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Paper Citation Record · LEDGER

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2502.11059.

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

pith.paper-citation-record.v1
2502.11059 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.885548Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T13:35:46.151244Z

Reference resolution

0 of 0 outbound references displayed

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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 9a744818-515c-4427-8032-fb5d15c440c6 · inbound

From Time Series Analysis to Question Answering: A Survey in the LLM Era cites this paper.

From Time Series Analysis to Question Answering: A Survey in the LLM Era ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:32:15.709526Z

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.

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Observation f36fd6d9-a808-4022-af84-409d5deabdbc · inbound

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

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:41.885548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:41.885548Z digest=sha256:09ab14f6a1456e1f952c7dad586d9ef2592b9bd015a19b3d18c60f41bb788537

Observation 23067c10-f68c-49f1-a895-5395d4e9f3fd · inbound

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling cites this paper.

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T12:09:39.614971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:09:39.614971Z digest=sha256:5810c6f683b9710d1f13a4e2d140697d7b4789cd1ddf30ef702c13d1a69b5287

Observation a9855f5a-005d-47a7-92c6-ce709753b8af · inbound

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models cites this paper.

A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-04T16:49:30.410190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T16:49:30.410190Z digest=sha256:aec9f2dda0c1e8befbbb1f8c171b9bca7c5fea6be53340b579730c5e8d49b78a

Observation b63aafb5-d01e-45f0-8086-d0462b85d87c · inbound

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation cites this paper.

TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:06:26.164507Z

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.

source=pdf_text observed=2026-05-07T12:54:56.401350Z digest=sha256:dda5d2bdd4da0f425f254068ca85fd9f834ea7ad4f1c0a4c6f0922bda28fa19b

Observation 35d624c7-5347-42c5-b875-3af5dc5ef634 · inbound

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

Earth Science Foundation Models: From Perception to Reasoning and Discovery ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 169

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:03.301022Z

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.

source=pdf_text observed=2026-05-14T22:07:40.242567Z digest=sha256:607d257eacb4cccdd077578190442fac8a611ec1f2dd1866fed4ba35a6325af4

Observation afa2ff00-363f-437a-a53e-f8ceb6a503c2 · inbound

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

Earth Science Foundation Models: From Perception to Reasoning and Discovery ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models

Reference 169

Resolution
verified exact
arxiv_id, observed 2026-07-01T13:35:46.153087Z

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.

source=pdf_text observed=2026-06-30T23:07:21.558834Z digest=sha256:b606eeffd764c016c6833afd46d78e5e089be9f249d7df02e34f5e21886408ab