Paper Citation Record · LEDGER

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents

As of 19 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2606.17467.

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

pith.paper-citation-record.v1
2606.17467 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:07:08.044674Z

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 592f3ea7-fc44-422d-8172-2daa9d727585 · outbound

This paper cites Baseline Defenses for Adversarial Attacks Against Aligned Language Models.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents Baseline Defenses for Adversarial Attacks Against Aligned Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:07.657788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb272f13-dfd3-4b2c-8333-cbf71bb84b4c · outbound

This paper cites Preprint, arXiv:2310.12815.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents Preprint, arXiv:2310.12815

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:07.760381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31994e44-11ee-4eed-8214-a03018936177 · outbound

This paper cites Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents Blind Spots in the Guard: How Domain-Camouflaged Injection Attacks Evade Detection in Multi-Agent LLM Systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:07.881761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0dd43cb4-5c27-4514-89d9-bedc3a1febbf · outbound

This paper cites The Prompt Report: A Systematic Survey of Prompt Engineering Techniques.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents The Prompt Report: A Systematic Survey of Prompt Engineering Techniques

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:08.044674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538a620d-b81b-4d4c-b1c6-dd2469c8395a · outbound

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

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents Ignore Previous Prompt: Attack Techniques For Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:07.956789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e531fa75-a6fb-415f-8cf9-ae14824f03fb · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:07.582414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 317cc991-7106-429f-8973-67bdeb1617af · outbound

This paper cites Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:07.442032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e587a4f2-6137-49b9-add2-3647679d16e0 · outbound

This paper cites Preprint, arXiv:2510.08829.

PARSE: Provenance-Aware Retrieval Sanitization for Professional Domain LLM Agents Preprint, arXiv:2510.08829

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T11:07:07.283971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.