Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.05207.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:09:22.028644Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T05:45:06.771155Z
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 ee305966-a971-4f8d-ad98-71460dc5bc42 · inbound
Neural Network Verification is a Programming Language Challenge cites this paper.
Neural Network Verification is a Programming Language Challenge Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:09:22.028644Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 049e14a7-1381-42a5-9c31-f1ea28caefc0 · inbound
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T17:32:30.756116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation de1ff301-42b7-4dfd-8b34-13a59e9976fe · inbound
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Vehicle: Interfacing Neural Network Verifiers with Interactive Theorem Provers
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:45:06.774264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.