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Paper Citation Record · LEDGER

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation

As of 13 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 3 inbound Pith citation observations for arXiv:2509.02330.

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

pith.paper-citation-record.v1
2509.02330 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:39:14.294910Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-04T01:06:07.000711Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:18.428420Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved44
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5642c598-a6b5-4a4e-b024-dea962713839 · outbound

This paper cites GPT-4 Technical Report.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:07.126018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:07.126018Z digest=sha256:b5e114e5084632c36b479bad1f9c9ec1009cdeca092cde89736ba65ba8f302d2

Observation a5c95c7d-30f6-4e4f-b09c-cd32325d54a6 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-08-05T11:39:07.264228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:07.264228Z digest=sha256:8f0db85608c922848afdc9ac11fa52fd571fcf4ac577cd7b070064cbd20430bf

Observation 478dbadf-863b-40f1-975d-abef171604a1 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-05T11:39:07.415062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:07.415062Z digest=sha256:beefda74b54743c2c29294579e9f8eab3f3f5d6765eb4fff840d64512b9aef6a

Observation d2fcec18-2d8a-43cb-87b8-89f18a9a9973 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 4

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unresolved
no resolver link, observed 2026-08-05T11:39:07.696720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:07.696720Z digest=sha256:9bbc2d4bc7eeeb99341270be934ad2e2da8080aac1910328034af5f80dc0e928

Observation 30258daf-6025-4cda-909d-ae50a1c2121e · outbound

This paper cites Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

Reference 5

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no resolver link, observed 2026-08-05T11:39:07.799624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:07.799624Z digest=sha256:2efb88327ceba725b3d09ebd28757de488e8ba0f779bc6e1f4fa94f64737214a

Observation e95df0ca-8209-4ac8-a455-a191b5d6c3c4 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:39:18.144859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:07.896091Z digest=sha256:80fb2db2b867e85efbb74a2bdd7014e1e7226b13f9bcb8b35db82249e49d0f13

Observation c896e01c-6493-43a0-87f8-8d18a22b97b3 · outbound

This paper cites Improving Code Generation by Training with Natural Language Feedback.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Improving Code Generation by Training with Natural Language Feedback

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:08.190656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:08.190656Z digest=sha256:a109aa4daf2552628b3d8926dc118fd7e1624953352252d28e1d08bd13b65872

Observation 91adf69f-744e-4ce3-a3ea-b71846212d47 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 8

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no resolver link, observed 2026-08-05T11:39:08.389632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:08.389632Z digest=sha256:8df37412f90d28d5214b4bea98d2b221eee5e3c7203e36ed596722e3b08bc4da

Observation 3b831d4e-3820-474d-8193-8fdf7d1afa25 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Evaluating Large Language Models Trained on Code

Reference 9

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no resolver link, observed 2026-08-05T11:39:08.546405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:08.546405Z digest=sha256:f7433d5a19b41df26b5915b184871f3d0180ab8b67769f534d38855224f8c258

Observation 8e75331a-14cf-4a92-a80b-5aa78d2d1c6b · outbound

This paper cites Teaching Large Language Models to Self-Debug.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Teaching Large Language Models to Self-Debug

Reference 10

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no resolver link, observed 2026-08-05T11:39:08.646073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:08.646073Z digest=sha256:1e1658b7fe18cbdf2713406d1be3fb9d191f248b7ed850b53989411001b14778

Observation f248e118-139e-48b1-9ad1-92cc0ce92cc9 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 11

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unresolved
no resolver link, observed 2026-08-05T11:39:08.789129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:08.789129Z digest=sha256:e2d359d44b20fa549ae044e61acd44d309febad3ea9c21086c7c1a63ead1566f

Observation 80388e5b-3ee7-468b-80f0-c65b9a11abe2 · outbound

This paper cites InCoder: A Generative Model for Code Infilling and Synthesis.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation InCoder: A Generative Model for Code Infilling and Synthesis

Reference 12

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no resolver link, observed 2026-08-05T11:39:08.945469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:08.945469Z digest=sha256:458cfe898c20f6bae5ae5462cfce7f560032f904c4c818d4a436f7c60ed8a088

Observation 3db69d6f-d2c6-4aed-a3d2-e410153c3255 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-05T11:39:17.755863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:09.090627Z digest=sha256:7c7bd4914f44f3dd1fa0f143e55ac3f80fd3d6df65b78381d8fad13e5b81c0ad

Observation 2b3f5a11-6673-409c-b093-37952272151f · outbound

This paper cites OASIS: Order-Augmented Strategy for Improved Code Search.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation OASIS: Order-Augmented Strategy for Improved Code Search

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:39:15.453410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:09.234962Z digest=sha256:20f56568cd4cf2a6807a1299359bc9d5f2fb3a42b0939618fc940292dd21e7e9

Observation ec55c4de-bb4a-4a43-8051-f68b636fa103 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-05T11:39:17.600534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:09.413195Z digest=sha256:02a5ce641b1742a37558a9c687997805011c772890918db45a1b901dd48825a1

Observation 4fc63992-62bb-43a8-aa0c-569202bc7975 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

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no resolver link, observed 2026-08-05T11:39:09.639974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:09.639974Z digest=sha256:38ae951b8e685397969c52ab542da878d6a0ec41aa43748b83cec44a20b8ea88

Observation 426c6239-d5e6-4b9d-ad46-6ac12fd6ca3e · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 17

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raw_fallback, observed 2026-08-05T11:39:17.403141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:09.784043Z digest=sha256:a18b4d02333a48d840e75dc9ac9e11112a6cfe556fe41672461dda35002eb03e

Observation 1d514e5e-ca99-400b-8e2e-d72a164bf5b1 · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Measuring Coding Challenge Competence With APPS

Reference 18

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no resolver link, observed 2026-08-05T11:39:09.970187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:09.970187Z digest=sha256:b56988bd518add054b0c780de4af7e19b434269c7511578750b2b642172c95a0

Observation ab50f55f-e741-46ef-82a1-b00b2fc62786 · outbound

This paper cites Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Fix Bugs with Transformer through a Neural-Symbolic Edit Grammar

Reference 19

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verified exact
local_arxiv, observed 2026-08-05T11:39:15.235798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:10.131806Z digest=sha256:518796b313d4f7a6886f7a1ebb754b2d5e059d43e22c5feaa781df07aeae8b8a

Observation caf87326-35a1-48e1-ae98-1d60ccf5cc6a · outbound

This paper cites A Survey on Automated Program Repair Techniques.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation A Survey on Automated Program Repair Techniques

Reference 20

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no resolver link, observed 2026-08-05T11:39:10.269219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:10.269219Z digest=sha256:14f2356459dff92d576ff6c5478e1b68c68e94db8274b7af3469f7cde271c295

Observation 1ccc794a-40ba-477a-8045-1fbbec2a5451 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 21

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no resolver link, observed 2026-08-05T11:39:10.418571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:10.418571Z digest=sha256:e08f0b67fb96c9cc2b78fbc909cf2310599b135089cc449ade8e6077f4b2882c

Observation eb8896dd-9edf-451c-92d7-23a0e4d4fe6a · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 22

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no resolver link, observed 2026-08-05T11:39:10.741113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:10.741113Z digest=sha256:bdbf06255f968601f8ed41575f0fca9e412d902a01bdac9d617a916bb0a72084

Observation dc1e9ed7-b83a-40f9-81b7-4251ae205a38 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-05T11:39:17.054788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:10.916253Z digest=sha256:5f842538d499a17a512ad752cf5cd1ea5ad8bb93aada07c750c687ba72382875

Observation afc647a3-709d-4e2e-845e-7223ea37fd4c · outbound

This paper cites StarCoder: may the source be with you!.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation StarCoder: may the source be with you!

Reference 24

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no resolver link, observed 2026-08-05T11:39:11.141276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:11.141276Z digest=sha256:1ad4ca7767738bb232e73debb914acc0ec9c7f1a740c16db6216012696063fa4

Observation f1691bad-1ecc-4b0c-9ebd-5356fe73ee47 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 25

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no resolver link, observed 2026-08-05T11:39:11.273471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:11.273471Z digest=sha256:5b550f743707f9d0204dbbed5be23cc1a7bc0f80d5f7d2098c47196f60287ad3

Observation 242d42c1-6051-4441-ba37-497e3cda0782 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 26

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no resolver link, observed 2026-08-05T11:39:11.412666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:11.412666Z digest=sha256:ebcbe11b8bc77faac9f4732249935a498049ede22c5117f014e51342db5dd58f

Observation 03253544-48e0-4945-94ce-3d04ba16689b · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-05T11:39:16.891370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:11.536653Z digest=sha256:28e4cb2715df9da82760a7dfe442bdb7228344d1971600eca7658deed43437e2

Observation 13685b9d-63fc-4e48-b7f5-a346f7a85960 · outbound

This paper cites An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning

Reference 28

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no resolver link, observed 2026-08-05T11:39:11.694046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:11.694046Z digest=sha256:a41e1229831f7cd925a7898184e003ba8658662951f60fc9de7244d08ea8665f

Observation c9eb86e5-70cf-45b3-9085-2a95969ec072 · outbound

This paper cites AuPair: Golden Example Pairs for Code Repair.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation AuPair: Golden Example Pairs for Code Repair

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:39:14.953806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:11.870592Z digest=sha256:6744dbc40413f496fbbbfa9cdd6a2f75845280654cee8a4755862738f50b8d7e

Observation e8bafda7-6ef8-4f28-8e39-0a04a1f81f91 · outbound

This paper cites Is Self-Repair a Silver Bullet for Code Generation?.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Is Self-Repair a Silver Bullet for Code Generation?

Reference 30

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no resolver link, observed 2026-08-05T11:39:12.054021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:12.054021Z digest=sha256:96055329c4dce033b299000c5df0442efb08148fe1fb708c0caf86b528919c1c

Observation 4b9936ca-6a5d-47ad-a52d-be1987967e3b · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 31

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unresolved
raw_fallback, observed 2026-08-05T11:39:16.741163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:12.230968Z digest=sha256:b8637f9b9525b1c043ef8b7c5dbe1271cdf41b23d8971922ae9d98b04d8e1b02

Observation 48aadabb-4982-4ed4-908b-4327f360413d · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 32

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no resolver link, observed 2026-08-05T11:39:12.391567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:12.391567Z digest=sha256:4fd5d21af40ce25338c00cfcc8164ea6df753bb6f913cf56ae446000892f7633

Observation a3e283dd-7e6f-44ba-9ca9-1790d4c7c945 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Code Llama: Open Foundation Models for Code

Reference 33

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unresolved
no resolver link, observed 2026-08-05T11:39:12.596724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:12.596724Z digest=sha256:2a9d14bafc23dbc09836da957f00a9d41111c0b3b4f1fb6e26529d6c3e800fd8

Observation 242435b2-9fbd-44d5-ae44-47f0114c6dbe · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 34

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unresolved
no resolver link, observed 2026-08-05T11:39:12.805662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:12.805662Z digest=sha256:a03d023da5a1ff576e18dfd3a716f5c721c79b31cf2459aab9f74333ea12f795

Observation bf157727-c633-4a43-ad19-1ae5733f1105 · outbound

This paper cites Reflexion: Language Agents with Verbal Reinforcement Learning.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Reflexion: Language Agents with Verbal Reinforcement Learning

Reference 35

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no resolver link, observed 2026-08-05T11:39:12.974007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:12.974007Z digest=sha256:4f7d6d62d58c11dff9632d3dde88217b3a2f24350ed16e04cb685fa9f852cc8e

Observation a6f68156-6f79-4cc7-9fc3-a64db8066c93 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Gemma 2: Improving Open Language Models at a Practical Size

Reference 36

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no resolver link, observed 2026-08-05T11:39:13.075569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:39:13.075569Z digest=sha256:2a2e3ddfb3647cfb8c01b95b6e023bfc0a3c1f04af22bad90311a45ad12677a7

Observation 6048539f-7e7c-458a-90bc-a150cdbf028b · outbound

This paper cites an unresolved cited work.

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Reference 37

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c55889a8-fc01-4a01-83a0-73479200de2a · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 38

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Observation 3de96624-e37d-447b-b724-d0f6464fc22f · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 39

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Observation 82919731-6052-40d1-bcaf-1cd60fcd1899 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 40

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation fa2a31c5-8297-4e07-a3e4-afdba8af1971 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 41

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Observation 15d49850-e17b-4830-ab9a-3d1049721017 · outbound

This paper cites Self-Edit: Fault-Aware Code Editor for Code Generation.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Self-Edit: Fault-Aware Code Editor for Code Generation

Reference 42

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Observation 8ee03c99-8908-4e57-b955-151774b883bb · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 43

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Source-reported events for the cited work

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Observation e1d02a06-62f1-441f-a554-2ccef80e06e9 · outbound

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ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step

Reference 44

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Observation 53bb72e9-50f0-4ba4-9be5-43454724d480 · outbound

This paper cites an unresolved cited work.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation Unresolved cited work

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 864b71e7-0383-4dcb-b4cf-59c6b9d6089f · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 46

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no resolver link, observed 2026-08-05T11:39:14.294910Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T11:39:14.294910Z digest=sha256:5258eb97ee1060430203b66cebe2b805011d1fd0045fc1d2f95e50aeb6cf3f6b

Observation 7624ae71-975a-43aa-a8b1-f8afd8e1272c · outbound

This paper cites In Proceedings of the 27th ACM SIGSOFT international symposium on software testing and analysis.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation In Proceedings of the 27th ACM SIGSOFT international symposium on software testing and analysis

Reference 2018

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:10.562521Z digest=sha256:69a66142e5c00ceda22703f1050651715fce891badb809753bd160233ca81a40

Observation 5a8cd051-e7fe-430b-8c0d-9530494eff92 · outbound

This paper cites IEEE Transactions on Software Engineering 48, 4 (2020), 1385–1399.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation IEEE Transactions on Software Engineering 48, 4 (2020), 1385–1399

Reference 2020

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 0eee9d99-ff2c-4fd6-b3b9-d4f168cd6a46 · outbound

This paper cites What learning algorithm is in-context learning? Investigations with linear models.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation What learning algorithm is in-context learning? Investigations with linear models

Reference 2022

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation db848849-9c12-48f6-bad6-822aff96a46e · outbound

This paper cites ACM Transactions on Software Engineering and Methodology 33, 2 (2023), 1–69.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation ACM Transactions on Software Engineering and Methodology 33, 2 (2023), 1–69

Reference 2023

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:13.986462Z digest=sha256:9c97382faa7d0f2756def79bdb39f7100c97979e1c1817fb476f916dafffced0

Observation 0e36ccb8-1b65-412e-acb0-0b895d9bc3f4 · outbound

This paper cites In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis.

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T11:39:13.690403Z digest=sha256:aac043c8836e52ce555f02c0edd530e6f4252d8785455056460acb0b4a889539

Pith citing papers

Observation a8e79e57-d1d3-47d8-b72d-875511bb4392 · inbound

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair cites this paper.

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation

Reference 59

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arxiv_id, observed 2026-05-19T23:07:51.140891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation ca63382d-8382-458f-adcc-d3bcdca4ff80 · inbound

BLAgent: Agentic RAG for File-Level Bug Localization cites this paper.

BLAgent: Agentic RAG for File-Level Bug Localization ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation

Reference 69

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verified exact
arxiv_id, observed 2026-05-20T09:33:10.717457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 28afb0ae-2282-4451-83e2-dc6234e0b32e · inbound

BLAgent: Agentic RAG for File-Level Bug Localization cites this paper.

BLAgent: Agentic RAG for File-Level Bug Localization ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation

Reference 69

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verified exact
arxiv_id, observed 2026-07-04T01:09:18.429857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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