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Paper Citation Record · LEDGER

All in One: Exploring Unified Video-Language Pre-training

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.07303.

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

pith.paper-citation-record.v1
2203.07303 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-20T06:30:07.809122+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T00:36:53.235740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:36:53.361473Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 15f088e5-4bdb-4807-953c-29f47edcd0ee · inbound

Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning All in One: Exploring Unified Video-Language Pre-training

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:22:30.588905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-12T04:22:30.008355Z digest=sha256:0c584561afbe15542a411f67a26b4954cb03b13879a74a3c78f3a5ddb3f96711

Observation cc8bf875-748c-49ee-8abc-6769e4e8bf71 · inbound

GIT: A Generative Image-to-text Transformer for Vision and Language cites this paper.

GIT: A Generative Image-to-text Transformer for Vision and Language All in One: Exploring Unified Video-Language Pre-training

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:54:07.715218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-16T20:54:07.572136Z digest=sha256:797da42d6016a5521a4182e4c37770c40d30537ba73bd1325d327268127c9bc9

Observation d592edaf-3d7a-463e-a2e4-c647938fae95 · inbound

InternVideo: General Video Foundation Models via Generative and Discriminative Learning cites this paper.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning All in One: Exploring Unified Video-Language Pre-training

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:36:53.363109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-17T00:36:53.235740Z digest=sha256:47595af5ef2db72752dbe1bbd9c02a86acab42e4bc5a3cce7eed686f908fdd11

Observation 3a02762d-64c5-4419-932f-1de2d9e32d0a · inbound

VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding All in One: Exploring Unified Video-Language Pre-training

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T23:30:00.646028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-13T23:30:00.457974Z digest=sha256:c7ad9df538ba4092dd37353d993e29ab79da52f86b99c029bbbf3f1a1750d102

Observation 44773781-818c-4857-ae18-e6dd84bce805 · inbound

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation cites this paper.

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation All in One: Exploring Unified Video-Language Pre-training

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:30:22.616379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-20T06:30:07.809122+00:00.

source=pdf_text observed=2026-05-15T06:30:22.431538Z digest=sha256:8b7b1bcac1d25e786f7632b6106dace6852182c0e4ebb2fcfeeb91077498f5d5