Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning Method for Computing Committor Functions with Adaptive Sampling
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.06206.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:19:02.107112Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:06:55.898388Z
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 42cee6a4-78db-4ac5-95e8-261fe3edbd72 · inbound
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths cites this paper.
Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Deep Learning Method for Computing Committor Functions with Adaptive Sampling
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:19:02.107112Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69aa285b-105d-46c1-a664-9801d69c19ee · inbound
Transition Path Theory For L\'{e}vy-Type Processes: SDE Representation and Statistics cites this paper.
Transition Path Theory For L\'{e}vy-Type Processes: SDE Representation and Statistics Deep Learning Method for Computing Committor Functions with Adaptive Sampling
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T10:32:14.628548Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 172bb675-dc3e-494f-93ba-5a038dbdc2d7 · inbound
Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events cites this paper.
Reactive Flux Matching: Mechanism Discovery and Adaptive Sampling of Rare Events Deep Learning Method for Computing Committor Functions with Adaptive Sampling
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:06:55.899847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.