Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.12376.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:31:42.923611Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T22:14:52.206685Z
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 63bdecaa-6764-4d62-b503-3a0e94d78844 · inbound
Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.
Model-agnostic search for dijet resonances with anomalous jet substructure in proton-proton collisions at $\sqrt{s}$ = 13 TeV Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data
Reference 69
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T22:14:52.234011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a8b1a55-02b1-4598-bc64-c39674aa71ac · inbound
Graph theory inspired anomaly detection at the LHC cites this paper.
Graph theory inspired anomaly detection at the LHC Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:31:42.923611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79da08c6-447e-4323-bd49-03d99766a8ec · inbound
Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders cites this paper.
Simplex Demixing: Disentangling Multiple Light-Flavor Jets at Colliders Tag N' Train: A Technique to Train Improved Classifiers on Unlabeled Data
Reference 113
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T05:57:09.301835Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.