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Paper Citation Record · LEDGER

ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.18111.

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

pith.paper-citation-record.v1
2405.18111 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:15:48.816711Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:05:22.886486Z

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 94337f36-ae35-4de6-9ad1-7e7532814868 · inbound

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval cites this paper.

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T15:15:48.816711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:15:48.816711Z digest=sha256:ae489786675a5bbfa12a7bee3efc7f29feec2f03af155066cba5a33603a25d76

Observation e89b56f0-f66f-4bbc-8ce0-9d2d917c62a8 · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:05:22.961845Z

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.

source=pdf_text observed=2026-08-07T14:05:17.830397Z digest=sha256:0dd5bf7b078b3024f397ec965b4d511f804c68325572a64fc702c6ee6d2b9a3d