Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Planting Undetectable Backdoors in Machine Learning Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2204.06974.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:16:10.237019Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T22:05:06.185323Z
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 8c463425-7772-4b7f-a911-6cdc02f0fcfa · inbound
Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning cites this paper.
Fox in the Henhouse: Supply-Chain Backdoor Attacks Against Reinforcement Learning Planting Undetectable Backdoors in Machine Learning Models
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:16:10.237019Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f780a40c-c4e5-4078-aa4c-f3b20182ca73 · inbound
Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks cites this paper.
Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks Planting Undetectable Backdoors in Machine Learning Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T18:39:22.308029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c493d7dd-a3ab-42fa-9fa9-fdbc428b6245 · inbound
Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks cites this paper.
Backdoor Channels Hidden in Latent Space: Cryptographic Undetectability in Modern Neural Networks Planting Undetectable Backdoors in Machine Learning Models
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T22:05:06.186743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.