Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T15:50:51.477351Z
Paper Citation Record · LEDGER
Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
As of 21 August 2026, this Paper Citation Record lists 1 of 1 outbound references and 2 inbound Pith citation observations for arXiv:2605.28076.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T15:50:51.477351Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T09:26:59.688178Z
Reference resolution
1 of 1 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7ddad4d0-67e4-41c1-8dce-fae9fbcf2eee · outbound
This paper cites Diagnosing the conditional-mean barrier in scientific machine-learning surrogates.
Diagnosing the conditional-mean barrier in scientific machine-learning surrogates Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T15:50:51.477351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 7ddad4d0-67e4-41c1-8dce-fae9fbcf2eee · inbound
Diagnosing the conditional-mean barrier in scientific machine-learning surrogates cites this paper.
Diagnosing the conditional-mean barrier in scientific machine-learning surrogates Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T15:50:51.477351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9feb288-f1b2-4924-b681-42d75d48e089 · inbound
Intrinsic Instantaneous Coarse-to-Fine Recoverability in the Lorenz-96 System cites this paper.
Intrinsic Instantaneous Coarse-to-Fine Recoverability in the Lorenz-96 System Diagnosing the conditional-mean barrier in scientific machine-learning surrogates
Reference 39
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T09:26:59.689493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.