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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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=sha256:30a1e69db9a511ddbb36a961f0d33daf49a831d39a5e4187bb9916d60533a10e

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=sha256:3c956d3d62c7f66499cd33f34049786f7a410cc72ff107cb60c0a27a7969ab92

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=sha256:710c0f2022554d596127d59ee3d0f1735e82bdb6d811e8ab41a5fa3f7b0a1862

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T05:01:18.342549Z digest=sha256:35f3defb2e2058534eb04342f06a6ecaeec7648939961c5aed025f537228be59

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=sha256:9200e5b5f3c51952c53900cdc25f0e796400eb7153d771ad35d521ee98b8dfdb

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=sha256:4503c049b2cf5b742b2e3ad9302fc010896592cc15bfef93bc453719e42070c6

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=sha256:86e34b6141b4d1c30d62b078a03e1fe49a3ce5f0020e4f88e4c973965b3b48f1

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:d6e05a22bc4917219f3dc05a774b4e5f4b9ad376766e1b8338aa1b7dfa11e2d0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T05:01:18.652037Z digest=sha256:be2cf0c39142edf603be028b432c0c37132b3f59d48ce4416b7ba97b1f3b91de

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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source=arxiv_source observed=2026-08-07T05:01:18.720845Z digest=sha256:b5ce66f080152f5a3dd9bcaaae8d0f4e5258db21a42db66cbf2f05d4c458b26b

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:ce6c9ed549ad7dc3235ab223874063a959ebe19cbed0e2c2457c74dd2c97e4b7

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=arxiv_source observed=2026-08-07T05:01:18.854942Z digest=sha256:c0c24d3ce970b27ceca6573590bc429f0633f52fc8c9c1deec8266f03f08153a

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=sha256:1d4dace526876eb7f289026bb03dc615b450b6c890876c5dc58884770a43fe2c

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=sha256:247c126f1462a0467ee4845af964b070a84bca510607c13cf22a7a75a43005c7

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T05:01:19.072252Z digest=sha256:7322cd639d37727d254e1bfe710f9ba7186e3aeda952783b9eea6c78ee337024

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=sha256:29c73ecee301c58f67c83d9ea3ade18e14c7021e233e003ba31dcfd9766ca027

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=sha256:1820be13661e569ffc10b9d851dc4c63b390abef88304e29a5b8f8a55a818071

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-07T05:01:19.285650Z digest=sha256:726e7cafe41902ab7e1636456aa8bf2831886c118edf81811d473caeb670cf18

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:e949dfce02fab4e7cf019ce3edf9cde867af208941dc5ef7f3d6cccae546e819

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=sha256:618f8485253ef11e1f4ad03eec53c42830b04a49179409a4196aecfcfec1046a

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:e033251b8ee0ec5b54e82e35bd1909c5e072552791701f2192c9d3f634e89e74

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=sha256:9fc4c9dfbb96231adbc92c19dc05018c173e437e0d148c8b18818086e208d801

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=sha256:9d567569a77170e2f0eee925c81a14a9afa7be89b98c71ab41d7473c27c41693

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=sha256:49032186f259f78bf97450f817804a49d5cf898a9a73c1bde12b9c02de7444f5

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:ec4ec3107506c4cd1a698420419028e452ddd3d71bfcfaf3d917b698b86f31df

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:c4f09b7f41f66840eee7237ecd8e438c325e74d535da75d37733f216a84022ba

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=sha256:9c2bcf4a78183a58469831534b93cc19176a4807fdc13a0b4504f58bdb979994

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:e54eb66ee986eb239e28c2d556548af13a282f42a0721a1073f1e0210b48489d

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:ba1d5df066ee76bfe0112c6206a551d1da15aff04d36d70889c0152e03b7129d

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:b8b2956c2e523274cc64775e978f408b9f95cebb3a756ccea5e27508abea0f69

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=sha256:2897b4bd88f7490b4ca9126bad6a097087599b066cc7321d7b375c669754e40b

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=sha256:80feb13a32e74f401141685d78c185e39c7eac2564aad20b2b2980e61bff26b7

Pith citing papers

No inbound Pith citation observations are available.