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Paper Citation Record · LEDGER

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 1 inbound Pith citation observation for arXiv:2506.08691.

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

pith.paper-citation-record.v1
2506.08691 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:09:24.020605Z

measured 46 of 46 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T19:36:57.231932Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T21:37:25.289403Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved45
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 23ace000-230b-4d70-a2f6-a22c80d74a04 · outbound

This paper cites M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism M$^3$CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:18.196208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:18.196208Z digest=sha256:8acbfc40951660e1fee2bbce86578b56647734788ab56710983e98688a297e68

Observation 7c80bb66-02a8-4420-a3c7-08d9ebd843db · outbound

This paper cites Vision-Language Models Can Self-Improve Reasoning via Reflection.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Vision-Language Models Can Self-Improve Reasoning via Reflection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:18.339751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:18.339751Z digest=sha256:9183690ac7e6743415ece8426a9a554094bb3fd4d0e81077bc47b6980b0ce69b

Observation a88b7e8b-8b0b-4109-b718-e29bf56f8044 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:26.869391Z

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.

source=arxiv_source observed=2026-08-07T05:09:18.463000Z digest=sha256:d5d882613ae79f2912efaf5ee0e0f88b58a6579e4cef387d1989325517e865b2

Observation 4234ff1d-a7b8-47fb-b9ec-4092ced0f56f · outbound

This paper cites Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Alphazero-like Tree-Search can Guide Large Language Model Decoding and Training

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:18.616592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:18.616592Z digest=sha256:f74b134ee8a76554450eca3910948c484ca43f0f94b8a9d79f6938f12c034b32

Observation 1ff5ce33-eb00-477a-9bfe-dedaac308c02 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:26.688387Z

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.

source=arxiv_source observed=2026-08-07T05:09:18.772129Z digest=sha256:d528adf6ad7c4dbeb208c3214493699e9484ac4af2d7cadce77006cb58b8a12f

Observation 545bdbd5-21ae-42ef-983b-af63ca588c00 · outbound

This paper cites MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism MAmmoTH-VL: Eliciting Multimodal Reasoning with Instruction Tuning at Scale

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:18.908261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:18.908261Z digest=sha256:3f4d616efdc7b6369798bf3ecfeec97a31e5da4c8ab2d6b74cf3b17835a92eeb

Observation 6b82c278-4165-4991-bafd-c1790c45ff77 · outbound

This paper cites Reasoning with Language Model is Planning with World Model.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Reasoning with Language Model is Planning with World Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:18.989445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:18.989445Z digest=sha256:c8d256126dcb2bb62851e7066ae2b2f2fa770812df1eaa5f8969d5e171905f41

Observation d9b9faf8-5635-468d-ad9f-915166704426 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:26.473220Z

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.

source=arxiv_source observed=2026-08-07T05:09:19.196937Z digest=sha256:7c7e59628f70206e270c348001d95532eb4282b0862520cad4d93abaef5ace37

Observation 22e7a611-396f-4de5-9f91-6664fcbf3176 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:19.387591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:19.387591Z digest=sha256:2f7d2570a9e60334bd264c96a8465b160f8e4d7bb9997423ce2e9932d2696c12

Observation a4cc418c-f9fe-4f52-9f47-9608d2518715 · outbound

This paper cites Enhancing LLM Reasoning with Reward-guided Tree Search.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Enhancing LLM Reasoning with Reward-guided Tree Search

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:19.582648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:19.582648Z digest=sha256:86921c210e57b50cd33ea41018a6202933f3708785b310c77f9584d3560640c5

Observation cf9a2bda-4e86-44c3-87b2-93b8c94e6932 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:19.753354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:19.753354Z digest=sha256:bd5dd68a60f2789736d7789c1af933d06dea9f0eb16f81b64cca1088b51abbc4

Observation e48b2f53-69e0-4b15-b07c-c0d92a0647c5 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:19.869927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:19.869927Z digest=sha256:0e696a6c6daa3b8d461652837930b7e31f03c3a621caf9a580ff27309c1d864f

Observation 0838fab1-c0a1-4f3b-bca0-ad1570aa6a54 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:26.276145Z

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.

source=arxiv_source observed=2026-08-07T05:09:20.016775Z digest=sha256:0f9bd21cbf40b89fe21ee52b4027753fb6ab8f4f1773a3081780e41cfabcc022

Observation 703522a3-f8db-4ca3-bffe-b10263c8ba16 · outbound

This paper cites Let's Verify Step by Step.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Let's Verify Step by Step

Reference 14

Resolution
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no resolver link, observed 2026-08-07T05:09:20.155515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:20.155515Z digest=sha256:c5339d117d7c316d6e996b34e916ac7ed37cca65e432d0ac4a8a46556cdf6c29

Observation 53f62501-e248-4ba2-b045-4974a4ac66bb · outbound

This paper cites ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism ChartThinker: A Contextual Chain-of-Thought Approach to Optimized Chart Summarization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:20.285362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:20.285362Z digest=sha256:fa58ccc29df89b544b36be114a0b1f16db164e5e40196993db1e0dd6f4a8c8b3

Observation 3053ebc7-247d-47bd-a3ba-0dca31b5db42 · outbound

This paper cites Large Language Model Guided Tree-of-Thought.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Large Language Model Guided Tree-of-Thought

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:20.396124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:20.396124Z digest=sha256:84aae893918c25590ad095c6c57310f419d51227b4cbfab7699da4dd1c1e3fcd

Observation 2343b7c5-30cf-4720-be51-62f1247f0507 · outbound

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

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:20.523908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:20.523908Z digest=sha256:4557803eaabf9059000903335f7b8ba4f4717cf9e700e53e20bd12336af931ec

Observation cf928d51-7b97-4148-b96b-7546f86bebab · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:20.636332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:20.636332Z digest=sha256:e27a9b19fd3c7b52ba097edafae6ee6bc1dcefe1eb9882c528607f1c80fc63d8

Observation 02824006-03e0-44bd-8de7-a77bf2d4f914 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:26.094013Z

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.

source=arxiv_source observed=2026-08-07T05:09:20.747025Z digest=sha256:404872471a22fdeb949a1568cc6e39afe0e6013d0e005ac7a18aacd22b8dca4b

Observation 64f3840c-b3e4-4392-9489-7bf1e8cf09d0 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:25.899175Z

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.

source=arxiv_source observed=2026-08-07T05:09:20.887191Z digest=sha256:4bba8a5a802de97276d4c14c3c38c737417c010c70576da67d44672d4d631cfd

Observation 243c15b1-9f15-4dcf-aac3-c2fadbf53751 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:25.683150Z

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.

source=arxiv_source observed=2026-08-07T05:09:21.057769Z digest=sha256:95254dcd31c67f34b630b33cc2c87e6e83ec035bbd3973abfb95c17693ce3f83

Observation 1a6999fa-faf2-47bb-a125-bdb61b8312a0 · outbound

This paper cites Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:21.174185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:21.174185Z digest=sha256:c8d0e1ac540c6d1ffe8ce3cb17a9bbdbabf79043f625394e0bcfc2840fb4f7e3

Observation 51686c0b-61a3-46c9-975f-c39cbefbb205 · outbound

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

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 23

Resolution
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no resolver link, observed 2026-08-07T05:09:21.380191Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:21.380191Z digest=sha256:0389104d7b06cda05b3d0a9081ea736268869dd7200bc5531347b9eee3c9a3d5

Observation d22d9979-53ec-47a4-af77-8cb356a00a67 · outbound

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

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:21.545744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:21.545744Z digest=sha256:586ea4f841e1c27789c0224c70e1a9a0440dd239b25af8da47d3e08100a5a657

Observation 59fbe118-6147-4a95-9996-0156d9c7c597 · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:21.647142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:21.647142Z digest=sha256:ada1202ca5551b8b6ed1fbcb5670c4a9cb8787c2af0fb810a9481d2dfc888bbd

Observation bc132b93-c994-4b01-8c8a-2b858c3fdb7f · outbound

This paper cites CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:21.813886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:21.813886Z digest=sha256:646565bc9b74a281f87fd3770ad8dd28a0000faf81cd15bccdcb9c7cd767f469

Observation ecb2c3a1-578c-4746-853a-24f3db9e00e9 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:22.026151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:22.026151Z digest=sha256:45f70120d2b5909c94f2637a5c0b72a898be2707751bc7da7d5fcacd15b95fda

Observation a92ce3da-0fea-4661-b610-a2ca319d9984 · outbound

This paper cites ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism ChartInsights: Evaluating Multimodal Large Language Models for Low-Level Chart Question Answering

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:22.134598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:22.134598Z digest=sha256:109fe061faa3e82d64260a508b558dd6b1fb881b411ab827fa2b860c6c420a0a

Observation 7e1acb8e-75d2-4094-aa64-372b6ae565b4 · outbound

This paper cites Number it: Temporal Grounding Videos like Flipping Manga.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Number it: Temporal Grounding Videos like Flipping Manga

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:22.277066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:22.277066Z digest=sha256:2cf1f0f6d901299a2a60de572714cce45bcd5fd946b9c03e530a15638b0386cd

Observation caded182-4d53-4ea1-bd7c-7174b021f941 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:25.508723Z

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.

source=arxiv_source observed=2026-08-07T05:09:22.476292Z digest=sha256:f2b897d750b4f03df6ea34c69fdc7821b87b54ade3e1fd3dc37d4cb356209dad

Observation 0ee7b07b-56ff-4d14-bb91-6822defa8d9e · outbound

This paper cites ChartBench: A Benchmark for Complex Visual Reasoning in Charts.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism ChartBench: A Benchmark for Complex Visual Reasoning in Charts

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:22.590714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:22.590714Z digest=sha256:e65d2839e4d01f577b692a3c743a7355cd2edb076383d8d2fd2139727310e051

Observation 9fe46db7-7db3-4442-8aa6-ac1809a3e171 · outbound

This paper cites Qwen2 Technical Report.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Qwen2 Technical Report

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:22.792599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:22.792599Z digest=sha256:09eb4b2857aa87075e89dde19900233f21e206a9ab51dd3d6278ecfd067eb1ad

Observation 1aabe9c5-9116-472c-81e7-422112b144eb · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:25.334215Z

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.

source=arxiv_source observed=2026-08-07T05:09:22.870253Z digest=sha256:452b6f485cef6f8fa87b24e5f51ba7868e599efbfe9848eb53e9f1332ab42968

Observation 2a01d426-545e-4ba5-b37a-309808586dc8 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:22.962916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:22.962916Z digest=sha256:2e6697ac0898fad81df826d00791a886d76e3b8e7b3ce6c67563e9138c07046f

Observation adadffbe-0eba-41be-8c18-fa335bfa63c7 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:23.042401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:23.042401Z digest=sha256:898f5365eea49507d386fddbbc0bc0e16cc6cf4e69474497fcd766daddc3d116

Observation b712d1f3-ae63-4f03-beab-9d97bf352f50 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:25.128428Z

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.

source=arxiv_source observed=2026-08-07T05:09:23.127849Z digest=sha256:99bb2f02b68ea6ce2e904186ac194c384492f82553c10edce8b8d3da7e53c532

Observation f4a3a9e7-5c69-4fc8-bffa-56f9115de103 · outbound

This paper cites ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:23.240182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:23.240182Z digest=sha256:298083fbfa25a44c65ba1b5a1d8cf20d3b468e629686f9313a2323b0b47e55a1

Observation f87f5801-3e66-45b7-a293-8186d484b3df · outbound

This paper cites LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism LLaMA-Berry: Pairwise Optimization for O1-like Olympiad-Level Mathematical Reasoning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:23.349125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:23.349125Z digest=sha256:44b908d03846efb83eccfe73ab4e17623b3a192579c0b8020f7a3376df4e0039

Observation 4c15f74a-18aa-48b8-a829-3e63b4303cae · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:24.940863Z

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.

source=arxiv_source observed=2026-08-07T05:09:23.429504Z digest=sha256:cbebec183978b0ecbb72adecb660309307f868ad1d654e42439d7c21d4c3c8a6

Observation ba1fb63a-f1e6-4641-aa47-f9c3ad038dcd · outbound

This paper cites Automatic Chain of Thought Prompting in Large Language Models.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Automatic Chain of Thought Prompting in Large Language Models

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:23.513166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:23.513166Z digest=sha256:8627787bfa0374afc07e89f8f5b8490e577ea0b60c4974f062a819d8fa0ac063

Observation 133a0312-fd14-48e7-a0bb-71019c467bc8 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Multimodal Chain-of-Thought Reasoning in Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:23.620651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:23.620651Z digest=sha256:7c1125ef63a772547644369fe8e2edb2a51702dba9b59cba1d979d350fbd930d

Observation 00d1e608-90c7-4f33-8808-8973a85ceb53 · outbound

This paper cites Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Benchmarking Multi-Image Understanding in Vision and Language Models: Perception, Knowledge, Reasoning, and Multi-Hop Reasoning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:23.728013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:23.728013Z digest=sha256:81cb5ec84fa4639a934d642b4c31d0e5b8b3ea78635f1730b1081611063e4f6c

Observation 4c852993-e185-4769-a192-ca990e3e4728 · outbound

This paper cites an unresolved cited work.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:09:24.769823Z

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.

source=arxiv_source observed=2026-08-07T05:09:23.812478Z digest=sha256:41b7d68e7ca5246d18d2331c7a21cd984cd756cd223b96177de82ae3fb981b00

Observation b55daa42-dcb9-4598-b6f7-af149e0545d6 · outbound

This paper cites online" 'onlinestring :=.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism online" 'onlinestring :=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:23.911059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:23.911059Z digest=sha256:54d79a0510965ccddd5f5e8007b4e77ea36982b187a686b1ebac4bdcb7515ba7

Observation d416c5df-3027-4e69-a81a-896a28d1c2ca · outbound

This paper cites write newline.

VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism write newline

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T05:09:24.020605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:09:24.020605Z digest=sha256:7fe980ae9208fb84887f6e617ab57706af3a43ea5674026937ada21fc48b4707

Pith citing papers

Observation cc0b75d9-5201-44ca-bc33-ab92b9cfcfb7 · 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 VReST: Enhancing Reasoning in Large Vision-Language Models through Tree Search and Self-Reward Mechanism

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-07-02T21:37:25.290672Z

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.

source=arxiv_source observed=2026-06-27T19:36:57.231932Z digest=sha256:03e7621f0102627a49ce856ede9ac176db4a08b661dddeb5dfc350191b2102a4