Paper Citation Record · LEDGER

Adversarial Demonstration Attacks on Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2305.14950.

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

pith.paper-citation-record.v1
2305.14950 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:47.477351Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:34:02.693240Z

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 55ad73b1-0779-4644-b04c-ceed7face5f4 · inbound

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks cites this paper.

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Adversarial Demonstration Attacks on Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:11:00.991825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83147b51-94d3-44bd-abe2-bf4310e64b99 · inbound

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

Jailbreak Attacks and Defenses Against Large Language Models: A Survey Adversarial Demonstration Attacks on Large Language Models

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:20:44.857970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dad0650b-7048-41e5-996a-4eeb76b8ba21 · 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 Adversarial Demonstration Attacks on Large Language Models

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.806868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 79c82dfd-7f10-47e1-8629-a8e12b366645 · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Adversarial Demonstration Attacks on Large Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:02:44.363885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9aa203f8-8d1e-4b8a-9885-e70140f61ec9 · inbound

Exploring Explanations Improves the Robustness of In-Context Learning cites this paper.

Exploring Explanations Improves the Robustness of In-Context Learning Adversarial Demonstration Attacks on Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:31:47.477351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b09016f-1598-49f5-8296-9045b92df4b2 · inbound

SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models cites this paper.

SoK: A Comprehensive Security Analysis of Jailbreak Resilience in GPT and DeepSeek Models Adversarial Demonstration Attacks on Large Language Models

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-06T23:20:53.674318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 833b3936-1613-470b-8e76-90830b7e6893 · inbound

Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers cites this paper.

Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers Adversarial Demonstration Attacks on Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:46:51.696831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1005bcbf-d5d3-4f4b-aa65-4bb452d31ace · inbound

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models cites this paper.

Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models Adversarial Demonstration Attacks on Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T16:25:55.105777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 483a9df9-ca23-4303-8379-f09ce65a11fc · 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 Adversarial Demonstration Attacks on Large Language Models

Reference 188

Resolution: unresolved; no resolver link, observed 2026-08-04T09:25:56.424277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 752aaf42-dbe5-4ba0-a543-8ae1111d29d9 · inbound

A First Look at the Security Issues in the Model Context Protocol Ecosystem cites this paper.

A First Look at the Security Issues in the Model Context Protocol Ecosystem Adversarial Demonstration Attacks on Large Language Models

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:12:26.253881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c92672f-52ac-4e01-9ebf-04d539330d6f · inbound

Visual Persuasion: What Influences Decisions of Vision-Language Models? cites this paper.

Visual Persuasion: What Influences Decisions of Vision-Language Models? Adversarial Demonstration Attacks on Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T23:00:27.647205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0f5c8cd-e958-4035-9788-0d4d4a1c9e0c · inbound

From Text to DSL: Evaluating Grammar-Based Model Generation Using Open LLMs cites this paper.

From Text to DSL: Evaluating Grammar-Based Model Generation Using Open LLMs Adversarial Demonstration Attacks on Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T16:43:34.788992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3bdc3e20-c11e-4bd2-b641-c74c563a8f4e · inbound

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning cites this paper.

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning Adversarial Demonstration Attacks on Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:34:02.696007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.