Paper Citation Record · LEDGER

Attention Tracker: Detecting Prompt Injection Attacks in LLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.00348.

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

pith.paper-citation-record.v1
2411.00348 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:10.402453Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T11:32:17.365821Z

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 5c9caa73-c550-4fb1-b7d7-82c0db51c642 · inbound

A Critical Evaluation of Defenses against Prompt Injection Attacks cites this paper.

A Critical Evaluation of Defenses against Prompt Injection Attacks Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:36:10.402453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4202bd62-c2d9-4d7b-beb3-a6ac69f92f39 · inbound

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems cites this paper.

To trust or not to trust: Attention-based Trust Management for LLM Multi-Agent Systems Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:32:17.369840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d136625b-8bd1-4eca-bba9-5c2b2a346ec9 · inbound

PromptArmor: Simple yet Effective Prompt Injection Defenses cites this paper.

PromptArmor: Simple yet Effective Prompt Injection Defenses Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T15:42:00.939667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 199f599f-cb57-4f3f-a049-4b9c0a226e6f · 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 Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:19.348770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 248afb0b-0ca2-471d-abe0-9de54cbc5646 · inbound

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors cites this paper.

"Your AI, My Shell": Demystifying Prompt Injection Attacks on Agentic AI Coding Editors Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:21:23.911602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 00e475aa-87d6-4d9f-965e-fd4c1cf38d61 · inbound

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges cites this paper.

Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 257

Resolution: verified exact; arxiv_id, observed 2026-05-18T03:42:22.128264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 912f9482-4e2b-4461-a64e-b36e6e79c930 · inbound

RouteGuard: Internal-Signal Detection of Skill Poisoning in LLM Agents cites this paper.

RouteGuard: Internal-Signal Detection of Skill Poisoning in LLM Agents Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:36:14.821338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 95298756-5175-4b61-906e-358c289ec709 · inbound

CrackedPDFs: A Controlled Benchmark for Hidden Prompt Injection in PDFs cites this paper.

CrackedPDFs: A Controlled Benchmark for Hidden Prompt Injection in PDFs Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T08:55:49.080193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd443f65-e50b-4d29-a4f1-52610b00f23f · inbound

CrackedPDFs: A Controlled Benchmark for Hidden Prompt Injection in PDFs cites this paper.

CrackedPDFs: A Controlled Benchmark for Hidden Prompt Injection in PDFs Attention Tracker: Detecting Prompt Injection Attacks in LLMs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T04:34:33.174989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.