Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.13871.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:42:26.440377Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T07:26:46.360305Z
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 9bdc718f-9265-4638-ba4d-bc1722bccd0f · inbound
Fully lifted \emph{blirp} interpolation -- a large deviation view cites this paper.
Fully lifted \emph{blirp} interpolation -- a large deviation view Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:39:35.398744Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3aebf9f7-d86d-48f2-9f7e-4bfdf91bbfd6 · inbound
A large deviation view of \emph{stationarized} fully lifted blirp interpolation cites this paper.
A large deviation view of \emph{stationarized} fully lifted blirp interpolation Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:39:19.895184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 691d88e5-88fc-47fd-b0d0-4843fa697194 · inbound
Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT cites this paper.
Rare dense solutions clusters in asymmetric binary perceptrons -- local entropy via fully lifted RDT Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:42:26.440377Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5448336-552e-4170-91f4-6774e3066094 · inbound
A CLuP algorithm to practically achieve $\sim 0.76$ SK--model ground state free energy cites this paper.
A CLuP algorithm to practically achieve $\sim 0.76$ SK--model ground state free energy Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:10:14.864246Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 419e3a9a-dca7-408f-a415-99238d12460e · inbound
Shortcomings and capacities of real-constrained neural networks in complex spaces cites this paper.
Shortcomings and capacities of real-constrained neural networks in complex spaces Typical and atypical solutions in non-convex neural networks with discrete and continuous weights
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:26:46.362022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.