Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DAWN: Dynamic Adversarial Watermarking of Neural Networks
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1906.00830.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:30:13.907273Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:27:29.617850Z
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 6dd11fa6-cf36-4988-a97b-05bf35229274 · inbound
SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption cites this paper.
SECNEURON: Reliable and Flexible Abuse Control in Local LLMs via Hybrid Neuron Encryption DAWN: Dynamic Adversarial Watermarking of Neural Networks
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:30:13.907273Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb92d556-e1bd-46f8-9b87-6f35f5172df3 · inbound
Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models cites this paper.
Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models DAWN: Dynamic Adversarial Watermarking of Neural Networks
Reference 100
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:27:29.619197Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9e0e84c0-2057-425e-9d07-f109328e0cf4 · inbound
Data Provenance for Image Auto-Regressive Generation cites this paper.
Data Provenance for Image Auto-Regressive Generation DAWN: Dynamic Adversarial Watermarking of Neural Networks
Reference 79
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T10:34:36.609592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.