Paper Citation Record · LEDGER

Planning In Natural Language Improves LLM Search For Code Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 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 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:47.479998Z

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 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.

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.

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.

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.

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.

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.

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

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

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

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.

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

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

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

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