Paper Citation Record · LEDGER

Seismic Foundation Model (SFM): a new generation deep learning model in geophysics

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.02791.

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

pith.paper-citation-record.v1
2309.02791 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:20:11.086870Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

15
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 608ab870-4e16-446f-a9ea-7ee519f0afea · inbound

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion cites this paper.

Parameter Efficient Fine-Tuning for Deep Learning-Based Full-Waveform Inversion Seismic Foundation Model (SFM): a new generation deep learning model in geophysics

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T00:20:11.086870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c513252-a4c6-4d44-9389-f980807fb901 · inbound

A generative foundation model for an all-in-one seismic processing framework cites this paper.

A generative foundation model for an all-in-one seismic processing framework Seismic Foundation Model (SFM): a new generation deep learning model in geophysics

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-09T16:36:42.141893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502c2ed8-6b9e-46f4-938b-10974800da32 · inbound

AI models of unstable flow exhibit hallucination cites this paper.

AI models of unstable flow exhibit hallucination Seismic Foundation Model (SFM): a new generation deep learning model in geophysics

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:51:03.978377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 12c19e29-1e73-47ad-926c-3880b61d2973 · inbound

OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI cites this paper.

OpenSeisML: Open Large-Scale Real Seismic and well-log Dataset for Generative AI Seismic Foundation Model (SFM): a new generation deep learning model in geophysics

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-21T06:49:44.899997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.