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Paper Citation Record · LEDGER

SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction

As of 8 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2602.04643.

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

pith.paper-citation-record.v1
2602.04643 v2

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:35:37.973442Z

measured 5 of 5 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4e044f62-a3e5-4bb0-94ba-103e8c6e7f72 · outbound

This paper cites Predictive alignment bounds the deviation between targets and predictions at each time step, while EMA smoothness bounds how fast the target moves.

SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction Predictive alignment bounds the deviation between targets and predictions at each time step, while EMA smoothness bounds how fast the target moves

Reference 1

Resolution
malformed identifier
no resolver link, observed 2026-08-03T04:35:37.894789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:35:37.894789Z digest=sha256:cf6b694c4323f45e454f02c5a3895d893eac1adab94b8b97eb5e84c91e04a1dd

Observation 5bdea397-8452-442c-beec-c83602af5942 · outbound

This paper cites Codebook alignment weights λemb=1.0 and λcom=0.25.

SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction Codebook alignment weights λemb=1.0 and λcom=0.25

Reference 10

Resolution
malformed identifier
no resolver link, observed 2026-08-03T04:35:37.973442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:35:37.973442Z digest=sha256:014a4a892d2aa9d6cf8218cf5422685048c9b4f53ee4da11fb93575fc22802d8

Observation fea58a8a-2143-4f8f-ba00-b1748d4d5ae0 · outbound

This paper cites Joint embeddings go temporal.arXiv preprint arXiv:2509.25449,.

SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction Joint embeddings go temporal.arXiv preprint arXiv:2509.25449,

Reference 2006

Resolution
unresolved
no resolver link, observed 2026-08-03T04:35:37.684033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:35:37.684033Z digest=sha256:cd4780c44660785d84933ce36df5e7d4df58509d71b8da3dc81599b940a87aaa

Observation f83915fa-a4be-4edf-8188-732a5c6a1787 · outbound

This paper cites When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series.

SC-JEPA: Stabilizing Latent Predictive Learning for Time-Series Anomaly Prediction When Will It Fail?: Anomaly to Prompt for Forecasting Future Anomalies in Time Series

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-03T04:35:37.725706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T04:35:37.725706Z digest=sha256:bb5c37df1e5ea63a951106d74d3974c0c5075fd073e0271a82c4a773df0e1c10

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

This paper cites Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling.

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

Pith citing papers

No inbound Pith citation observations are available.