Paper Citation Record · LEDGER

Latent Visual Cache for Video Reasoning

As of 6 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2607.02607.

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

pith.paper-citation-record.v1
2607.02607 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T09:09:15.248815Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T17:47:13.597841Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

60 of 60 outbound references displayed

verified exact0
verified fuzzy0
unresolved59
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3bbd38c2-e143-40bf-afa6-1957de4191dc · outbound

This paper cites A Generalist Agent.

Latent Visual Cache for Video Reasoning A Generalist Agent

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e56d3b84-e583-4396-ad0b-4e707daf6bb1 · outbound

This paper cites Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024.

Latent Visual Cache for Video Reasoning Vision language models in autonomous driving: A survey and outlook.IEEE Transactions on Intelligent Vehicles, 2024

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69fa301c-f4e0-4958-ab71-15c30a20c502 · outbound

This paper cites Vad: Vectorized scene representation for efficient autonomous driving.

Latent Visual Cache for Video Reasoning Vad: Vectorized scene representation for efficient autonomous driving

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9c9a082-004e-4b32-b35f-095feea72685 · outbound

This paper cites Video generation models as world simulators.

Latent Visual Cache for Video Reasoning Video generation models as world simulators

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33cd0623-9126-41cc-96ac-b9f1090fdcad · outbound

This paper cites Wan: Open and advanced large-scale video generative models, 2025.

Latent Visual Cache for Video Reasoning Wan: Open and advanced large-scale video generative models, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55c5adcd-9e7e-4785-8998-848a30f207f7 · outbound

This paper cites The past mistake is the future wisdom: Error-driven contrastive probability optimization for chinese spell checking.

Latent Visual Cache for Video Reasoning The past mistake is the future wisdom: Error-driven contrastive probability optimization for chinese spell checking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b9b706f-a077-49ca-8152-1b253f3b6527 · outbound

This paper cites Let’s think with images efficiently! an interleaved-modal chain-of-thought reasoning framework with dynamic and precise visual thoughts.

Latent Visual Cache for Video Reasoning Let’s think with images efficiently! an interleaved-modal chain-of-thought reasoning framework with dynamic and precise visual thoughts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ec90d7-9c7e-417a-beb3-0147665c700a · outbound

This paper cites Youtu-llm: Unlocking the native agentic potential for lightweight large language models, 2026.

Latent Visual Cache for Video Reasoning Youtu-llm: Unlocking the native agentic potential for lightweight large language models, 2026

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f86084fc-f191-4f9a-8c9f-8af9945009d7 · outbound

This paper cites Kimi-VL Technical Report.

Latent Visual Cache for Video Reasoning Kimi-VL Technical Report

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 182386d5-da9d-4b38-a0a3-b32b0c21d0ee · outbound

This paper cites Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks.

Latent Visual Cache for Video Reasoning Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609a7e00-84a1-4cac-9f6e-8560753367ed · outbound

This paper cites Openai gpt-5 system card, 2025.

Latent Visual Cache for Video Reasoning Openai gpt-5 system card, 2025

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f248c81-668c-4268-a7ca-286ff0f6de64 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Latent Visual Cache for Video Reasoning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb15ed41-eb52-4cf7-83a7-3eeb282da656 · outbound

This paper cites an unresolved cited work.

Latent Visual Cache for Video Reasoning Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6336a6b7-b930-4190-b7c5-1433443b967b · outbound

This paper cites Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding.

Latent Visual Cache for Video Reasoning Cognitive Mismatch in Multimodal Large Language Models for Discrete Symbol Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56ddba45-e26e-4da8-923f-16ebd976c2f1 · outbound

This paper cites Video-chatgpt: Towards detailed video understanding via large vision and language models.

Latent Visual Cache for Video Reasoning Video-chatgpt: Towards detailed video understanding via large vision and language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a243d13e-e109-48e7-9ced-a9e5d91bcc5a · outbound

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

Latent Visual Cache for Video Reasoning Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

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Observation b591ea9b-7666-4e83-a32c-a2b3aaa26823 · outbound

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

Latent Visual Cache for Video Reasoning VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be36d32-4b03-4d44-a5b4-61b288913e7d · outbound

This paper cites Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency, 2025.

Latent Visual Cache for Video Reasoning Internvl3.5: Advancing open-source multimodal models in versatility, reasoning, and efficiency, 2025

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cce0f75-ac71-455d-a92b-7ee08cc8cd80 · outbound

This paper cites AutoCAP: Towards automatic cross-lingual alignment planning for zero-shot chain-of-thought.

Latent Visual Cache for Video Reasoning AutoCAP: Towards automatic cross-lingual alignment planning for zero-shot chain-of-thought

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0aa1d5c1-0320-439f-81aa-10102372b1f9 · outbound

This paper cites Qwen2-vl: Enhancing vision- language model’s perception of the world at any resolution, 2024.

Latent Visual Cache for Video Reasoning Qwen2-vl: Enhancing vision- language model’s perception of the world at any resolution, 2024

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 571f510e-56ee-49d4-be9a-24ffbcd8901a · outbound

This paper cites Moviechat: From dense token to 11 sparse memory for long video understanding.

Latent Visual Cache for Video Reasoning Moviechat: From dense token to 11 sparse memory for long video understanding

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f52c87b-d21b-4ee2-9e19-93137f97795c · outbound

This paper cites Wrong-of-thought: An integrated reasoning framework with multi-perspective verification and wrong information.

Latent Visual Cache for Video Reasoning Wrong-of-thought: An integrated reasoning framework with multi-perspective verification and wrong information

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25bfd2fe-7451-4b06-96f4-2d50707e5b6a · outbound

This paper cites Qwen3-vl technical report, 2025.

Latent Visual Cache for Video Reasoning Qwen3-vl technical report, 2025

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3958ca1a-4f2a-4066-849f-719caf024697 · outbound

This paper cites Gemma 3 technical report, 2025.

Latent Visual Cache for Video Reasoning Gemma 3 technical report, 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 337f02a6-4e19-480c-9450-0f73058640a7 · outbound

This paper cites CCHall: A novel benchmark for joint cross-lingual and cross-modal hallucinations detection in large language models.

Latent Visual Cache for Video Reasoning CCHall: A novel benchmark for joint cross-lingual and cross-modal hallucinations detection in large language models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4b504f6-641d-4a0a-b1b5-d38fc1bf8f93 · outbound

This paper cites Mitigating visual forgetting via take-along visual conditioning for multi-modal long cot reasoning.

Latent Visual Cache for Video Reasoning Mitigating visual forgetting via take-along visual conditioning for multi-modal long cot reasoning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ef79481-a29b-4e86-823e-f9a9a23e6f4f · outbound

This paper cites Seeing through the chain: Mitigate hallucination in multimodal reasoning models via cot compression and contrastive preference optimization.arXiv preprint arXiv:2602.03380, 2026.

Latent Visual Cache for Video Reasoning Seeing through the chain: Mitigate hallucination in multimodal reasoning models via cot compression and contrastive preference optimization.arXiv preprint arXiv:2602.03380, 2026

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993d79d9-c14e-40eb-ab8c-d3bfc9ed7830 · outbound

This paper cites Context length alone hurts llm performance despite perfect retrieval.arXiv preprint arXiv:2510.05381, 2025.

Latent Visual Cache for Video Reasoning Context length alone hurts llm performance despite perfect retrieval.arXiv preprint arXiv:2510.05381, 2025

Reference 28

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c8c7acb-7923-4123-addc-45c73cecc36d · outbound

This paper cites Visual hallucinations of multi-modal large language models.

Latent Visual Cache for Video Reasoning Visual hallucinations of multi-modal large language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 569710b0-7a25-44f3-86f0-3fa73b97db47 · outbound

This paper cites Vigc: Visual instruction generation and correction.

Latent Visual Cache for Video Reasoning Vigc: Visual instruction generation and correction

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ac93fe6-1637-4287-a98c-47ed8dc3837b · outbound

This paper cites Hourvideo: 1-hour video- language understanding.Advances in Neural Information Processing Systems, 37:53168–53197, 2024.

Latent Visual Cache for Video Reasoning Hourvideo: 1-hour video- language understanding.Advances in Neural Information Processing Systems, 37:53168–53197, 2024

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 379a674e-ed8d-4f53-b14f-c3c70947bf0a · outbound

This paper cites Qwen3.5: Towards native multimodal agents, February 2026.

Latent Visual Cache for Video Reasoning Qwen3.5: Towards native multimodal agents, February 2026

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94fcc864-d632-488c-9bf1-ebc6a73093f7 · outbound

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

Latent Visual Cache for Video Reasoning TempCompass: Do Video LLMs Really Understand Videos?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f761258-7789-40b7-a964-ca38a7dc3464 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understanding benchmark.

Latent Visual Cache for Video Reasoning Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c2cb37-99d7-49b1-8cd2-1efa60cbe954 · outbound

This paper cites MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.

Latent Visual Cache for Video Reasoning MMVU: Measuring Expert-Level Multi-Discipline Video Understanding

Reference 35

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79b7c0e5-ac12-46d6-bdf4-d8a4afaae848 · outbound

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

Latent Visual Cache for Video Reasoning Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 36

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60c3f555-64cd-49c8-ac60-787c95fbc898 · outbound

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

Latent Visual Cache for Video Reasoning Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7a51859-3c19-437f-8d27-b043a7d6ab6a · outbound

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

Latent Visual Cache for Video Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99b40fe0-9b62-4c20-81ed-7adfafccec25 · outbound

This paper cites Open-o3-video: Grounded video reasoning with explicit spatio-temporal evidence.arXiv preprint arXiv:2510.20579, 2025.

Latent Visual Cache for Video Reasoning Open-o3-video: Grounded video reasoning with explicit spatio-temporal evidence.arXiv preprint arXiv:2510.20579, 2025

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 159025a9-c049-4390-8a1c-323bf468d698 · outbound

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

Latent Visual Cache for Video Reasoning Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d8a661-3f92-4a48-94f2-fc65384c5157 · outbound

This paper cites LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models.

Latent Visual Cache for Video Reasoning LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f6a88e-21b4-4933-a8f8-5e9fd83e794c · outbound

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

Latent Visual Cache for Video Reasoning VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a3a8b0-f12c-481e-8a7c-ad113e85c7d1 · outbound

This paper cites Long Context Transfer from Language to Vision.

Latent Visual Cache for Video Reasoning Long Context Transfer from Language to Vision

Reference 43

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71df1acf-dc5e-426b-a1f6-e2a36be71d5f · outbound

This paper cites Vila: On pre-training for visual language models.

Latent Visual Cache for Video Reasoning Vila: On pre-training for visual language models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecd8c8d3-10c9-4324-8578-0a89ae81813b · outbound

This paper cites Unhackable Temporal Rewarding for Scalable Video MLLMs.

Latent Visual Cache for Video Reasoning Unhackable Temporal Rewarding for Scalable Video MLLMs

Reference 45

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4336ba2-ee6e-4266-80e1-6c5feb0c7415 · outbound

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

Latent Visual Cache for Video Reasoning LLaVA-OneVision: Easy Visual Task Transfer

Reference 46

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01d453a6-8134-402f-ba94-496cc1c508df · outbound

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

Latent Visual Cache for Video Reasoning Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input

Reference 47

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1307fab0-b333-4ece-a3b5-91afc10ea3b1 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Latent Visual Cache for Video Reasoning Chain-of-thought prompting elicits reasoning in large language models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c582509d-ebf2-4e43-aa05-0c74b6d342ca · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022.

Latent Visual Cache for Video Reasoning Training language models to follow instructions with human feedback.Advances in neural information processing systems, 35:27730–27744, 2022

Reference 49

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b60f57ee-590d-4c42-9387-e709ebb22a73 · outbound

This paper cites Video-llava: Learning united visual representation by alignment before projection.

Latent Visual Cache for Video Reasoning Video-llava: Learning united visual representation by alignment before projection

Reference 50

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d96fd88-739f-4aa3-acbd-c2684148a4d4 · outbound

This paper cites an unresolved cited work.

Latent Visual Cache for Video Reasoning Unresolved cited work

Reference 51

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b01da90-e26c-4395-a3ad-47823087f670 · outbound

This paper cites Thinking with videos: Multimodal tool-augmented reinforcement learning for long video reasoning.

Latent Visual Cache for Video Reasoning Thinking with videos: Multimodal tool-augmented reinforcement learning for long video reasoning

Reference 52

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e3ebc10-c568-4798-884f-7eb7dc5775ee · outbound

This paper cites Video-of-thought: step-by-step video reasoning from perception to cognition.

Latent Visual Cache for Video Reasoning Video-of-thought: step-by-step video reasoning from perception to cognition

Reference 53

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d46470-37dc-4282-a15f-b80223777081 · outbound

This paper cites Vitcot: Video-text interleaved chain-of-thought for boosting video understanding in large language models.

Latent Visual Cache for Video Reasoning Vitcot: Video-text interleaved chain-of-thought for boosting video understanding in large language models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69ea96d0-e42a-40c0-a0ef-0980032c5ac1 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Latent Visual Cache for Video Reasoning Training Large Language Models to Reason in a Continuous Latent Space

Reference 55

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 307331b4-7612-45cf-8db7-08264b22e4b5 · outbound

This paper cites SoftCoT: Soft chain-of-thought for efficient reasoning with LLMs.

Latent Visual Cache for Video Reasoning SoftCoT: Soft chain-of-thought for efficient reasoning with LLMs

Reference 56

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2000a443-5da2-48a0-8880-1f649cca7e5d · outbound

This paper cites Hybrid latent reasoning via reinforcement learning.Advances in Neural Information Processing Systems, 38:5501–5530, 2026.

Latent Visual Cache for Video Reasoning Hybrid latent reasoning via reinforcement learning.Advances in Neural Information Processing Systems, 38:5501–5530, 2026

Reference 57

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ccbdba9-ab49-4122-be42-b98628f36953 · outbound

This paper cites Reasoning beyond language: A comprehensive survey on latent chain-of-thought reasoning.arXiv preprint arXiv:2505.16782, 2025.

Latent Visual Cache for Video Reasoning Reasoning beyond language: A comprehensive survey on latent chain-of-thought reasoning.arXiv preprint arXiv:2505.16782, 2025

Reference 58

Resolution: unresolved; no resolver link, observed 2026-07-12T09:09:15.248815Z

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Observation 152b8ca8-3380-46b6-b07c-c9a008e6cc01 · outbound

This paper cites Monet: Reasoning in latent visual space beyond image and language.

Latent Visual Cache for Video Reasoning Monet: Reasoning in latent visual space beyond image and language

Reference 59

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Observation 74f0c947-6424-4ac1-a4e3-74e3928e4042 · outbound

This paper cites Scaling up test-time compute with latent reasoning: A recurrent depth approach.Advances in Neural Information Processing Systems, 38:41340–41391, 2026.

Latent Visual Cache for Video Reasoning Scaling up test-time compute with latent reasoning: A recurrent depth approach.Advances in Neural Information Processing Systems, 38:41340–41391, 2026

Reference 60

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Pith citing papers

Observation 30cf12d7-beed-4d12-9caa-a1ba8ba98eb2 · inbound

Thinking in Video: Can Video Generators Really Reason About the Real World? cites this paper.

Thinking in Video: Can Video Generators Really Reason About the Real World? Latent Visual Cache for Video Reasoning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-01T17:47:13.597841Z

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