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Paper Citation Record · LEDGER

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

As of 8 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 8 inbound Pith citation observations for arXiv:2506.06971.

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

pith.paper-citation-record.v1
2506.06971 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:51:08.296878Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:39:07.157245Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T04:06:35.135954Z

Reference resolution

33 of 33 outbound references displayed

  • verified exact3
  • verified fuzzy4
  • unresolved25
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1cc80f4a-1b19-4098-a200-3c42fdac6bd7 · outbound

This paper cites URL: " 'urlintro :=.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation URL: " 'urlintro :=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.145300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.145300Z digest=sha256:b5af5fe6f88f1468eac1fd771d02cfca3b19ce24161a7cd954c5d8f4e33ba786

Observation 25a45a19-72f3-4669-98b4-b3c5bfe7d344 · outbound

This paper cites write newline.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-07T05:51:08.150604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.150604Z digest=sha256:7268f30ae1611c12e6b80f3aec1c98cde98908ac732e1d1d60714360678f68d6

Observation 4576ad32-3c13-4e05-bd36-f65481606d51 · outbound

This paper cites Claude 3.5 sonnet model card addendum.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Claude 3.5 sonnet model card addendum

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:51:09.001469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.155720Z digest=sha256:766c2b13ff66b95c8c5e3051ce5aa0d676d5916249d2dd751cd56597e53be584

Observation d5204a0a-3cb1-43c1-a339-9aadcfabc6e1 · outbound

This paper cites Program Synthesis with Large Language Models.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Program Synthesis with Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.160153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.160153Z digest=sha256:9c447614cae92d13ec3b1a31b3b2f79242e30cc81b3bf101b9db8f2502cbe8b7

Observation 8024a898-52c8-4871-8dda-8812174d5f89 · outbound

This paper cites an unresolved cited work.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Unresolved cited work

Reference 5

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:51:08.887769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.165145Z digest=sha256:e48cefaf118cf75a30e10594d3eb7ed78eea81985d57541da4d2accdac13a8b4

Observation 6f2d7cb4-bf2f-4855-a711-9fba19f45d9b · outbound

This paper cites B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., et al.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., et al

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:51:08.987211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.169687Z digest=sha256:86584a5c08288a7600cccd88f52b28936ec0a269ec6de9bc24b9bc6e915a6341

Observation a05ed8dd-349a-41e4-9ac3-3f8917fc2b31 · outbound

This paper cites an unresolved cited work.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.174079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.174079Z digest=sha256:d8c9be1eb0ec64c2ab6cf103429d42ad299e4030f3cc38098deb51c5de5495f4

Observation f3be7efb-d35d-43b4-9c65-2d8fecfd881a · outbound

This paper cites Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Speak Easy: Eliciting Harmful Jailbreaks from LLMs with Simple Interactions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.178292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.178292Z digest=sha256:b015cef1f8fb9e58e3da3a95d5814a043b5fa7026c8ebe81e02f2a06aef43317

Observation 5a20a6cb-b99a-4df5-a395-290fbf69998a · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Evaluating Large Language Models Trained on Code

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.184087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.184087Z digest=sha256:639085a5945980fed9eb0415b9359e68a3b0908989bc5ec36b3a135fcd1ff653

Observation 166905c1-58f0-405c-8995-a48634ab6de8 · outbound

This paper cites Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.188690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.188690Z digest=sha256:8f36a714e12150114c43b4af11c173442707a2ca619168e71250d11376723543

Observation 406460a9-b7f9-46ec-82de-f6e95517a595 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation PaLM: Scaling Language Modeling with Pathways

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.193698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.193698Z digest=sha256:fc0583669a1ed7ee79abc83901065b2ad725d0a1e628cbb18e3a724d2a3026a0

Observation ea126601-bc10-4287-81be-f3a96c7854a8 · outbound

This paper cites an unresolved cited work.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:51:08.971841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.198459Z digest=sha256:9858bce551101953d354e90a4ffd503e9350385070de4e45ba81d2ba304af0f4

Observation f4ff5f4c-af3d-44fb-afe9-397637c5d5a6 · outbound

This paper cites an unresolved cited work.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.202745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.202745Z digest=sha256:94eb160701e473d22e948b61a97c436a60e425243df1de037b2b0a73b12abdd5

Observation 17441521-0ea3-466a-916a-3477adb86b6a · outbound

This paper cites Reasoning Robustness of LLMs to Adversarial Typographical Errors.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Reasoning Robustness of LLMs to Adversarial Typographical Errors

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.207227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.207227Z digest=sha256:ee3c4210f935712647d73fa33eb67b78938db7195ef144428b3264d485a42fdf

Observation fb7d36f6-e76c-4daa-83bb-36b16ce378b4 · outbound

This paper cites ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.212502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.212502Z digest=sha256:3a74608c3442c3bb57d1eef72ad7c906a7dc40b8e2ea6ad9b26b4bb1e343d000

Observation e789521a-ec05-4200-9790-db0e2307b013 · outbound

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

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.217351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.217351Z digest=sha256:4961b363ec11bdde6b1cc8e874bb9fc37cab30fbe66b2a4ac8805f718cb9ac36

Observation d9d8ee22-e5c0-433d-8521-cbf204bd4b19 · outbound

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

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.222098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.222098Z digest=sha256:1991102dca42cd1054e8bd753d6b0144ddded80329e401dc054d5cf5a8414f04

Observation 269a8631-4d0f-4694-972b-72d75345b3b0 · outbound

This paper cites A Survey on Large Language Models for Code Generation.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation A Survey on Large Language Models for Code Generation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.226705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.226705Z digest=sha256:142c376c21dab3c69f201181ae2c9577c0cde371dce37067e9483c0deb639c66

Observation d56653d6-2a94-4d38-a31a-07e357cd0ac7 · outbound

This paper cites Introducing llama 3.1: Our most capable models to date.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Introducing llama 3.1: Our most capable models to date

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:51:08.956039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.232645Z digest=sha256:29d15a1abccd146b0c05623eea1b20eb375763d0437827d6941aeba9eb8b6c37

Observation 3af16814-659a-4225-ae08-783fd29db0d6 · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.236834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.236834Z digest=sha256:7af6fa933e240a26370779e7ce98d5886a4798e8beb8e82358bb5ada3383d50c

Observation 5eae57af-4b47-48db-ac84-34593590a22b · outbound

This paper cites Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey

Reference 21

Resolution
malformed identifier
no resolver link, observed 2026-08-07T05:51:08.241334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.241334Z digest=sha256:b653ff46efe3f5b52026e3dac94968eee19ceb7a11f6305dc6f24e0dde016ad2

Observation 616200a2-78ed-404f-a347-e7e31ee6f17c · outbound

This paper cites Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Evaluate-and-Purify: Fortifying Code Language Models Against Adversarial Attacks Using LLM-as-a-Judge

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:51:08.549047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.245901Z digest=sha256:34d083f342e29779d2c30a237ff3965b053cf5558069839b1061dfc0d310885c

Observation e31c552c-5ad9-4857-94ed-d91255800a02 · outbound

This paper cites Gpt-4 technical report.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Gpt-4 technical report

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:51:08.941207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.250595Z digest=sha256:029afd0a314475c9c3e53f713707b7aeeeb179cc0d5e147126ac71a01aaa3ab9

Observation 7d6bf28a-8846-4d2c-a4c9-afa79093e908 · outbound

This paper cites ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.254881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.254881Z digest=sha256:2e72d1af2b706ae6857acd9f21d496d9b04ac478035f495bf5d7b440425c9609

Observation 965cd3c1-0dec-41e0-a7f7-cdc7e40210b8 · outbound

This paper cites Voice Jailbreak Attacks Against GPT-4o.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Voice Jailbreak Attacks Against GPT-4o

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.260580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.260580Z digest=sha256:619b95fba4ce5b163a45134b89951c8119bfa76dbbe955623fbd38cabacabec1

Observation 2b9881c2-b2a5-46d4-901b-0e920d6cc20b · outbound

This paper cites an unresolved cited work.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Unresolved cited work

Reference 26

Resolution
verified exact
raw_fallback, observed 2026-08-07T05:51:08.500557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.265077Z digest=sha256:564bb3a904527cb61c476436b3e1067f6720f2ecee25d384cdb0bf14a2a37b17

Observation 20ac46b0-20b6-4df8-954f-b7a22e8fb6c9 · outbound

This paper cites CodeJudge: Evaluating Code Generation with Large Language Models.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation CodeJudge: Evaluating Code Generation with Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.269551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.269551Z digest=sha256:2a6f9c7c20ddc42f65c854879f320a516421598d2cef4d2aa402e7f1f4deca1a

Observation ba98e327-84fd-4114-8df8-c1c236ec837e · outbound

This paper cites Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.274247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.274247Z digest=sha256:6778301814d3bd9632df2e597dea348ace23765d38d7ad2c6027be652b54c54c

Observation 423aab1f-ee95-4121-aaf2-efe02d4cb7ba · outbound

This paper cites V., Zhou, D., et al.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation V., Zhou, D., et al

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.279011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.279011Z digest=sha256:7d3c35c9b17bfee4f6d885c765c78ae83bcd6ee167cd41dc5fb27fba3ea9b75f

Observation 937e60db-bb68-4755-864e-e46940ef7d65 · outbound

This paper cites DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation DeceptPrompt: Exploiting LLM-driven Code Generation via Adversarial Natural Language Instructions

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.283547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.283547Z digest=sha256:af887a9ccb792deed05efdb6751c0a9ca501b133ee351edf359620bb64247733

Observation 58279d8c-98e0-4b95-b414-cb3b8de897e8 · outbound

This paper cites The Impact of Prompt Programming on Function-Level Code Generation.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation The Impact of Prompt Programming on Function-Level Code Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.288204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.288204Z digest=sha256:891772b8c7dfa7e1f11f1761e660f46af58f9ff266bb900084f9c83907c60ea8

Observation 5cc1ba21-d991-4b98-b340-126cd5f76231 · outbound

This paper cites an unresolved cited work.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:51:08.918066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T05:51:08.292601Z digest=sha256:a0fdf089461713dd0753a20512e15f93b30b212f261bc63f2b390a4eec8d8c0e

Observation eba1995d-3f9b-43be-9282-c8fcc94267ad · outbound

This paper cites Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs.

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation Uncertainty-Guided Chain-of-Thought for Code Generation with LLMs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:51:08.296878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:51:08.296878Z digest=sha256:9f730cfa62a06aa085588c24a15660b30b23519a8936a982efa9b086fc1806db

Pith citing papers

Observation 18593e05-7b44-4af2-b289-62364271ef2b · inbound

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models cites this paper.

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 192

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:07.157245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:39:07.157245Z digest=sha256:5181386d826e69cf376b84af0b73db603c4ac0a975ad9c36c7850e76931e4255

Observation 8d421516-874e-474e-9b4e-89c13f29d2e7 · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:31:24.747791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T00:29:07.951709Z digest=sha256:80455b69b664c35fa9a5d3fe22f93818aac41f674c86c58dff07db581c955213

Observation f41b8102-6318-49a8-ad9c-8d91cff7844a · inbound

LLM Harms: A Taxonomy and Discussion cites this paper.

LLM Harms: A Taxonomy and Discussion Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-03T18:19:19.974924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:19:19.974924Z digest=sha256:60c650beb80e5c018241ff9602ffe6d099aa7e66d2b8482fa302ce6650832f4d

Observation dc34b590-72f1-4af7-ad4c-22d199aaba51 · inbound

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations cites this paper.

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T03:47:15.321963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T03:43:18.987241Z digest=sha256:e54759075d4904b159cc9e4ef569d163db1d0f78881403bed9f8b29765bc5bdd

Observation 68590926-ccbb-4007-b745-06c1472dd8c3 · inbound

Evaluating the Environmental Impact of using SLMs and Prompt Engineering for Code Generation cites this paper.

Evaluating the Environmental Impact of using SLMs and Prompt Engineering for Code Generation Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:13:13.226797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T20:12:12.283350Z digest=sha256:02aeb34912874f525b8e8386b4f7e90e95eda68ce746bfb16bc3e578e6569af8

Observation ae55b03f-1380-4ca0-b2a9-940c6a69186e · 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 Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:17:08.280584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T03:00:26.137401Z digest=sha256:22856ace602f561447e5b615026a33c4406f2686b660d852b26bf3ddd17c25dc

Observation 8b0bd2e4-a2e6-4695-abf1-b7d4f4f748d9 · inbound

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models cites this paper.

R-CoT: A Reasoning-Layer Watermark via Redundant Chain-of-Thought in Large Language Models Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-12T00:01:16.603177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T15:54:22.189376Z digest=sha256:7a7fc85928fda59a525559b46d9f17d85f06a3401b87cd4c62a0bb70d091cd09

Observation 1c751d0a-ac3c-4453-a69f-9c738afe5221 · inbound

Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks cites this paper.

Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-02T04:06:35.137777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T09:27:30.923556Z digest=sha256:a37e38a47152b81340f29c7ef3e7c3f56512c89234e51d4a7e932ae3dc3c88ce