Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic Simulation
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.20955.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:34:06.320370Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 65108c4d-f468-4303-bd56-8e05f1e936f8 · inbound
Virtual Cells: Predict, Explain, Discover cites this paper.
Virtual Cells: Predict, Explain, Discover Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic Simulation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:34:06.320370Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d8304ad-4ef6-45a9-94b7-ae1485564dc8 · inbound
Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials cites this paper.
Toward Routine CSP of Pharmaceuticals: A Fully Automated Protocol Using Neural Network Potentials Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic Simulation
Reference 6615
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:19:27.544495Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d9bde138-4e3a-45e2-b70e-25c3e3195b8b · inbound
Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations cites this paper.
Accuracy and Efficiency Benchmarks of Pretrained Machine Learning Potentials for Molecular Simulations Egret-1: Pretrained Neural Network Potentials for Efficient and Accurate Bioorganic Simulation
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T11:30:52.641987Z
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.