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Paper Citation Record · LEDGER

Scientific Machine Learning Seismology

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.18397.

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

pith.paper-citation-record.v1
2409.18397 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:16:22.254812Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:16:23.509693Z

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 899d8818-89fa-457a-af19-25ccb68938a5 · inbound

An effective physics-informed neural operator framework for predicting wavefields cites this paper.

An effective physics-informed neural operator framework for predicting wavefields Scientific Machine Learning Seismology

Reference 20

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T15:16:23.549938Z

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=arxiv_source observed=2026-08-06T15:16:22.254812Z digest=sha256:e2dad9ea9be646497176426fcf1692c7dfa186bd58e43f0bc76e61246576358b

Observation 8ebbb85c-9b05-4a5b-9673-8dd84d4eaaf4 · inbound

Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder cites this paper.

Uncertainty-aware damage identification in short-span bridges via physics-informed variational autoencoder Scientific Machine Learning Seismology

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-11T09:54:49.262236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T09:54:49.262236Z digest=sha256:b30db8874854029bf031f5bdb1998605f3ab0d4739b27717fd1ee581aebdeb16