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Paper Citation Record · LEDGER

Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2510.02729.

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

pith.paper-citation-record.v1
2510.02729 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:16:41.724222Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-21T05:29:39.715668Z

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 aef08cb6-0e4f-4b1d-9f59-9ec8c80dbe53 · inbound

LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling cites this paper.

LeapTS: Rethinking Time Series Forecasting as Adaptive Multi-Horizon Scheduling Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study

Reference 132

Resolution
verified exact
local_arxiv, observed 2026-05-12T06:06:26.890343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-12T04:34:56.684732Z digest=sha256:9d4fbb5220b88d4ebe9a1511e42cd54a95c358efe1401c9803989fac0e414569

Observation fcdbc1b1-1e10-4b46-bd53-757b0f660e90 · inbound

Reviving Error Correction in Modern Deep Time-Series Forecasting cites this paper.

Reviving Error Correction in Modern Deep Time-Series Forecasting Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T05:29:39.717418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-05-21T05:25:34.356205Z digest=sha256:ea330b0ca85f8a8e09265c6ef425d642a836c2c35c9e061aaf47000f31133a01

Observation 4266b124-0616-473a-81c4-46479f46e7b6 · inbound

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting cites this paper.

The Spectrum Is Not Enough: When Context Helps Time-Series Forecasting Exploring Accuracy Law for Deep Time Series Forecasters: An Empirical Study

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-02T06:16:41.724222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T06:16:41.724222Z digest=sha256:6c9ed790aae08fdf1c973a10f1de9eebc25c3d8b77beaef0dd82cd4de0a11a85