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Paper Citation Record · LEDGER

CodeRAG-Bench: Can Retrieval Augment Code Generation?

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2406.14497.

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

pith.paper-citation-record.v1
2406.14497 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 2026-08-07T15:38:23.177678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T11:59:51.178972Z

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 9cc47e1f-6995-4063-a709-95aac2f2d366 · inbound

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

Knowledge Graph Based Repository-Level Code Generation CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:38:23.177678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:38:23.177678Z digest=sha256:cb46cb1867bdecc0c74df5935554be832c17d2fadf1f2287324a76673de5e292

Observation 681d0976-9bba-41c0-9206-90befc5ca0a4 · inbound

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution cites this paper.

CRAKEN: Cybersecurity LLM Agent with Knowledge-Based Execution CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:23:52.512872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:23:52.512872Z digest=sha256:c74454aa260cf3340495812e84a979f073c533db99aed9a523662f42570c6b34

Observation cc84443c-cd6b-450a-ba3b-6c51ad696b09 · inbound

CoRet: Improved Retriever for Code Editing cites this paper.

CoRet: Improved Retriever for Code Editing CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:34.536459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:34.536459Z digest=sha256:e17437f6fe410111b6c5b197af61775912843150890004111fb0222ac8bd629e

Observation cd78f9d0-5bad-4940-8be6-cfb91d10fdd1 · inbound

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval cites this paper.

CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T12:07:58.407396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:07:58.407396Z digest=sha256:9944135e0885945f8663203dd5aea352f3f8ea90480f95bf87b42bb089777f57

Observation 82b6ca1e-e86a-4ee1-b804-37f957fe9707 · inbound

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization cites this paper.

SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T23:02:57.428267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:02:57.428267Z digest=sha256:d089bc7266469a0dacd188f0937e81e73521e3312465e817cb91f726f28946ec

Observation 2c20489a-6057-44e2-9120-ea4f45e42606 · inbound

ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis cites this paper.

ChatHLS: Towards Systematic Design Automation and Optimization for High-Level Synthesis CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:02:07.826223Z

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.

source=arxiv_source observed=2026-05-19T06:58:27.279482Z digest=sha256:72eedbc96eb12940947a25cf5e72546a7f52f05157e7c543f056025a50f744ef

Observation 8a66311f-56a2-4903-afdf-f613df449eb9 · inbound

Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support cites this paper.

Never Come Up Empty: Adaptive HyDE Retrieval for Improving LLM Developer Support CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T15:08:50.628419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:08:50.628419Z digest=sha256:38ecdd8160759323253e1822216ec2f0dc5da0ee61529de1843483525cd6f0e2

Observation a752bde5-fb42-4f52-ba0a-2b004d9f9fd3 · inbound

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension cites this paper.

SitEmb-v1.5: Improved Context-Aware Dense Retrieval for Semantic Association and Long Story Comprehension CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T00:46:56.253558Z

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.

source=pdf_text observed=2026-05-19T00:44:07.893905Z digest=sha256:b60fd61c62323d089b070e67d87f93fd270bb5f2cb57abefa7260fdb5c65e1dc

Observation 02d08ff2-f797-4a6d-9187-7d7361291997 · inbound

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention cites this paper.

EyeMulator: Improving Code Language Models by Mimicking Human Visual Attention CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T20:56:51.812078Z

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.

source=pdf_text observed=2026-05-18T20:54:30.449792Z digest=sha256:9e67203b065590ff0555b738ba0dc61fedbe889d476d5281571c55799f1a251b

Observation 07d420c3-826f-477f-b747-7bdaac178c46 · inbound

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation cites this paper.

ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-04T21:33:59.742968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:33:59.742968Z digest=sha256:290e88295d94f4530ac214d8698454bbb0710ed87c7d340456ece496afaf962e

Observation ec04473b-6aec-4354-ad25-97baa46392ea · inbound

SERA: Soft-Verified Efficient Repository Agents cites this paper.

SERA: Soft-Verified Efficient Repository Agents CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-03T07:17:13.450972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:17:13.450972Z digest=sha256:4efa9cd796de1ce08d41f79a17c21a74590b3704ae4571ae253bcab2140d80ba

Observation ea15f7e2-2f63-4be2-ba9d-4a4f91f171bc · inbound

Deepchecks: Evaluating Retrieval-Augmented Generation (RAG) cites this paper.

Deepchecks: Evaluating Retrieval-Augmented Generation (RAG) CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:09:38.751885Z

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.

source=pdf_text observed=2026-05-15T02:09:15.827929Z digest=sha256:d63d6e191605518ef3e17a2a545a7a33b91964b61716c19d2db847932efa7293

Observation 51f39eeb-0257-4ff3-b54d-c52e2f749962 · inbound

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors cites this paper.

On the Road to Personalized Code Intelligence: Portraiting and Assisting Developers Based on Their In-IDE Behaviors CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:13:16.600324Z

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.

source=pdf_text observed=2026-06-29T06:54:47.741975Z digest=sha256:02efd6f3b803fc69b5d199fe5b7c8485b18f7997ef425a96cccca2be0b99536d

Observation 6e260f4e-2111-4c59-9730-2712c84b7776 · inbound

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions cites this paper.

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions CodeRAG-Bench: Can Retrieval Augment Code Generation?

Reference 138

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T11:59:51.181323Z

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.

source=arxiv_source observed=2026-06-26T07:22:34.547816Z digest=sha256:e2139ca466b7e36439100ad7d4fdd2b90336c30f1c5666b1c97414c0dfd14e1d