Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:08:12.992856Z
Paper Citation Record · LEDGER
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2506.03360.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-26T12:45:16.298896Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
12 of 12 outbound references displayed
- verified exact1
- verified fuzzy4
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch3
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation 7cbae61c-9af0-476c-8de6-d50f1e5c1aa3 · outbound
This paper cites Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:12.470417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a265a695-43ba-41bf-ae68-0e3c975a3793 · outbound
This paper cites Matthew M Torok, Mani Golparvar-Fard, and Kevin B Kochersberger.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation Matthew M Torok, Mani Golparvar-Fard, and Kevin B Kochersberger
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:13.887480Z
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.
Observation ef14f925-09fc-4214-abb7-55e2a75ce618 · outbound
This paper cites CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:12.992856Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee08f556-9bf0-49ee-961c-bf3f424040eb · outbound
This paper cites PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models
Reference 2010
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:12.066939Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e0dd347-79b5-41c3-90e9-0f423bd7ddbc · outbound
This paper cites did you feel it?.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation did you feel it?
Reference 2011
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T11:08:13.222334Z
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.
Observation 2f32a86e-24d6-4b18-93c2-d2288b6b78e2 · outbound
This paper cites EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing
Reference 2012
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:08:11.815454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71514fc3-b9af-46a7-aec2-0b96d5241ca0 · outbound
This paper cites Accurate Local Estimation of Geo-Coordinates for Social Media Posts.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation Accurate Local Estimation of Geo-Coordinates for Social Media Posts
Reference 2014
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T11:08:13.779709Z
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.
Observation 52f214c8-8f24-4e13-976b-ef2713579f1d · outbound
This paper cites Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation Aligning AI with Public Values: Deliberation and Decision-Making for Governing Multimodal LLMs in Political Video Analysis
Reference 2019
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T11:08:13.322868Z
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.
Observation a503a530-64d6-4bcf-bbfe-e09fe309c892 · outbound
This paper cites Derek Doran, Swapna Gokhale, and Aldo Dagnino.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation Derek Doran, Swapna Gokhale, and Aldo Dagnino
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:14.345305Z
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.
Observation 6302431b-b4f5-4d25-bf8a-3e131f3de8a2 · outbound
This paper cites Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation Geneverse: A collection of Open-source Multimodal Large Language Models for Genomic and Proteomic Research
Reference 2023
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T11:08:13.563604Z
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.
Observation 3ae38d39-ba4c-44ef-a431-66ab22ce39ba · outbound
This paper cites New York University.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation New York University
Reference 2024
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:14.190599Z
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.
Observation f55901a7-6f14-43da-a7ae-fde8a56ae3a8 · outbound
This paper cites Niall O’Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Velasco Hernandez, Lenka Krpalkova, Daniel Riordan, and Joseph Walsh.
A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation Niall O’Mahony, Sean Campbell, Anderson Carvalho, Suman Harapanahalli, Gustavo Velasco Hernandez, Lenka Krpalkova, Daniel Riordan, and Joseph Walsh
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T11:08:14.051419Z
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.
Pith citing papers
Observation 233b2422-1e9b-4017-8f9e-c5253167f568 · inbound
RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery cites this paper.
RAPID: A Reproducible Multi-Agent Pipeline for Interpretable Disaster Damage Assessment from Satellite and Street-View Imagery A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T12:49:28.562944Z
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.