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Paper Citation Record · LEDGER

TransNet V2: An effective deep network architecture for fast shot transition detection

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2008.04838.

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

pith.paper-citation-record.v1
2008.04838 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 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 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T22:19:56.697211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:29:36.931995Z

Reference resolution

0 of 0 outbound references displayed

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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 fe2c8e8a-b8a9-42d5-bc3e-50beb37ef41d · inbound

HunyuanVideo: A Systematic Framework For Large Video Generative Models cites this paper.

HunyuanVideo: A Systematic Framework For Large Video Generative Models TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 76

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metadata mismatch
arxiv_id, observed 2026-05-23T07:42:43.518678Z

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.

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Observation 07b54995-1317-4778-b404-0850b4df0e43 · inbound

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video cites this paper.

Faster than real-time detection of shot boundaries, sampling structure and dynamic keyframes in video TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 4

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no resolver link, observed 2026-08-07T22:19:56.697211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 69fae045-4a00-44bf-924d-a303fd350908 · inbound

SkyReels-V2: Infinite-length Film Generative Model cites this paper.

SkyReels-V2: Infinite-length Film Generative Model TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 60

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arxiv_id, observed 2026-05-14T20:23:04.095658Z

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.

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Observation 6cd5d85d-b83a-4509-8cbc-15c47c3a9567 · inbound

DualTalk: Dual-Speaker Interaction for 3D Talking Head Conversations cites this paper.

DualTalk: Dual-Speaker Interaction for 3D Talking Head Conversations TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 39

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no resolver link, observed 2026-08-07T14:39:11.450440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:11.450440Z digest=sha256:4be61840b72214bd6193d0e761c170401e45798eac9dd4c29c2c2c09d2afc9cb

Observation c4f3c9e2-4780-40cb-8f64-d88f0a172427 · inbound

Leveraging Large Language Models for Information Verification -- an Engineering Approach cites this paper.

Leveraging Large Language Models for Information Verification -- an Engineering Approach TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 2

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unresolved
no resolver link, observed 2026-08-06T23:26:32.944892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:32.944892Z digest=sha256:aaffc95b9ad8ae68c37a910f5b3d9c95d2843191076ad579881d9c22efa85513

Observation 504e0a5d-bbdc-46a6-9602-16acb08fd1e5 · inbound

Comparing Learning Paradigms for Egocentric Video Summarization cites this paper.

Comparing Learning Paradigms for Egocentric Video Summarization TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 10

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unresolved
no resolver link, observed 2026-08-06T22:23:42.246470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 597bed7b-9f75-4b28-901b-49765695321f · inbound

SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization cites this paper.

SoccerHigh: A Benchmark Dataset for Automatic Soccer Video Summarization TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 47

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unresolved
no resolver link, observed 2026-08-05T12:34:41.395687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:34:41.395687Z digest=sha256:79ba4748fb9caa827195e03093391f5e6e91f1d20de8fcfb89164944a764c326

Observation 50377891-6d65-451c-bd1b-8ab4b770a7f9 · inbound

Lifting Unlabeled Internet-level Data for 3D Scene Understanding cites this paper.

Lifting Unlabeled Internet-level Data for 3D Scene Understanding TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 99

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metadata mismatch
arxiv_id, observed 2026-05-13T22:18:21.023754Z

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.

source=pdf_text observed=2026-05-13T22:16:57.890955Z digest=sha256:bf5c534beedb2cd6d15198218b7abf0d90579bda30fbc6c087b1f6888530570b

Observation 97bc5b1e-5b2c-4440-85f4-7fe81c23db6b · inbound

LPM 1.0: Video-based Character Performance Model cites this paper.

LPM 1.0: Video-based Character Performance Model TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 44

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verified exact
arxiv_id, observed 2026-05-11T07:30:59.795648Z

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.

source=pdf_text observed=2026-05-10T17:09:17.360697Z digest=sha256:9ebf877ebceab217e943aaeb6cd49609dba5a7f23e33ca55fd334f7894710a64

Observation 9613b16b-9499-41fd-86f0-af2df6c0a727 · inbound

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics cites this paper.

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 51

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verified exact
arxiv_id, observed 2026-05-12T10:56:32.167123Z

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.

source=pdf_text observed=2026-05-08T01:23:27.990472Z digest=sha256:b9bc5f839011b242b087fef7a209b917bac1f0cbd9041558ac1b56e0e8e3c2d0

Observation 8bc570ce-54dc-4cd6-9cfb-339a0a39239c · inbound

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics cites this paper.

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 51

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verified exact
arxiv_id, observed 2026-05-09T06:05:34.488228Z

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.

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Observation 699b504e-358d-4e96-8369-b6fd834fd97e · inbound

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics cites this paper.

AniMatrix: An Anime Video Generation Model that Thinks in Art, Not Physics TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 51

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verified exact
arxiv_id, observed 2026-05-12T07:11:24.272585Z

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.

source=pdf_text observed=2026-05-12T03:39:47.335022Z digest=sha256:ca6d387debd25855e92531b10237d71fb937b4bcaa8a1e380effeb4cee8b880e

Observation 42e1cdc7-e8f0-454d-b175-68df240d3c9c · inbound

MERVIN: A Unified Framework for Multimodal Event Retrieval in Vietnamese News Videos cites this paper.

MERVIN: A Unified Framework for Multimodal Event Retrieval in Vietnamese News Videos TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 14

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verified exact
arxiv_id, observed 2026-05-19T21:52:48.213249Z

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.

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Observation b379f77a-d0c5-492d-ba47-8720a83b0173 · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 54

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verified exact
arxiv_id, observed 2026-05-20T05:18:03.066467Z

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.

source=pdf_text observed=2026-05-20T05:17:11.690484Z digest=sha256:12fcd95f8dc7d5a0e8a50cda3b8f350c33abe7495ff193e324e03b14f9ccb1c6

Observation c7e224ab-51cd-4045-93fd-879cbdf319d2 · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 54

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verified exact
arxiv_id, observed 2026-06-30T18:04:58.064900Z

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.

source=pdf_text observed=2026-06-30T18:00:39.556424Z digest=sha256:a287fa3a54a79e9b475f9209b1dad308ed3130d98a9624b540614ed0b2dbc0f2

Observation 3a61aeb4-1a61-470d-91fb-106faabecbc2 · inbound

U-CESE: Unified Clip-based Event Search Engine for AI Challenge HCMC 2025 cites this paper.

U-CESE: Unified Clip-based Event Search Engine for AI Challenge HCMC 2025 TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 22

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verified exact
arxiv_id, observed 2026-05-25T04:35:21.525078Z

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.

source=pdf_text observed=2026-05-25T04:32:00.705039Z digest=sha256:9241e4637ba1b771a7006926d1b2e6aaf1dd7810279abbb8a0b730d99a0c4544

Observation 73c0f837-14a9-40fd-995e-b5d72a304157 · inbound

MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model cites this paper.

MaineCoon: Pursuing A Real-Time Audio-Visual Social World Model TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 43

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metadata mismatch
arxiv_id, observed 2026-07-03T20:48:55.750550Z

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.

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Observation fa4d55f7-1953-44c1-968c-9f2ffa5e6d96 · inbound

UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating cites this paper.

UnityShots: Memory-Driven Multi-Shot Audio-Video Generation with Boundary-Aware Gating TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 36

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metadata mismatch
arxiv_id, observed 2026-07-04T06:29:36.933814Z

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.

source=pdf_text observed=2026-06-26T14:30:48.687642Z digest=sha256:26cb7f5c55110d0f0a8c14d42692cef074ee915e07125e126ddbe639669469bb

Observation ff2cc73d-c97f-45f0-8ccf-cd4082357726 · inbound

Sparse Evidence Can Suffice: Agentic Evidence Seeking for Multimodal Video Misinformation Detection cites this paper.

Sparse Evidence Can Suffice: Agentic Evidence Seeking for Multimodal Video Misinformation Detection TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 31

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unresolved
no resolver link, observed 2026-08-01T16:16:47.982180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:16:47.982180Z digest=sha256:c93fa050d8d3652cb510a7ccae92a0089284d549b9a18f52b115a19e70673c82

Observation 640c4dcc-79f7-46cf-b6cf-7c238bbc1559 · inbound

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation cites this paper.

SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 33

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no resolver link, observed 2026-08-01T07:09:08.081225Z

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Unavailable: canonical work link unavailable.

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Observation e46d4e7c-a0bd-4e56-890c-e35c1c7c8cb4 · inbound

Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation cites this paper.

Visko Orbis 1.0: A Live Model for Real-Time Interactive Long Video Generation TransNet V2: An effective deep network architecture for fast shot transition detection

Reference 32

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unresolved
no resolver link, observed 2026-07-30T23:47:57.773407Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T23:47:57.773407Z digest=sha256:48dcf576243466b06cb5b3ab8ca43d4fe54af9623802ec8393956935c68f4584