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Paper Citation Record · LEDGER

Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2111.01275.

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

pith.paper-citation-record.v1
2111.01275 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:29:18.875864Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0b1f3d12-b5d7-4e65-b1a9-6927b21f2eed · inbound

A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory cites this paper.

A flexible Bayesian non-parametric mixture model reveals multiple dependencies of swap errors in visual working memory Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T04:29:18.875864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:29:18.875864Z digest=sha256:c224bd155a7ca642e8c65682707491ea5ccf98de385a038a991f76a82aea54d4

Observation aa945f5b-0660-46a1-8d1b-bdde28baa9b8 · inbound

Dynamical Archetype Analysis: Autonomous Computation cites this paper.

Dynamical Archetype Analysis: Autonomous Computation Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T19:32:34.021590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:32:34.021590Z digest=sha256:58c5919db819a2094cd3605014c5856e8183b497285da0f2256abc56b0c33e95

Observation 8de3d8eb-a6c2-4fbc-813e-88aed25a328f · inbound

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks cites this paper.

Drift-Diffusion Matching: Embedding dynamics in latent manifolds of asymmetric neural networks Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-02T23:10:45.327157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:10:45.327157Z digest=sha256:8d6f5110c1fc8eb3674be86e9ac1c836e7b93c83b60f6ce15271a8a17538d0ef

Observation b03768de-06a1-486c-89de-aaa16c823a99 · inbound

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations cites this paper.

How Optimality Structures Sparse Dictionaries: A Theory for Understanding SAE Representations Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes

Reference 237

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:46:26.235280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T11:36:45.020411Z digest=sha256:9cccd0f746ee9e2189168d112edb87fbf0105313f54ebe862dfaf06f2eafa9c4

Observation c2c71573-3b0e-454d-9ce2-b40c71fe7356 · inbound

Modelling chronic stress as excitation-inhibition perturbation in recurrent working-memory networks cites this paper.

Modelling chronic stress as excitation-inhibition perturbation in recurrent working-memory networks Recurrent neural network models for working memory of continuous variables: activity manifolds, connectivity patterns, and dynamic codes

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T00:52:54.832536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T00:49:46.862333Z digest=sha256:6c6821fe2782b7484e1bc097dc19271108d360fa0cd7154403434812c1daf92e