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Paper Citation Record · LEDGER

A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.13411.

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

pith.paper-citation-record.v1
1810.13411 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:03:48.339816Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

46
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3ceaae3f-1f80-43d0-85ef-eb9d47af38ba · inbound

Learning to learn with quantum neural networks via classical neural networks cites this paper.

Learning to learn with quantum neural networks via classical neural networks A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-05-24T23:00:03.112722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T22:59:51.101448Z digest=sha256:6fbe290467f286d95aa113310f2674795d8ba3218bac6114062347cf35ff5381

Observation b2f9aac7-ad68-478a-b046-49e8bdc0cab5 · inbound

Designing lattice proteins with variational quantum algorithms cites this paper.

Designing lattice proteins with variational quantum algorithms A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T05:03:48.339816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:03:48.339816Z digest=sha256:1e52e4fd558cdf06542b0381ce088a7946953d97d3ea897047b32cf59d3cf486

Observation 79af2801-6f7d-46c8-b775-e1ce1727fc69 · inbound

Penalty-free quantum optimization applied to lattice protein folding cites this paper.

Penalty-free quantum optimization applied to lattice protein folding A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-06-28T14:42:17.947646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T14:35:52.228340Z digest=sha256:e17f8c0fa29e9e61ac5fde2825b95d2bc1c31f4d4286207b3e5af1e90bdc8379

Observation 8f27bcc0-4682-4799-84d4-49381ac399cc · inbound

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE cites this paper.

Graph-VQE: A CUDA-Q Multi-QPU Simulation Framework for Hamiltonian-Aware Protein-Folding VQE A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding

Reference 36

Resolution
unresolved
no resolver link, observed 2026-07-12T07:18:17.584472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T07:18:17.584472Z digest=sha256:1526230df90b4e84c02b19e6b898779292cd022dcac381c2ebdc394f8702f26f

Observation e478eedf-5b26-4d5f-9902-626425900f04 · inbound

QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction cites this paper.

QFoldAgent: An Autonomous Quantum Optimization Multi-Agent System for Protein Structure Prediction A quantum alternating operator ansatz with hard and soft constraints for lattice protein folding

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-02T14:22:09.661159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:22:09.661159Z digest=sha256:c79cce6a74db3d1794f23808e0b384ce0f9081eb5197f93c556cd15ed43f4325