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Paper Citation Record · LEDGER

Linearly-Recurrent Autoencoder Networks for Learning Dynamics

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1712.01378.

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

pith.paper-citation-record.v1
1712.01378 v2

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 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:15:50.996616Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-16T07:32:31.349740Z

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 35acc3ad-73b9-4728-828a-b677dfbe0d17 · inbound

Data-driven discovery of dynamical models in biology cites this paper.

Data-driven discovery of dynamical models in biology Linearly-Recurrent Autoencoder Networks for Learning Dynamics

Reference 193

Resolution
unresolved
no resolver link, observed 2026-08-04T23:15:50.996616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:15:50.996616Z digest=sha256:4f62515b5dcf183ba91d91776770aeff81ad30e48f6330e6d638a7627b278b00

Observation 2181608a-01c9-410b-96cc-0b02e96819e9 · inbound

Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models cites this paper.

Reduced-Order Surrogates for Forced Flexible Mesh Coastal-Ocean Models Linearly-Recurrent Autoencoder Networks for Learning Dynamics

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-05-16T07:32:31.351457Z

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=2026-05-16T07:31:19.400787Z digest=sha256:8d2499d1af8c862ea1e44da285ed5284f02055f82739a188beaecc2566996bc8

Observation cb4ef4f2-6288-406a-a41e-33314e114993 · inbound

A Theoretical Framework for the Coupling of Macroscale-Nanoscale Mechanochemical Phenomena in Condensed Matter cites this paper.

A Theoretical Framework for the Coupling of Macroscale-Nanoscale Mechanochemical Phenomena in Condensed Matter Linearly-Recurrent Autoencoder Networks for Learning Dynamics

Reference 127

Resolution
unresolved
no resolver link, observed 2026-08-01T10:33:32.727561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:33:32.727561Z digest=sha256:6f4098337532fb527ef9e1569aa5b66b6aff4ce56a192e0a941c8afe61cf9e42