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Paper Citation Record · LEDGER

Identification of hadronic tau lepton decays using a deep neural network

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2201.08458.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2201.08458 v3

Coverage vector

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Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:05:54.325690Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T23:59:06.637597Z

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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 0f2718df-5fd1-4e19-aa11-454a40787970 · 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 hadronic tau lepton decays using a deep neural network

Reference 48

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Observation 099c1b34-a808-4f26-8679-55fb466024e0 · inbound

Search for the nonresonant and resonant production of a Higgs boson in association with an additional scalar boson in the $\gamma\gamma\tau\tau$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for the nonresonant and resonant production of a Higgs boson in association with an additional scalar boson in the $\gamma\gamma\tau\tau$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of hadronic tau lepton decays using a deep neural network

Reference 46

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Observation 6086dc3a-90a2-4f96-91dc-e3b8364e83f1 · inbound

Non-Standard Neutrino Interactions at a Muon Collider Neutrino Detector cites this paper.

Non-Standard Neutrino Interactions at a Muon Collider Neutrino Detector Identification of hadronic tau lepton decays using a deep neural network

Reference 77

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Observation c441d8f5-4563-401c-9fdd-1ecb980ba8ed · inbound

Octet scalars shaping LHC distributions in 4-jet final states cites this paper.

Octet scalars shaping LHC distributions in 4-jet final states Identification of hadronic tau lepton decays using a deep neural network

Reference 4

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arxiv_id, observed 2026-05-17T22:12:08.956809Z

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Observation b6260216-8a99-4026-8c94-5287d5dfc7d3 · inbound

Search for a boosted Higgs boson decaying to bottom quark pairs in association with a W or Z boson in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for a boosted Higgs boson decaying to bottom quark pairs in association with a W or Z boson in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of hadronic tau lepton decays using a deep neural network

Reference 78

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Observation 0d47926f-f7f8-43f9-9ffe-2eb11e0da375 · inbound

Search for dark matter produced in association with a Higgs boson decaying to bottom quarks in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for dark matter produced in association with a Higgs boson decaying to bottom quarks in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of hadronic tau lepton decays using a deep neural network

Reference 47

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Observation cc058053-d9e7-401f-adef-3b8b685c72ac · inbound

Search for the pair production of long-lived supersymmetric partners of the tau lepton in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for the pair production of long-lived supersymmetric partners of the tau lepton in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of hadronic tau lepton decays using a deep neural network

Reference 44

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Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}\tau^+\tau^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for heavy resonances decaying into two Higgs bosons in the $\mathrm{b\bar{b}}\tau^+\tau^-$ final state in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of hadronic tau lepton decays using a deep neural network

Reference 20

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Observation 86277fa3-bda2-40ef-bf58-1a033eba90c5 · inbound

ParticleTransformer is all you need for reconstructing hadronic tau leptons cites this paper.

ParticleTransformer is all you need for reconstructing hadronic tau leptons Identification of hadronic tau lepton decays using a deep neural network

Reference 12

Resolution
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arxiv_id, observed 2026-07-03T23:59:06.639726Z

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Observation fa285e5f-3725-471b-8eb2-cc601c08f720 · inbound

ParticleTransformer is all you need for reconstructing hadronic tau leptons cites this paper.

ParticleTransformer is all you need for reconstructing hadronic tau leptons Identification of hadronic tau lepton decays using a deep neural network

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:13:49.592827Z

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Observation 8e1a0d49-e06c-48b8-8896-bf5fe3b75d48 · inbound

ParticleTransformer is all you need for reconstructing hadronic tau leptons cites this paper.

ParticleTransformer is all you need for reconstructing hadronic tau leptons Identification of hadronic tau lepton decays using a deep neural network

Reference 12

Resolution
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Source-reported events for the cited work

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Observation 32856da7-bcd2-45f7-a8e0-f0cf3906a2e5 · inbound

Search for dark matter in a signature with a four-prong large-radius jet in proton-proton collisions at $\sqrt{s}$ = 13 TeV cites this paper.

Search for dark matter in a signature with a four-prong large-radius jet in proton-proton collisions at $\sqrt{s}$ = 13 TeV Identification of hadronic tau lepton decays using a deep neural network

Reference 34

Resolution
unresolved
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