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Paper Citation Record · LEDGER

Improved uncertainty quantification for Gaussian process regression based interatomic potentials

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2206.08744.

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

pith.paper-citation-record.v1
2206.08744 v1

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:08:51.854655Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:16:10.858214Z

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 abb3c4a8-b72d-4e95-b3af-652899fc8452 · inbound

Knowing when to trust machine-learned interatomic potentials cites this paper.

Knowing when to trust machine-learned interatomic potentials Improved uncertainty quantification for Gaussian process regression based interatomic potentials

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:16:10.862457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T20:20:22.056820Z digest=sha256:8f4ea04b0e0248611b4a57317d1ce4c8b9f31546cad36b5b28a3bd6f9ed55cda

Observation 1e87edfc-a0df-442e-af37-542949807d7a · inbound

Uncertainty Quantification for Free Energy Calculations by Generalized Hierarchical Bayesian Inference cites this paper.

Uncertainty Quantification for Free Energy Calculations by Generalized Hierarchical Bayesian Inference Improved uncertainty quantification for Gaussian process regression based interatomic potentials

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T05:08:51.854655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:08:51.854655Z digest=sha256:8e6d09c7799f70d650ba75c55130c22f9cfd7022d4b91865ea7289116b61abfc