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Paper Citation Record · LEDGER

C3G: Learning Compact 3D Representations with 2K Gaussians

As of 18 July 2026, this Paper Citation Record lists 83 of 83 outbound references and 8 inbound Pith citation observations for arXiv:2512.04021.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2512.04021 v2

Coverage vector

measured 83 of 83 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T02:06:54.730272Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:07:50.491677Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-02T07:46:45.723756Z

Reference resolution

83 of 83 outbound references displayed

  • verified exact25
  • verified fuzzy52
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 44a3305a-f0ab-46a7-aa5f-372208527c44 · outbound

This paper cites Cross-view completion models are zero-shot correspondence estimators.

C3G: Learning Compact 3D Representations with 2K Gaussians Cross-view completion models are zero-shot correspondence estimators

Reference 1

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Source-reported events for the cited work

Unavailable: named source frontier unavailable.

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Observation c3431690-7bf9-41b9-bf16-ec56fc638c4b · outbound

This paper cites Layer Normalization.

C3G: Learning Compact 3D Representations with 2K Gaussians Layer Normalization

Reference 2

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local_arxiv, observed 2026-05-17T02:08:51.396013Z

Source-reported events for the cited work

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Observation b31eb964-58b3-4e6c-b28b-e7c4694586e3 · outbound

This paper cites Spatial memory: how egocentric and allocen- tric combine.Trends in cognitive sciences, 10(12):551–557.

C3G: Learning Compact 3D Representations with 2K Gaussians Spatial memory: how egocentric and allocen- tric combine.Trends in cognitive sciences, 10(12):551–557

Reference 3

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Observation 56e13757-b024-4021-a6ec-b3610d5bbbb6 · outbound

This paper cites pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction.

C3G: Learning Compact 3D Representations with 2K Gaussians pixelsplat: 3d gaussian splats from image pairs for scalable generalizable 3d reconstruction

Reference 4

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raw_fallback, observed 2026-05-17T02:08:51.967572Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:96e6e1c563f4e8b4093013f96bfee43d47225ae14cb950cd6d4b6007b32c4a38

Observation eb338efa-8e2b-4aaf-afb2-bab49c78545e · outbound

This paper cites Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images.

C3G: Learning Compact 3D Representations with 2K Gaussians Mvsplat: Efficient 3d gaussian splatting from sparse multi-view images

Reference 5

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Observation 052f9c08-03fb-4b02-8b1c-b4f39578705b · outbound

This paper cites Occam’s lgs: An efficient approach for language gaussian splatting.

C3G: Learning Compact 3D Representations with 2K Gaussians Occam’s lgs: An efficient approach for language gaussian splatting

Reference 6

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arxiv_id, observed 2026-05-17T02:08:51.315856Z

Source-reported events for the cited work

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Observation 3e594e1d-feb2-445f-8c9f-f6ea0116fa8b · outbound

This paper cites Cats: Cost ag- gregation transformers for visual correspondence.Advances in Neural Information Processing Systems, 34:9011–9023.

C3G: Learning Compact 3D Representations with 2K Gaussians Cats: Cost ag- gregation transformers for visual correspondence.Advances in Neural Information Processing Systems, 34:9011–9023

Reference 7

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:2bbda3391711854e94a60c1879ac2ab4f77419246c0845719fc8feddc3b6036e

Observation c21df4db-9bd6-4815-a26a-aa294a2b5366 · outbound

This paper cites Cats++: Boosting cost aggregation with convolutions and transformers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6):7174–7194.

C3G: Learning Compact 3D Representations with 2K Gaussians Cats++: Boosting cost aggregation with convolutions and transformers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(6):7174–7194

Reference 8

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Observation 9be9152a-8818-48f2-9d8b-2ad6e87ef851 · outbound

This paper cites Cat- seg: Cost aggregation for open-vocabulary semantic seg- mentation.

C3G: Learning Compact 3D Representations with 2K Gaussians Cat- seg: Cost aggregation for open-vocabulary semantic seg- mentation

Reference 9

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:2c5c642d4d66ce8d914307dfcf3eb62ac361ba158e961e1db490ad0c8fd88936

Observation bd0380d3-0bdc-4942-b8c8-be261fe3018b · outbound

This paper cites Scannet: Richly-annotated 3d reconstructions of indoor scenes.

C3G: Learning Compact 3D Representations with 2K Gaussians Scannet: Richly-annotated 3d reconstructions of indoor scenes

Reference 10

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Observation f024b4b2-4754-4553-bd35-22911426e7c7 · outbound

This paper cites Learning to render novel views from wide-baseline stereo pairs.

C3G: Learning Compact 3D Representations with 2K Gaussians Learning to render novel views from wide-baseline stereo pairs

Reference 11

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Observation 02e1a222-c728-4513-9989-4c8502b3cf05 · outbound

This paper cites Roma: Robust dense fea- ture matching.

C3G: Learning Compact 3D Representations with 2K Gaussians Roma: Robust dense fea- ture matching

Reference 12

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Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:2d568f6dfa9af2bd87a4feaa7b0aa5138716e3f74e704bc112e0749bcc9f3cd0

Observation af7718f0-c299-451a-b6eb-303758d5063f · outbound

This paper cites Prob- ing the 3d awareness of visual foundation models.

C3G: Learning Compact 3D Representations with 2K Gaussians Prob- ing the 3d awareness of visual foundation models

Reference 13

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Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:4fb4194b73fa6b7af18e88aa839c1a8d21d536fef764a03acc3fb751b4d66ff1

Observation 6254453f-030d-4b2a-aa0e-fa757f51c3d4 · outbound

This paper cites Large spatial model: End-to-end unposed images to semantic 3d.Advances in neural information processing systems, 37:40212–40229.

C3G: Learning Compact 3D Representations with 2K Gaussians Large spatial model: End-to-end unposed images to semantic 3d.Advances in neural information processing systems, 37:40212–40229

Reference 14

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:81b3d6fcab4529c27431ab06688079611a2e42796aa4dcf0a56713f8427f45ec

Observation c73b0039-4857-4208-91e7-b6dd1b5beb88 · outbound

This paper cites an unresolved cited work.

C3G: Learning Compact 3D Representations with 2K Gaussians Unresolved cited work

Reference 15

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Observation 22f6a565-20ed-44e9-8081-0fa14dd433d5 · outbound

This paper cites arXiv preprint arXiv:2504.00992 , year=.

C3G: Learning Compact 3D Representations with 2K Gaussians arXiv preprint arXiv:2504.00992 , year=

Reference 16

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arxiv_id, observed 2026-05-17T02:08:51.364293Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:62bf46f054c1fa7013731f7998375f0b1f2e98bde5b9f6a3fec7a1e2a6bf67ac

Observation 6b637e54-a3e8-484b-9059-73a1db13424f · outbound

This paper cites D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes, April 2025.

C3G: Learning Compact 3D Representations with 2K Gaussians D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes, April 2025

Reference 17

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Observation 7e0aa673-bed8-415e-a3b0-6ea18076e3c1 · outbound

This paper cites Deep matching prior: Test-time optimization for dense correspondence.

C3G: Learning Compact 3D Representations with 2K Gaussians Deep matching prior: Test-time optimization for dense correspondence

Reference 18

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Observation 43c6e3e5-17e6-4c12-be0b-f55de57c0f4a · outbound

This paper cites Cost aggregation with 4d convolutional swin transformer for few-shot segmentation.

C3G: Learning Compact 3D Representations with 2K Gaussians Cost aggregation with 4d convolutional swin transformer for few-shot segmentation

Reference 19

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:990d21fdb8fbdad8b6fe6a44af9437638d68d7f98579e5885a0d8942d74b93aa

Observation ac62c007-ec12-4cbf-bba2-59f7a8c5e2f4 · outbound

This paper cites Neural matching fields: Implicit representation of matching fields for visual correspondence.Advances in Neural Information Processing Systems, 35:13512–13526.

C3G: Learning Compact 3D Representations with 2K Gaussians Neural matching fields: Implicit representation of matching fields for visual correspondence.Advances in Neural Information Processing Systems, 35:13512–13526

Reference 20

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:05419daf8313b3c617c693684641e1b8f64a2afdcd55776d8a06766693c0317e

Observation 2a23b26a-7fd9-4023-99b0-33a0a1a0d96e · outbound

This paper cites Unifying feature and cost aggregation with transformers for semantic and visual correspondence.

C3G: Learning Compact 3D Representations with 2K Gaussians Unifying feature and cost aggregation with transformers for semantic and visual correspondence

Reference 21

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arxiv_id, observed 2026-05-17T02:08:51.344210Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:2ea075bddda72cc81f41c82a7d8a5fee646ecd767aae894bf3d4db20ecd36113

Observation 7e1d8d6c-8e9e-4aec-9287-7283f9252ee9 · outbound

This paper cites Pf3plat: Pose-free feed-forward 3d gaussian splatting.

C3G: Learning Compact 3D Representations with 2K Gaussians Pf3plat: Pose-free feed-forward 3d gaussian splatting

Reference 22

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:010d22330ba254aee56cacf98261a80fe3d3ee8d8bb12c98be498a06a4ba31cc

Observation d5335d5b-b74f-41fe-8a88-5b2042ce3a1c · outbound

This paper cites Unifying cor- respondence pose and nerf for generalized pose-free novel view synthesis.

C3G: Learning Compact 3D Representations with 2K Gaussians Unifying cor- respondence pose and nerf for generalized pose-free novel view synthesis

Reference 23

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:c07aaf74c22958e348bdc37822977fa72571b4d9a89fd9ca0b1807121980e396

Observation 8e52bda5-f56c-47e8-9b6c-a24eae03e796 · outbound

This paper cites Longsplat: On- line generalizable 3d gaussian splatting from long sequence images.

C3G: Learning Compact 3D Representations with 2K Gaussians Longsplat: On- line generalizable 3d gaussian splatting from long sequence images

Reference 24

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Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:583e4554eb1916f3ede8c2e2d54849c47ff9e058d4aa7cdb4cc64a5e1ca42d39

Observation 5aba0de2-b4c8-45fa-ad3e-d7a0ab284e9a · outbound

This paper cites No pose at all: Self-supervised pose-free 3d gaussian splatting from sparse 21 views.

C3G: Learning Compact 3D Representations with 2K Gaussians No pose at all: Self-supervised pose-free 3d gaussian splatting from sparse 21 views

Reference 25

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Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:a62e39d80433c70d4b5dedb46013304e5e3d1ffc075f3669ee814f26cc6f254d

Observation 61b557aa-0ab2-499e-a269-5b691f1cb53f · outbound

This paper cites Anysplat: Feed-forward 3d gaussian splatting from unconstrained views.

C3G: Learning Compact 3D Representations with 2K Gaussians Anysplat: Feed-forward 3d gaussian splatting from unconstrained views

Reference 26

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arxiv_id, observed 2026-05-17T02:08:51.356388Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:e4ce90f84b9f605ecc45cd41c14f35566d1d54bea41361b25d20fab5a885a24e

Observation baa3c3ee-d8a4-410f-849f-b07b0a0f856d · outbound

This paper cites Geonerf: Generalizing nerf with geometry priors.

C3G: Learning Compact 3D Representations with 2K Gaussians Geonerf: Generalizing nerf with geometry priors

Reference 27

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raw_fallback, observed 2026-05-17T02:08:51.946515Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:0ef48760335377b605c09a8a8d3c587f4e1e7357dc2ed80c070e94e0c0cdd7aa

Observation 87ae0b0b-892f-435c-8e79-9e2388e66a27 · outbound

This paper cites an unresolved cited work.

C3G: Learning Compact 3D Representations with 2K Gaussians Unresolved cited work

Reference 28

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Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:dbf8a097c9cbea7ac2010b548660f12e0dc1bc38717931a2dd0cc1933069d6ba

Observation de5e19ac-38f1-4f9e-9305-7b0b27ac90e5 · outbound

This paper cites Relaxing accurate initialization constraint for 3d gaussian splatting.

C3G: Learning Compact 3D Representations with 2K Gaussians Relaxing accurate initialization constraint for 3d gaussian splatting

Reference 29

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raw_fallback, observed 2026-05-17T02:08:51.908934Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:7f42333b8289b5dba21e0929e920f8262bbbb681b38a47bbfb2828b692cf52b7

Observation e19ad191-7dbb-4caf-a0c7-4d662fb51b27 · outbound

This paper cites 3d gaussian splatting for real-time radiance field rendering.ACM Trans.

C3G: Learning Compact 3D Representations with 2K Gaussians 3d gaussian splatting for real-time radiance field rendering.ACM Trans

Reference 30

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raw_fallback, observed 2026-05-17T02:08:51.869041Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:d3e9f4e721c8a8c0245b26b56372aafb40355e2c383eab72288c01ba204ff9f0

Observation 8172b036-c308-44e4-98cb-99c55d7dfce9 · outbound

This paper cites Seg4diff: Unveiling open-vocabulary segmentation in text-to-image diffusion transformers.

C3G: Learning Compact 3D Representations with 2K Gaussians Seg4diff: Unveiling open-vocabulary segmentation in text-to-image diffusion transformers

Reference 31

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arxiv_id, observed 2026-05-17T02:08:51.299550Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:3ae011a43390dd604cc530cbe153831e1b64e03cbf3c38936de3cd8b00a70f25

Observation 034f2570-cec8-41d1-9ad5-03e69ba0b600 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

C3G: Learning Compact 3D Representations with 2K Gaussians Adam: A Method for Stochastic Optimization

Reference 32

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local_arxiv, observed 2026-05-17T02:08:51.303557Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:cebc60c92bfbddf0f1211b2421e4e64768561d4a1b2df95ff70cb7b4b063f455

Observation 76b8687c-80ea-4eea-b870-4a395688047d · outbound

This paper cites Segment any- thing.

C3G: Learning Compact 3D Representations with 2K Gaussians Segment any- thing

Reference 33

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raw_fallback, observed 2026-05-17T02:08:51.848886Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:8b4879673a007b9e6d4d43c8bda951105085a9c4195d69fea69727f4fb4ff568

Observation c94c8aad-3c93-49aa-acf5-c151d02fda1c · outbound

This paper cites Cf3: Compact and fast 3d feature fields.arXiv preprint arXiv:2508.05254.

C3G: Learning Compact 3D Representations with 2K Gaussians Cf3: Compact and fast 3d feature fields.arXiv preprint arXiv:2508.05254

Reference 34

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arxiv_id, observed 2026-05-17T02:08:51.325339Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:b01cc515dd97204b9d402724d2b68d40586f8efd3053036abbebf7d6579f3b5b

Observation 959e435e-5343-4da5-9f3f-6af7992bfd94 · outbound

This paper cites an unresolved cited work.

C3G: Learning Compact 3D Representations with 2K Gaussians Unresolved cited work

Reference 35

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:3f4e27c877e8591b390b0ce80f9b1b9edc94c092f02f6f734016b4ad4e8b7545

Observation b2327292-8183-4576-bf2c-516cb3d885a6 · outbound

This paper cites Ground- ing image matching in 3d with mast3r.

C3G: Learning Compact 3D Representations with 2K Gaussians Ground- ing image matching in 3d with mast3r

Reference 36

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raw_fallback, observed 2026-05-17T02:08:51.866199Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:bc8b8e9ffe260292963c9b79a36304448fa6ee79b09bad8d8959c29e6ad4bde0

Observation 5b855589-ecfc-481c-81e4-a951d7ee05c4 · outbound

This paper cites Language-driven Semantic Segmentation.

C3G: Learning Compact 3D Representations with 2K Gaussians Language-driven Semantic Segmentation

Reference 37

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arxiv_id, observed 2026-05-17T03:21:12.879668Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:8dc11179ddce60cf407b0551a1799ca2942a7e73d7441cb60111347b88008df5

Observation 6138bd08-0e78-40bf-8299-6890a28d44cc · outbound

This paper cites Langsplatv2: High- dimensional 3d language gaussian splatting with 450+ fps.

C3G: Learning Compact 3D Representations with 2K Gaussians Langsplatv2: High- dimensional 3d language gaussian splatting with 450+ fps

Reference 38

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arxiv_id, observed 2026-05-17T02:08:51.292291Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:5c1115772caea02424cf16b2547c531f91f6c7831459cb6a592165237d6d979b

Observation 892a3d7f-a4b5-46f2-892b-97bfb7bb0169 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916.

C3G: Learning Compact 3D Representations with 2K Gaussians Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916

Reference 39

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raw_fallback, observed 2026-05-17T02:08:51.861695Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:1cab5216be07b2e5e2a7551c32e20f6872f4467ee6c04588041ab6afff893ec6

Observation e59a33c1-f52f-4f58-8026-898c779ed363 · outbound

This paper cites Improved baselines with visual instruction tuning.

C3G: Learning Compact 3D Representations with 2K Gaussians Improved baselines with visual instruction tuning

Reference 40

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raw_fallback, observed 2026-05-17T02:08:51.911707Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:42a493b94ad6b6466787b294fb39df49d4d850945a687aa86936bdf893792218

Observation 0d2c4f76-58e3-4769-95d7-7ef69a9e343a · outbound

This paper cites Decoupled Weight Decay Regularization.

C3G: Learning Compact 3D Representations with 2K Gaussians Decoupled Weight Decay Regularization

Reference 41

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local_arxiv, observed 2026-05-17T02:08:51.329421Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:77500776adbcf7c1fba9878031a574c5de38b6b4993dc85f844b9603924a41e3

Observation 6beb13b0-055d-483c-afbc-fab1b817e2f5 · outbound

This paper cites Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60(2):91–110.

C3G: Learning Compact 3D Representations with 2K Gaussians Distinctive image features from scale- invariant keypoints.International journal of computer vi- sion, 60(2):91–110

Reference 42

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raw_fallback, observed 2026-05-17T02:08:51.864174Z

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Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:c1ee2ffbc4362561533f2b1192ed9ac6e26638b0361884520e73be121b23fb59

Observation 6acbc162-3239-4556-8fbe-ead6d823f65f · outbound

This paper cites Ludvig: Learning-free uplift- ing of 2d visual features to gaussian splatting scenes.

C3G: Learning Compact 3D Representations with 2K Gaussians Ludvig: Learning-free uplift- ing of 2d visual features to gaussian splatting scenes

Reference 43

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raw_fallback, observed 2026-05-17T02:08:51.837327Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:0b2ffeda4e2ac096f02ee5ca70f7200a3e2d3b1703d243bc5c8cffb59a70bd9a

Observation fb007cee-f9ae-4e37-b9a0-69bb5e6c2cde · outbound

This paper cites Evolsplat: Efficient volume-based gaussian splatting for urban view synthesis.

C3G: Learning Compact 3D Representations with 2K Gaussians Evolsplat: Efficient volume-based gaussian splatting for urban view synthesis

Reference 44

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raw_fallback, observed 2026-05-17T02:08:51.835131Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:d398c1031607e58ca863011eabda65600ac7a5d3bcf2e3f7795e2c9db3ad0417

Observation 9cb68348-abb9-418a-abbd-b9be38e89f2d · outbound

This paper cites Differentiable blocks world: Qualitative 3d decomposition by rendering primitives.Advances in Neu- ral Information Processing Systems, 36:5791–5807.

C3G: Learning Compact 3D Representations with 2K Gaussians Differentiable blocks world: Qualitative 3d decomposition by rendering primitives.Advances in Neu- ral Information Processing Systems, 36:5791–5807

Reference 45

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raw_fallback, observed 2026-05-17T02:08:51.839295Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:6a0b6f370fc29e470cba985882bbfccca78e4c6f6d27cc76c2ec8649078cef78

Observation e4e8c9c4-9ccf-4f2f-9398-d4604c0c5b27 · outbound

This paper cites Polyfit: Polygonal surface reconstruction from point clouds.

C3G: Learning Compact 3D Representations with 2K Gaussians Polyfit: Polygonal surface reconstruction from point clouds

Reference 46

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raw_fallback, observed 2026-05-17T02:08:51.919849Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:d117c379d395015b289c48ddcad252cdae096b85981efecefe85c10dfc27e118

Observation dd47e3fe-0f94-49fe-a8a2-5605eaba7de9 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

C3G: Learning Compact 3D Representations with 2K Gaussians DINOv2: Learning Robust Visual Features without Supervision

Reference 47

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local_arxiv, observed 2026-05-17T02:08:51.385780Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:a4d01e8cbca3ab9a77b652e80c732a3197ac204e49a07e7bae3560ab87b54683

Observation dfd6a254-d886-4f14-8be6-26df5ca5d236 · outbound

This paper cites Superquadrics revisited: Learning 3d shape pars- ing beyond cuboids.

C3G: Learning Compact 3D Representations with 2K Gaussians Superquadrics revisited: Learning 3d shape pars- ing beyond cuboids

Reference 48

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raw_fallback, observed 2026-05-17T02:08:51.857612Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:8cd0ecfd9c0906256187c574325c63e47f72dad27b462b5c86be6cf1f1b43b9f

Observation 65a2cfe2-019b-43ed-9d49-98a4ca0a19e8 · outbound

This paper cites Learning unsupervised hierarchical part decomposition of 3d objects from a single rgb image.

C3G: Learning Compact 3D Representations with 2K Gaussians Learning unsupervised hierarchical part decomposition of 3d objects from a single rgb image

Reference 49

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raw_fallback, observed 2026-05-17T02:08:51.855646Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:f3eb5b077c68b30b460c664422d3b0ede9d38fef2ff089d01495d4b70da1c197

Observation 2f680415-875b-4b35-ab83-6b3e0579c625 · outbound

This paper cites Scalable diffusion models with transformers.

C3G: Learning Compact 3D Representations with 2K Gaussians Scalable diffusion models with transformers

Reference 50

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raw_fallback, observed 2026-05-17T02:08:51.935080Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:7f6cc48c0808895af995999d8abb7edbce5c22e44e32c841c51c416dcdb6650e

Observation 799b3164-c2ff-4b68-b9b4-025eca0f18e6 · outbound

This paper cites Unidepth: Universal monocular metric depth estimation.

C3G: Learning Compact 3D Representations with 2K Gaussians Unidepth: Universal monocular metric depth estimation

Reference 51

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raw_fallback, observed 2026-05-17T02:08:51.853550Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:baa65a58e90b3e06bf8716c0df5757da7918c117f7b6a4c8d436ccb927cfd545

Observation 11a0d46b-5c7d-4dff-83de-cb6193fe4279 · outbound

This paper cites Langsplat: 3d language gaussian splatting.

C3G: Learning Compact 3D Representations with 2K Gaussians Langsplat: 3d language gaussian splatting

Reference 52

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raw_fallback, observed 2026-05-17T02:08:51.922981Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:8a1f8bab21ca33ac06c78754c24ba602a7d488ba77b38dc992122aa800b7d5a7

Observation 6a5393e6-5448-4287-861e-da08051105cd · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

C3G: Learning Compact 3D Representations with 2K Gaussians Learning transferable visual models from natural language supervi- sion

Reference 53

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raw_fallback, observed 2026-05-17T02:08:51.941029Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:b434e66609a5dba42b50fcd597718a5cceba6f4caabb7f85e4edc979024d1a94

Observation bf7570f1-91e5-462a-b928-5c5c6b0ede18 · outbound

This paper cites Superglue: Learning feature matching with graph neural networks.

C3G: Learning Compact 3D Representations with 2K Gaussians Superglue: Learning feature matching with graph neural networks

Reference 54

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raw_fallback, observed 2026-05-17T02:08:51.851346Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:2413553b065a4732de2f8d9d9242a859c43b654fdade6ccaceb55de1ae37a6e4

Observation e2cbfe3c-2f2d-485e-98d5-62f68f80e97e · outbound

This paper cites Structure- from-motion revisited.

C3G: Learning Compact 3D Representations with 2K Gaussians Structure- from-motion revisited

Reference 55

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raw_fallback, observed 2026-05-17T02:08:51.943530Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:e16b6afbeb19b1d0e76b52bfd08356168346c3f7bb0c263e5cc40c4c26a612d2

Observation eee8b240-46f4-4033-bd58-e086a5b4fd4e · outbound

This paper cites Distilled feature fields en- able few-shot language-guided manipulation.

C3G: Learning Compact 3D Representations with 2K Gaussians Distilled feature fields en- able few-shot language-guided manipulation

Reference 56

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arxiv_id, observed 2026-05-17T02:08:51.335099Z

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Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:56b2a36bf121c755e16db54ff936d30a98400de7fb2f85c003f529de62bcb7de

Observation f4070a49-d693-4bba-9ee8-8243ee68bb0d · outbound

This paper cites Spatialsplat: Efficient semantic 3d from sparse unposed images.

C3G: Learning Compact 3D Representations with 2K Gaussians Spatialsplat: Efficient semantic 3d from sparse unposed images

Reference 57

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arxiv_id, observed 2026-05-17T02:08:51.367943Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:11b509505cd1f6bbe4c918068c0745d1359f3956108dffd0db6521601bb9ba0a

Observation edb3b764-c36b-460a-a082-e6a28109d843 · outbound

This paper cites Mental rotation of three-dimensional objects.Science, 171(3972):701–703.

C3G: Learning Compact 3D Representations with 2K Gaussians Mental rotation of three-dimensional objects.Science, 171(3972):701–703

Reference 58

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raw_fallback, observed 2026-05-17T02:08:51.926331Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:9a1cc9228b70ef27ec599b9fb1445a9ee09005b26ecf7ee54a04ccb1e6303a83

Observation de18fa8c-5525-483a-8186-f7a02e1b8252 · outbound

This paper cites Towards open-vocabulary semantic segmentation with- out semantic labels.Advances in Neural Information Pro- cessing Systems, 37:9153–9177.

C3G: Learning Compact 3D Representations with 2K Gaussians Towards open-vocabulary semantic segmentation with- out semantic labels.Advances in Neural Information Pro- cessing Systems, 37:9153–9177

Reference 59

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raw_fallback, observed 2026-05-17T02:08:51.964925Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:4df7e56f71600ddb787b88b57aa63372a43eacc3ed2858363cc1fef982fcb63c

Observation 0081e8c6-f88e-4cde-910e-c815499703f2 · outbound

This paper cites DINOv3.

C3G: Learning Compact 3D Representations with 2K Gaussians DINOv3

Reference 60

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local_arxiv, observed 2026-05-17T02:08:51.295886Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:838868e3e80253c29a4157db640295f3709968bf5c7e36a162574d9821df9ee4

Observation 236f1940-ea4a-4ad6-80c1-02e924a8b7d0 · outbound

This paper cites Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs.

C3G: Learning Compact 3D Representations with 2K Gaussians Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs

Reference 61

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local_arxiv, observed 2026-05-17T02:08:51.350515Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:729d29d0bf7b50bc50b3d85ad76641ad9f98c27932c8fb53f4f35c3830b0425f

Observation ba392089-027b-4f7a-b1f2-87020d8e9400 · outbound

This paper cites The Replica Dataset: A Digital Replica of Indoor Spaces.

C3G: Learning Compact 3D Representations with 2K Gaussians The Replica Dataset: A Digital Replica of Indoor Spaces

Reference 62

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local_arxiv, observed 2026-05-17T02:08:51.339480Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:f250cfab9b3a3425051971c64c94007c20184ae55a55510a095920c66fc051a6

Observation fb3d6370-2fd0-474a-a867-e3a51151b0ca · outbound

This paper cites Learning shape abstractions by as- sembling volumetric primitives.

C3G: Learning Compact 3D Representations with 2K Gaussians Learning shape abstractions by as- sembling volumetric primitives

Reference 63

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raw_fallback, observed 2026-05-17T02:08:51.845104Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:0a3c5cf35dbd481404fa6ecf7b5231eb983783fff22bacf6b4c626bb768cb057

Observation e0ca8d4f-5289-43d8-a322-9512c4595114 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30.

C3G: Learning Compact 3D Representations with 2K Gaussians Attention is all you need.Advances in neural information processing systems, 30

Reference 64

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raw_fallback, observed 2026-05-17T02:08:51.843152Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:db2824e01107cc5c0012e3d306dc6473472303077e22e51e23ce6b13045c413e

Observation 95888265-77aa-4bc9-aaae-d8c8076743ff · outbound

This paper cites Vggt: Vi- sual geometry grounded transformer.

C3G: Learning Compact 3D Representations with 2K Gaussians Vggt: Vi- sual geometry grounded transformer

Reference 65

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raw_fallback, observed 2026-05-17T02:08:51.841147Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:41954707d67189f2624c032bf8ac542be5de60c03750d12acd869c4318ab0c2f

Observation 4cb581fb-c571-4293-9331-9fce49830097 · outbound

This paper cites Ibr- net: Learning multi-view image-based rendering.

C3G: Learning Compact 3D Representations with 2K Gaussians Ibr- net: Learning multi-view image-based rendering

Reference 66

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raw_fallback, observed 2026-05-17T02:08:51.956019Z

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Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:81bf0df350ee72acd293f218a6e4b0b25ee93edb00610a7026568532a0f92a02

Observation fa3a91e9-137b-4ed0-bc23-fdd131cf4273 · outbound

This paper cites Dust3r: Geometric 3d vi- sion made easy.

C3G: Learning Compact 3D Representations with 2K Gaussians Dust3r: Geometric 3d vi- sion made easy

Reference 67

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raw_fallback, observed 2026-05-17T02:08:51.958921Z

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source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:4585a22026ea27e4deb0f86b003ba1f3553075bb0d729bfd4371d55450bafbb7

Observation 866fb9a5-1665-464f-9ce9-d4104423a77c · outbound

This paper cites Zpressor: Bottleneck-aware compression for scalable feed-forward 3dgs.

C3G: Learning Compact 3D Representations with 2K Gaussians Zpressor: Bottleneck-aware compression for scalable feed-forward 3dgs

Reference 68

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arxiv_id, observed 2026-05-17T02:08:51.374844Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:3aeeee3049364a08c68ec213592d58519ffa659f6c9ac6b0039532ed127d0e6a

Observation 21e23298-cb7a-4cf1-9849-9a2f48e2bd7d · outbound

This paper cites VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction.

C3G: Learning Compact 3D Representations with 2K Gaussians VolSplat: Rethinking Feed-Forward 3D Gaussian Splatting with Voxel-Aligned Prediction

Reference 69

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arxiv_id, observed 2026-06-25T02:17:30.860642Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:ad15c39128d2871970adde6f5b97aebca868d059768e1c4db80d12952a0a9aa8

Observation 6493e8d0-2b6e-491f-982e-fa4b57984a8e · outbound

This paper cites Freesplat: Generalizable 3d gaussian splatting towards free view synthesis of indoor scenes.Advances in Neural Information Processing Systems, 37:107326–107349.

C3G: Learning Compact 3D Representations with 2K Gaussians Freesplat: Generalizable 3d gaussian splatting towards free view synthesis of indoor scenes.Advances in Neural Information Processing Systems, 37:107326–107349

Reference 70

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raw_fallback, observed 2026-05-17T02:08:51.949693Z

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Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:ce15dce2b76cb227b0ecfd95263a0122a537bb31bb341404909f011682c70762

Observation 6a3513cc-d2f4-47a7-8f1c-4383e9653d09 · outbound

This paper cites Anyup: Universal feature upsampling.

C3G: Learning Compact 3D Representations with 2K Gaussians Anyup: Universal feature upsampling

Reference 71

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arxiv_id, observed 2026-05-17T02:08:51.288151Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:a74b6fcc43794665edb9b9f7d31ff49d02d71785bfbbf114121134871641441b

Observation e6f0438b-5984-46b3-bcf8-f395b8a26ba9 · outbound

This paper cites Murf: multi-baseline radiance fields.

C3G: Learning Compact 3D Representations with 2K Gaussians Murf: multi-baseline radiance fields

Reference 72

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raw_fallback, observed 2026-05-17T02:08:51.931679Z

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Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:96d18f9a93432dcaa571b057655cec505aa8fb98fc3cf37c9bcd15775972ab62

Observation 3cd4d0aa-57b1-417c-9575-12bdef679d90 · outbound

This paper cites No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images.

C3G: Learning Compact 3D Representations with 2K Gaussians No pose, no problem: Surprisingly simple 3d gaussian splats from sparse unposed images

Reference 73

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arxiv_id, observed 2026-05-17T02:08:51.389458Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:a37d8f1358f77a76a1727d84b2cd2ee79520d8eccf8362ddf7ee56ac3dbe0bc5

Observation 518ad503-d2b9-450c-895c-4077c5ef389f · outbound

This paper cites pixelnerf: Neural radiance fields from one or few images.

C3G: Learning Compact 3D Representations with 2K Gaussians pixelnerf: Neural radiance fields from one or few images

Reference 74

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verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.937798Z

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Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:95657ed229266d8f2c1a29dcdf2793e976b4bfad087727a0fea692a267ab2d6e

Observation 5a8148a1-670d-4f9d-8593-ddd534a2d268 · outbound

This paper cites Improving 2d feature representations by 3d-aware fine-tuning.

C3G: Learning Compact 3D Representations with 2K Gaussians Improving 2d feature representations by 3d-aware fine-tuning

Reference 75

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raw_fallback, observed 2026-05-17T02:08:51.929142Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:7698b6c28ccc1bcaf73f74e1f0bcd82c8e91747bd6519d0f6283928d46b1cf7a

Observation d62be158-25e1-459a-b4ba-e165c4fff99f · outbound

This paper cites Knaebel, K.

C3G: Learning Compact 3D Representations with 2K Gaussians Knaebel, K

Reference 76

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T02:08:51.392984Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:90cd192689aafddce0142bb5ad787be97f9ffeb5e2c313a3c5ce76424cd3bf43

Observation 81014a71-3f1e-4cbd-a6f2-83044bc37d05 · outbound

This paper cites Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers.

C3G: Learning Compact 3D Representations with 2K Gaussians Transplat: Generalizable 3d gaussian splatting from sparse multi-view images with transformers

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.952803Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:977c9eb5b7f374ab7f78b1806a85c29d61f6d893e34bc5ac03e8cb9be4a4b7bb

Observation d988893a-6e41-45fd-b93f-f6e0b3bc31d9 · outbound

This paper cites an unresolved cited work.

C3G: Learning Compact 3D Representations with 2K Gaussians Unresolved cited work

Reference 78

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unresolved
raw_fallback, observed 2026-05-17T02:08:51.885242Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:08a771549b3e649765b4fa16cf42f4b8c515a25705749bd69ea896a1a74f7dff

Observation d531d9ff-6ff3-4ffd-9661-613cac63be96 · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

C3G: Learning Compact 3D Representations with 2K Gaussians Diffusion Transformers with Representation Autoencoders

Reference 79

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:08:51.360473Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:f289884891e093ed0fc5b13425810316f3535385555693c0e2c722e499007767

Observation 854206c5-d154-43fd-b9d5-da7da733b661 · outbound

This paper cites Extract free dense labels from clip.

C3G: Learning Compact 3D Representations with 2K Gaussians Extract free dense labels from clip

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.875904Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:1fde1ccc445649428836b4f3d5138076ba726f618062bc6ee1a6b3af1ae72fa8

Observation 140d8f8d-66a0-4a70-9fa4-26aaa4563187 · outbound

This paper cites Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields.

C3G: Learning Compact 3D Representations with 2K Gaussians Feature 3dgs: Supercharging 3d gaussian splatting to enable distilled feature fields

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.917126Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:f3eea82fa6bfd54fe02a7e424da619bdff6e60eef28f33659bbf821aa460a48d

Observation 08c27cd2-2e9e-424f-81e8-6fed6d985cde · outbound

This paper cites Stereo Magnification: Learning View Synthesis using Multiplane Images.

C3G: Learning Compact 3D Representations with 2K Gaussians Stereo Magnification: Learning View Synthesis using Multiplane Images

Reference 82

Resolution
verified exact
local_arxiv, observed 2026-05-17T02:08:51.382185Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:25fb0f8285652501385bfe7ec55aedb22c835048228c263a8d0b89c133764e21

Observation 383a47f4-23c4-4c6c-a416-3b43cda75b0e · outbound

This paper cites Long-lrm: Long- sequence large reconstruction model for wide-coverage gaussian splats.

C3G: Learning Compact 3D Representations with 2K Gaussians Long-lrm: Long- sequence large reconstruction model for wide-coverage gaussian splats

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T02:08:51.962123Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-17T02:06:54.730272Z digest=sha256:bc57691637f6dc326362faf9ce87be7dbde468dd57d83869eb6219430ad7b86d

Pith citing papers

Observation 91920249-d5c9-4d24-8d92-382e763ebd76 · inbound

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models cites this paper.

Entropy-Gradient Grounding: Training-Free Evidence Retrieval in Vision-Language Models C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T07:16:11.325152Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-10T17:14:11.941977Z digest=sha256:d6766f0d637403d88554ac1fbada96c41d3c3bfd572ef8dcead625ac35f13ac6

Observation 1cff2833-f9ca-42c9-970a-e88ac744a268 · inbound

GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens cites this paper.

GlobalSplat: Efficient Feed-Forward 3D Gaussian Splatting via Global Scene Tokens C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T10:55:03.922850Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-10T10:53:50.950739Z digest=sha256:3d7d1697f007101221b31ed56f24c55e05b0d2e6ff9dbdccf3e40947a0555503

Observation f9e03970-0188-4b5f-9f80-1cf586c10ba6 · inbound

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis cites this paper.

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-11T04:35:57.951784Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-11T01:14:57.486828Z digest=sha256:e07b646a73db49bc727e4ac30f1eb13346b8059535fc9b50e83b0aaa4e7f66d1

Observation 3a7e72fa-0f6e-473b-862e-a4cbc8d2de1c · inbound

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis cites this paper.

SplatWeaver: Learning to Allocate Gaussian Primitives for Generalizable Novel View Synthesis C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-22T10:44:47.310192Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-22T10:44:18.694076Z digest=sha256:4120504fec4dcf7aca623741d36ccb1eefb2dbf8033eddb37a22e270d0c62679

Observation ab7dbd1d-f83d-4d97-af6c-aa10d4151d61 · inbound

PointForward: Feedforward Driving Reconstruction through Point-Aligned Representations cites this paper.

PointForward: Feedforward Driving Reconstruction through Point-Aligned Representations C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-13T01:27:02.656833Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-13T01:22:05.111224Z digest=sha256:c3c8387f85bd2746c08f4516b847fa794621bb7c125b6cd87dd8500d7a4f6446

Observation 2449f73f-22bd-4339-8e90-a21d9bcfee81 · inbound

No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos cites this paper.

No Pose, No Problem in 4D: Feed-Forward Dynamic Gaussians from Unposed Multi-View Videos C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-22T06:31:10.201291Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-05-22T06:27:21.559658Z digest=sha256:883c32cc1d7ef3882dd8d67c0ff454ff898f570231ea0febe1e689308f70f7ab

Observation bb3658ba-0d11-441c-8a4d-05292fe2997f · inbound

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction cites this paper.

Learning Global Motion with Compact Gaussians for Feed-Forward 4D Reconstruction C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-06-28T23:12:47.208780Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-06-28T23:07:50.491677Z digest=sha256:ae3c99e421554176a73b2fb76ab5854d9dbe3cf4667e2b9d6f0844c114475bdc

Observation 246f86a3-f2fd-42e0-98c0-60a3d03733b8 · inbound

ZipSplat: Fewer Gaussians, Better Splats cites this paper.

ZipSplat: Fewer Gaussians, Better Splats C3G: Learning Compact 3D Representations with 2K Gaussians

Reference 1

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T07:46:45.724896Z

Source-reported events for the cited work

Unavailable: named source frontier unavailable.

source=pdf_text observed=2026-06-28T06:47:10.385182Z digest=sha256:a9890aa448ae4ea2eeba5d38f5e10d780fab1c84b2812d93e44bb0e0b2afb7c4