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Paper Citation Record · LEDGER

Neural Eigenfunctions Are Structured Representation Learners

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.12637.

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

pith.paper-citation-record.v1
2210.12637 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:13:07.358091Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T09:26:08.791730Z

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 62bee6f9-a3d2-4486-8774-5b3fa029d270 · inbound

Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization cites this paper.

Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization Neural Eigenfunctions Are Structured Representation Learners

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-07-09T09:26:08.793736Z

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.

source=arxiv_source observed=2026-07-09T09:23:58.321975Z digest=sha256:01f2145ddb74bf1da1c59f45e8116eded91d26750ff0b46b3831641cad25611b

Observation 122f10de-f75d-420f-9c9d-27ea96f27708 · inbound

Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization cites this paper.

Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization Neural Eigenfunctions Are Structured Representation Learners

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-02T08:13:07.358091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:13:07.358091Z digest=sha256:9bcb0dd3df87fa75cb72d84406fdf5ee07e929eca5a9445b798825d4758f7eb6