Pith. sign in

Paper Citation Record · LEDGER

Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.13112.

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

pith.paper-citation-record.v1
2406.13112 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:53:28.278042Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T06:01:01.764185Z

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 998b9484-b6c5-4eb7-bee3-592c1f43fc8e · inbound

Neural Network Potential with Multi-Resolution Approach Enables Accurate Prediction of Reaction Free Energies in Solution cites this paper.

Neural Network Potential with Multi-Resolution Approach Enables Accurate Prediction of Reaction Free Energies in Solution Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-12T06:01:01.771453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-12T06:01:01.136596Z digest=sha256:188bf1604b063edee48ed94ae4e3969e001faa60fe3c21d292ad32840297a805

Observation c735ab08-e56d-4fcf-9b35-acfdcbc3a9b2 · inbound

LAMBench: A Benchmark for Large Atomistic Models cites this paper.

LAMBench: A Benchmark for Large Atomistic Models Nutmeg and SPICE: Models and Data for Biomolecular Machine Learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:53:28.278042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:53:28.278042Z digest=sha256:30430f672020849ffed343b09b8e05e2cad43b65268337118376a922596fc08f