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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.179430Z digest=sha256:853fcfa60f1d400fff32d7ff5cfce0a58a552b23758f95adc0f44588dc3f4c2f

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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source=arxiv_source observed=2026-08-07T05:01:18.249530Z digest=sha256:a88156e161caf2236cf39df6bde34a3b326910739a2847e93dc26a86d9d918ed

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=sha256:27a97e752d4646a833c6e633c0feed050b1329542e4dba6d8fa53fe35e6a1590

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:01:18.342549Z digest=sha256:31e03524dec41a59bed6115fd03bf9c759c025b6fb02eb7c2ff897580770ad75

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=sha256:40423d7d083a9b659d8a2688120b5d74de9a6bd34bf6fb9e11b9cbc8df77b73b

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.457211Z digest=sha256:65956456df85d3d91cdda14c2d73c2e4cab79452009149531ec284522ebf803b

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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source=arxiv_source observed=2026-08-07T05:01:18.520169Z digest=sha256:80272c71e02c96762125af44a3aeddc1d506b850d937270b41620933586c8a82

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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source=arxiv_source observed=2026-08-07T05:01:18.587114Z digest=sha256:05f2c5f0fc6696cb11426b238a45371cdb21505a4e9996e9ea30b720103cf98d

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:01:18.652037Z digest=sha256:7e55d5aedec9a9260fd6a9c64d44d17ffa69abbf1ab50acabccf1e986a00a076

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=sha256:9fefcd51b1b97f7f8ca0f09ffa48259eca5c52edd6093c7ba38ec8051b7cca34

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:b13a159ada56838205a99fe0137e641d7f20d71406e000141f5b7a2330d44988

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:f266d37605e36acd8677a93fec7ae289832e02612ad27599e9c28cdb819bbcbe

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=sha256:1d3e047d27615c4cd8d8f3f664ed1b739de31bab06299452c7daa3afffc9f2a5

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=sha256:7a6d3a59b5b2b266ba707bb08ea661af8ea232b996d84d088a95b7cdd2b08352

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:01:19.072252Z digest=sha256:a2ca53613a0349d983ad7b0ff16d0a2e1b942dee771a48cbdff6ae03dd87d505

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:d0478242bf135dfb7e1f518f6605b740bc2779f72c5db564b0ff19ae685d4583

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=sha256:7826ce2709ab8125506be3bdcf0e56934bcfc2703decec0554e9589820163306

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-07T05:01:19.285650Z digest=sha256:178ed41a8adae66cb384726123087189d7bfd655cf8797a0525bcdc9fd7e80dc

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:b29ccc40a33758cce0a74970bb0b622b60b378f620f881e606f991942d0a642b

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=sha256:17b25b9bde1f2215840d26e89b636656ecef66e4e6ca28c1abc29287e27d2ef0

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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source=arxiv_source observed=2026-08-07T05:01:19.530696Z digest=sha256:812ca523dfcb0ce93fc776b0339c0a4a6da0d8ccdf57844a34bfc0305f635a41

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:ccc8917f9f53cd892901e579299503a3ae29ed165d9f9b2b1c927101743aeb79

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:b7ea27bc0316934586495b02b5261f6d62bae1a3034ae93e25b1f78ece2e9ca1

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:c72aa2eaa58011376d5d1ad9fcfa64222a42ca471048060ae04741de698960f9

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:a0ba3922954f1ce9a262b36a7b1681133b850d6f9bd405b764b69332afc9760a

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:b9354722ef7ed69f3262635d7bae7f7220e45d228d677eda35d36d60984773bf

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:b15f1c539a7a5333c6272b359be7547a02d8265b49a9ab4e750f95c090407e8e

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=sha256:6c9dc98aa91816c602996c6e82675a1e6414a8c30ee88c5fb8683b69946d3b0a

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:20.720880Z digest=sha256:51a070cb9189817caecf82ba675243db626428bb4fff79cbc74a9e1dbcb04c83

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:c41cdbd30e1928f5320994e9fcc4d37b1675ea25a1232e190df9f7fead514d89

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=sha256:9a472c80b94f7698f87720b4c6d67e7e658d660f193bcf20b46e91091f9c1a4a

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=sha256:92668e4ca77be0e87466d26dfb8e5afba51e6a2fffdcce3a39ada681ec278ea5

Pith citing papers

No inbound Pith citation observations are available.