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Paper Citation Record · LEDGER

From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2407.02855.

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

pith.paper-citation-record.v1
2407.02855 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:15:45.013448Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f65bae9-4b97-4834-8339-ca1575789c22 · inbound

MetaSC: Test-Time Safety Specification Optimization for Language Models cites this paper.

MetaSC: Test-Time Safety Specification Optimization for Language Models From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-08T11:15:45.013448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:15:45.013448Z digest=sha256:4a126500c968dec37f25839b01960d5152e3cfc556fe2d0283ea73860a6579bc

Observation 11266865-d758-40a9-88c7-8bf0422d25b2 · inbound

DUSK: Do Not Unlearn Shared Knowledge cites this paper.

DUSK: Do Not Unlearn Shared Knowledge From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:25.491345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:25.491345Z digest=sha256:2414d52a48b43d46176b31cfcd555de5f80fee2c52418a55fdce10eb80b39a34

Observation 148b9c6e-0732-4cc4-a47e-db6afc3f696b · inbound

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration cites this paper.

VSCBench: Bridging the Gap in Vision-Language Model Safety Calibration From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T14:13:13.285027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:13:13.285027Z digest=sha256:9e738caa74fbf8acd04188862e5faef7caacb4ffed6525618e3aff1e7fefccc4

Observation 78d5efb2-d9ce-4458-aec5-744b2da74c5e · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:56.833052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:56.833052Z digest=sha256:bbea6993a15fe512a1a4c148b95d2f5aecacb11c83d4456175430fc69d99f6ca

Observation b99a7c5c-58de-47af-bb93-25787aeaa3e4 · inbound

SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks cites this paper.

SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-05T18:05:32.184992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T18:05:32.184992Z digest=sha256:4af08215c218e6cecf9cb12f08d72152d375af8ab61b5db99947e474e17e957a

Observation f65c28b8-65bc-4d48-9c9b-dc7fc5c184d0 · inbound

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses cites this paper.

SoK: Systematizing LLM Prompt Security: Taxonomies, Datasets, and Unified Evaluation of Attacks and Defenses From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 235

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:58.398529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:58.398529Z digest=sha256:578eed2c15d4ed1674f619c36d96d71048947064ab1934f0d31d31a57b99916b

Observation 5ce4a3f0-05a7-4f1c-9a9f-95fc994b5100 · inbound

SoK: Robustness in Large Language Models against Jailbreak Attacks cites this paper.

SoK: Robustness in Large Language Models against Jailbreak Attacks From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 100

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:01:08.742732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T16:42:41.137808Z digest=sha256:5ac0770843483976e5a0543dd85ec7058ed451fd1482dc163bba8a6d78916feb

Observation dc9e784f-278c-46a2-aee0-57d2bedefa38 · inbound

Why Do Aligned LLMs Remain Jailbreakable: Refusal-Escape Directions, Operator-Level Sources, and Safety-Utility Trade-off cites this paper.

Why Do Aligned LLMs Remain Jailbreakable: Refusal-Escape Directions, Operator-Level Sources, and Safety-Utility Trade-off From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T01:46:14.951350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T01:36:41.651502Z digest=sha256:90dd1c0f4c6ead532f304a7e5d7d73592c3333a04f214deee511cfbb9ec30cdc

Observation 51e82d66-83b8-4012-8d80-0bcfdbf806dc · inbound

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories cites this paper.

Self-ReSET: Learning to Self-Recover from Unsafe Reasoning Trajectories From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 42

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:11:16.190505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T02:07:04.364417Z digest=sha256:164e95cf901b10af3f01ae5d9e1f050501e5454659d12bbdd096dccf712520d6

Observation 9ce7dad3-4cc1-47db-8270-3761744f736a · inbound

Adaptive Probe-based Steering for Robust LLM Jailbreaking cites this paper.

Adaptive Probe-based Steering for Robust LLM Jailbreaking From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-21T02:33:54.945047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T02:32:49.034790Z digest=sha256:8ae2bab0b58cbb7170f40022e282d249c613b8353cb8f311d528f0fc963b494e

Observation 7118479b-20c3-4bdb-9673-e2ba00a94c6f · inbound

Position: The Term "Machine Unlearning" Is Overused in LLMs cites this paper.

Position: The Term "Machine Unlearning" Is Overused in LLMs From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:25:44.891472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T23:21:28.103297Z digest=sha256:ae0d6a9455fbc8234281018fafc6458e97027591c3d7a9aa0cda00d63c7c21a5

Observation 48601139-73e1-473a-ad66-da94405e14d2 · inbound

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks cites this paper.

Stateful Cooperative Agents Safeguarding LLMs Against Evolving Multi-Turn Attacks From Theft to Bomb-Making: The Ripple Effect of Unlearning in Defending Against Jailbreak Attacks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T01:16:12.873272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:16:12.873272Z digest=sha256:7cc1d6045230c544139358612180a4a42feaeb981eb35b63bf4331115777b9c0