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Paper Citation Record · LEDGER

Atomic Cluster Expansion without Self-Interaction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.01550.

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

pith.paper-citation-record.v1
2401.01550 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:40:15.570200Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:40:16.198596Z

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 a483063d-e8e0-4d1b-a948-c612710e4ea5 · inbound

A Study on the Fine-Tuning Performance of Universal Machine-Learned Interatomic Potentials (U-MLIPs) cites this paper.

A Study on the Fine-Tuning Performance of Universal Machine-Learned Interatomic Potentials (U-MLIPs) Atomic Cluster Expansion without Self-Interaction

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:40:16.204678Z

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=2026-08-07T05:40:15.570200Z digest=sha256:ad9dc95a4d4383fa28ac2b0c9458b567aa55aef6bbce46a76f18fe51e775af20

Observation 47b19b16-aaac-4885-8b24-3ee45feb72b5 · inbound

On the Dimension-Free Approximation of Deep Neural Networks for Symmetric Korobov Functions cites this paper.

On the Dimension-Free Approximation of Deep Neural Networks for Symmetric Korobov Functions Atomic Cluster Expansion without Self-Interaction

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-03T22:14:25.644503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T22:14:25.644503Z digest=sha256:402caa27af4410421006906e6ec53022ef28eec3fb21143c298a4127fad46a63