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Paper Citation Record · LEDGER

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network

As of 4 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2607.14293.

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

pith.paper-citation-record.v1
2607.14293 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:37:20.035571Z

measured 40 of 40 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

40 of 40 outbound references displayed

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  • verified fuzzy0
  • unresolved35
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  • malformed identifier2
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 56c7a85e-c708-484e-b1ea-5729af5c4659 · outbound

This paper cites Quantum sensing with tunable superconducting qubits: optimization and speed-up.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Quantum sensing with tunable superconducting qubits: optimization and speed-up

Reference 1

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source=pdf_text observed=2026-08-02T02:37:15.500881Z digest=sha256:16f3f9a9268bbfd5ffdb07a55480fe460e504944908a828b2caea9bd302ce362

Observation 14c86566-8f2f-4952-87c0-404d900a57eb · outbound

This paper cites Bonomoet al., First operation of superconducting quantum bits as particle detectors, PoS14YRM2025, 001 (2026).

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Bonomoet al., First operation of superconducting quantum bits as particle detectors, PoS14YRM2025, 001 (2026)

Reference 2

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source=pdf_text observed=2026-08-02T02:37:15.586218Z digest=sha256:3a70c4ce11d2ef771d10698af3044d069b98f8eab381ba9223984ba750030c38

Observation 16db0ac1-4bd0-484c-befd-90072858906c · outbound

This paper cites Ramanathan, B.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Ramanathan, B

Reference 3

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Observation aa8a4c4c-2905-47b1-bc10-f2ac31ee88d1 · outbound

This paper cites an unresolved cited work.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T02:37:15.749694Z digest=sha256:4c2732f4bc5cadecc0ea7d2d3cfa637317a3c5ba523b5b35db1dbfc8de32021f

Observation b31b6e0b-887a-4b38-9c81-06b9b7cff07a · outbound

This paper cites an unresolved cited work.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T02:37:15.841472Z digest=sha256:3ee123c7b1e7464a255e63af440133b61ee545a8461a847faa543061143ca31b

Observation 6cf3ca68-929d-442f-97d7-9af58aebe4b8 · outbound

This paper cites Linehan, I.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Linehan, I

Reference 6

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source=pdf_text observed=2026-08-02T02:37:15.953283Z digest=sha256:35d9670c5c8b641759fcd132023d5cd17f429fd2cad20cc54214729d7a1cf5f0

Observation a100cb70-dbe2-473d-a0e5-4833288afcb8 · outbound

This paper cites Listening For New Physics With Quantum Acoustics.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Listening For New Physics With Quantum Acoustics

Reference 7

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source=pdf_text observed=2026-08-02T02:37:16.066597Z digest=sha256:824d06d32ca10505cbfb1ad0006f36fc84786b6a7ee73fbf0efd6ded67d9e532

Observation 28be3ebb-d33e-424a-8994-17b083f26c57 · outbound

This paper cites Measuring quasiparticle dynamics for particle impact reconstruction in a superconducting qubit chip.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Measuring quasiparticle dynamics for particle impact reconstruction in a superconducting qubit chip

Reference 8

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source=pdf_text observed=2026-08-02T02:37:16.178252Z digest=sha256:4f1abefdc6ac61346e2c9969d6905c05bcecb1d1d79d3fb423eb9f15153a0f0a

Observation 00f86e18-cf4a-4bbc-a239-75c0858ee3ee · outbound

This paper cites Disentangling the sources of ionizing radiation in superconducting qubits.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Disentangling the sources of ionizing radiation in superconducting qubits

Reference 9

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source=pdf_text observed=2026-08-02T02:37:16.283666Z digest=sha256:e8909f22c9f7b5834682693110d0a73568fcd314819713a74054ca188d8ff94f

Observation 0b3b7bbd-18a5-4d0f-b76f-90decc0f3329 · outbound

This paper cites Correlated Charge Noise and Relaxation Errors in Superconducting Qubits.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Correlated Charge Noise and Relaxation Errors in Superconducting Qubits

Reference 10

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source=pdf_text observed=2026-08-02T02:37:16.387204Z digest=sha256:5cded6e4f433c8885c597e863a5b140aa0ab9fdaee1eb3de96b5918ce0195ede

Observation d2bfc661-cc96-40c4-93ea-7b6ddde192d7 · outbound

This paper cites Thorbeck, A.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Thorbeck, A

Reference 11

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source=pdf_text observed=2026-08-02T02:37:16.460797Z digest=sha256:295f3aa4d0beb6a0ec1493326dd9d9c1ec40fc08b797c31064453d0f6d31a82a

Observation 5e812957-0992-44ef-883f-721a979e7b4e · outbound

This paper cites an unresolved cited work.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-02T02:37:16.525030Z digest=sha256:23fa6568f9559df3dda7a9ba1685559a195f9a6f01974f0f6f4746edc5b9dd79

Observation 8f1a9d99-e94c-4f93-a274-c8e2a33fc732 · outbound

This paper cites Weinberg, A Model of Leptons, Phys.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Weinberg, A Model of Leptons, Phys

Reference 13

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source=pdf_text observed=2026-08-02T02:37:16.592623Z digest=sha256:a4fac570bfe52b196cd0182a05f837aac3a915856c2fdd7e1f721eca92c8e141

Observation dd3468b3-5393-402d-8697-f29bc1078a96 · outbound

This paper cites an unresolved cited work.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-02T02:37:16.663093Z digest=sha256:a215a09d4ddeb4c45ef2dc54147d0de475fe599b3608137d2ac9b622842a1998

Observation 250bd233-5d5f-4324-8d36-73b27adc5434 · outbound

This paper cites Gell-Mann, A schematic model of baryons and mesons, Phys.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Gell-Mann, A schematic model of baryons and mesons, Phys

Reference 15

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source=pdf_text observed=2026-08-02T02:37:16.725874Z digest=sha256:97d7b0fa53b6835b515816a5d59ece7db266a45a3a27acd63ff98fdf8fa8395b

Observation e892a14f-c3da-4e04-b9c0-37f8e95cd7e5 · outbound

This paper cites Zweig, An SU(3) model for strong interaction symme- try and its breaking.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Zweig, An SU(3) model for strong interaction symme- try and its breaking

Reference 16

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source=pdf_text observed=2026-08-02T02:37:16.784154Z digest=sha256:5678667f4bfe6308cb66ff4c6b1b15f9b83bf474d69f16a085fe416710f84a7f

Observation b89939bf-b40f-4e31-a2c0-9c59b720656f · outbound

This paper cites First Measurement of Correlated Charge Noise in Superconducting Qubits at an Underground Facility.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network First Measurement of Correlated Charge Noise in Superconducting Qubits at an Underground Facility

Reference 17

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source=pdf_text observed=2026-08-02T02:37:16.855529Z digest=sha256:5d661c62ce065d2d4c62659005761234d1f7f7216e323242c1f37062962f9325

Observation 00500a3f-3ec4-428b-b460-700b994387b8 · outbound

This paper cites Krizhevsky, I.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Krizhevsky, I

Reference 18

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source=pdf_text observed=2026-08-02T02:37:16.951225Z digest=sha256:c24d27e40f5114caa6050e096418f2a5afa566bb86daa7539271703c5ab6e187

Observation a6272162-0b8f-46e1-a84d-3c8f2ca957fb · outbound

This paper cites Dinget al.(QICK), Experimental advances with the QICK (Quantum Instrumentation Control Kit) for super- conducting quantum hardware, Phys.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Dinget al.(QICK), Experimental advances with the QICK (Quantum Instrumentation Control Kit) for super- conducting quantum hardware, Phys

Reference 19

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source=pdf_text observed=2026-08-02T02:37:17.049323Z digest=sha256:c88360b84f5fcc4d5fe3fd63b2d46213c86acfa63d1806e7dd4ab6402890eea8

Observation f6310275-a98b-4f03-811a-d4f337c48e07 · outbound

This paper cites End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network End-to-end workflow for machine learning-based qubit readout with QICK and hls4ml

Reference 20

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source=pdf_text observed=2026-08-02T02:37:17.118222Z digest=sha256:c134497031582bfe97e4c73207f8ce5c0f437ab15845d4fc3334a6cb8ebd8d3b

Observation 18b6608b-3bd7-4c98-82b3-db5135853c66 · outbound

This paper cites Deep Neural Network Discrimination of Multiplexed Superconducting Qubit States.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Deep Neural Network Discrimination of Multiplexed Superconducting Qubit States

Reference 21

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source=pdf_text observed=2026-08-02T02:37:17.214548Z digest=sha256:1f77d8a3b73b893695673e91bd5025fb88cbbb08a380a94937d057d6c7296efd

Observation 983fe70a-06a2-4358-8b10-c281b8a42f57 · outbound

This paper cites Navarathna, T.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Navarathna, T

Reference 22

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source=pdf_text observed=2026-08-02T02:37:17.371589Z digest=sha256:924f31c724ccda1c0aa71bb4e516f3fa9becf76f3784dd6789ae5384369fa12f

Observation f070501b-ef17-4749-ae24-fe22eeddd4bd · outbound

This paper cites Real-time Inference with 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-rate Particle Imaging Detectors.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Real-time Inference with 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-rate Particle Imaging Detectors

Reference 23

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Observation 08309d75-9b2e-481b-ace4-0714406522ce · outbound

This paper cites an unresolved cited work.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-02T02:37:17.690484Z digest=sha256:d6a4875c8c977d0930d3020d781c5ac11230891c8c8812569feaa39f62b57ea8

Observation f052ed3e-3689-44d7-96ab-36fe1ade1d81 · outbound

This paper cites Automatic Charge State Tuning of 300 mm FDSOI Quantum Dots Using Neural Network Segmentation of Charge Stability Diagram.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Automatic Charge State Tuning of 300 mm FDSOI Quantum Dots Using Neural Network Segmentation of Charge Stability Diagram

Reference 25

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Observation ec2849dc-e7a5-405b-b12a-5027f2f3b4df · outbound

This paper cites An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Reference 26

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Observation e83cd2dd-6ec4-41e2-bf50-8c102edb2c34 · outbound

This paper cites Cholletet al., Keras,https://keras.io(2015).

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Cholletet al., Keras,https://keras.io(2015)

Reference 27

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Observation c5b34343-138a-4942-9987-9b781549c314 · outbound

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Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 28

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Observation 0612df42-db9c-4794-9b00-caf8781b8291 · outbound

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Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-02T02:37:18.624344Z digest=sha256:c8bc2f4a27d489dd04528f1f00b10116816ca353698d1b18e4e962aff9e74223

Observation c53f0398-721e-47a3-a406-d0c934fd7a20 · outbound

This paper cites Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Reference 30

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Observation 2d7abea8-94fa-4672-8c7b-5986013a2692 · outbound

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Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 31

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Observation be693dbc-2cc7-4399-8a90-83c36eafd9ff · outbound

This paper cites an unresolved cited work.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-02T02:37:19.002092Z digest=sha256:10f962e8676b6efed0bd1c273365ed0521f119cca8f4f2a35405af3f28c5d8e0

Observation b912257d-13d1-4313-95da-a4f3822a1983 · outbound

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Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 33

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Observation a854eaa2-3ac2-4503-9972-d5132eb03db7 · outbound

This paper cites an unresolved cited work.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 34

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Observation 048808e1-e47e-453c-bb41-753ff956ede3 · outbound

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Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-02T02:37:19.357721Z digest=sha256:53b332e2611bb5729cc132507f0a9bfe12f1de99670325f85ce2444c57a2d55a

Observation 9a20879a-4254-4d4c-b993-9a7e05a960e7 · outbound

This paper cites The QICK (Quantum Instrumentation Control Kit): Readout and control for qubits and detectors.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network The QICK (Quantum Instrumentation Control Kit): Readout and control for qubits and detectors

Reference 36

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Observation 403a246c-9348-4db3-820a-0c582e2c3190 · outbound

This paper cites Fast inference of deep neural networks in FPGAs for particle physics.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Fast inference of deep neural networks in FPGAs for particle physics

Reference 37

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source=pdf_text observed=2026-08-02T02:37:19.731794Z digest=sha256:b9d7fd48e15ee05ef0bfd8d0fa31321eeb8be0c36560a851f24d417d3c8c1363

Observation 19c0f3a7-2f27-44e9-979e-da8f07d2e992 · outbound

This paper cites Krantz, M.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network Krantz, M

Reference 38

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no resolver link, observed 2026-08-02T02:37:19.850895Z

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source=pdf_text observed=2026-08-02T02:37:19.850895Z digest=sha256:3e25f0504b0161512129f59475cf273fc8baa332076b4fe8ec8ff105e5dc2718

Observation 26402ff6-7830-440a-aefd-433ff7a8bc1a · outbound

This paper cites (2017), ver- sion 4.0.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network (2017), ver- sion 4.0

Reference 39

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no resolver link, observed 2026-08-02T02:37:19.942952Z

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source=pdf_text observed=2026-08-02T02:37:19.942952Z digest=sha256:dcbdda2cba8e62056b3bb42aed43ec86a97d05e271badba0636d7db70d56f459

Observation f858ed7a-3f5d-401c-8ae8-0ba36290a1ac · outbound

This paper cites (2011), aRM IHI 0022E.

Real-Time Detection of Charge Jumps in Superconducting Qubits with a Convolutional Neural Network (2011), aRM IHI 0022E

Reference 40

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no resolver link, observed 2026-08-02T02:37:20.035571Z

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source=pdf_text observed=2026-08-02T02:37:20.035571Z digest=sha256:ac9b458326bb7b00176ed3cdd2e9e2107d1bf90624b1a204f944f12c01b7b050

Pith citing papers

No inbound Pith citation observations are available.