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Paper Citation Record · LEDGER

PINNtomo: Seismic tomography using physics-informed neural networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.01588.

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

pith.paper-citation-record.v1
2104.01588 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:39.866993Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:56:15.143102Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
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  • 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 bd21abbd-e076-4fd9-9465-4a5918e3c5b6 · inbound

Three-dimensional crustal deformation analysis using physics-informed deep learning cites this paper.

Three-dimensional crustal deformation analysis using physics-informed deep learning PINNtomo: Seismic tomography using physics-informed neural networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:39.866993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:39.866993Z digest=sha256:7aad1bc4bb123f8e9e43a22258ea12db966ddf04fde6ab5816c7e404cbeb55e5

Observation e900334c-09d0-49b5-b7e5-7e66d369da9a · inbound

Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture cites this paper.

Accelerating physics-informed neural networks for full waveform inversion using a hybrid quantum-classical finite-basis architecture PINNtomo: Seismic tomography using physics-informed neural networks

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:15.144896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-28T16:13:21.979966Z digest=sha256:6b89cad00466aa182ea06d0dec48648d6016ef5d0c037966e11c9018577e8720