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Paper Citation Record · LEDGER

Spectral Neural Networks: Approximation Theory and Optimization Landscape

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.00729.

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

pith.paper-citation-record.v1
2310.00729 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:52.317574Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:46:32.783219Z

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 293775c4-0404-4ed4-92f0-7fdc6995215d · inbound

Minimax Rates for the Estimation of Eigenpairs of Weighted Laplace-Beltrami Operators on Manifolds cites this paper.

Minimax Rates for the Estimation of Eigenpairs of Weighted Laplace-Beltrami Operators on Manifolds Spectral Neural Networks: Approximation Theory and Optimization Landscape

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T12:21:52.317574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:52.317574Z digest=sha256:724c296fc75d5934649a590b492c96285941945c4a8b4db05008e07d9b583d0f

Observation 75749ce2-cfaf-412c-98c8-91fdc9d5ff6d · inbound

Quantifying Structure in CLIP Embeddings: A Statistical Framework for Concept Interpretation cites this paper.

Quantifying Structure in CLIP Embeddings: A Statistical Framework for Concept Interpretation Spectral Neural Networks: Approximation Theory and Optimization Landscape

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:46:32.790705Z

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.

source=pdf_text observed=2026-08-07T00:46:32.623379Z digest=sha256:a1b4f027da1ba213eba85876065c7d7abb613dc293f5db1a1230f0db28c3c7f0