Paper Citation Record · LEDGER

CyberV: Cybernetics for Test-time Scaling in Video Understanding

As of 7 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 4 inbound Pith citation observations for arXiv:2506.07971.

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

pith.paper-citation-record.v1
2506.07971 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:47.320450Z

measured 70 of 70 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:11:48.455492Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:17:45.840937Z

Reference resolution

66 of 66 outbound references displayed

verified exact2
verified fuzzy14
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7185dab-cc29-44f0-aed7-77af05663516 · outbound

This paper cites Critique-out-Loud Reward Models.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Critique-out-Loud Reward Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:46.991810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e3845e7-e9b5-42bb-816b-bb375d6c6faf · outbound

This paper cites Claude Team.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Claude Team

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.518617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e740239e-8ac9-486c-9fa1-c8791206aeee · outbound

This paper cites An introduction to cybernetics.

CyberV: Cybernetics for Test-time Scaling in Video Understanding An introduction to cybernetics

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.003174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2929c73e-7163-4694-b270-508417fda755 · outbound

This paper cites Qwen Technical Report.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Qwen Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.008776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4de9698-e180-4017-8a64-20932ec07567 · outbound

This paper cites Qwen2.5-VL Technical Report.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Qwen2.5-VL Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.014066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18dedfcc-cf37-4917-9de4-ba0fdaf51c54 · outbound

This paper cites Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Forest-of-Thought: Scaling Test-Time Compute for Enhancing LLM Reasoning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.019699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994a85ef-f28d-40c1-95b8-db86e8829a82 · outbound

This paper cites Large Language Monkeys: Scaling Inference Compute with Repeated Sampling.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.025491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58bd6a79-63cc-4f58-8fa3-bbd7fae87bb7 · outbound

This paper cites On the importance of being emergent.Constructivist Foundations, 5(2):89, March 2010.

CyberV: Cybernetics for Test-time Scaling in Video Understanding On the importance of being emergent.Constructivist Foundations, 5(2):89, March 2010

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.492129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6c5ab84d-8850-40dd-9b20-a4b9d5966bee · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.036084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4960047-268e-4d75-b7d9-b582d9ccbe2f · outbound

This paper cites How far are we to gpt-4v? closing the gap to commercial multimodal models with open-source suites.

CyberV: Cybernetics for Test-time Scaling in Video Understanding 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 2026-08-07T05:26:47.041414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eba9dc51-6926-4f79-af91-9d81a4c118ce · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.046212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf7bc706-83ea-43bc-ae03-0ce04f6be90c · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.051059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6438f68a-91c3-4f0e-b688-9341f1f30ad5 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Video-of-thought: step-by-step video reasoning from perception to cognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.457539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f1438cd1-b6b3-4387-894d-4246da694cb6 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Video-R1: Reinforcing Video Reasoning in MLLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.060972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f693478b-31f6-475c-856e-3a13988d1d50 · outbound

This paper cites Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Do I Know This Entity? Knowledge Awareness and Hallucinations in Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.066169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf788293-7850-47ac-bab6-645d0779f3b9 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.442495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 747e27cb-f39e-420e-8639-33ce86441252 · outbound

This paper cites The boat/helmsman.

CyberV: Cybernetics for Test-time Scaling in Video Understanding The boat/helmsman

Reference 17

Resolution: verified exact; doi, observed 2026-08-07T05:26:47.424258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11f49cd3-e5d7-4800-b667-df25200b3118 · outbound

This paper cites Stream of search (sos): Learning to search in language.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Stream of search (sos): Learning to search in language

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.427236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fdb91667-117e-485c-b3d7-bd685ac7f5c9 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

CyberV: Cybernetics for Test-time Scaling in Video Understanding DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.085969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e477a11-c3be-4f89-8374-03516e599b7e · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.091033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52664408-8232-4b51-b2a6-1494f9cc6290 · outbound

This paper cites Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Free Video-LLM: Prompt-guided Visual Perception for Efficient Training-free Video LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.096138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4593a06-0e96-4413-bcfb-bf733a9b9095 · outbound

This paper cites WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs.

CyberV: Cybernetics for Test-time Scaling in Video Understanding WorldSense: Evaluating Real-world Omnimodal Understanding for Multimodal LLMs

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.101151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae032cd7-8015-47c5-ab16-ab4aea6e38d8 · outbound

This paper cites Following clues, approaching the truth: Explainable micro-video rumor detection via chain-of-thought reasoning.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Following clues, approaching the truth: Explainable micro-video rumor detection via chain-of-thought reasoning

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.411597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 86481275-9056-4f32-9893-441e6d675a85 · outbound

This paper cites CoS: Chain-of-Shot Prompting for Long Video Understanding.

CyberV: Cybernetics for Test-time Scaling in Video Understanding CoS: Chain-of-Shot Prompting for Long Video Understanding

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.111365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3afe48cc-0bfa-4fef-b495-e4872d0f038f · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.116523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8f6dcc4-cdb6-4b49-9c46-79f8f5a8da40 · outbound

This paper cites Neural Networks with Recurrent Generative Feedback.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Neural Networks with Recurrent Generative Feedback

Reference 26

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:26:47.407547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0f4d2b99-c812-4e5e-8f72-6dee08f56bee · outbound

This paper cites Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.126961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e179b3d8-d236-4c49-a55c-6fc28c022fd3 · outbound

This paper cites A Simple Model of Inference Scaling Laws.

CyberV: Cybernetics for Test-time Scaling in Video Understanding A Simple Model of Inference Scaling Laws

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.132278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 851b920e-39c9-4bc9-b8b4-ddee8a6e5fc0 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding LLaVA-OneVision: Easy Visual Task Transfer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.137280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92b4578-1639-44c9-8c4e-488ab0c0a9d5 · outbound

This paper cites Aria: An Open Multimodal Native Mixture-of-Experts Model.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Aria: An Open Multimodal Native Mixture-of-Experts Model

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.142398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 013a7f46-5688-41ee-8cbc-19d60450485c · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.148333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae133fc9-d4c1-43ea-8968-351acf771948 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Mvbench: A comprehensive multi-modal video understanding benchmark

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.152919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af25d190-2708-432b-b466-11303fba6d59 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-Tuning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.157304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba96c21b-1485-4d4c-a140-b80e1b4c14e3 · outbound

This paper cites Let’s verify step by step.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Let’s verify step by step

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.162872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd4414fc-f965-40d8-988c-edcd08c27348 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Vila: On pre-training for visual language models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.364823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 70bd4eff-189c-4e66-ba8b-fcf6c0b35422 · outbound

This paper cites Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.172225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f9db7db-44f9-475e-9bfc-ce67c36f08ea · outbound

This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.176832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5caae8b8-9813-4dcc-bd72-5340ec991c81 · outbound

This paper cites MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning.

CyberV: Cybernetics for Test-time Scaling in Video Understanding MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.181794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ab3f98-e34b-4872-8763-610baf0a67b7 · outbound

This paper cites McCulloch and Walter Pitts.

CyberV: Cybernetics for Test-time Scaling in Video Understanding McCulloch and Walter Pitts

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.186636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb5e8886-3922-4cf0-987d-c1b25fd2cdf1 · outbound

This paper cites s1: Simple test-time scaling.

CyberV: Cybernetics for Test-time Scaling in Video Understanding s1: Simple test-time scaling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.191423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72efaefc-21fd-4b76-99fe-2c3972bdbaef · outbound

This paper cites Hello gpt4-o.https://openai.com/index/hello-gpt-4o/, 2024.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Hello gpt4-o.https://openai.com/index/hello-gpt-4o/, 2024

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.348109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22e546a7-2917-49a5-8cf7-7d55f3900988 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Direct preference optimization: Your language model is secretly a reward model

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.201026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b049d93d-4725-4e24-8888-2c87fa20c840 · outbound

This paper cites Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.205836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4785098-977e-4d34-b28f-be95bb55213d · outbound

This paper cites Proximal Policy Optimization Algorithms.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Proximal Policy Optimization Algorithms

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.210761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 325e25aa-5e79-44e0-979d-8720389223f2 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.215800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236dae6e-f37c-4689-a97e-850002edef3b · outbound

This paper cites Long-vita: Scaling large multi-modal models to 1 million tokens with leading short-context accuray.arXiv preprint arXiv:2502.05177, 2025.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Long-vita: Scaling large multi-modal models to 1 million tokens with leading short-context accuray.arXiv preprint arXiv:2502.05177, 2025

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.220900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e951b058-651e-41cb-82f6-f9ca968c09dd · outbound

This paper cites Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.226160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0df38b86-7c5b-4f31-af4f-94f8719d72c9 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.231346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81506776-cb69-4f53-9508-b66c1acd9ec1 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.236163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e2787e1-62d6-4daf-9d48-12cc9422ec2c · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Solving math word problems with process- and outcome-based feedback

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.241336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3437d662-c6b0-46cd-8d70-479da2f81a49 · outbound

This paper cites Cybernetics: Circular causal and feedback mechanisms in biological and social systems.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Cybernetics: Circular causal and feedback mechanisms in biological and social systems

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.322834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 91d4ed42-b3c9-4384-8bf2-7cad3e7b3fa4 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.250907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f55b0907-0362-4df1-8774-85ba73fb327e · outbound

This paper cites Visionllm: Large language model is also an open-ended decoder for vision-centric tasks.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Visionllm: Large language model is also an open-ended decoder for vision-centric tasks

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.307116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0ffe3b2b-39e2-4b0e-9b9e-e069d30f6c33 · outbound

This paper cites Self-consistency improves chain of thought reasoning in language models.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Self-consistency improves chain of thought reasoning in language models

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.261813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61606932-3186-4d92-91fb-d4541afcc799 · outbound

This paper cites InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling.

CyberV: Cybernetics for Test-time Scaling in Video Understanding InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.266447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16060295-c0bd-46b4-a319-e377a229e929 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding Chain-of-thought prompting elicits reasoning in large language models

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.281545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 49ed97e7-5fef-42f6-8de4-acd32a68c974 · outbound

This paper cites Cybernetics or Control and Communication in the Animal and the Machine.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Cybernetics or Control and Communication in the Animal and the Machine

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.265217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e4ced83-f7b3-4205-89b5-5186abd780c4 · outbound

This paper cites Controlmllm: Training-free visual prompt learning for multimodal large language models.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Controlmllm: Training-free visual prompt learning for multimodal large language models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.249410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d98e0f41-98b9-4c0d-b213-7bde18df4df7 · outbound

This paper cites DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data.

CyberV: Cybernetics for Test-time Scaling in Video Understanding DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.285294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29ae9f45-2e00-4a5d-9cbd-fea763364b39 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.290148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ebd99f9-284f-456e-9fb2-5a0f7fc30cb0 · outbound

This paper cites Video-llama: An instruction-tuned audio-visual language model for video understanding.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Video-llama: An instruction-tuned audio-visual language model for video understanding

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:26:48.233970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf0663c6-07a0-424d-a475-16f65e101b6b · outbound

This paper cites Long Context Transfer from Language to Vision.

CyberV: Cybernetics for Test-time Scaling in Video Understanding Long Context Transfer from Language to Vision

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.299651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d55a354c-3fae-4341-b0c8-0637b6366ea6 · outbound

This paper cites AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback.

CyberV: Cybernetics for Test-time Scaling in Video Understanding AdaRefiner: Refining Decisions of Language Models with Adaptive Feedback

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:26:47.371796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b93e37e-a4f1-4806-a581-13cf263521b9 · outbound

This paper cites TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning.

CyberV: Cybernetics for Test-time Scaling in Video Understanding TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.309529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac43119-00d2-4316-80ae-1ac7c5cda771 · outbound

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

CyberV: Cybernetics for Test-time Scaling in Video Understanding LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.315568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 482ffa6f-a7bc-4d60-aff8-32ef23cb0176 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

CyberV: Cybernetics for Test-time Scaling in Video Understanding InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:47.320450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation eae3f730-7ef9-40ac-8040-03d74213e13a · inbound

Towards One-to-Many Temporal Grounding cites this paper.

Towards One-to-Many Temporal Grounding CyberV: Cybernetics for Test-time Scaling in Video Understanding

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.682594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74dd834b-6366-4786-b43c-4902ac52591b · inbound

Watch, Remember, Reason: Human-View Video Understanding with MLLMs cites this paper.

Watch, Remember, Reason: Human-View Video Understanding with MLLMs CyberV: Cybernetics for Test-time Scaling in Video Understanding

Reference 229

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:27:15.514528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 13131be7-d41c-4a63-b60c-6d48758620dd · inbound

Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning cites this paper.

Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning CyberV: Cybernetics for Test-time Scaling in Video Understanding

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:25.298267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bec2ef43-3501-4268-ade0-ea680fe68fe0 · inbound

AVIS: Adaptive Test-Time Scaling for Vision-Language Models cites this paper.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models CyberV: Cybernetics for Test-time Scaling in Video Understanding

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.842398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.