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Paper Citation Record · LEDGER

Learning to Schedule Heuristics in Branch-and-Bound

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.10294.

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

pith.paper-citation-record.v1
2103.10294 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:42:14.839085Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:09:37.905393Z

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 4573a097-64cb-4f0d-8b39-44c33b0ad6d4 · inbound

How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design cites this paper.

How much data is sufficient to learn high-performing algorithms? Generalization guarantees for data-driven algorithm design Learning to Schedule Heuristics in Branch-and-Bound

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T14:42:14.839085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:42:14.839085Z digest=sha256:0b1864769608e86e228cbed20325980554952897d308f46668e1bfd74a16d97e

Observation 5bec6ea0-7669-49a3-93aa-715b493d64be · inbound

A note on the convergence guarantees of RLT-based algorithms for polynomial optimization cites this paper.

A note on the convergence guarantees of RLT-based algorithms for polynomial optimization Learning to Schedule Heuristics in Branch-and-Bound

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:09:37.906831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T13:44:16.025930Z digest=sha256:a8cd2b966acd95426a3a6522f9dc67dc3f4a6ab95c6ae94442b6e084ac38fcdb