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Paper Citation Record · LEDGER

CAMBranch: Contrastive Learning with Augmented MILPs for Branching

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.03647.

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

pith.paper-citation-record.v1
2402.03647 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:19:17.786709Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T12:19:18.058655Z

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 988f44f6-4dea-4f89-abb9-c94017bd6a84 · inbound

Multi-task Representation Learning for Mixed Integer Linear Programming cites this paper.

Multi-task Representation Learning for Mixed Integer Linear Programming CAMBranch: Contrastive Learning with Augmented MILPs for Branching

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T12:19:18.066980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-11T12:19:17.786709Z digest=sha256:4dac974ac66d618395c92c3e344749611bcd81a8aac02f3f06aa708dfd881428

Observation 2a41c70f-04ad-4f03-8f5c-3d157a663dcc · inbound

MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers cites this paper.

MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers CAMBranch: Contrastive Learning with Augmented MILPs for Branching

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T14:20:12.239243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:20:12.239243Z digest=sha256:6ff6481536af5308d361313679c1726502c9f3cedac108ce031090e0d4043b84