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Paper Citation Record · LEDGER

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions

As of 13 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2411.17856.

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

pith.paper-citation-record.v1
2411.17856 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:51:23.308518Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:30:40.398252Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-09T16:30:40.769066Z

Reference resolution

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy2
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9b30bc1a-1cca-496b-a62c-9618dade09e7 · outbound

This paper cites H.; Bowers, M.

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions H.; Bowers, M

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:51:23.373317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:51:23.293480Z digest=sha256:7e6a927be77a87f793cb85a50ae6c1cf49a4e771d7af7f88123ebb7ec6777d92

Observation 3c76cc5b-ec09-43f8-baa4-8f3717a4f27b · outbound

This paper cites A.; Jones, C.; Trucks, G.

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions A.; Jones, C.; Trucks, G

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T11:51:23.364470Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:51:23.297293Z digest=sha256:227f57e0a2cf0a4876abc7e2ea9adda1855b0b706199e7448887794a96d4fc09

Observation 9ac26a3a-1c5c-4fe3-be35-53449db21033 · outbound

This paper cites an unresolved cited work.

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-12T11:51:23.354178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T11:51:23.300534Z digest=sha256:5a220689467a25a4c0f686f07e1743220ec0bb8f958a52ffb55b67404bdff777

Observation cd75b796-5b50-40e4-b138-202e97848fb4 · outbound

This paper cites Hybrid Quantum Graph Neural Network for Molecular Property Prediction.

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions Hybrid Quantum Graph Neural Network for Molecular Property Prediction

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-12T11:51:23.303721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:51:23.303721Z digest=sha256:538ddb3553c724dbfd2c5be2d468864d74e898aeb1ac230497d7b8fb9370bd61

Observation 7f69aedf-ca91-4db6-86ce-7746e8c59348 · outbound

This paper cites Quantum computing with Qiskit.

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions Quantum computing with Qiskit

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T11:51:23.308518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:51:23.308518Z digest=sha256:02a9b08f219a715fdf79981a55ea98b1085b30ba58e00d8d2fddbee323227a30

Pith citing papers

Observation e0dfebfe-b49a-4d2d-b57f-c9e6394cd94f · inbound

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers cites this paper.

Quantum Machine Learning: A Hands-on Tutorial for Machine Learning Practitioners and Researchers Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions

Reference 269

Resolution
verified exact
local_arxiv, observed 2026-08-09T16:30:40.772802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T16:30:40.398252Z digest=sha256:0963c4b8e5dbcce4f09284ee322954813092dac888567e5cf836f758d76d4250