Paper Citation Record · LEDGER

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding

As of 20 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2605.26320.

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

pith.paper-citation-record.v1
2605.26320 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T22:22:53.215257Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

verified exact6
verified fuzzy0
unresolved18
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93042950-5784-44f0-9e0c-21175669d0ae · outbound

This paper cites Generalist multimodal ai: A review of architectures, challenges and opportunities,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Generalist multimodal ai: A review of architectures, challenges and opportunities,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00729652-a29d-41e6-a935-58e39a069270 · outbound

This paper cites Seisbenchâ ˘AˇTa toolbox for machine learning in seismology,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Seisbenchâ ˘AˇTa toolbox for machine learning in seismology,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Observation 05b6a612-5de2-4194-ad6d-87f67ec5fbab · outbound

This paper cites Stanford earthquake dataset (stead): A global data set of seismic signals for ai,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Stanford earthquake dataset (stead): A global data set of seismic signals for ai,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Unavailable: canonical work link unavailable.

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

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

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

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Observation b2a76fec-2891-4ddc-8a0f-6b193a3f357e · outbound

This paper cites ShakeMap: Near real-time maps of earthquake shaking,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding ShakeMap: Near real-time maps of earthquake shaking,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

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Observation f7befa66-71f5-4084-9c8a-375f5e5370c3 · outbound

This paper cites Unified-io 2: Scaling au- toregressive multimodal models with vision language audio and action,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Unified-io 2: Scaling au- toregressive multimodal models with vision language audio and action,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 043e5342-89fe-4824-b2f5-cef53576b92e · outbound

This paper cites Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:23:59.913079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation edf9adb9-7abf-4bc6-97fa-2ef1b76f95c2 · outbound

This paper cites Instance–the italian seismic dataset for machine learning,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Instance–the italian seismic dataset for machine learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e55f20cc-43a2-41eb-a02d-512c744e532e · outbound

This paper cites National earthquake information center systems overview and integration,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding National earthquake information center systems overview and integration,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aebe4009-bc7e-414d-b982-b9031a570945 · outbound

This paper cites Which picker fits my data? a quanti- tative evaluation of deep learning based seismic pickers,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Which picker fits my data? a quanti- tative evaluation of deep learning based seismic pickers,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Unavailable: canonical work link unavailable.

Observation 9cb36969-74e8-4765-84cb-ccc29425df48 · outbound

This paper cites Loc- flow: An end-to-end machine learning-based high-precision earthquake location workflow,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Loc- flow: An end-to-end machine learning-based high-precision earthquake location workflow,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Unavailable: canonical work link unavailable.

Observation 6db09567-2b45-48c8-a72a-15634ce2aef9 · outbound

This paper cites Seismic arrival-time picking on distributed acoustic sens- ing data using semi-supervised learning,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Seismic arrival-time picking on distributed acoustic sens- ing data using semi-supervised learning,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f017fb-e52f-4309-827b-84c15886a8f4 · outbound

This paper cites Gemini and physical world: large language models can estimate the intensity of earthquake shaking from multimodal social media posts,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Gemini and physical world: large language models can estimate the intensity of earthquake shaking from multimodal social media posts,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8a29c9-80c9-4e71-b929-9ff946ba23e9 · outbound

This paper cites Onellm: one framework to align all modalities with language. arxiv,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Onellm: one framework to align all modalities with language. arxiv,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Unavailable: canonical work link unavailable.

Observation 9313d589-39f4-4174-aeab-ec31b18f29df · outbound

This paper cites Next-gpt: Any-to-any multimodal llm,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Next-gpt: Any-to-any multimodal llm,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Observation 660506ff-1a66-4398-ac24-addc0ceacb76 · outbound

This paper cites M3SciQA: A multi-modal multi-document scientific QA benchmark for evaluating foundation models,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding M3SciQA: A multi-modal multi-document scientific QA benchmark for evaluating foundation models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Unavailable: canonical work link unavailable.

Observation 0642d0bd-1aae-4b04-aead-4cf2672e43c3 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for sci- ence question answering,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Learn to explain: Multimodal reasoning via thought chains for sci- ence question answering,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59cde944-f041-4a73-aaef-15a8e88ef5d9 · outbound

This paper cites Multimodal Large Language Models for Medicine: A Comprehensive Survey.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Multimodal Large Language Models for Medicine: A Comprehensive Survey

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:23:59.933375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c41e6977-cc42-47c3-a1e4-99e6663221a4 · outbound

This paper cites The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:23:59.929114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06e84cec-9652-4cd4-81c4-1eeb125fde2e · outbound

This paper cites Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:23:59.919463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1d140e72-5d1a-4e0f-bd63-a8064a95bd69 · outbound

This paper cites Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:23:59.922789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b214624b-b274-4040-9ca3-886afd846ebb · outbound

This paper cites Plots Unlock Time-Series Understanding in Multimodal Models.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Plots Unlock Time-Series Understanding in Multimodal Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:23:59.924994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 68909d04-d2c3-4ede-a1d7-b7ee87507d81 · outbound

This paper cites Wilber3: Interactive event search and data retrieval,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Wilber3: Interactive event search and data retrieval,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

Source-reported events for the cited work

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Observation 3a47260a-305b-4ada-8840-0c160c270bcc · outbound

This paper cites Chronos: Learning the language of time series,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Chronos: Learning the language of time series,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Observation 93f4d874-98f0-4fa0-aba3-d90033bf0184 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Learning transferable visual models from natural language supervision,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-06-29T22:22:53.215257Z

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Unavailable: canonical work link unavailable.

Observation f271e851-210d-4c79-8db2-e8fd7a011417 · outbound

This paper cites Imagebind: One embedding space to bind them all,.

MULTISEISMO: A Multimodal Seismic Dataset and Model for Cross-Modal Seismic Understanding Imagebind: One embedding space to bind them all,

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:23:59.928147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.