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Paper Citation Record · LEDGER

RepoFusion: Training Code Models to Understand Your Repository

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 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 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:23.033057Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:53f5a875797adb019ec3d023fa539d967688b2fe795a4b71b05767b3eebaa793

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T20:18:06.304134Z digest=sha256:31a2f0673e7043ee4780863ba2922d0bcaa8928d44c307d7549789d6fbfc3a49

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T20:45:31.427677Z digest=sha256:52d2e060df23be5b30844fb06a4eeff801ad7c76f056c2b63d4e81e22c26419c

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=sha256:0f8e20cc55c682127e786f7bbd9815b3921f5d0b04f06139e3322df300d289cd

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=sha256:2e64e5e93b7326777e8c2775901a580f17a6abd62170381f84f6e5a594c052a6

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=sha256:50804f61ac3c754b4fd527bf7026acf2fba29a19f36cb958aed873c7391d7ef5

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:b02bdc86d16a3ceaa3cb1f2eb1dc80cbd862e6de37dbb60699b158dec48e4964

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=sha256:1cb2a8e019f8cf11467b61f10a5a864dcd444d0faaad026c23f52eb0e7fde59c

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:b5cabc77e3e8c61507281193f7e11d467bf825cab51b42e1d6b4e4e1c453c9f3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T16:41:29.829199Z digest=sha256:3f90d1b677b1794d5298acda8b2210ba41ad768235eb15fcd63e477a867fda16

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T18:04:56.915339Z digest=sha256:f0566e81d4743da972946200169050cb3eeb93f42707e0323f8f8633095ee421

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=sha256:3b0db9cdc7a795ae373334e14b2bd8c491e4d87477e0bbd8cd5b1ad2503a2f5d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:56:32.201591Z digest=sha256:c2cfe85a3a95834c4763efdb0681eb0655c9a3a5bda60f9a06c0abcc82b5ac3a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:18:05.137488Z digest=sha256:448fe1811ee96a9e1f0ab186e413ef6ae94cef0bb53f8c4c73aeaffb0781534f

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T00:05:29.087525Z digest=sha256:8cd74bcafe9103716114fe883a455b26189b8d051da2da81a39afa5499f73749