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Paper Citation Record · LEDGER

Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2503.13068.

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

pith.paper-citation-record.v1
2503.13068 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:05.560273Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:49:54.266142Z

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 18af2022-4246-4367-be8f-081bb7661fe2 · inbound

AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs cites this paper.

AV-Reasoner: Improving and Benchmarking Clue-Grounded Audio-Visual Counting for MLLMs Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:05.560273Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:05.560273Z digest=sha256:fbcc3a6d5bacc70fb12c7bd9ae9378a86b40cc1d9c9c92beeaa1de9dd42f4955

Observation c9c349f6-6edd-46a0-bdcb-665277de79c7 · inbound

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks Crab: A Unified Audio-Visual Scene Understanding Model with Explicit Cooperation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:49:54.269852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:49:53.235638Z digest=sha256:232b3deddfedc1cbc868c44bef802180f2f5804a24ce7a293353b2c810507621