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Paper Citation Record · LEDGER

Introducing GPU-acceleration into the Python-based Simulations of Chemistry Framework

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.09700.

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

pith.paper-citation-record.v1
2407.09700 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:53:32.042012Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:39:38.804488Z

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 58bcb281-4c29-4bd6-bee3-298b11f44f45 · inbound

OpenMM-Python-Force: Deploying Accelerated Python Modules in Molecular Dynamics Simulation cites this paper.

OpenMM-Python-Force: Deploying Accelerated Python Modules in Molecular Dynamics Simulation Introducing GPU-acceleration into the Python-based Simulations of Chemistry Framework

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T04:53:32.042012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:53:32.042012Z digest=sha256:a3ce40914c3c1a5d507c4b546dd4637bded6863f6d364a2e7deb797ec0f81aa1

Observation ceaf3168-5824-4920-8585-e87fc769d000 · inbound

A Unified Generative Framework for Scalable Chemical Reaction Network Exploration cites this paper.

A Unified Generative Framework for Scalable Chemical Reaction Network Exploration Introducing GPU-acceleration into the Python-based Simulations of Chemistry Framework

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:39:38.805963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-26T13:14:13.877019Z digest=sha256:ee08c62ff5877be5e5cc4e0d997f24034e065d62a37745358489371742768a9a