Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Neural Generative Dynamics for Molecular Conformation Generation
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2102.10240.
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 2026-08-07T23:05:48.648924Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T07:20:28.548228Z
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 731d0a73-62c3-4151-a224-3aceb4b736c2 · inbound
Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities cites this paper.
Graph-structured Small Molecule Drug Discovery Through Deep Learning: Progress, Challenges, and Opportunities Learning Neural Generative Dynamics for Molecular Conformation Generation
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:05:48.648924Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c2118cc-40dc-4224-9dc9-c7b36922952f · inbound
Graph Neural Networks in Modern AI-aided Drug Discovery cites this paper.
Graph Neural Networks in Modern AI-aided Drug Discovery Learning Neural Generative Dynamics for Molecular Conformation Generation
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:50:58.689041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 686a67ee-f048-420f-82cd-322c00678d4e · inbound
Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cites this paper.
Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery Learning Neural Generative Dynamics for Molecular Conformation Generation
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T07:20:28.550650Z
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.