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Paper Citation Record · LEDGER

Understanding Long Videos via LLM-Powered Entity Relation Graphs

As of 11 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 2 inbound Pith citation observations for arXiv:2501.15953.

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

pith.paper-citation-record.v1
2501.15953 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:53:27.583766Z

measured 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:23:06.035263Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:19:50.408368Z

Reference resolution

73 of 73 outbound references displayed

  • verified exact5
  • verified fuzzy13
  • unresolved55
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 640f364f-c076-4546-a8cb-4d6d130cd6dc · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Gemini: A Family of Highly Capable Multimodal Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:25.613270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:25.613270Z digest=sha256:e4a5d40c208e0029d164e85117f8fe17224c588b93bf2db433468b0f07f5aab8

Observation e6c49138-a8f8-4bf6-a6ff-7c9cdcbe4e1a · outbound

This paper cites Eysenck, and Michael C.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Eysenck, and Michael C

Reference 2

Resolution
verified exact
doi, observed 2026-08-10T13:53:28.179555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.645657Z digest=sha256:da912fade371898ea1dd6956cfb1b570e83849f55f7934546cd5bcd14a7b9950

Observation 3127ddd4-dbaf-4536-95d3-79bf27828768 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.563697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.651514Z digest=sha256:4f9b0a0d8b03e4ba6f366155d84f03e869251cbb56298c840fe3eeb97a4ba1cc

Observation 2c95d65d-2a66-4685-9661-4f60708a3d5a · outbound

This paper cites Memory Consolidation Enables Long-Context Video Understanding.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Memory Consolidation Enables Long-Context Video Understanding

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:25.655542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:25.655542Z digest=sha256:8d115ce688fd7de8552e321f528daa0d815b902c15175bc88fbbcbe0bcee2db5

Observation 320e655e-e181-46b4-977e-eef8aadda1d5 · outbound

This paper cites Language models are few-shot learners.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Language models are few-shot learners

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:30.550387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.660671Z digest=sha256:0633371a6e98359919897f70e6d9d2100dc483cbc0f629675e04a73d8a82ba05

Observation 9ac6f942-8026-422e-8c42-8038f91e495a · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.535255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.665664Z digest=sha256:aa74c93be2b4b3b320cb491a2d4a5218337483f64ba0769db448fc8fe882ca62

Observation 6669b946-f188-420e-b071-7a2886d0e9d4 · outbound

This paper cites 3D-TAFS: A Training-free Framework for 3D Affordance Segmentation.

Understanding Long Videos via LLM-Powered Entity Relation Graphs 3D-TAFS: A Training-free Framework for 3D Affordance Segmentation

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:53:29.030905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.670925Z digest=sha256:87657d3b23cc137410cf017349c8168ec5acbf6b2c126f8877c0f85e258a480f

Observation 39357be8-5158-416f-aaa0-f4ee9f8594e6 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.520676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.675446Z digest=sha256:51c5e886058aae07b5084b6694444aea8d7ca03dad6932ae36354ba718322292

Observation 300844ad-d084-46ba-acef-7b8486621220 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.492518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.684872Z digest=sha256:7cf53735d2e1729e0925765854b61fa4fbb929447ca0f2c2648f0d47fac0825c

Observation 466fe527-7f49-46ec-8303-56ecc7ed1684 · outbound

This paper cites The Llama 3 Herd of Models.

Understanding Long Videos via LLM-Powered Entity Relation Graphs The Llama 3 Herd of Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:25.689501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:25.689501Z digest=sha256:b3ca3664c69205c00ef529fd521e8946a22eeadf236d768e39bd37b13c0134cb

Observation 29324fd6-77ff-4f66-a885-f6da3f28266e · outbound

This paper cites AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn.

Understanding Long Videos via LLM-Powered Entity Relation Graphs AssistGPT: A General Multi-modal Assistant that can Plan, Execute, Inspect, and Learn

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:25.707276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:25.707276Z digest=sha256:3e49f878467eeabaab1c11e7a8fc99a86d6bfcab67efe6e7654f837aecc31f85

Observation 128877d1-dd0c-4924-9291-a0934fa0621e · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.478820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.776143Z digest=sha256:fc98c870c7bf1ef98a9e523afc93c0286e76e0fb4c3f0fc53da3736b259937ac

Observation 02f23a97-a5b5-4beb-be29-13b012a7d234 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.458048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.805356Z digest=sha256:185a2b098b88038455a249c2ae279d9c2abe901c8da0cbfdde6a7ced0d2be04c

Observation 8fbc003e-c6c0-492d-8cc0-1ab06e779850 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.436922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.809721Z digest=sha256:6e2ef6229a05c895ab5a8afca46e69580e099cde384dbdde71621514ae0af478

Observation e3a231bf-3301-4d8b-8cf8-17a3d3f36a9e · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.410874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.820222Z digest=sha256:b1fd9f25bfccf525bcc45a13ac215bf5074cb5d36766b298fd36ea8b360840eb

Observation 2b634d23-b458-4b82-8568-515271a50d10 · outbound

This paper cites 2020.spaCy: Industrial-strength Natural Language Processing in Python.

Understanding Long Videos via LLM-Powered Entity Relation Graphs 2020.spaCy: Industrial-strength Natural Language Processing in Python

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:30.273686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.827402Z digest=sha256:a126218d4b2ef9038f2cda8c5c6c1bb7f8a83d2bfb4c37bde1150aa04aa73e6e

Observation 9cbce404-ed24-4d88-ace7-294d6fb274ba · outbound

This paper cites VideoGraph: Recognizing Minutes-Long Human Activities in Videos.

Understanding Long Videos via LLM-Powered Entity Relation Graphs VideoGraph: Recognizing Minutes-Long Human Activities in Videos

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:25.832166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:25.832166Z digest=sha256:832f34d81008da5c6cc90da0be77ca5fe435c318b43a137d3796f4632d1647e6

Observation 215ca760-78a8-4d62-9c2a-aa7f7637f153 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 18

Resolution
verified exact
doi, observed 2026-08-10T13:53:27.952472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.851284Z digest=sha256:ffa9c9a1829b8f1b2088008dd2aa75276e9c1f5ecfda8c72783f271dea5ae7dd

Observation cd6f2d5e-37f8-4e56-bec3-802474644d49 · outbound

This paper cites Mixtral of Experts.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Mixtral of Experts

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:25.929319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:25.929319Z digest=sha256:847516400dc784fe4bd2d598651cfbbcec085e7870a9837f5c9ac5838f43407a

Observation ee612375-e69e-4e98-9083-1b6d6ddf90a0 · outbound

This paper cites Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.001124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.001124Z digest=sha256:5173ebb6b48bcd297e14f058c173491060710794e1b147747e40527c1f0c53b2

Observation 6189cbb0-815e-4909-97eb-d6afa1e3a613 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.169790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.015648Z digest=sha256:94f807d5562cec2ed84246c00743d484c402b139a44bc0772b7b09078d74bc6f

Observation cf22dd37-c93c-48e2-b764-1e3c51ee1797 · outbound

This paper cites Semi-Parametric Video-Grounded Text Generation.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Semi-Parametric Video-Grounded Text Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.037466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.037466Z digest=sha256:90df4c65c4fab8f31da97d5d090d3fbb34878d6bf6b3417748da8cbb3364ee42

Observation 0009b40c-e752-4051-837c-6193c9e11912 · outbound

This paper cites VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks.

Understanding Long Videos via LLM-Powered Entity Relation Graphs VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.042016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.042016Z digest=sha256:d71ea8ef0dafbb22aa8682dd42febb98c8c4ef9906de7bc64ff60649acf337c7

Observation 7edf763c-3bd1-4d39-96d4-6e1f06330c06 · outbound

This paper cites Text-Conditioned Resampler For Long Form Video Understanding.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Text-Conditioned Resampler For Long Form Video Understanding

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-10T13:53:28.894062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.047053Z digest=sha256:e27e41a26b52e549622075d67bca67f62b1125e318ef77063a6a5da6286b0f70

Observation e89fe509-c781-4998-9668-7b08b56263da · outbound

This paper cites Berg, Mohit Bansal, and Jingjing Liu.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Berg, Mohit Bansal, and Jingjing Liu

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:30.049607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.087430Z digest=sha256:a21062cf36ce2c881d5d61921861f1f3fb7835356f6530964926c914c86d9343

Observation 7813284f-12ab-4ccb-bca4-624e0e947a5e · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

Understanding Long Videos via LLM-Powered Entity Relation Graphs VideoChat: Chat-Centric Video Understanding

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.184775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.184775Z digest=sha256:d445178da745dce4e1e6498ef05c919c2c7277788edcd48795216a201abd8fd2

Observation f98e9771-1811-4dc9-a3d6-016a8914e6db · outbound

This paper cites VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents.

Understanding Long Videos via LLM-Powered Entity Relation Graphs VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.277715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.277715Z digest=sha256:97a9f7bc96ec08d6179c066e804290f93797fd5d886fe27f2de1e2048cc407f7

Observation 2373e4e5-7639-4aa4-acc5-bce61185cd65 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.034548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.307554Z digest=sha256:aaf45344270bd7f58675d318259a6fc227acc1dfbb427f2ed3297918b058885b

Observation 4cd0e71e-d7f4-463c-9cf8-367b6a4b343c · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.020031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.332395Z digest=sha256:4a738372685afe54cb1810f5ebc5c9ad616918890dc60beab2fcc4035ba022a1

Observation 5c6263a1-edbb-45e9-b4b3-9e49ca116f28 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:30.006980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.341898Z digest=sha256:292f0452195f776e3dc308051d0f7c610372ab1d264a84551f14d69d8a9663bc

Observation 44c4d684-28ca-4b83-a6f6-74e24c1a254d · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.979805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.440410Z digest=sha256:27a335520011844c8327b3e184103901badc8d98fdaff92179af9e7f0e46c57d

Observation eba3d0f1-bfc7-4c76-965b-5111059b5823 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.966957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.551880Z digest=sha256:eb515784c53d4226da6e9be995c6c8b6ac1a421293f9376892fa7ae058b2dbdd

Observation c3145615-526b-489d-b89f-9ad523008533 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.948032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.563690Z digest=sha256:7231f0ce612758038042f85fe692352297c04376209eae2dc1fa92f66395ff04

Observation 13626071-c269-4ddf-bdce-b15ad131ab9b · outbound

This paper cites GPT-4 Technical Report.

Understanding Long Videos via LLM-Powered Entity Relation Graphs GPT-4 Technical Report

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.602192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.602192Z digest=sha256:9af69eb52892a6f8594002add0764ad1468cba7ec7f041571fbf38169209e205

Observation 5036c1f5-70d2-4649-bbe2-216257593506 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.992500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.345883Z digest=sha256:c3fc25a09a81f8b0b167873236d08b0863a3747f72810996b66a704768e14614

Observation c27f1958-de19-4b44-893b-4c3f244f8c2d · outbound

This paper cites A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames.

Understanding Long Videos via LLM-Powered Entity Relation Graphs A Simple Recipe for Contrastively Pre-training Video-First Encoders Beyond 16 Frames

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.614221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.614221Z digest=sha256:def9e392684941f2c67bfe491664016ab69bd65c51f646c69b650ff2b62b525e

Observation 422a1e60-49a8-4d15-8747-b425cf8210c9 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.905539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.618853Z digest=sha256:517904730a8625384e018bd6ed9de539ad8069820ff37c842d4b977678bc2140

Observation 65ff43dd-adc6-4f62-9703-dfed2c2c452f · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.807433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.623240Z digest=sha256:e8f207c4409f9835152b3bd36da738da9289eb2d62b6ccfaa2eb68500caab5e8

Observation 224d9117-2ec9-43b6-9cb5-ef7b87aee715 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Understanding Long Videos via LLM-Powered Entity Relation Graphs EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.632827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.632827Z digest=sha256:71a9dc212b3176fb837f1f4b9f2dd51fdc63cb1ceca789bf02203376db2ec896

Observation c79bf13f-eb34-48c3-9cf6-332d8513a3c0 · outbound

This paper cites 2021.Neuralscenegraphsfordynamicscenes.In ProceedingsoftheIEEE/CVF Conference on Computer Vision and Pattern Recognition.

Understanding Long Videos via LLM-Powered Entity Relation Graphs 2021.Neuralscenegraphsfordynamicscenes.In ProceedingsoftheIEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:29.922737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.609765Z digest=sha256:13813ac8b961cdc17ce69872e042b4b6c34519da31b295a779f4e7060284523c

Observation 26e2478d-6f19-4c56-b19e-7dbcec9b800f · outbound

This paper cites Long-formvideo-languagepre-trainingwithmultimodal temporal contrastive learning.Advances in neural information processing systems35 (2022), 38032–38045.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Long-formvideo-languagepre-trainingwithmultimodal temporal contrastive learning.Advances in neural information processing systems35 (2022), 38032–38045

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:29.575963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.730099Z digest=sha256:c050fe9c095f764f106ae40f82fcf07f3a16a148b4f98a6a1782e8f7af4c602f

Observation 82e660f7-298f-4498-bae6-4363df9c7a70 · outbound

This paper cites ViperGPT:VisualInfer- ence via Python Execution for Reasoning.Proceedings of IEEE International Conference on Computer Vision (ICCV)(2023).

Understanding Long Videos via LLM-Powered Entity Relation Graphs ViperGPT:VisualInfer- ence via Python Execution for Reasoning.Proceedings of IEEE International Conference on Computer Vision (ICCV)(2023)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:29.490359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.797411Z digest=sha256:b20b3d4492064d7365700dcdd05e824e45bb64fb7f840f90a778556f2694d33a

Observation de0e4ded-b903-46e6-86fa-ec42b0fc7f87 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.823762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.823762Z digest=sha256:1819d4504b32dfd2269b49605a877d48fab2220569b33b366f261fcc43bf6e56

Observation d8777168-88a3-4f98-a6f9-1b09a6e975ed · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 44

Resolution
verified exact
doi, observed 2026-08-10T13:53:27.783255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.904761Z digest=sha256:b1c458dd71e60a4c7a1e2a99a114f35daf4c4bb783860e7f1012d0d55af641b3

Observation de1d043e-85d8-4354-b83f-31a41d3d6ceb · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.477061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.995735Z digest=sha256:a5f1ccfd8e3f24d6de0f3a1ea177a19e9c96edf9522b4af86b8886714b6523dd

Observation 6c137259-cc76-4756-84a7-bcbf761cb4c4 · outbound

This paper cites EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters.

Understanding Long Videos via LLM-Powered Entity Relation Graphs EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.637867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.637867Z digest=sha256:c1ea63ee29132adff14c2932efc38f408f82c753b79e361593242796f80f841c

Observation 6ead0cae-eefb-4090-bfb7-abaf41a42baa · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

Understanding Long Videos via LLM-Powered Entity Relation Graphs InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.070979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.070979Z digest=sha256:5965c8ca4fec59e20bfdcdf0b0e829a38931258235d8db55cad16bacd10d69bf

Observation 10ffbb1a-b09e-443d-a5fb-fa813c57cb19 · outbound

This paper cites LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos.

Understanding Long Videos via LLM-Powered Entity Relation Graphs LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.082257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.082257Z digest=sha256:2ec7821565d3f3efb6b4b69d433b885e84d68aeae7322781087b03a6df153838

Observation 422e099c-08e2-4eb1-a256-d1397d64637c · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.463115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.087149Z digest=sha256:a67bd374155d7799c6c0bd171bcf64635fffc0ff70cd87f3b367ee9e30d7ba0c

Observation 4285f38f-c875-45f2-beee-554c10f27dc5 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.435136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.095912Z digest=sha256:50fac411491b7a18f77133a97ecbdc1ca6ff7a27f65a81a750ef69f80043ebe4

Observation ef29ed8c-759b-42f0-8df7-5f558cbdac9e · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.100295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.100295Z digest=sha256:d702357c008bd3027dd4daad9fb251162abc689efddc3307bd9accbed5d22655

Observation 23536dde-920d-49fc-a051-497b37fb9464 · outbound

This paper cites SupervoxelAttentionGraphsforLong-Range Video Modeling.

Understanding Long Videos via LLM-Powered Entity Relation Graphs SupervoxelAttentionGraphsforLong-Range Video Modeling

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.054986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.054986Z digest=sha256:10edb9a0117e2ca039a820feae029d6cec125f57a7c7fc118812ab1e2b50c267

Observation 88979a82-fc07-4de1-8a2a-7ad425ac1623 · outbound

This paper cites Contrastive VideoQuestionAnsweringviaVideoGraphTransformer.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Contrastive VideoQuestionAnsweringviaVideoGraphTransformer

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:29.244489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.109107Z digest=sha256:bbf78b04c63a14d99b87ebaff8c8a3b0fb27d7c6286eca95c43b5b44b7d176b1

Observation 230b071f-781f-4083-8216-b31807153408 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.113594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.113594Z digest=sha256:35d3bda7e5ce11164368b9becd0c63020ac4bacc2889c67a7af2178e3ef86481

Observation 4be26044-3c1c-4104-a87b-21968e099667 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.179754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.130688Z digest=sha256:40d335222f151dfea3ea4953b307d47421afb46dc148fe34ee291314d9974594

Observation ef77d406-c10d-4f68-9b55-2f7fc6b526cb · outbound

This paper cites InEuropean Conference on Computer Vision.

Understanding Long Videos via LLM-Powered Entity Relation Graphs InEuropean Conference on Computer Vision

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:29.449412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.091503Z digest=sha256:051418c1cf1082071b5ed79e1590358796fcb553afc240d14c2df40be29b7289

Observation 905bd51d-feab-415f-b90e-0dceebb5d569 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.136774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.377351Z digest=sha256:69d17548e3ab017b987f7d959b6a7eb3805582cea198662dfe689e90351810e7

Observation 49c55f0b-8847-4cda-b056-7ee138c2cdc1 · outbound

This paper cites What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets.

Understanding Long Videos via LLM-Powered Entity Relation Graphs What Gives the Answer Away? Question Answering Bias Analysis on Video QA Datasets

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.394918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.394918Z digest=sha256:a560c783b24889090757cefba316f9cc689f239b030294893a7960603c4bd244

Observation 5e3b4685-6f55-4505-a1a3-48a16c265c89 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.334636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.104915Z digest=sha256:1f7161bbd134d5b6aa04a4f0e0227ec16325c3ecafcc66a8aaecc90cb76e96b1

Observation 974a0545-60f5-4012-8f34-a73680b8b0b5 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.106995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.449721Z digest=sha256:36ab0f1e5dcb0dcebe7470eef40e869f6d528fe57c4ee9f6a41396df8534137a

Observation 20743c72-ae23-4d04-a4f1-2cefbdcc3e36 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.091315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.457734Z digest=sha256:1d7cfb9a7451b37f2896a80d480b4cd829e4b97c48cdc0b820691a9ac47099cb

Observation 290a944c-6b58-4710-8d28-f75bda58836f · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.076624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.462352Z digest=sha256:38f6aff1bbc9712aa1d1f11ef23085ae05effadbce055f940b728900c07da7d6

Observation 48bd4aa9-67ab-4ade-b354-45c54c23eac9 · outbound

This paper cites InProceedings of the IEEE/CVF international conference on computer vision.

Understanding Long Videos via LLM-Powered Entity Relation Graphs InProceedings of the IEEE/CVF international conference on computer vision

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:29.165531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.184683Z digest=sha256:ce9745fe8a4209d4abb60f5e42cef82be38893387ef67df3767283732e38089b

Observation 3545dd8d-3d24-4abc-aeca-f588eefb5ba9 · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.151973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.281551Z digest=sha256:8fe6b537529bff1babb280ea584d48f5e229067fc3bdd2c7f1a9ddba76d93e38

Observation e17d6756-a94b-4618-9daa-d1527357695a · outbound

This paper cites Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Flash-VStream: Memory-Based Real-Time Understanding for Long Video Streams

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.476040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.476040Z digest=sha256:a6532b81725d9199a16b987943349df5269d1bc8f78d53f31f4a0f98141e0e7e

Observation 5b63260a-18df-4295-adee-28fbaaf9c22e · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.061904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.583766Z digest=sha256:71abfaf44eba4ceda1c6300eb25b1e32bf749ee6377408402ddcb075b09173ad

Observation 2a899241-5f13-4d2c-85b6-4d7cffd0dfcc · outbound

This paper cites an unresolved cited work.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:53:29.120808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:27.440666Z digest=sha256:9029d76ac7dfb3354687b6cd221934bc90cc42a4f3d4824e0ec0aa76749df5e9

Observation bd39f4d2-65c3-45ea-a8ca-545b572d313c · outbound

This paper cites A Simple LLM Framework for Long-Range Video Question-Answering.

Understanding Long Videos via LLM-Powered Entity Relation Graphs A Simple LLM Framework for Long-Range Video Question-Answering

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:27.471264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:27.471264Z digest=sha256:c13d26197d7b5e2fcc73fc9be2f36a64ec2884e19f75ff9760e2dae1a96dd749

Observation 285fce16-8799-4fed-88f3-e8aa0438cde6 · outbound

This paper cites InProceedings of the 28th ACM International Conference on Multimedia.

Understanding Long Videos via LLM-Powered Entity Relation Graphs InProceedings of the 28th ACM International Conference on Multimedia

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:30.064857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.032353Z digest=sha256:0a0417a9c7f3613b1424e51d47d7d1c34be1f6d6ddc18cc32053060a0c0ddc7a

Observation 057e6505-f3fd-4054-98a6-5acfea757b10 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Understanding Long Videos via LLM-Powered Entity Relation Graphs In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:30.424333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.814974Z digest=sha256:aece7ebce44f91bc0db9c4b91d264e482b1e46fc32bfafa8112e490a59913834

Observation dc9704bb-eb89-4c0f-986c-d7a75ab2bbec · outbound

This paper cites Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens.

Understanding Long Videos via LLM-Powered Entity Relation Graphs Vista-LLaMA: Reducing Hallucination in Video Language Models via Equal Distance to Visual Tokens

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-10T13:53:26.337203Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:53:26.337203Z digest=sha256:a707d15c9c43ff01ac0dfb5e96295de4314032c3cf175c3f50d601d11b86472b

Observation e98c36c5-db03-4a6b-a269-3c4b5580cbc7 · outbound

This paper cites 18221–18232.

Understanding Long Videos via LLM-Powered Entity Relation Graphs 18221–18232

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:29.689978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:26.628315Z digest=sha256:cd86ae87aa77614f4b8c0e77bb6e8a316ddf8b68b022afcecef9bcbb3cbc782b

Observation 97e0d930-6f8e-4805-928e-c790a5d82061 · outbound

This paper cites InEuropean Conference on Computer Vision.

Understanding Long Videos via LLM-Powered Entity Relation Graphs InEuropean Conference on Computer Vision

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:53:30.506053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:53:25.680180Z digest=sha256:bdf82730ff7bf6c8a4267258917542bc531457606439d9e233913eac8384bb4a

Pith citing papers

Observation 4f9a78ba-d8c6-4ab0-a9d3-6df2df5d1d56 · inbound

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems cites this paper.

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems Understanding Long Videos via LLM-Powered Entity Relation Graphs

Reference 296

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:10.761885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Confidence-Aware Tool Orchestration for Robust Video Understanding cites this paper.

Confidence-Aware Tool Orchestration for Robust Video Understanding Understanding Long Videos via LLM-Powered Entity Relation Graphs

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