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Paper Citation Record · LEDGER

Few-shot Learning for Time-series Forecasting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2009.14379.

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

pith.paper-citation-record.v1
2009.14379 v1

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:42:41.580000Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T23:04:44.523421Z

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 6788c280-ee8d-448d-ade9-73232ff39178 · inbound

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive cites this paper.

Smaug: Fixing Failure Modes of Preference Optimisation with DPO-Positive Few-shot Learning for Time-series Forecasting

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:04:44.525208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-17T23:04:44.287660Z digest=sha256:f4032944610fa40fef9d0fbe29673ce2043be1ff2da777453bcb5b0bba67762f

Observation 8da5a0e5-1352-4aaf-8c6d-a5c1b9748a93 · inbound

Retrieval Augmented Time Series Forecasting cites this paper.

Retrieval Augmented Time Series Forecasting Few-shot Learning for Time-series Forecasting

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T23:42:41.580000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:42:41.580000Z digest=sha256:529b1e3bf3f9997507dcfb6110dc1be2231b4c18ce92f22adb75350c284d781f

Observation 7453e576-3e2b-422d-8483-0a92a9ebbc38 · inbound

Channel-wise Retrieval for Multivariate Time Series Forecasting cites this paper.

Channel-wise Retrieval for Multivariate Time Series Forecasting Few-shot Learning for Time-series Forecasting

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T22:20:48.657649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T19:56:57.276343Z digest=sha256:703987374a488277882fa27682ee2c771004475e1ff2f812b9c8940b31256b49

Observation 0d3f481d-243d-404c-9b34-cfedf4bf61b7 · inbound

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework cites this paper.

Exploring the Potential of Probabilistic Transformer for Time Series Modeling: A Report on the ST-PT Framework Few-shot Learning for Time-series Forecasting

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:26:25.933206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-07T10:58:36.216692Z digest=sha256:c043c3346c34a30fece42aa8f2b98626a79f49b8eb843ac5b0dafba724f7c06f