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Paper Citation Record · LEDGER

GigaChat Audio: Time-aware Large Audio Language Model

As of 5 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 1 inbound Pith citation observation for arXiv:2607.10387.

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

pith.paper-citation-record.v1
2607.10387 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:07:39.817307Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:07:39.817307Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f168dcb9-4262-47a4-a1f4-11ec0dcf65f5 · outbound

This paper cites an unresolved cited work.

GigaChat Audio: Time-aware Large Audio Language Model Unresolved cited work

Reference 1

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:efa9b1cfb99374dd362906cdd14de37b5ddbd33f9d6ffb94290840292120a077

Observation 33842f2d-04d1-407b-b38c-889770613c08 · outbound

This paper cites GigaChat Audio: Time-aware Large Audio Language Model.

GigaChat Audio: Time-aware Large Audio Language Model GigaChat Audio: Time-aware Large Audio Language Model

Reference 2

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:19635eaf427c18935c70877d9119f620c865237cbe7cfdf38462365fdc0b0603

Observation 0b0536fe-e30e-4ccc-a413-ea01700fdf23 · outbound

This paper cites audio tokens.

GigaChat Audio: Time-aware Large Audio Language Model audio tokens

Reference 3

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:099ea8cef7273de8d64fff5e31b1db542d6fe080b52041346f293ad741223b03

Observation 5957e482-b7cc-406f-88d5-a7ba160f0804 · outbound

This paper cites We then obtain word-level timestamps and time-aligned transcripts us- ing WhisperX; the same alignment is also used to estimate the silence ratio [9].

GigaChat Audio: Time-aware Large Audio Language Model We then obtain word-level timestamps and time-aligned transcripts us- ing WhisperX; the same alignment is also used to estimate the silence ratio [9]

Reference 4

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:953b3fece0bb322284bdc209b3dd0434d8131dbafc2fa87f42418287fc397e75

Observation 19afe744-d780-4268-9e35-1c05d1bbffed · outbound

This paper cites when was this phrase spoken?.

GigaChat Audio: Time-aware Large Audio Language Model when was this phrase spoken?

Reference 5

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:9ef52135268689f83a186cb78648994d86165918b99d49c575f7aca6f560065b

Observation 7fcfa865-2e5b-41ff-9676-d7d5ea0ddc21 · outbound

This paper cites Our results show that temporal ground- ing in long recordings remains a major bottleneck for exist- ing multimodal models, which often degrade sharply beyond a few minutes of audio.

GigaChat Audio: Time-aware Large Audio Language Model Our results show that temporal ground- ing in long recordings remains a major bottleneck for exist- ing multimodal models, which often degrade sharply beyond a few minutes of audio

Reference 6

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:1c79e54a3a04f3b0bf039ccca76a9ba667abcf078f22017666bf387d923cdce7

Observation 22d5a6be-3f2b-462a-b693-dec2037c2a68 · outbound

This paper cites All outputs were carefully reviewed, edited, and validated by the authors, who take full responsibility for the fi- nal content.

GigaChat Audio: Time-aware Large Audio Language Model All outputs were carefully reviewed, edited, and validated by the authors, who take full responsibility for the fi- nal content

Reference 7

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:5c945b94e2776fc8cf45e274cb08cf58d3657441e5570a8ada34de9a3dc1df78

Observation 67ee9c40-d3e6-4413-9091-9f65e56682f5 · outbound

This paper cites GPT-4o System Card.

GigaChat Audio: Time-aware Large Audio Language Model GPT-4o System Card

Reference 8

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:fb9b33af649465033fc8357506856fa4d144c6b7aa0437654b1941c0e77a7995

Observation 4edbcfc4-8f24-4d2f-9deb-0d23d01d9a9f · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

GigaChat Audio: Time-aware Large Audio Language Model Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 9

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:773c16f07d99af2a775aabfea3c69c5754cf6d55ee74f6ef3026c326f2d2aa1a

Observation 382579c1-70e4-4e99-9485-5309bbe4cacb · outbound

This paper cites Voxtral.

GigaChat Audio: Time-aware Large Audio Language Model Voxtral

Reference 10

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:4acacf98a3baaa135e2b8cd01df77acfcdc34e0aa6c30bdd23218450669cf195

Observation 181f658a-4ba8-4757-9d4c-c87aa2351753 · outbound

This paper cites Qwen3-Omni Technical Report.

GigaChat Audio: Time-aware Large Audio Language Model Qwen3-Omni Technical Report

Reference 11

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:6a3f9505ab5499f83d96b21b72fcae5e7c13bb5115f91553e1a7c47edbc8e061

Observation 23072848-deb8-4ca2-822c-398e9065bf9e · outbound

This paper cites Qwen2-Audio Technical Report.

GigaChat Audio: Time-aware Large Audio Language Model Qwen2-Audio Technical Report

Reference 12

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:d74c2b613ad3e4d9e47df3c015834337c9a5f9469f80913f46d8cb8a1f97b109

Observation b33910b4-a0e7-41e4-be13-d211839ecf5c · outbound

This paper cites SALMONN: Towards Generic Hearing Abilities for Large Language Models.

GigaChat Audio: Time-aware Large Audio Language Model SALMONN: Towards Generic Hearing Abilities for Large Language Models

Reference 13

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:2589f93f2bf7d4d4a30bcf65ac0a887d50cd32b07c92ee08f529bd11690ea60e

Observation 0e0ec7e5-e52a-43af-9672-b2ebe74c0948 · outbound

This paper cites VIBEVOICE-ASR technical report,.

GigaChat Audio: Time-aware Large Audio Language Model VIBEVOICE-ASR technical report,

Reference 14

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:06ade5d3bf9a9e65ef8432425125d64d6ed718dbeddb23af7810807600d53954

Observation 956adcb4-f2cb-4e1f-991c-50c6418120c3 · outbound

This paper cites MOSS Transcribe Diarize Technical Report.

GigaChat Audio: Time-aware Large Audio Language Model MOSS Transcribe Diarize Technical Report

Reference 15

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:a10bc158929a9eabddd17afbcb994b41408c90bdbe92a54bd6e64ead2872be98

Observation 0d20c44b-129d-4788-8e73-21dec973487c · outbound

This paper cites WhisperX: Time- Accurate Speech Transcription of Long-Form Audio,.

GigaChat Audio: Time-aware Large Audio Language Model WhisperX: Time- Accurate Speech Transcription of Long-Form Audio,

Reference 16

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:802928f90b0aef8b2c9c3302b0b01131d8cf9b3aa307a8731cbbc1f7a893a6b1

Observation 64470285-107b-4ffa-905e-a9d43e62a6f4 · outbound

This paper cites Text-to-audio grounding: Building correspondence between captions and sound events,.

GigaChat Audio: Time-aware Large Audio Language Model Text-to-audio grounding: Building correspondence between captions and sound events,

Reference 17

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:55f97f1057a6f81bbfc40640256869fd4845411417a3d28f3fe8a9b547ccc669

Observation bddfef2b-46c1-47e4-aa6f-8dd1f15e28a0 · outbound

This paper cites Multi-domain audio question answering toward acoustic content reasoning in the dcase 2025 challenge,.

GigaChat Audio: Time-aware Large Audio Language Model Multi-domain audio question answering toward acoustic content reasoning in the dcase 2025 challenge,

Reference 18

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:2de706cd98c755f813885326df3404cfa14e45ba72ab36c2cd2c6d8bc899895f

Observation f734a812-218c-4b59-8c57-19d28005e72b · outbound

This paper cites Listening between the frames: Bridging temporal gaps in large audio-language models,.

GigaChat Audio: Time-aware Large Audio Language Model Listening between the frames: Bridging temporal gaps in large audio-language models,

Reference 19

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:c2662eb3f2dae1e5d1ab12b4d6c6c243bb7f92a12884805ed08adaf0cb48f6bf

Observation 63f9c7df-9395-4267-ad9c-5e4646563e15 · outbound

This paper cites Language-based audio moment retrieval,.

GigaChat Audio: Time-aware Large Audio Language Model Language-based audio moment retrieval,

Reference 20

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:1c2651cc6f8f9ee69156da5c87b884c233958211290030a2988980ff5ddf75d4

Observation d4936fe5-da6b-43c1-9f01-6b0d1f8faf95 · outbound

This paper cites CASTELLA: Long audio dataset with captions and temporal boundaries,.

GigaChat Audio: Time-aware Large Audio Language Model CASTELLA: Long audio dataset with captions and temporal boundaries,

Reference 21

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:4d243253b4a50e9b71dea6fb75ced3443b3cb93e4b70b3c20223326fb8b56a04

Observation 2967d62b-6b03-4505-9015-7fb120dc3c0a · outbound

This paper cites Localizing moments in video with temporal language,.

GigaChat Audio: Time-aware Large Audio Language Model Localizing moments in video with temporal language,

Reference 22

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:6373de689c77dcffbfb918538b970a5c3f4d912335a2ec5ca556eb2b2ef76f44

Observation cd481eea-dbef-44cf-822a-b25a6070bf61 · outbound

This paper cites TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability.

GigaChat Audio: Time-aware Large Audio Language Model TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability

Reference 23

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:9309eaffa4fa5e75dc8ccf7d4b3a86ef699cbf509b5639b92c7a0788ef08df23

Observation 5fde91ef-89e5-45eb-9c5e-fe6bed15d4b4 · outbound

This paper cites Longcat- flash technical report,.

GigaChat Audio: Time-aware Large Audio Language Model Longcat- flash technical report,

Reference 24

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Observation 51d056bb-fd5f-4617-8f28-3514bbe4cb5e · outbound

This paper cites G-eval: NLG evaluation using gpt-4 with better human alignment,.

GigaChat Audio: Time-aware Large Audio Language Model G-eval: NLG evaluation using gpt-4 with better human alignment,

Reference 25

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:029f8d173dafafe2541ce126fd5266da56463d7f8322b7083672da99c30f93f2

Observation cd975aea-fda3-4cb8-b2b1-a0fdb6c440ad · outbound

This paper cites GigaChat3-10B-A1.8B,.

GigaChat Audio: Time-aware Large Audio Language Model GigaChat3-10B-A1.8B,

Reference 26

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:4de6af22458858f0d65ec58e88ade6dc5aff64b59a58b4a060947af0f5fc0cbf

Observation a71ceff2-d8d6-4a2f-bd46-c29657062437 · outbound

This paper cites FlashAttention-2: Faster attention with better parallelism and work partitioning,.

GigaChat Audio: Time-aware Large Audio Language Model FlashAttention-2: Faster attention with better parallelism and work partitioning,

Reference 27

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:1f8fa7e20701bfd0b88274bc32c4f75ba27fce37887f5aa326d9252a1480eb21

Observation 1b446f7d-8518-464d-9423-86fdcdd879f6 · outbound

This paper cites Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,.

GigaChat Audio: Time-aware Large Audio Language Model Hubert: Self-supervised speech rep- resentation learning by masked prediction of hidden units,

Reference 28

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:a8a4ccce6bc69e939904195ce1f0317ecd17d75c4d53639e7e4f88190691abf4

Observation dd718bb8-c590-4123-a3d2-88cf791bee38 · outbound

This paper cites GigaAM: Efficient Self-Supervised Learner for Speech Recognition,.

GigaChat Audio: Time-aware Large Audio Language Model GigaAM: Efficient Self-Supervised Learner for Speech Recognition,

Reference 29

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:77967f7be6663a8c4bf8720d13f7cbe2f4ff0be03462d4f2a150ee9fddac9810

Observation 95994720-37d4-4408-a38a-7a12968103e2 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

GigaChat Audio: Time-aware Large Audio Language Model Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 30

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Observation cfcd6b06-7d83-41d5-a102-c0c0ac659c87 · outbound

This paper cites Clotho: an audio cap- tioning dataset,.

GigaChat Audio: Time-aware Large Audio Language Model Clotho: an audio cap- tioning dataset,

Reference 31

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Observation 7915f50a-b080-4559-bcef-400df359bc7e · outbound

This paper cites AudioCaps: Generating captions for audios in the wild,.

GigaChat Audio: Time-aware Large Audio Language Model AudioCaps: Generating captions for audios in the wild,

Reference 32

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:8a5a6055aa0027003ccb14a1a6c89dcc3365a50770f00a9932df5d8e1c515d3b

Observation b981f732-048d-4360-9f6d-2323a0a1bf93 · outbound

This paper cites Yodas: Youtube-oriented dataset for audio and speech,.

GigaChat Audio: Time-aware Large Audio Language Model Yodas: Youtube-oriented dataset for audio and speech,

Reference 33

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:0d002766636fe6949e3a257be2fa2a879a5844c254f6f944dab31c311696f45f

Observation 5c1a9d04-01cb-4ef9-8643-d964f6798f57 · outbound

This paper cites SpeechBrain: A General-Purpose Speech Toolkit,.

GigaChat Audio: Time-aware Large Audio Language Model SpeechBrain: A General-Purpose Speech Toolkit,

Reference 34

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:a8615b79eb24e764deb74b13450ab66a820af63fb1b8d76faf6fd27487bc5a31

Observation 808dd49e-80f2-4d31-90a6-256d5f8f1a9e · outbound

This paper cites V oxlingua107: A dataset for spoken language recognition,.

GigaChat Audio: Time-aware Large Audio Language Model V oxlingua107: A dataset for spoken language recognition,

Reference 35

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:0238fbbf6cd71ad3cc015d362daf7b94bfba725afaf610044fbb18842d4c17a3

Observation d3ca7311-6920-44be-962a-65090d8088f6 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

GigaChat Audio: Time-aware Large Audio Language Model gpt-oss-120b & gpt-oss-20b Model Card

Reference 36

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:4ee40009da544b490d6fc98e2cef140028fb73086217a372b8d64192873be409

Observation 6537162a-083f-4e8b-8cf3-93cee8c186db · outbound

This paper cites A Comparative Study of Quality Evaluation Methods for Text Summarization.

GigaChat Audio: Time-aware Large Audio Language Model A Comparative Study of Quality Evaluation Methods for Text Summarization

Reference 37

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:711968fb13bc0cd62ef69498d7ae54f0e73c01321b23d0b1c04ffcde0c5c540b

Observation ed5f9441-2ec7-436e-b905-7dff63a249fd · outbound

This paper cites Summeval: Re-evaluating summarization evaluation,.

GigaChat Audio: Time-aware Large Audio Language Model Summeval: Re-evaluating summarization evaluation,

Reference 38

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source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:3aca887d025d78b5dd2fa00b621a0ed455e57fc4637e6ddcc84edd6541cc02d3

Observation f064eb1b-c133-4a0b-acaa-f5bda8e28628 · outbound

This paper cites Unleashing the killer corpus: experiences in creating the multi-everything ami meeting corpus,.

GigaChat Audio: Time-aware Large Audio Language Model Unleashing the killer corpus: experiences in creating the multi-everything ami meeting corpus,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-07-14T12:07:39.817307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:a488dbb86b8e28b30e25a8157c4b1f703fd8cf4c0bb05ec2a914ee339d2a2b3a

Pith citing papers

Observation 33842f2d-04d1-407b-b38c-889770613c08 · inbound

GigaChat Audio: Time-aware Large Audio Language Model cites this paper.

GigaChat Audio: Time-aware Large Audio Language Model GigaChat Audio: Time-aware Large Audio Language Model

Reference 2

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unresolved
no resolver link, observed 2026-07-14T12:07:39.817307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:07:39.817307Z digest=sha256:19635eaf427c18935c70877d9119f620c865237cbe7cfdf38462365fdc0b0603