Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2507.22037.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T19:19:42.748573Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T19:19:42.862780Z
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 8d013345-ac84-445d-9291-df68f141e629 · inbound
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving cites this paper.
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:19:42.866796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d7297b50-0c44-499a-8b65-3185c59deaa9 · inbound
FedNSAM:Consistency of Local and Global Flatness for Federated Learning cites this paper.
FedNSAM:Consistency of Local and Global Flatness for Federated Learning Secure Tug-of-War (SecTOW): Iterative Defense-Attack Training with Reinforcement Learning for Multimodal Model Security
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T18:46:29.519770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.