Paper Citation Record · LEDGER

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

As of 21 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 12 inbound Pith citation observations for arXiv:2501.03447.

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

pith.paper-citation-record.v1
2501.03447 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:56:46.401847Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:43:22.924738Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T09:16:49.249270Z

Reference resolution

54 of 54 outbound references displayed

verified exact1
verified fuzzy31
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0bd3f8bb-b089-43a6-976b-d0297847eb6f · outbound

This paper cites Deepseek: Advanced ai capabilities,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Deepseek: Advanced ai capabilities,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.304203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ec6c57eb-8b57-4267-a981-27d3a06fa1b6 · outbound

This paper cites Chatgpt: A large language model,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Chatgpt: A large language model,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.287570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fabef575-e4b0-4d3d-bbed-6febe5cf6870 · outbound

This paper cites Claude: An ai assistant,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Claude: An ai assistant,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.270687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd9d8203-e0cc-427e-a8f6-8b40f571a87b · outbound

This paper cites Gemini: A multimodal ai,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Gemini: A multimodal ai,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.253535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 87ab47f1-c4bd-42ce-8f9d-256cdcc8850b · outbound

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

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.145639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a96cb84-d2eb-44b7-b005-9b2917f6bf4c · outbound

This paper cites Cursor: Ai-powered coding assistant,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Cursor: Ai-powered coding assistant,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.235957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e84e2267-6ce0-4279-baa6-6afce48481d0 · outbound

This paper cites Using an llm to help with code understanding,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Using an llm to help with code understanding,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.158028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac4615c-7e12-40c8-8c32-b47f0d76db10 · outbound

This paper cites Qwen Technical Report.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Qwen Technical Report

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.163181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfe3ea63-5db7-4199-83df-40c3fa13aa39 · outbound

This paper cites Repocoder: Repository-level code completion through iterative retrieval and generation,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Repocoder: Repository-level code completion through iterative retrieval and generation,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.168675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6935e91d-dba7-4ac1-85cf-19af2a7e2e9d · outbound

This paper cites Cctest: Testing and repairing code completion systems,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Cctest: Testing and repairing code completion systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.194234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94e1e56a-4010-45c5-af1f-2329afc63b9d · outbound

This paper cites Learning deep semantics for test completion,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Learning deep semantics for test completion,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.179247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d21f7cde-2a0f-43af-9436-b4ad2743dc08 · outbound

This paper cites Few-shot training llms for project-specific code-summarization,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Few-shot training llms for project-specific code-summarization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.165958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee0a635d-5979-445f-9932-4d10a2c4c639 · outbound

This paper cites An analysis of the automatic bug fixing performance of chatgpt,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering An analysis of the automatic bug fixing performance of chatgpt,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.189674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9511a198-49bf-4ff2-b4f5-3c94956cabc3 · outbound

This paper cites Analyzing bug fix for automatic bug cause classification,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Analyzing bug fix for automatic bug cause classification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.137317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 001adb30-dc51-4124-af6d-350b3d1d988b · outbound

This paper cites Generating bug- fixes using pretrained transformers,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Generating bug- fixes using pretrained transformers,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.120583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d0a70004-daae-4155-99a7-fe277c3260a0 · outbound

This paper cites Github copilot,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Github copilot,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.104141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc98d9bb-63d8-42e1-aeb3-ff37dad09750 · outbound

This paper cites Jetbrains: Essential tools for software developers and teams,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Jetbrains: Essential tools for software developers and teams,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.087334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2dc02d0c-3648-4721-8613-be646328c481 · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Codereval: A benchmark of pragmatic code generation with generative pre-trained models,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.216658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed641a00-bd90-47a3-b250-2e9e5f795a33 · outbound

This paper cites CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.223603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a637aee1-e251-489e-ab55-eeb34c17daf0 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Evaluating Large Language Models Trained on Code

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.233365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c31835f5-5f8e-4388-a29a-03310d7cb2e0 · outbound

This paper cites Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Crosscodeeval: A diverse and multilingual benchmark for cross-file code completion,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.059166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4805c0e2-cc3d-4620-a64a-6c808fda9bb6 · outbound

This paper cites Swe-bench: Can language models resolve real-world github issues?.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Swe-bench: Can language models resolve real-world github issues?

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.036390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 39068a1c-7956-49f0-b08d-2dd393a18dda · outbound

This paper cites Codequeries: A dataset of semantic queries over code,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Codequeries: A dataset of semantic queries over code,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.020397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f1e0d4cd-ccd6-4c8c-b5f1-a22485c30096 · outbound

This paper cites Codeqa: A question answering dataset for source code comprehension,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Codeqa: A question answering dataset for source code comprehension,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:47.003545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 351fe219-f88d-4453-8266-343df654e944 · outbound

This paper cites Cs1qa: A dataset for assisting code- based question answering in an introductory programming course,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Cs1qa: A dataset for assisting code- based question answering in an introductory programming course,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.987493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 423a9a12-0a6e-45da-8785-059b749a504d · outbound

This paper cites A neural question answering system for basic questions about subroutines,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering A neural question answering system for basic questions about subroutines,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.970331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 66c9ed85-c296-44b7-9099-b85de11f3bb5 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.951466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fc569ed2-bfe6-4f22-8472-34ebe2e31389 · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.279880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7169fb4-2988-48d1-8c88-1b6b0e72d0cc · outbound

This paper cites Simple bm25 extension to multiple weighted fields,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Simple bm25 extension to multiple weighted fields,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.934498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1898d6db-6139-4ab0-805d-65ab99b7a5db · outbound

This paper cites Neural code comprehen- sion: A learnable representation of code semantics,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Neural code comprehen- sion: A learnable representation of code semantics,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.916210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61bc1ec1-0455-4eed-974e-b077e91ad6ea · outbound

This paper cites Codecompass: an open software comprehension framework for industrial usage,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Codecompass: an open software comprehension framework for industrial usage,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.898350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aeeaae5c-beef-4814-8693-74a02ab6749c · outbound

This paper cites Fold2vec: Towards a statement-based representation of code for code comprehension,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Fold2vec: Towards a statement-based representation of code for code comprehension,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.880697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e9b27f4b-988c-4f24-abc5-ea061a6403fa · outbound

This paper cites RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.302526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ad50e4a-7fec-4de5-8ce3-87da32cdb19f · outbound

This paper cites Intent detection for code-mix utterances in task oriented dialogue systems,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Intent detection for code-mix utterances in task oriented dialogue systems,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.864195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 054e6778-f3e4-4423-8585-43dc373e88cc · outbound

This paper cites Build-a-bot: teaching conversational ai using a transformer-based intent recognition and ques- tion answering architecture,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Build-a-bot: teaching conversational ai using a transformer-based intent recognition and ques- tion answering architecture,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.846245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8e6be2b-c303-40de-8e3d-7e1c5a38396f · outbound

This paper cites A Survey on In-context Learning.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering A Survey on In-context Learning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.316345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d575794d-b986-4d47-8578-0fe4699498d0 · outbound

This paper cites Retrieve-and- sample: Document-level event argument extraction via hybrid retrieval augmentation,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Retrieve-and- sample: Document-level event argument extraction via hybrid retrieval augmentation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.828068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae452af8-c0ae-4611-ab13-1ee5240fe27a · outbound

This paper cites From Matching to Generation: A Survey on Generative Information Retrieval.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering From Matching to Generation: A Survey on Generative Information Retrieval

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.325713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da0618c8-5efc-4f91-b122-7a59d95d56ae · outbound

This paper cites Hyena hierarchy: Towards larger con- volutional language models,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Hyena hierarchy: Towards larger con- volutional language models,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.330606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5ad393f-92a7-4721-bd5a-45cbcf59f909 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.335664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b909cea-cb86-46b9-bb43-e2aeb3430f26 · outbound

This paper cites Long Context Compression with Activation Beacon.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Long Context Compression with Activation Beacon

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.340532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e58dab8d-0123-4044-8716-cefe7a16cfec · outbound

This paper cites The Stack: A Large-scale Context-Aware Code Dataset,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering The Stack: A Large-scale Context-Aware Code Dataset,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.799502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2c715f8-7bfb-4083-948d-d8f8bb86a3de · outbound

This paper cites Openai tokenizer,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Openai tokenizer,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.783325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation abbbdd28-3c5a-4856-8f52-22296776195c · outbound

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

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.354984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1106b6-cc3c-4ce2-be8c-8a529b55236d · outbound

This paper cites Fredriksson, D.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Fredriksson, D

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.767198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa8c6b2d-98eb-478c-a0b6-61b922e23f79 · outbound

This paper cites LangChain,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering LangChain,

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.364506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c88ecfcc-05be-4ae6-bf5f-c02d3c34741b · outbound

This paper cites Rank-BM25: A Collection of BM25 Algorithms in Python,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Rank-BM25: A Collection of BM25 Algorithms in Python,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.740448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a45e7f8b-22ce-4e70-a3c2-7eeca2ea9ac2 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Chain-of-thought prompting elicits reasoning in large language models,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.378480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad2fc768-0a47-4d6d-aa26-968d18277db1 · outbound

This paper cites From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder Pipeline

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.383053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955b6e94-df6d-42e6-95f9-8bc6bf8a2661 · outbound

This paper cites Chatbot arena: An open platform for evaluating llms by human preference,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Chatbot arena: An open platform for evaluating llms by human preference,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.387749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472ec16e-17dd-4fd0-a74d-b7dc85400da2 · outbound

This paper cites RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-10T21:56:46.392216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a6dc130-b243-4e3c-80dc-819e1c31bff8 · outbound

This paper cites Six strategies for getting better results,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Six strategies for getting better results,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.701522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eec9ceb2-8baa-433d-a9f1-dc9a028b201e · outbound

This paper cites The stack dataset,.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering The stack dataset,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:56:46.684508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a51a375c-cd63-497d-a3f1-fe1c6a22800d · outbound

This paper cites Available: https://doi.org/10.5281/zenodo.4520057.

CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering Available: https://doi.org/10.5281/zenodo.4520057

Reference 2020

Resolution: verified exact; doi, observed 2026-08-10T21:56:46.441646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation d23db5e8-9329-425f-bf7e-49a7ba557d02 · inbound

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering cites this paper.

SyncMind: Measuring Agent Out-of-Sync Recovery in Collaborative Software Engineering CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T14:11:57.547376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9796dd86-bbb8-4491-b172-b6b9b4b90102 · inbound

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

SWE-QA: Can Language Models Answer Repository-level Code Questions? CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:37.766598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ea2572e4-d315-4cfd-8fdc-e336b078eb3d · inbound

Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering cites this paper.

Beyond Code Snippets: Benchmarking LLMs on Repository-Level Question Answering CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:28:04.901395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 24379b1f-acd3-4561-8eb8-c23df9da4a76 · inbound

Neurosymbolic Repo-level Code Localization cites this paper.

Neurosymbolic Repo-level Code Localization CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:27:51.730789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aef14939-4cb0-4097-bff4-8bde902a80cf · inbound

AOCI: Symbolic-Semantic Indexing for Practical Repository-Scale Code Understanding with LLMs cites this paper.

AOCI: Symbolic-Semantic Indexing for Practical Repository-Scale Code Understanding with LLMs CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-09T06:50:40.113053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 225ea043-a6d5-42f1-bfb9-5015aa20eba9 · inbound

SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution cites this paper.

SWE Atlas: Benchmarking Coding Agents Beyond Issue Resolution CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:36:57.999383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a787e923-86ae-4dfe-8d3d-7304bdcce03f · 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 CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T09:13:16.605769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f473f11b-5081-4fdf-8df2-c181e8fb6f6e · inbound

DeployBench: Benchmarking LLM Agents for Research Artifact Deployment cites this paper.

DeployBench: Benchmarking LLM Agents for Research Artifact Deployment CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-02T09:16:49.250784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b892b57-d701-481e-8b7a-350bfb8c6f51 · inbound

Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution cites this paper.

Know Before Fix: QA-Driven Repository Knowledge Acquisition for Software Issue Resolution CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 60

Resolution: unresolved; no resolver link, observed 2026-07-14T06:59:44.621968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6593f1f8-c1fb-4ac6-a838-c9d63d486313 · inbound

RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models cites this paper.

RepoReasoner: Evaluating Repository-Level Code Reasoning Ability of Long-Context Language Models CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-01T00:57:33.569185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3bd8155-be4b-4726-8bec-3ed3327fcd71 · inbound

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists cites this paper.

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:17.106912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6171ed39-18a7-4800-82b2-7a86627f7b70 · inbound

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists cites this paper.

RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists CoReQA: Uncovering Potentials of Language Models in Code Repository Question Answering

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T17:43:22.924738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.