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Paper Citation Record · LEDGER

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement

As of 20 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 2 inbound Pith citation observations for arXiv:2502.17442.

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

pith.paper-citation-record.v1
2502.17442 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:17:48.617881Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:58:07.683838Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved33
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation e5d3caa3-bf88-4110-beee-fcef74110ac9 · outbound

This paper cites Program Synthesis with Large Language Models.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Program Synthesis with Large Language Models

Reference 1

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no resolver link, observed 2026-08-10T23:17:48.473984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.473984Z digest=sha256:e306141526718975f2c1b3ba85b58f295e0adc66dbd823e7e154f5d891e2757e

Observation 54d32a8b-7329-4052-b765-284465de6546 · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 2

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raw_fallback, observed 2026-08-10T23:17:49.129014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.479445Z digest=sha256:7b27bda02c203594a7ad3496c2b3c851127fd37374e1af4f378cfeb9ad611670

Observation e3556d81-e9b9-4a2e-9fd1-6103803ceeaf · outbound

This paper cites Qwen Technical Report.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Qwen Technical Report

Reference 3

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:17:48.484004Z digest=sha256:69eb645529e0bd449f25df7d042caebc11fa49eed973821e174df618878cdfa0

Observation e7dd3b57-abed-42c3-b5cc-957f58ead7b2 · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:17:48.489110Z digest=sha256:a4a3d8caef442f9589fcd6f73f2908b5c3590d9b4fecb8eb1db763c58bc93fdf

Observation 401c170f-e5f1-4bea-91b4-84cf1145ed3d · outbound

This paper cites Improving Code Generation by Training with Natural Language Feedback.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Improving Code Generation by Training with Natural Language Feedback

Reference 5

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no resolver link, observed 2026-08-10T23:17:48.493851Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:17:48.493851Z digest=sha256:20decb2b18b4f86d68666fb5d7545266e381f492826c33be2f064648ec848f47

Observation c1a46184-3c9a-4e1f-bfd6-bbe4785b163a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Evaluating Large Language Models Trained on Code

Reference 6

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no resolver link, observed 2026-08-10T23:17:48.498759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.498759Z digest=sha256:06770d12c1be48fac1d611b29a46622c39f60d51c3c02354fd05718170b8a89e

Observation fab6e0b4-8cdf-42ba-92e0-d797820f6fd0 · outbound

This paper cites CodeScore: Evaluating Code Generation by Learning Code Execution.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement CodeScore: Evaluating Code Generation by Learning Code Execution

Reference 7

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no resolver link, observed 2026-08-10T23:17:48.503962Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:17:48.503962Z digest=sha256:caee36bbb58429b0dcaa4e337ff33b5973c5294c155c3b61e681f0b6503bba23

Observation 5f9689d7-7977-4de3-bed8-1a6a7c60387b · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-10T23:17:48.508691Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T23:17:48.508691Z digest=sha256:a591d4a0c4325cfaa1e784ea836fe64c5592db9501eec1a825d277527dd6bba7

Observation dec747df-4f79-4569-b016-fab42a29f75b · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Reinforced Self-Training (ReST) for Language Modeling

Reference 9

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no resolver link, observed 2026-08-10T23:17:48.512842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.512842Z digest=sha256:70e18ddeefec0a5eb42fad892038138ca7a4e742afbaa29b33491d81899511ce

Observation feca80aa-84df-42ab-aadc-193e65ef4d8d · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.517534Z digest=sha256:18a3d8658d3a1124a0a875a65f92fac66a6f044a065ecd9b136cb01dbb6c9d21

Observation 04fc2a8b-916d-474e-ac6f-7d2504bfdf5f · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement LoRA: Low-Rank Adaptation of Large Language Models

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.521708Z digest=sha256:ac0f632577cd87db611ffb83728027a3e9d8af4cf3977d9d254a922c08170605

Observation 2fb5f049-3ed6-4abe-9052-cc552b1095a4 · outbound

This paper cites CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation

Reference 12

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no resolver link, observed 2026-08-10T23:17:48.526393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.526393Z digest=sha256:c6feb3d528ee13ec0b04d12e7038e9e3292b86e0db4256f7f667fc16d828837a

Observation 41c894e7-964d-430b-9d32-9e0b8df86c9f · outbound

This paper cites AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation

Reference 13

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no resolver link, observed 2026-08-10T23:17:48.530234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.530234Z digest=sha256:aed00c46131a068936c2e9058a3d3bfafad559c305700e7cb42ea09f3d924897

Observation 3268fca6-7795-47c3-b845-678e0a490c70 · outbound

This paper cites MapCoder: Multi-Agent Code Generation for Competitive Problem Solving.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement MapCoder: Multi-Agent Code Generation for Competitive Problem Solving

Reference 14

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no resolver link, observed 2026-08-10T23:17:48.533949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.533949Z digest=sha256:c14b9ca0e4df3cd1c6cdb5b32ad3a1640543b0b1ec475c5ff5c2f4a866518190

Observation 601cd8eb-6a9e-431c-9b67-2f0f551e1cba · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-10T23:17:49.084848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.537646Z digest=sha256:2c5910dbe877f3795e92d8abe43d63abbf289d2699b08cf6dc075c7745d4648f

Observation 58cf11a8-9c49-411b-a07f-c4f901eb526e · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-10T23:17:49.071299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.541473Z digest=sha256:6fb5231074a66db4fde0aff0eee07a8fb34c48fa8dd48423c5cf3bc90633a9ed

Observation 2ef21f99-d3c8-4985-8a30-598479c7566d · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-10T23:17:49.056203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.544983Z digest=sha256:9efc0c6f3723d1a07ced1ca5bf52164718381d4ba51a418e45daf8c50a5e19d1

Observation 87398bf2-48f6-488f-b625-8d5864481984 · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-10T23:17:49.042972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.548936Z digest=sha256:4dfb930e8e83795ba5489389b84910de1ddf873d28cd385537f592b899448847

Observation 6a201951-e88c-4b49-a260-49f8fa22a8f7 · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-10T23:17:48.553127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.553127Z digest=sha256:03eb683c4ed67ab1e407e42e75fd6df86b16a8befc5c554ce8f11da7ce5ede95

Observation b72e6bac-6ac5-4e1a-9159-69cf45c2723e · outbound

This paper cites Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting

Reference 20

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no resolver link, observed 2026-08-10T23:17:48.558080Z

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source=arxiv_source observed=2026-08-10T23:17:48.558080Z digest=sha256:12faaf49eefd77d627f85fd9f31d641bf469885e575f90b2ffafb04b4fd55d5e

Observation 080036af-5a3d-4f08-ab63-e838e42803c3 · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-10T23:17:49.029273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.563191Z digest=sha256:fd0fbe991485c0ed6298b4bfd4ccab5c1a4c428ebb85011544874550190db5eb

Observation 2be6b1e7-d69b-4b8d-8728-443a40ec9fbb · outbound

This paper cites OctoPack: Instruction Tuning Code Large Language Models.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement OctoPack: Instruction Tuning Code Large Language Models

Reference 22

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no resolver link, observed 2026-08-10T23:17:48.568165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.568165Z digest=sha256:f52c85cb7b5e7db01a7b20d5fb63fa1c6013ebfbbcc320e0939be67279d6ec37

Observation cbe07dbe-945f-42e7-9c16-e16ecb2bab5e · outbound

This paper cites Red Teaming Language Models with Language Models.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Red Teaming Language Models with Language Models

Reference 23

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source=arxiv_source observed=2026-08-10T23:17:48.572882Z digest=sha256:9ee9e09f25e1ff2c044f175fa9c8cd3650e4d64b1e127f9d6351ae2ba50c76b9

Observation 0c77ee0f-3af4-43d5-ab77-23ee59fb33f6 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 24

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no resolver link, observed 2026-08-10T23:17:48.577983Z

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source=arxiv_source observed=2026-08-10T23:17:48.577983Z digest=sha256:ab9acd918ba0211bd622aab733a3e9bf6ca286f8c059011e325c9ddfd60ad849

Observation ca309695-8f37-4f14-9e4c-508e55086672 · outbound

This paper cites Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering

Reference 25

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no resolver link, observed 2026-08-10T23:17:48.583121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.583121Z digest=sha256:7d595e5075f92a88d8af9255a4e9f053bbd9b597c70dc4509299e0a850073a2e

Observation 97bb41a1-a13b-4ce3-a758-4789a6ff9684 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Code Llama: Open Foundation Models for Code

Reference 26

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no resolver link, observed 2026-08-10T23:17:48.587637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.587637Z digest=sha256:35d876078bd05c11b3eb78a79ff78baa117094e145e5d9b70a095212d063744a

Observation df65e31f-060e-4b0c-9c52-61308abcc822 · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 27

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no resolver link, observed 2026-08-10T23:17:48.591987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.591987Z digest=sha256:6b6aaeaf5b2fd549a649684f069008feb26f83e02f328fb5de2e0a361a139288

Observation b98eca70-76db-4cac-bd95-2e25c7267ec0 · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 28

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raw_fallback, observed 2026-08-10T23:17:49.015598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.596552Z digest=sha256:c0a4691c68bf46b8c83c9538197cafcc0b40649be731c6b986c2135383b28be1

Observation 3487d7fb-32cb-44fc-aeb6-b602f736ed2a · outbound

This paper cites an unresolved cited work.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement Unresolved cited work

Reference 29

Resolution
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raw_fallback, observed 2026-08-10T23:17:49.001625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-10T23:17:48.600619Z digest=sha256:2189e72f60f133d10d23a2c41c67d8294cca5180edf7fceb707e532ef7afaaa7

Observation 24a9faf0-39d3-4aa7-91c6-79683d2ba8af · outbound

This paper cites OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Reference 30

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no resolver link, observed 2026-08-10T23:17:48.604751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.604751Z digest=sha256:694c2d1a513aceaeed497aec803e30264e37dd3f70add36787d82059f94f890d

Observation ffcc50a6-1da7-4085-ab9b-7176051bb317 · outbound

This paper cites A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends

Reference 31

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no resolver link, observed 2026-08-10T23:17:48.608997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.608997Z digest=sha256:aeb91d57df92d8dbf0cf3329657a21b6058712292120402bf57c327ae6180519

Observation 99f1cda2-c20a-4fe5-bf4e-9cb9795f139f · outbound

This paper cites online" 'onlinestring :=.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement online" 'onlinestring :=

Reference 32

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no resolver link, observed 2026-08-10T23:17:48.613241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.613241Z digest=sha256:131f9d46b35cf6aa9526e2ecc114b2426e08adb6d41e34e725c004fd1848babd

Observation eee1c6e5-d647-4565-b6ce-9bf9feaa30d3 · outbound

This paper cites write newline.

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement write newline

Reference 33

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no resolver link, observed 2026-08-10T23:17:48.617881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:17:48.617881Z digest=sha256:205d6a840b8a853a1c6a17b6baebacc663ef60872e65e5a4d6b1277aee33eb4c

Pith citing papers

Observation 14073cf2-6be9-407e-9b56-5614c0f3be6d · inbound

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News cites this paper.

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement

Reference 56

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no resolver link, observed 2026-08-15T21:58:07.683838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:07.683838Z digest=sha256:00eb837b228c9713e8983f2f3e49efbed35fc7fd0a6977b9d4324f0553fde41c

Observation 62e98827-1b4c-411a-be75-ea9b2914b20d · inbound

You Don't Need Public Tests to Generate Correct Code cites this paper.

You Don't Need Public Tests to Generate Correct Code Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement

Reference 24

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verified exact
arxiv_id, observed 2026-05-09T20:58:06.467878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T20:57:43.802195Z digest=sha256:fc419f572130d2c2324388a38605bfb897e0d53f0a056010fc5052386db31e0e