Pith. sign in

Paper Citation Record · LEDGER

Neural Networks as Spin Models: From Glass to Hidden Order Through Training

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.06421.

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

pith.paper-citation-record.v1
2408.06421 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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:03:58.465135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:30:57.490708Z

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 52fd595b-0b62-49de-9006-30f438d3450f · inbound

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware cites this paper.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Neural Networks as Spin Models: From Glass to Hidden Order Through Training

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T13:03:58.465135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:03:58.465135Z digest=sha256:0e876968cfe6608af234ae9604ba2882049077f09d26e7a6b0958eba1edf9953

Observation ae105301-862a-4059-bc4e-7d1451f34390 · inbound

A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics cites this paper.

A Minimal Model of Representation Collapse: Frustration, Stop-Gradient, and Dynamics Neural Networks as Spin Models: From Glass to Hidden Order Through Training

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:30:57.494095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T16:36:05.941649Z digest=sha256:221fa2799844c4fcb6ede5b5073054955d262540c5b4bfcf8962279082e29d7a