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Paper Citation Record · LEDGER

RepoFusion: Training Code Models to Understand Your Repository

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2306.10998.

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

pith.paper-citation-record.v1
2306.10998 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:24:15.329959Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:07:04.834474Z

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 72a4afd8-cab7-466c-b797-3073e87a02b0 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey RepoFusion: Training Code Models to Understand Your Repository

Reference 243

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T13:32:17.528921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:6f38703bc09ad1593016e8e4e566aa47e1bb3da11ec95b5d7cb18cf131b63efd

Observation a09352d5-155f-414e-b53d-6a4c4ca08c5c · inbound

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

A Survey on Large Language Models for Code Generation RepoFusion: Training Code Models to Understand Your Repository

Reference 244

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:18:06.676480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:5441d0e8c2971a0aab3a1eb4fb6f682f6e53b9ddd73e5c4ed2335618fd198279

Observation 2e2cb812-1518-49a7-bfff-a1f2760f19ec · inbound

Optimization Hyper-parameter Laws for Large Language Models cites this paper.

Optimization Hyper-parameter Laws for Large Language Models RepoFusion: Training Code Models to Understand Your Repository

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:45:48.953393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-23T20:45:31.427677Z digest=sha256:e5e99dfb93f7c2fc489d11a52fe9169ddbd83b182e4d47a262105543d7508ad8

Observation bc5a08fd-4022-41bf-a647-fd4bbc5fded2 · inbound

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

FullStack Bench: Evaluating LLMs as Full Stack Coders RepoFusion: Training Code Models to Understand Your Repository

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T05:20:05.449223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:20:05.449223Z digest=sha256:cb64b1b518b85512e54f9f502ba7436ef4131e7fbc624f0a6ec7086eb1609700

Observation 4f5f6c13-4709-4e7f-bcad-9e8bc29ec68d · inbound

Improving FIM Code Completions via Context & Curriculum Based Learning cites this paper.

Improving FIM Code Completions via Context & Curriculum Based Learning RepoFusion: Training Code Models to Understand Your Repository

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T10:30:01.770105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:30:01.770105Z digest=sha256:71ec80cd380085aa2fdcb1fffb644c9d2c0f1fa799f0eabaa91f46bfe1a92197

Observation d19e9b50-9bde-4a34-a09f-4bbbe8659c67 · inbound

Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion cites this paper.

Structure-Aware Corpus Construction and User-Perception-Aligned Metrics for Large-Language-Model Code Completion RepoFusion: Training Code Models to Understand Your Repository

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T20:24:15.329959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:24:15.329959Z digest=sha256:b1c4fe6220ace1505932ee13ac5be5e7b165b350c26f8c9fe22920d9184c302b

Observation 2874b730-b5fd-44ee-88eb-e4d9256703fa · inbound

Knowledge Graph Based Repository-Level Code Generation cites this paper.

Knowledge Graph Based Repository-Level Code Generation RepoFusion: Training Code Models to Understand Your Repository

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:23.033057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:38:23.033057Z digest=sha256:f1958fe872f036d707ed2c3f879b58d99e4a91d41eefb5c38ef9f7a24133fe6f

Observation 85dc2771-23fb-4de9-b3e9-f615f5ecf817 · inbound

CoRet: Improved Retriever for Code Editing cites this paper.

CoRet: Improved Retriever for Code Editing RepoFusion: Training Code Models to Understand Your Repository

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:33.863873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:33.863873Z digest=sha256:f21ccb54c3001fe3fa9a526b05a618049dc0eb2502343f6e24f5a9f4ab05cc45

Observation 4e7becb7-381f-4bf0-b316-81a62aafbf67 · inbound

Enhancing Project-Specific Code Completion by Inferring Internal API Information cites this paper.

Enhancing Project-Specific Code Completion by Inferring Internal API Information RepoFusion: Training Code Models to Understand Your Repository

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T13:16:49.174036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:16:49.174036Z digest=sha256:372ed4202345f8a6d4778c52639e3db645ac0e28e494816d6235b8327a8a1fe7

Observation b1e3f713-ba00-4a12-ad56-ca5395bb517b · inbound

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation cites this paper.

Exploring the Challenges and Opportunities of AI-assisted Codebase Generation RepoFusion: Training Code Models to Understand Your Repository

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T21:47:57.544933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:47:57.544933Z digest=sha256:4de89e64a96c52dcb7a641cafdd3abd1fee84acdc6962d1b8c10bf56bc9b0b2d

Observation 6f37606f-6510-453e-b7b8-27d700ed00db · inbound

RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models cites this paper.

RepoDebug: Repository-Level Multi-Task and Multi-Language Debugging Evaluation of Large Language Models RepoFusion: Training Code Models to Understand Your Repository

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T10:28:38.260832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:28:38.260832Z digest=sha256:3f8cea43a98209b60cc1560b52d8b71f5bdf03571daa8314cfec3540ddd667aa

Observation 8e2dcd9d-4718-4192-bf92-f9f28708e8dd · inbound

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion cites this paper.

GRACE: Graph-Guided Repository-Aware Code Completion through Hierarchical Code Fusion RepoFusion: Training Code Models to Understand Your Repository

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T04:48:38.168535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:48:38.168535Z digest=sha256:584edd6600ef27a56656d5776229f55736362d9feb2cdc34f678464a289fd3f6

Observation fec4f7e5-0f07-4d75-ae6e-4b5586c0bf88 · inbound

SWE-QA: Can Language Models Answer Repository-level Code Questions? cites this paper.

SWE-QA: Can Language Models Answer Repository-level Code Questions? RepoFusion: Training Code Models to Understand Your Repository

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:41:37.749453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-18T16:41:29.829199Z digest=sha256:293db92a6c7c1fc6df798beb4ba62527ab2ae8046ac1b74fc1d57ea5527e60e7

Observation 47df5a21-ed4d-4563-acd1-fb473df33f97 · inbound

In Line with Context: Repository-Level Code Generation via Context Inlining cites this paper.

In Line with Context: Repository-Level Code Generation via Context Inlining RepoFusion: Training Code Models to Understand Your Repository

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:08:12.823923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-16T18:04:56.915339Z digest=sha256:480e2b1f2aa91983ba5be83fdd6dc4628046b24472c66084fee5cab5d65e894d

Observation 1a2d83cf-98a1-4da5-b98b-7e62b141a9ef · inbound

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion cites this paper.

Better Call Grep: Evaluating and Improving Grep-Like Lexical Retrieval for Repository-Level Code Completion RepoFusion: Training Code Models to Understand Your Repository

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-03T06:14:28.207052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:14:28.207052Z digest=sha256:bd2c769c28229130e6ffb62eb5d40673fe69119be7ed0c38b989bf14fb386941

Observation 1e57ad5c-7971-4106-bdd0-bdee0f07fdb7 · inbound

REAgent: Requirement-Driven LLM Agents for Software Issue Resolution cites this paper.

REAgent: Requirement-Driven LLM Agents for Software Issue Resolution RepoFusion: Training Code Models to Understand Your Repository

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:51:00.033186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-10T17:56:32.201591Z digest=sha256:7330d0818d40afc03c59210d2783c9e5352e368be2431c13544bbf4b228d5c8a

Observation c03a091a-b534-4713-b1f6-fcefa2df3981 · inbound

Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions cites this paper.

Benchmarking LLM-Based Static Analysis for Secure Smart Contract Development: Reliability, Limitations, and Potential Hybrid Solutions RepoFusion: Training Code Models to Understand Your Repository

Reference 36

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T02:22:06.984564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-13T02:18:05.137488Z digest=sha256:73759a01d1e74e3b9a157901cc72a693cbf71e6bd6a124ef07afdfc2a835fba0

Observation 9d648e9a-1ca7-4278-82d0-33206a828d59 · inbound

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution cites this paper.

Code2LoRA: Hypernetwork-Generated Adapters for Code Language Models under Software Evolution RepoFusion: Training Code Models to Understand Your Repository

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:07:04.835754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T00:05:29.087525Z digest=sha256:1f66c2e99106b075171b62819c1401bf19bc262720d7fe832e24d0b5a36bdb1d