Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:35:45.671221Z
Paper Citation Record · LEDGER
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives
As of 15 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2501.04448.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
24 of 24 outbound references displayed
- verified exact7
- verified fuzzy17
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 5fd3d426-e6a7-4dee-b737-cd2bb7218698 · outbound
This paper cites 2020 Update of the European Strategy for Particle Physics.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives 2020 Update of the European Strategy for Particle Physics
Reference 1
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T21:35:46.265453Z
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 ff5fee58-1e8f-4f57-a4b4-06aea835af3f · outbound
This paper cites Reporting results in High Energy Physics publications: A manifesto.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Reporting results in High Energy Physics publications: A manifesto
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.493885Z
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 385cab7f-ee02-4234-a8a4-f479ed0d2ade · outbound
This paper cites Toward the end-to-end optimization of particle physics instruments with differentiable programming.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Toward the end-to-end optimization of particle physics instruments with differentiable programming
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.480965Z
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 5e47585f-2e3e-4eda-b826-75523ff7b6bf · outbound
This paper cites The Nature of Statistical Learning Theory.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives The Nature of Statistical Learning Theory
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.467220Z
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 28bd816e-7502-4848-85ed-3674914cc837 · outbound
This paper cites Mathematics of Deep Learning.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Mathematics of Deep Learning
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T21:35:46.117892Z
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 bb38aea7-4bfb-486f-8d00-8892d79040d1 · outbound
This paper cites Evaluating Derivatives.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Evaluating Derivatives
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.453407Z
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 fea21bf6-d50b-4dc8-933c-5b22052f31ae · outbound
This paper cites A Logical Calculus of Ideas Immanent in Nervous Activity.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives A Logical Calculus of Ideas Immanent in Nervous Activity
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.441255Z
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 a71cd77b-9fef-4e7d-9220-2ef32419061a · outbound
This paper cites DeepLearningestmort.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives DeepLearningestmort
Reference 8
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T21:35:46.101750Z
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 ac5e0a85-2b3a-40d2-ab8f-49b0a1ef07b6 · outbound
This paper cites Making the world differentiable: on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environ- ments.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Making the world differentiable: on using self supervised fully recurrent neural networks for dynamic reinforcement learning and planning in non-stationary environ- ments
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.426277Z
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 db285335-f926-4f6d-b7ab-95a5f72f1877 · outbound
This paper cites Amethodforapproximatingoptimalstatisticalsignificanceswithmachine- learned likelihoods.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Amethodforapproximatingoptimalstatisticalsignificanceswithmachine- learned likelihoods
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.411578Z
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 15516bae-ca97-4911-8d74-f07cbc451212 · outbound
This paper cites MeasurementofCPasymmetriesandbranchingfractionsincharm- less two-body B-meson decays to pions and kaons.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives MeasurementofCPasymmetriesandbranchingfractionsincharm- less two-body B-meson decays to pions and kaons
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.395632Z
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 2c7881ae-ca20-41b6-96b0-ed43bdca41bd · outbound
This paper cites Search for 𝑡𝑡𝐻 production in the 𝐻 → 𝑏𝑏 decay chan- nel with √𝑠 = 13 TeV pp collisions at the CMS experiment.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Search for 𝑡𝑡𝐻 production in the 𝐻 → 𝑏𝑏 decay chan- nel with √𝑠 = 13 TeV pp collisions at the CMS experiment
Reference 12
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T21:35:46.017470Z
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 6cf8920c-2bb8-4dde-b516-5a28df323f8a · outbound
This paper cites Machine Learning and Differentiable Programming for Statistics at the LHC.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Machine Learning and Differentiable Programming for Statistics at the LHC
Reference 13
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T21:35:45.922610Z
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 3389c7be-ea5c-4dd0-bb82-be888550b8a3 · outbound
This paper cites UnveilingtheStructureofWideFlatMinimainNeuralNetworks.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives UnveilingtheStructureofWideFlatMinimainNeuralNetworks
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.382447Z
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 72aeddf3-86fd-42ed-beeb-17e0d9837533 · outbound
This paper cites TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.369162Z
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 e2c17b19-f2f8-4ea5-a5ee-30b2c870725d · outbound
This paper cites Automatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readout.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Automatic Optimization of a Parallel-Plate Avalanche Counter with Optical Readout
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.357070Z
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 6b3bb463-7ae7-4061-9ed7-d45fd2d1e281 · outbound
This paper cites End-To-End Optimization of the Layout of a Gamma Ray Observatory.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives End-To-End Optimization of the Layout of a Gamma Ray Observatory
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.339098Z
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 ff49144a-19ae-4e02-978a-868b261af53e · outbound
This paper cites Modelling the neurons of the electrosensory lobe in Gym- notus omarorum with differentiable programming.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Modelling the neurons of the electrosensory lobe in Gym- notus omarorum with differentiable programming
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-10T21:35:45.706664Z
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 a379f641-407d-4e7e-acd7-5c27e678fa18 · outbound
This paper cites Nat Commun 15, 3392 (2024).
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Nat Commun 15, 3392 (2024)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.327768Z
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 cc921866-fef6-4fbc-a176-e8d4c00496d2 · outbound
This paper cites Neuromorphic Readout For Homogeneous Hadron Calorimeters.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Neuromorphic Readout For Homogeneous Hadron Calorimeters
Reference 20
- Resolution
- verified exact
- raw_fallback, observed 2026-08-10T21:35:45.840039Z
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 1a38e1b3-ec80-4ca5-b9e4-e74bfb4a1720 · outbound
This paper cites Enhanced low-energy supernova burst detection in large liquid argon time projection chambers enabled by Q-Pix.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Enhanced low-energy supernova burst detection in large liquid argon time projection chambers enabled by Q-Pix
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.314598Z
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 6637e28d-be92-45ff-aa1d-2b215a13c9d9 · outbound
This paper cites MachineLearningwithQuantumComputers.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives MachineLearningwithQuantumComputers
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.302026Z
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 f08a542e-eaea-49a5-beac-dbb7c0df2713 · outbound
This paper cites Event Classification with Quantum Machine Learning in High-Energy Physics.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Event Classification with Quantum Machine Learning in High-Energy Physics
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.289142Z
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 23b9997d-1eed-4852-b426-abe14e9350cf · outbound
This paper cites Sentiment Analysis with QuantumNaturalLanguageProcessing.
AI-assisted design of experiments at the frontiers of computation: methods and new perspectives Sentiment Analysis with QuantumNaturalLanguageProcessing
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-10T21:35:46.276529Z
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.
Pith citing papers
No inbound Pith citation observations are available.