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Paper Citation Record · LEDGER

Intention Analysis Makes LLMs A Good Jailbreak Defender

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2401.06561.

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

pith.paper-citation-record.v1
2401.06561 v4

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 2026-08-10T06:31:04.303077+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:12:04.826574Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:49:42.661881Z

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 26d96bb1-0964-4d58-9596-db6cc86c1746 · inbound

Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 113

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:20:44.482569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T02:20:44.368219Z digest=sha256:d1abd271556069ab1fb2fb0816ac5e36f11f1d13b45923943ceb8b8733fa79fa

Observation 67b2e727-6d7f-4a5d-aad4-97c6220adad5 · inbound

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models cites this paper.

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T00:12:04.826574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T00:12:04.826574Z digest=sha256:1194b5872efd5be8dde2893b8ba38dac29b6373d26f2eab22b77a74fa0a9515f

Observation 450b8094-e85b-4522-8286-c6aca43d04d7 · inbound

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking cites this paper.

The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward Hacking Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-09T20:34:01.367239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T20:34:01.367239Z digest=sha256:c7034b32a3211ef94045175365942b4a25bb9653141266e1ef3a065ce73341dd

Observation 92aed184-cfab-427e-8fce-5e874fc9647e · inbound

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning cites this paper.

Beyond Surface-Level Detection: Towards Cognitive-Driven Defense Against Jailbreak Attacks via Meta-Operations Reasoning Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 194

Resolution
unresolved
no resolver link, observed 2026-08-06T04:47:25.668845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T04:47:25.668845Z digest=sha256:6a57e254cb634039360f5cca6d3fb184ee1b07f073f0c82d8324ea5dc576bdb1

Observation 30fcbd56-952b-4cb9-b339-a5e4c64116e3 · inbound

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments cites this paper.

ReasoningGuard: Safeguarding Large Reasoning Models with Inference-time Safety Aha Moments Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-19T01:02:54.732991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T01:02:07.088724Z digest=sha256:27a03dee3353413f078889405df56f0e229e836d0105f1503b1109b8c7184c01

Observation d25d9615-8e42-4439-a83e-8e2fb962d21f · 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 Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 236

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:58.334337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:58.334337Z digest=sha256:35e44032fd2081739b591602684dec45c7ee3907ae9933cecc6d30dbb2490774

Observation 9e431276-2da6-4f1d-a391-df46a9ec04c3 · inbound

Beyond Context: Large Language Models' Failure to Grasp Users' Intent cites this paper.

Beyond Context: Large Language Models' Failure to Grasp Users' Intent Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-16T20:11:13.568587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T20:09:25.827452Z digest=sha256:de6e72a64584f4d71df47b2e0be3379817f1489102477d5810ee2376cd7e7dd4

Observation a79bab24-dd6a-49b5-ae0c-ce9887ef7d78 · inbound

Reasoning Structure Matters for Safety Alignment of Reasoning Models cites this paper.

Reasoning Structure Matters for Safety Alignment of Reasoning Models Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:56:04.133189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T02:36:57.093584Z digest=sha256:29c5fba6b545a828bb0a55502428a913b21d9adfa599579874d38fd8f2d950df

Observation cf241f4c-ed6f-452e-a9eb-b1bc4dc03358 · inbound

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning cites this paper.

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:26:29.192339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T06:12:37.845017Z digest=sha256:6741ecd017acc7172ed4f50de61e60c97bd9fc3bfaf768d05a1027204c9aa928

Observation 189a7923-0a41-4483-96b4-d2d9afc73e86 · inbound

Ellipsoid Control: A White-list Jailbreak Defense via Benign Latent Modeling cites this paper.

Ellipsoid Control: A White-list Jailbreak Defense via Benign Latent Modeling Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:14:40.769734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T13:10:44.728498Z digest=sha256:0431dae43b9969668e75ee02bdf1118b1cc088039cf5db600ce91c5f18724977

Observation b859a4bb-060c-4128-830f-98a1541d33be · inbound

Grounded Scaling: Why Agentic AI Needs Deterministic Environments cites this paper.

Grounded Scaling: Why Agentic AI Needs Deterministic Environments Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:49:42.663653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T10:51:34.720931Z digest=sha256:87e7d1d1aebf5d6cc9e480db7d881d5ee2b90f634cb5e4e2611d17bdc0ddfa58

Observation eb2b5ed2-554b-4b60-913f-271f13795738 · inbound

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs cites this paper.

When LLM Defenses Backfire: Characterizing Safety, Performance, and Cost Trade-offs Intention Analysis Makes LLMs A Good Jailbreak Defender

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-31T16:06:06.522729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T16:06:06.522729Z digest=sha256:974c1bb92f4c94293cd370893044d9d40794179f45b847d61b2da0b3113f6b35