Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.18111.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:07:49.538810Z
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 328ffc73-c94d-4f77-8891-b9148c2b7b78 · inbound
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models cites this paper.
Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:07:49.538810Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-17T06:30:58.91139+00:00.