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Paper Citation Record · LEDGER

Assessing Large Language Models on Climate Information

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.02932.

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

pith.paper-citation-record.v1
2310.02932 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:49:55.340798Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T21:54:45.125062Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 35c43ed2-6463-4137-a1ae-43aba4e055da · inbound

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

Challenges in Guardrailing Large Language Models for Science Assessing Large Language Models on Climate Information

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:54:45.131022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T21:54:44.172677Z digest=sha256:97c8d49073a5e415cc115e1b7e363e6d9a44b9b5216cf8aa3e6fcb26649e3326

Observation 3db2b646-c3bf-4a14-b936-254b0980e1c1 · 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 Assessing Large Language Models on Climate Information

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T10:49:55.340798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:49:55.340798Z digest=sha256:150b6e76206d8dba570de1606bb2ac9116d7f740e9bc58c50ecbe60b0224754b

Observation 022f25af-2a3a-4905-b32e-3b51466925d8 · inbound

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? cites this paper.

GeoGrid-Bench: Can Foundation Models Understand Multimodal Gridded Geo-Spatial Data? Assessing Large Language Models on Climate Information

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:07:48.522130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:07:48.522130Z digest=sha256:a1697a052a67977f013d2eca8ca75f7a827ed0263bad53d8f341b2aa98fb6d89