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Paper Citation Record · LEDGER

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics

As of 14 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1909.01144.

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

pith.paper-citation-record.v1
1909.01144 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

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External citation measurements

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Outbound references

Observation 8c419c86-6101-4b72-96cc-5a5154b7fc9b · outbound

This paper cites Top quark physics at hadron colliders,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics Top quark physics at hadron colliders,

Reference 1

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Observation 43b265df-0829-4b24-9731-5ab079882ddb · outbound

This paper cites A likelihood-based reconstruction algorithm for top-quark pairs and the KLFitter framework,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics A likelihood-based reconstruction algorithm for top-quark pairs and the KLFitter framework,

Reference 2

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Observation 23a6ef3e-8911-4833-b8d8-2c1027644e7e · outbound

This paper cites Study of methods of resolved top quark reconstruction in semileptonict¯t decay,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics Study of methods of resolved top quark reconstruction in semileptonict¯t decay,

Reference 3

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Observation 37fd0768-10b5-4791-b2d0-287d1515c031 · outbound

This paper cites Top quark mass measurement using the template method in the lepton + jets channel at CDF II,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics Top quark mass measurement using the template method in the lepton + jets channel at CDF II,

Reference 4

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Observation 09027209-96d0-4d22-bc86-2a477c6a17a2 · outbound

This paper cites The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations,

Reference 5

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Observation ee77171e-f830-4602-8feb-291e0dd87569 · outbound

This paper cites An Introduction to PYTHIA 8.2,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics An Introduction to PYTHIA 8.2,

Reference 6

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Observation 7f0b4f5d-7739-4a89-aa6f-60094d617d73 · outbound

This paper cites A New approach to multijet calculations in hadron collisions,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics A New approach to multijet calculations in hadron collisions,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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Observation 0762a15a-22d5-449a-9e83-e4658c773e8d · outbound

This paper cites The anti-kt jet clustering algorithm,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics The anti-kt jet clustering algorithm,

Reference 8

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Observation 048101f8-a442-4b7e-ae05-ccd4e5301914 · outbound

This paper cites FastJet User Manual,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics FastJet User Manual,

Reference 9

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Observation bc95f092-280f-43e8-8c2e-96f2d1586c00 · outbound

This paper cites Cholletet al., “Keras,” https://keras.io, 2015.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics Cholletet al., “Keras,” https://keras.io, 2015

Reference 10

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Observation d4af774f-00f6-4fde-b722-dc27e14a84e8 · outbound

This paper cites TensorFlow: Large-scale machine learning on heterogeneous systems,.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics TensorFlow: Large-scale machine learning on heterogeneous systems,

Reference 11

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Observation 469b80c9-3826-4928-80e7-f54d5d64e145 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics Adam: A Method for Stochastic Optimization

Reference 12

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Observation 4c463384-7463-4d98-9ccb-a1c04eb663a9 · outbound

This paper cites Making a Science of Model Search.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics Making a Science of Model Search

Reference 13

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Observation b486aff8-99c9-42ca-ac4f-99916f597ed2 · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

Bidirectional Long Short-Term Memory (BLSTM) neural networks for reconstruction of top-quark pair decay kinematics Tune: A Research Platform for Distributed Model Selection and Training

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

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