Paper Citation Record · LEDGER

Soft-DTW: a Differentiable Loss Function for Time-Series

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1703.01541.

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

pith.paper-citation-record.v1
1703.01541 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:46:47.883153Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:51:08.402986Z

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 198de7f9-bfd7-48e1-af8d-c35d4ac43d69 · inbound

Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces cites this paper.

Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces Soft-DTW: a Differentiable Loss Function for Time-Series

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T15:46:47.883153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a740e38-0798-4715-9bea-61f258c7979a · inbound

Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging cites this paper.

Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging Soft-DTW: a Differentiable Loss Function for Time-Series

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T15:04:54.354164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8f5135-7014-4213-8777-e05a52a33296 · inbound

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series cites this paper.

Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series Soft-DTW: a Differentiable Loss Function for Time-Series

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:51:08.406839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d5b33e43-9930-480b-9487-5e6c18e15539 · inbound

Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement cites this paper.

Generative Augmentation for EEG Motor Imagery Classification: A Class-Conditional VAE with Cycle-Consistent Decoder Refinement Soft-DTW: a Differentiable Loss Function for Time-Series

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T10:59:38.291951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.