Paper Citation Record · LEDGER

AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2305.01836.

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

pith.paper-citation-record.v1
2305.01836 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:54:13.915275Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T11:43:15.194887Z

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 7ba9056f-8c55-42b4-a9b7-d638ef066417 · inbound

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting cites this paper.

AuralSAM2: Enabling SAM2 Hear Through Pyramid Audio-Visual Feature Prompting AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T11:17:15.519753Z

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.

Observation f83b0048-f785-4257-a227-34f848619c73 · inbound

How Would It Sound? Material-Controlled Multimodal Acoustic Profile Generation for Indoor Scenes cites this paper.

How Would It Sound? Material-Controlled Multimodal Acoustic Profile Generation for Indoor Scenes AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T04:54:13.915275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d349df38-85fc-4b50-9e05-27506d285f0c · inbound

Materialistic RIR: Material Conditioned Realistic RIR Generation cites this paper.

Materialistic RIR: Material Conditioned Realistic RIR Generation AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:51:02.875065Z

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.

Observation 75b85b38-c2e8-4a42-897b-3e8ea5c2730d · inbound

PRIMED: Adaptive Modality Suppression for Referring Audio-Visual Segmentation via Biased Competition cites this paper.

PRIMED: Adaptive Modality Suppression for Referring Audio-Visual Segmentation via Biased Competition AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T02:30:53.335244Z

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.

Observation 1f85817d-ba73-4cc2-b13b-d6441e0c19a8 · inbound

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI cites this paper.

Speech-Guided Multimodal Learning for Vocal Tract Segmentation in Real-Time MRI AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:43:15.196659Z

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.

Observation 8a061c02-1bc4-455e-9767-df5fd6890f55 · inbound

Unlocking Spatial Grounding in Large Audio-Visual Retrieval models cites this paper.

Unlocking Spatial Grounding in Large Audio-Visual Retrieval models AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T10:33:03.127024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.