Pith. sign in

Paper Citation Record · LEDGER

High-order Differentiable Autoencoder for Nonlinear Model Reduction

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2102.11026.

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

pith.paper-citation-record.v1
2102.11026 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:02:51.364910Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:23:14.957305Z

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 2d7667d8-235f-4784-838b-5bc1dde3bb1d · inbound

Precise Gradient Discontinuities in Neural Fields for Subspace Physics cites this paper.

Precise Gradient Discontinuities in Neural Fields for Subspace Physics High-order Differentiable Autoencoder for Nonlinear Model Reduction

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T14:02:51.364910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:51.364910Z digest=sha256:306a5620807e2e3083660f0fee14124e291df85ac576adb7cc85ae38d284b6d7

Observation 2af5a4e0-83cd-45f0-9a5e-5c739a0a19f3 · inbound

NeuROK: Generative 4D Neural Object Kinematics cites this paper.

NeuROK: Generative 4D Neural Object Kinematics High-order Differentiable Autoencoder for Nonlinear Model Reduction

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:23:14.958730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T08:20:39.824430Z digest=sha256:905df8d7346707b2b8f0778df410c6a26549b7d1ef8b9f4f0093e14d6745c191