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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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=sha256:04c81be4f7c2d315b1625d3075bea3d92b3fc9a7a5e1dc99377a5d165a360ae1

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=sha256:54606815ccf45fe44e8eacb34f376a478ba90125928bf7e5e7237dd9dc18cd85

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:fac4ba2611963841f4fc51a81b0b264416d8a335c9fd90ff4b2be470329a17af

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:01:18.342549Z digest=sha256:4b1bfbd1630c7a688da3bb4546d3d294b5a94d698d154c018afd3cd3800994cc

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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source=arxiv_source observed=2026-08-07T05:01:18.390954Z digest=sha256:6e96a27d3f05c128627537ffabc7072d4788646307d81480c95fe54e0198c008

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:fa7c23cbee612fde6d7cace228c8970f152f4ebeb2903643e5bc981e9a473c61

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:ef06ba8f02b9e4f3a5f2517d89f034fa30cc019e12893b4973da0de208224e05

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=sha256:45bd93674448808ff675e120c4b043c3463c2748d94051f6af7b52bd4aa43e03

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:01:18.652037Z digest=sha256:eaf116d763f6c0baaf32673756ab83fbe9cce97b51d8ee4dd33c55d416785e0f

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:b9c10dbd66501e29becd784b280e5fdb9631bc740b8a4513c783fcb7debb0b02

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=sha256:16fecbe95984d9462d28cbd4dcbeae68eb52bd1af660f308a24a3517f65c54e6

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:18.854942Z digest=sha256:fd6416049b78233d4de9017186c5c05dad5da51f3299846963f53c2127dce348

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:d79b90167ea85ca16347afdf563598f809a3f1abdc5447a854dbcbc7b41f828f

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=sha256:1e1d090082be5a23f11c0a4a9cc2e81b17b79a3e49807f7c0b93775542b67253

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:01:19.072252Z digest=sha256:9224e3f74de5a9f5790cfdfde1d0e60495a602a9dbc5279d64545877123b2fac

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:01:19.132401Z digest=sha256:bd7dd0b1a068d774b603ecdfcf629cb24bcb97dc4e5553b7cb58dcba632cedda

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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source=arxiv_source observed=2026-08-07T05:01:19.216357Z digest=sha256:1349c5e568a129f1cdc90b76e7c38d075b671dbe4d04752d503381bd628634dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:01:19.285650Z digest=sha256:7de0e45f25ecbcef96ff119a97a7e169d7d7b1f803e2c8b3c8785e289e1224f4

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:fd03d32098f3bb8854736a7fa00aab12d5a9c770eef3b6e87f556fc4dabc6ff3

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:be5b49c2201beea17dbe00da3a0edc19f1235b4b65ecb0c3fcc6ba047aa2d0a7

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=sha256:37629325e6b666651ec9cf4aea92788fb9587146a83c71876f77aaaf3194a00c

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:d636752f33f5c17b88cc5c2b7624ab0bb1257e6f3a0e90284375f1b80362e7bf

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=sha256:9101d29b88058c27ef6af3aeb3804502039c465fb04db1e9c53f30bebed41410

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=sha256:56c30dd900d1b716f34956cb5c76f7ce6596dd61cea95b46176ff715265ba4da

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:ec3a1360bc08cae089eda2aadb7982680e5385f5695586ce55dadcd0c32ed64c

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=sha256:04661d3ccb591ae1261e14a152c511201420937a00fc41d655130bac10c679c7

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=sha256:8777f44a9e4f88f2855f924bbc209b96d3c00b136dde16ba284394a96907f93c

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:d2603a7377161884ecb49425d651f2edaca1e3404167df55e4d64b00a9906345

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=sha256:81f3944a911eb138a92991f80e0ace703db5dbe619477dec7ef2a16fb3279615

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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source=arxiv_source observed=2026-08-07T05:01:20.937013Z digest=sha256:db41b67e8ea4c01d1be54691bdd67e4368c16be2fe10e523323abfeb2dad7f8f

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=sha256:52567fafbe9de60e4568307fccdd82ce0d70e38ab4b09bd741717207923045b8

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=sha256:294e46b8bdcfc1d8762d9cd6ac95e0bc9fe3fb015271b2de39ab95e5c7376ce8

Pith citing papers

No inbound Pith citation observations are available.