Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Learning Gradient Fields for Molecular Conformation Generation
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.03902.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T05:04:57.220584Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T00:37:29.950429Z
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 05371b18-8969-40ab-9953-4cee2cfc40d8 · inbound
Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach cites this paper.
Generative Model for Synthesizing Ionizable Lipids: A Monte Carlo Tree Search Approach Learning Gradient Fields for Molecular Conformation Generation
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T05:04:57.220584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 03d151d3-1b67-4ffe-abf9-bcff4796d999 · inbound
Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics cites this paper.
Align Your Structures: Generating Trajectories with Structure Pretraining for Molecular Dynamics Learning Gradient Fields for Molecular Conformation Generation
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T12:05:54.442913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f1a8df4-fc0b-4b8e-865f-389ddb5234ec · inbound
Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.
Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Learning Gradient Fields for Molecular Conformation Generation
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T00:37:29.951806Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.