Paper Citation Record · LEDGER

Automated Progressive Red Teaming

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.03876.

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

pith.paper-citation-record.v1
2407.03876 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:17:55.228562Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:50:11.184853Z

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 9e9e25be-5604-4c3b-8bed-30cc30a6116c · inbound

Automated Capability Discovery via Foundation Model Self-Exploration cites this paper.

Automated Capability Discovery via Foundation Model Self-Exploration Automated Progressive Red Teaming

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T12:17:55.228562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24a77be3-05a0-40e5-b279-3eb18df96b6f · inbound

Adversarial Preference Learning for Robust LLM Alignment cites this paper.

Adversarial Preference Learning for Robust LLM Alignment Automated Progressive Red Teaming

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:21.560832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36f81cd8-a2af-4bc7-9036-38570bad6593 · inbound

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection cites this paper.

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection Automated Progressive Red Teaming

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T22:24:23.374081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4fa994-874a-496d-a50a-920b09032b18 · inbound

Adaptive Instruction Composition for Automated LLM Red-Teaming cites this paper.

Adaptive Instruction Composition for Automated LLM Red-Teaming Automated Progressive Red Teaming

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:06:03.778336Z

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 43d71f7f-a3e3-41f4-be3c-68f9c534402e · inbound

APT-Agent: Automated Penetration Testing using Large Language Models cites this paper.

APT-Agent: Automated Penetration Testing using Large Language Models Automated Progressive Red Teaming

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T00:14:04.068869Z

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 5e358ffd-065c-499f-b56f-7f8f4721de0b · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Automated Progressive Red Teaming

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:50:11.186561Z

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 dd1f1c98-ecc3-4abc-b69d-a833a7ec89c6 · inbound

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation cites this paper.

A Red Teaming Framework for Large Language Models: A Case Study on Faithfulness Evaluation Automated Progressive Red Teaming

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T10:16:42.365220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.