Paper Citation Record · LEDGER

AVIS: Adaptive Test-Time Scaling for Vision-Language Models

As of 19 August 2026, this Paper Citation Record lists 86 of 86 outbound references and 3 inbound Pith citation observations for arXiv:2606.11576.

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

pith.paper-citation-record.v1
2606.11576 v1

Coverage vector

measured 86 of 86 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:47:41.183211Z

measured 89 of 89 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:09:38.842587Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:31:39.939203Z

Reference resolution

86 of 86 outbound references displayed

verified exact16
verified fuzzy0
unresolved69
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c1d10113-6a0c-4d28-a8b4-b2d7739a5272 · outbound

This paper cites Qwen2.5-VL Technical Report.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Qwen2.5-VL Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.829559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd52fa1e-df50-4ad0-8d31-20f3e5bccc3d · outbound

This paper cites LLaV A-OneVision: Easy Visual Task Transfer.Transactions on Machine Learning Research, 2025.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models LLaV A-OneVision: Easy Visual Task Transfer.Transactions on Machine Learning Research, 2025

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec2a6cad-d544-4e94-895d-a2fbaeb50613 · outbound

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

AVIS: Adaptive Test-Time Scaling for Vision-Language Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.830470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 27228014-78f0-4134-ac44-79659ba643a6 · outbound

This paper cites an unresolved cited work.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425fd672-8555-450b-8ae0-4d147f4bda38 · outbound

This paper cites Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Vision-R1: Incentivizing Reasoning Capability in Multimodal Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae7c323-968f-49b6-9fbd-5210bdf1ed4c · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51a2785a-af28-4695-919e-22675b4baf02 · outbound

This paper cites Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul Christiano.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Ziegler, Ryan Lowe, Chelsea V oss, Alec Radford, Dario Amodei, and Paul Christiano

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c6c65d2-ccb7-4d8f-98b7-b40acae309ee · outbound

This paper cites Evaluation of Best-of-N Sampling Strategies for Language Model Alignment.Transactions on Machine Learning Research, 2025.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Evaluation of Best-of-N Sampling Strategies for Language Model Alignment.Transactions on Machine Learning Research, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01a4a787-68f3-4871-b3a9-54fde78796d6 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ee07fd5-6180-4424-8c6d-503e2ba45f88 · outbound

This paper cites An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38844e25-3d3f-4444-854e-b25c4fb62241 · outbound

This paper cites LLaV A-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models LLaV A-PruMerge: Adaptive Token Reduction for Efficient Large Multimodal Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e16d7e38-1593-43ee-a354-a52ae2db81c0 · outbound

This paper cites Limits and Gains of Test-Time Scaling in Vision-Language Reasoning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Limits and Gains of Test-Time Scaling in Vision-Language Reasoning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.853645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 087cc637-eeed-4ff3-bfbd-2f3860f7e51a · outbound

This paper cites Visual Instruction Tuning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Visual Instruction Tuning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3e747b1-894c-4718-afff-6ed93a32062f · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre- training with Frozen Image Encoders and Large Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models BLIP-2: Bootstrapping Language-Image Pre- training with Frozen Image Encoders and Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 905779dc-3e25-470e-988e-11643f7f7c4c · outbound

This paper cites LLaV A- NeXT: Improved Reasoning, OCR, and World Knowledge, January 2024.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models LLaV A- NeXT: Improved Reasoning, OCR, and World Knowledge, January 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36731078-b9d7-4c09-808d-d70e45670558 · outbound

This paper cites LLaV A-CoT: Let Vision Language Models Reason Step-by-Step.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models LLaV A-CoT: Let Vision Language Models Reason Step-by-Step

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72064742-5105-426b-8ecd-cdc7f2488570 · outbound

This paper cites Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f3b7609-3c84-4d53-aa03-14f915f7ad40 · outbound

This paper cites VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models VL-Rethinker: Incentivizing Self-Reflection of Vision-Language Models with Reinforcement Learning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2aed1795-662e-4db5-a588-7bd1f7bf7e9f · outbound

This paper cites Puzzle Curriculum GRPO for Vision-Centric Reasoning.arXiv preprint arXiv:2512.14944, 2025.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Puzzle Curriculum GRPO for Vision-Centric Reasoning.arXiv preprint arXiv:2512.14944, 2025

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.892179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6e42a8d8-6041-4a40-a37e-c7654626e1af · outbound

This paper cites VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models VLM-R1: A Stable and Generalizable R1-style Large Vision-Language Model

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.894692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b3eb7964-fa77-4a78-b4dc-b970b3884e84 · outbound

This paper cites R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 742ba8f3-c0f9-4678-bfab-e399f5d2bb6a · outbound

This paper cites When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains.arXiv preprint arXiv:2603.01301, 2026.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains.arXiv preprint arXiv:2603.01301, 2026

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.837527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e38bf516-a527-4225-8fd5-2168b2346526 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Evaluating Large Language Models Trained on Code

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.897113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab321964-d0aa-45d7-bc3f-d5d8a82875fd · outbound

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

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.889259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 299826ec-235d-4284-9d1e-6b7e704518ff · outbound

This paper cites Majority of the Bests: Improving Best-of-N via Bootstrapping.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Majority of the Bests: Improving Best-of-N via Bootstrapping

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c327420-b881-45b2-a2bd-b0f7136fda44 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Self-Refine: Iterative Refinement with Self-Feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d96d1cb-d588-49b6-8129-821e39e7d313 · outbound

This paper cites Let’s Verify Step by Step.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Let’s Verify Step by Step

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61c055f9-9f92-4601-92d0-aa93e4818f0e · outbound

This paper cites Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Math-Shepherd: Verify and Reinforce LLMs Step-by-step without Human Annotations

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55e7a0d6-a857-4bea-98eb-601dd7cc944a · outbound

This paper cites s1: Simple Test-Time Scaling.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models s1: Simple Test-Time Scaling

Reference 29

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c16a5dc-dadb-4fb5-8ea1-f9021b8ff470 · outbound

This paper cites SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.855439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3e831cad-a8a7-4145-a1a7-e22b4c8de4be · outbound

This paper cites Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.848719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ed61dc1a-580c-4023-916f-dbf868dd6c80 · outbound

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

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Scaling LLM Test-Time Compute Opti- mally can be More Effective than Scaling Model Parameters

Reference 32

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0b93ebd-32e2-45cb-a59a-9438605e49f2 · outbound

This paper cites Learning How Hard to Think: Input-Adaptive Allocation of LM Computation.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Learning How Hard to Think: Input-Adaptive Allocation of LM Computation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites CyberV: Cybernetics for Test-time Scaling in Video Understanding.

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 2026-08-19T06:32:44.657259+00:00.

Observation bb97b15e-69c1-411b-b3b6-05a219fbbe90 · outbound

This paper cites Vista: Mitigating semantic inertia in video-llms via training-free dynamic chain-of-thought routing.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Vista: Mitigating semantic inertia in video-llms via training-free dynamic chain-of-thought routing

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.844988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 37009677-e164-4331-94ee-6427dc504079 · outbound

This paper cites Learning Adaptive Reasoning Paths for Efficient Visual Reasoning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Learning Adaptive Reasoning Paths for Efficient Visual Reasoning

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.847646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9dbd312c-ab38-4353-abba-14e53e86babe · outbound

This paper cites ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91a4022-da5f-4c1c-b022-f8fb5c3f7a72 · outbound

This paper cites Efficient Test-Time Scaling for Small Vision-Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Efficient Test-Time Scaling for Small Vision-Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a728f2-27eb-4f0e-9a5c-adbf4f408ff1 · outbound

This paper cites Improve Vision Language Model Chain-of-thought Reasoning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Improve Vision Language Model Chain-of-thought Reasoning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2f37f97-6c6d-47ff-860a-3f66a96f996e · outbound

This paper cites Aha moment revisited: Are vlms truly capable of self verification in inference- time scaling?arXiv preprint arXiv:2506.17417, 2025a.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Aha moment revisited: Are vlms truly capable of self verification in inference- time scaling?arXiv preprint arXiv:2506.17417, 2025a

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.850204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1e3b4b9-1721-4539-9413-73f061516819 · outbound

This paper cites Similarity-Aware Token Pruning: Your VLM but Faster.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Similarity-Aware Token Pruning: Your VLM but Faster

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.886204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cf165c29-1646-4073-9ebc-4ad66361df70 · outbound

This paper cites PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d7ac93-7673-4491-9f3a-fc9f37fad972 · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abf55d21-b095-4827-a0d7-7738819772b1 · outbound

This paper cites VisionZip: Longer is Better but Not Necessary in Vision Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models VisionZip: Longer is Better but Not Necessary in Vision Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06901dcc-af4c-4161-92f4-676f8d42fed4 · outbound

This paper cites PruneVid: Visual Token Pruning for Efficient Video Large Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models PruneVid: Visual Token Pruning for Efficient Video Large Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c4a636f-f22a-4396-bebb-15e0992cb8b1 · outbound

This paper cites Token Merging: Your ViT But Faster.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Token Merging: Your ViT But Faster

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5059fa4-e6ac-45b5-b1be-7c25f572cfca · outbound

This paper cites DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd85ac8e-8961-41b5-b746-a30b97f927d8 · outbound

This paper cites Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs

Reference 48

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f38d9df-4fc2-4966-b07f-4e99f125a18c · outbound

This paper cites Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Beyond Text-Visual Attention: Exploiting Visual Cues for Effective Token Pruning in VLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a39d5062-6d91-4620-963a-475933721c25 · outbound

This paper cites TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63bc77e3-8231-4112-a387-473ba560c1df · outbound

This paper cites CATP: Contextu- ally Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models CATP: Contextu- ally Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3204da28-5f07-4cd9-9c40-87eec7f451f0 · outbound

This paper cites FlashAttention: Fast and Memory- Efficient Exact Attention with IO-Awareness.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models FlashAttention: Fast and Memory- Efficient Exact Attention with IO-Awareness

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 194aa806-0e9e-41e0-ae4e-fd6a7db41eba · outbound

This paper cites VScan: Rethinking Visual Token Reduction for Efficient Large Vision- Language Models.Transactions on Machine Learning Research, 2026.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models VScan: Rethinking Visual Token Reduction for Efficient Large Vision- Language Models.Transactions on Machine Learning Research, 2026

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9986cf-33b2-4062-aafa-6d9daa60909a · outbound

This paper cites KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31df5339-a59d-47c3-afc2-3584911f23d8 · outbound

This paper cites VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0abf0c17-b79d-42be-9b60-6ff67d19e93c · outbound

This paper cites MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d5a536d-7141-40b1-bc52-b4c520926909 · outbound

This paper cites MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? InEuropean Conference on Computer Vision, 2024.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? InEuropean Conference on Computer Vision, 2024

Reference 57

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c586b138-e026-4719-9f58-780e3cd94b57 · outbound

This paper cites Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.Advances in Neural Information Processing Systems (NeurIPS), 37:95095–95169, 2024.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.Advances in Neural Information Processing Systems (NeurIPS), 37:95095–95169, 2024

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dcd9a28-6285-40c7-ab2c-6ee507bdc2e1 · outbound

This paper cites DocVQA: A Dataset for VQA on Document Images.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models DocVQA: A Dataset for VQA on Document Images

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bcb69df-7035-4877-bc02-b85a5c0027c7 · outbound

This paper cites MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c373c94d-748c-47b3-9de4-a5b9312d4020 · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b58cd25-3106-42f1-bd92-3a042c2a9c8b · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models? InAdvances in Neural Information Processing Systems (NeurIPS), 2024.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Are We on the Right Way for Evaluating Large Vision-Language Models? InAdvances in Neural Information Processing Systems (NeurIPS), 2024

Reference 62

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4102869c-37cb-482c-94e8-bedbbb2cf7ea · outbound

This paper cites MMBench: Is Your Multi-modal Model an All-around Player? InEuropean Conference on Computer Vision, 2024.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models MMBench: Is Your Multi-modal Model an All-around Player? InEuropean Conference on Computer Vision, 2024

Reference 63

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93d8c24e-56df-432a-80cd-d16399b2fed4 · outbound

This paper cites Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65262a67-54f0-4467-bfa2-bcbf099eb45e · outbound

This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 65

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8e5a5b-8fa7-4e66-8029-d71d64dd13a9 · outbound

This paper cites Smith, Wei-Chiu Ma, and Ranjay Krishna.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Smith, Wei-Chiu Ma, and Ranjay Krishna

Reference 66

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ffeb757-ee6c-42c6-845b-eb4e9dc242ba · outbound

This paper cites Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Traceable Evidence Enhanced Visual Grounded Reasoning: Evaluation and Methodology

Reference 67

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 349039f5-68e8-4699-bd8d-c0d466c4a2c7 · outbound

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

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis

Reference 68

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fef393f5-4bfb-48dc-a064-20bb0c0b9bc2 · outbound

This paper cites TempCompass: Do Video LLMs Really Understand Videos? InFindings of the Association for Computational Linguistics: ACL 2024, pages 8731–8772, 2024.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models TempCompass: Do Video LLMs Really Understand Videos? InFindings of the Association for Computational Linguistics: ACL 2024, pages 8731–8772, 2024

Reference 69

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b3bce9f-06b3-445b-b472-df869a9fbc17 · outbound

This paper cites Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Towards Video Thinking Test: A Holistic Benchmark for Advanced Video Reasoning and Understanding

Reference 70

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb99e5a9-a171-4409-9dc0-eb817966d233 · outbound

This paper cites MVBench: A Comprehensive Multi-modal Video Understanding Benchmark.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models MVBench: A Comprehensive Multi-modal Video Understanding Benchmark

Reference 71

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58316217-3316-4300-bc9b-2a9080b7e29d · outbound

This paper cites Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Q-Bench-Video: Benchmark the Video Quality Understanding of LMMs

Reference 72

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 477122f4-1492-47ec-b288-ce6ac919f074 · outbound

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

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-07-03T08:17:45.846147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cdf5bef9-e05c-4e55-a5ba-be5961c06ac5 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Gonzalez, Hao Zhang, and Ion Stoica

Reference 74

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1b05748-a5e5-4f6a-b77b-ce0da3055a87 · outbound

This paper cites OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles

Reference 75

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0781584f-13ad-4afd-8480-cde6783bf8a0 · outbound

This paper cites Perceiver: General perception with iterative attention.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Perceiver: General perception with iterative attention

Reference 76

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80c56837-1c06-4d64-87bd-666e635e9582 · outbound

This paper cites LLaV A-Video: Video Instruction Tuning With Synthetic Data.Transactions on Machine Learning Research, 2025.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models LLaV A-Video: Video Instruction Tuning With Synthetic Data.Transactions on Machine Learning Research, 2025

Reference 77

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c76ad6c-71e5-4935-b2f9-16bd3eaa3c37 · outbound

This paper cites A- OKVQA: A Benchmark for Visual Question Answering using World Knowledge.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models A- OKVQA: A Benchmark for Visual Question Answering using World Knowledge

Reference 78

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8324f67-9fb9-4970-adc8-9d5e3a03ce92 · outbound

This paper cites A Diagram Is Worth A Dozen Images.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models A Diagram Is Worth A Dozen Images

Reference 79

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4730b2f8-e46a-4d3f-96de-10976aa182b1 · outbound

This paper cites Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension

Reference 80

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f1b29ca-cfde-4359-9103-f79fd6369aeb · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 81

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6aae95e4-c377-4639-8cdb-bc4ade857cd2 · outbound

This paper cites Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.Advances in Neural Information Processing Systems, 35:2507–2521, 2022.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.Advances in Neural Information Processing Systems, 35:2507–2521, 2022

Reference 82

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba7e04dc-8421-4f85-b33f-42c64933907a · outbound

This paper cites ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical Reasoning

Reference 83

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed2d3af1-df27-4b17-8d27-b92274981a9d · outbound

This paper cites MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI

Reference 84

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0973a0c-117a-4aa3-81ee-87c8776e8ae8 · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 85

Resolution: malformed identifier; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 300c80a8-6768-4b64-8bad-cb125859067d · outbound

This paper cites Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects.

AVIS: Adaptive Test-Time Scaling for Vision-Language Models Guidelines: • The answer [N/A] means that the paper does not involve crowdsourcing nor research with human subjects

Reference 86

Resolution: unresolved; no resolver link, observed 2026-06-27T10:47:41.183211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 94581dcf-32f0-4a7d-a91d-e740d1b659df · inbound

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling cites this paper.

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling AVIS: Adaptive Test-Time Scaling for Vision-Language Models

Reference 5

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T00:31:40.050482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 100e795c-0d12-452d-b2fe-f0ce1c4abafa · inbound

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling cites this paper.

It's the Decoding Format, Not the Perturbation: Auditing Consistency-Based Selection for Vision-Language Test-Time Scaling AVIS: Adaptive Test-Time Scaling for Vision-Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T04:18:03.076604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e7fd8d1-21cb-4921-a874-0d840380841b · inbound

Not All Visual Tokens Are Equally Safe to Remove:Consequence-Sensitive Visual Token Compression cites this paper.

Not All Visual Tokens Are Equally Safe to Remove:Consequence-Sensitive Visual Token Compression AVIS: Adaptive Test-Time Scaling for Vision-Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:09:38.842587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.