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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
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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=sha256:927f64fa618aac766469239b2197e36d9c8dc60996c7877ef80444e3a2ff8bd8

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
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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:cbabdbd09fbdd057861dbe7393a2dd41eb148bfee3c9d7063c5c8f8434cfde7f

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=sha256:2f9db5f054efc67523c37a0504d2b285c4588b5462a82eab5714bff975cd6cb3

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
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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:f6bc5686af7be58c645b77e397bb8fc10c76bec88d43ce635844ababfdc38e1f

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=sha256:05f74bbc45f3c79d08ac292798a8134db58e884f3a1b46a448ebd292e292252d

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
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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:fb1683f169bac110e2c0a5d46fe1e195f8990725dd23bd54379bccb2e26c7b4a

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=sha256:87936fe49a89245309a1e7ea691d59755348b51bf52a83c4ac2ce480f06c4f90

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:b656de861300d54ed920d31d6f1047f0dce00b7380594066645d0949590c06af

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:eb838c734d3156a3ea513e029a52d60ebe7232de2e8cd61ca7494c32d0a91cbc

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=sha256:38a29fe2ed1a9f4056f5ffcd7453dd8fe9a14515fbade1466685bbea2a49a2c7

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
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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=sha256:756aa8717d64e11efaa7226dae85d6a09d3ae98d012a6c85def58e013d20fd75

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=sha256:854fb3f7f1fa9388b2b87ab5b2c690a9f9c1b6db98d75121b45d96b36add3bca

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=sha256:91880c18eff7de7ff3350bac5d66fa815e2b6afb0153e0c943cf13c32b72cca7

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:bc2bb0984dc608e87d351058daf2afbfc1ccadcdbea21f7f06616493c4217c91

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=sha256:06a21988c4b9177f225282f0acc4d8fb7cdbfc6e8b3f5a468f120524f13fd1a2

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=sha256:5cb36978faab9ca21f42a7dcd03a21443d7a7040e189536789fc8918020bd165

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=sha256:52e6f23c960bb9dc444ba3c6c6b7cf3bb54781ea99a1f4f4c5f8df88950158df

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:cc7f9348d44480ddffbd89dc18c03ca04fbb0a379e5bbf12b4fad7ca212f31ed

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=sha256:853494dd220be813446c2634b012f257fd9734b9b0dd9980e052a4baabe70780

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=sha256:2065570335bfa469e0db18ac47cb7dabc581a3c0f0f251cc951a7f6e88e79609

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
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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:bc0699dc2b6faf293ed5cb317d7fdc59df6362573ea7c384afb631350b34ca20

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:e2985378856103407a7dec60ed578fbc1f9b5a1b5de46b7c60b608a57b388c0a

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:db8c8cfbb9db43986de7716faa2aa59bd3a39356e34e7d8c6836a3757645fcd1

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
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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=sha256:005a89951a2816e8b23cf63335c74981cc984ec4dfeb49b5cf8d4f544244353c

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=sha256:4b56e4af49775986f51a6f21495ce9d8b46c8812723ba7102bf6161a42859a1f

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=sha256:4135defbd54d0860be179d23d26736caaad668655b77875e780b59099c6ad72b

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=sha256:3646638c05413f384152f2d30f4407e600f8b4113628a8ba8feeea4f4bf05c6e

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=sha256:07fb193d89030999e6aa10c478ba45261bd91c9f069dffe9e3f75d306ba81aa7

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:f867b1af48370048f807476eabe2523607e40bbc5b377d503151c7814dc9a5d5

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=sha256:831a7e2f24fedd3899c0dc716bdec32b83baca57ea066bc128f6306459df8077

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=sha256:87d64bf0ced3934be58bdf9782e3b5fa5cf92d26abe99b3565121b918a17ed1f

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=sha256:505c23f0bda6257527f67b61ffb4eeec6096f82e665474235a021628f1f3f7b1

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=sha256:8df77cdb679c63689ba8477e0cb8836b6de9e20d43bc5ae285d462e904c2c5e9

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
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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=sha256:4e1fbfdc1733b9104b49ee91719a9e7eeb87ecee34bb6ab7b2184e4bb3ae6d5a

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:aaf5276dc911e108a80dbf2f3aec1429e973fc921f555e77eb9d1cd08c244cef

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=sha256:5b44c9d0a71cbbf988599a4e21f7fa0a8296882a8661435a8886a60a861865a2

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=sha256:33dcb3a13c8fb85f49f7a67787a3fabcc73e14f2bd5ad6c3d1226647fc5c1340

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=sha256:7bd21e35855387e296b1204125a6a5c80141117e930da66f55163115bb74b7e0

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:f1f16c425a301eb1c080a95a7a2c577a2eb5c1195336cad350323cadbd8a3d2b

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=sha256:7e888799ab4287b7eae5faaec252b40fdbe5be56cb55e7cb534f39087c842685

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:fc9a1ef70cdef7c7ea62d1779940ce7c8971c95295d2e4ba26b5aa9849fd8f8d

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:bd3da8abc0f8bc47a1d72c8b7599a04bb91bb2fbedc3ba38298c7088aaa462ff

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=sha256:9ade1e9b0152494dea77d1700adfe61613a0c210d379706e1ce9452367ff8ebd

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:a7e41e3e7bb6da7f20b11b52bd136c28fea76b6fa08f296058c5866d5699a950

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:a0be717b47e6bc02f0fe8968d3213e8fdbc4abd2734d542731d3624ad0baf1b4

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:a3f9ecad6d218275ad55cbb5763c86d003b86418179b1d1cda4d6c280fac71ec