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Paper Citation Record · LEDGER

Reduced-order modeling for parameterized PDEs via implicit neural representations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.16410.

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

pith.paper-citation-record.v1
2311.16410 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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:19:47.341582Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:40:03.402590Z

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 97bbe41c-9e78-4842-b94b-9c64dd9d16a4 · inbound

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs cites this paper.

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Reduced-order modeling for parameterized PDEs via implicit neural representations

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-21T11:40:03.404608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T11:37:48.433545Z digest=sha256:4148fd17e9c5f4020e30747b3b50e09369b9471bec858e153c26c51382c71e8e

Observation 0d9989eb-f0f0-4812-9ffb-20accbc5826b · inbound

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs cites this paper.

Disentangled Latent Dynamics Manifold Fusion for Solving Parameterized PDEs Reduced-order modeling for parameterized PDEs via implicit neural representations

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T18:19:47.341582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:19:47.341582Z digest=sha256:c974a0e6c60c1dd94f1d689648899cf8db87c62dda5efc6fece8bff29fcbbbdd

Observation 7af6343d-13c1-4b97-a121-4032f4b48868 · inbound

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws cites this paper.

Structure-preserving variational neural fields: Uncertainty-quantified reduced-order modeling of nonlinear conservation laws Reduced-order modeling for parameterized PDEs via implicit neural representations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-14T08:02:00.306457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:02:00.306457Z digest=sha256:4f35fa632c3d896cbff1d1ec1348a192b40c2976f04544ee396a4da2620dbad3