Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-14T02:04:17.888553Z
Paper Citation Record · LEDGER
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
As of 19 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 84 inbound Pith citation observations for arXiv:2305.01210.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:33:32.556943Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T02:28:24.338817Z
Reference resolution
76 of 76 outbound references displayed
- verified exact14
- verified fuzzy31
- unresolved31
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
173
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation f73be170-7431-4faa-88aa-b52f8eecb123 · outbound
This paper cites Ahmed and P.
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.249862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 949efa0e-16cf-4f29-b64c-dedd88bdc79c · outbound
This paper cites SantaCoder: don't reach for the stars!.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation SantaCoder: don't reach for the stars!
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:17.938020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 70d2ca6d-ab75-4ac0-9be2-d1ce9c2416c6 · outbound
This paper cites Austin, A.
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.286404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fac0f6ae-5cee-4951-8239-75706a60ae9e · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.289530Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0688b73b-8ed6-4c6e-81fd-5e830ebde207 · outbound
This paper cites Black, L.
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.293002Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f8acf35-d4fc-4f5e-9279-5d44ed6256c9 · outbound
This paper cites Brown, B.
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.300747Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 411e5b4e-02c1-4a32-b650-e4c0d593166c · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.304288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 43dbb854-6b83-4772-8695-6313582d45d7 · outbound
This paper cites Cadar, D.
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.307765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea0550b9-7865-43a5-a0ee-027f55684d79 · outbound
This paper cites Cassano, J.
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.311374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 01893e90-e026-4c1f-b113-5d141122aa4e · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.314674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5f0de9db-4d67-41a8-ad68-edb9b52b77f3 · outbound
This paper cites Evaluating Large Language Models Trained on Code.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Evaluating Large Language Models Trained on Code
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:04:17.959701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 36f78d3c-1be9-46c8-a7f6-4e08ba570ced · outbound
This paper cites Chiang, Z.
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.327981Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c5c7688c-859a-4e68-bd0f-83cb82f2e8f8 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.331053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6bdc79ea-ee1a-4ff4-a742-b67b9cc0f4ae · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.335212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 66279dc6-8d9f-4679-bc48-798242d23d7f · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.339909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4b45ab5c-057b-4993-a08d-37c75e5acccc · outbound
This paper cites Fauxpilot: an open-source alternative to github copilot server.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Fauxpilot: an open-source alternative to github copilot server
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.345772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 29418d9f-fc37-4661-aef5-bccfcfe1939a · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.035645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8968cd5d-a183-49fc-b36d-d7db459f9be1 · outbound
This paper cites Fried, A.
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.041895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 17cd2fbb-21c7-4c07-9348-11938d4ad6a0 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.047446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2079d139-fe79-4d00-a935-0d345e139e9e · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.053673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8bf1ae76-8faf-42f3-93c1-65f71d1bbdc3 · outbound
This paper cites Gulwani, O.
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.063338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f77f2e7b-9911-4a06-a377-9c55202ed60a · outbound
This paper cites Hastie, R.
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.070028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 34ce07cf-2573-4151-be96-42a863889e1e · outbound
This paper cites Holler, K.
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.074605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a300eaed-3f09-4678-b30b-65804bf3c580 · outbound
This paper cites Ivankovi´c, G.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Ivankovi´c, G
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.079390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 374ce154-fb10-42bb-b507-37bce2261277 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.085043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4aa24f72-6b1a-445c-b36c-9ce893a23b34 · outbound
This paper cites Mistral 7B.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Mistral 7B
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:04:18.001948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 52af1a6e-2121-430d-a47c-0b8f3c53b5c5 · outbound
This paper cites Impact of Code Language Models on Automated Program Repair.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Impact of Code Language Models on Automated Program Repair
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.014273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7fa4371e-4c3f-46e5-a8dc-7876d2ecd440 · outbound
This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:04:18.022396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d50fb4ef-afc7-441a-b004-ef92a7df5e61 · outbound
This paper cites Kalyan, A.
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.090978Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a3138b82-c67c-4e3a-8cf7-da1edda36ac4 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.098983Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4d310cd3-2c37-4d00-ad59-73124943232f · outbound
This paper cites Unsupervised Translation of Programming Languages.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unsupervised Translation of Programming Languages
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:17.993427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f2eb8f01-4c65-49f9-8673-f388a46ee0a1 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.103730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation abdb1ea0-c616-46ad-9db3-5c4ca40bf96e · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.111346Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b63a7451-52dc-41e6-83b4-9eb99978cbc0 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.119161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fa1da41f-c754-45e3-b78e-19fa62da4acd · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.122573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 533ad619-2372-445d-9a43-8a88f4d15829 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 36
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.126476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7a53ef94-3f67-47df-92ed-c82981612337 · outbound
This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:40:02.914862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ead87ab5-6cef-4d53-b7bf-5df8003dabef · outbound
This paper cites WizardCoder: Empowering Code Large Language Models with Evol-Instruct.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation WizardCoder: Empowering Code Large Language Models with Evol-Instruct
Reference 38
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:17.985483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a455a752-73ee-4ac4-9d80-ce0a39234467 · outbound
This paper cites Manna and R.
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.133825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 76fba8f1-d798-4456-b4db-f133d7123aae · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.137223Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e80156be-262b-4f1b-a0d4-07973268d354 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.140516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ead5d23-3592-446d-b850-e9da13ab7789 · outbound
This paper cites GitHub Copilot – Your AI pair programmer.https://github.com/features/ copilot.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation GitHub Copilot – Your AI pair programmer.https://github.com/features/ copilot
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.148026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation aedbf686-24cf-4ad2-8502-7294825cabc7 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.152202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ef70036b-a4bf-4258-b343-424e609f5e13 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.156502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8f23dfe8-7248-4f46-b55e-a2a9997199b8 · outbound
This paper cites Nijkamp, H.
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.160859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4a8e6c2e-4908-4822-81ac-cf845dfebda4 · outbound
This paper cites Nijkamp, B.
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.165155Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 67422d45-fd7e-47af-a57b-adc9fa271af0 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.169828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e05f6857-6be3-4c99-aced-2f4ff5990bba · outbound
This paper cites Chatgpt: Optimizing language models for dialogue.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Chatgpt: Optimizing language models for dialogue
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.177498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 58ebfbde-dbc7-4b54-a72b-44d0d3b610a5 · outbound
This paper cites GPT-4 Technical Report.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation GPT-4 Technical Report
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:04:18.008192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 040cdad9-9fc2-422a-9fd0-fd3612114024 · outbound
This paper cites Papineni, S.
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.185652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ad4371e0-fe75-4b4e-9e25-bf9fcc182a95 · outbound
This paper cites Petrovi´c and M.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Petrovi´c and M
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.195769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 54038b96-f9c8-4450-8fff-fd9f12c5d017 · outbound
This paper cites Phind/phind-codellama-34b-v2 · hugging face.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Phind/phind-codellama-34b-v2 · hugging face
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.201717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1d12a269-ae13-4c0c-ad3c-04cbe961407a · outbound
This paper cites Rothermel, M.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Rothermel, M
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.205944Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1387f375-fb63-43f5-8064-f47684925b52 · outbound
This paper cites Code Llama: Open Foundation Models for Code.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Code Llama: Open Foundation Models for Code
Reference 54
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T02:04:17.969215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5a2bcf3d-6b40-411b-8ea3-814661c43b0c · outbound
This paper cites Leveraging Automated Unit Tests for Unsupervised Code Translation.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Leveraging Automated Unit Tests for Unsupervised Code Translation
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:17.974075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f5d5f0c2-5bd9-4b0d-8fd5-d3ff6942ddd0 · outbound
This paper cites Security.
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.210368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b62d1faa-3079-47d2-8881-6702e46e8d30 · outbound
This paper cites Serebryany.
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.215961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 0cff1382-c898-490f-95a9-fff5ccdc35bd · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.220422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 817e2ba6-0bba-4ea7-9805-21c1afc5832c · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 59
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.224667Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5490c333-f08a-47f3-9cca-26a3264b47b5 · outbound
This paper cites Stablelm: Stability ai language models.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Stablelm: Stability ai language models
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.229138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 63630815-ccf0-4f45-9534-cc7b27b0265c · outbound
This paper cites Vaswani, N.
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.233368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c1ebfdb5-bd0e-4dcf-af14-1cb47f90cca0 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 62
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.237637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f37ade9c-ef78-4a70-aa7b-e39b36609806 · outbound
This paper cites Wang and A.
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.242502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c70a20bf-4ed4-4542-bb05-5808f9ce5db1 · outbound
This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation CodeT5+: Open Code Large Language Models for Code Understanding and Generation
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T05:26:57.653334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9a793f47-af67-4557-a227-e3b203b221aa · outbound
This paper cites Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Copiloting the Copilots: Fusing Large Language Models with Completion Engines for Automated Program Repair
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:17.952242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 784f48b6-3d7b-4b9a-b472-0205e3d903ec · outbound
This paper cites Winterer, C.
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.246481Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6a6e265a-f2af-44c1-aed0-82c85a5278ee · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 67
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.283210Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 27e9f268-6416-4047-bc48-15e164fd257a · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 68
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.252923Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ea49175e-f8a9-46ab-8c8b-1023615d799a · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 69
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.258639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4bf61302-0235-4e49-8dcb-f6d2012d1ee9 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 70
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.262350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 50822c0d-70fe-4389-bb61-6356562a4a54 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 71
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.265396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 6ee73def-f8a7-4677-94b6-bebeee093b52 · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 72
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.268788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation be4a29fd-3edd-442e-bc5a-dbe64d19da9d · outbound
This paper cites an unresolved cited work.
Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation Unresolved cited work
Reference 73
- Resolution
- unresolved
- raw_fallback, observed 2026-05-14T02:04:18.272073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 79cac963-d3db-4feb-bd5f-bf1526b40968 · outbound
This paper cites Zalewski.
Reference 74
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.275719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a0df4eec-d2b2-43a5-baec-d2e5856d21a6 · outbound
This paper cites Zhang, D.
Reference 75
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-14T02:04:18.279191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d065e01f-19e0-4044-a0f1-5b1be68a83b1 · outbound
This paper cites CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X.
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
- Resolution
- 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 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
Observation 40aaa769-da10-494f-a81a-6b6d410f0289 · inbound
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.
CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 69
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 48975998-ef2f-4736-aa69-c3289948a757 · inbound
StarCoder: may the source be with you! cites this paper.
StarCoder: may the source be with you! Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 289
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c1862457-8bd6-468d-9b75-9c5425455271 · inbound
Textbooks Are All You Need cites this paper.
Textbooks Are All You Need Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation eb0386ec-8d79-42f0-ac77-d3e6558a12d4 · inbound
A Survey of Hallucination in Large Foundation Models cites this paper.
A Survey of Hallucination in Large Foundation Models Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 81
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-16T15:21:00.858962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9d2f60b4-ba28-4982-946b-1f55c3023fda · inbound
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? cites this paper.
SWE-bench: Can Language Models Resolve Real-World GitHub Issues? Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 113
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5a6e1e36-c4e9-4760-a5ae-00f9de4c00e7 · 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 Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 277
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 11e163e2-c1d4-4f87-ab0b-4667e551c619 · inbound
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering cites this paper.
SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2823812c-0453-4f46-9102-f4e39bdd050b · inbound
CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph cites this paper.
CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:29:12.682581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aeee4a21-b652-480b-84f4-7b83850abae1 · inbound
Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks cites this paper.
Strategic Prompting for Conversational Tasks: A Comparative Analysis of Large Language Models Across Diverse Conversational Tasks Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:28:14.350125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f2718c9-2249-4d5a-9e4b-11728ad13b08 · inbound
The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data cites this paper.
The Performance of the LSTM-based Code Generated by Large Language Models (LLMs) in Forecasting Time Series Data Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:59:32.298932Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5a02bc2-4a00-48d0-bf54-8db435290e06 · inbound
From Words to Workflows: Automating Business Processes cites this paper.
From Words to Workflows: Automating Business Processes Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T22:27:10.711089Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8def883-2059-4f73-a6af-c69079440866 · inbound
Evaluating and Aligning CodeLLMs on Human Preference cites this paper.
Evaluating and Aligning CodeLLMs on Human Preference Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:53:15.275881Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ecdb8613-ee29-4043-9fc7-c8d499b8dcf2 · 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 Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:16:26.666546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8089aeac-cd8f-4762-bc41-d086fbdce08d · inbound
ExecRepoBench: Multi-level Executable Code Completion Evaluation cites this paper.
ExecRepoBench: Multi-level Executable Code Completion Evaluation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:27:05.650690Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e019d461-189d-42f9-a85d-d39da7808a20 · inbound
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization cites this paper.
Improving Multi-Step Reasoning Abilities of Large Language Models with Direct Advantage Policy Optimization Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:56:22.405941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8561b2e7-fb6d-4047-b59a-bbc745bf1f56 · inbound
Assessing Large Language Models in Comprehending and Verifying Concurrent Programs across Memory Models cites this paper.
Assessing Large Language Models in Comprehending and Verifying Concurrent Programs across Memory Models Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:19:35.791315Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation acbc8a92-96c4-4918-9b37-85876b4b05a1 · inbound
Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation cites this paper.
Do LLMs Have Visualization Literacy? An Evaluation on Modified Visualizations to Test Generalization in Data Interpretation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:37:15.042880Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92fc377b-b5d7-47d3-92a6-41e89904cb66 · inbound
CodeSCM: Causal Analysis for Multi-Modal Code Generation cites this paper.
CodeSCM: Causal Analysis for Multi-Modal Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:08:13.502210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fd5de2bb-c7be-4f87-bf34-5a3b69153488 · inbound
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs cites this paper.
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8ff3787c-2972-4006-beb4-b892c5d5f118 · inbound
Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation cites this paper.
Code Copycat Conundrum: Demystifying Repetition in LLM-based Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:33:32.556943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c88144e7-753b-411a-8ca8-5bb712fd6ed4 · inbound
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs cites this paper.
LeetCodeDataset: A Temporal Dataset for Robust Evaluation and Efficient Training of Code LLMs Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:47:34.580790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5189f5a-5185-4301-8b8d-423e2fa96bad · inbound
Directed Greybox Fuzzing via Large Language Model cites this paper.
Directed Greybox Fuzzing via Large Language Model Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:56:02.510055Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e25c6fda-9932-4fa8-a1d8-14274e922e93 · inbound
CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation cites this paper.
CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:22:19.144150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35c67f64-6292-436a-8fe4-c2f9b39bf465 · inbound
Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations cites this paper.
Are requirements really all you need? A case study of LLM-driven configuration code generation for automotive simulations Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:19:10.199450Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8543db75-23af-493a-83d7-435e3d5ef950 · inbound
Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Understanding cites this paper.
Sense and Sensitivity: Examining the Influence of Semantic Recall on Long Context Code Understanding Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:20:16.483017Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87d06d85-d232-48cf-8b08-7e612b513762 · inbound
HardTests: Synthesizing High-Quality Test Cases for LLM Coding cites this paper.
HardTests: Synthesizing High-Quality Test Cases for LLM Coding Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:39:56.781297Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f91b6487-e940-4a96-915a-0d6f1ab6685d · inbound
SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner cites this paper.
SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:01:08.583838Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7225e502-4e22-4b42-8d75-dfaad8008844 · inbound
Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure cites this paper.
Can LLMs Generate High-Quality Test Cases for Algorithm Problems? TestCase-Eval: A Systematic Evaluation of Fault Coverage and Exposure Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:59:56.261209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bba9f21-7284-434e-9af4-2ed79294735c · inbound
Essential-Web v1.0: 24T tokens of organized web data cites this paper.
Essential-Web v1.0: 24T tokens of organized web data Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:24:45.298601Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6282e203-731d-4d3b-b0d2-f2945b65393e · inbound
Mercury: Ultra-Fast Language Models Based on Diffusion cites this paper.
Mercury: Ultra-Fast Language Models Based on Diffusion Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-05-17T02:05:18.905965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 74ff57c7-988d-4879-8a1a-4999167ea8b0 · inbound
LLMCup: Ranking-Enhanced Comment Updating with LLMs cites this paper.
LLMCup: Ranking-Enhanced Comment Updating with LLMs Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:19:58.328528Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8163ac81-d03e-43bf-affc-011acb364d10 · inbound
Multilingual Multimodal Software Developer for Code Generation cites this paper.
Multilingual Multimodal Software Developer for Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:18:54.652860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b2d5467-08b1-46de-a601-caeb83715c05 · inbound
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.
Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 109
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:54:17.252756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5033f586-a176-4f67-ab6b-e7c12760a395 · inbound
Investigating Training Data Detection in AI Coders cites this paper.
Investigating Training Data Detection in AI Coders Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:51:53.788650Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 497518e2-25eb-4892-865f-9fec03203f29 · inbound
Technical Report of TeleChat2, TeleChat2.5 and T1 cites this paper.
Technical Report of TeleChat2, TeleChat2.5 and T1 Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:43:22.362379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4d4cff7-bc60-480a-b542-f557db50255e · inbound
IFEvalCode: Controlled Code Generation cites this paper.
IFEvalCode: Controlled Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:44:34.011164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b7f693b-3821-4027-8715-437ead5f5ccc · inbound
NVIDIA Nemotron 3: Efficient and Open Intelligence cites this paper.
NVIDIA Nemotron 3: Efficient and Open Intelligence Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 104
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-18T01:40:42.541794Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1084df84-7ec8-49a2-9561-8a9106c465bd · inbound
Ensemble-Based Uncertainty Estimation for Code Correctness Estimation cites this paper.
Ensemble-Based Uncertainty Estimation for Code Correctness Estimation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-14T22:53:14.056575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3b19f78c-15fc-4996-8f17-100d027cf72e · inbound
Leveraging Mathematical Reasoning of LLMs for Efficient GPU Thread Mapping cites this paper.
Leveraging Mathematical Reasoning of LLMs for Efficient GPU Thread Mapping Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 218a1ff0-f3c8-40de-a319-a1d625c43278 · inbound
Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation cites this paper.
Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a41a87fa-1cce-4152-b285-44bacb6a7aed · inbound
Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation cites this paper.
Think Before You Code: Dual Reasoning for the NLSafety-Utility Trade-Off in LLM Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:19:57.865123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a343b8f7-60d1-4bcd-bb72-1bbee37aa1fe · inbound
LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.
LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T19:56:33.755930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5cb5290e-be05-415e-b994-b43b142f8936 · inbound
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts cites this paper.
Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3f084246-e86a-43b0-ab80-84f920b33324 · inbound
Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation cites this paper.
Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8d6e07d3-3929-444d-82fe-9ce2d533683b · inbound
You Don't Need Public Tests to Generate Correct Code cites this paper.
You Don't Need Public Tests to Generate Correct Code Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5b0dd6e1-4b21-4614-ae54-72b8f8930637 · inbound
Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis cites this paper.
Defective Task Descriptions in LLM-Based Code Generation: Detection and Analysis Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d8d67c4e-06f9-43ed-b96a-70a287891fd9 · inbound
When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation cites this paper.
When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4ec36916-308f-4f35-8a14-a51ea3e590a6 · inbound
ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation cites this paper.
ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 32612799-a066-49b0-b250-2d8d92b0940e · inbound
ProgramBench: Can Language Models Rebuild Programs From Scratch? cites this paper.
ProgramBench: Can Language Models Rebuild Programs From Scratch? Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e9240e43-6025-4883-aef6-1fe98f3715d6 · inbound
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code cites this paper.
Bridging Generation and Training: A Systematic Review of Quality Issues in LLMs for Code Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4423ff8d-f199-4bb1-bfff-6be961c09317 · inbound
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d9bcabbb-4713-4817-b8ce-183363f209e4 · inbound
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training cites this paper.
SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T23:23:51.285678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 760705ac-573d-4fe2-baa0-39f883d84a80 · inbound
Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation cites this paper.
Using Semantic Distance to Estimate Uncertainty in LLM-Based Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 8aefd51a-7419-46f4-8b6e-86b02e2f5293 · inbound
Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.
Evaluating LLM-Generated Code: A Benchmark and Developer Study Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cacf0642-5b7b-4c18-9d8d-cc6fc6eec3a1 · inbound
Evaluating LLM-Generated Code: A Benchmark and Developer Study cites this paper.
Evaluating LLM-Generated Code: A Benchmark and Developer Study Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T13:35:46.788186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 3cdb55f6-0bde-4d7e-b438-2ebdf4116c63 · inbound
DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation cites this paper.
DARE: Difficulty-Adaptive Reinforcement Learning with Co-Evolved Difficulty Estimation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T02:04:18.346890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f62d2ac0-7294-439d-9d67-3408ef4d6fcc · inbound
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation cites this paper.
Learning to Foresee: Unveiling the Unlocking Efficiency of On-Policy Distillation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-22T10:11:22.819039Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e5b40be9-fd56-473e-914c-dc4bdcfcb9ff · inbound
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution cites this paper.
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-05-19T16:32:39.498041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation bcc93a67-bab7-4d9f-8068-85a5a2621b86 · inbound
Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning cites this paper.
Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T13:18:18.484837Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c7bf2feb-010f-4fb2-927d-d630c7e32d9c · inbound
Hide to Guide: Learning via Semantic Masking cites this paper.
Hide to Guide: Learning via Semantic Masking Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T12:24:40.021889Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 17f86524-7e07-495f-b44c-ccf06ace390b · inbound
Efficient Benchmarking Is Just Feature Selection and Multiple Regression cites this paper.
Efficient Benchmarking Is Just Feature Selection and Multiple Regression Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 51
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T00:24:05.147871Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 25a591e1-839c-457b-8a2c-5f4f3c417a3f · inbound
Mellum2 Technical Report cites this paper.
Mellum2 Technical Report Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 45
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T23:02:46.558336Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fc6dd5e8-dcb0-4ed7-9f18-1d229776522b · inbound
Before the Model Learns the Bug:Fuzzing RLVR Verifiers cites this paper.
Before the Model Learns the Bug:Fuzzing RLVR Verifiers Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T20:46:13.789220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c04cad1e-f21f-4203-b121-d643ecf823ce · inbound
What makes a harness a harness: necessary and sufficient conditions for an agent harness cites this paper.
What makes a harness a harness: necessary and sufficient conditions for an agent harness Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-06-27T19:31:10.824991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ae850d5d-f139-45b7-b894-84f5dc478d58 · inbound
SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR cites this paper.
SFT Overtraining Predicts Rank Inversion via Entropy Collapse Under RLVR Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-03T20:38:55.637534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4c48cefe-3cb8-4e0e-8d01-8ca8db22e6a3 · inbound
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.
Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-06-30T08:34:26.739982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 47b71b74-eb5f-4be1-8c74-7423ae7750d8 · inbound
An Empirical Study of Security Calibration in Large Language Models for Code cites this paper.
An Empirical Study of Security Calibration in Large Language Models for Code Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 41
- Resolution
- verified exact
- local_arxiv, observed 2026-07-01T10:45:43.070608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 10b6b78b-dee3-45c4-ad93-253eab5c4f9d · inbound
AlgoBench: Benchmarking Algorithmic Adaptation in Code Generation cites this paper.
AlgoBench: Benchmarking Algorithmic Adaptation in Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-07-02T18:47:17.127993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c30963ce-27fa-400e-a435-fb9881c66479 · inbound
Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models cites this paper.
Oyster-II: Reinforcement Learning for Constructive Safety Alignment in Large Language Models Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:11:38.403281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4053761-1f3a-4636-b63e-1601cd84c74c · inbound
A Workflow-Aware Serving Layer for Agentic Applications cites this paper.
A Workflow-Aware Serving Layer for Agentic Applications Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T05:56:18.797766Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f66b06b5-0679-41c2-8d75-dc2f0fff2168 · inbound
Anchored Self-Play for Code Repair cites this paper.
Anchored Self-Play for Code Repair Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T01:53:44.674517Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74094312-599d-401f-bb68-9e6b3453759b · inbound
From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs cites this paper.
From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 101
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T13:57:06.725523Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5acf4e6d-2eaa-4133-858a-412334be0a1d · inbound
In-Place Tokenizer Expansion for Pre-trained LLMs cites this paper.
In-Place Tokenizer Expansion for Pre-trained LLMs Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:50:16.078214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 352c5c68-993b-4673-8b6d-9112cf21ede2 · inbound
Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding cites this paper.
Half the Experts, All the Code: One-Shot Domain Pruning of Mixture-of-Experts LLMs for Coding Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:12:53.304097Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72b1a9ee-8265-41f2-88a1-b21122b24e24 · inbound
FlowBlock: Wavefront-Parallel Decoding for Self-Correcting Diffusion Language Models cites this paper.
FlowBlock: Wavefront-Parallel Decoding for Self-Correcting Diffusion Language Models Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T17:28:55.320455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95e456d9-3bab-4274-9bd1-b4de3c8cf946 · inbound
Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective cites this paper.
Rethinking Heterogeneous LLM Merging: A Weighted Model Averaging Perspective Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:24:19.522774Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3c17ac66-529a-446f-9b63-b65ecb06dc92 · inbound
Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems cites this paper.
Do Modules Stay in Their Lane? Role Drift in Compound LLM Systems Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:17:28.145819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d5732c5c-1f04-4850-ae29-5c652702d708 · inbound
TLA+-Bench: An Execution-Grounded Benchmark and Dataset for Natural-Language to TLA Specification Generation cites this paper.
TLA+-Bench: An Execution-Grounded Benchmark and Dataset for Natural-Language to TLA Specification Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T22:39:33.929232Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1cebe2c6-cf26-46bc-b2f4-b44bea188bbc · inbound
AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane Policies cites this paper.
AtumAI: A Principled Framework for Agentic Generation of Datacenter Control-Plane Policies Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T04:39:20.562448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0c3983b-7ae8-4e92-9d97-88c789f1249b · inbound
Route-Align-Verify for Functional Correctness in Code Generation cites this paper.
Route-Align-Verify for Functional Correctness in Code Generation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:43:44.662023Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 273df496-7f4a-481c-8da3-dceaa36e01cd · inbound
Reasoning from Traces: Divergence-Guided Agentic Repair of WebAssembly Discrepancies cites this paper.
Reasoning from Traces: Divergence-Guided Agentic Repair of WebAssembly Discrepancies Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T11:39:30.938716Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87651470-86cc-41a3-8229-f6353539872a · inbound
When Do Task Vectors Interfere? Mapping the Validity Boundaries of Weight-Space Composition cites this paper.
When Do Task Vectors Interfere? Mapping the Validity Boundaries of Weight-Space Composition Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:35:24.740380Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e08ed39-0c87-412e-9dba-2d8a1f67fe99 · inbound
REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation cites this paper.
REOPD: Reliability-Adaptive Reward Extrapolation for On-Policy Distillation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:35:19.162472Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b582c7e7-387c-4ec0-90dc-fbd34e2a40f8 · inbound
Latent On-Policy Self-Distillation cites this paper.
Latent On-Policy Self-Distillation Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:07:21.547240Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.