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Paper Citation Record · LEDGER

Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1910.03127.

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

pith.paper-citation-record.v1
1910.03127 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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:35:41.516607Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:58:06.057491Z

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 e88f0dbf-398d-45f5-97b3-c88fdda72598 · inbound

DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods cites this paper.

DeepUQ: Assessing the Aleatoric Uncertainties from two Deep Learning Methods Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:41.516607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:35:41.516607Z digest=sha256:733f66caf97a4240c24c74967ce5d79a8b036f04523fe4f50eabfbdd19a4b1e5

Observation 39de35a9-1919-42af-bcd0-d07a30e25062 · inbound

Modelling magnetic material properties with uncertainty-aware neural networks cites this paper.

Modelling magnetic material properties with uncertainty-aware neural networks Evaluating Scalable Uncertainty Estimation Methods for DNN-Based Molecular Property Prediction

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:58:06.058761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-06-27T09:16:56.096931Z digest=sha256:c5b5a82cd6923524d3039470d197a9ced74286d311802d23f278c386a7b10e39