Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2305.01836.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:41:21.191451Z
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 67284828-7971-4c1a-8ef9-99019276bfa3 · inbound
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation cites this paper.
INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:41:21.191451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e6e0b2f-196d-471b-8e61-9aa5d2eea53b · inbound
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? cites this paper.
Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:20.394989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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.