Pith. sign in

Paper Citation Record · LEDGER

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.05751.

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

pith.paper-citation-record.v1
2403.05751 v2

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 2026-08-08T05:44:46.465592Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:58:59.575544Z

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 4261761d-cdf7-403f-825a-7e0d399e230b · inbound

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting cites this paper.

HDT: Hierarchical Discrete Transformer for Multivariate Time Series Forecasting MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T05:44:46.465592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T05:44:46.465592Z digest=sha256:e6fe3448f8390b3fc44dac16080d57214d694341f2385712cf0be63e13c867b0

Observation 0b669c15-d4f0-4f4d-b4f2-0f47594bd12a · inbound

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

Diffusion Models for Time Series Forecasting: A Survey MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:58:59.881290Z

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=2026-08-06T15:58:54.729159Z digest=sha256:52eb719fb42e6ff480ec51ba6ac87d73d28a0eb657e08263ab79948919fd4ff1