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Paper Citation Record · LEDGER

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models

As of 8 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2607.28896.

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

pith.paper-citation-record.v1
2607.28896 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:28:29.379249Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

46 of 46 outbound references displayed

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  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 88778da4-a844-46b7-9961-ff0e63170628 · outbound

This paper cites 2025 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2025 , url =

Reference 1

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no resolver link, observed 2026-08-03T01:28:24.327939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:24.327939Z digest=sha256:fb6be76785522f4ea5124045d5ac866dcce2fd9b3085b3334cb7549b70b44eb0

Observation 7cff9aed-c59a-4351-9a3a-34298e736675 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 2

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source=arxiv_source observed=2026-08-03T01:28:24.435044Z digest=sha256:40aa11c39af439176c4ea972de6c3c639a31749d6722ec46c29550938265f50f

Observation ec09bbea-de0a-4dc6-a1a7-02a225e0d87f · outbound

This paper cites and Liu, Jian and Kong, Qiuqiang , howpublished =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models and Liu, Jian and Kong, Qiuqiang , howpublished =

Reference 3

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source=arxiv_source observed=2026-08-03T01:28:24.585293Z digest=sha256:889a4f96b6e0039efc6c3db5abe941aafad62e04818b30b954a516bcd811ae76

Observation 862be366-3952-4943-9cc5-0bb0d0bca8fb · outbound

This paper cites Proceedings of the Fourteenth International Conference on Learning Representations (ICLR) , year =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Proceedings of the Fourteenth International Conference on Learning Representations (ICLR) , year =

Reference 4

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source=arxiv_source observed=2026-08-03T01:28:24.724542Z digest=sha256:338c987dc839e790f920fc7b69d2242fd01fd8d791a1eee0c5dc44f44b9c272b

Observation 4c0a4381-7227-466e-85e7-7985685c7279 · outbound

This paper cites and Sakshi, S.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models and Sakshi, S

Reference 5

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source=arxiv_source observed=2026-08-03T01:28:24.810855Z digest=sha256:6134b0afb99072e56a85960e5c17d015c9ca80836a70fdae618cf7bb10770bfb

Observation 316f35b7-a1a9-49c5-beab-d08d63709b8c · outbound

This paper cites 2025 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2025 , url =

Reference 6

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no resolver link, observed 2026-08-03T01:28:24.877421Z

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source=arxiv_source observed=2026-08-03T01:28:24.877421Z digest=sha256:b037fcb1a61f688b59dc8300b88ce818e6e943b54c09a1418518069dbb66d0d2

Observation aa204545-a20e-4b85-87e0-e3dcebdd62ef · outbound

This paper cites 2026 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , url =

Reference 7

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source=arxiv_source observed=2026-08-03T01:28:24.986788Z digest=sha256:be8ffa82a1121f3833e997e59cc1c2ba5f26dccc52ae88ca4b3a8dbbb782998b

Observation f17e5144-0528-477e-bd83-9f58fb59e37a · outbound

This paper cites 2026 , eprint =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , eprint =

Reference 8

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source=arxiv_source observed=2026-08-03T01:28:25.083126Z digest=sha256:0f3d2b98c0ec65b4adee7a2b695e564eb393a16497a8e6b2587d2e2e4ce0bfb7

Observation 9f6abf03-361c-4e45-a222-40ec4c6412bc · outbound

This paper cites 2026 , doi =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , doi =

Reference 9

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source=arxiv_source observed=2026-08-03T01:28:25.195905Z digest=sha256:d8ee44f4d1951a658ffdd055a737dcbaa99cb7b31b7dcd96cc7d6ea7afdca4f1

Observation 2d3f9272-4bd6-4e81-bee4-8a19a9404c4c · outbound

This paper cites 2025 , doi =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2025 , doi =

Reference 10

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source=arxiv_source observed=2026-08-03T01:28:25.301255Z digest=sha256:03cea4cfdb3107ec013f3f4cfc7dbca8adefbec2f9aeafa45fdd4aff23e5c6da

Observation 309978da-38c1-4a03-aa81-7b013dd50e5e · outbound

This paper cites SpeechEditBench: A Bilingual Multi-Attribute Benchmark for Instruction-Guided Speech Editing.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models SpeechEditBench: A Bilingual Multi-Attribute Benchmark for Instruction-Guided Speech Editing

Reference 11

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source=arxiv_source observed=2026-08-03T01:28:25.427320Z digest=sha256:21f97b1bd018c86486dd9ba4da8626257f1bcb3f51e9cf9379eaab97c3e96482

Observation 9c6b981d-ce21-4ecd-97f9-dc3f270019fa · outbound

This paper cites 2026 , eprint =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , eprint =

Reference 12

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source=arxiv_source observed=2026-08-03T01:28:25.598432Z digest=sha256:e58e865c305c8a94456c26884b8a428724b7a74395a057adb7419da1f7c2dc64

Observation 8651c4b8-4866-40c8-978b-0c6d053af17d · outbound

This paper cites 2023 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2023 , url =

Reference 13

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source=arxiv_source observed=2026-08-03T01:28:25.727829Z digest=sha256:97b5f0315e699e570b072b81fe384babcc8a4ece3877f9acebbbdc9839b0ea2b

Observation a20fc9e2-1513-4887-8969-85db31983bd4 · outbound

This paper cites Zero-Shot Unsupervised and Text-Based Audio Editing Using.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Zero-Shot Unsupervised and Text-Based Audio Editing Using

Reference 14

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source=arxiv_source observed=2026-08-03T01:28:25.920329Z digest=sha256:bb6b19b7646ef5b4354cfff9c409d48e2f60e314c8b531cea4aa7bff098200a5

Observation c1d9c534-216a-4fca-a6ef-108a9ce84b21 · outbound

This paper cites 2026 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , url =

Reference 15

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source=arxiv_source observed=2026-08-03T01:28:26.045796Z digest=sha256:4c1635ebfbd771c8e60b46c5516866ad6c50954a6803e1dec36e73d4be33b916

Observation 73f4cd26-d8a4-456d-93ba-62883fb576c2 · outbound

This paper cites 2512.17196 , archivePrefix =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2512.17196 , archivePrefix =

Reference 16

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source=arxiv_source observed=2026-08-03T01:28:26.172711Z digest=sha256:4fe806802d17d32abfaaedf03e066ebf237204e67a135adaf760c12a2defce8d

Observation 3da7c09e-3dcd-4888-9e32-830b26ec1130 · outbound

This paper cites UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models UniEval: Unified Holistic Evaluation for Unified Multimodal Understanding and Generation

Reference 17

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source=arxiv_source observed=2026-08-03T01:28:26.336885Z digest=sha256:83e5590be5fb5a116aad6e513bb778a6448fa10dfc28551dcab3a916a46bd724

Observation f9f89132-0dd5-481c-84c2-33fe0d404454 · outbound

This paper cites 2026 , eprint =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , eprint =

Reference 18

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source=arxiv_source observed=2026-08-03T01:28:26.447627Z digest=sha256:fc39c62c392004272fd15e2963c128ab7c42bd707d75f1e84a450d21fc50b3a0

Observation c309c192-0e17-438a-b33d-b389b0e2d609 · outbound

This paper cites 2601.14728 , archivePrefix =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2601.14728 , archivePrefix =

Reference 19

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source=arxiv_source observed=2026-08-03T01:28:26.604889Z digest=sha256:b514066de97f3ec9ddfb7e7f04ee049f0a42f9e516a9a729ea57c876db726a17

Observation 2ae4fc9c-4b66-4a87-bf01-972ca183a5ea · outbound

This paper cites 2026 , eprint =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , eprint =

Reference 20

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source=arxiv_source observed=2026-08-03T01:28:26.701947Z digest=sha256:82362c50a8515728444380b830669bcb629afa1767995c2dce407dae2fc83c97

Observation 9948b949-1b1f-47ad-a3e0-748ed1853cc8 · outbound

This paper cites 2602.04683 , archivePrefix =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2602.04683 , archivePrefix =

Reference 21

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source=arxiv_source observed=2026-08-03T01:28:26.758570Z digest=sha256:f19f990d97c170d56b7683fb6a64aec89b74772f1e8bdd3bd823d7d569d69610

Observation a2bdde27-4933-4392-b11a-c5defc7d08f8 · outbound

This paper cites , booktitle =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models , booktitle =

Reference 22

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source=arxiv_source observed=2026-08-03T01:28:26.840329Z digest=sha256:b50a1e9f0ecd9e9d38cbbc328b134326ddb53916656ff5bbaad91765f54629a6

Observation c20f7567-0273-4666-8949-1434ac2ef5ce · outbound

This paper cites 2026 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , url =

Reference 23

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source=arxiv_source observed=2026-08-03T01:28:26.916666Z digest=sha256:c4d8b4d6e4daad82423365eb8852f1fb0d359e4f60e35db84844c7126491ec9e

Observation 0822bf02-8c6a-4a29-9f2e-f79a8f0385ac · outbound

This paper cites 2026 , eprint =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , eprint =

Reference 24

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source=arxiv_source observed=2026-08-03T01:28:27.014391Z digest=sha256:87ad3844e4268d15405bde047f5d9f6ceae9f9d5e95eed214d6c3122adb4aad7

Observation 721cbb12-663a-4a74-a038-1e7cf8643e2b · outbound

This paper cites 2026 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , url =

Reference 25

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source=arxiv_source observed=2026-08-03T01:28:27.086532Z digest=sha256:ef4a95a1cc39770edd88822eb079900514f20e38202aa723da66e9c3ecc08702

Observation 0bc80471-b62a-40b1-9211-90d02ef844ad · outbound

This paper cites Unified-.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Unified-

Reference 26

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source=arxiv_source observed=2026-08-03T01:28:27.207762Z digest=sha256:14cffeb4932e140d0bc68472c775e5e9d22ccfd10ba005a44c213bbaff7c8546

Observation e771f43b-319a-4f93-88f7-9c5759f3c502 · outbound

This paper cites Qwen3-Omni Technical Report.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Qwen3-Omni Technical Report

Reference 27

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source=arxiv_source observed=2026-08-03T01:28:27.339215Z digest=sha256:a02beed1acd0a905dbd53852d7aeb4fd834d5fbde0034bf4e029dedf42ca930d

Observation c3879423-7c55-4dde-a4db-f3ff488ce17e · outbound

This paper cites Qwen2.5-Omni Technical Report.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Qwen2.5-Omni Technical Report

Reference 28

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no resolver link, observed 2026-08-03T01:28:27.460473Z

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source=arxiv_source observed=2026-08-03T01:28:27.460473Z digest=sha256:1325034813aa06967a1252c3781fa5dea3c1e3df9e31a3263ed9fb56205c5e5e

Observation 4bb19c6a-ee30-4b9a-9400-4353f2b0f2dd · outbound

This paper cites MuMu-LLaMA: Multi-modal Music Understanding and Generation via Large Language Models.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models MuMu-LLaMA: Multi-modal Music Understanding and Generation via Large Language Models

Reference 29

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source=arxiv_source observed=2026-08-03T01:28:27.544162Z digest=sha256:5b42d11a458bb817b8f9c50358de27896aaae5e199c9fa249e871b307a33124f

Observation 0d698e88-94b6-4a26-bc27-24e36d83ef47 · outbound

This paper cites 2026 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , url =

Reference 30

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source=arxiv_source observed=2026-08-03T01:28:27.713530Z digest=sha256:dba1a332fb8a9615db22df6e791749299c82e8a62e8ce998d79fd5cb41bc99ed

Observation 325ecd09-85bb-4b21-88f5-43c187b6d483 · outbound

This paper cites 2602.00744 , archivePrefix =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2602.00744 , archivePrefix =

Reference 31

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source=arxiv_source observed=2026-08-03T01:28:27.848944Z digest=sha256:31ffd0f324a1ae64bb93f2105719f4efd877181930b62954b8a2b06372f1ea59

Observation 37152fb8-a22d-4c0f-b544-e5e048dca679 · outbound

This paper cites ACE-Step: A Step Towards Music Generation Foundation Model.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models ACE-Step: A Step Towards Music Generation Foundation Model

Reference 32

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source=arxiv_source observed=2026-08-03T01:28:28.022775Z digest=sha256:739fbdcecdc4ba687c384252d39ce9b67a033528741d522670e366620642ed4a

Observation 4a0fb5fd-547d-4947-9d49-ce7aaa4dc1e3 · outbound

This paper cites 2511.03601 , archivePrefix =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2511.03601 , archivePrefix =

Reference 33

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source=arxiv_source observed=2026-08-03T01:28:28.086357Z digest=sha256:f94e248bc71e16184945ba2870b9fcfa152ed6526cb5a3a0202143b765c07cba

Observation 7f3e2abc-1963-4368-872c-85ea899df30e · outbound

This paper cites 2512.20339 , archivePrefix =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2512.20339 , archivePrefix =

Reference 34

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source=arxiv_source observed=2026-08-03T01:28:28.198002Z digest=sha256:d83e00c4bcfb2a3a2d55277dc7177f0c7a4993a68d4e3f75d5a292bed82f5e1c

Observation 7869e1aa-65f3-44d9-a9e3-aad1231a87ef · outbound

This paper cites 2026 , eprint =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2026 , eprint =

Reference 35

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source=arxiv_source observed=2026-08-03T01:28:28.362218Z digest=sha256:8a08959abebba7b191cac535cd2db035c9ec58b61ee4e1a1ab0fd448af75cdf3

Observation 5224c740-d89a-415b-bf4f-09937a132cec · outbound

This paper cites Proceedings of the 40th International Conference on Machine Learning , series =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Proceedings of the 40th International Conference on Machine Learning , series =

Reference 36

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source=arxiv_source observed=2026-08-03T01:28:28.539778Z digest=sha256:d1d56928ae0c30a70e3cc9a830c05e02e7f6eaa081bce231fbe57ff1292f738b

Observation 359afa2a-1e2e-4939-a3c1-bf37064233ef · outbound

This paper cites an unresolved cited work.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Unresolved cited work

Reference 37

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source=arxiv_source observed=2026-08-03T01:28:28.601700Z digest=sha256:7ed7051f2f3a222f9f5b45aca49f3837a7d52300644d9c70affa45a9c9c923e5

Observation ec0a4468-48a7-42bf-bb8a-dd21a2c0ea64 · outbound

This paper cites an unresolved cited work.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Unresolved cited work

Reference 38

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source=arxiv_source observed=2026-08-03T01:28:28.669311Z digest=sha256:447616e330d7d6f81dc374bb0cd9873b8049f4ffdfc8e808aa9b5b7649ceca9e

Observation 864e9ca7-d123-40ef-8c2d-d9b9d2e0819d · outbound

This paper cites IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , pages =

Reference 39

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unresolved
no resolver link, observed 2026-08-03T01:28:28.734545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:28.734545Z digest=sha256:14d130c747eb0932077cea34fb57ae0996a8234947bda2134678eb006ccec559

Observation 1a42a9dd-483e-4e3e-a420-a4853164a54e · outbound

This paper cites an unresolved cited work.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T01:28:28.838400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:28.838400Z digest=sha256:8e6c7761f07cbaca92f02920aa1bad6db61f75f4bea5a437a52774a50029fe41

Observation 980ab1bf-3a8e-41a6-a491-6cf8a96b54f7 · outbound

This paper cites IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , year =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T01:28:28.948117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:28.948117Z digest=sha256:3d45792b0d9cb84c74d60adaf3b601dce9d371751742d16c46858a75f18f356b

Observation fb164fcb-efac-4d03-816e-0aaafb4fb72c · outbound

This paper cites Advances in Neural Information Processing Systems 36 (NeurIPS) , year =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Advances in Neural Information Processing Systems 36 (NeurIPS) , year =

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T01:28:29.083274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:29.083274Z digest=sha256:ee282a63563a6f6ddd87bb1ec349b440186e91e80bdfa947fdd85d73e95ee145

Observation b9da4d28-4c59-4018-8741-b0f1d5ffd242 · outbound

This paper cites , booktitle =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models , booktitle =

Reference 43

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unresolved
no resolver link, observed 2026-08-03T01:28:29.132744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:29.132744Z digest=sha256:00fb7e4ecd10b4b6cd4e02aa9982f61591535bdd9af63c67a467d1e455cb0f0f

Observation 762fcc0a-3d16-4c9b-8e88-c2442c564140 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models Proceedings of the AAAI Conference on Artificial Intelligence , volume =

Reference 44

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unresolved
no resolver link, observed 2026-08-03T01:28:29.233771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:29.233771Z digest=sha256:246365942479da1e1bd17f8766573d28fd8397920b62d10e3eed8ee91f7e6e23

Observation ec60b3cd-cb93-4934-a22b-143c05695d2c · outbound

This paper cites and Zhang, Hao and Stoica, Ion , booktitle =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models and Zhang, Hao and Stoica, Ion , booktitle =

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-03T01:28:29.317101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:29.317101Z digest=sha256:d93219272438d4c55efbf40160841ef0d5ebb4f2b5f754d492bc053cf6e27a3b

Observation b5047c42-4cf9-4840-9ef4-319d2dfc972b · outbound

This paper cites 2025 , url =.

TORUS: A Test of Rendering-Understanding Self-Coherence for Unified Audio Models 2025 , url =

Reference 46

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unresolved
no resolver link, observed 2026-08-03T01:28:29.379249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:28:29.379249Z digest=sha256:65a99326932c73d6966bb2ab74960022e6f03409b5292389850472a8cd7e8bbf

Pith citing papers

No inbound Pith citation observations are available.