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Paper Citation Record · LEDGER

CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.14426.

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

pith.paper-citation-record.v1
2501.14426 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:57:06.912808Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:57:07.460504Z

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 69901616-02a3-46c7-8266-500276662c00 · inbound

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations cites this paper.

Diff-MN: Diffusion Parameterized MoE-NCDE for Continuous Time Series Generation with Irregular Observations CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T09:34:53.604593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:34:53.604593Z digest=sha256:da7c3b9cd73ab25318aee056b9d692a1ee6ca8dd8cc6f6abbdd9cbd6fffafc35

Observation 130475e3-21ed-4712-b8cf-eb6e07cc268e · inbound

SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation cites this paper.

SynEnergy: Anomaly Semantic-Guided Diffusion for Synthetic Energy Data Generation CENTS: Generating synthetic electricity consumption time series for rare and unseen scenarios

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:57:07.465493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T14:57:06.912808Z digest=sha256:56cfa8df360305e23d6f9da1866b504f81c04f0e73a8656a97979086d87d815e