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Paper Citation Record · LEDGER

LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2312.04817.

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

pith.paper-citation-record.v1
2312.04817 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:46.777607Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:48:03.110683Z

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 4ab2a01c-661f-48cf-84a2-5a7e27e45e4b · inbound

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark cites this paper.

MVBench: A Comprehensive Multi-modal Video Understanding Benchmark LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:22:35.159910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T20:22:34.954228Z digest=sha256:2ccd4057f04d45bb15f20ec01e9a2aa8b3bd4f3dac6e9d1837f4a2053d2fd7bd

Observation ae72e675-30fe-4b74-869a-5384faed57bf · inbound

LVBench: An Extreme Long Video Understanding Benchmark cites this paper.

LVBench: An Extreme Long Video Understanding Benchmark LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-19T11:55:30.142703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T11:55:30.048525Z digest=sha256:386710aa403abde7114c9fb78bf99c64ac08ad01726cd642f2b2195031fcc603

Observation 428835ff-04fc-425d-834c-bd2a36c4e492 · inbound

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling cites this paper.

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-18T04:02:43.607191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T04:02:43.261543Z digest=sha256:9f691cf21b1b37e1f77e2c41f02015902e0db3abe1b7b682c6ab6504170a0329

Observation 957433df-c785-46cb-a36e-7d1aaf9c4f52 · inbound

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling cites this paper.

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:52:20.823715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T02:52:20.643070Z digest=sha256:461dd679019ab0f9682fbb1eafdf4f0126aee7bd7f1e12a1de9cdf62be2bdad4

Observation ec5f4923-2264-490d-828d-3ffec31585c1 · inbound

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding cites this paper.

ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:46.777607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:40:46.777607Z digest=sha256:7a6829ded95ca017eb6daac63603c1f985bcc1a308451813e1d7ad12885fb3d7

Observation c50a5b54-c58a-4ec4-a0ec-576e08ced5d2 · inbound

EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? cites this paper.

EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:10.653423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:10.653423Z digest=sha256:2cae377286f83ca2f63e897a187ab9dafe92a8f43d4c4032572e8b43ef415073

Observation 21a9f31e-4cd3-4917-a883-0863f50c32fb · inbound

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding cites this paper.

Movie Facts and Fibs (MF$^2$): A Benchmark for Long Movie Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:57.022279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:57.022279Z digest=sha256:6caa0869c63b652d19cbfc4e4b51f3e418749fe17a3cbf5547da03bc04309a6d

Observation 636a398c-4161-4ff9-b1c1-fda5a06ae8a4 · inbound

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos cites this paper.

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T04:22:56.102015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:22:56.102015Z digest=sha256:1720a5918a829916a94f68c6312f71c1984d8cca68c0ca96a627bfc4287f3a32

Observation a879c858-06fc-482b-a4a0-6b52e9ec6ad2 · inbound

A Benchmark for Omni-Modal Reasoning in Long Videos cites this paper.

A Benchmark for Omni-Modal Reasoning in Long Videos LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T15:26:15.994865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:26:15.994865Z digest=sha256:dafc51d37e3a86d28f01d76699248160aa93d58e3f216d4a0c82a34c7a170a66

Observation 26c1f211-0800-428d-97b7-f0a13df8ef32 · inbound

TrajTok: Learning Trajectory Tokens enables better Video Understanding cites this paper.

TrajTok: Learning Trajectory Tokens enables better Video Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 83

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:16:31.804229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T19:11:52.694778Z digest=sha256:02c601599ad759b7c5abebc8a3d987d8903a2f440b6addcd9646784ae2a761e9

Observation 175555d1-b992-4fb6-a7d0-6e7359284945 · inbound

TrajTok: Learning Trajectory Tokens enables better Video Understanding cites this paper.

TrajTok: Learning Trajectory Tokens enables better Video Understanding LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-02T20:38:45.233510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:38:45.233510Z digest=sha256:18f0e3d0b58c64c3ce4bb1314addaef1a84e1e251ad84fdbc4771889ed24b3b1

Observation a02539c8-ea59-4b32-ab75-9be824ef1ee4 · inbound

Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark cites this paper.

Seeing the Scene Matters: Revealing Forgetting in Video Understanding Models with a Scene-Aware Long-Video Benchmark LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:04.437856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-14T22:05:07.326202Z digest=sha256:9adae3d1392e90ccbf350fc827b8ee47444d48911f55403aa9c525f6f52fef72

Observation afb64882-6174-4dee-bbc4-b2650d69ff26 · inbound

UNIVID: Unified Vision-Language Model for Video Moderation cites this paper.

UNIVID: Unified Vision-Language Model for Video Moderation LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 72

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:09.257183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T22:56:26.674841Z digest=sha256:d2647a7f60616a9520443ca4d2f149221927a3b60092c27acb2855bd29f9debd

Observation 6aca7357-35da-4e1d-bc2e-ad6192927c40 · inbound

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning cites this paper.

InternVideo3: Agentify Foundation Models with Multimodal Contextual Reasoning LvBench: A Benchmark for Long-form Video Understanding with Versatile Multi-modal Question Answering

Reference 299

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T10:48:03.112146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T09:48:27.652901Z digest=sha256:31a6fe4c6937ea69971a82fc9ae547afd39b53910913c27048d35c972f2bccfa