Paper Citation Record · LEDGER

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware

As of 14 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.21222.

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

pith.paper-citation-record.v1
2507.21222 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:04:00.940984Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact1
verified fuzzy14
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b2c209e-6076-4a65-acea-211ba57a9934 · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:04:04.328424Z

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.

Observation f7f66377-3038-4624-8fe9-35871d7789ef · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:04:04.310931Z

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.

Observation 87359b20-a1ce-4384-96cf-16f5b73374e7 · outbound

This paper cites Dotsenko, An introduction to the theory of spin glasses and neural networks, World Scientific lecture notes in physics, Vol.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Dotsenko, An introduction to the theory of spin glasses and neural networks, World Scientific lecture notes in physics, Vol

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:04.294698Z

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.

Observation 52fd595b-0b62-49de-9006-30f438d3450f · outbound

This paper cites Neural Networks as Spin Models: From Glass to Hidden Order Through Training.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Neural Networks as Spin Models: From Glass to Hidden Order Through Training

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:58.465135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3161f29-6f09-470d-9743-8d0d02470773 · outbound

This paper cites Natural Quantization of Neural Networks.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Natural Quantization of Neural Networks

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:04:01.225606Z

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.

Observation db0b22de-befb-4365-aef6-d9028bf9b3af · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:04:04.279763Z

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.

Observation 4ac8cc11-ac9e-4e18-a933-d3824040378b · outbound

This paper cites Quantum algorithms for supervised and unsupervised machine learning.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Quantum algorithms for supervised and unsupervised machine learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:58.747151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e41f5392-8294-4e68-8e7f-a9780f22fa0c · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:04:04.263952Z

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.

Observation 9d6d8ff4-0c2c-4198-a0a1-785c14561326 · outbound

This paper cites Ciliberto, M.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Ciliberto, M

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:04.249218Z

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.

Observation 017482d4-d909-4973-93f0-a74984f354e6 · outbound

This paper cites Schuld, I.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Schuld, I

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:59.098422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 538f9856-0634-4483-9bec-47390ceb6b45 · outbound

This paper cites Biamonte, P.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Biamonte, P

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:04.223765Z

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.

Observation 3a33c086-a3e0-4b3b-bd8c-b57c81a6d783 · outbound

This paper cites Wang and J.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Wang and J

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:03.956616Z

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.

Observation f05d87f6-3317-43d5-acf9-f1be34c722e1 · outbound

This paper cites Quantum embeddings for machine learning,.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Quantum embeddings for machine learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:03.572401Z

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.

Observation 8dfba8e2-6685-4da6-b408-c5c01395137e · outbound

This paper cites Preskill, Quantum 2, 79 (2018).

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Preskill, Quantum 2, 79 (2018)

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:59.465502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2993220a-a00e-464f-bf92-03254f8fd8fa · outbound

This paper cites Abbas, D.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Abbas, D

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:03.162576Z

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.

Observation 5a8597ce-ec59-4c76-9774-086f64b35b45 · outbound

This paper cites Huang, Y.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Huang, Y

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:03.084314Z

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.

Observation 644d64ee-81b7-4c20-8625-d610a653bd03 · outbound

This paper cites Quantum-Enhanced LLM Efficient Fine Tuning.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Quantum-Enhanced LLM Efficient Fine Tuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:59.688233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e6b2e9a-063b-483b-8665-e34c985320e5 · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:04:02.909234Z

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.

Observation 1b3958a6-5e47-4569-9d75-9c94fa6c26f3 · outbound

This paper cites Quantum Convolutional Neural Networks are Effectively Classically Simulable.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Quantum Convolutional Neural Networks are Effectively Classically Simulable

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T13:03:59.842524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aefbd6a1-ddc6-4dd6-a943-ea73a99dfd9c · outbound

This paper cites Gil-Fuster, C.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Gil-Fuster, C

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:02.727051Z

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.

Observation 6d1a908a-350d-40d8-beca-fcb69ccc07f5 · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T13:04:00.025267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35a9408c-8a31-466b-b870-f043ab0af158 · outbound

This paper cites Gradient- based learning,.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Gradient- based learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:02.543346Z

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.

Observation c30f23a9-5e52-48d8-a7e2-950c6f284b7d · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T13:04:00.174181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d97009-d70f-49c9-bf49-0f3239930a7c · outbound

This paper cites Courbariaux, Y.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Courbariaux, Y

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:02.342149Z

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.

Observation ae9ca503-e3b2-4b15-9bc3-b768cbcfae3b · outbound

This paper cites NIST special database 19: Handprinted forms and charac- ters database,.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware NIST special database 19: Handprinted forms and charac- ters database,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:02.141041Z

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.

Observation 92e6d9b5-8f6e-46c3-9e67-81365768b7f3 · outbound

This paper cites Blais, R.-S.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Blais, R.-S

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T13:04:00.373018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0527543c-0ead-4eb7-97ef-1d5ac3bbeea4 · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T13:04:00.439788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd8a8470-92e8-46eb-a022-0875ec0adddc · outbound

This paper cites Natural quantization of neural net- works,.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Natural quantization of neural net- works,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:01.960894Z

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.

Observation 21e359b6-e071-4573-9a33-0e4f2b6bfba2 · outbound

This paper cites Natural-Quantization: A hybrid classical–quantum neural network frame- work,.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Natural-Quantization: A hybrid classical–quantum neural network frame- work,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:01.774247Z

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.

Observation 2d286432-db97-4a26-90fb-4d175b4cb2d8 · outbound

This paper cites Debnath, N.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Debnath, N

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T13:04:00.698922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 660e394a-52b7-4837-b69d-2790be92e1de · outbound

This paper cites an unresolved cited work.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:04:01.582138Z

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.

Observation 4b2ed366-6d1b-40d0-8fed-4b9330d7a5c7 · outbound

This paper cites Tomesh, P.

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware Tomesh, P

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:04:01.389535Z

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.

Pith citing papers

No inbound Pith citation observations are available.