Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
When Deep Learning Meets Polyhedral Theory: A Survey
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.00241.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:52:03.953651Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T11:09:11.653819Z
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 690244c6-5575-4482-a4f7-8160c1af102d · inbound
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time cites this paper.
Time to Spike? Understanding the Representational Power of Spiking Neural Networks in Discrete Time When Deep Learning Meets Polyhedral Theory: A Survey
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:52:03.953651Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0dc9e99-2208-47ff-87d6-059ec96054e4 · inbound
Global optimization of graph acquisition functions for neural architecture search cites this paper.
Global optimization of graph acquisition functions for neural architecture search When Deep Learning Meets Polyhedral Theory: A Survey
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:48:05.036677Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69613b3c-2b20-4433-a9f6-f571771d4363 · inbound
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees cites this paper.
Conformal Mixed-Integer Constraint Learning with Feasibility Guarantees When Deep Learning Meets Polyhedral Theory: A Survey
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T11:09:11.767778Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.