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Paper Citation Record · LEDGER

Towards Universal Neural Network Potential for Material Discovery Applicable to Arbitrary Combination of 45 Elements

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2106.14583.

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

pith.paper-citation-record.v1
2106.14583 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 2026-08-02T00:14:23.698018Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:43.117965Z

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 a9a97f6d-6c3e-40ac-b923-de4716907163 · inbound

Density diversity in training data governs thermodynamic transferability of machine learning interatomic potentials cites this paper.

Density diversity in training data governs thermodynamic transferability of machine learning interatomic potentials Towards Universal Neural Network Potential for Material Discovery Applicable to Arbitrary Combination of 45 Elements

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:43.120926Z

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=2026-05-08T04:22:37.939639Z digest=sha256:3716da13d6f34237ac81c391a30f53093c136504c44f6efc3c9cceaef3c5d1ce

Observation e33fa443-7a91-42f4-ab0b-5b2c6da9eb94 · inbound

A fast summation method for the DFT-D3 dispersion correction cites this paper.

A fast summation method for the DFT-D3 dispersion correction Towards Universal Neural Network Potential for Material Discovery Applicable to Arbitrary Combination of 45 Elements

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-02T00:14:23.698018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T00:14:23.698018Z digest=sha256:68bd79062065325eeabffcc2b64c448ddb5f2ef9dce4c62df2bd9d4ab2ea9e95