Paper Citation Record · LEDGER

Enhancing Large Language Models with Climate Resources

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2304.00116.

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

pith.paper-citation-record.v1
2304.00116 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:49:55.422938Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:35:46.250525Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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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 b139aaac-4090-497b-8647-73fc4aba9aa9 · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science Enhancing Large Language Models with Climate Resources

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T21:54:44.183664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5864bc1e-4b6e-4193-8306-7f15db1554e0 · inbound

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change cites this paper.

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change Enhancing Large Language Models with Climate Resources

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-10T15:39:33.271400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 164b99da-4305-4cdd-a9d0-c0ef47be2cdc · inbound

A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation cites this paper.

A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and Adaptation Enhancing Large Language Models with Climate Resources

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T10:49:55.422938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe8e811-81a1-49bf-b046-a2957d4f76d5 · inbound

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs cites this paper.

EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMs Enhancing Large Language Models with Climate Resources

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:20.734284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d2ffc7e-68fe-4a35-babf-1b31ad330a87 · inbound

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

Earth Science Foundation Models: From Perception to Reasoning and Discovery Enhancing Large Language Models with Climate Resources

Reference 292

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:03.434863Z

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 f3665273-767a-459e-9443-9ae8dea86d29 · inbound

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

Earth Science Foundation Models: From Perception to Reasoning and Discovery Enhancing Large Language Models with Climate Resources

Reference 292

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:46.252084Z

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.