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Paper Citation Record · LEDGER

Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 45 inbound Pith citation observations for arXiv:2406.07394.

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

pith.paper-citation-record.v1
2406.07394 v2

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 45 of 45 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:09:15.440023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:59:56.438855Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9f48eb8c-5b7b-4570-af46-5120351b06a9 · inbound

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search cites this paper.

Efficient Multi-Agent System Training with Data Influence-Oriented Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 22

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verified exact
arxiv_id, observed 2026-05-23T04:07:30.446605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T04:06:23.521344Z digest=sha256:bd40e3d26f0b16653be88706ec2a463051e7ea00c8f1ee51205a958db680dc81

Observation 8ea1cc25-cc61-439b-a26e-3aa6baf3a731 · inbound

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation cites this paper.

BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 43

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T17:09:15.440023Z digest=sha256:852b7f95245af699a523c14cda18cd299a087214f6f3ded104ffa64e2c8b45d2

Observation 9d906bf8-3416-4a1c-8468-9b31bda25ea6 · inbound

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information cites this paper.

LongDPO: Unlock Better Long-form Generation Abilities for LLMs via Critique-augmented Stepwise Information Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 54

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no resolver link, observed 2026-08-09T13:25:52.142851Z

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source=arxiv_source observed=2026-08-09T13:25:52.142851Z digest=sha256:b1a2ff47d0988069c90e31a7e1f4c1d16d2870a379eefa33cbac78d01d6ee2f3

Observation 59fb88ec-0b79-46a6-bdbf-8e746a0419f3 · inbound

Iterative Deepening Sampling as Efficient Test-Time Scaling cites this paper.

Iterative Deepening Sampling as Efficient Test-Time Scaling Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 25

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no resolver link, observed 2026-08-08T19:23:26.666844Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T19:23:26.666844Z digest=sha256:b7f84355acd0d2aa083492da3463dd2a14d09f67bbb3faeae29ab5ed870fc83c

Observation 388520e0-f5bf-489f-a245-0ef8e55cbf75 · inbound

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition cites this paper.

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 85

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no resolver link, observed 2026-08-08T14:25:53.627005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:25:53.627005Z digest=sha256:c945874be7202a998d4de19268415858923d5038d8c94e41f81ec565733f3907

Observation 8a13240e-41eb-404e-81ac-4325f7b9552d · inbound

CoT-Valve: Length-Compressible Chain-of-Thought Tuning cites this paper.

CoT-Valve: Length-Compressible Chain-of-Thought Tuning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:57:42.155516Z digest=sha256:e8fcd22533c58c31850d3873f14f87a03f4e3a3b0c401c50b96bec71083e0e13

Observation fbdd7186-1d5c-4594-9b3c-07948ead76ed · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 133

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arxiv_id, observed 2026-05-13T01:36:24.068130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:a19710d94371a6c82836f392f4a39f1c68fe9d851900a820a66a08aff2306395

Observation fb9a8d92-a6fb-4231-9b1a-804b31ec998f · inbound

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning cites this paper.

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 47

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source=arxiv_source observed=2026-08-07T14:45:19.883202Z digest=sha256:346eee485326be08901e3e79d3b7e87b559fae2f633df2b0eb98931dd673cb7e

Observation 534d5fd5-3165-403d-b888-4f26d9ddf483 · inbound

Reward Model Generalization for Compute-Aware Test-Time Reasoning cites this paper.

Reward Model Generalization for Compute-Aware Test-Time Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 47

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no resolver link, observed 2026-08-07T14:42:27.571108Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:42:27.571108Z digest=sha256:40894af750139df0b28d6bd9e1c47acc1fa5c660da707426ed90a8fbb7c1ffe2

Observation 09018947-d197-4ec3-a286-2c45244e782e · inbound

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations cites this paper.

Scalable, Symbiotic, AI and Non-AI Agent Based Parallel Discrete Event Simulations Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 76

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no resolver link, observed 2026-08-07T13:07:52.450733Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:52.450733Z digest=sha256:1caed94527b5971cadf1e2c2135eee78505b3ddb87f088e04c4feb4df180a490

Observation 94c2f9b8-4880-4b5e-b3bb-67c0bf3dd9ec · inbound

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search cites this paper.

ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 46

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no resolver link, observed 2026-08-07T11:58:52.056824Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:58:52.056824Z digest=sha256:ade5c4ad15878764914117f99fcaede7566ef766d40773d63db073bbfdc7a9d9

Observation 057544ce-c1fd-424e-8c75-9afc25f28b49 · inbound

LLM-First Search: Self-Guided Exploration of the Solution Space cites this paper.

LLM-First Search: Self-Guided Exploration of the Solution Space Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 21

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no resolver link, observed 2026-08-07T10:28:43.232110Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:43.232110Z digest=sha256:986e2a104ef34056b0d1b35cba8aa5cbb43805973758bf0cd3b965114fc7a01d

Observation 4fad4418-7641-4ef4-ad2f-7d40574699c8 · inbound

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models cites this paper.

Detecting Voice Phishing with Precision: Fine-Tuning Small Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

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no resolver link, observed 2026-08-07T06:03:45.165815Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.165815Z digest=sha256:698a2fbdad80031a4a4517fea47474144d38252e06654dff485af4aa9fbf1fe5

Observation e2c6b26e-99e2-404a-8ff1-d6eedf388ce3 · inbound

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition cites this paper.

SELT: Self-Evaluation Tree Search for LLMs with Task Decomposition Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 21

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no resolver link, observed 2026-08-07T05:38:33.952668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:38:33.952668Z digest=sha256:2f0774999a8467eb0e39922efcdff5dc37265a8b223abf43556c20e0691b2a57

Observation aca6c052-7370-41b5-9be1-b61b192335c7 · inbound

Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search cites this paper.

Evaluating Multimodal Large Language Models on Video Captioning via Monte Carlo Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 6

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no resolver link, observed 2026-08-07T04:45:49.655855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:45:49.655855Z digest=sha256:137665a99ceed81ea3df3396a6c4930e2536f02a58f557b0a3f7cd2b83557c12

Observation 09eabde7-cfde-42d2-ae9c-2ad25a992f67 · inbound

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine cites this paper.

SANGAM: SystemVerilog Assertion Generation via Monte Carlo Tree Self-Refine Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 15

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no resolver link, observed 2026-08-07T04:52:57.680654Z

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source=pdf_text observed=2026-08-07T04:52:57.680654Z digest=sha256:f1556f78a68de59c37e73d89b46e8079a2ad655c305f1f7ab5106b381b83d0e7

Observation 0ed12f59-2c2a-4be0-9baf-e34ad72ae4f7 · inbound

DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning cites this paper.

DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 35

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no resolver link, observed 2026-08-06T23:35:36.214815Z

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source=arxiv_source observed=2026-08-06T23:35:36.214815Z digest=sha256:196e6d896e2ba7043c3d9e7cd658458d9e15088c049d654a37174768bd30e797

Observation c19c2061-f94a-4c5f-b27d-eccf111c0e47 · inbound

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning cites this paper.

Boosting LLM's Molecular Structure Elucidation with Knowledge Enhanced Tree Search Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 45

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no resolver link, observed 2026-08-06T21:59:13.605541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:59:13.605541Z digest=sha256:7cccebccb1554f3b05100028063eacc0e0a0132730fbe7c5046b08d09f212c52

Observation a3101767-ba83-4287-90e5-94ed395b9614 · inbound

Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding cites this paper.

Iterative Zoom-In: Temporal Interval Exploration for Long Video Understanding Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 2007

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no resolver link, observed 2026-08-06T21:59:17.224605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:17.224605Z digest=sha256:e3544d51a5d78c61ac1894eda3ee1afc6c2e78884cfbdd002a57127838a1dd4a

Observation 52f14644-923a-4aac-9702-1f63c6eee755 · inbound

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique cites this paper.

EduFlow: Advancing MLLMs' Problem-Solving Proficiency through Multi-Stage, Multi-Perspective Critique Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 34

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no resolver link, observed 2026-08-06T18:04:55.362474Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:04:55.362474Z digest=sha256:dd53a6f00a14ac3f13d20baab56b54c23b4cc57b628fea5ed764eb74e27c4ce4

Observation 5aeb5db2-1b6c-4c40-84b4-26c61b1f9262 · inbound

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning cites this paper.

A Simple "Try Again" Can Elicit Multi-Turn LLM Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 30

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no resolver link, observed 2026-08-06T16:14:06.999304Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:14:06.999304Z digest=sha256:093877609bf1c6875ed30e5a3ecf57555cf982e5b98f9b898e8bb8ccd49cc686

Observation a1ecf1ba-7fac-4019-a561-0bda22fb1dce · inbound

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models cites this paper.

Step-level Verifier-guided Hybrid Test-Time Scaling for Large Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 47

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no resolver link, observed 2026-08-06T15:37:24.957990Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:37:24.957990Z digest=sha256:b31ed13bf2cda456f95d8c17aed6b4fa543d06cf0c809d4fcae993028fa39524

Observation 578c5894-73ba-4299-a386-f6c0bea4c18c · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 191

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:25.659057Z digest=sha256:499e1d13fca9522a612d418f6869adf05ee24d1bf51fd6f67c2fb6fdb7a84a37

Observation a78a6695-8d00-409a-b27a-13042f14688d · inbound

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction cites this paper.

Can Large Models Teach Student Models to Solve Mathematical Problems Like Human Beings? A Reasoning Distillation Method via Multi-LoRA Interaction Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 50

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no resolver link, observed 2026-08-05T19:12:40.852662Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T19:12:40.852662Z digest=sha256:a433e10f3e0e3da3550d4fe6845c5a95fadd74075e07c18722c04e58e5b2537d

Observation d9080972-003c-4cd5-a42a-33991ca544a4 · inbound

Efficient Graph Understanding with LLMs via Structured Context Injection cites this paper.

Efficient Graph Understanding with LLMs via Structured Context Injection Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

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no resolver link, observed 2026-08-05T13:19:49.719782Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:19:49.719782Z digest=sha256:0a1ce9004b27ebbe7f884606fae26dda0b92617b1b8b97c8bd8235fa3c70a012

Observation 7449f66d-9235-43f2-b462-499ca818af64 · inbound

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning cites this paper.

Parallel-R1: Towards Parallel Thinking via Reinforcement Learning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

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no resolver link, observed 2026-08-04T21:28:51.031284Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:28:51.031284Z digest=sha256:1ea1798f9abd2e237b40d0c3ba06def6f1643614d0dd056c2e8db794f5f0e608

Observation d77c79e4-847b-43b5-8876-1b723fa07992 · inbound

AdsQA: Towards Advertisement Video Understanding cites this paper.

AdsQA: Towards Advertisement Video Understanding Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 84

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no resolver link, observed 2026-08-04T20:20:36.977106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:20:36.977106Z digest=sha256:f7e0f8e5c62c198c5e7c92eac62fd6cb74581be591f3f636edb339348d2676a6

Observation 2992b6ad-f340-4065-85f9-89513ca16dc4 · inbound

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search cites this paper.

DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 29

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metadata mismatch
arxiv_id, observed 2026-05-18T12:12:35.888849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T12:12:25.437344Z digest=sha256:00ac80ba7892437a34e86c323c4f6cf93f6a56cef3e8314c83f37683394aaa73

Observation 93a4c9cb-934a-477b-99fa-9ff8a87a01e7 · inbound

Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search cites this paper.

Chain-in-Tree: Back to Sequential Reasoning in LLM Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 20

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metadata mismatch
arxiv_id, observed 2026-05-18T13:11:24.118440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T13:09:02.577020Z digest=sha256:17bc272a125bcfda46ae725434957f29be366e374351a1c585b1ee6302ecdbab

Observation 6c0d1bf8-6d4b-40f5-8553-125b013568be · inbound

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency cites this paper.

On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 36

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metadata mismatch
arxiv_id, observed 2026-05-16T10:40:51.323576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T10:38:09.875786Z digest=sha256:47eafdbca88a0f4607627222307e02dd1eed9b6c62abb8f2bb829b98d87929d8

Observation 7e203e4a-8339-481e-8f50-b0f2ab11aa5e · inbound

ProbeLLM: Automating Principled Diagnosis of LLM Failures cites this paper.

ProbeLLM: Automating Principled Diagnosis of LLM Failures Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 12

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malformed identifier
no resolver link, observed 2026-08-02T23:43:07.803719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:43:07.803719Z digest=sha256:f4e7205cb172c0ab4bd46b3a525d0b9c558fa366479f1c2dbdceb62395a271dc

Observation 5055cda9-a6f6-47aa-9e3b-c971250a8484 · inbound

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis cites this paper.

Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 14

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metadata mismatch
arxiv_id, observed 2026-05-10T22:40:49.917598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T19:39:36.819142Z digest=sha256:20248ba4960c9db44a5cfc83e848592282142f5c9c4fe5f8c07ea996f83c4cd5

Observation 8ec343c9-271f-48b0-8ece-0ded54885972 · inbound

Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization cites this paper.

Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 11

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verified exact
arxiv_id, observed 2026-05-10T12:00:22.141710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T11:57:44.680423Z digest=sha256:5cc03653fa245e6262bee4b6f596efe05ae3ed8b3a05642cbae5d1c49dedf6fa

Observation cc27ff90-df89-4452-8449-76557cec77f3 · inbound

Bilevel Optimization of Agent Skills via Monte Carlo Tree Search cites this paper.

Bilevel Optimization of Agent Skills via Monte Carlo Tree Search Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:18:31.365598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T09:16:58.661353Z digest=sha256:d7f8744812c3e663d4a7e575695887dc9e6bc56124412a7eb33718797907517b

Observation 5116dc0b-fb27-4961-a164-2ac2618dc397 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:25.785229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T11:00:21.413246Z digest=sha256:eebbbe9b6456516484273806e6d7528c1ee06975d4e9a4467cd917f78e947343

Observation 0a5e149a-ff73-4cf9-84a2-813865ceed17 · inbound

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling cites this paper.

When to Vote, When to Rewrite: Disagreement-Guided Strategy Routing for Test-Time Scaling Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T05:23:31.355740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:23:31.355740Z digest=sha256:3e42d9715ace20cd741709a8f40dce951a3ad8900ab7d1278196349a34f28701

Observation 1aafabd6-89a3-45ae-bd52-dc6db2eff0d3 · inbound

Online Self-Calibration Against Hallucination in Vision-Language Models cites this paper.

Online Self-Calibration Against Hallucination in Vision-Language Models Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:16:10.747659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T20:20:27.931679Z digest=sha256:66a0871eb918475e5b243f736784c977886c0b29fd1dba70e4ddff3c4f85282a

Observation 1bc86d6a-f596-44a6-b2ff-b919062898c5 · inbound

Position: How can Graphs Help Large Language Models? cites this paper.

Position: How can Graphs Help Large Language Models? Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:10:42.924197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T18:48:03.257015Z digest=sha256:5883acefee3ed2b44f8a3b2905fb1e950047f2b2625c1d06e9eb7ad1db4566b2

Observation b4e7df69-40bd-4c04-96a5-7fbf660f9760 · inbound

Regulating Branch Parallelism in LLM Serving cites this paper.

Regulating Branch Parallelism in LLM Serving Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:58.401589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T01:00:53.308946Z digest=sha256:765a8e465293a900e7d039172ed5fdd6b02f96229e3ba1f93d2aaa65096138ca

Observation 34b0cb2a-c2e7-48e9-9a84-4477636c9292 · inbound

Alpha-RTL: Test-Time Training for RTL Hardware Optimization cites this paper.

Alpha-RTL: Test-Time Training for RTL Hardware Optimization Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-02T07:06:44.169477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T07:11:52.187869Z digest=sha256:2337ff2ca498f848528a81b1f4efb21e17239d474bdfc0fe3e9bd9dacfcffd9c

Observation d91a1a4e-a73f-43fb-9ca5-7224ad972b65 · inbound

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces cites this paper.

Step-by-Step Optimization-like Reasoning in LLMs over Expanding Search Spaces Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:46:48.939754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T05:46:26.938277Z digest=sha256:c8364beb9270f3129c3ad3c8f1b33ffd4c09fc44f5158a9179fc0ddda26ead48

Observation ddeaee63-054b-49ad-bc4e-03eb1403b852 · inbound

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization cites this paper.

Optimizing CUDA like a Human: Micro-Profiling Tools as Expert Surrogates for LLM-Based GPU Kernel Optimization Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T15:59:56.440376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T01:12:04.486570Z digest=sha256:9c05ec842ef6b52d8211d308821946a7a1ca7a3ebd1d5237dc3df8242fcdaaf1

Observation 18396e6c-741a-40bc-8a04-f694d48958be · inbound

Scientific discovery as meta-optimization: a combinatorial optimization case study cites this paper.

Scientific discovery as meta-optimization: a combinatorial optimization case study Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:51.435978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T05:12:43.536126Z digest=sha256:2ede86c9868cda26816ab15415ef9b69743de1cd4491e70048784f26dfd1a0ab

Observation 9743939e-5216-4144-93a6-0009a22b48f9 · inbound

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning cites this paper.

Fishing Out Free Riders: Shapley-Based Reward Attribution for Parallel Reasoning via Reinforcement Learning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-01T13:54:18.136663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T13:54:18.136663Z digest=sha256:367471406792ebd80cdd6ae2a6f632f25dc736560c2a4d27403333483ce6aebd

Observation c3e9a9fc-6eff-4dc5-9c81-54b70b3dee8c · inbound

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning cites this paper.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Accessing GPT-4 level Mathematical Olympiad Solutions via Monte Carlo Tree Self-refine with LLaMa-3 8B

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T05:05:24.729495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:05:24.729495Z digest=sha256:20ed46892a0e2ab50a04161092d4579ed768fc54fb9493ea627078fef093c927