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Paper Citation Record · LEDGER

Interactive Segment Anything NeRF with Feature Imitation

As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.16233.

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

pith.paper-citation-record.v1
2305.16233 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T21:24:21.859563Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:56:33.979711Z

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 73971ec3-9a58-44e1-a0c5-c1814ffde507 · inbound

Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping cites this paper.

Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping Interactive Segment Anything NeRF with Feature Imitation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:56:33.982921Z

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=2026-05-15T19:51:58.756605Z digest=sha256:63a1c0e072498339b815307251ea5d021452a53e73a6509282325b2a5553da47

Observation 1ea37f96-ed7e-40ac-97f2-ef16af2f17bb · inbound

Enhancing LLM Training via Spectral Clipping cites this paper.

Enhancing LLM Training via Spectral Clipping Interactive Segment Anything NeRF with Feature Imitation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-14T21:24:21.859563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T21:24:21.859563Z digest=sha256:70f5565782f04a5521e6efaa1c511ce943242045fa2cfc8c9867669d5a683ac7