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Paper Citation Record · LEDGER

DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.20707.

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

pith.paper-citation-record.v1
2410.20707 v1

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 2026-08-11T06:34:44.6726+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.838053Z

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

1
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 2b6ee553-478f-43c6-9652-8b735a9bb4f5 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response

Reference 163

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:22:08.876037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T21:20:07.238992Z digest=sha256:c4af4bceff42283ec2f929d152476f4a9e8cc1d37b6f17e54f7ce7fae11108dc

Observation 3f31b45e-c978-44a9-b2c7-21cf96fea40b · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:41.838053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:41.838053Z digest=sha256:94373ac756fb0f9f161fa62e8f0f04987c866ce2ba2bb9793609018633b2439b

Observation 946f884a-098e-4ed3-aa41-2f3d57055e2e · inbound

DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments cites this paper.

DisasterBench: A Multimodal Benchmark for UAV-Based Disaster Response in Complex Environments DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:56:55.955709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T02:36:11.721143Z digest=sha256:c0e27109421c655d4140d298390e3398e7a81b344652aa83c41af4bd3abd4481

Observation edd48174-76e3-4218-8b33-7eaf73d2d7e8 · 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 DisasterQA: A Benchmark for Assessing the performance of LLMs in Disaster Response

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-26T12:49:28.554832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T12:45:16.298896Z digest=sha256:e6db9a61fbd2bf4f55381cf134f949079c4c9b9e52da515457be8b012326d1b1