Paper Citation Record · LEDGER

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos

As of 9 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2505.20124.

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

pith.paper-citation-record.v1
2505.20124 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:06.244486Z

measured 73 of 73 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:40.649758Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T13:46:04.353404Z

Reference resolution

71 of 71 outbound references displayed

verified exact2
verified fuzzy0
unresolved69
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a2e78cdb-1c50-4de0-aa61-8865a41e9cfc · outbound

This paper cites Understanding Alignment in Multimodal LLMs: A Comprehensive Study.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Understanding Alignment in Multimodal LLMs: A Comprehensive Study

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.199626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41705b25-296a-4005-860d-dce17fb10c5c · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.246252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f397b61a-8a5f-4a43-ae33-1993211da792 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:09.003643Z

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.

Observation df306f69-2a36-4e3e-8c23-a42c8f1ee57e · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.442683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e16319-d3dc-4d02-8a36-8145025e4d50 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.520698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0068b704-aecd-46cc-a8c5-175b3944aa05 · outbound

This paper cites TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.572640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 286408a4-2bf5-439d-b8c2-c1f170a644df · outbound

This paper cites AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.661583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3aa7095-d028-4925-91ae-e2e3f847ba48 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.743322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07fa147-f2c7-48ef-9f80-c9173bc1072a · outbound

This paper cites ShareGPT4Video: Improving Video Understanding and Generation with Better Captions.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos ShareGPT4Video: Improving Video Understanding and Generation with Better Captions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.821440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da4f4b77-7c28-4072-a886-c665760fd6c7 · outbound

This paper cites How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:02:59.956644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4626b8e1-9e19-4dcb-8b8b-52c89701e126 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.079127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4861b3d-5a97-4ec7-9860-a77518a71238 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.159794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0efa1912-aefd-4af8-9142-d311875dbf8b · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.270242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a19f9c5e-082f-42f2-8df3-e98e009b5aea · outbound

This paper cites Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.394498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81cb9156-82e7-46a4-b478-d22e37d2b0f9 · outbound

This paper cites MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.523964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee1ebd9e-a9c9-45ae-ae6a-38cd48861805 · outbound

This paper cites Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.563577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88da6a61-1098-458e-aae6-1b954ffffd3a · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos LLaVA-OneVision: Easy Visual Task Transfer

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.612315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3edf5a-335a-46e3-8640-4596701da0cc · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:08.868288Z

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.

Observation 2c500152-2066-4fa1-bda7-fbb376034dcc · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.801599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f28c05f-7e0f-4e68-a8ed-f7965d2fda89 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:00.902430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9f4d8f5-6009-45e4-a19e-944027a23dcf · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:08.753423Z

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.

Observation fc66876d-c16b-4d4b-977f-7b397612597f · outbound

This paper cites VideoVista: A Versatile Benchmark for Video Understanding and Reasoning.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos VideoVista: A Versatile Benchmark for Video Understanding and Reasoning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:01.131871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef150987-a2c5-45e0-a3d5-702b85fe7a7c · outbound

This paper cites Video-LLaVA: Learning United Visual Representation by Alignment Before Projection.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Video-LLaVA: Learning United Visual Representation by Alignment Before Projection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:01.247504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdc38e7b-2f62-4df1-90fe-f9e2af9676f2 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:08.613580Z

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.

Observation 939917f6-b643-4797-8579-7fd096dd09fa · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:01.472952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaf1a766-f09c-4e41-81bb-9f2a1980feff · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:01.537050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 823e7951-5281-48db-96cf-5fbfa37e4a81 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:01.649741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c314bb-4e5b-4358-8610-210596f6fd2f · outbound

This paper cites Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:01.765688Z

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Observation 2708f173-e9f6-4777-bc34-1c8c981b00c6 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:08.460404Z

Source-reported events for the cited work

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Observation b0da131c-681c-43d1-b8fb-429e428d7ddc · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 30

Resolution: verified exact; doi, observed 2026-08-07T14:03:06.407763Z

Source-reported events for the cited work

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Observation f6b2953b-07dd-4141-9b12-7b53440de8a4 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:08.331787Z

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.

Observation 1a75c005-db20-4cb0-81a9-836b5db1d00b · outbound

This paper cites TempCompass: Do Video LLMs Really Understand Videos?.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos TempCompass: Do Video LLMs Really Understand Videos?

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:02.241996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814615de-d147-4635-acdd-43e0022c6a84 · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:02.338167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f82032cd-ba4f-40fb-82a5-c206f06c27c6 · outbound

This paper cites Foundation Models for Video Understanding: A Survey.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Foundation Models for Video Understanding: A Survey

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:02.474751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64c62bc4-45ba-466d-b1f0-16217a8a3487 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6045837f-b5fc-435c-b5bc-db17e642bb90 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:08.181720Z

Source-reported events for the cited work

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Observation f193fbcd-8a53-448d-81b8-fe09f3edb86b · outbound

This paper cites Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:02.880664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d75305c-4f53-45f0-97b3-b2dc4ef734d6 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf822f8-01b4-4cdd-a64d-b01db4ae688a · outbound

This paper cites Kosmos-G: Generating Images in Context with Multimodal Large Language Models.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Kosmos-G: Generating Images in Context with Multimodal Large Language Models

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45cc3515-caa7-461f-ac3c-8ce2ac862378 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20e9437e-6383-4d8d-8bdf-f9ce4e318449 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 41

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Source-reported events for the cited work

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Observation e206d0a8-c434-41f9-9fbf-de7113a64fd3 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 42

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Source-reported events for the cited work

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Observation 009a03e2-e055-4955-b7cd-101054a0af00 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation 402c1531-b64c-435c-ad8c-4374b7d67849 · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Movie Gen: A Cast of Media Foundation Models

Reference 44

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Source-reported events for the cited work

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Observation df2f6b77-c048-4a91-bd1f-0b4b0a405676 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 796d7a1c-a07c-4139-af8b-cce63c3964a0 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos VELOCITI: Benchmarking Video-Language Compositional Reasoning with Strict Entailment

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:03.688658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebbce05a-4324-48b2-8795-b111606f7354 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e562b6aa-ddbf-4d8b-8895-fcd721069b93 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos VidGen-1M: A Large-Scale Dataset for Text-to-video Generation

Reference 48

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e2641c-295d-4f6c-9362-3a01008ddd38 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 49

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Source-reported events for the cited work

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Observation 08356e42-bbe9-408a-9ed4-959675dd8a05 · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 50

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Tarsier: Recipes for Training and Evaluating Large Video Description Models

Reference 51

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8123c0de-d03b-4fec-919f-b86d2ec5268c · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 52

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Source-reported events for the cited work

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Observation 2f1cbbcd-3dc2-45c9-9f81-db94517fd77b · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:03:07.725180Z

Source-reported events for the cited work

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Observation fcfd79c1-2c4a-41f0-b40b-429b1b89195f · outbound

This paper cites an unresolved cited work.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Unresolved cited work

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265a3136-d705-4abf-b83b-6620edcb1c5b · outbound

This paper cites LVD-2M: A Long-take Video Dataset with Temporally Dense Captions.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos LVD-2M: A Long-take Video Dataset with Temporally Dense Captions

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:04.506043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7cee4432-0fb8-4c1c-a2d2-7c0a4a137b7e · outbound

This paper cites PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning.

TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos PLLaVA : Parameter-free LLaVA Extension from Images to Videos for Video Dense Captioning

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:04.655235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 57

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 58

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Data Metabolism: An Efficient Data Design Schema For Vision Language Model

Reference 59

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Reference 60

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Long Context Transfer from Language to Vision

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:05.277632Z

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Observation c4d6965b-11f5-4237-b7fc-1258b9907527 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Direct Preference Optimization of Video Large Multimodal Models from Language Model Reward

Reference 62

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Observation cb14725c-c296-4ee6-9a97-6465dacc2bbd · outbound

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Reference 63

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Reference 64

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Observation b1a20b4b-0c71-4321-a18f-87146e3c31f0 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 65

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Observation b0fcf885-c808-484a-984b-460da8e0881b · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos Multimodal Chain-of-Thought Reasoning in Language Models

Reference 66

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Observation 658e07f5-9c74-4d90-b731-0b39d9dc1f45 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos MLVU: Benchmarking Multi-task Long Video Understanding

Reference 67

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Observation 54e75afa-a7fe-4b6c-aab9-cedbd134b567 · outbound

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Reference 68

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Observation b2cca2ff-6b23-4958-abd3-54644a51dca4 · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:06.085212Z

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Observation 303c9067-77cd-49e0-9bc7-fd9427d2bd23 · outbound

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Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:06.145059Z

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Observation bb7d58e0-a630-4026-8b74-743761450c9b · outbound

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TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos write newline

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:03:06.244486Z

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Pith citing papers

Observation e0a6ae9e-06f8-4ccb-b4df-16bb641e9b7d · inbound

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval cites this paper.

Modality Curation: Building Universal Embeddings for Advanced Multimodal Information Retrieval TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos

Reference 37

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Observation 4a43f467-6b72-4538-8332-b8e9ab49a570 · inbound

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Building a Precise Video Language with Human-AI Oversight TUNA: Comprehensive Fine-grained Temporal Understanding Evaluation on Dense Dynamic Videos

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:04.355382Z

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