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Paper Citation Record · LEDGER

Exponentially Weighted Moving Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.08136.

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

pith.paper-citation-record.v1
2404.08136 v2

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T22:26:58.143382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T22:00:21.421404Z

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 e204ad2a-1896-4ac4-ad81-76a64a1e7f5d · inbound

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search cites this paper.

GaiaFlow: Semantic-Guided Diffusion Tuning for Carbon-Frugal Search Exponentially Weighted Moving Models

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:00:21.425147Z

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=2026-05-15T21:58:04.706427Z digest=sha256:d1412abd759dd1514496afecee057c781b339e4ca575e41deea3527fc6069461

Observation 410b4e28-d8ba-4aaa-a379-cae91719ed3b · inbound

Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials cites this paper.

Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials Exponentially Weighted Moving Models

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-02T22:26:58.143382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:26:58.143382Z digest=sha256:25657c3c950d5b9fb959881165d313dd950c6b3e4fbb13666cf24a68d56d709d