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Paper Citation Record · LEDGER

Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.11054.

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

pith.paper-citation-record.v1
2502.11054 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:32:03.417230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T19:00:30.447057Z

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 f0597f8d-a61b-4cd1-9ea5-8607c0390048 · inbound

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking cites this paper.

PRISM: Programmatic Reasoning with Image Sequence Manipulation for LVLM Jailbreaking Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:37:01.077330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-19T03:36:24.013477Z digest=sha256:9e7b12a3e5bb9d674c787f341388faaf98b63c8c6e3e6713a777f53d90dde7ca

Observation 70120f4d-7fc7-4ce0-8cd6-2dfdf4e47a02 · 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 Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-05T10:39:06.923243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:39:06.923243Z digest=sha256:1ed7071b36c1816d5ed26f2207771467429456b6cee5baf30c6c6104ffa94150

Observation e3744395-287a-4ddc-9401-cb4a808358bb · inbound

Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models cites this paper.

Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-05T05:29:20.764183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T05:29:20.764183Z digest=sha256:b5f1a44fd96047808ad02e68c1562bf8670da973a85ae9cba8aca7b6bab1576d

Observation 6192e4c4-7169-4b8a-a793-ee68d0708d74 · inbound

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? cites this paper.

Mask-GCG: Are All Tokens in Adversarial Suffixes Necessary for Jailbreak Attacks? Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T23:49:34.007406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:49:34.007406Z digest=sha256:50b721a97587307d3f3145c3cfc29f9fdb4b2ce6769ebf8f92eccf792c7b3065

Observation 0ae7e906-c352-40a3-8435-e4336dc3f1f2 · inbound

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents cites this paper.

SecureWebArena: A Holistic Security Evaluation Benchmark for LVLM-based Web Agents Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 59

Resolution
verified exact
arxiv_id, observed 2026-05-18T08:16:06.448868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-18T08:14:51.102085Z digest=sha256:994120032a9750a944250180daf308f91497d8ec83b5899d5e3ab50d5a72a638

Observation 212fcb51-1474-431f-ac30-ef30d680702d · inbound

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs cites this paper.

Evolve the Method, Not the Prompts: Evolutionary Synthesis of Jailbreak Attacks on LLMs Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-21T19:00:30.449178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-21T18:58:53.183734Z digest=sha256:97a8eb5a96138187515d597fd27e4e1751809fe2d49f5629b4ba646176f2677c

Observation 0dc9b91c-b678-49c9-9fde-92ef9ffee00a · inbound

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models cites this paper.

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-10T22:05:49.143728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T20:14:02.553313Z digest=sha256:ce43a90177484ed060dfe93c3c5d799b905c2ffc05e339e5360b22e0efb0e72c

Observation cc9f098e-a4ea-4d63-9b62-0369a862d744 · inbound

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems cites this paper.

The Salami Slicing Threat: Exploiting Cumulative Risks in LLM Systems Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:16:03.962259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T16:07:31.602378Z digest=sha256:e8d67a3cc6056e303efa3b1b43666a70200b4d742922b434d79707b58682dbb4

Observation 3f6b16fc-7795-46cb-89c8-ca554c8d2a9b · inbound

MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks cites this paper.

MT-JailBench: A Modular Benchmark for Understanding Multi-Turn Jailbreak Attacks Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:27:02.426264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T01:24:24.242731Z digest=sha256:9c77aa9cb0ae89ce8f1aea9c2605ddf0b16ebd4c5f2f6cf8b3e6620dfb8de90c

Observation ab8bfe1c-295d-4435-bdd2-caee2c1d7bf3 · inbound

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks cites this paper.

SoK: Intent-Oriented Systematization of Multi-Turn LLM Jailbreaks Reasoning-Augmented Conversation for Multi-Turn Jailbreak Attacks on Large Language Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-06T00:32:03.417230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:32:03.417230Z digest=sha256:97d661f06c6ec426fcd57fd56994ecb7aca8a642ad030c6b60aa6a4b40f68647