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Paper Citation Record · LEDGER

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.00867.

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

pith.paper-citation-record.v1
2607.00867 v3

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T09:17:20.585749Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

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  • unresolved18
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b2eb096-a4a6-454a-9a89-162a48a64938 · outbound

This paper cites arXiv preprint arXiv:2512.22315.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection arXiv preprint arXiv:2512.22315

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:17:20.543774Z digest=sha256:a2d76aee26e8362d8123bf1dd0c36d4630443c0bf527e8564bfb91c89274e9f4

Observation 16ba4161-da79-4b33-a995-72a69267d47d · outbound

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

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 4

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source=pdf_text observed=2026-08-02T09:17:20.546688Z digest=sha256:062c4a7fdf3fa8ca0633c0b37a609145c6ff399023820a7dea432ef0e6223f12

Observation f704073d-3c4e-4b54-8fc9-4a3843aa86e1 · outbound

This paper cites Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 5

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source=pdf_text observed=2026-08-02T09:17:20.550240Z digest=sha256:1afe2d850def6965a49154613f3f1be50e18919df4748cc2164f0e50fc25bc48

Observation 3d6ddcfa-8949-4219-bcc9-7db125894016 · outbound

This paper cites Peng Jin, Jinfa Ryu, Yuan Huang, Bin Lin, and 1 others.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Peng Jin, Jinfa Ryu, Yuan Huang, Bin Lin, and 1 others

Reference 6

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source=pdf_text observed=2026-08-02T09:17:20.553197Z digest=sha256:f73b59896816762fc96dbbcd446e11cff0fa60f8357dda8315818a44e5cbfb3e

Observation 28aa8a9c-dd8f-43fe-92bc-6cffd1ffcd17 · outbound

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

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection LLaVA-OneVision: Easy Visual Task Transfer

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:17:20.559211Z digest=sha256:1242d0095ade8e20cc1cd6a097ec1855ac74cee45201ca321541b4d9108c1e41

Observation f31da8e7-c1cc-4d07-b2fb-d46b9b6c6ee8 · outbound

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

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 10

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no resolver link, observed 2026-08-02T09:17:20.564288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:17:20.564288Z digest=sha256:7ba3fea9a612890af1a15365a7a031cf3daa77bdd748c21bf931a6673288d80d

Observation 66d9599d-a935-4146-8499-6ec150eea4e5 · outbound

This paper cites TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding

Reference 11

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source=pdf_text observed=2026-08-02T09:17:20.566842Z digest=sha256:7e22d19e099cf14b7ee0cb5cd5283047674b41c318cf5097b95c58cbdb9d4236

Observation 0843d77b-7031-4c79-9c0f-725a0a38c07b · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 12

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source=pdf_text observed=2026-08-02T09:17:20.569529Z digest=sha256:7dcdb2fe42bc88f8b9fd2c7718d3f7a4fe270e9b591762d5aa09276851486e5b

Observation b9a6b450-b810-4ca2-9fe6-07625edae2ba · outbound

This paper cites Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Enhancing Video-LLM Reasoning via Agent-of-Thoughts Distillation

Reference 13

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source=pdf_text observed=2026-08-02T09:17:20.572219Z digest=sha256:aca38942cf6b4c73dcd970cce333bf06d749837d3b2edeffa5b454164814729f

Observation 9d2825c2-a603-43f1-b7db-49ac1f769f87 · outbound

This paper cites Qwen3 Technical Report.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Qwen3 Technical Report

Reference 14

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source=pdf_text observed=2026-08-02T09:17:20.574790Z digest=sha256:43757c8b8fbd520d7d5031d0bfe51769d7d2efa050a0436219b0c291e33e13d6

Observation 6de5743c-281c-447c-9d2d-e8b6ddf43e93 · outbound

This paper cites thinking with videos.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection thinking with videos

Reference 15

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source=pdf_text observed=2026-08-02T09:17:20.577428Z digest=sha256:65d076152370844d6345348f0728a90bcc880722ada713473e4b06a090a7ea30

Observation 58b91602-6fc8-424f-a71e-b6fe58998e8a · outbound

This paper cites LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection LongVideoBench: A Benchmark for Long-context Interleaved Video-Language Understanding

Reference 16

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source=pdf_text observed=2026-08-02T09:17:20.580137Z digest=sha256:6932f4eae2d3fc5d1707d1fc05bf46cbb40e92d67bbd02da8e538e0262f019e3

Observation 44d82397-828d-4507-91a3-dd56f3cb842a · outbound

This paper cites Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:17:20.583170Z digest=sha256:2e3d58d2dbbebbb9b92d2e212b4aca2e2aaefde30b73cbc4647fd2dc9060bdf3

Observation 41ba027a-2781-4444-9a53-89fb205355d6 · outbound

This paper cites InInternational Conference on Learning Representations.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection InInternational Conference on Learning Representations

Reference 18

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source=pdf_text observed=2026-08-02T09:17:20.585749Z digest=sha256:7f468dc452e8aceae457efe88d287b9581eb7e1311e6147e9b4e01a3323fece0

Observation 9d517c64-2dc3-45cd-b0fb-993feec28c5c · outbound

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

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding

Reference 2023

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source=pdf_text observed=2026-08-02T09:17:20.556107Z digest=sha256:013f77c19e593b7293b4fa8c6794dae19328e3b83e40e3006080fe5459af408c

Observation df43f777-192b-4c77-8a21-16155985acb3 · outbound

This paper cites DeepSeek-V3 Technical Report.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection DeepSeek-V3 Technical Report

Reference 2024

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no resolver link, observed 2026-08-02T09:17:20.540520Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T09:17:20.540520Z digest=sha256:813f1150ad084a4c8ddf785a6574da3b35ef34b5d2cd9068688112adcbe80458

Observation 2412de57-12de-49c4-9cd4-78431b3bf4d7 · outbound

This paper cites Qwen2.5-VL Technical Report.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Qwen2.5-VL Technical Report

Reference 2025

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source=pdf_text observed=2026-08-02T09:17:20.536090Z digest=sha256:684782780a8f521147696cac4a7dc2cfbcb682f136125bce16fbe32b1c7fc80d

Observation 3b4c5655-1e23-497d-ac8f-f69fd35904c1 · outbound

This paper cites Muhammad Maaz, Hanoona Rasheed, Salman Khan, and Fahad Shahbaz Khan.

EFlow: Learning Evidence Flow for Long-Video Reasoning with Adaptive Reflection Muhammad Maaz, Hanoona Rasheed, Salman Khan, and Fahad Shahbaz Khan

Reference 2026

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source=pdf_text observed=2026-08-02T09:17:20.561868Z digest=sha256:c78362098bae157e149119bb71f410dfca17b4db120776d1c20be25be58ec930

Pith citing papers

No inbound Pith citation observations are available.