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Paper Citation Record · LEDGER

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding

As of 6 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2607.24794.

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

pith.paper-citation-record.v1
2607.24794 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:17:00.737308Z

measured 53 of 53 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

53 of 53 outbound references displayed

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Outbound references

Observation dd941821-f874-47fa-8758-d848d3508629 · outbound

This paper cites GPT-4 Technical Report.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding GPT-4 Technical Report

Reference 1

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Observation 3702b85a-3ff4-45cf-ad4e-31467d370a68 · outbound

This paper cites Qwen Technical Report.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Qwen Technical Report

Reference 2

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Observation 0f5e1090-2901-4d84-9afe-2204d8ac621b · outbound

This paper cites Qwen3-VL Technical Report.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Qwen3-VL Technical Report

Reference 3

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Observation 25b417d5-9d0f-41c0-86f0-6f0a8c420374 · outbound

This paper cites 5-vl technical report.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding 5-vl technical report

Reference 4

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Observation 5a34c98e-320c-4300-afb0-5367261abcf7 · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 5

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Observation e1b0a4c3-f277-44ef-ba68-be387ed96902 · outbound

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 6

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Observation dc306c73-3c39-4073-9433-30caa848ad63 · outbound

This paper cites Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos

Reference 7

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Observation 9a02c0d5-09b6-480c-a3a6-e90709dc5a4b · outbound

This paper cites Video-R1: Reinforcing Video Reasoning in MLLMs.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 8

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Observation b5f61625-4413-409f-a8c3-4683fcebf3ab · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 9

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Observation c22ef1de-d33b-49c5-906b-df1904f42806 · outbound

This paper cites Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning

Reference 10

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Observation a796e40a-ee10-4eb1-af32-b4a4795cdba3 · outbound

This paper cites Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding

Reference 11

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Observation df6da93b-70ec-4f72-858b-59ce13b20e71 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 12

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Observation 38a3a8bf-2192-4e50-b778-c683a142f001 · outbound

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 13

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Observation ae9ef788-38f6-44b3-9c96-f45ba69783af · outbound

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding LLaVA-OneVision: Easy Visual Task Transfer

Reference 14

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Observation b54f417b-8d24-4a2d-997d-4eb6621c4b3a · outbound

This paper cites arXiv preprint arXiv:2510.03584 (2025) Reasoning with Memory 17.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding arXiv preprint arXiv:2510.03584 (2025) Reasoning with Memory 17

Reference 15

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Observation 1f60e15d-e7c8-4f34-9ddd-f1df110be1dd · outbound

This paper cites Science China Information Sciences 68(10), 200102 (2025).

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Science China Information Sciences 68(10), 200102 (2025)

Reference 16

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Observation 21122611-aee7-4c28-80ad-03c6708540dd · outbound

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 17

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Observation 891a9b18-05ab-45ab-af4f-eed5eb545fd2 · outbound

This paper cites VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 18

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Observation f9b2cd4c-6aeb-48db-aeea-95f672688674 · outbound

This paper cites In: European Conference on Computer Vision.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: European Conference on Computer Vision

Reference 19

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Observation 278fde52-fa8a-4fbb-9267-5625a466fbdc · outbound

This paper cites KeyVideoLLM: Towards Large-scale Video Keyframe Selection.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding KeyVideoLLM: Towards Large-scale Video Keyframe Selection

Reference 20

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Observation f87ee396-003f-4ce2-967d-114cdb3439f3 · outbound

This paper cites In: Proceedings of the 2024 conference on empirical methods in natural language processing.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the 2024 conference on empirical methods in natural language processing

Reference 21

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Observation e23e734b-6cde-40a8-b9a1-7974ab58d4f2 · outbound

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Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Unresolved cited work

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Observation 8012af7b-d450-4efd-a6de-9b0071290a13 · outbound

This paper cites Advances in neural information processing systems36, 34892–34916 (2023).

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Advances in neural information processing systems36, 34892–34916 (2023)

Reference 23

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Observation 5a0ec5ec-d4d0-44df-871e-0fdd7b9e24ff · outbound

This paper cites In: Proceedings of the Com- puter Vision and Pattern Recognition Conference.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the Com- puter Vision and Pattern Recognition Conference

Reference 24

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This paper cites In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 25

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Observation 936f58dc-ef05-49c1-86ae-200f05c46ed4 · outbound

This paper cites In: International conference on machine learning.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: International conference on machine learning

Reference 26

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Observation a80618cb-d6d4-4db7-86bf-fac6c477f7d6 · outbound

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 27

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This paper cites LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

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This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 29

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This paper cites arXiv preprint arXiv:2602.03615 (2026) 18 L.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding arXiv preprint arXiv:2602.03615 (2026) 18 L

Reference 30

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 31

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 32

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This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 33

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 34

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 35

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This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Reference 36

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This paper cites In: European conference on computer vision.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: European conference on computer vision

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This paper cites Advances in Neural Information Pro- cessing Systems37, 28828–28857 (2024).

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Advances in Neural Information Pro- cessing Systems37, 28828–28857 (2024)

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This paper cites In: Findings of the Association for Computational Linguistics: ACL 2025.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Findings of the Association for Computational Linguistics: ACL 2025

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This paper cites Advances in Neural Information Processing Systems36, 76749–76771 (2023).

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Advances in Neural Information Processing Systems36, 76749–76771 (2023)

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This paper cites Frame-Voyager: Learning to Query Frames for Video Large Language Models.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Frame-Voyager: Learning to Query Frames for Video Large Language Models

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This paper cites VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

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This paper cites In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

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This paper cites IEEE Transactions on Infor- mation Forensics and Security (2025).

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding IEEE Transactions on Infor- mation Forensics and Security (2025)

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This paper cites IEEE Transactions on Circuits and Systems for Video Technology (2026) Reasoning with Memory 19.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding IEEE Transactions on Circuits and Systems for Video Technology (2026) Reasoning with Memory 19

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This paper cites Long Context Transfer from Language to Vision.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding Long Context Transfer from Language to Vision

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This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF International Conference on Computer Vision

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Observation aa73e4af-e569-40f7-9688-2695e30b8fe6 · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding LLaVA-Video: Video Instruction Tuning With Synthetic Data

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Observation fd526ce5-1a3b-4b14-91b0-56a7c9883c5e · outbound

This paper cites FlexSelect: Flexible Token Selection for Efficient Long Video Understanding.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding FlexSelect: Flexible Token Selection for Efficient Long Video Understanding

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Observation 280810e7-17d9-4b8f-9821-3eb32dab6f07 · outbound

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

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Observation a07ed3a8-269f-49f8-9bad-65d2a499ca02 · outbound

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

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding MLVU: Benchmarking Multi-task Long Video Understanding

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Observation 2f4cd03a-619f-41af-a88e-4c2672ad628d · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

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Observation 42bcc785-5ecd-4532-8f17-42fb56a35ea7 · outbound

This paper cites arXiv preprint arXiv:2510.27280 (2025).

Reasoning with Memory: A Temporal Granularity-Adaptive Framework for Training-Free Long Video Understanding arXiv preprint arXiv:2510.27280 (2025)

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