Pith. sign in

Paper Citation Record · LEDGER

Convex optimization using quantum oracles

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1809.00643.

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

pith.paper-citation-record.v1
1809.00643 v4

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:14:41.602976Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:57:44.269662Z

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 c9e19fd3-6f4a-4108-ab08-94572b3dd2f8 · inbound

Quantum algorithm for estimating volumes of convex bodies cites this paper.

Quantum algorithm for estimating volumes of convex bodies Convex optimization using quantum oracles

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T14:14:41.602976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:14:41.602976Z digest=sha256:84e3d1a0274546caef784a78fe6fa54f04ed8b25a7321aa43372266a52537a9a

Observation eaf6fed4-ad20-4b5b-bf1e-50d19dec9e63 · inbound

Quantum Algorithms for Bandits with Knapsacks with Improved Regret and Time Complexities cites this paper.

Quantum Algorithms for Bandits with Knapsacks with Improved Regret and Time Complexities Convex optimization using quantum oracles

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:57:44.305651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T19:57:36.499364Z digest=sha256:fc7e5c45ea6ef96b1bdbc2a8b6040352d54405c7138a71b9065eab2bcb21833f