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Paper Citation Record · LEDGER

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation

As of 4 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2603.28413.

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

pith.paper-citation-record.v1
2603.28413 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-14T21:53:32.228752Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

15 of 15 outbound references displayed

  • verified exact5
  • verified fuzzy6
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f9f7369-e083-441f-bced-b74446d72a2a · outbound

This paper cites an unresolved cited work.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-05-14T23:09:36.721520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:39a70ab57aa11b2c2a5286040d13bc9a6fd335d84fc5466dbe5d95601a6f2f69

Observation b1e3a602-c70a-488c-8b3d-16a837404346 · outbound

This paper cites an unresolved cited work.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-14T23:09:36.690498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:ae5c9d7f8917b28efe118331a2691d261b188ebe3028685450f20a4281cdb6f3

Observation df34b3c6-8d6a-4d41-8932-286517a05387 · outbound

This paper cites how to estimate the expectation value more accurately.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation how to estimate the expectation value more accurately

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:09:36.704394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:ff5732665c2d5e99efd0b64d051d8e37d1ac5cb4677f475bb093cb8dbec0fbcc

Observation 39d74851-3392-48b2-90e4-9a9310481949 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation A Quantum Approximate Optimization Algorithm

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-05-14T21:58:03.796580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:fbca2744496b648783627830951ca9a80d8c6f506058b9e4663e23b13b79f13c

Observation b9045c2f-27e1-4f02-ab1d-b6cfb28ad4a3 · outbound

This paper cites Blekos, D.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Blekos, D

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:09:36.708886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:75c5f86766d9dee788b63922d8d515172744103aad0705cd112f201750ce3171

Observation 8759ff45-bf22-4881-8b16-cf624d7877e0 · outbound

This paper cites Tilly, H.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Tilly, H

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:09:36.717517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:8b60ef527400f8142689fc8be69affcc2be5c906d021550f6563a2157088199b

Observation 899c809c-fc12-4428-b565-b9c0d442e0f9 · outbound

This paper cites Bittel and M.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Bittel and M

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:09:36.713650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:328ce06c3e4b4db9f2d0fa65e4069c259fa3e4ffb1d7c1932bac3b6b1541ef28

Observation 9f36b933-a89f-4a41-aab5-e7f30af1acb0 · outbound

This paper cites an unresolved cited work.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-14T23:09:36.694498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:07cee7ddff723aba7edfeb731f87be11d4e4f2b4ec83d5da52c26ce8ee212e64

Observation 734a729a-ee35-4514-88fa-41e4fc773a32 · outbound

This paper cites Larkin, M.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Larkin, M

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:09:36.699374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:c0ed655f6a5a09b9964213c3d70eaefa76a1e7021892974e46d49ebc360c98ed

Observation 3d6321ff-761b-4d78-aacc-8faf1c7099a6 · outbound

This paper cites Fern´ andez-Pend´ as, E.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Fern´ andez-Pend´ as, E

Reference 10

Resolution
verified exact
doi, observed 2026-05-14T21:58:02.724385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:9b5faeba84befbb8e4ae1f79b20e603e7176de0d283938960ed787a3be6baaab

Observation 2cf89716-3de6-4170-888e-5ad729628b76 · outbound

This paper cites Cluster Computing 6(3), 215–226 (Jul 2003), https://doi.org/10.1023/A: 1023588520138.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Cluster Computing 6(3), 215–226 (Jul 2003), https://doi.org/10.1023/A: 1023588520138

Reference 11

Resolution
malformed identifier
doi_truncated, observed 2026-05-14T21:58:02.729275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:8c7c7a29974ea79f5e6a7673525853d67692b8ed4196fedd4d284ce6e6bf8208

Observation 4377bbba-428d-476c-af7d-ad0b8cff4744 · outbound

This paper cites Tibaldi, D.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Tibaldi, D

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-14T23:09:36.726242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:2c2d57a13d45b2a631394d63f69773da2db1243dcc366a08ca4e26d6bee9487c

Observation 28ec9ab5-19d5-488a-83a9-30284079d52f · outbound

This paper cites Sweke, F.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Sweke, F

Reference 13

Resolution
verified exact
doi, observed 2026-05-14T21:58:02.733676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:7f1274224be3d72e4570be1950724bcab54757460f19560bf29d2fa307fe444a

Observation a973adfe-5752-431d-8db8-43016b7dd913 · outbound

This paper cites Adaptive shot allocation for fast convergence in variational quantum algorithms.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation Adaptive shot allocation for fast convergence in variational quantum algorithms

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:58:03.802348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:a977542f8600890a652db0e11524a8cec92b1a2ee0ad1302ed0d1ccec1ecc6b8

Observation bf69120b-5c6c-499f-bd00-c5a2e080db87 · outbound

This paper cites MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework.

Resource-efficient quantum approximate optimization algorithm via Bayesian optimization and maximum-probability evaluation MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:58:03.808706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-14T21:53:32.228752Z digest=sha256:3e390ee55582e5fe64302ec040f4e456f0c309fd7c10ce08f7b3514d6f385e2b

Pith citing papers

No inbound Pith citation observations are available.