Paper Citation Record · LEDGER

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?

As of 10 August 2026, this Paper Citation Record lists 54 of 54 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 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:24:20.464475Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

54 of 54 outbound references displayed

verified exact6
verified fuzzy31
unresolved16
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7590ae97-f740-46c7-9be8-1ea125844558 · outbound

This paper cites Look, listen and learn.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Look, listen and learn

Reference 1

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Observation f289fa68-93f3-4d34-bcf9-ab473b252dda · outbound

This paper cites Objects that sound.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Objects that sound

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:21.098943Z

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Observation df9469b7-b5f7-4678-9a25-de7ab25123dc · outbound

This paper cites Multimodal syn- chronization in musical ensembles: Investigating audio and visual cues.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Multimodal syn- chronization in musical ensembles: Investigating audio and visual cues

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:21.088660Z

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This paper cites an unresolved cited work.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Unresolved cited work

Reference 4

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Observation 069c42ab-714b-4596-92a4-4fdb5ee3e258 · outbound

This paper cites Vggsound: A large-scale audio-visual dataset.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Vggsound: A large-scale audio-visual dataset

Reference 5

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Observation b0faeb93-dd04-482f-bb6f-8cea463edf83 · outbound

This paper cites Localizing visual sounds the hard way.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Localizing visual sounds the hard way

Reference 6

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Observation 250e5ccd-80b4-49fa-87e0-7ad5cea08e18 · outbound

This paper cites Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolu- tion, and fully connected crfs

Reference 7

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Observation 403ffee5-05a0-49ee-b7e8-5077c94e0489 · outbound

This paper cites Unraveling in- stance associations: A closer look for audio-visual segmenta- tion.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Unraveling in- stance associations: A closer look for audio-visual segmenta- tion

Reference 8

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Observation dc9b2cb6-1412-48c9-a838-bfe33c019e85 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Masked-attention mask transformer for universal image segmentation

Reference 9

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Source-reported events for the cited work

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Observation 6ad4a3f6-4f28-485a-808c-cc706cdd7143 · outbound

This paper cites Self-awareness for autonomous systems.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Self-awareness for autonomous systems

Reference 10

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Observation 78b6a000-990a-419b-a67a-47308e4220f5 · outbound

This paper cites Design of intelligent human-computer inter- action system for hard of hearing and non-disabled people.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Design of intelligent human-computer inter- action system for hard of hearing and non-disabled people

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:21.014811Z

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Observation bf269e69-6846-44f7-9c99-a8ad2ed65804 · outbound

This paper cites Avsegformer: Audio-visual segmentation with trans- former.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Avsegformer: Audio-visual segmentation with trans- former

Reference 12

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Observation 6fc51821-cfa7-497a-99d6-a60706b9127c · outbound

This paper cites Audio set: An ontology and human- labeled dataset for audio events.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Audio set: An ontology and human- labeled dataset for audio events

Reference 13

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Observation f63d4afd-c2b0-454e-94a5-27e305641c1c · outbound

This paper cites Open-Vocabulary Audio-Visual Semantic Segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Open-Vocabulary Audio-Visual Semantic Segmentation

Reference 14

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Observation 5d722fc3-def5-40ea-9c2c-83845017fc62 · outbound

This paper cites Multi-modal instruction tuned llms with fine-grained visual perception.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Multi-modal instruction tuned llms with fine-grained visual perception

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.983016Z

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Observation e19bd29a-cf44-4012-8854-4a31d3ab6e4a · outbound

This paper cites Cnn archi- tectures for large-scale audio classification.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Cnn archi- tectures for large-scale audio classification

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.971597Z

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Observation ce6648f2-77f2-4db1-bc78-df2fd710fecb · outbound

This paper cites Discriminative sounding objects localization via self-supervised audiovisual match- ing.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Discriminative sounding objects localization via self-supervised audiovisual match- ing

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.960336Z

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Observation 88c8a958-b0eb-496f-9f24-16dd9d0e50b6 · outbound

This paper cites Mix and local- ize: Localizing sound sources in mixtures.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Mix and local- ize: Localizing sound sources in mixtures

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.950095Z

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Observation 65436e9e-d69b-4047-b0cb-9ca97860d307 · outbound

This paper cites Char- acterising soundscape research in human-computer interac- tion.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Char- acterising soundscape research in human-computer interac- tion

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.941001Z

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Observation 1afa3391-9c82-4eff-b4af-bfeab31b4a5f · outbound

This paper cites A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio

Reference 20

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Observation ce65fb0d-0146-4d7f-bcbb-b6981be59b81 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Adam: A Method for Stochastic Optimization

Reference 21

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Observation c6ab8375-0aec-4086-9608-c6667db94dee · outbound

This paper cites Panoptic feature pyramid networks.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Panoptic feature pyramid networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.931140Z

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Observation 202a8954-99e9-420a-878d-3bae15edb23d · outbound

This paper cites Segment any- thing.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Segment any- thing

Reference 23

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Observation d0c00e84-ce2b-47f1-9ab0-9ab5363234cf · outbound

This paper cites Catr: Combinatorial-dependence audio-queried transformer for audio-visual video segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Catr: Combinatorial-dependence audio-queried transformer for audio-visual video segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.915529Z

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Observation ea1d684b-ae15-4ee4-9100-e6f73176d1f8 · outbound

This paper cites Qdformer: Towards ro- bust audiovisual segmentation in complex environments with quantization-based semantic decomposition.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Qdformer: Towards ro- bust audiovisual segmentation in complex environments with quantization-based semantic decomposition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.905024Z

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Observation 5e9f3fc5-d5cb-4f4c-9f29-88eaf79d2a51 · outbound

This paper cites Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Audio-aware Query-enhanced Transformer for Audio-Visual Segmentation

Reference 26

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Observation 6650e041-06a1-4230-9ba1-b5e8094d9522 · outbound

This paper cites Annotation-free audio-visual segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Annotation-free audio-visual segmentation

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.894454Z

Source-reported events for the cited work

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Observation 22b3d3ef-30b4-4719-b152-91e9622b1339 · outbound

This paper cites Decoupled Weight Decay Regularization.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Decoupled Weight Decay Regularization

Reference 28

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Observation 23c13131-eb53-4202-8298-3281ddda682d · outbound

This paper cites Deep learning for intelligent human–computer in- teraction.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Deep learning for intelligent human–computer in- teraction

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.883756Z

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Observation 8aec4654-2427-443b-8e48-7723b5de656a · outbound

This paper cites Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Stepping Stones: A Progressive Training Strategy for Audio-Visual Semantic Segmentation

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:24:20.600464Z

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Observation e1f277c6-4b03-44bb-b872-4c440f75739e · outbound

This paper cites T-vsl: Text-guided visual sound source localization in mixtures.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? T-vsl: Text-guided visual sound source localization in mixtures

Reference 31

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Observation 5a4d91c5-2570-482e-a667-a3d74f5351d0 · outbound

This paper cites A closer look at weakly- supervised audio-visual source localization.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? A closer look at weakly- supervised audio-visual source localization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.863671Z

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Observation 5e6e0b2f-196d-471b-8e61-9aa5d2eea53b · outbound

This paper cites AV-SAM: Segment Anything Model Meets Audio-Visual Localization and Segmentation.

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

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Observation 70a85fd3-07f4-43e8-8e23-f392a5eeadad · outbound

This paper cites Multi-scale Multi-instance Visual Sound Localization and Segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Multi-scale Multi-instance Visual Sound Localization and Segmentation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T19:24:20.398584Z

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Observation 59d920ce-cba4-45de-93d0-df03dcf96615 · outbound

This paper cites Balanced multimodal learning via on-the-fly gradient modulation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Balanced multimodal learning via on-the-fly gradient modulation

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.850493Z

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Observation 72e4aa2f-0220-42b7-9ed8-d2ad24c307f5 · outbound

This paper cites Multiple sound sources localization from coarse to fine.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Multiple sound sources localization from coarse to fine

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.837026Z

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This paper cites Imagenet large scale visual recognition challenge.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Imagenet large scale visual recognition challenge

Reference 37

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Observation 6242c99e-24e2-457f-b4df-af9dc4d793a9 · outbound

This paper cites Acoustic self-awareness of autonomous sys- tems in a world of sounds.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Acoustic self-awareness of autonomous sys- tems in a world of sounds

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.808735Z

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Observation 7c6af101-8642-46d1-96d2-f8c22e40c9d9 · outbound

This paper cites Learning to localize sound source in visual scenes.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Learning to localize sound source in visual scenes

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.796559Z

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This paper cites Odor/taste integration and the perception of flavor.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Odor/taste integration and the perception of flavor

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.783592Z

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This paper cites Unveiling and Mitigating Bias in Audio Visual Segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Unveiling and Mitigating Bias in Audio Visual Segmentation

Reference 41

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Observation c664f050-f538-472c-a8fd-9484947e3cea · outbound

This paper cites Unified mul- tisensory perception: Weakly-supervised audio-visual video parsing.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Unified mul- tisensory perception: Weakly-supervised audio-visual video parsing

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.770675Z

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Observation 6011ac71-824c-45f6-a37b-5b3ddd781939 · outbound

This paper cites Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust

Reference 43

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This paper cites AudioBench: A Universal Benchmark for Audio Large Language Models.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? AudioBench: A Universal Benchmark for Audio Large Language Models

Reference 44

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This paper cites What makes train- ing multi-modal classification networks hard? In Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition, pages 12695–12705, 2020.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? What makes train- ing multi-modal classification networks hard? In Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition, pages 12695–12705, 2020

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.757431Z

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This paper cites Pvt v2: Improved baselines with pyramid vision transformer.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Pvt v2: Improved baselines with pyramid vision transformer

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.745520Z

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Observation 8a03ae3e-458a-4034-9434-c9856878e4ac · outbound

This paper cites Prompting segmentation with sound is gen- eralizable audio-visual source localizer.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Prompting segmentation with sound is gen- eralizable audio-visual source localizer

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.733937Z

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Observation bd44ef52-0ab8-49ce-8156-768eb8918bc1 · outbound

This paper cites Can Textual Semantics Mitigate Sounding Object Segmentation Preference?.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Can Textual Semantics Mitigate Sounding Object Segmentation Preference?

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:24:20.529588Z

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Observation fc4dd78f-a199-4c1d-8114-ca097ae91fe3 · outbound

This paper cites Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Ref-AVS: Refer and Segment Objects in Audio-Visual Scenes

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-09T19:24:20.513951Z

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Observation 5f904dfc-2706-4170-9a55-646f8d6fc03e · outbound

This paper cites MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? MMPareto: Boosting Multimodal Learning with Innocent Unimodal Assistance

Reference 50

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Source-reported events for the cited work

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Observation 9f9efe18-145c-4fdc-aa98-12120b0235c0 · outbound

This paper cites Analyzing audiovisual data for understanding user’s emotion in human- computer interaction environment.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Analyzing audiovisual data for understanding user’s emotion in human- computer interaction environment

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.720184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a4c5a844-0fa7-4fae-ba4a-a4ce09f3492d · outbound

This paper cites Cooperation does matter: Exploring multi-order bilateral relations for audio- visual segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Cooperation does matter: Exploring multi-order bilateral relations for audio- visual segmentation

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T19:24:20.707155Z

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Observation f416126d-e8c2-43e7-9803-d90922dd7128 · outbound

This paper cites Audio–visual segmentation.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? Audio–visual segmentation

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-09T19:24:20.461698Z

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Observation 6628f8ac-7e2f-4c0e-9575-3549b0176a7c · outbound

This paper cites 1, 2, 3, 4, 6, 7, 8, 14 Supplementary Material A.

Do Audio-Visual Segmentation Models Truly Segment Sounding Objects? 1, 2, 3, 4, 6, 7, 8, 14 Supplementary Material A

Reference 403

Resolution: malformed identifier; raw_fallback, observed 2026-08-09T19:24:20.684763Z

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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

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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

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