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Paper Citation Record · LEDGER

LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2504.14655.

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

pith.paper-citation-record.v1
2504.14655 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 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 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:23:22.145829Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:30:01.590053Z

Reference resolution

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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 cbab64a0-80cd-4115-98ff-ef427404d89a · inbound

When More is Less: Understanding Chain-of-Thought Length in LLMs cites this paper.

When More is Less: Understanding Chain-of-Thought Length in LLMs LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 44

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no resolver link, observed 2026-08-08T13:23:22.145829Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:23:22.145829Z digest=sha256:98c2339e8ff2754ef1d2e27e1817b32247dda1eeea4357c92009eedd38e248d5

Observation e039299b-129a-4617-983d-d56ca6c284bd · inbound

Skywork Open Reasoner 1 Technical Report cites this paper.

Skywork Open Reasoner 1 Technical Report LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 30

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arxiv_id, observed 2026-05-17T04:26:47.355380Z

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=2026-05-17T04:26:47.283983Z digest=sha256:94f214c83ec18c1a7a4d876f1a5f121190d7a08563b903e45184b78f85efc39b

Observation c3ecf66b-b835-4348-9251-46c8cdb2961b · inbound

LLM Performance for Code Generation on Noisy Tasks cites this paper.

LLM Performance for Code Generation on Noisy Tasks LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 3

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no resolver link, observed 2026-08-07T12:45:40.247629Z

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source=pdf_text observed=2026-08-07T12:45:40.247629Z digest=sha256:bcfc44032845eaa7f3e4ded11841dc5c545578cf5f4a5d7422bb403dc4fd1219

Observation 88adc4bf-2f71-4e37-9529-14dff9aec9bb · inbound

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? cites this paper.

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming? LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 54

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no resolver link, observed 2026-08-07T01:08:01.421727Z

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source=pdf_text observed=2026-08-07T01:08:01.421727Z digest=sha256:5c0e5421797e3e427584c85461f1e55fc14eb0d9de88a65d5186e7583e92a0d8

Observation 6b5cf1a2-b129-471d-9d83-79b48f9e7118 · inbound

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources cites this paper.

Thunder-LLM: Efficiently Adapting LLMs to Korean with Minimal Resources LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 76

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no resolver link, observed 2026-08-06T23:58:09.855676Z

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source=arxiv_source observed=2026-08-06T23:58:09.855676Z digest=sha256:fb9da0213a1819f4f8c940e47c198688f0ac7ccf135dbe45eaad322df8e56aca

Observation b8b0e9da-da06-47ad-8c4d-09724995ea1a · inbound

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code cites this paper.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 49

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no resolver link, observed 2026-08-06T18:43:59.848050Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:43:59.848050Z digest=sha256:09e4f348600eab81cb9dcfe666b5edd6c31c09d0f23ff1c05168f90bb8cdcfa1

Observation 1a497670-7b41-4cbb-b7e6-25af520195d5 · inbound

Small Edits, Big Consequences: Telling Good from Bad Robustness in Large Language Models cites this paper.

Small Edits, Big Consequences: Telling Good from Bad Robustness in Large Language Models LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:26:57.798530Z digest=sha256:8d0ed0a256db112347e546e2415c2071924f7093bf188c8384dd82e9f874a334

Observation bd8c166a-4143-41dc-9d89-038eee7ac710 · inbound

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny cites this paper.

Re:Form -- Reducing Human Annotations in Scalable Formal Software Verification with RL in LLMs: A Preliminary Study on Dafny LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 88

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source=arxiv_source observed=2026-08-06T15:20:17.686438Z digest=sha256:693ac2c17f2f9b23be28d6f8d39012c64ed19d10cac260f4b4876df7196f8124

Observation a669a212-d3d2-46c4-8b50-39da3cbb3553 · inbound

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning cites this paper.

Can One Domain Help Others? A Data-Centric Study on Multi-Domain Reasoning via Reinforcement Learning LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 36

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no resolver link, observed 2026-08-06T14:53:04.611175Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:53:04.611175Z digest=sha256:863754017160947b2ec87ee478597af35990ff0f1cb5e22732e77716362a2980

Observation 477d0844-47a5-426b-b416-27b06eee984e · inbound

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths cites this paper.

Multi-LLM Orchestration for High-Quality Code Generation: Exploiting Complementary Model Strengths LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 68

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arxiv_id, observed 2026-05-18T10:22:33.298510Z

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=2026-05-18T10:22:09.037783Z digest=sha256:a1081aa1ea188b9a0da2bd91dd7dc55f7f7d18400cb2d363b93b1cf493404b3d

Observation c5509687-8d24-4de0-8b8a-917d97791d98 · inbound

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment cites this paper.

CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 27

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arxiv_id, observed 2026-05-18T05:20:54.593415Z

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=2026-05-18T05:16:28.008746Z digest=sha256:674ad2b32f55e29fc8bccb1224509f568e4d6d83f3e56c990f95bb2da17d5169

Observation 9b42878a-468e-41b8-96ca-7a3cfc5e8e58 · inbound

InfoSynth: Information-Guided Benchmark Synthesis for LLMs cites this paper.

InfoSynth: Information-Guided Benchmark Synthesis for LLMs LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 38

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:06:59.145164Z digest=sha256:cca5ed198540a12502e5527cefbf7a099924e91772e3de1491b035d05b3e8765

Observation c3a0e1d5-75e5-4c76-afdd-9629eaaf4912 · inbound

Think Anywhere in Code Generation cites this paper.

Think Anywhere in Code Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 24

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arxiv_id, observed 2026-05-13T23:18:25.538454Z

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=2026-05-13T23:16:42.782431Z digest=sha256:8f03f03b8c427a0dd0fd5cd2baa4258d7b72a41f7c7a378ce70e05ab2f96acdd

Observation d0ec1a28-94b9-4385-aa21-1d56f7429326 · inbound

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation cites this paper.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 17

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no resolver link, observed 2026-07-13T12:00:02.401705Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T12:00:02.401705Z digest=sha256:c0022ed531dcfeaa8d8a9dd26bd37babdf184771ded40f0d4df2b15882363ff5

Observation 7d1c0462-b7d0-4a3f-9062-d1db139bbf3d · inbound

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation cites this paper.

ACES: Who Tests the Tests? Leave-One-Out AUC Consistency for Code Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 17

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no resolver link, observed 2026-07-14T19:54:08.600196Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T19:54:08.600196Z digest=sha256:437d9285e1378a71cc5e20767994456a3b175aa2d21a2154cc429a2008e31055

Observation 141223fe-3244-469e-968b-53ab39482ae0 · inbound

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization cites this paper.

QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 4

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arxiv_id, observed 2026-05-11T00:10:50.836308Z

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=2026-05-10T18:41:12.750879Z digest=sha256:23cf51533f8da04f146b2ceb56038f12e41e5642b5a37761adddda46eb4b78e2

Observation 1873c522-6a14-4526-b96f-1d4322fa7e86 · inbound

CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation cites this paper.

CodeSpecBench: Benchmarking LLMs for Executable Behavioral Specification Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 37

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arxiv_id, observed 2026-05-11T11:26:03.588091Z

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=2026-05-10T14:54:51.051959Z digest=sha256:10227e32dbcf81bb8b04ddd0b10602e2ad186820b96991113779c935215dcd19

Observation e71600fe-315f-40f2-80bb-15e9c5bf4784 · inbound

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution cites this paper.

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 28

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arxiv_id, observed 2026-05-15T18:01:25.334520Z

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=2026-05-15T18:00:39.404711Z digest=sha256:bbd090c37ba7b1b2654bca91d2c7b08336bc69c2c8cc1ae1875c0e5f6c8d7451

Observation b622e4c6-f455-4a15-b8b5-4a04ef8f3039 · inbound

Do Prompt-Elicited Trajectories Reflect Training-Time Reward Hacking? A Systematic Study on Monitoring Training-Time Reward Hacking in Code Generation cites this paper.

Do Prompt-Elicited Trajectories Reflect Training-Time Reward Hacking? A Systematic Study on Monitoring Training-Time Reward Hacking in Code Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 13

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arxiv_id, observed 2026-05-11T21:11:10.331536Z

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=2026-05-08T06:38:32.413172Z digest=sha256:238a83bf4946add98889e84315c15c816d2fbb13ad68650d72f915f417da7d21

Observation 11f3c5fd-13c7-4875-be25-a6711bf71dc1 · inbound

Do Prompt-Elicited Trajectories Reflect Training-Time Reward Hacking? A Systematic Study on Monitoring Training-Time Reward Hacking in Code Generation cites this paper.

Do Prompt-Elicited Trajectories Reflect Training-Time Reward Hacking? A Systematic Study on Monitoring Training-Time Reward Hacking in Code Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 13

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arxiv_id, observed 2026-07-01T10:05:40.195801Z

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=2026-07-01T09:56:48.019404Z digest=sha256:e3a8e61ff52830c6967c45c81594f53f8da7eb279ff550e39481f0f367a1164b

Observation b24afdd9-471f-4e1d-bd83-03f676b31a0f · inbound

Do Prompt-Elicited Trajectories Reflect Training-Time Reward Hacking? A Systematic Study on Monitoring Training-Time Reward Hacking in Code Generation cites this paper.

Do Prompt-Elicited Trajectories Reflect Training-Time Reward Hacking? A Systematic Study on Monitoring Training-Time Reward Hacking in Code Generation LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 5

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no resolver link, observed 2026-08-04T05:25:41.152925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:25:41.152925Z digest=sha256:cb440b10efbcd1e3ba8e40051343cca871054ab1c73e740a30fcd15a338d59c3

Observation 5b42439a-d642-41dd-93dc-5a5a62d2baab · inbound

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs cites this paper.

Schedule-and-Calibrate: Utility-Guided Multi-Task Reinforcement Learning for Code LLMs LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 24

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arxiv_id, observed 2026-05-11T20:26:10.412611Z

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=2026-05-08T09:11:20.733960Z digest=sha256:dece866121c1352ae9ec07abe72d1859790d7b48bce6b7a53f267ab165258b45

Observation fe0f54f0-85b2-46d0-b37e-68742d50efe2 · inbound

SOD: Step-wise On-policy Distillation for Small Language Model Agents cites this paper.

SOD: Step-wise On-policy Distillation for Small Language Model Agents LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 75

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arxiv_id, observed 2026-05-11T03:40:54.525214Z

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=2026-05-11T02:25:59.056181Z digest=sha256:884757f0f0235e3ce9d2bec6af98cd1ae25095dac59f66e9b2bddbace76a816b

Observation e3b58194-f65f-4788-a235-2c21bf6ce13f · inbound

SOD: Step-wise On-policy Distillation for Small Language Model Agents cites this paper.

SOD: Step-wise On-policy Distillation for Small Language Model Agents LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 75

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no resolver link, observed 2026-08-04T05:20:45.244544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:20:45.244544Z digest=sha256:3979d8abd855a0208d942742d33da87446f895f2a2547d218efaea47222d64ba

Observation d2beaf0a-b1c1-4f47-89e7-c42a07dc93d6 · inbound

Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards cites this paper.

Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 34

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arxiv_id, observed 2026-05-15T01:43:27.576125Z

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=2026-05-15T01:41:31.631505Z digest=sha256:b6fcd9147ac96d8b6e22beef3ebad64036386a3e038e645beed876f083280969

Observation 14231b6c-ba56-4479-b9c2-6c7635052711 · inbound

Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning cites this paper.

Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 40

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arxiv_id, observed 2026-05-20T13:18:18.455978Z

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=2026-05-20T13:13:51.081597Z digest=sha256:aa53aa2a5881026acc738b48fd2df58afc0e205c74a1e5b4a9232f1d5abf33ca

Observation 17538fcb-026f-4dcf-b60e-c6ea31afe80a · inbound

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training cites this paper.

Hybrid-LoRA: Bridging Full Fine-Tuning and Low-Rank Adaptation for Post-Training LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 9

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arxiv_id, observed 2026-05-20T22:23:47.696918Z

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=2026-05-20T22:22:50.299625Z digest=sha256:866e9d014954c635304f09d9f80b0767b4e8881af7b209adffddf97c69899936

Observation bce36ece-1f7a-429c-a34c-0f0f7f459a10 · inbound

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training cites this paper.

MONA: Muon Optimizer with Nesterov Acceleration for Scalable Language Model Training LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 51

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arxiv_id, observed 2026-06-29T19:23:54.151382Z

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=2026-06-29T19:15:49.229099Z digest=sha256:5691a61ef844444bdf9b883995e026b54f03ab2a2ee68295288033500d266b17

Observation 4529a888-af0d-41e7-bd28-683a40258d37 · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 57

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arxiv_id, observed 2026-07-04T18:30:01.591682Z

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=2026-06-25T22:47:09.330723Z digest=sha256:8fc40bbab19998a94c52495505de3398d5b47e6658499d8f2eee7920d8a96efe

Observation 2f1882cb-9cb1-43b4-8c28-dfabe97aa7e3 · inbound

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR cites this paper.

Transferability for General Reasoning: An Automated Curriculum for Multi-Domain RLVR LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 57

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arxiv_id, observed 2026-06-30T12:54:40.439898Z

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=2026-06-30T09:55:19.804589Z digest=sha256:1305545c7c6bbd3f68046f0ad1517b2c59739ccbd62a1d6e3db3547126514f5d

Observation 0577f2a4-6adc-4ad4-956e-dff38ca3f0eb · inbound

Do Machines Struggle Where Humans Do? LLM and Human Comprehension of Obfuscated Code cites this paper.

Do Machines Struggle Where Humans Do? LLM and Human Comprehension of Obfuscated Code LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 9

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verified exact
arxiv_id, observed 2026-07-01T11:35:42.800992Z

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=2026-07-01T04:20:58.193962Z digest=sha256:44050527008ad7faa6403e6110d175f8e21d0d13467a555493e07fba8dc3735a

Observation a84ff77f-299f-4d58-9c6d-e18488256e0c · inbound

Diversifying to Verify: When Task-Equivalent Programs Differ in Verifiability cites this paper.

Diversifying to Verify: When Task-Equivalent Programs Differ in Verifiability LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 27

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no resolver link, observed 2026-07-13T03:34:35.116630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T03:34:35.116630Z digest=sha256:04377b79b89e7c7bd3ed0e869b856215497a91389b5a6a7c11d7c3ef7ea91752

Observation f3163d5b-85a4-4540-bacb-13911226eac0 · inbound

Loop the Loopies! cites this paper.

Loop the Loopies! LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-01T21:34:28.035103Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T21:34:28.035103Z digest=sha256:c36ff7fdea5f54d7ca6b1e7ed011c46f84b34ae663bd4fe14517116a21130c35

Observation 63972755-8e1c-4bd2-b8cb-66c9de8a73bd · inbound

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning cites this paper.

Teaching LLMs to Self-Evolve: Cultivating Core Meta-Skills with Reinforcement Learning LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T06:17:29.782230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T06:17:29.782230Z digest=sha256:c87f6916abb58d3496bc9c9a7ac93756f2c547f25aa2903a5c8b99f06aaf87c9