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Paper Citation Record · LEDGER

Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.01563.

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

pith.paper-citation-record.v1
2310.01563 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 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:40:44.055707Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:17:03.997153Z

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 39d30985-ff5b-4dfc-83a3-7fef4d7c74a8 · inbound

Potential Hessian Ascent: The Sherrington-Kirkpatrick Model cites this paper.

Potential Hessian Ascent: The Sherrington-Kirkpatrick Model Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:43:33.501092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T22:39:47.780451Z digest=sha256:576657d1f4e8f634b0982ac123e6725aaaa359227316f955f2079e6aefc16d67

Observation 76895d9b-0ad8-4b7a-95d9-67f6c7bf2157 · inbound

Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models cites this paper.

Near-Optimal Parameter Tuning of Level-1 QAOA for Ising Models Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-10T13:40:44.055707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:40:44.055707Z digest=sha256:e82cd92d724c24b210385abc52e5a3b2c70e0e20b732ce683003d538d4598853

Observation 19527ce1-8da1-4927-847f-047947271fc7 · inbound

Mind the gaps: The fraught road to quantum advantage cites this paper.

Mind the gaps: The fraught road to quantum advantage Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:51:39.835726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T01:51:39.522057Z digest=sha256:d36f360f681aca51d7ff5c1885d634ad8922646a597d3885f56329778ec203b0

Observation 1f7141a1-deb0-485a-9db1-4a439ed69005 · inbound

Mind the gaps: The fraught road to quantum advantage cites this paper.

Mind the gaps: The fraught road to quantum advantage Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:11:34.804890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T13:08:57.425184Z digest=sha256:30d14c40b504e4fde0f85ae749fd6acd42a72727db72f72e26147f953652dc88

Observation f69934e6-8ba5-4592-b077-35b8fc9752dc · inbound

Beyond Quantum Advantage: Improved Classical Algorithms for the Binary Paint Shop Problem cites this paper.

Beyond Quantum Advantage: Improved Classical Algorithms for the Binary Paint Shop Problem Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:43:22.808463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T22:43:00.611801Z digest=sha256:6610033db774e3d90099c39aab0cf3133c5efa1433a6519fc773e6a6259e42ad

Observation 1b9dd32b-46dd-4ec2-b1a3-1b3c94d09f38 · inbound

Setting angles in quantum approximate optimization at utility-scale cites this paper.

Setting angles in quantum approximate optimization at utility-scale Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:49.153455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T05:36:16.703269Z digest=sha256:3859d73977325ad588bc9f0a244d171deb5982713d3daa664f9977214ab7af3e

Observation 15cf624d-d96c-4723-8f02-8b1484a9fcf8 · inbound

Weak Poincar\'e Inequalities via Approximate Stochastic Localization: Application to Sampling the Sherrington-Kirkpatrick Model cites this paper.

Weak Poincar\'e Inequalities via Approximate Stochastic Localization: Application to Sampling the Sherrington-Kirkpatrick Model Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 147

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T12:17:03.998363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-07-10T12:07:13.584708Z digest=sha256:c959ef199c6f8510a3ca735f8c54f0a578f1f302dd7d734f5954d141df62dbe7

Observation 4b14bf33-b8f6-4a1d-a738-1687f8f395a1 · inbound

Quantum-informed surrogate sampling for combinatorial optimization cites this paper.

Quantum-informed surrogate sampling for combinatorial optimization Local algorithms and the failure of log-depth quantum advantage on sparse random CSPs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T05:02:01.239581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:02:01.239581Z digest=sha256:b6650380e470948c30217ccecb18797a274b6c0969f4554526033997aaf7f165