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Paper Citation Record · LEDGER

Deep learning for time series classification

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.00567.

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

pith.paper-citation-record.v1
2010.00567 v1

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 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:15:33.029952Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T06:25:07.717413Z

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 ed17d033-9252-4fc9-ba6f-e1fd72b958c0 · inbound

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder cites this paper.

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder Deep learning for time series classification

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T10:15:33.029952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:15:33.029952Z digest=sha256:35780d84958345516ecdb2b3ad9e7c6b14cdec3dec725678bb7f4398dc4cc6a3

Observation 9c33853b-659e-4754-b548-1f28a0873bd0 · inbound

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks cites this paper.

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks Deep learning for time series classification

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T00:13:21.722692Z

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.

source=pdf_text observed=2026-05-15T00:11:43.037956Z digest=sha256:4da60a31405d02dd5fd009c88ea36fd076ef1fc8a8dc265802ea54b7e3460078

Observation 28f5b45e-eac8-4ab1-9945-3fe04575d5ab · inbound

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks cites this paper.

A Foundation Model for Instruction-Conditioned In-Context Time Series Tasks Deep learning for time series classification

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:25:07.720064Z

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.

source=pdf_text observed=2026-05-15T06:21:42.394251Z digest=sha256:3884db5b937beae0a83dce5a1a807546b701b44f6b3c4224ab78260f91fe2047