Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2004.08262.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:53.976057Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T17:39:59.910566Z
Reference resolution
0 of 0 outbound references displayed
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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 c38bd883-c8e5-49c6-939f-be9590cafa05 · inbound
Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization cites this paper.
Jet Substructure Probe on Scalar Leptoquark Models via Top Polarization Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:05:53.976057Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8570a054-c355-4906-81fb-bc8593e6478e · inbound
Recent results on searches with boosted Higgs bosons at CMS cites this paper.
Recent results on searches with boosted Higgs bosons at CMS Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:01:42.420231Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fd9ae07-5853-43f7-85c7-7de53a4d47f6 · inbound
Enabling stable preservation of ML algorithms in high-energy physics with petrifyML cites this paper.
Enabling stable preservation of ML algorithms in high-energy physics with petrifyML Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 4
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-04T16:47:23.771333Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68bf88ee-08be-4d98-8070-062f068c9ee4 · inbound
Combination of searches for heavy vector boson resonances in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.
Combination of searches for heavy vector boson resonances in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T09:47:22.365734Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ddd5cf4d-9145-4f67-a2eb-8845727168ff · inbound
Measurement of the jet mass in hadronic decays of boosted W bosons at 13 TeV and extraction of the W boson mass cites this paper.
Measurement of the jet mass in hadronic decays of boosted W bosons at 13 TeV and extraction of the W boson mass Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 63
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T21:45:55.247740Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f201f62-65f2-4287-a936-fb0a23c36cbb · inbound
Search for Higgs boson production at high transverse momentum in the WW decay channel in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.
Search for Higgs boson production at high transverse momentum in the WW decay channel in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:48:34.618987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b008335-4a1b-4912-8b53-fe3bc6ed7c19 · inbound
"Hadron-in-fat-jet'' AI Tagging to Detect Rare Decays Such as $W^{\pm}\to\pi^{\pm}\gamma$ cites this paper.
"Hadron-in-fat-jet'' AI Tagging to Detect Rare Decays Such as $W^{\pm}\to\pi^{\pm}\gamma$ Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T01:57:32.172750Z
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.
Observation ee53592f-6707-412d-b3a3-fa178e65d45c · inbound
Reinterpretation of ATLAS and CMS searches in monojet and mono-$V$ final states: prospects of limits on excited neutrinos cites this paper.
Reinterpretation of ATLAS and CMS searches in monojet and mono-$V$ final states: prospects of limits on excited neutrinos Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T17:39:59.911994Z
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.