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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 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 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 35 of 35 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 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:28:43.232110Z

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

source=pdf_text observed=2026-05-23T04:06:23.521344Z digest=sha256:4707ffbf548fe394f157ef5583cd55ed01fa9c56aa487402386ca3d6d52959db

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

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:ccfb886478c4f2be51c03d302945c255d330f88c5ef717ae731bcbdc1b690ee3

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:43.232110Z digest=sha256:147e97989a97d5aa141a3dd0d4576d74677f5d969e1f3ca5e5a237c0bf54561f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:03:45.165815Z digest=sha256:2c688bec9951cb55d5fc6052057cc723cfc87e6424ea722431a2d7c2f071774b

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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unresolved
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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:45:49.655855Z digest=sha256:58120f1546f209852ac9289667d229f3fdaac5846342b1abfe4930320f93aad6

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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Unavailable: canonical work link unavailable.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:36.214815Z digest=sha256:5e051d11c44ea24ca48dc006fda9fac6581824f13c7904719499a4a270708d0f

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:59:13.605541Z digest=sha256:05916f0b803752749c1f662ec08e95f2e6bb80c99f8974ef0a34b6d0d22f3522

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:59:17.224605Z digest=sha256:87219f0eb800ecb0eda51c8ea91032cd02afe56cf82358320f871837664639d0

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=sha256:27d57f460fc12af63f6b907c9b9ea300f62fbfbf145a4fe2f83bb5b829a188c7

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:dd51c7b704863438a1ed4b9282c5e0814656ebd734ad0f3332e4d1a2b3ba3099

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=sha256:157d795504588451611389db8b45995374543ad95fc62e51f6d8c640a90b259c

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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no resolver link, observed 2026-08-06T04:47:25.659057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:25.659057Z digest=sha256:29a88754672731f0fc76ab8d05f1d98b16a81cb53d2a39496ae28e9783be7102

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

Source-reported events for the cited work

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=sha256:03c64afc28b73ca8cae02f8ed0de8db424a70925203c4665883dae454a684191

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=sha256:4eddcf85c2883a7fbe65cafdb24997be66a50dbe763eb7497aca46705d9c006c

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=sha256:32e149db175daf7c11dd166c4be58db49cc31c55e7de0d5253896aac351e4159

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

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

source=pdf_text observed=2026-05-18T12:12:25.437344Z digest=sha256:545b6d33abc2859ee8938bdd1973cb913261aa10d803e6b8c22e867b140c94c1

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

source=arxiv_source observed=2026-05-18T13:09:02.577020Z digest=sha256:e47caf11e3785eef4c5c08af7851b5167cc470b6c0e0a2a0bdae1c94c1c00f53

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

source=pdf_text observed=2026-05-16T10:38:09.875786Z digest=sha256:4015e8448d908f539f388aa8dc91ca697f34d66e6910a029ee6e72120b8af250

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

source=arxiv_source observed=2026-05-10T19:39:36.819142Z digest=sha256:4931f8e5e9766b27b92ce603f8d0abd06cd15e3590511ec31dc0ae5ef6b90b1b

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

source=pdf_text observed=2026-05-10T11:57:44.680423Z digest=sha256:24cc72c3900c95d0322fa32a62c541df53686e7ba11ae410a2ee5a216dfcdc1c

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

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

source=pdf_text observed=2026-05-10T09:16:58.661353Z digest=sha256:983ef5b00ddc8bfe104ab09bd72606fc19e410cff6db76baa388a3399e05a1b7

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

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

source=pdf_text observed=2026-05-07T11:00:21.413246Z digest=sha256:2761cc315a35d2d71cba54a4a1394db55472eac03e4e2f38d3cc3714abddd503

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

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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

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

source=pdf_text observed=2026-05-09T20:20:27.931679Z digest=sha256:2124c61fe3bf853a78903394fa9d1b4eaa21290a60f5811d7f7839a7ce426476

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

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

source=pdf_text observed=2026-05-08T18:48:03.257015Z digest=sha256:00863c81284b015b6a8a7702f02c8393f207410280e8bcc5594bdde11e093cc3

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

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

source=pdf_text observed=2026-05-11T01:00:53.308946Z digest=sha256:947f673267c18044542d94c2b82efd9d102a27d51f94c9cf7915c52ff1bdc101

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

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

source=arxiv_source observed=2026-06-28T07:11:52.187869Z digest=sha256:e1f77d8b8b4ead8c2c39a1d452eb0cdc8e3c0d9c077cd76129aae323ca3958a7

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

source=pdf_text observed=2026-06-28T05:46:26.938277Z digest=sha256:1d0884c40b042fbfdc529d24b1a4a291d8b437d80408156af4ad34c5c3c13c86

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

source=arxiv_source observed=2026-06-26T01:12:04.486570Z digest=sha256:c59d0722b53f06297e7b0d30d4532a6d9cfc7c8280a8785a6d9c9fccba1e545b

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

source=pdf_text observed=2026-06-26T05:12:43.536126Z digest=sha256:d5f93b3d78632bf9970849fffa213ce7f393e656869befa86011a32755a0d38c

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