Paper Citation Record · LEDGER

Federated Prompt Learning for Weather Foundation Models on Devices

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.14244.

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

pith.paper-citation-record.v1
2305.14244 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:18.507735Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:47:07.859427Z

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 89113926-2881-4cdd-a784-5c122de7c133 · inbound

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions cites this paper.

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Federated Prompt Learning for Weather Foundation Models on Devices

Reference 112

Resolution: unresolved; no resolver link, observed 2026-08-12T17:39:18.507735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7e30124-87c7-49aa-b47c-12fecc9277c4 · inbound

How Much Can Time-related Features Enhance Time Series Forecasting? cites this paper.

How Much Can Time-related Features Enhance Time Series Forecasting? Federated Prompt Learning for Weather Foundation Models on Devices

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T04:21:39.437896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e811080-5f0e-4138-9a4e-a5e693950dfb · inbound

Federated Foundation Models on Heterogeneous Time Series cites this paper.

Federated Foundation Models on Heterogeneous Time Series Federated Prompt Learning for Weather Foundation Models on Devices

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T17:31:06.959159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3416c8f1-e2be-46d7-b749-fb57cf047e2d · inbound

Discrete Prototypical Memories for Federated Time Series Foundation Models cites this paper.

Discrete Prototypical Memories for Federated Time Series Foundation Models Federated Prompt Learning for Weather Foundation Models on Devices

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:35:52.021110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bfa8604a-345f-4c8a-8059-92e1c953b12b · inbound

Federated Weather Modeling on Sensor Data cites this paper.

Federated Weather Modeling on Sensor Data Federated Prompt Learning for Weather Foundation Models on Devices

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:47:07.963388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.