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Paper Citation Record · LEDGER

Vision-Enhanced Time Series Forecasting via Latent Diffusion Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.14887.

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

pith.paper-citation-record.v1
2502.14887 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:58:55.794200Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:17:30.927809Z

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 309cd324-5ae2-4d61-9d52-4f76d06e7bd8 · inbound

Diffusion Models for Time Series Forecasting: A Survey cites this paper.

Diffusion Models for Time Series Forecasting: A Survey Vision-Enhanced Time Series Forecasting via Latent Diffusion Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-06T15:58:55.794200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:58:55.794200Z digest=sha256:7f9d5b8f28bea112fbc28021261426912cc643bb109aa6104c343768078bddd7

Observation 72949e8f-7eae-43db-b30e-d2b54f16c681 · inbound

From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction cites this paper.

From Coarse to Fine: Managing Temporal Granularity in Spatio-Temporal Data for Fine-Grained Traffic Prediction Vision-Enhanced Time Series Forecasting via Latent Diffusion Models

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-07-03T01:17:30.929323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T16:40:14.247942Z digest=sha256:15233ced2e5eddab8dbca99d383e5d0a2d68c0d91fa3b312b3770bb3fd618534