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Paper Citation Record · LEDGER

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2403.07865.

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

pith.paper-citation-record.v1
2403.07865 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:09:59.268315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T21:36:52.482168Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 869400ae-c070-4454-ac6f-fb30defd8f7f · inbound

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming cites this paper.

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:09:59.268315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:09:59.268315Z digest=sha256:dd723dc0e39c8a7bf4f0a22bf59df1c2eaf76298c7d777e5feb502654ae7bbe1

Observation 0a37d858-049f-4c28-ad9d-d3eba83c208b · inbound

Lifelong Safety Alignment for Language Models cites this paper.

Lifelong Safety Alignment for Language Models CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:00:07.477311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:00:07.477311Z digest=sha256:5e85ce9e48d89ca1696c98653ca2763b149339aff302b84bb1425c5ecd82fefa

Observation b24cd802-df9b-4580-8ccb-2f148221cb3a · inbound

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models cites this paper.

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T12:34:34.930392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:34:34.930392Z digest=sha256:57e7d756f2011dacad628e3a801ae7c18153239625a2c0c1a01421e4f4f87634

Observation c0c2182a-f26f-4c40-bf7f-b3bcf6a1a0da · inbound

InfoFlood: Jailbreaking Large Language Models with Information Overload cites this paper.

InfoFlood: Jailbreaking Large Language Models with Information Overload CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T01:02:30.366652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T01:02:30.366652Z digest=sha256:a0858dddbf144cfa51853a24486b4265d166d4e0c9bd1d00868173c361dade2e

Observation f0d95b78-9177-491c-939e-e1bb6cbe1cda · inbound

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs cites this paper.

RedCoder: Automated Multi-Turn Red Teaming for Code LLMs CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:44.795778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:00:44.795778Z digest=sha256:39464d51d62a240b5789239da243b99a15a922d3806bef7b3e1b61d43d532dc4

Observation 4996865d-87dd-432e-bb2b-4d92ae4f1f62 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:40.641624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:40.641624Z digest=sha256:10f389265c4c8e42f3e2e4f6e1de7b99747d7a47d4f153370c2a23153c470fa5

Observation cb1b8fd8-a396-4c50-8c2c-42e2b2672dbc · inbound

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs cites this paper.

GUARD: Guideline Upholding Test through Adaptive Role-play and Jailbreak Diagnostics for LLMs CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-18T21:36:52.485500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T21:34:51.665401Z digest=sha256:56ebf38215d7abf9bb6f7ba51a1321075376680c59c16fa074d71d704fecf7c4

Observation 4d54362a-aa45-41e1-9235-365052df4c08 · inbound

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks cites this paper.

Breaking the Code: Security Assessment of AI Code Agents Through Systematic Jailbreaking Attacks CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T13:00:07.066550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:00:07.066550Z digest=sha256:6edb39f3487598385681fc2f7eca2f192ff54d48699b12b980c8e1330681933f

Observation a51fb20c-9a30-4851-a2e9-1c5b26681039 · inbound

SafeRedirect: Defeating Internal Safety Collapse via Task-Completion Redirection in Frontier LLMs cites this paper.

SafeRedirect: Defeating Internal Safety Collapse via Task-Completion Redirection in Frontier LLMs CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:29:47.001236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T00:27:30.373174Z digest=sha256:4c15cd39703c5a61cfc070183d62026e79ba17132de056b4f9843a7889986452

Observation 6796fa97-3436-4e47-a514-19e08d99d271 · inbound

Jailbreaking Frontier Foundation Models Through Intention Deception cites this paper.

Jailbreaking Frontier Foundation Models Through Intention Deception CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:11:13.873128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T03:17:51.039062Z digest=sha256:ff82e55490d3ed660da9c49a1b52a89460b3f5e77885ac977dac015b011ffa51

Observation 59738885-9cdd-4ab7-bd73-aff76588b9b8 · inbound

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks cites this paper.

Hybrid LLM-Augmented Reinforcement Learning Agents for Complex Sequential Decision Tasks CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T17:52:44.629599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T17:52:44.629599Z digest=sha256:31c8a148bb8a1083a8a5b3728097426e15f630b50ee2e34f5988614430aa19f1