Paper Citation Record · LEDGER

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.02475.

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

pith.paper-citation-record.v1
2402.02475 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:34:38.395335Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T01:45:50.828562Z

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 dc6038d3-f274-4737-9cb2-06004ab614c7 · inbound

Deep Time Series Models: A Comprehensive Survey and Benchmark cites this paper.

Deep Time Series Models: A Comprehensive Survey and Benchmark TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Reference 196

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:05:51.443981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1498ee0f-abdc-460f-b88e-4a487efcc00d · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:28:55.194907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7f81548-5ab7-4872-b9a2-815f4c531d77 · inbound

Physical activities enable scalable foundation modelling for broad-spectrum health prediction cites this paper.

Physical activities enable scalable foundation modelling for broad-spectrum health prediction TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-09T01:45:50.829713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6d7c4932-b838-43ad-97de-273b357ab953 · inbound

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? cites this paper.

Is Self-Pretraining really useful to improve diagnosis in medical Time Series? TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:34:38.395335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.