Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.02078.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:15:29.910793Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T10:16:52.250445Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 3f7fdc1e-4c03-41be-8027-d01926411f70 · inbound
Open Catalyst Experiments 2024 (OCx24): Bridging Experiments and Computational Models CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c2af213-a29b-4e14-a3ba-bd91d0d034c6 · inbound
TSAgent: An Agentic Workflow for Autonomous Transition State Search CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 52dc102a-dcf6-4ce2-9b14-c037d8a8fe5e · inbound
Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7de1c106-6598-4672-ab51-f5676e9f1857 · inbound
Autonomous heterogeneous catalyst discovery with a self-evolving multi-agent digital twin CatTSunami: Accelerating Transition State Energy Calculations with Pre-trained Graph Neural Networks
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.