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Paper Citation Record · LEDGER

CodePlan: Repository-level Coding using LLMs and Planning

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2309.12499.

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

pith.paper-citation-record.v1
2309.12499 v1

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 2026-08-18T06:34:40.430872+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:26.065642Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:41.782411Z

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 b3b29962-c0b6-4b28-873d-0cb0f9126a34 · inbound

SnapKV: LLM Knows What You are Looking for Before Generation cites this paper.

SnapKV: LLM Knows What You are Looking for Before Generation CodePlan: Repository-level Coding using LLMs and Planning

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T12:57:43.097026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T12:57:43.036674Z digest=sha256:8026ef6ee907becb1de9f6d8a5db0b1cb833c4fe47ad97403994503e66324abc

Observation 2d33102a-fa26-40bc-b275-5c0a8d2d9452 · inbound

A Survey on Large Language Models for Code Generation cites this paper.

A Survey on Large Language Models for Code Generation CodePlan: Repository-level Coding using LLMs and Planning

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.469131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:91d826c5e6148da933fed0ba22ad30d98bde36f38a5871fc3a35c9d72a588e5a

Observation d0f108f9-07fa-404a-aa87-a9c6e4b804a3 · inbound

FullStack Bench: Evaluating LLMs as Full Stack Coders cites this paper.

FullStack Bench: Evaluating LLMs as Full Stack Coders CodePlan: Repository-level Coding using LLMs and Planning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:05.307436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:20:05.307436Z digest=sha256:eea1e921e1e58d154d4811c73058d542d574a858a7ff8d7e3b03df6bcfe6ad81

Observation c08a3043-76e1-4808-807e-67c4108791bf · inbound

You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects cites this paper.

You Name It, I Run It: An LLM Agent to Execute Tests of Arbitrary Projects CodePlan: Repository-level Coding using LLMs and Planning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:10.084804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:10.084804Z digest=sha256:019e384911ec05839a54d945f48f3f5e40aff4f4984b4cf8785fbd75e7e0a778

Observation 568f83cd-d702-4997-a299-67ab365bc37e · inbound

AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference cites this paper.

AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference CodePlan: Repository-level Coding using LLMs and Planning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:51.112306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:51.112306Z digest=sha256:7b9c260f1bd92a3e1f3284225376590cd3ea0841cf726228d555b5d8b571de2c

Observation 07fbfc32-74df-4970-beaa-369ce2b3bde6 · inbound

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities cites this paper.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities CodePlan: Repository-level Coding using LLMs and Planning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.022517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.022517Z digest=sha256:659246faf8b7e2288e89898d09fee062178fa779e961b9a3742466225c7483aa

Observation 4fbb69f3-f380-4164-a2c4-618e418b0315 · inbound

OpenClassGen: A Large-Scale Corpus of Real-World Python Classes for LLM Research cites this paper.

OpenClassGen: A Large-Scale Corpus of Real-World Python Classes for LLM Research CodePlan: Repository-level Coding using LLMs and Planning

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:35:19.900789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T19:20:54.644575Z digest=sha256:bd59f445bb15b060c7bfb335a61e5a081ebc23866b331d4775f3c69755ece70a

Observation 0ec05089-f8c6-408d-b5e0-83efe8fb1994 · inbound

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies cites this paper.

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies CodePlan: Repository-level Coding using LLMs and Planning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:26.065642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:53:26.065642Z digest=sha256:d864c28e5ca54a6d8a33e2f56506c5c9745550f2a69e9477fadcffdc17e79fa2

Observation b140e735-dc0f-4d79-acd9-c8039dcdf2d8 · inbound

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories cites this paper.

Large Reasoning Models are not thinking straight: on the unreliability of thinking trajectories CodePlan: Repository-level Coding using LLMs and Planning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:13:12.780233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:13:12.780233Z digest=sha256:d5627ad335a05843e22caa0791d574694a8f691412c0f5e6db193befb2736aaa

Observation e52c5bdd-27bc-475b-b44a-f0dfed2d062d · 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 CodePlan: Repository-level Coding using LLMs and Planning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:18:18.511915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-20T13:13:51.081597Z digest=sha256:42d06c9d800d0c8d9f1826c92539014690c4a92833904107c814beb2d63880b2

Observation 576d88fc-ff6c-4f89-a9af-ff45c7ae4c80 · inbound

When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding cites this paper.

When Parallelism Pays Off: Cohesion-Aware Task Partitioning for Multi-Agent Coding CodePlan: Repository-level Coding using LLMs and Planning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-28T18:02:27.220764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-28T17:54:11.943187Z digest=sha256:b4f40a7e38df97ba26e4380b746ee75ad06816dde1d17443775ce545c635c162

Observation 6c08701a-cd92-4cbd-a936-1a2da4c759bd · inbound

Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale cites this paper.

Holmes: Multimodal Agentic Diagnosis for Mixed-Language Mobile Crashes at Industrial Scale CodePlan: Repository-level Coding using LLMs and Planning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T08:19:43.674382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T12:01:04.952474Z digest=sha256:4780d8400b41880f2b0f1ec1e130677e4d755b15f22056bfaf47e2449806013d

Observation ba8cf01b-2a13-4097-ba0b-36e4135042aa · inbound

Code Isn't Memory: A Structural Codebase Index Inside a Coding Agent cites this paper.

Code Isn't Memory: A Structural Codebase Index Inside a Coding Agent CodePlan: Repository-level Coding using LLMs and Planning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:41.783870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T10:59:52.756992Z digest=sha256:da0f2276fa866876daa0e399c8652c242aefda75f3263e46690701eb83ba906a

Observation 49f78c85-2052-45ae-a65f-baa2c31fa1a5 · inbound

RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models cites this paper.

RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models CodePlan: Repository-level Coding using LLMs and Planning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T00:57:33.265961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:57:33.265961Z digest=sha256:8decc27951a02bbae789b329cd4e23bd5350e402ebbdfe2fe75ba11297941ddd

Observation d8f27bd4-3c65-43f4-983c-7842a9426204 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details CodePlan: Repository-level Coding using LLMs and Planning

Reference 181

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.122434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.122434Z digest=sha256:e14e6e1fb1a811011772f4a6481e491093042e407eeeb376a32f2ce963033e64