Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T15:01:50.837272Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 1 inbound Pith citation observation for arXiv:2512.18531.
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, observed 2026-08-03T15:01:50.837272Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-16T08:39:31.368993Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T08:40:46.282227Z
3 of 3 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation f774a962-ac3b-4c9f-81d5-0fc050b178d7 · outbound
Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence N.; Kaiser, L.; Polosukhin, I
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0674120-c2bf-4727-adb1-ca9f0c61480f · outbound
Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence G.; Madzhidov, T
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5fa1f4ff-efba-45d1-bd39-057fdcb5f286 · outbound
Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence Escaping the Big Data Paradigm with Compact Transformers
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd65c2f0-0039-4e54-908e-f3747360bd09 · inbound
Reversible Deep Learning for 13C NMR in Chemoinformatics: On Structures and Spectra Pushing the limits of one-dimensional NMR spectroscopy for automated structure elucidation using artificial intelligence
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.