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Paper Citation Record · LEDGER

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities

As of 13 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 0 inbound Pith citation observations for arXiv:2501.13742.

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

pith.paper-citation-record.v1
2501.13742 v1

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:43:03.368913Z

measured 81 of 81 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

81 of 81 outbound references displayed

  • verified exact1
  • verified fuzzy14
  • unresolved66
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02d84f76-499b-4333-aed4-bb20810cbfcf · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation 94859f8f-46da-4e46-8b72-3d3fcacc67fe · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 2

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Source-reported events for the cited work

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Observation 064b47f1-76e6-49a1-a44f-38bc17725d4b · outbound

This paper cites Program Synthesis with Large Language Models.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Program Synthesis with Large Language Models

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites CodePlan: Repository-level Coding using LLMs and Planning.

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

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89818690-6712-48b7-9bef-ea0c78aabcb7 · outbound

This paper cites MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 713cd56f-6107-4c51-8103-c29fb9a702bd · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 6

Resolution
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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 382b3e63-f84d-48fc-8cd0-b10b4bf0cbd2 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 7

Resolution
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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 cfbd46be-4877-4866-84af-7674c47d778a · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 8

Resolution
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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 5ec6646b-9b84-4d53-8fe6-2b38262dc650 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Evaluating Large Language Models Trained on Code

Reference 9

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 975c629c-4f31-4fc7-890e-c9eaaf698027 · outbound

This paper cites Unified Active Retrieval for Retrieval Augmented Generation.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unified Active Retrieval for Retrieval Augmented Generation

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation bad4a7f0-7469-42da-9782-488f6b576586 · outbound

This paper cites PanGu-Coder: Program Synthesis with Function-Level Language Modeling.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities PanGu-Coder: Program Synthesis with Function-Level Language Modeling

Reference 11

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 96493211-8e98-44f8-9b65-e40b3d19b562 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 12

Resolution
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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 7594dfa3-da00-4a25-8777-f8d8b8c801ab · outbound

This paper cites Dahl, Madeleine Bates, Michael Brown, William M.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Dahl, Madeleine Bates, Michael Brown, William M

Reference 13

Resolution
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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 bdf8c764-c2a5-45cf-a764-6a635ee48561 · outbound

This paper cites Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Generating Code with the Help of Retrieved Template Functions and Stack Overflow Answers

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 794695cd-97da-44f7-b702-dc11ef3147c9 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 15

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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 1bb0dd05-dd3a-4781-b8e4-a96c9e725328 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 16

Resolution
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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 cd2a570d-ec50-4954-be39-f31df2829aa7 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 17

Resolution
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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 63c836bb-c0a6-4d6a-829b-814fadcdfd0f · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 18

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9b7fcf69-b4ed-4780-b919-d8e70d8192d2 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 19

Resolution
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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 839f87fc-6ba3-40c1-8149-c5bf4c87e608 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e1c3db8-092d-47d3-a5b5-ffd71059f64f · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 21

Resolution
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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 3d15751b-4acb-4e2f-a8ea-32aa0167b248 · outbound

This paper cites Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, and Ming Zhou

Reference 22

Resolution
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Source-reported events for the cited work

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Observation 4373286f-5c64-46ce-8ef0-700654e44ffa · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5d6505cc-d0f7-4ac8-bd7c-90d1188dabb4 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 9ed2a184-33ba-49dc-89ce-a83283864550 · outbound

This paper cites Hashimoto, Kelvin Guu, Yonatan Oren, and Percy Liang.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Hashimoto, Kelvin Guu, Yonatan Oren, and Percy Liang

Reference 25

Resolution
verified fuzzy
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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 b0f53c0a-60fa-4866-aedb-cd0d4ba2fd16 · outbound

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An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 26

Resolution
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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 4247a594-9334-4f04-adcb-e85a6350cdbe · outbound

This paper cites Girshick.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Girshick

Reference 27

Resolution
verified fuzzy
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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 1ee56d40-31a9-44fe-8cb7-816e044cc3a1 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 28

Resolution
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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 4e145be7-b7d0-4ca4-b326-b8c78670d471 · outbound

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An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a5253471-b7b8-4cfc-b4af-b49f392346b8 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 30

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f135b9dc-3ada-4529-9e36-f6807206f860 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 31

Resolution
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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 14b72172-a2cf-4fe5-af0b-75038b8c45b4 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 32

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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 f911c28d-815b-44f0-b165-235604f42f83 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 33

Resolution
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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 0f67be9e-aae2-44de-95e7-47916ddbd358 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 34

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c2ffe0e3-a8a9-42ea-814b-a0bd462e58de · outbound

This paper cites Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig

Reference 35

Resolution
verified fuzzy
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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 eb219c63-048e-4791-92fa-3ad69f28bc97 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.352548Z

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=2026-08-10T15:43:03.173164Z digest=sha256:2594f60205f594b1ffa62b04e3c02241ef74d34d5a4bd3404f6ca03000e1d20d

Observation 21378ef4-0192-4628-8433-1c90dbbb3c0f · outbound

This paper cites Fabbri, Caiming Xiong, Shafiq Joty, and Chien- Sheng Wu.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Fabbri, Caiming Xiong, Shafiq Joty, and Chien- Sheng Wu

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:04.337094Z

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=2026-08-10T15:43:03.177631Z digest=sha256:1966228249e4bab10b5409db844cd90efa8706944953abbdd56174e463a51937

Observation 7d0d347b-6bac-4da3-9769-3a9901151176 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.321826Z

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=2026-08-10T15:43:03.182115Z digest=sha256:754214d10bce0366fb4cb05f8cf8359fa08d122586fae66e8bf84e714cc4b527

Observation 8e7e1df0-56f8-448b-9f23-76460d933a88 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.306417Z

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=2026-08-10T15:43:03.186595Z digest=sha256:19ef2e10e06610a4f879b5edd5bd039a82a1636171521886225f2a9dfdb79fe3

Observation 8f74c53b-3906-46e1-b5de-54940ef7aa09 · outbound

This paper cites Structured Chain-of-Thought Prompting for Code Generation.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Structured Chain-of-Thought Prompting for Code Generation

Reference 40

Resolution
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no resolver link, observed 2026-08-10T15:43:03.190960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.190960Z digest=sha256:b9d4e19e848976f308cc6acc86b7a4f25c385b68ade725bcf854ad48d72b99eb

Observation bf97d694-b3d0-4551-919e-2feb7961153d · outbound

This paper cites SkCoder: A Sketch-based Approach for Automatic Code Generation.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities SkCoder: A Sketch-based Approach for Automatic Code Generation

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:43:03.563619Z

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=2026-08-10T15:43:03.195972Z digest=sha256:82968c2c719b4934bc6a5254a416d11867b40a8b867c8b1204b914622e0168d3

Observation c65ff91d-e78b-4bd7-9a40-bcd13889c1a8 · outbound

This paper cites AceCoder: Utilizing Existing Code to Enhance Code Generation.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities AceCoder: Utilizing Existing Code to Enhance Code Generation

Reference 42

Resolution
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no resolver link, observed 2026-08-10T15:43:03.200420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.200420Z digest=sha256:8a9a37e5f90e9af7561e8a0584955b488eebbb10b536555d33b7a89eb695d608

Observation 949d7e76-a6a3-4171-bbe6-40034918dfcc · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.290706Z

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=2026-08-10T15:43:03.205063Z digest=sha256:edda46b2b20d8fdc6d06938a4e4827b51282d6e304d14106834f2ac15aa642c0

Observation 13378cad-0248-4fa9-8bec-d48a39e3d993 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.209226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.209226Z digest=sha256:6470849fc04edd25c298277443ac92f46737d7f154432f4c9110edb486fd95b0

Observation 56bc5901-58d9-4836-92b5-6bbbd03b56b6 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.262797Z

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=2026-08-10T15:43:03.213591Z digest=sha256:88bf79796fd5241e73c8e7f88cf46c210864aee8af080e331d1dc65790408db3

Observation 804d17b6-dc97-41d5-b1e5-918aba92e372 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.245635Z

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=2026-08-10T15:43:03.217709Z digest=sha256:340b6f1d1e9057d2c314cf3cafdad7b6fdde1d5f41226debd755c41da2f33191

Observation e5ec809d-d915-44b6-996f-6739653b163c · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 47

Resolution
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no resolver link, observed 2026-08-10T15:43:03.221959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.221959Z digest=sha256:cc5a01135227dd4fadbc2dcd9a1ec04c74a3d3b1dca8e764fbe2cf11529cff79

Observation 026bbf01-95cf-40b0-af20-ac59737c35c9 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.229144Z

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=2026-08-10T15:43:03.226388Z digest=sha256:649561d67560df375e9f5c3f240c32dcd2d26277abbe931314aabbb3837ed23c

Observation c62471f2-7e57-4676-9fcc-993ce70f1f10 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.206376Z

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=2026-08-10T15:43:03.231075Z digest=sha256:be6a6912f9524aa681df641294954e5936f04ddde2d036622d0b05238c40e705

Observation d20f1990-ecd4-4c99-bf3e-a7b2a7160e8d · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.189004Z

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=2026-08-10T15:43:03.235455Z digest=sha256:3c2392d2f68051b50a0d57edfa782758f13e9c3556df3d99876de9b1d8691e45

Observation 4afdfb40-a503-475e-bc03-cca9f2c39d8f · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.172565Z

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=2026-08-10T15:43:03.239634Z digest=sha256:1973da2b08f04697251e0e236bd3380a92c9b9ac211155dcb408d41d28e6b4d8

Observation 3db45219-c62d-48cb-9944-a102217fc69b · outbound

This paper cites GPT-4 Technical Report.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities GPT-4 Technical Report

Reference 52

Resolution
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no resolver link, observed 2026-08-10T15:43:03.243996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.243996Z digest=sha256:22cfbb02c56ad500074805a962bd32fd07861d85a787ce47b76fa714b164acde

Observation 130d96eb-1246-427b-bc30-4f1140fa08fd · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.248220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.248220Z digest=sha256:e20e0603f602fa27f3fbb753b062a4b6747bae986693da812492e073c59206d8

Observation be0e2b0b-839c-42c7-97dc-8b5a9432049e · outbound

This paper cites Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, and Kai-Wei Chang

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:04.143884Z

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=2026-08-10T15:43:03.252576Z digest=sha256:2d5bcef769218fbd764802a8a291b7ba65d098ca85d3bbb454178257f594857a

Observation 8f2b7af6-f584-41d8-b8c8-91cbb8ba48bb · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.127279Z

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=2026-08-10T15:43:03.257223Z digest=sha256:561de0e2323b2b1e7f015ec4d444daff7462d65486337684c0972dbef1a9ac6d

Observation 27691d7b-a54f-48d3-8b42-31fd063c1a63 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.261529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.261529Z digest=sha256:37269ee436c6b8039bc5b8ecb1f2d60c87a31b17f074c4f61c75b76c68c26318

Observation 236ce1c5-1ed1-4fcd-b4c2-c53d23c7b943 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.099122Z

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=2026-08-10T15:43:03.266342Z digest=sha256:05de125da187503fcf250914e476e4be84b88b79715c4ab7309d62c111712727

Observation eb8c9cec-dc8d-4cce-9587-fdae9a04d0ab · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.270669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.270669Z digest=sha256:9fd3157551aee7a94cbe22fc7afff7fec61d345966be8996ddfe69c9feb9e930

Observation 6f78df1b-4ed7-4041-ada5-96fadb1b0fd6 · outbound

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

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Code Llama: Open Foundation Models for Code

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.275231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.275231Z digest=sha256:3b6a96ee897593cd6d9014bf63dc823057a7c8af79665c32112e983d2ec14c53

Observation 2dd48957-c743-440e-8503-d22a49ee58a6 · outbound

This paper cites CoCoSoDa: Effective Contrastive Learning for Code Search.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities CoCoSoDa: Effective Contrastive Learning for Code Search

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.279857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.279857Z digest=sha256:10537986041ef83fa2bba22dcec12a81073c3c2321c8e37a76edf25272260294

Observation 827a701f-71c8-471e-8ed1-eee766bc75d8 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.082206Z

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=2026-08-10T15:43:03.284287Z digest=sha256:11c33d6febcbe770834dbcf2ae6bd4d6c392ab29cb490e2cbee76c4997fd9907

Observation c84f7aef-a6d7-4b71-ac1b-92ceb0d21b9f · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.054950Z

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=2026-08-10T15:43:03.288596Z digest=sha256:bf91820483537581d285ed284202aec01c14f47cbba7c71daf6187febfec1b4b

Observation a0c2169e-ee97-4030-829e-9b832de5bf6e · outbound

This paper cites BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.292964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.292964Z digest=sha256:177689ad194f63bd86dcae374543166287b8c90de56d264e9610cc2b7ddd838c

Observation d30ad73b-b116-416b-b15d-44ea20c4126d · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:04.039680Z

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=2026-08-10T15:43:03.297742Z digest=sha256:4132d96f49650dd634071584bbc310b4838b7084ecc2566056878ef7ac43ddef

Observation cf74f76a-6a61-419d-9e21-3a9f5e8eedaf · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.302403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.302403Z digest=sha256:6252ac0a4fea877194e6e8f3ba15ee0692d68d2a77d58db067bc0bf0d6be236b

Observation c0f5b2b5-ee53-4132-bf46-91d69e356ca5 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.306802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.306802Z digest=sha256:140e393f3ba08a990d4f51fb8d753e329dbc1b9a4e1af5d1743834948cbc300c

Observation 1ff94d33-86db-4974-8301-0276cfd2fb58 · outbound

This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.315693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.315693Z digest=sha256:c7b49d1dd841cf6b498ea85d4376d5c522d0d0ec8a71b023a25c680f4a97f4e3

Observation afcac52f-f927-4b10-a7f7-e933e3dfad8a · outbound

This paper cites Joty, and Steven C.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Joty, and Steven C

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:03.991886Z

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=2026-08-10T15:43:03.320164Z digest=sha256:bd8bb8e8d6d1cb9b57ae6aa896bf497d90b541ce1f1056ebb498b10cb7b04c49

Observation 6bf94a8c-98ef-46e4-b29c-f3fc0afcd0a1 · outbound

This paper cites Xu, and Graham Neubig.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Xu, and Graham Neubig

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:03.977583Z

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=2026-08-10T15:43:03.324721Z digest=sha256:cc1fe50be81fa0037da270397ed194c7b6da4da8363257a10058bb2ba2867bb9

Observation 8b2517ac-a174-4abf-8f75-eb87b3475da2 · outbound

This paper cites Repoformer: Selective Retrieval for Repository-Level Code Completion.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Repoformer: Selective Retrieval for Repository-Level Code Completion

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.329026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.329026Z digest=sha256:4903be0e754d5ae4d56f502f37bb196a751ab075a3c537aef072493a78c7d7a4

Observation 54d236bf-ce98-4639-8819-d6494f9bc137 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:03.963238Z

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=2026-08-10T15:43:03.333890Z digest=sha256:c013b9ef319621172cc71a40d48ffec1f00994493e84f2ddcfde35e4d0ecc3b7

Observation 10a66182-52ca-4380-9cfe-3f35881bfd4c · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:03.949017Z

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=2026-08-10T15:43:03.338509Z digest=sha256:7f7fcd9cbcdd5ae3baee9160a7b0a31c2484de74ca840904c55778c5bde681c3

Observation db2d44ef-7b2f-449a-8829-d0eb25283bbe · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:03.934172Z

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=2026-08-10T15:43:03.343098Z digest=sha256:56fde3fbefd12a83aa09a368b2a9cae4163f2a59c02ce63310d44d5df29184c0

Observation 44aee5cf-c165-41eb-a73b-1c76afbfdf6d · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:03.917825Z

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=2026-08-10T15:43:03.347414Z digest=sha256:d13d8d00513780727cd7e52ecaacbd91d680dab27e5b012c6ff44ce86ad4b91c

Observation 216f3584-cba4-4fdb-a5ea-7764dd84399e · outbound

This paper cites Zelle and Raymond J.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Zelle and Raymond J

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:03.902840Z

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 c21654d5-e893-4d7a-bfc9-fb818e989678 · outbound

This paper cites an unresolved cited work.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-10T15:43:03.887918Z

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=2026-08-10T15:43:03.355762Z digest=sha256:606db2efe196bd8051ce75f3d85b495117028b8d2033fc67627c7cc52fc1011a

Observation 233e6ef9-2377-4abb-a51e-6ca603826afa · outbound

This paper cites Xu, Zhengbao Jiang, and Graham Neubig.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Xu, Zhengbao Jiang, and Graham Neubig

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:03.873684Z

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=2026-08-10T15:43:03.360351Z digest=sha256:f7512e80e80f64d7cc5688e6636731ed4452cc2c6a143c3e7f31012a2c586688

Observation a8742269-627a-42ba-bbec-3b6c40a5b80c · outbound

This paper cites Xu, Zhengbao Jiang, and Graham Neubig.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities Xu, Zhengbao Jiang, and Graham Neubig

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:03.859518Z

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=2026-08-10T15:43:03.364777Z digest=sha256:e43834673eedd8718d5b51144b23c40edcf752679460c9249aad6f73615d6d85

Observation d055ad6f-fae2-4c42-9134-f8b9a5b38340 · outbound

This paper cites XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities XLCoST: A Benchmark Dataset for Cross-lingual Code Intelligence

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-10T15:43:03.368913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:43:03.368913Z digest=sha256:fbe22ece5a985fc7b5c62f900026a849f4b62dc3b60b5bbdd3d3d2c01deb2b7f

Observation 21702932-c600-467c-87ed-f0af591a40c6 · outbound

This paper cites In Proceedings of the 2018 Conference on Empirical Methods in Natural J.

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities In Proceedings of the 2018 Conference on Empirical Methods in Natural J

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:04.462242Z

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=2026-08-10T15:43:03.127643Z digest=sha256:949843f5393221c921789584bbe16aa76e01f674cb2defa06e2c26234b318dd0

Observation 7eec760d-f7f9-4bed-ad1a-28d95ad39483 · outbound

This paper cites In Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022 , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.).

An Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities In Findings of the Association for Computational Linguistics: ACL 2022, Dublin, Ireland, May 22-27, 2022 , Smaranda Muresan, Preslav Nakov, and Aline Villavicencio (Eds.)

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T15:43:04.006543Z

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=2026-08-10T15:43:03.311330Z digest=sha256:b91cccca976a292ad5bb6f9e1282a0d698f5344bae1ce49ee9b935be24d2f6cc

Pith citing papers

No inbound Pith citation observations are available.