Paper Citation Record · LEDGER

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2409.02322.

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

pith.paper-citation-record.v1
2409.02322 v2

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 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:16.431992Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:59:52.916170Z

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 a086a3c9-d470-46b2-a241-f2b55d54444a · inbound

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach cites this paper.

Time Series Generation Under Data Scarcity: A Unified Generative Modeling Approach TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:16.431992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb3f7663-5d36-40cb-addd-ca40551e9f90 · inbound

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

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T12:09:39.420167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 849a5d3c-8643-4dce-a77e-aa4112ded9c8 · 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 TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T16:49:26.888109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a4c68a7-1e11-4789-80c3-31eb5c098683 · inbound

Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning cites this paper.

Conditional Imputation for Within-Modality Missingness in Multi-Modal Federated Learning TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:36:09.697941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c72e588a-047d-46d6-b7da-94dda96412c5 · inbound

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models cites this paper.

TRACE: A Temporal Conditional Estimation for Multimodal Time Series Foundation Models TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.005993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3850706a-0cda-49e2-b375-945b59884e84 · inbound

Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting cites this paper.

Speaking Numbers to LLMs: Multi-Wavelet Number Embeddings for Time Series Forecasting TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:59:52.917868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.