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Paper Citation Record · LEDGER

Evolutionary Computing

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:cs/0511004.

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

pith.paper-citation-record.v1
cs/0511004 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:52:16.274763Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-19T03:22:01.244989Z

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 08afe8cf-64f8-42b2-91fd-b560f1f655bb · inbound

Speeding up thermalization and quantum state preparation through engineered quantum collisions cites this paper.

Speeding up thermalization and quantum state preparation through engineered quantum collisions Evolutionary Computing

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T22:52:16.274763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:52:16.274763Z digest=sha256:2c235311411b21c05c4f879010e600bc1a88a75abe2f92f051630b702333f8f0

Observation 3877bec5-0c1f-40ca-a3be-1944e51ee80e · inbound

Optimizing quantum sensing networks via genetic algorithms and deep learning cites this paper.

Optimizing quantum sensing networks via genetic algorithms and deep learning Evolutionary Computing

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:22:01.246970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T03:17:37.583689Z digest=sha256:98e43290a2b6e18da1a45a9afb5629dcbbf5eea03fdc555507061f4b56edcaf8