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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=sha256:96775bd13aa6bfe68af2f06e46c81a91e35eff0cf1a035afecfb21513a68b4b2

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=sha256:50b573753517314fa61e96c01148e8e295c9a3489caa31e852dafb87df2e6534

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=sha256:1887d934abbdb415ae0281cd93492139ee2761797c450450ea06227ffc03b42d

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=sha256:20f82113a52a3935009efd715c2d7842a3efb413c44a7e001036bcabe4d302c0

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:a6df323ec879fdabed9ccb4c7664b3ac021f3d31a3f75af991955d1d0b67718e

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=sha256:771ae14e7c7b416de5243567b183c86bcd61f8375b3f2a08f6f64f0330c34eb6

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=sha256:5edb4b79ce35feb98e17b204c15bd5efc6e17c277a8f6eefb364f6179a832e87

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:f13fc60f334a8c75744c75a897d3df78c0dee8db8f94df5393ae335cb1040afc

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=sha256:2826a645446fea8a125d335e5221ef8d6a5770c9a54e1645d2f87b29cdfa10d7

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:eea215fcddf4a0c9cccd119415c814a55e43c84f86cbbc7a6953291d3f44efec

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=sha256:8349e75f2bb9a0a717a71e7bdcc73492a64429112e6c9d797a187dd013c90121