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Paper Citation Record · LEDGER

Integrating Machine Learning and Quantum Circuits for Proton Affinity Predictions

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:51:23.293480Z digest=sha256:1b552a9260d3d12b0d2cf647e9e30071d676279e47952a05d391207c407bec5b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:51:23.297293Z digest=sha256:5b4398f1edbe68db6971cb4c88afc0a0dbde0c748147bdefca2e113443c194c4

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-12T11:51:23.300534Z digest=sha256:6dda254560fc6b9fb90b146215af2519099986c0293826ef6b0bd4163abe54f7

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=sha256:79308c034629c2e746abd431a16705409002d342d1aae34b2bdc869a885742ff

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=sha256:5ccca1eae13a48931c61ac42d9f39ce6d45614eab994e204378c07c388d361f8

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-09T16:30:40.398252Z digest=sha256:56d3d03517305866e2aad9d828912f196fa51cad8602832795558698a97dce55