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Paper Citation Record · LEDGER

Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14252.

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

pith.paper-citation-record.v1
2405.14252 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:26:51.430023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T09:22:14.255337Z

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 222da34c-a3c4-41cc-8ad4-a84ae7117795 · inbound

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model cites this paper.

Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:14.041825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:14.041825Z digest=sha256:3ba978f8b2bae6f09e7f9129951fbf99448179dbc21257b22cf8b61b2b8ddb95

Observation 34f84b59-ce94-4a40-a20f-35abf12e3c45 · inbound

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs cites this paper.

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:22:14.260113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:20:56.057422Z digest=sha256:93f42257e6a256165b1610fc10c1349babd516d6fdbdf55abf60e7c3a683978f

Observation aca6cd06-5210-4241-9e63-7976d80199ef · inbound

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs cites this paper.

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:27:17.288311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:27:17.288311Z digest=sha256:d2d423ebd006b6e55a3d557f194b0c7b919b46554b616b8717a4d36d5c792857

Observation b50ffeb6-d41f-4106-b8e0-65443eb75732 · inbound

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges cites this paper.

Large Language models for Time Series Analysis: Techniques, Applications, and Challenges Time-FFM: Towards LM-Empowered Federated Foundation Model for Time Series Forecasting

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:26:51.430023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:26:51.430023Z digest=sha256:b982b426034ce99c3da09a244eca82b12afb2d7941ee4ebe4a6b3273d46b4944