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Paper Citation Record · LEDGER

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

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 inbound Pith citation observations for arXiv:2303.17568.

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

pith.paper-citation-record.v1
2303.17568 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:38:27.082228Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

49
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f93e0f14-89a0-488a-8a34-eedab97a0b98 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 94

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metadata mismatch
arxiv_id, observed 2026-05-10T22:46:39.775840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T22:46:39.268353Z digest=sha256:e2fbe35023579a7edbbb87295907add95e324a43cb972a9ed73a6e20318ba11b

Observation d065e01f-19e0-4044-a0f1-5b1be68a83b1 · inbound

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

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 76

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verified exact
arxiv_id, observed 2026-05-14T02:04:18.031433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-14T02:04:17.888553Z digest=sha256:3925e1d91876ea52636640fb4d4e0e9785416e3399c547876a6373032af03831

Observation 04507529-70ca-4c4e-a0c4-85a9db43ce7e · inbound

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

StarCoder: may the source be with you! CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 117

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metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.007048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:9e1a829e324a854c7c63c119713b7e7e4db4f56b7354951caf27f227de5b64a2

Observation b7dae65b-d8e4-4575-9b24-3a8b85f8e533 · inbound

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

StarCoder: may the source be with you! CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 125

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metadata mismatch
arxiv_id, observed 2026-05-10T23:33:00.695905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T23:32:59.517389Z digest=sha256:4c76997f6eaaca8f57fb65e06fe17f9440d0a803462c390eaa89d72711778ff1

Observation 615dda3d-5b72-47ec-a7b5-da367c2a3282 · inbound

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation cites this paper.

AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 43

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metadata mismatch
arxiv_id, observed 2026-05-15T03:58:46.067468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T03:58:45.824197Z digest=sha256:e75006b397f239fb82353d205bd8a28537eb3e94be01aa56a746edfd03c7c8dd

Observation f78f4180-8c86-4dfb-8204-a3ef2c0453f2 · inbound

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology cites this paper.

CodePori: Large-Scale System for Autonomous Software Development Using Multi-Agent Technology CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 24

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verified exact
arxiv_id, observed 2026-05-24T03:58:51.203859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T03:58:32.556725Z digest=sha256:f98327fb40208fca38aa683f412e6b3f2c6b6f82a27c2b730c8b30a96fb3b51d

Observation 73d93d06-a648-47b3-8478-e5e2a518181f · inbound

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

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T17:34:43.075136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T17:34:42.565806Z digest=sha256:054b53d608611aa884edaccfdc8129d0ce37b5acbcf7657960ed695d9165edd9

Observation b3384844-8f67-486d-ad56-efb27ab5d3d7 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 205

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T11:44:38.372449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:b19e5bcd7994f303463ae799e9a1b4666488c0a6b702352689bf64a7e3097698

Observation 9feac7ef-e7c7-442f-a1fc-9120e5447d21 · inbound

Does Prompt Formatting Have Any Impact on LLM Performance? cites this paper.

Does Prompt Formatting Have Any Impact on LLM Performance? CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 34

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unresolved
no resolver link, observed 2026-08-12T19:38:27.082228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:38:27.082228Z digest=sha256:b9b782a9e82d135b582606a75beb40217479cf4ad7903fa27a74e7b9f5c33331

Observation 0c3f486c-e727-45bc-bfe8-9042131eba0c · inbound

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks cites this paper.

A Preliminary Study of Multilingual Code Language Models for Code Generation Task Using Translated Benchmarks CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 11

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unresolved
no resolver link, observed 2026-08-12T14:18:33.080993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:18:33.080993Z digest=sha256:5fa61e8a17b5cb3afe7cf5b5624cabd7deae2706d574f56c08d7b24752643622

Observation bd0abebd-5eed-463a-ac0b-158055f1c777 · inbound

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

FullStack Bench: Evaluating LLMs as Full Stack Coders CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 76

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unresolved
no resolver link, observed 2026-08-12T05:20:05.495686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:20:05.495686Z digest=sha256:4146baef73b84712bca73b0db06b414e4abd5c5154e3a1d17d002c0dc05ec67f

Observation 5c36900a-5727-4e5f-b213-81ae0a213f92 · inbound

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? cites this paper.

Specification-Driven Code Translation Powered by Large Language Models: How Far Are We? CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-23T07:35:28.773804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T07:35:19.736921Z digest=sha256:018fd2dec60a859a46cc58b9febdde262a8a153203d32f870bbad285f55aaa0f

Observation fecf9716-e597-48e8-a690-d7ced17f3647 · inbound

Evaluating and Aligning CodeLLMs on Human Preference cites this paper.

Evaluating and Aligning CodeLLMs on Human Preference CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 50

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unresolved
no resolver link, observed 2026-08-11T20:53:15.359399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:53:15.359399Z digest=sha256:d4eb8317698fec826da27d7815f99f6eb5013f45a30f0e18ceab34ed473af157

Observation 5be62b24-9ef7-4c10-99be-6e063c2e2a15 · inbound

MAGE: A Multi-Agent Engine for Automated RTL Code Generation cites this paper.

MAGE: A Multi-Agent Engine for Automated RTL Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 27

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unresolved
no resolver link, observed 2026-08-11T18:27:06.520797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:27:06.520797Z digest=sha256:9dcde662abcaf2084807ab850eef81ec20586a8ccde26a3651867627988aa790

Observation 55c6a3d4-6595-4532-8393-9f27b8bdf71b · inbound

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar cites this paper.

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T18:16:26.790934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:16:26.790934Z digest=sha256:4dca1099a1846cf7b5a66dac53df4c55186d7dc1ebcd36e14f2f950b6454d39e

Observation 66f6abbb-d834-4c8a-9637-79d0e91a358f · inbound

ExecRepoBench: Multi-level Executable Code Completion Evaluation cites this paper.

ExecRepoBench: Multi-level Executable Code Completion Evaluation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 55

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unresolved
no resolver link, observed 2026-08-11T14:27:05.717548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:27:05.717548Z digest=sha256:add4f034f09f80986795da42128719e23a48c6acf3cbd34c1e4dd0b0678ada6f

Observation c09743a5-4240-4ed9-8ac7-132fc7c8fc41 · inbound

Generating Move Smart Contracts based on Concepts cites this paper.

Generating Move Smart Contracts based on Concepts CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-11T14:03:55.241135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:03:55.241135Z digest=sha256:50b2fe70a62d3d04d14a86cbd9f49a6af4e009c6a20f6b9d32b5c253f962c9cc

Observation 45042faf-61c5-4957-9f8e-b227ddfb057e · inbound

GenX: Mastering Code and Test Generation with Execution Feedback cites this paper.

GenX: Mastering Code and Test Generation with Execution Feedback CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 15

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unresolved
no resolver link, observed 2026-08-11T13:09:26.866918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:09:26.866918Z digest=sha256:c6ad5cdfff34de9af066cc1dc776c68fe71ea67f12611ee72b59415949d1a657

Observation 3044dc93-ad54-46d0-a910-2df71408c75d · inbound

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark cites this paper.

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 50

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unresolved
no resolver link, observed 2026-08-11T11:36:56.422014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:36:56.422014Z digest=sha256:ba1284dddc77297eb25dc041fc4588d3022a7e81d3b1d356b19ff4bf65150f92

Observation 8b9028f7-5c88-48b1-a217-a4a013c6b595 · inbound

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models cites this paper.

WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T05:32:16.708177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:32:16.708177Z digest=sha256:502b5c92cba380de8fe45da892f39b8bae60abdcd11a0864150f5c1c934f9ad1

Observation c8abdda8-005d-44d1-a10c-884343b3e9e5 · inbound

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation cites this paper.

HumanEval Pro and MBPP Pro: Evaluating Large Language Models on Self-invoking Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T23:21:37.845013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:21:37.845013Z digest=sha256:ac4f8442dbceec84dbc34562f605df626f94797ddbaecf58decf51b18c44440e

Observation 5f670e11-e99c-4e82-a107-a74b1c15f6c2 · inbound

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation cites this paper.

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 31

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unresolved
no resolver link, observed 2026-08-10T20:40:03.817318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:03.817318Z digest=sha256:cf419ae86bf0b94fe32c256953eb2c7b698414c05d367169d06fb59cdf50f4e8

Observation 7b7b3568-ad27-43d9-b720-e679efb4736f · inbound

Parameter-Efficient Fine-Tuning for Foundation Models cites this paper.

Parameter-Efficient Fine-Tuning for Foundation Models CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 18

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unresolved
no resolver link, observed 2026-08-10T15:38:02.897573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:38:02.897573Z digest=sha256:30cf5836fd9735175c9509f8b899294fcf2de8a09a90f66da6fbab9e73c84a07

Observation 160ac0dd-6c18-454d-9c0a-019919b5f55f · inbound

Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation cites this paper.

Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 23

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unresolved
no resolver link, observed 2026-08-10T16:19:51.025642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T16:19:51.025642Z digest=sha256:47e7defcf74ed7aee7ddd427c723f3bae969893065357001f93caa76356357a9

Observation 4e66e345-a351-4244-8588-af7abb3a6c7e · inbound

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models cites this paper.

DOCS: Quantifying Weight Similarity for Deeper Insights into Large Language Models CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 28

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unresolved
no resolver link, observed 2026-08-10T11:47:24.918198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T11:47:24.918198Z digest=sha256:ed0ff0cb500880a98d2887fbe4a782d84608956f55e146539eff0a8930dbc302

Observation 5213d168-bbe7-448a-b0dc-7e2d3012a5f3 · inbound

Large Language Models for Code Generation: The Practitioners Perspective cites this paper.

Large Language Models for Code Generation: The Practitioners Perspective CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 46

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unresolved
no resolver link, observed 2026-08-10T05:17:24.420590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:17:24.420590Z digest=sha256:3b10acb7f38f98b5d39228579125975cbd7287db8a717f94685233c7711ae3e0

Observation f3495dad-e55f-4a5a-b92e-80427ca3dbff · inbound

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet cites this paper.

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 18

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unresolved
no resolver link, observed 2026-08-09T21:27:43.019170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T21:27:43.019170Z digest=sha256:6c8d1e27fa902f0bbc9e05e1d8d6b6c3f40b4ce233ba9b359956d5d5227b2918

Observation 38625d8a-dcc7-4d2c-859c-263623ed0152 · inbound

COFFE: A Code Efficiency Benchmark for Code Generation cites this paper.

COFFE: A Code Efficiency Benchmark for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 101

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unresolved
no resolver link, observed 2026-08-09T11:01:28.155586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:01:28.155586Z digest=sha256:b6d4f4374eb19a00b3161a09d486795123c78d765dec1f5111a380c392c4e89e

Observation fe73dc69-b27d-457e-81bf-cf12991d8a48 · inbound

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories cites this paper.

CSR-Bench: Benchmarking LLM Agents in Deployment of Computer Science Research Repositories CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 54

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unresolved
no resolver link, observed 2026-08-08T16:46:04.068653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:46:04.068653Z digest=sha256:c3098c50eef7df6e76cbcff0be334dcbb90bc5d51b81f1d1f39b8148611def08

Observation 08341d7e-91df-4077-ad4b-c9c497713f2b · inbound

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks cites this paper.

LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 104

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no resolver link, observed 2026-08-08T16:26:32.521100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:26:32.521100Z digest=sha256:538ec26dd6ebde60bf536ee90cf2a9a2bf7bfa5992529345ec977e05a7c529fa

Observation de4166ed-0beb-4156-9ba5-c139bf7ebaa0 · inbound

Multi-Agent Collaboration for Multilingual Code Instruction Tuning cites this paper.

Multi-Agent Collaboration for Multilingual Code Instruction Tuning CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 35

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unresolved
no resolver link, observed 2026-08-08T12:37:25.829003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T12:37:25.829003Z digest=sha256:8220c5ada1efdf48f675d900dc6888043a4ed665eb9d67ab59d0734cbbf0d2ff

Observation b6cbc026-d020-4b52-a469-632090044c98 · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 230

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unresolved
no resolver link, observed 2026-08-08T04:58:35.261560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:58:35.261560Z digest=sha256:5d1e17019a9787f5883e53f77021862d37537a4d92bb5de4a438a5536f2f73e3

Observation 68622de2-5562-46cb-9fe5-d4aa21a2da9c · inbound

MPL: Multiple Programming Languages with Large Language Models for Information Extraction cites this paper.

MPL: Multiple Programming Languages with Large Language Models for Information Extraction CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 61

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no resolver link, observed 2026-08-07T15:10:16.485186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:10:16.485186Z digest=sha256:19995d704c424b8c48cd5bbb0925b591b652a0ea7379dd1795c331c4a460ac12

Observation 19be7a68-208f-49fa-9f69-19f6108d4d59 · inbound

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs cites this paper.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 43

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no resolver link, observed 2026-08-07T14:48:19.249678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:19.249678Z digest=sha256:ee95411443253c69c489c8d3003d787d769ff1d409589227261b5007cedee9aa

Observation 5173f544-2ac3-44fa-9e15-a7a266c88689 · inbound

Multilingual Multimodal Software Developer for Code Generation cites this paper.

Multilingual Multimodal Software Developer for Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-06T18:19:58.418661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:19:58.418661Z digest=sha256:5c0569bf46f5d1f12982887a59af46ce607369cf5d42b05f0fbbea532284abe0

Observation 6abd49ee-0133-4fa2-b114-69199cf0e504 · inbound

Turning the Tide: Repository-based Code Reflection cites this paper.

Turning the Tide: Repository-based Code Reflection CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T17:51:16.138639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:51:16.138639Z digest=sha256:fee92fe61b21ea482cd5c4a9d0b7281cfd0079a2e1ea3794ff8a98e89220dc46

Observation a9ef152c-9914-4a89-a86e-a22ec9ff58da · inbound

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation cites this paper.

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:40.074446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:43:40.074446Z digest=sha256:502bd79878d228987494969c89a72d4716d0a09fcc1af164960f24690dd7243a

Observation 1bfffdb6-8dca-431d-b1e4-4cc7a15ee911 · inbound

On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization cites this paper.

On the Effectiveness of LLM-as-a-judge for Code Generation and Summarization CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T15:10:25.838845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:10:25.838845Z digest=sha256:caffe50fc08daf57c88e00894c9c84fb75de64fe1d1e91daf4412dca82e19884

Observation 24f2632e-afde-4644-8b01-1bd1ab66a51b · inbound

Enhancing Project-Specific Code Completion by Inferring Internal API Information cites this paper.

Enhancing Project-Specific Code Completion by Inferring Internal API Information CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T13:16:49.123952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:16:49.123952Z digest=sha256:92be185d8b46d0b194c7fa4b06414603133871c1b0d3a6c757ccacaffc6a21af

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

IFEvalCode: Controlled Code Generation cites this paper.

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:f24350f0791eca3edebee2348720c00d8521b609f303e60510733a5adac1a8f4

Observation c3088ef7-f2f7-4f9a-a72f-2dd125a90124 · inbound

Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.

Social Bias in LLM-Generated Code: Benchmark and Mitigation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 157

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:36:08.539242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T19:34:51.433422Z digest=sha256:d440ba7849a9e4892d4b50a185977a6257e8ce6ffb7f37d9139e09707dfa3b0f

Observation c3e50391-24c3-434d-bf5e-0fa6249124ff · inbound

Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.

Evaluating LLM-Generated Code: A Benchmark and Developer Study CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:37:01.729818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T02:27:11.573347Z digest=sha256:846b63dcf73ca2734e6391a8cd41520e5d1c364cad92f1d9a401793419cf206e

Observation 1a43b0bd-2abc-460e-a5f7-7e7be53f3465 · inbound

Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.

Evaluating LLM-Generated Code: A Benchmark and Developer Study CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.785333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-30T22:55:49.377456Z digest=sha256:ed5b1fa08042a08ecd4726f4b80cca9022d3e45ee9ccdb138e4922a573cce59d

Observation 9f8ab754-945b-4299-af38-4f214b18e129 · inbound

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback cites this paper.

A-ProS: Towards Reliable Autonomous Programming Through Multi-Model Feedback CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T09:23:10.559050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T09:22:06.285118Z digest=sha256:8faa979ee456dc1ce99616931ea32cfd13fb325942ec1ef199f472b285c6d58d

Observation dd28e6fe-3195-44a6-a0d4-5b6059b0031b · inbound

A Systematic Study of Behavioral Cloning for Scientific Data Annotation cites this paper.

A Systematic Study of Behavioral Cloning for Scientific Data Annotation CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 290

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T16:23:39.165685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T16:23:08.402194Z digest=sha256:cab860fd17cd6ed37caf70debd3e064f51bc7e49b26494e70448f7837554b69f

Observation e6d8f4ec-e61b-45d0-880c-d29dd31b0e25 · inbound

Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations cites this paper.

Enhancing LLM-Based Code Translation with Verified Multi-Semantic Representations CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T11:48:05.314788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T09:19:50.169338Z digest=sha256:ecde94430aac19caac9407b432874a9f60f6a7685f7165c813e4d91001ba267a

Observation c5a6d16a-2a7e-4276-80d0-d623a0b0646c · inbound

Surveying GenAI-based Automation in Printed Circuit Board Design and Test cites this paper.

Surveying GenAI-based Automation in Printed Circuit Board Design and Test CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 122

Resolution
metadata mismatch
arxiv_id, observed 2026-06-27T08:20:45.317790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T08:13:14.791508Z digest=sha256:eef8657233800eaafd6d4301cf7e1e53109c8a115bf7c1a0f5ecc417cf2692ca

Observation e12ff7b2-d8b4-43aa-8b98-e3b5955610eb · inbound

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling cites this paper.

Mitigating Position Bias in Transformers via Layer-Specific Positional Embedding Scaling CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T19:03:51.877578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-29T04:59:00.304723Z digest=sha256:210880770dcd1c3f37071b01bab98b9c84714bddcdffecdbed35584ab78521c8