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Paper Citation Record · LEDGER

Random Features Hopfield Networks generalize retrieval to previously unseen examples

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.05658.

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

pith.paper-citation-record.v1
2407.05658 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:44.392018Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:41:44.783118Z

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 75a98f0c-c3f9-4295-8e14-60dffda83bbf · inbound

Hopfield Networks as Models of Emergent Function in Biology cites this paper.

Hopfield Networks as Models of Emergent Function in Biology Random Features Hopfield Networks generalize retrieval to previously unseen examples

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:41:44.786583Z

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=2026-08-07T00:41:44.392018Z digest=sha256:33f270f29dfea19629378655b137741353acd9ad943fec1937e578f747b15009

Observation 2158145a-4100-437a-84d2-47ac644273e5 · inbound

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits cites this paper.

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits Random Features Hopfield Networks generalize retrieval to previously unseen examples

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-03T16:18:37.633196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:18:37.633196Z digest=sha256:d667726b401b15e90f33e803d6dec28a8b6a4f618800d7453416ca72cfebff38

Observation 9cc7236a-3bc7-4d67-a936-e0eac522e20e · inbound

Exponential Capacity in Multilayer Hetero-Associative Neural Networks cites this paper.

Exponential Capacity in Multilayer Hetero-Associative Neural Networks Random Features Hopfield Networks generalize retrieval to previously unseen examples

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T04:53:57.718581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:53:57.718581Z digest=sha256:51c6d87d1401956040e2f06c0dae36cbf86164606ebd320fc0eded414f940551