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Paper Citation Record · LEDGER

Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2501.16986.

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

pith.paper-citation-record.v1
2501.16986 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:16:31.488806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T22:21:52.869087Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2e32d71a-78d3-409c-902d-f6f6bee02015 · inbound

Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN cites this paper.

Explicit Solution Equation for Every Combinatorial Problem via Tensor Networks: MeLoCoToN Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T17:16:31.488806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T17:16:31.488806Z digest=sha256:ffb7927daff7b227ae85eada545d09f00f21c44fe1ce09811751424e373c277b

Observation 1369a060-ec1c-4e8e-a550-0580d50ca62e · inbound

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute cites this paper.

The Role of Quantum Computing in Advancing Scientific High-Performance Computing: A perspective from the ADAC Institute Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-18T22:21:52.871702Z

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=2026-05-18T22:19:39.677935Z digest=sha256:1670e1a18cd03cf813d99a658ecc1d013977834743d4d38c5be3137682010fa0

Observation 1f860628-49cf-4ce3-b5ca-097eadbe8572 · inbound

Artificial intelligence for representing and characterizing quantum systems cites this paper.

Artificial intelligence for representing and characterizing quantum systems Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-05T05:50:39.436032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:50:39.436032Z digest=sha256:82852a0356b0360e22553ed3b85d75f8db9e2c7a36555cb120208502a621dcb1

Observation 48a41934-42ef-4727-9fc7-971db2c78ab7 · inbound

Generative quantum eigensolver with constrained circuit-cutting overhead cites this paper.

Generative quantum eigensolver with constrained circuit-cutting overhead Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T18:31:44.086098Z

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=2026-05-18T18:30:59.240631Z digest=sha256:6c4418e36273906026776517128efb2791d41c3cc4737bf3ed92031e1402b0f6

Observation ad34dcee-e225-46ed-8058-e28fd883e13f · inbound

Identification of quantum generative circuits with parallel quantum neural network cites this paper.

Identification of quantum generative circuits with parallel quantum neural network Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T17:26:22.258947Z

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=2026-05-15T17:23:50.857556Z digest=sha256:28281d079938f47476a28a8a2428d72df6b5221b925ec62881f3d652954d21fe

Observation 7788b2e0-d1a8-439b-b1f3-315cd34f7263 · inbound

Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management cites this paper.

Hybrid Quantum-HPC Middleware Systems for Adaptive Resource, Workload and Task Management Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:53:08.408083Z

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=2026-05-13T18:48:58.904350Z digest=sha256:6a06e5de7df5bcb7bbb5ae814b9b6155f0558a21592edfc3c6a579849b833e15

Observation 1a807fdf-8f81-40df-a9c3-b400b8abfa6d · inbound

Performance Model for Hybrid Quantum-Classical Workflows cites this paper.

Performance Model for Hybrid Quantum-Classical Workflows Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T23:28:57.755711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:28:57.755711Z digest=sha256:afb8898d53e7ecb978d7ce4effe09e0f79bf6fe675c02526f21942c0d1c98f0b

Observation 0cd2cd7f-8abd-4781-8af5-f5141af43fec · inbound

Learning to Prepare Molecular Ground States with Transformer Models cites this paper.

Learning to Prepare Molecular Ground States with Transformer Models Generative quantum combinatorial optimization by means of a novel conditional generative quantum eigensolver

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-01T04:45:21.539145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:45:21.539145Z digest=sha256:c49cf202ed2ade614a132fa1bf550d2658d6041d4d3380aca0f96149ce7ef5ad