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Paper Citation Record · LEDGER

SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.19960.

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

pith.paper-citation-record.v1
2502.19960 v2

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:50:45.933420Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:35:46.020308Z

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 c9d08f05-6999-40aa-8c7a-1cd38a3b498e · inbound

Towards End-to-End Earthquake Monitoring Using a Multitask Deep Learning Model cites this paper.

Towards End-to-End Earthquake Monitoring Using a Multitask Deep Learning Model SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:45.933420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:50:45.933420Z digest=sha256:5f213def6db878a236e29ea3f7970427c1a51685547ccb0d75e56a13b93cd463

Observation 47c7c0b2-cf36-4bce-8b04-3ca64907383b · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

Reference 242

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.389459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:bf8d7bf07d6d00e7b916cced8e502dd27cca9876a90950041d3a46ddb2c990a0

Observation 37c0bebc-333f-42ed-829e-cf1e74c54537 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

Reference 242

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.022103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:691fcd378b0acdc1f41a1ea669bc32f0d7ccc4c5a8b39df1442c85eb4d02c19b

Observation 0147e8c1-354e-4eff-bd3a-aad1c6bbdc6b · inbound

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding cites this paper.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding SeisMoLLM: Advancing Seismic Monitoring via Cross-modal Transfer with Pre-trained Large Language Model

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:23:59.930737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-06-29T22:22:53.215257Z digest=sha256:bbdc158e0ff0ed809cdbf32e1c5d69c53a37d87ae07af507e54d8882e00321e1