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Paper Citation Record · LEDGER

KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2503.02951.

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

pith.paper-citation-record.v1
2503.02951 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:49.297876Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

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

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 168ccc8c-3374-4594-be38-0393a235f81f · inbound

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding cites this paper.

OpenCodeReasoning: Advancing Data Distillation for Competitive Coding KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T19:21:42.190903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T19:21:42.081762Z digest=sha256:e4dc4ed50b5be14fdc2a636ce091481d07b8ad675b7a32f0ffb1feefcc742b21

Observation 3a2a8f9d-ef7c-44b5-8dbe-1e0898697da3 · inbound

CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation cites this paper.

CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:49.297876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:49.297876Z digest=sha256:f92fef3501dfc7b925c1fa317c3fd6cf8d92bf3916320a7913589a26c2ab1cd8

Observation 6b402227-a144-481c-b7f7-da4da9a64e55 · inbound

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles cites this paper.

Enigmata: Scaling Logical Reasoning in Large Language Models with Synthetic Verifiable Puzzles KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:11:06.837138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:11:06.837138Z digest=sha256:09c9fa1a77451278ec675cab1c3ac8e3e1b000d59b614bb29421e3e2996203b0

Observation b979841d-ad02-44f0-a740-e00d54881dc5 · inbound

Self-Correcting Code Generation Using Small Language Models cites this paper.

Self-Correcting Code Generation Using Small Language Models KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:00:24.860735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:00:24.860735Z digest=sha256:a92c714747464b4eaf3556d6a15f63aaa46a1fa69b9c6ffd505e5288a9430678

Observation c61da6a1-b863-4077-b298-007329eaa1e2 · inbound

HardTests: Synthesizing High-Quality Test Cases for LLM Coding cites this paper.

HardTests: Synthesizing High-Quality Test Cases for LLM Coding KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:39:57.824234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:39:57.824234Z digest=sha256:0bebd32222746bea28d45e3c356a4eabb48c83a00dfb274de3cfd62df8582dd3

Observation 93fe47af-8199-4c12-9e38-51a65f955481 · inbound

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library cites this paper.

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:33.047913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:33.047913Z digest=sha256:fe51e813294d67da02841b550ac6476ff9712b4b0f7bf3cde4a045d43663fb26

Observation ee0c018a-43f9-4e84-8889-707034a2b63d · inbound

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling cites this paper.

Blending Supervised and Reinforcement Fine-Tuning with Prefix Sampling KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:40:46.423695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T23:39:39.018498Z digest=sha256:1ffe48f76cd7d2424c934b46285f899e9229d55545e03816274f45271d30b295

Observation 36e4edfb-bd0d-41c7-a671-120befd8290a · inbound

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique cites this paper.

OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T18:11:19.939735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:11:19.939735Z digest=sha256:1cf5e0d2685646df83c72b6e4ff836051a99abd27e2fceddf10c0db9dd3e2770

Observation 18cfefcb-2b71-4a12-a8f5-032144af1d1e · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:49:28.091042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T17:49:27.926646Z digest=sha256:cfd4c555b9405060b2814c2ff499b27708d4bb27f26ec95fcacd64c0990dc1d0

Observation 9d9a3948-c25e-4233-b6df-7ae0d53d5831 · inbound

Dream-Coder 7B: An Open Diffusion Language Model for Code cites this paper.

Dream-Coder 7B: An Open Diffusion Language Model for Code KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-05T12:56:35.187842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:56:35.187842Z digest=sha256:7b7f8d2ff5be992ccbc0e6071562408945e87e92ccd2807285a2f92643a5ec60

Observation 46eb14e7-3065-48eb-8b30-a7e1d3387ca4 · inbound

Large Language Models for Fault Localization: An Empirical Study cites this paper.

Large Language Models for Fault Localization: An Empirical Study KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-04T08:26:08.216947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T08:26:08.216947Z digest=sha256:0be5a2272428c437b09f1aaa438a1a67d1996a071398a291d011626c63330eb6

Observation 3c6e2350-a71e-4b38-b8a7-d1f6d650143f · inbound

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation cites this paper.

MURPHY: Feedback-Aware GRPO with Retrospective Credit Assignment for Multi-Turn Code Generation KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:15:26.757913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T23:13:43.754235Z digest=sha256:8a71021c6c50803b61f6e4c510675eaeb014d12b856febc40c7901a5288f12ee

Observation 8bbdfa41-e06b-4a2d-bfaf-9a5b9630502a · inbound

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

InfoSynth: Information-Guided Benchmark Synthesis for LLMs KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-03T13:06:57.148919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:06:57.148919Z digest=sha256:77d60573497029f7ac8055f0ec8b7e992ddf0d0477f03d7845304b8e77157361

Observation a7787426-13da-4323-86f1-4ce39c29439a · inbound

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? cites this paper.

ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:20:51.969223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:36:23.127141Z digest=sha256:cb90cdd7e3cfdb4a900a316ac0e21d2a40e457d2d6fae1aaa1825b4f59238ee8

Observation b40565f2-3ce2-4828-8799-6e621d11b799 · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:53.710057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T03:01:13.168529Z digest=sha256:5b94083255690f625eebafa34e5536337cad4ad4389f46c8b263fa1fe0523ece

Observation 953d47c2-8f7f-47d5-9625-98c6e36cf3d1 · inbound

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation cites this paper.

SimCT: Recovering Lost Supervision for Cross-Tokenizer On-Policy Distillation KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-22T10:31:24.914644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T10:30:11.309910Z digest=sha256:e14eb93c183ebefc5a99ac7a010feafaf31813378c777d0414a28b686e52e51b

Observation 3517e1bb-4afc-45e7-b370-e2d00fa5ba8c · inbound

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models cites this paper.

Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:23.303325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T01:11:50.343466Z digest=sha256:838783a698157c64c2c6716bf9c7d2e282c97ab1a6c33a37ff7e43c3c1f165cf

Observation a0988b21-4bcb-4aab-a375-ae9673a2a769 · inbound

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs cites this paper.

Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:46:18.864801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T02:44:33.143247Z digest=sha256:1c76f96ff8adc0e05daabc34164be1435e33bf22aacd478a6671f00d4cb54fcc

Observation b49fa7b3-ae8d-487a-9524-485231f539c9 · inbound

Generating Complex Code Analyzers from Natural Language Questions cites this paper.

Generating Complex Code Analyzers from Natural Language Questions KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T05:41:26.727138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T05:02:19.519786Z digest=sha256:4278e1035182ba0df8d835230bb53201df58c88b319ff33574d5b96b879dec16

Observation 96b62dc2-a8bd-41b7-ae0a-3fae125654aa · inbound

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models cites this paper.

DACA-GRPO: Denoising-Aware Credit Assignment for Reinforcement Learning in Diffusion Language Models KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:54:09.783102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-20T22:53:48.008589Z digest=sha256:2980f497c2f7172431a59defbd2f57c967746467a2b173ee5f7698a373ba4782

Observation 79fe5607-798f-4737-b610-f9c285e52c92 · inbound

Latent Action Reparameterization for Efficient Agent Inference cites this paper.

Latent Action Reparameterization for Efficient Agent Inference KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:48:12.896953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T10:45:20.306945Z digest=sha256:e184853dd5a32f17190876000e65b00871e4390cbe77febc5c0eda9b99641720

Observation 9c1556bf-f6d7-453e-862c-80080e018cdd · inbound

RASFT: Rollout-Adaptive Supervised Fine-Tuning for Reasoning cites this paper.

RASFT: Rollout-Adaptive Supervised Fine-Tuning for Reasoning KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T22:31:21.098357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T22:25:52.959859Z digest=sha256:e7a8f241a966e79301cd307ba0f795418c12967137cb0d0983c5d5416c03727b

Observation a559ae72-821f-40f6-ba02-a2ec40d16950 · inbound

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR cites this paper.

SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:38:55.641095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T01:15:18.237335Z digest=sha256:827f212c8e4b66a7a6e6f4b9e2f4d1154c1f6c3bd9bb18a17af6e0c1815c81ed

Observation 32c6cc84-9aad-480c-9451-a4d867a98f44 · inbound

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation cites this paper.

Selective Left-Shift: Turning Test-Time Compute and Difficulty-based Curation into Training Data for Low-Resource Code Generation KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 33

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T19:57:34.152440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-10T19:48:27.137130Z digest=sha256:a1c6c376a4904848885852a344765eea5b702ed1d5f110e3e4a540b17fd54656

Observation f37a584f-be9e-40c1-869a-5dca6eb208d5 · inbound

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards cites this paper.

Non-vacuous Generalization Bounds for Reinforcement Learning with Verifiable Rewards KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-02T02:01:57.341870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:01:57.341870Z digest=sha256:b0a5f2d85153116545f708f576961cc521d456f838891e7335f2d5219e10d59d

Observation 24bd331e-ab2e-4fc7-b682-51c81dd77a38 · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization KodCode: A Diverse, Challenging, and Verifiable Synthetic Dataset for Coding

Reference 60

Resolution
malformed identifier
no resolver link, observed 2026-08-01T05:09:59.059091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:59.059091Z digest=sha256:73774ddaf6290482216533f28228ab03f211ae76a6cad83f94981e26cc1981a9