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Paper Citation Record · LEDGER

Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1711.05174.

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

pith.paper-citation-record.v1
1711.05174 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T16:21:09.095664Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T05:09:36.209825Z

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 08d7d307-8cca-4ab8-a8dd-a2715a33f362 · inbound

Sequential Experimental Design for Transductive Linear Bandits cites this paper.

Sequential Experimental Design for Transductive Linear Bandits Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T19:47:07.776654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-25T19:46:38.612409Z digest=sha256:33185366b3f7e0fcfca4126b4ff73d787b938095464e2ecd6e75434e76450a5e

Observation f5d7878d-3c5b-472a-8000-1ea6187e39eb · inbound

Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Model cites this paper.

Beyond Averaging in John Ellipsoid Approximation: High-Accuracy Algorithms in the Leverage-Score Model Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T05:09:36.211489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-26T16:21:09.095664Z digest=sha256:5bfd882289d588485ff2e1e84bc75a3513f8bf2f32b7852a4f67d8b047774bcb