Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AI for Science: An Emerging Agenda
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2303.04217.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:20:13.947462Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T05:24:38.326800Z
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 082cdf43-095c-4632-8b93-3d15a20a483f · inbound
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis cites this paper.
Recent Advances in Simulation-based Inference for Gravitational Wave Data Analysis AI for Science: An Emerging Agenda
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:20:13.947462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ee841e9-1143-42ae-977d-eff1aadf1548 · inbound
An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience cites this paper.
An Engineering Journey Training Large Language Models at Scale on Alps: The Apertus Experience AI for Science: An Emerging Agenda
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T14:20:30.856533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4fc84bc7-604c-4801-8616-f849c33920bc · inbound
Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence cites this paper.
Cross-domain benchmarks reveal when coordinated AI agents improve scientific inference from partial evidence AI for Science: An Emerging Agenda
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:24:38.329266Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.