Paper Citation Record · LEDGER

CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2406.15477.

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

pith.paper-citation-record.v1
2406.15477 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:52:41.302481Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:30.317474Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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 b287956e-65f6-4e00-8241-2a20d5e251c6 · inbound

Harnessing Large Language Models for Disaster Management: A Survey cites this paper.

Harnessing Large Language Models for Disaster Management: A Survey CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T20:52:41.302481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a7cd42-5559-4d79-acb1-6e003e134e58 · inbound

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

A Survey of Scaling in Large Language Model Reasoning CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Reference 245

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:08.985160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ef14f925-09fc-4214-abb7-55e2a75ce618 · inbound

A Multimodal, Multilingual, and Multidimensional Pipeline for Fine-grained Crowdsourcing Earthquake Damage Evaluation cites this paper.

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 92e300e2-fcd0-45fd-9466-5d86faaa4c19 · inbound

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting cites this paper.

How and Where to Translate? The Impact of Translation Strategies in Cross-lingual LLM Prompting CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:18.285294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1efb737-f360-4f18-a559-e4bfde1a1335 · inbound

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:25:28.989092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 37f6ca8e-97d6-4d24-bad0-e95099f8b528 · inbound

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches cites this paper.

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T16:38:13.594257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4387a746-e48c-4ccc-bd36-71ef55b8741b · inbound

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support cites this paper.

Large Language Models in Transportation Systems Management and Operations: From Text Reasoning to Multi-modal Decision Support CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:56:14.129688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9332d383-b1f3-486e-b448-9bc340d926a1 · inbound

Guide Me Out: A Framework to Benchmark VLM Operators Communication in Crisis Scenarios cites this paper.

Guide Me Out: A Framework to Benchmark VLM Operators Communication in Crisis Scenarios CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster Informatics

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:30.319591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.