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Paper Citation Record · LEDGER

Memory capacity of neural network models

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2108.07839.

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

pith.paper-citation-record.v1
2108.07839 v2

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 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:16:42.091423Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:14:32.592169Z

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 78422136-1689-43a4-9df0-7aa0d3f578e6 · inbound

Causal Spike Timing Dependent Plasticity Prevents Assembly Fusion in Recurrent Networks cites this paper.

Causal Spike Timing Dependent Plasticity Prevents Assembly Fusion in Recurrent Networks Memory capacity of neural network models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T20:16:42.091423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:16:42.091423Z digest=sha256:30723c99eb27e680240c6c7cc2003c7b868f85518440058b4553b1317213a696

Observation 7f8edb00-2268-479c-b170-f9e944b3ce1b · inbound

Training oscillator Ising machines to assign the dynamic stability of their equilibrium points cites this paper.

Training oscillator Ising machines to assign the dynamic stability of their equilibrium points Memory capacity of neural network models

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-08-06T16:14:32.598006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-06T16:14:32.508270Z digest=sha256:1ab6424fdac3e1d3e32dbe348b06936e40f52a300ac7ad868c967c4617ad42be