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Paper Citation Record · LEDGER

IFEvalCode: Controlled Code Generation

As of 7 August 2026, this Paper Citation Record lists 81 of 81 outbound references and 2 inbound Pith citation observations for arXiv:2507.22462.

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

pith.paper-citation-record.v1
2507.22462 v2

Coverage vector

measured 81 of 81 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:44:34.161071Z

measured 83 of 83 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:16:51.306423Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T18:01:25.418827Z

Reference resolution

81 of 81 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved56
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b1cde7f-1a7b-4bf4-a509-0f2eaca51ef9 · outbound

This paper cites Introducing meta llama 3: The most capable openly available llm to date.

IFEvalCode: Controlled Code Generation Introducing meta llama 3: The most capable openly available llm to date

Reference 1

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:33.898368Z digest=sha256:d4cb270e731971cd4aeccbbbb138c3c048b59aa721636f0ad175e22a8b5390cb

Observation ce5187cf-1362-44df-bf8a-a3d6ac86e8d4 · outbound

This paper cites SantaCoder: don't reach for the stars!.

IFEvalCode: Controlled Code Generation SantaCoder: don't reach for the stars!

Reference 2

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source=pdf_text observed=2026-08-06T11:44:33.902101Z digest=sha256:940eca018692096c545f0fadd80cf216a0bd1a8d8a9f4ec30e407fb6926dadc5

Observation 17e1a036-737f-4f7c-8612-1f3bdd1c9343 · outbound

This paper cites Self-supervised bug de- tection and repair.

IFEvalCode: Controlled Code Generation Self-supervised bug de- tection and repair

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-06T11:44:35.025095Z

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=2026-08-06T11:44:33.905726Z digest=sha256:ddbecb000c57b4bac988cbfafddc7fa28f86c3f4b015ce7f9432fa4d409ef78e

Observation 8d2cc9e9-f698-451d-b8b7-27dce38c1717 · outbound

This paper cites Introducing Claude, 2023.

IFEvalCode: Controlled Code Generation Introducing Claude, 2023

Reference 4

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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=2026-08-06T11:44:33.908937Z digest=sha256:38b22413d0ba5182f6213eb3ca47ea8e32d6779e3aaed218582fd68f77040c55

Observation 98d61c57-fba8-4760-aece-6299b3891d77 · outbound

This paper cites Claude 3.7 sonnet and claude code, 2025.

IFEvalCode: Controlled Code Generation Claude 3.7 sonnet and claude code, 2025

Reference 5

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raw_fallback, observed 2026-08-06T11:44:35.004232Z

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=2026-08-06T11:44:33.911945Z digest=sha256:16923587cb4a0695d7753f60fffac1e8eed0f98bc23c20a5ae6521ede40b3c7e

Observation 6f255543-c92e-477d-9082-dc5a85092b19 · outbound

This paper cites Program Synthesis with Large Language Models.

IFEvalCode: Controlled Code Generation Program Synthesis with Large Language Models

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:33.914955Z digest=sha256:b30be5ce3fc4717dde4b7c1fab143273630e5f58bf6ca937e17a2244bf9cb459

Observation 9b263c73-afd7-4c02-8708-37a5ff5c592e · outbound

This paper cites Qwen Technical Report.

IFEvalCode: Controlled Code Generation Qwen Technical Report

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:33.918703Z digest=sha256:b4d9b256dd0775f54fe21d74cce8d8112cdc290befefdd9334b4792b9867d914

Observation 51e7f8ca-1bbd-4fee-bcaf-24d82fb5da27 · outbound

This paper cites Efficient Training of Language Models to Fill in the Middle.

IFEvalCode: Controlled Code Generation Efficient Training of Language Models to Fill in the Middle

Reference 8

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source=pdf_text observed=2026-08-06T11:44:33.922242Z digest=sha256:1c3193270fc502af9f4f678fe057a5ffeebca2c060c10063a9e68c727efa54d0

Observation d090bae9-b229-45e6-93a8-986e30615d79 · outbound

This paper cites Multipl- e: A scalable and polyglot approach to benchmarking neural code generation.IEEE Transactions on Software Engineering, 2023.

IFEvalCode: Controlled Code Generation Multipl- e: A scalable and polyglot approach to benchmarking neural code generation.IEEE Transactions on Software Engineering, 2023

Reference 9

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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=2026-08-06T11:44:33.926211Z digest=sha256:14674d28d5feacd2397051a86ca7d8e93f9f9e1cc5c2e02d332d0c4abf76b197

Observation a13a7ba1-b2df-4ae4-ba2e-1fe447eda54e · outbound

This paper cites Multipl-e: A scalable and polyglot approach to benchmarking neural code generation.

IFEvalCode: Controlled Code Generation Multipl-e: A scalable and polyglot approach to benchmarking neural code generation

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.984042Z

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=2026-08-06T11:44:33.929264Z digest=sha256:23b334a29dfca3b2bb2f27be1345896b8356b0ef2bb5ca4ce03ad7ac475edeea

Observation 9ee78b49-bb5b-4db8-965f-165df7a3f088 · outbound

This paper cites McEval: Massively Multilingual Code Evaluation.

IFEvalCode: Controlled Code Generation McEval: Massively Multilingual Code Evaluation

Reference 11

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source=pdf_text observed=2026-08-06T11:44:33.932446Z digest=sha256:e9e0997d4b2674a6172eb41d6a8ee9d5cdc707f9680d8b6f2ca367139df10dba

Observation cbf0d535-edf2-4566-83e2-dff1564a2799 · outbound

This paper cites CodeR: Issue Resolving with Multi-Agent and Task Graphs.

IFEvalCode: Controlled Code Generation CodeR: Issue Resolving with Multi-Agent and Task Graphs

Reference 12

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source=pdf_text observed=2026-08-06T11:44:33.935674Z digest=sha256:f3338be6b0765bca83272ced3ef7ac2d91a584f40c027bd2e9d616698226a13b

Observation ffa315e2-5cdd-473a-bb68-ea81626204e8 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

IFEvalCode: Controlled Code Generation Evaluating Large Language Models Trained on Code

Reference 14

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source=pdf_text observed=2026-08-06T11:44:33.942269Z digest=sha256:e12930978e9cd13f6cf8ab59fe3d5f582feb4a67d4ad3eb3c7c62185a04aac7e

Observation 0f7da07a-f020-4aed-9382-c8018de1d572 · outbound

This paper cites Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models.

IFEvalCode: Controlled Code Generation Large language models are zero-shot fuzzers: Fuzzing deep-learning libraries via large language models

Reference 15

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:33.945067Z digest=sha256:c3e754deff712e0a25e83d3c459fc9cfddb683efdeb1067218f2bf7ab1075eeb

Observation 148a721a-d7c8-417f-8f0b-b02daf97b67e · outbound

This paper cites BERT: pre-training of deep bidirectional transformers for language understanding.

IFEvalCode: Controlled Code Generation BERT: pre-training of deep bidirectional transformers for language understanding

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.966709Z

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=2026-08-06T11:44:33.948449Z digest=sha256:682623bbbce6f765103e63011ebfd43cd51960406c2ee3a966eb80aaae5bf449

Observation b20d0f6b-0d68-4750-96c0-db1bc09ec681 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages.

IFEvalCode: Controlled Code Generation Codebert: A pre-trained model for programming and natural languages

Reference 17

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raw_fallback, observed 2026-08-06T11:44:34.955570Z

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=2026-08-06T11:44:33.951178Z digest=sha256:f1b796c330fe4549c67dfe0fb7f6f67847a42fe4a44442e1beb47efcc4b1655d

Observation cdf36e89-8c02-4a28-923f-64d8238ca220 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

IFEvalCode: Controlled Code Generation Gemma: Open Models Based on Gemini Research and Technology

Reference 18

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:33.953910Z digest=sha256:8ac8abfa014d0bccef95d4626048bb24677ba8c9157c55f04019c7e9d288fba3

Observation 778c414e-befc-4378-9c5d-0c3cc238de8c · outbound

This paper cites The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?.

IFEvalCode: Controlled Code Generation The Counterfeit Conundrum: Can Code Language Models Grasp the Nuances of Their Incorrect Generations?

Reference 19

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source=pdf_text observed=2026-08-06T11:44:33.957061Z digest=sha256:a620b49ab0a48244224a7947e532d9069dba0126e213e32da1cabebce0345eed

Observation 5600bca9-d8cf-4c5c-a332-6ddf35b86b85 · outbound

This paper cites Cruxeval: A benchmark for code reasoning, understanding and execution.

IFEvalCode: Controlled Code Generation Cruxeval: A benchmark for code reasoning, understanding and execution

Reference 20

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raw_fallback, observed 2026-08-06T11:44:34.945203Z

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=2026-08-06T11:44:33.959914Z digest=sha256:d929c318976553461d5d7649490c6235c2a65a72b6c56cdc349b8d379cae823a

Observation 0b498e57-2deb-4ca9-b3f6-d5e68945a35d · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

IFEvalCode: Controlled Code Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 21

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:33.962752Z digest=sha256:6c6c39bd4367d3c09c494163cf741b286b1c549ce1afb6cfba53ecbf9f129c9a

Observation a057b0ce-536b-48ec-9221-fdead6e12435 · outbound

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

IFEvalCode: Controlled Code Generation DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 22

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source=pdf_text observed=2026-08-06T11:44:33.965729Z digest=sha256:562372c64bae9dc4fb8de5e36b266985eed2c9bf7eef8d5ec0f20b6f6075610d

Observation 5f913df0-5f5a-4f54-9e18-336c9aecf12b · outbound

This paper cites OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

IFEvalCode: Controlled Code Generation OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models

Reference 23

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source=pdf_text observed=2026-08-06T11:44:33.968595Z digest=sha256:93d3f47f6547851a8d36538a6115afd8f3b63443668b84f2c24a8d778d8198dc

Observation b699703f-49df-44ab-a06f-a4748ac70d0b · outbound

This paper cites Qwen2.5-Coder Technical Report.

IFEvalCode: Controlled Code Generation Qwen2.5-Coder Technical Report

Reference 26

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source=pdf_text observed=2026-08-06T11:44:33.977919Z digest=sha256:c94b4ba81ae5b8e9d0c5e52cdd6204ae5eae9770bdfe888fff7b3493bd890f5a

Observation deb1175b-56d1-4853-9012-5bdf2720c268 · outbound

This paper cites OpenAI o1 System Card.

IFEvalCode: Controlled Code Generation OpenAI o1 System Card

Reference 27

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source=pdf_text observed=2026-08-06T11:44:33.980473Z digest=sha256:bd00e40329de0b9e35fde1537b39d810c23208e34bc27b447a594bb6527ad69c

Observation ff729ac6-a93f-4df9-9d11-a1a72213a093 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

IFEvalCode: Controlled Code Generation LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 28

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source=pdf_text observed=2026-08-06T11:44:33.983541Z digest=sha256:a13c6e788f78a68c97087d655629b179b22b08b91a900db16e1de09c95325e40

Observation 3a93902b-3557-45ed-b715-cce83aeb19a3 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

IFEvalCode: Controlled Code Generation SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 29

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source=pdf_text observed=2026-08-06T11:44:33.986613Z digest=sha256:26cadf0f6bf23d844eb205fd365500bf8b3d3f614872b5b3d0789f470d67e3f2

Observation 3767eb63-a810-494b-ab5f-cf4329209d74 · outbound

This paper cites xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval.

IFEvalCode: Controlled Code Generation xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and Retrieval

Reference 30

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source=pdf_text observed=2026-08-06T11:44:33.989642Z digest=sha256:4d36f0f41e4d820f8936ba7e1d57655a9de49a00cc24cfdc545d088c7ef97ac8

Observation 6306c10a-684f-4788-a908-f8a398318d00 · outbound

This paper cites Wang, and Tao Yu.

IFEvalCode: Controlled Code Generation Wang, and Tao Yu

Reference 31

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raw_fallback, observed 2026-08-06T11:44:34.934720Z

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=2026-08-06T11:44:33.993232Z digest=sha256:d076d6d84d7e67cbad0e1c70ec9a34696550dc99bf0d0d45b774fea42d4e3673

Observation 6484caf8-ed1d-4fec-b317-d68421e08f8b · outbound

This paper cites StarCoder: may the source be with you!.

IFEvalCode: Controlled Code Generation StarCoder: may the source be with you!

Reference 32

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source=pdf_text observed=2026-08-06T11:44:33.996518Z digest=sha256:dfd3e60c42d8ca0db5db404b5a3743687480d963b32da144eb5f85a3fdc48b36

Observation a73de673-870e-4c52-b245-396a9c0d9ea2 · outbound

This paper cites Competition-Level Code Generation with AlphaCode.

IFEvalCode: Controlled Code Generation Competition-Level Code Generation with AlphaCode

Reference 33

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source=pdf_text observed=2026-08-06T11:44:33.999631Z digest=sha256:841c6efcf62b4ad3f954a4eddeb46fbf72121fd803232161b9d46881fec1234c

Observation e4ec9551-eb9f-42f8-8a87-a18bd4ec5166 · outbound

This paper cites AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions.

IFEvalCode: Controlled Code Generation AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Reference 34

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source=pdf_text observed=2026-08-06T11:44:34.002594Z digest=sha256:d55779bfbcfef4a9b3140847de0fe7ee31ce10799d8e390adea2c297ccc20ea3

Observation d01cea9e-00d7-4d9f-bab5-0f83c09e68fd · outbound

This paper cites Quixbugs: a multi- lingual program repair benchmark set based on the quixey challenge.

IFEvalCode: Controlled Code Generation Quixbugs: a multi- lingual program repair benchmark set based on the quixey challenge

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.923989Z

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=2026-08-06T11:44:34.005809Z digest=sha256:52698ecc95ab7593cbd0e1b5b7d6ec4dc629fea798ddd808c630640f01c8bdf0

Observation e9650e24-cbf3-405d-952b-7877e14a26b4 · outbound

This paper cites DeepSeek-V3 Technical Report.

IFEvalCode: Controlled Code Generation DeepSeek-V3 Technical Report

Reference 36

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source=pdf_text observed=2026-08-06T11:44:34.008468Z digest=sha256:57b20fe753d19e248d35bfa94af3d5795d1946c3b915c21046dfa9ba342cc582

Observation e4d4cff7-bc60-480a-b542-f557db50255e · outbound

This paper cites Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation.

IFEvalCode: Controlled Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

Reference 37

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source=pdf_text observed=2026-08-06T11:44:34.011164Z digest=sha256:2e15326021abca5b2663b0db5e52c80c6d2fc3c8b7a85bd1c79db05b0a665185

Observation c8b9f4fd-2e53-4df6-b04d-0659926fbb87 · outbound

This paper cites MdEval: Massively Multilingual Code Debugging.

IFEvalCode: Controlled Code Generation MdEval: Massively Multilingual Code Debugging

Reference 39

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source=pdf_text observed=2026-08-06T11:44:34.018182Z digest=sha256:3519a3de6bc6ae50244c72080c7d9845cda62dea59776364080f5ec38f09dc77

Observation cc06240c-ddf5-42b5-bc80-efc8a971c01d · outbound

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

IFEvalCode: Controlled Code Generation FullStack Bench: Evaluating LLMs as Full Stack Coders

Reference 40

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source=pdf_text observed=2026-08-06T11:44:34.021098Z digest=sha256:de21a8f416a87f9d93779efb8ab9b4f2e2ed04196b0d80fbaac8cd6a3610fcb0

Observation 693eb746-7bc5-4985-b17d-d386f377d4aa · outbound

This paper cites Decoupled Weight Decay Regularization.

IFEvalCode: Controlled Code Generation Decoupled Weight Decay Regularization

Reference 41

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source=pdf_text observed=2026-08-06T11:44:34.024212Z digest=sha256:6c787fe4316ea0f1c50accbde9ab290c0efc456985cc22398cbb7b6bbe81eef4

Observation 80588d29-a675-4413-813a-dae8a1df0663 · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

IFEvalCode: Controlled Code Generation StarCoder 2 and The Stack v2: The Next Generation

Reference 42

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source=pdf_text observed=2026-08-06T11:44:34.027525Z digest=sha256:afe7909b0ca238a95555a8234f1d57d8df1976c36819ee315a2fa0ced6d0baf6

Observation 38c74e37-176f-4773-b5db-28f79a0ebfde · outbound

This paper cites GPT-4 Technical Report.

IFEvalCode: Controlled Code Generation GPT-4 Technical Report

Reference 43

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source=pdf_text observed=2026-08-06T11:44:34.030436Z digest=sha256:d74e9e9c0d5a04a12461672134dfccba0d8273c854073d449c1d2300c26dcaf5

Observation 4bfff7d9-29d6-462c-ba0c-1005aa520f37 · outbound

This paper cites Introducing gpt-4.5, 2025.

IFEvalCode: Controlled Code Generation Introducing gpt-4.5, 2025

Reference 44

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raw_fallback, observed 2026-08-06T11:44:34.914359Z

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=2026-08-06T11:44:34.033434Z digest=sha256:1a3f863b2ed723029a6ac19f05c430b8106fadda31a62a559376b85659e74286

Observation 876b9b81-71c4-448f-8eac-77ea6c081128 · outbound

This paper cites Measuring the impact of programming language distribution.

IFEvalCode: Controlled Code Generation Measuring the impact of programming language distribution

Reference 45

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raw_fallback, observed 2026-08-06T11:44:34.904759Z

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=2026-08-06T11:44:34.036701Z digest=sha256:31217a9a5fbdf9945e88f66ce97e603863921c60313f1fdad23cb57753ae4558

Observation 24a17240-c4ed-4d38-ba41-796d63c0ff58 · outbound

This paper cites HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization.

IFEvalCode: Controlled Code Generation HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization

Reference 46

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source=pdf_text observed=2026-08-06T11:44:34.039524Z digest=sha256:f2ef1fb12f48c14aa8de7b0d1404e8292b278e3e7bb476c2f4d33a46a470e05a

Observation 251d32d9-d7f6-464f-98f6-a6760529860f · outbound

This paper cites Deepbugs: A learning approach to name-based bug detection.

IFEvalCode: Controlled Code Generation Deepbugs: A learning approach to name-based bug detection

Reference 47

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raw_fallback, observed 2026-08-06T11:44:34.894214Z

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=2026-08-06T11:44:34.042559Z digest=sha256:5f2af51683b8344d18d208dc22f790c18215c6d831c6a6ce873e618c565abe9d

Observation 168577c1-3494-40ef-9252-b04c4d93f294 · outbound

This paper cites Can openai’s codex fix bugs? an evaluation on quixbugs.

IFEvalCode: Controlled Code Generation Can openai’s codex fix bugs? an evaluation on quixbugs

Reference 48

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verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.883656Z

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=2026-08-06T11:44:34.045483Z digest=sha256:6ee4726504d0d57a6e66cba2162be0dba44cde29e7c5db828db5dc706652ad09

Observation 7d4685ae-a6ba-4211-88fa-5b2236f47e3b · outbound

This paper cites RunBugRun -- An Executable Dataset for Automated Program Repair.

IFEvalCode: Controlled Code Generation RunBugRun -- An Executable Dataset for Automated Program Repair

Reference 49

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.048317Z digest=sha256:5ba8fece86b898148a898b56d602d9bf83ab573ae523e9699d38593c5f219df4

Observation 1e07aeb6-7577-4eec-a152-401656ddacac · outbound

This paper cites CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings.

IFEvalCode: Controlled Code Generation CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Reference 50

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.051268Z digest=sha256:97d0f71a24b38b1c31b0a760632398cc9d7cc15106a1f899b7c2acb5411cfc3a

Observation d51c59f4-9e7d-40b3-9e2c-d8d97992a772 · outbound

This paper cites Improving language understanding by generative pre-training.

IFEvalCode: Controlled Code Generation Improving language understanding by generative pre-training

Reference 51

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.054170Z digest=sha256:7aefcc5d431a2351712d158be3b3990cb2b63527a6ea6fcab32c265275d91953

Observation 9d659666-6f7a-4427-a0bb-3795ca2f202a · outbound

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

IFEvalCode: Controlled Code Generation Code Llama: Open Foundation Models for Code

Reference 52

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.056924Z digest=sha256:88166e5c5874fa8dfb3ef6636736fe6a5e0f6580effb0665e1c78f4f48faf590

Observation c0ee4cdf-d920-4019-8e31-68a27e62ecfe · outbound

This paper cites Code llama: Open foundation models for code.

IFEvalCode: Controlled Code Generation Code llama: Open foundation models for code

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.866897Z

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=2026-08-06T11:44:34.059906Z digest=sha256:4e8f6171559dde4fcad02d261aae0578b6f046e83f3228de0fbb16d8d0e76ade

Observation 479820ba-01ca-44dd-a7ac-9a04766bf366 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

IFEvalCode: Controlled Code Generation BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 54

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.062586Z digest=sha256:133ca6a4d4a0d6ab32dd74c2cddb071a5c4a65808f8b56c01cc264a7f2e17c26

Observation f7e94bf1-a015-426f-b753-58859c757742 · outbound

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

IFEvalCode: Controlled Code Generation An analysis of the automatic bug fixing performance of chatgpt

Reference 55

Resolution
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raw_fallback, observed 2026-08-06T11:44:34.856378Z

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=2026-08-06T11:44:34.066089Z digest=sha256:907c5bdad2ab273de80040796f144d9b0110b2e7e3adbd968b60190c7047a248

Observation 9a6340c3-009c-4a74-a149-3e50282c6250 · outbound

This paper cites TableGPT2: A Large Multimodal Model with Tabular Data Integration.

IFEvalCode: Controlled Code Generation TableGPT2: A Large Multimodal Model with Tabular Data Integration

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.069005Z digest=sha256:d75a38bb56be78c8163c029be1eb6c2c576d0230a3e082b14c4550888a4aa596

Observation b7016602-e6fe-4c45-b3b5-3fd720fca8bf · outbound

This paper cites UniCoder: Scaling code large language model via universal code.

IFEvalCode: Controlled Code Generation UniCoder: Scaling code large language model via universal code

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.846151Z

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=2026-08-06T11:44:34.071805Z digest=sha256:24a751ec7f3cb108a341c16fb0d967fb3fd803636b1332a53626bffde027f33f

Observation 4149321e-2e6f-441c-891d-ccfc7248a5cc · outbound

This paper cites Bugs in large language models generated code: An empirical study.

IFEvalCode: Controlled Code Generation Bugs in large language models generated code: An empirical study

Reference 58

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raw_fallback, observed 2026-08-06T11:44:34.836045Z

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=2026-08-06T11:44:34.074394Z digest=sha256:cd6367ded781754613a103896c369b2480dbaa0182068a72c87cd1cd7ceea8e1

Observation f962a576-452d-4071-804d-1b6bbbdc35f7 · outbound

This paper cites MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution.

IFEvalCode: Controlled Code Generation MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution

Reference 59

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.077446Z digest=sha256:bd73aa487b0a843a212230760961ae21bc47de22e75f18a2d32290cde3d79fe2

Observation 503f05db-9fab-434d-8262-f0ac38f4ae8e · outbound

This paper cites DebugBench: Evaluating Debugging Capability of Large Language Models.

IFEvalCode: Controlled Code Generation DebugBench: Evaluating Debugging Capability of Large Language Models

Reference 60

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.080293Z digest=sha256:f090fb8edee957388fdb5b44bdb2f57422231bbef9e1a9d04ef5c31be3685ca1

Observation b78dfbb9-f9db-4148-9578-843008eeb680 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

IFEvalCode: Controlled Code Generation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 61

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no resolver link, observed 2026-08-06T11:44:34.083297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.083297Z digest=sha256:9ea4f6af31f03c8806b1eebf948c7cfe9b194be9d862919c0948755fd5f16478

Observation 2d9d2f5f-48de-4e6e-8ddf-559f726cea5a · outbound

This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.

IFEvalCode: Controlled Code Generation CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Reference 62

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source=pdf_text observed=2026-08-06T11:44:34.086522Z digest=sha256:92679f6a3d3e4059ee83fb7e54e8dcad79401653debeba1c4a51077b8e9ed5fe

Observation af89213e-c3c5-4ced-9cf6-1b78822ece50 · outbound

This paper cites Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models.

IFEvalCode: Controlled Code Generation Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models

Reference 63

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.089621Z digest=sha256:2a10f7e81ead09fcf2252b9b54230e29710eded5e7f80b4230066fe02f083df3

Observation ab989e33-9bb8-4e70-8eda-ee8788613bda · outbound

This paper cites Fixing Function-Level Code Generation Errors for Foundation Large Language Models.

IFEvalCode: Controlled Code Generation Fixing Function-Level Code Generation Errors for Foundation Large Language Models

Reference 64

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no resolver link, observed 2026-08-06T11:44:34.093023Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.093023Z digest=sha256:e712ed57b74eef1a4f1a17500acf56c3ab23654373d648e9fb015b73a418fe0f

Observation 28813f0b-f4ec-48ff-b742-b83bb72bde2c · outbound

This paper cites TableBench: A Comprehensive and Complex Benchmark for Table Question Answering.

IFEvalCode: Controlled Code Generation TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Reference 65

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.096049Z digest=sha256:eecaab949e7f955844a1ab124489d0f83365cd8767ff2008fc5a70d4945c9610

Observation f21a47c3-c5a2-4814-a984-2caef03010ca · outbound

This paper cites Fuzz4all: Universal fuzzing with large language models.

IFEvalCode: Controlled Code Generation Fuzz4all: Universal fuzzing with large language models

Reference 66

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raw_fallback, observed 2026-08-06T11:44:34.826174Z

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=2026-08-06T11:44:34.099015Z digest=sha256:01bd678d16cf2245d5edf44e5f6ab588f43182c4b3f0c489938241b03d4ba85b

Observation 34ebc2de-27e2-4f9b-8c36-4884c5a170f9 · outbound

This paper cites Conversational Automated Program Repair.

IFEvalCode: Controlled Code Generation Conversational Automated Program Repair

Reference 67

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.101527Z digest=sha256:190e2c62000b5aa1e49b139a5768b6862c82df37ccda5f1f440af24960112a97

Observation e72084b2-dd24-4550-9c64-bec2c7bafd28 · outbound

This paper cites CodeTransOcean: A comprehensive multilingual benchmark for code translation.

IFEvalCode: Controlled Code Generation CodeTransOcean: A comprehensive multilingual benchmark for code translation

Reference 68

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raw_fallback, observed 2026-08-06T11:44:34.815921Z

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=2026-08-06T11:44:34.104752Z digest=sha256:56a1bff83299d3bdb4a63dd5ef28482cc318ddc66f9c3695ba7b86265e717a25

Observation 204c6c90-24da-40c6-ac65-6bd1a87dc8bf · outbound

This paper cites Evaluating and Aligning CodeLLMs on Human Preference.

IFEvalCode: Controlled Code Generation Evaluating and Aligning CodeLLMs on Human Preference

Reference 69

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.107700Z digest=sha256:ee7859314eaa65695e710defbae3f95cca2cf3bc4d0cddad1c1018561a89725b

Observation aa17bbc9-7d08-4266-ae45-1a641dd568aa · outbound

This paper cites FuzzCoder: Byte-level Fuzzing Test via Large Language Model.

IFEvalCode: Controlled Code Generation FuzzCoder: Byte-level Fuzzing Test via Large Language Model

Reference 70

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.110841Z digest=sha256:553fc11b6013dcff8ee3d59da56bee5a75f4c035ae7649f00cf94662603dc232

Observation fdc1b170-28b8-486d-abf5-3c18a6694d8e · outbound

This paper cites COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis.

IFEvalCode: Controlled Code Generation COAST: Enhancing the Code Debugging Ability of LLMs through Communicative Agent Based Data Synthesis

Reference 71

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.114160Z digest=sha256:e6d03aace6ac0bf14dde5dc7fc8a95a7e8515153b8c5718ee3f93238c278a09c

Observation 80db9502-0f9a-4f60-8e07-90fc173b4009 · outbound

This paper cites Natural language to code generation in interactive data science notebooks.

IFEvalCode: Controlled Code Generation Natural language to code generation in interactive data science notebooks

Reference 72

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verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.806079Z

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=2026-08-06T11:44:34.117617Z digest=sha256:7da5e2828642a96aa136abfea309ad87f1bc9b69d119befbd5fe37c521b474e7

Observation 17cf36fb-dcff-4c15-a521-0592126c7729 · outbound

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

IFEvalCode: Controlled Code Generation Codereval: A benchmark of pragmatic code generation with generative pre-trained models

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.795466Z

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=2026-08-06T11:44:34.120385Z digest=sha256:38bcc203ba107ad5455c76564cb175f86652b7a66b649353f6ed822558efc7bc

Observation 206e38da-14f4-4e7e-9702-a5b07d5bf678 · outbound

This paper cites Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation.

IFEvalCode: Controlled Code Generation Evaluating Instruction-Tuned Large Language Models on Code Comprehension and Generation

Reference 74

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no resolver link, observed 2026-08-06T11:44:34.123108Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.123108Z digest=sha256:d6ab3f1bfd916fba364d4cd209901a212b474721ed810f084fd646db858bff62

Observation 33721b64-c380-41c5-a00a-e4e9b6b54103 · outbound

This paper cites MAmmoTH2: Scaling Instructions from the Web.

IFEvalCode: Controlled Code Generation MAmmoTH2: Scaling Instructions from the Web

Reference 75

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no resolver link, observed 2026-08-06T11:44:34.126248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.126248Z digest=sha256:65df792675637b6b9be6481e2e4a423a5028d49a3e26098e9c0a09f03efabba0

Observation 5fcfa97e-8831-4857-aefd-b09a7e658211 · outbound

This paper cites Prompt-enhanced software vulnerability detection using chatgpt.

IFEvalCode: Controlled Code Generation Prompt-enhanced software vulnerability detection using chatgpt

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:44:34.785555Z

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=2026-08-06T11:44:34.129352Z digest=sha256:6ae2ea35248864d3b4044ed95f96127812e49a38f3770e8495ec5865a9e1144e

Observation 7a2ee541-305b-43b5-91e4-ac7a8fcda50c · outbound

This paper cites RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation.

IFEvalCode: Controlled Code Generation RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

Reference 77

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no resolver link, observed 2026-08-06T11:44:34.132984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.132984Z digest=sha256:3876641d095891154d6162ab26b1985e060cedc23359ef7ed8672355247abed0

Observation 0e2c3d9a-3222-43e7-b1ea-822612aa3606 · outbound

This paper cites A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair.

IFEvalCode: Controlled Code Generation A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair

Reference 78

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no resolver link, observed 2026-08-06T11:44:34.136098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.136098Z digest=sha256:f58d770719df96f417888b4b51f92beef3d9874daeb4def45b3fe0a5fe3be304

Observation 852763eb-388f-4f56-a45b-c50e763b21d6 · outbound

This paper cites NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts.

IFEvalCode: Controlled Code Generation NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts

Reference 79

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T11:44:34.139423Z digest=sha256:41845567a59372abe4f4651889f2b1e2c13bf39407172be3710fa4645ebf15cf

Observation b9ad5ffd-16ca-4124-b89b-c3c53f724865 · outbound

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

IFEvalCode: Controlled Code Generation Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 80

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no resolver link, observed 2026-08-06T11:44:34.142536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.142536Z digest=sha256:39a5c9f8d714c8ea856fe9e0d884eada81e63f21aa14261d2d47110d2a4f692d

Observation 509c10e8-28c6-4bcf-8dbc-b00e2bb83aec · outbound

This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.

IFEvalCode: Controlled Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:34.148774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.148774Z digest=sha256:8df8b630ed38c5f2234e03b23799fd9834ad01c15c42dab9142508a8dfaf9918

Observation 4ebef622-4814-4549-af3d-e66d9a735f52 · outbound

This paper cites Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation.

IFEvalCode: Controlled Code Generation Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation

Reference 83

Resolution
verified exact
local_arxiv, observed 2026-08-06T11:44:34.293599Z

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=2026-08-06T11:44:34.151738Z digest=sha256:5977800cfd1ea39a08396871e1707ee7cca23f986f636d5a7642e00af48f09c8

Observation 44b0c14f-de6e-4c33-9496-151764e9cf70 · outbound

This paper cites Advancing bug detection in fastjson2 with large language models driven unit test generation.

IFEvalCode: Controlled Code Generation Advancing bug detection in fastjson2 with large language models driven unit test generation

Reference 84

Resolution
verified exact
raw_fallback, observed 2026-08-06T11:44:34.277834Z

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=2026-08-06T11:44:34.155183Z digest=sha256:b2bda04641435ed71903d7fa000600d2eb29fe47b69f6f47e2eaa921872c06f2

Observation 9f100bc8-ef8d-492e-8428-cf0450c25456 · outbound

This paper cites Instruction-Following Evaluation for Large Language Models.

IFEvalCode: Controlled Code Generation Instruction-Following Evaluation for Large Language Models

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:34.158059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.158059Z digest=sha256:df3b1f92362cd0bb7679767c18fb635fd5ff8d73dc4b687e82fa5f5536dcec76

Observation a00e778a-58a7-4bda-b05a-7dba11cab770 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions.

IFEvalCode: Controlled Code Generation BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-06T11:44:34.161071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:34.161071Z digest=sha256:5dd300ac95af07a74ce2ea49e210c2486c1d0afc167234455b404c63d1fa2fc8

Pith citing papers

Observation 4758e4af-8282-45aa-9616-4a8647fcf296 · inbound

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions? cites this paper.

Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions? IFEvalCode: Controlled Code Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-05T10:16:51.306423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:16:51.306423Z digest=sha256:6994f0d2b701745d8242bf7ef68878582b37fb5a8d57f92216d895bd57badb68

Observation ebbc2e6e-0aba-496e-b0b6-aaf38c03ca96 · inbound

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution cites this paper.

Steerable Instruction Following Coding Data Synthesis with Actor-Parametric Schema Co-Evolution IFEvalCode: Controlled Code Generation

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-15T18:01:25.421896Z

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=2026-05-15T18:00:39.404711Z digest=sha256:c27ed7cd161ae83664f67fcdcdc4ad99523f9142f7a9585aa5cbaaec0aac2b3b