Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Training verified learners with learned verifiers
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.10265.
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 2026-08-07T00:23:51.093805Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T19:51:09.669384Z
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 1a917d0c-7c5e-40de-b6b2-edd332b8c80f · inbound
TriGuard: Testing Model Safety with Attribution Entropy, Verification, and Drift cites this paper.
TriGuard: Testing Model Safety with Attribution Entropy, Verification, and Drift Training verified learners with learned verifiers
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:51.093805Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0fbb1bb7-3a4d-4382-9b6f-3b21fd4bd7a8 · inbound
Learning to Optimize by Differentiable Programming cites this paper.
Learning to Optimize by Differentiable Programming Training verified learners with learned verifiers
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T08:39:32.435146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f2289cf-6b31-4db1-8f69-73476d784bef · inbound
Relaxation-Informed Training of Neural Network Surrogate Models cites this paper.
Relaxation-Informed Training of Neural Network Surrogate Models Training verified learners with learned verifiers
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T22:48:22.632767Z
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.