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Paper Citation Record · LEDGER

SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.05498.

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

pith.paper-citation-record.v1
2406.05498 v3

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 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:19.410058Z

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 f42672d4-44ee-403e-817e-aa5a7895c134 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 103

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:33.945353Z

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=2026-05-23T04:39:04.591722Z digest=sha256:64dc82464b0bb00fbdc2c5ef74c7c4af5a04b8e760254fb4bc50fab00a73849c

Observation 2f2f63a4-49f1-43e1-8c68-9fd9d40efb62 · inbound

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models cites this paper.

Reasoning as a Resource: Optimizing Fast and Slow Thinking in Code Generation Models SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:19.410058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:19.410058Z digest=sha256:50fbaa7831f93a3a870b9bc728afbbc276db6a877bd6bca138a27e5e6bc8c27b

Observation a0f85fb0-18e7-4f1b-9981-7406b00454ee · inbound

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection cites this paper.

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-05T22:24:23.447796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:24:23.447796Z digest=sha256:ec5d44256ed801b23cb15b08113af6a09caed99e7c7b1c4f730e2cf592a64fab

Observation 7925cfc0-3bef-4b01-b468-b85fb1a9cd24 · 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 SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 194

Resolution
unresolved
no resolver link, observed 2026-08-04T09:25:57.146324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:25:57.146324Z digest=sha256:4a7585d44697f4a7f4fa277c0e8f794994a806ff71c10f5355528c0aa3f9e397

Observation 047489c8-94ce-45bd-bce0-07e63988878b · inbound

Stop Testing Attacks, Start Diagnosing Defenses: The Four-Checkpoint Framework Reveals Where LLM Safety Breaks cites this paper.

Stop Testing Attacks, Start Diagnosing Defenses: The Four-Checkpoint Framework Reveals Where LLM Safety Breaks SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T02:53:07.214574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:53:07.214574Z digest=sha256:fcdf0b07c9d5db667b41038530bcb9c29220818143a258b153cf88925c9cde08

Observation 4845e5bd-ab12-4136-b4e0-d221c1ba25e3 · inbound

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection cites this paper.

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:00:22.316209Z

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=2026-05-10T04:42:33.450658Z digest=sha256:684a74e2fc9d41c2edad7d04996b03a30aa43c10412cf4ddf3d0ee1fb8e3dea7

Observation 9dba36de-77fb-4745-9851-63c6a8a89939 · inbound

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection cites this paper.

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:53:53.045412Z

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=2026-05-21T00:51:22.907932Z digest=sha256:f3fdbac1a32a016a30a51c6fa4f13e788b9231e09d33dcb2f74ec71ff960c808

Observation c24b4b8f-2f9d-4f88-b1e1-90da17466a16 · inbound

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection cites this paper.

Beyond Pattern Matching: Seven Cross-Domain Techniques for Prompt Injection Detection SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T15:56:48.853457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:56:48.853457Z digest=sha256:468cf0f9af580905fd4c610069a519b40910ce6305c04481179b146fb5d8e705

Observation 9ff7980e-5490-4c06-ae9f-be3ae0b29d91 · inbound

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring cites this paper.

The Art of the Jailbreak: Formulating Jailbreak Attacks for LLM Security Beyond Binary Scoring SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:46:18.562727Z

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=2026-05-12T02:42:08.565972Z digest=sha256:8792c9da79ccb671f32b48f595fecfe69f37ca747fdaaa6d89246651c10ddcf4

Observation ad4c8efb-df05-495e-95df-7533c12d51c3 · inbound

Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety cites this paper.

Cognitive Firewall: A Proactive, Zero-Trust, Multi-Gate Framework for LLM Safety SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:38:54.915977Z

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=2026-07-03T20:38:16.610310Z digest=sha256:cf03287e3ab4e255759ca889424d779c8201a788e6b4d6b0c1191554ec7ea5ad