Paper Citation Record · LEDGER

Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2209.02128.

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

pith.paper-citation-record.v1
2209.02128 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:17:45.934346Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

14
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3b371387-9a4b-4daa-bf15-b41288df3b84 · inbound

Ignore Previous Prompt: Attack Techniques For Language Models cites this paper.

Ignore Previous Prompt: Attack Techniques For Language Models Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:59:31.513670Z

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.

Observation b09164d2-77c0-40e1-abe7-75189e1e4185 · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.365866Z

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.

Observation 400de984-0bc0-444f-b11c-c0fd607fec89 · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:08:36.051473Z

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.

Observation 5133694b-32a6-4655-9724-0916febd92b5 · inbound

We Can't Understand AI Using our Existing Vocabulary cites this paper.

We Can't Understand AI Using our Existing Vocabulary Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:45.934346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d69e912-7acc-42a2-9b0f-8509d1ed22e5 · inbound

Prompt Injection Attack to Tool Selection in LLM Agents cites this paper.

Prompt Injection Attack to Tool Selection in LLM Agents Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T17:08:29.093089Z

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.

Observation 855e88f4-4878-4a85-8dd6-6fccab50405a · inbound

When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation cites this paper.

When Harry Meets Superman: The Role of The Interlocutor in Persona-Based Dialogue Generation Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:30.932818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e22e7f76-32cd-4cb3-869f-3183830e0afa · inbound

Prompt Injection 2.0: Hybrid AI Threats cites this paper.

Prompt Injection 2.0: Hybrid AI Threats Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T16:34:03.088522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bafa7bb3-a8c0-48c3-884f-7ca91f77b74e · inbound

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training cites this paper.

PRM-Free Security Alignment of Large Models via Red Teaming and Adversarial Training Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T17:35:47.982288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91a560c7-7186-400c-9d30-87b807293a25 · inbound

AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption cites this paper.

AttnTrace: Contextual Attribution of Prompt Injection and Knowledge Corruption Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T00:36:56.393395Z

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.

Observation f6ce3dee-7837-4aa8-a3e7-531ae16abb05 · inbound

Understanding the Ability of LLMs to Handle Character-Level Perturbation cites this paper.

Understanding the Ability of LLMs to Handle Character-Level Perturbation Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T09:39:01.380118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56e31609-71b5-469c-889b-6f73139d5999 · inbound

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents cites this paper.

When Compression Becomes an Attack Surface: Black-Box Attacks on Prompt-Compressed LLM Agents Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T08:06:09.274751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9883fca-74ed-41df-ad2e-2ea9cc0eb131 · inbound

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels cites this paper.

Measuring the Security of Mobile LLM Agents under Adversarial Prompts from Untrusted Third-Party Channels Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T07:06:37.731914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e929543-4e48-476f-b833-dc77c494f57b · inbound

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption cites this paper.

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:16:28.274248Z

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.

Observation 0a69e0fd-be78-42c9-95cb-676c2fb79dae · inbound

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases cites this paper.

CleanBase: Detecting Malicious Documents in RAG Knowledge Databases Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:31:22.315397Z

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.

Observation 1a1da855-d24a-4493-88b8-c5d664d5a10c · inbound

A Cross-Modal Prompt Injection Attack against Large Vision-Language Models with Image-Only Perturbation cites this paper.

A Cross-Modal Prompt Injection Attack against Large Vision-Language Models with Image-Only Perturbation Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T17:23:36.828570Z

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.

Observation 702a6ae5-8464-4dc9-83a3-9c99b9aef69a · inbound

A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots cites this paper.

A Layered Security Framework Against Prompt Injection in RAG-Based Chatbots Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:09:22.505482Z

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.

Observation 2f0d4c74-f8ba-4420-9d4d-45d24f478537 · inbound

When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents cites this paper.

When Claws Remember but Do Not Tell: Stealthy Memory Injection in Persistent Personal Agents Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Reference 21

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T00:24:22.468806Z

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.