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Paper Citation Record · LEDGER

Learning on a Razor's Edge: Identifiability and Singularity of Polynomial Neural Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.11846.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.11846 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T22:04:26.640228Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-09T22:04:26.750762Z

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 1350224c-316f-4c5b-96c3-4a14182ab998 · inbound

Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry cites this paper.

Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry Learning on a Razor's Edge: Identifiability and Singularity of Polynomial Neural Networks

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-08-09T22:04:26.755734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-09T22:04:26.640228Z digest=sha256:6bb691f2092e4e18328957281b7ba476c8c58ad8a604c6aa7315262eed770ad5

Observation b9c142b8-93e2-4a91-a0f5-70607f79f9c2 · inbound

Identifiable Equivariant Networks are Layerwise Equivariant cites this paper.

Identifiable Equivariant Networks are Layerwise Equivariant Learning on a Razor's Edge: Identifiability and Singularity of Polynomial Neural Networks

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T07:05:16.384856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T07:05:16.384856Z digest=sha256:7c73de01253e0ea4bd9c644ea39c4d38d723693d195af188cbf3ea3e84fc4dcb