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Paper Citation Record · LEDGER

Planning In Natural Language Improves LLM Search For Code Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2409.03733.

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

pith.paper-citation-record.v1
2409.03733 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:01:43.737357Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:56.407767Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a8e2ca6b-353c-40d9-a71b-976f8fe4df70 · inbound

Optimizing Temperature for Language Models with Multi-Sample Inference cites this paper.

Optimizing Temperature for Language Models with Multi-Sample Inference Planning In Natural Language Improves LLM Search For Code Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T20:01:43.737357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:01:43.737357Z digest=sha256:837d40af1f131b85b4efe978c63ef062825f8b93846388222e2a157a7ddf2042

Observation ecab038f-f639-4b9f-8f6b-0ff5f54fa06d · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Planning In Natural Language Improves LLM Search For Code Generation

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:47.479998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:47.479998Z digest=sha256:757b851f7398292c1495125fb04de8f1f59f2cb0c2d8a9553d885c9db377da5e

Observation d0d8936d-8db1-40fc-b6db-a3e511e0c6b0 · inbound

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards cites this paper.

Agent-RLVR: Training Software Engineering Agents via Guidance and Environment Rewards Planning In Natural Language Improves LLM Search For Code Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:16:08.441362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:16:08.441362Z digest=sha256:00efb58a6138149dc3f2013c5d4651d14487ff240ff3996415b3ecf6174c5fd8

Observation 957e30f5-1a50-4be3-9197-b80b6e3d36b2 · inbound

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents cites this paper.

Optimizing Sequential Multi-Step Tasks with Parallel LLM Agents Planning In Natural Language Improves LLM Search For Code Generation

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T18:16:07.971713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:16:07.971713Z digest=sha256:424c9f14edbf59a44bcd5a1c50dd577cbace31213c3e48384e0464568b71de9a

Observation fc18e0be-84d9-40fe-ad59-d7e4a118fd65 · inbound

StaAgent: An Agentic Framework for Testing Static Analyzers cites this paper.

StaAgent: An Agentic Framework for Testing Static Analyzers Planning In Natural Language Improves LLM Search For Code Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:50:37.961891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:50:37.961891Z digest=sha256:1b47c094991e266401a6c7358272df98a486e6fc491395d50bca134672604d85

Observation e4819110-3a3e-42f0-a5e3-247f8c70cdf4 · inbound

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs cites this paper.

Let's Revise Step-by-Step: A Unified Local Search Framework for Code Generation with LLMs Planning In Natural Language Improves LLM Search For Code Generation

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T22:09:46.476577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:09:46.476577Z digest=sha256:4b8d3e0ab5c04c301288410ea5a361326c172429e342d3eab4619dae2be9c283

Observation 5160d2b6-0f3a-4675-9c0f-c874a8bf19ed · inbound

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code cites this paper.

EvoVerilog: Large Langugage Model Assisted Evolution of Verilog Code Planning In Natural Language Improves LLM Search For Code Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T22:33:17.546042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:33:17.546042Z digest=sha256:416cdaf486e44afc7eeacf0636344e95e8a26a24e120ebdfcf77adeec2a520dd

Observation d44e9729-cc7d-4d0f-a29b-2975417424eb · inbound

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search cites this paper.

AdverMCTS: Combating Pseudo-Correctness in Code Generation via Adversarial Monte Carlo Tree Search Planning In Natural Language Improves LLM Search For Code Generation

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:40:57.407069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-10T16:35:16.056397Z digest=sha256:7549caed7366db89420b9c8ffb72e8d13ce18a4e582fffb500d776557b3be81e

Observation 26867405-e9ac-4d46-a43f-691234fa377e · inbound

Evaluation-driven Scaling for Scientific Discovery cites this paper.

Evaluation-driven Scaling for Scientific Discovery Planning In Natural Language Improves LLM Search For Code Generation

Reference 149

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:26:08.307744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T03:39:52.204043Z digest=sha256:4bc3204324fa7b54dee45a8c4b58a34e7b6e67745b9b57e2985eed0792360257

Observation d69ae505-25d8-4460-b02d-fa674e5c409d · inbound

Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language cites this paper.

Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language Planning In Natural Language Improves LLM Search For Code Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:13:40.371531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T19:12:42.655490Z digest=sha256:29f907bc7d417de22f49bad03a9c652f3b6ec6bc408b134502f1ce549f96fc2b

Observation e481f299-94cb-47a4-bc8b-913603e03998 · inbound

Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language cites this paper.

Syntax Without Semantics: Teaching Large Language Models to Code in an Unseen Language Planning In Natural Language Improves LLM Search For Code Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T05:10:07.089908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:10:07.089908Z digest=sha256:e8211d229abfbb766901dcc2e7f8295987949b5ac7e0a0b0db5eb00281774389

Observation 369bb234-192e-4a7a-bb0d-ed48c110c72e · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness Planning In Natural Language Improves LLM Search For Code Generation

Reference 159

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:58:14.586380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T10:54:54.558241Z digest=sha256:9faeaf14edd146db61d279ea66febf262292521bf563b31e6596748aaedc5df2

Observation a59d7589-c83a-491e-a541-8d055c5582b0 · inbound

Muse Spark Safety & Preparedness Report cites this paper.

Muse Spark Safety & Preparedness Report Planning In Natural Language Improves LLM Search For Code Generation

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:55:01.598677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T19:49:14.463992Z digest=sha256:cc9bd2fecc0816f3ce2de5b3e34a1e3db35a04149cb9b745019bec736dfa65b1

Observation 2a1d9072-f8a9-4805-ae27-ab0cbd947904 · inbound

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation Planning In Natural Language Improves LLM Search For Code Generation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:48:56.409138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T01:07:49.603969Z digest=sha256:14684160dc3591ac4599a956620e547d9bf714c5c0fed2608fc971a545c1f65e

Observation 1606f3b8-b8c8-4f69-acd5-62ab3f344399 · inbound

Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models cites this paper.

Falsification, Not Exposure: An Internally Preregistered Placebo-Controlled Decomposition of Self-Repair Feedback in Frozen Small Code Models Planning In Natural Language Improves LLM Search For Code Generation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-07-01T11:05:42.221928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-01T04:44:56.520156Z digest=sha256:4075f93764be5df4e87f9953c1689e2c510ba5619aad5a33199882efe9bc80fe