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Paper Citation Record · LEDGER

Time Series Data Imputation: A Survey on Deep Learning Approaches

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.11347.

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

pith.paper-citation-record.v1
2011.11347 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 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:22:43.427752Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:05:51.541899Z

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 39e9eeac-f537-4d3c-9849-a106f71d56a1 · inbound

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

Deep Time Series Models: A Comprehensive Survey and Benchmark Time Series Data Imputation: A Survey on Deep Learning Approaches

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:05:51.544478Z

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=2026-05-23T23:03:45.096751Z digest=sha256:07aff41f3a103a97c40f9bfcfe5bd6ba0d9cfc62cadc9b7694ab2e1736bd2974

Observation cb1dd6d9-0f60-47ac-9289-816791dd9428 · inbound

A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation cites this paper.

A Joint Learning Framework with Feature Reconstruction and Prediction for Incomplete Satellite Image Time Series in Agricultural Semantic Segmentation Time Series Data Imputation: A Survey on Deep Learning Approaches

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:22:43.427752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:22:43.427752Z digest=sha256:503b015f28d63c502897d5fb7ad24295385c51c13008019767cc6b1c4bd280ea

Observation 9a8b499b-b414-4219-a1fd-078eb8279886 · inbound

MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation cites this paper.

MBDiff: Multi-view Behavior-aware Diffusion Model for Probabilistic Utility Data Imputation Time Series Data Imputation: A Survey on Deep Learning Approaches

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T12:16:14.231965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T12:16:14.231965Z digest=sha256:2944a8142d976763b728a26865a7947f93855b62cb3c0c52f81c4703d5e69590