Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2009.06754.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:34:16.326771Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T17:14:59.596593Z
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 cbdd98d5-e7ed-45af-b120-d2170af2b54f · inbound
Transformer networks for Heavy flavor jet tagging cites this paper.
Transformer networks for Heavy flavor jet tagging Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:30:19.253360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0ea84e1f-bd63-47a8-83e1-728abd92d6ef · inbound
IAFormer: Interaction-Aware Transformer network for collider data analysis cites this paper.
IAFormer: Interaction-Aware Transformer network for collider data analysis Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:14:59.598280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 62604d2b-4874-4901-a0c0-3b18a28f9e3f · inbound
Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC cites this paper.
Deep Learning to Improve the Sensitivity of Higgs Pair Searches in the $4b$ Channel at the LHC Benchmarking Machine Learning Techniques with Di-Higgs Production at the LHC
Reference 141
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:34:16.326771Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.