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Paper Citation Record · LEDGER

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.16192.

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

pith.paper-citation-record.v1
2402.16192 v2

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

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:16.431715Z

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

2
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 851cee9c-4b98-4b66-bf12-123aa26c98f5 · inbound

Jailbreaking Black Box Large Language Models in Twenty Queries cites this paper.

Jailbreaking Black Box Large Language Models in Twenty Queries Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:48:33.323477Z

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=2026-05-12T09:48:31.721745Z digest=sha256:609a5dfbb2277b55127953b3dcb918dc7d23616fa37841fc17ea765b1aff6e6b

Observation 658d527c-31f9-449c-a5a1-f82f5704d7a6 · inbound

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models cites this paper.

JailbreakBench: An Open Robustness Benchmark for Jailbreaking Large Language Models Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:08:05.612858Z

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=2026-05-15T06:08:05.386345Z digest=sha256:7b6e28c6c689399501660db496f43c9f3ba4edc60abea5a4b7877074ea304431

Observation 94aca1d0-4dc8-4c3f-9676-d7c0afe9b4a4 · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T02:20:44.676943Z

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=2026-05-15T02:20:44.368219Z digest=sha256:9778b2ca9353a9bda34cb017ab9751d3399e6faca2684f057cbcedec32334641

Observation 84c78bb9-f4ba-4775-9539-fe5041345449 · 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 Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:34.176759Z

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=sha256:297601e3d87b91e226a07c46d99659f9276a5897092741e9060ef70d2a072c34

Observation cd90a318-fbaa-4d84-af95-b6006dfb8448 · inbound

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs cites this paper.

One Model Transfer to All: On Robust Jailbreak Prompts Generation against LLMs Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:48:16.431715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:48:16.431715Z digest=sha256:89f13be809d6424de989aa997d49cbacd0744569b7273d448e8b90f818cc11f3

Observation 377b48aa-47e9-4eee-be41-0e4328e2ad8d · inbound

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression cites this paper.

SecurityLingua: Efficient Defense of LLM Jailbreak Attacks via Security-Aware Prompt Compression Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:13.884686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:13.884686Z digest=sha256:895202f706376babea4bf3be06c726ff0d1508ddf9e9bc063dc6fe86f6d799de

Observation 29918652-899f-4d11-bb5a-699dd97b0454 · 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 Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T01:02:54.825892Z

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=2026-05-19T01:02:07.088724Z digest=sha256:2330b69eb23bdbd9a7cd164f936dbae34285683662bbca2512e8aaa170b4c807

Observation d2cc6b0a-54a1-4be7-9671-c16798d25494 · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 142

Resolution
unresolved
no resolver link, observed 2026-08-04T17:46:19.358696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:46:19.358696Z digest=sha256:7339314b11e58ee2539c5513487d8395271576f15141d4a3786982385aed3249

Observation 41ae444c-8d08-4abf-8c2a-1c001310b466 · inbound

Towards Understanding the Robustness of Sparse Autoencoders cites this paper.

Towards Understanding the Robustness of Sparse Autoencoders Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:46:10.271963Z

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=2026-05-10T05:44:24.532548Z digest=sha256:4689219ba2800c23a1072affb1c1653888f3157545ff92bfb99d2822e0a1d1ec

Observation e956a31d-3298-4ea6-a5dc-fcbcff75ef51 · 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 Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:14:40.146333Z

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=2026-06-30T13:10:44.728498Z digest=sha256:609418b06074077ccd6490f75fd6e84ed21ce2ef93965f3be379396071a0bf5d

Observation 5539136f-d450-45c1-af33-59414cc9fa8d · inbound

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks cites this paper.

SlotGCG: Exploiting the Positional Vulnerability in LLMs for Jailbreak Attacks Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:26:59.336556Z

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=2026-06-28T01:16:07.252429Z digest=sha256:d6488f868e2269941c0a657d03d1ca8306180f29ce6b502893d7647641f48e3e