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Paper Citation Record · LEDGER

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.00358.

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

pith.paper-citation-record.v1
2502.00358 v2

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 2026-08-05T14:03:19.216337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:06:21.321184Z

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 5ac2cb49-56c7-419a-97c4-702c5577b400 · inbound

Learning from Silence and Noise for Visual Sound Source Localization cites this paper.

Learning from Silence and Noise for Visual Sound Source Localization Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T14:03:19.216337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:03:19.216337Z digest=sha256:89a5f4be0159cb32d486a82351427b43cc2ddb9d315c9bdc0c008f470ae28e6c

Observation a7d7f17a-5f35-478f-9cd9-388ff19e134c · inbound

AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs cites this paper.

AVI-Bench: Toward Human-like Audio-Visual Intelligence of Omni-MLLMs Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:06:21.323631Z

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=arxiv_source observed=2026-06-28T14:36:53.295540Z digest=sha256:763063d3938003e88003929dcd77df4fc8506ed596a9e3a963d5b56e2141e314