Pith. sign in

Paper Citation Record · LEDGER

VideoAgent: Long-form Video Understanding with Large Language Model as Agent

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2403.10517.

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

pith.paper-citation-record.v1
2403.10517 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:43:17.599746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:39:37.670946Z

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 6924df9c-13db-4996-b4db-9902ed93ab8a · inbound

MLVU: Benchmarking Multi-task Long Video Understanding cites this paper.

MLVU: Benchmarking Multi-task Long Video Understanding VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:55:26.461994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T19:55:26.333923Z digest=sha256:8ad3b6de986d6a72fbcb7013df4c714e595020fde8c32b752203afd88ed9f79d

Observation 01e938e7-3868-42ae-998d-6a3b0f3a7954 · inbound

Progress-Aware Video Frame Captioning cites this paper.

Progress-Aware Video Frame Captioning VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-11T23:55:58.560208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:55:58.560208Z digest=sha256:b0e255a6dbea881ce20c42f0d69ffd16e57112e91054931f24e76cda5f2b030f

Observation 389f5ced-991c-420c-addf-8fc75f0483c4 · inbound

Towards Long Video Understanding via Fine-detailed Video Story Generation cites this paper.

Towards Long Video Understanding via Fine-detailed Video Story Generation VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-11T19:59:13.639239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:59:13.639239Z digest=sha256:71ed673122073609bf3cef9637370839bb700ae7008a40ad2e8555f2471909da

Observation 3d6627f5-da75-4f28-999a-4b5e21dc0f04 · inbound

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding cites this paper.

V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-11T16:58:03.497961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:58:03.497961Z digest=sha256:5adfaaa25bca3c6e646bd2adc67f469570dc89915193411cd00bcd216324ee78

Observation 6f10a286-f30b-4dcf-a860-88cc3fc88c7d · inbound

Apollo: An Exploration of Video Understanding in Large Multimodal Models cites this paper.

Apollo: An Exploration of Video Understanding in Large Multimodal Models VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T16:11:10.658582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:11:10.658582Z digest=sha256:2decd25caab1a6ee503b5b48e77c04efcf8f8ca509ef246c77fd9298fb209f8d

Observation ab93c02c-3f04-47d6-b5e6-5f508bb496a5 · inbound

Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning cites this paper.

Commonsense Video Question Answering through Video-Grounded Entailment Tree Reasoning VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T21:25:38.185476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:25:38.185476Z digest=sha256:2623d7fdc0e08f6a9af91a80061ad3b56a27cb88c3d451e5f2235cec46300bf3

Observation 5206eac9-1b0d-441b-943d-4ca90021443f · inbound

FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding cites this paper.

FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T10:43:17.599746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:43:17.599746Z digest=sha256:8335ef12de5a558bce9b60ef824d1fdaf0ff9c194af96f0df5e368ced19597a9

Observation 0476b497-4fde-40c9-a26e-57d5874f56fe · inbound

ClassComet: Exploring and Designing AI-generated Danmaku in Educational Videos to Enhance Online Learning cites this paper.

ClassComet: Exploring and Designing AI-generated Danmaku in Educational Videos to Enhance Online Learning VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T10:26:44.563386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:26:44.563386Z digest=sha256:e11da6bda5bed02eccfa9824935e7fd39f9700ddf1584a316e7a4001946c87cf

Observation bce10fed-84dc-4364-9e42-6b80d4908e68 · inbound

VideoMultiAgents: A Multi-Agent Framework for Video Question Answering cites this paper.

VideoMultiAgents: A Multi-Agent Framework for Video Question Answering VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:50.607489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:50.607489Z digest=sha256:4632169b96797aacfacd19e789c6b65411769f4a044ca49bca9bd481b7934ab9

Observation d418d1fe-bf5c-4005-82bb-888a32e90f20 · inbound

Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles cites this paper.

Four Eyes Are Better Than Two: Harnessing the Collaborative Potential of Large Models via Differentiated Thinking and Complementary Ensembles VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:57:52.793038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:57:52.793038Z digest=sha256:7fbba6d957700fc15f20c17064c1423b28965d58d2eb0d96111b3bd229bd9547

Observation de31d2bc-24b0-4290-928d-141577e8d402 · inbound

HCQA-1.5 @ Ego4D EgoSchema Challenge 2025 cites this paper.

HCQA-1.5 @ Ego4D EgoSchema Challenge 2025 VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:47.085245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:47.085245Z digest=sha256:fdbfc66f23017623e53bd4adf318442405c1754bbcf9529eb5dde9d70514384f

Observation 7246b089-de6e-49b3-9bd5-6dd77cde997e · inbound

Frame-Level Captions for Long Video Generation with Complex Multi Scenes cites this paper.

Frame-Level Captions for Long Video Generation with Complex Multi Scenes VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:23.917757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:23.917757Z digest=sha256:75ea4d17e59de431a21523812516267dba0de1390ff2430cb1eb7335cc61a012

Observation c0c07cc0-f991-4305-80a8-37b2a2c996c5 · inbound

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-07T05:49:53.425309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:49:53.425309Z digest=sha256:179f842eff51e015401d4d0551b580991f64960b1b21859b82e178c9d2eb9487

Observation 6441a79e-3fa6-448a-ac90-99b4a81b0d0b · inbound

TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision cites this paper.

TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:24.446133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:24.446133Z digest=sha256:6a2937d3797dc7907c0a1f3d87a1ce8515a1100621d4901d5856c9e64171ed37

Observation 3f38c2ae-c62c-4724-9799-691f83cdf3a3 · inbound

Moment Sampling in Video LLMs for Long-Form Video QA cites this paper.

Moment Sampling in Video LLMs for Long-Form Video QA VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T19:49:13.996352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:49:13.996352Z digest=sha256:7bac2af392cff4405211cda3c83632cf08a2ba8b2973daa019404e0643a758b8

Observation 9a207b0b-a775-4415-aac5-094f9018a8c6 · inbound

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames cites this paper.

Temporal Chain of Thought: Long-Video Understanding by Thinking in Frames VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:26.782893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:26.782893Z digest=sha256:22b73e8af361dcc8860b9ab0792592d11aaf0842e6ab5edd300f7e83031d63a7

Observation b0c89a3f-5ec9-4803-ab29-2c4119d62c42 · inbound

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding cites this paper.

AuroraLong: Bringing RNNs Back to Efficient Open-Ended Video Understanding VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T20:29:55.094037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:29:55.094037Z digest=sha256:092106ac697445c6f9b233f6db76c0be466e753604238a463f3c013d45caa0ba

Observation e77ea6c7-fc4c-4ce1-9bb7-cd6e577804e5 · inbound

Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities cites this paper.

Response Wide Shut? Surprising Observations in Basic Vision Language Model Capabilities VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T18:36:01.383818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:36:01.383818Z digest=sha256:668fa9517f659ed51cfd39a6645589a7f5367c7c1707e22f24142412c1f10465

Observation 6195eb98-5b57-4afb-98cc-49ea563e4268 · inbound

NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding cites this paper.

NoteIt: A System Converting Instructional Videos to Interactable Notes Through Multimodal Video Understanding VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T18:39:34.845650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:39:34.845650Z digest=sha256:3a6cfb1ba55fd0dfe90b72f1205f721e4ee08c2062ee64284db08be508f01c75

Observation c1154590-e902-4fc2-94e3-dfcfe8eeecbe · inbound

EgoExo-Con: Exploring View-Invariant Video Temporal Understanding cites this paper.

EgoExo-Con: Exploring View-Invariant Video Temporal Understanding VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T07:23:07.036700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:23:07.036700Z digest=sha256:6013abb9103f60234d33812e98d3de9e421c5adcdde0d1c4c31e8b51ed877f5d

Observation 81dfd892-5e54-4733-8e46-4d28e297f7ed · inbound

Towards Sparse Video Understanding and Reasoning cites this paper.

Towards Sparse Video Understanding and Reasoning VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T23:33:14.576850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:33:14.576850Z digest=sha256:4c2fc331262d774e52458530ad8348837d1741c182ec6bedb3664779ba90bfd9

Observation f41f82df-f88f-4bcf-98de-0bb210df5f4f · 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 VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:04.472261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-14T22:05:07.326202Z digest=sha256:9de6376699581016497066d92a324bfa6b4ee0cad022b3a46da68fb9b04dcbb5

Observation ff412391-d975-4854-8d2f-14f05c1657cc · inbound

SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration cites this paper.

SVAgent: Storyline-Guided Long Video Understanding via Cross-Modal Multi-Agent Collaboration VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:00:49.147068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-10T20:20:08.590407Z digest=sha256:144a36a3807ff50c62b871c5e5a43c4a83cdaaffcd94cc1de3fbaf1547686481

Observation bd15e77c-f160-475d-99b8-5cb61f3dc4b4 · inbound

Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models cites this paper.

Video Active Perception: Effective Inference-Time Long-Form Video Understanding with Vision-Language Models VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:31.693563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-08T19:17:20.745425Z digest=sha256:4bd6dbd0ce6522ea82ced4992cb72532752833a3e6ba69ef27eb74651628ec8b

Observation d3ae6187-b553-4978-a25b-e0b33a43737c · inbound

Parameter-Efficient Multi-View Proficiency Estimation: From Discriminative Classification to Generative Feedback cites this paper.

Parameter-Efficient Multi-View Proficiency Estimation: From Discriminative Classification to Generative Feedback VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:16:24.292346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-07T17:44:28.109134Z digest=sha256:74b5ca7b5d0b831565663dc87cac656706ec122f0b1cfe57a8c839f59619c041

Observation f76a6309-9f2a-4bf7-b4e9-9c9b3984d5d0 · inbound

MARS: Technical Report for the CASTLE Challenge at EgoVis 2026 cites this paper.

MARS: Technical Report for the CASTLE Challenge at EgoVis 2026 VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-20T11:28:14.546702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-20T11:24:25.354475Z digest=sha256:c724c08974a1271249922f52e33618755d2f2fb0fd85e11b285b1d5ac447804e

Observation 3e3da286-8c98-4c32-9f42-4c1775aaebef · inbound

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

UNIVID: Unified Vision-Language Model for Video Moderation VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 54

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:07:09.286710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-27T22:56:26.674841Z digest=sha256:1ab92e2c54297039deebb294f52578aaa616638e3ecdb925d2e2785c26e4a02a

Observation fe7ae386-fb18-4eae-8738-9287df3bb9c2 · inbound

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning cites this paper.

HPP: Hierarchical Programmatic Probing for Long Video Understanding by Decoupling Perception and Reasoning VideoAgent: Long-form Video Understanding with Large Language Model as Agent

Reference 181

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T06:39:37.672386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-06-26T14:19:53.450263Z digest=sha256:af77d811722d45d9b5689eb29e7dbbdf1872954fce55f799ca6892c57613b1f9