Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transferable Machine Learning Potential X-MACE for Excited States using Integrated DeepSets
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.12870.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T17:58:21.466723Z
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
4
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 b03716af-1c52-496d-a9ea-b56c6f74f8f5 · inbound
XMCQDPT2-Fidelity Transfer-Learning Potentials and a Wavepacket Oscillation Model with Power-Law Decay for Ultrafast Photodynamics cites this paper.
XMCQDPT2-Fidelity Transfer-Learning Potentials and a Wavepacket Oscillation Model with Power-Law Decay for Ultrafast Photodynamics Transferable Machine Learning Potential X-MACE for Excited States using Integrated DeepSets
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:58:21.466723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8c16b7f-5ea8-4a12-a0ed-f998ec603207 · inbound
Modeling phase separation in polymer-derived silicon carbonitride ceramics through extended machine learning molecular dynamics cites this paper.
Modeling phase separation in polymer-derived silicon carbonitride ceramics through extended machine learning molecular dynamics Transferable Machine Learning Potential X-MACE for Excited States using Integrated DeepSets
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T07:29:47.169240Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0e4306d9-e5dd-49a0-a470-c0fb37d7deb3 · inbound
Modeling phase separation in polymer-derived silicon carbonitride ceramics through extended machine learning molecular dynamics cites this paper.
Modeling phase separation in polymer-derived silicon carbonitride ceramics through extended machine learning molecular dynamics Transferable Machine Learning Potential X-MACE for Excited States using Integrated DeepSets
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:04:57.191109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.