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Paper Citation Record · LEDGER

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.12206.

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

pith.paper-citation-record.v1
2410.12206 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 2026-08-06T20:11:10.788802Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T06:16:28.064256Z

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 33d87d65-04fc-463b-ab8a-fbcbb1c3fe1a · inbound

A Concept for Autonomous Problem-Solving in Intralogistics Scenarios cites this paper.

A Concept for Autonomous Problem-Solving in Intralogistics Scenarios Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:11:10.893216Z

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=2026-08-06T20:11:10.788802Z digest=sha256:38002a45166ffe6c8d31da8d66059a26606de00d7aadd97318681d293471bcb9

Observation 073613d9-1d0e-45c1-89f9-fc3c8ec15147 · inbound

SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction cites this paper.

SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-03T04:35:37.806780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:35:37.806780Z digest=sha256:106eed1380e83901fbccefac95aa445f690f4de58f31d044881dc97a6cde067d