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Paper Citation Record · LEDGER

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding

As of 23 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2608.04587.

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

pith.paper-citation-record.v1
2608.04587 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:28:40.527544Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

34 of 34 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 41643fe5-1ec1-4e37-a05c-32f8e3a2ce4e · outbound

This paper cites Claude code.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Claude code

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:49.142112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:36.114059Z digest=sha256:8d5781a4056f59c98607d347849a716daaafa9ab323d8e3a2c966daef1e95aa4

Observation 295ecae5-ed8b-44af-8672-500206bc3780 · outbound

This paper cites Cg-bench: Clue-grounded question answering benchmark for long video understanding, 2024.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Cg-bench: Clue-grounded question answering benchmark for long video understanding, 2024

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:48.842564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:36.190927Z digest=sha256:20cfb37e47c4b3484ba17883e15ab32e448491c36ef4b204682b3e864d80bd27

Observation 4f29ecf3-a921-40a8-ac42-1bb7623f27c4 · outbound

This paper cites GraphVideoAgent: Enhancing long-form video understanding with entity relation graphs.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding GraphVideoAgent: Enhancing long-form video understanding with entity relation graphs

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:48.535373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:36.366711Z digest=sha256:6b7b3a4e50bc2839508e0ac3b91fbf6407d75b5076f324e63b6a4b65d5fb76e9

Observation e2559b31-d232-4135-9f5b-fc7e8f4c6fab · outbound

This paper cites TC- Pad’e: Trajectory-consistent Pad’e approximation for diffusion acceleration, 2026.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding TC- Pad’e: Trajectory-consistent Pad’e approximation for diffusion acceleration, 2026

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:48.296765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:36.509438Z digest=sha256:8a47a63c5bbd696daad8d1027b967e7d4f3dd675b36c8397421270307b25c847

Observation 0db988a4-d994-4f68-bc09-3ed797a2a308 · outbound

This paper cites Diffusion probe: Generated image result prediction using CNN probes, 2026.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Diffusion probe: Generated image result prediction using CNN probes, 2026

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:47.953498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:36.658141Z digest=sha256:1fb9f863c6c16fcc69aa2fb4ee0e4893b172bc5c15c1617d509589017fe69a86

Observation 6fe23ce1-b231-4d07-abbf-5c41b701f574 · outbound

This paper cites simpleposter: a simple base- line for product poster generation, 2026.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding simpleposter: a simple base- line for product poster generation, 2026

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:47.714457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:36.783049Z digest=sha256:4fcbf903922c20666011950e686ac37f868ab1bd8ac5745d3ddc19377a7d5d9b

Observation 8f228e6e-fa31-42e6-bbd5-5e6520c0623f · outbound

This paper cites Video-mme: The first-ever comprehensive evalu- ation benchmark of multi-modal llms in video analysis,.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Video-mme: The first-ever comprehensive evalu- ation benchmark of multi-modal llms in video analysis,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:47.402941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:36.929383Z digest=sha256:ce88808e9e706a89deac11c83f460dc301ad8006ef5d3aeeda01d2517a211372

Observation 470f7be9-83f6-4a80-b26c-022769ea8866 · outbound

This paper cites Automated design of agentic systems.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Automated design of agentic systems

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:47.117642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.049295Z digest=sha256:c5774d0cc118845e64158ae0682ba7e99ec06e8378e57a15e50d37c4fc0630fe

Observation 626697cb-1653-4617-9de4-0d7476e26cb4 · outbound

This paper cites RAMS-Trans: Recurrent attention multi-scale transformer for fine- grained image recognition.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding RAMS-Trans: Recurrent attention multi-scale transformer for fine- grained image recognition

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:46.859573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.173589Z digest=sha256:125e2d7ed18a6c1199e0a9ac4c594813068c0cf28810afa0d1ca8e53b4854c34

Observation cc9734c7-8ac5-42cc-a1f6-9edf4c1ab772 · outbound

This paper cites Perceive- to-reason: Decoupling perception and reasoning for fine-grained visual reasoning, 2026.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Perceive- to-reason: Decoupling perception and reasoning for fine-grained visual reasoning, 2026

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:46.621522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.366276Z digest=sha256:600b9d17161720e3660d4d4b5ba577b6430da45a30117658802a4582348b63cc

Observation 24315fb7-dd62-4b44-9a9c-a8dea9e0faaf · outbound

This paper cites Lenswalk: Agentic video understanding by planning how you see in videos,.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Lenswalk: Agentic video understanding by planning how you see in videos,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:46.344911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.519822Z digest=sha256:0a95a2f52c7d8f2afeb216e53f680cc28596a2bfdb367f317895a214916616de

Observation a5cdda10-7e85-42ee-b12b-e36e956f2cfe · outbound

This paper cites Videoseek: Long-horizon video agent with tool-guided seeking, 2026.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Videoseek: Long-horizon video agent with tool-guided seeking, 2026

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:46.078779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.611766Z digest=sha256:1685146d19a61732831ddaa4896f6abf15d77fbd898f37c53a4b9149ea7cc1ab

Observation d0ffa3d8-7619-46e2-92d4-5fa776602baa · outbound

This paper cites an unresolved cited work.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:28:45.837805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.728874Z digest=sha256:ae431853e4b3e8f9b608dedcca7d01e68e05a35c43848a774749fef19666f1d4

Observation 05b1ffe5-928f-4f5e-9da8-785ca434e1ca · outbound

This paper cites VideoMind: A chain-of-LoRA agent for temporal-grounded video reasoning.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding VideoMind: A chain-of-LoRA agent for temporal-grounded video reasoning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:45.576169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.840677Z digest=sha256:da6720316ed2cd97eb7235f07a10f5afe1e0cd33f6ed03c7c60ca38702d5eac6

Observation 47fb6933-2e63-4e77-9aa8-a2ffd20ff1fb · outbound

This paper cites Seeing, listen- ing, remembering, and reasoning: A multimodal agent with long-term memory.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Seeing, listen- ing, remembering, and reasoning: A multimodal agent with long-term memory

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:45.343957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:37.945615Z digest=sha256:8986cdaec5f7e7cb0c4c8e804ddc21ee1cc4648cc0c88c719a3e4042e58002bf

Observation 2bb09e34-8aaa-47c7-9bcf-18cba6f85243 · outbound

This paper cites Openai codex.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Openai codex

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:45.098262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:38.082147Z digest=sha256:8612435562681f078e36883e20c1a60b2b9846ad28e3899faf9b0001e5a93bad

Observation c731efaf-d051-4e86-a67c-622478843faf · outbound

This paper cites Yuvion VL: A multimodal foundation model for adversarial content and AI safety, 2026.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Yuvion VL: A multimodal foundation model for adversarial content and AI safety, 2026

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:44.891333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:38.225025Z digest=sha256:2b823d32f7c1339662529c02b2c8e933773268ec0ac80b881eb76646f4a835a8

Observation e54f05ca-f5ff-4ad1-a3b1-fb7a607cba77 · outbound

This paper cites Attentive eraser: Unleashing diffusion model’s object removal potential via self-attention redirection guidance, 2025.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Attentive eraser: Unleashing diffusion model’s object removal potential via self-attention redirection guidance, 2025

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:44.690832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:38.334858Z digest=sha256:ad55517ddb513ccddd565228cf3e50db4c903b6627b517e19c0c683d5ba06982

Observation 97d7f9e7-081d-43f2-b00b-31d6e496ceaa · outbound

This paper cites Open- vocabulary object detection with an open corpus.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Open- vocabulary object detection with an open corpus

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:44.503280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:38.498419Z digest=sha256:bc3c4129e553e8a7b917acac4e99caaf6305bfbc24c06668535c44d260f6d639

Observation f32688bb-e9ac-4add-94ee-30ae749a32ec · outbound

This paper cites Videoagent: Long-form video understand- ing with large language model as agent, 2024.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Videoagent: Long-form video understand- ing with large language model as agent, 2024

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:44.301950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:38.647413Z digest=sha256:95c070848c3c3f60c2a899bb3c391dd60f50319ca0f49d364299712a4ee83b2a

Observation 096b2fbf-0619-43a3-8e2e-5eb776462f7d · outbound

This paper cites VideoTree: Adaptive tree-based video repre- sentation for LLM reasoning on long videos.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding VideoTree: Adaptive tree-based video repre- sentation for LLM reasoning on long videos

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:44.076853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:38.779462Z digest=sha256:8f202d5aac3c296fef91e94a19c02b45c89ba8b3f4af5411bee90f23f0fadeca

Observation 3b62c6d3-9f7f-469d-8965-709de4b9248f · outbound

This paper cites Longvideobench: A benchmark for long-context inter- leaved video-language understanding, 2024.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Longvideobench: A benchmark for long-context inter- leaved video-language understanding, 2024

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:43.886113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:38.905576Z digest=sha256:ebe7ca45f5c23defe99cba26d25d8580e64f656728030fab74c546a316e2dcf8

Observation 5a4a108e-5c1e-49cc-9ad8-0b4b5c3b020b · outbound

This paper cites Seeing but not thinking: Routing distraction in multimodal mixture- of-experts.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Seeing but not thinking: Routing distraction in multimodal mixture- of-experts

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:43.662507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:39.051759Z digest=sha256:c3859fa7cdc6f13d1a36dc356a4d723e16c9d643738aae26988c3f04e2a42682

Observation 0a80c223-8136-4b4e-a038-0f7b5ddc348d · outbound

This paper cites Symphony: A cognitively-inspired multi-agent system for long-video understanding.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Symphony: A cognitively-inspired multi-agent system for long-video understanding

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:43.479191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:39.169014Z digest=sha256:497ea28098d81c1fcb481419f911f050f1a68a0c43d6d31703312113d28203bd

Observation b82e5979-21f9-45db-ac6b-316f4496fa41 · outbound

This paper cites Worldmm: Dynamic multimodal memory agent for long video reasoning, 2025.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Worldmm: Dynamic multimodal memory agent for long video reasoning, 2025

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:43.250821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:39.318229Z digest=sha256:7070783dccaae65c05eea69e6091b7d8a590e79c54bc119f3b257738abc5eed4

Observation 075b0a05-67bf-434d-850d-a3f0fa98ce1e · outbound

This paper cites Hierarchical long video understanding with audiovisual entity cohesion and agentic search, 2026.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Hierarchical long video understanding with audiovisual entity cohesion and agentic search, 2026

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:42.992854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:39.477574Z digest=sha256:9ee133fab47ee6189098db88883a5a47b57face30f698cd08027ba68fcf0aa7c

Observation 7f201548-0994-4196-b0db-b1fd030131b9 · outbound

This paper cites Videoarm: Agentic rea- soning over hierarchical memory for long-form video understanding, 2025.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Videoarm: Agentic rea- soning over hierarchical memory for long-form video understanding, 2025

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:42.729710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:39.651654Z digest=sha256:19f45eadabfe2fceff4933b21ce36bdb4efcd504b266d695568365d1f2b4c631

Observation a6844819-2ef1-4ee8-bdc4-a3768443b5c1 · outbound

This paper cites EvoAgent: Towards au- tomatic multi-agent generation via evolutionary algo- rithms.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding EvoAgent: Towards au- tomatic multi-agent generation via evolutionary algo- rithms

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:42.423932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:39.773510Z digest=sha256:779f3fea25c4eb613267afb7b28e7ff89d40eb67f45f3233c6855a610ee9d2ea

Observation f8accfb5-0636-4ba8-88ef-56198da83f32 · outbound

This paper cites AFlow: Automating agentic workflow generation.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding AFlow: Automating agentic workflow generation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:42.143696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:39.889785Z digest=sha256:8ddb7ed7eea730579528c735027e6a34a4c5f809dfa00be9fd1c306e602d2a57

Observation 51e81c20-d3cd-4541-a8ae-40783b6e811e · outbound

This paper cites OmAgent: A multi-modal agent framework for complex video understanding with task divide-and-conquer.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding OmAgent: A multi-modal agent framework for complex video understanding with task divide-and-conquer

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:41.868710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:40.012914Z digest=sha256:45d2167b2c2476a9af8c05174203ad5a20183e00e191b29941ceb8efc6efcb2b

Observation bfd64926-ce66-4c2e-8d47-79e447d5f5ec · outbound

This paper cites Deep video discov- ery: Agentic search with tool use for long-form video understanding.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Deep video discov- ery: Agentic search with tool use for long-form video understanding

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:41.603928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:40.130193Z digest=sha256:d1a90d046202e05bd4aadfbeafbc178cd037469e79e983b0be5c5ea052cd1dcd

Observation f669e676-66b0-40d6-b4b7-89d87a7f0ab8 · outbound

This paper cites Deep video discov- ery: Agentic search with tool use for long-form video understanding, 2025.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Deep video discov- ery: Agentic search with tool use for long-form video understanding, 2025

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:41.370951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:40.269165Z digest=sha256:a1647c197a3c0da62a2d6e22fc56caea7cc426f62b1d45a00470ec1e42f9ddf6

Observation 1924b7ce-049d-4840-a9ca-b02633f8f3dc · outbound

This paper cites Mlvu: Benchmarking multi-task long video understanding,.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding Mlvu: Benchmarking multi-task long video understanding,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:41.059931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:40.368522Z digest=sha256:aee14378daa977d0a620bd5d9be9fcff881ed8d88092cb79efcbba7324417b3c

Observation 20973239-7458-4e6b-975b-86282cfae730 · outbound

This paper cites In fact, the earlier shape was this kind of whisk.

MetaVideoAgent: Automated Video-Agent Evolution for Long-Form Video Understanding In fact, the earlier shape was this kind of whisk

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:28:40.758096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T21:28:40.527544Z digest=sha256:3bf712e90b339f52ac5a8e0672f242f965e5f76bf29239108782bf7569325758

Pith citing papers

No inbound Pith citation observations are available.