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Paper Citation Record · LEDGER

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2506.08927.

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

pith.paper-citation-record.v1
2506.08927 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:01:21.184206Z

measured 32 of 32 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8799ada9-a94e-471d-8b55-d91c178c52a5 · outbound

This paper cites Qwen2.5-VL Technical Report.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Qwen2.5-VL Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.179430Z digest=sha256:589b488ab7d232d39499c79166ce06a9b1b97df524d4d0a3c7f9bcfb773c5db8

Observation 021c1266-5ffa-434c-9544-a979798b7a2f · outbound

This paper cites an unresolved cited work.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Unresolved cited work

Reference 2

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.249530Z digest=sha256:831a051fa443087eeba069db20872583ddb0fef5b3a772d7953c97b6f6e4bb75

Observation 456b7eb9-df18-4fee-81a1-718122d047f6 · outbound

This paper cites ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions ALLaVA: Harnessing GPT4V-Synthesized Data for Lite Vision-Language Models

Reference 3

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source=arxiv_source observed=2026-08-07T05:01:18.298970Z digest=sha256:3250a67e68c8e1a50ad9b74cb2e75964718c5fcc40b5949dd3a729918a06b96a

Observation a728207b-fde1-47cf-ba37-eca1282e890a · outbound

This paper cites an unresolved cited work.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Unresolved cited work

Reference 4

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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.

source=arxiv_source observed=2026-08-07T05:01:18.342549Z digest=sha256:2c19400d574451071892d5fccde08bfabb39437de6134d179bd739893667a220

Observation 2fe753cf-1618-4d6f-adcd-7083d3b2b1df · outbound

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

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 5

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.390954Z digest=sha256:158530cb316fb2ddc0c809aa9e29d0a5b081a3b91288ed04739efefa778a93aa

Observation 91bfbef3-8b6e-4bfe-80ab-938eb4fd55cb · outbound

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

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.457211Z digest=sha256:e9d35c4f698623fc5bbfa32d1a82a641138de6648e58f664aab489f24980ff36

Observation 52774507-4901-4a91-aaaa-74c470e539d6 · outbound

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

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.520169Z digest=sha256:f93ea3b02a5253899d835a27a7ab18c30c9568c43be44f2772a8a5eb1b0d42cd

Observation 47cb7cac-e3db-4792-9528-6da682dd11b2 · outbound

This paper cites Virgo: A Preliminary Exploration on Reproducing o1-like MLLM.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Virgo: A Preliminary Exploration on Reproducing o1-like MLLM

Reference 8

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.587114Z digest=sha256:cb16e7e9639f61f7ce3a8756fddd2f792fb15d6d1c0aed572dbf8c883133e3c3

Observation a04495e9-7bce-4259-89b1-6e93e3866fff · outbound

This paper cites an unresolved cited work.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Unresolved cited work

Reference 9

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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.

source=arxiv_source observed=2026-08-07T05:01:18.652037Z digest=sha256:dd2aa1764d8a41547d48eb21283626274de6e6ad32c80a921f5b4ef90a5c3be6

Observation 37401fbc-e87f-498d-9c1b-9519b094ab57 · outbound

This paper cites rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.720845Z digest=sha256:252b3930cfff5841675552f9c8b7728aeb0c4864696c91b1d4020092cb34893b

Observation 7aa147bd-d493-492f-83ed-9b13a8fbcb7f · outbound

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

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Reasoning with Language Model is Planning with World Model

Reference 11

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source=arxiv_source observed=2026-08-07T05:01:18.792112Z digest=sha256:2901bd3d0d02d099a2a2f0aad8b45e1cf1c27d1db3abbc6e3a1b3fa75a92db24

Observation abeab290-d4bd-4e9a-bfae-5add6b37d837 · outbound

This paper cites Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.854942Z digest=sha256:7fa37b029b677d57ceca3c349edde6c26ac4c04fd0b89771866e359436444302

Observation dbcbf7ea-6be2-43b9-9ee3-3580ad3cb8fd · outbound

This paper cites Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.923359Z digest=sha256:c90c8af112ed7a9327d2658c203d384b9d6a2eb57971cce99befa5adfcc23ff1

Observation 0035e2ed-0752-45be-b0d7-21573ab56eba · outbound

This paper cites Decomposed Prompting: A Modular Approach for Solving Complex Tasks.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Decomposed Prompting: A Modular Approach for Solving Complex Tasks

Reference 14

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source=arxiv_source observed=2026-08-07T05:01:19.013514Z digest=sha256:f21673e9bc47ffb700a82b673d7680317af709fe9c7d44e3dc44ee682e1d4e24

Observation c11b975e-13a2-4e1c-a83f-9415901ede1d · outbound

This paper cites an unresolved cited work.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Unresolved cited work

Reference 15

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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.

source=arxiv_source observed=2026-08-07T05:01:19.072252Z digest=sha256:6205be68eb9cb9e9bfe514f08d1a44cecbf52c983de1414c5cad1497f7784e33

Observation 05551319-c3d4-4427-bafe-d30ec53933f6 · outbound

This paper cites LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception

Reference 16

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source=arxiv_source observed=2026-08-07T05:01:19.132401Z digest=sha256:7d2fcbd321d45beffebdbee3763264cfdd55277de08959fbe358efeb6791c317

Observation 30af3c01-aba0-4957-83e0-8056f9eac738 · outbound

This paper cites Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves?

Reference 17

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:19.216357Z digest=sha256:583e9ed179f560ae64757d04baa9e8ca7c3838f93e48fa577d08f426cc2cc231

Observation 88a83540-f3dc-421f-9312-d1970f605683 · outbound

This paper cites an unresolved cited work.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Unresolved cited work

Reference 18

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verified exact
doi, observed 2026-08-07T05:01:21.425340Z

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.

source=arxiv_source observed=2026-08-07T05:01:19.285650Z digest=sha256:9c13cf3e90ff1a79573aa4c21db6580eb937adad0db68f27498edcd288a6d297

Observation 6535f3c3-f3f3-410c-addb-de6dcf3795fe · outbound

This paper cites ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models

Reference 19

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source=arxiv_source observed=2026-08-07T05:01:19.371511Z digest=sha256:6c2ef67eb00803a8a3f41d8e17de51ac517832a079ab1b9eeb3bb88da4882ea9

Observation 71941814-d354-4509-8c92-2a79360341e2 · outbound

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

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts

Reference 20

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source=arxiv_source observed=2026-08-07T05:01:19.450229Z digest=sha256:80c1fbba31aa72f75b9d4ee55b0f96bc7c4c386d41d5fc12a031c86ec6eda1d3

Observation 5bcc79e6-ddcd-4988-998f-0c7c3e826caf · outbound

This paper cites Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning

Reference 21

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:19.530696Z digest=sha256:670701172a2521c99bda1a287e1d711854e45c8ed6116db519eda410bf61e6a2

Observation dd513454-08e9-430a-8561-f575608ed392 · outbound

This paper cites Improve Mathematical Reasoning in Language Models by Automated Process Supervision.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Improve Mathematical Reasoning in Language Models by Automated Process Supervision

Reference 22

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source=arxiv_source observed=2026-08-07T05:01:19.698768Z digest=sha256:c60559e998e8e1aebf06ca455e77984ca68e5b2902e27698a542b6d4f1d08ac2

Observation bf1880ef-db5b-4948-b53c-66fd3a9d6ef7 · outbound

This paper cites s1: Simple test-time scaling.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions s1: Simple test-time scaling

Reference 23

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source=arxiv_source observed=2026-08-07T05:01:19.843297Z digest=sha256:158795fb56fa4912281ee6d01ec8b564633705993339d425f002ef092ba97312

Observation 1a0f5c3f-f7e5-4ef2-803d-2baae5f5a11c · outbound

This paper cites OpenAI o1 System Card.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions OpenAI o1 System Card

Reference 24

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source=arxiv_source observed=2026-08-07T05:01:19.961186Z digest=sha256:4b285e94e09b59465ceb11ba46d8b4cda97bf7865299a34e5cbce4cddc3f694e

Observation 7bfb8863-0cd7-4576-9021-d7abd028e4a2 · outbound

This paper cites Question Decomposition Improves the Faithfulness of Model-Generated Reasoning.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Question Decomposition Improves the Faithfulness of Model-Generated Reasoning

Reference 25

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source=arxiv_source observed=2026-08-07T05:01:20.121242Z digest=sha256:c434081a959d8c3c76c2b326838b1c4cb928f4ec1d9c44ce658be5c5e8161539

Observation 21518bd4-e302-429c-b012-7df789d2c5aa · outbound

This paper cites an unresolved cited work.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Unresolved cited work

Reference 26

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:20.300315Z digest=sha256:c253f768560316416954cc3e0fc77a7aad0c5cd4b8f62d04270af8f1664493f1

Observation 087b4ef5-85d7-4553-bb5f-ca2c6e4f167e · outbound

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

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:20.446667Z digest=sha256:b2d2e0aa0ef22f800e63faa78fc9b23afba4c8aae2b6c2440c63f54e810f3d03

Observation 2cd5b145-e339-477a-8158-83e487a0343a · outbound

This paper cites an unresolved cited work.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Unresolved cited work

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:20.575947Z digest=sha256:e82a5b481f42b09854e519cf74f5b75ea9dd793e720b6cfa44f45c08943fb651

Observation 506eadfa-d4d1-4cc7-bd57-e37a7307fa8d · outbound

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

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:20.720880Z digest=sha256:d034b17d68117f5dc724174206d32739945b62de275eb5b3479770cabea58eae

Observation 9f7328da-719a-4afb-8784-6994ebcf0853 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:20.937013Z digest=sha256:cbc9830200095ea1cfde8934694b91f3aa1d9e90f864ba2199182d910c5ac1ec

Observation c3905b1d-bd9e-4536-98bc-be3b379a6078 · outbound

This paper cites online" 'onlinestring :=.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions online" 'onlinestring :=

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:21.057165Z digest=sha256:bb47b516cee45e7526c045ddd87d810be5eaed6391e3c14838d9b3480c3551b9

Observation b02660d9-b3f5-4d22-9286-5a85bf9cfb70 · outbound

This paper cites write newline.

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions write newline

Reference 32

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:21.184206Z digest=sha256:92ff630946831b6d665eff51beecc9d610e89fb62a562c90bbbaff09ede24283

Pith citing papers

No inbound Pith citation observations are available.