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Paper Citation Record · LEDGER

Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.00244.

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

pith.paper-citation-record.v1
2302.00244 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:25.834542Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:50:58.077828Z

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 4da25c35-3555-4eff-92a5-d6ef4e4b7d5a · inbound

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization cites this paper.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:25.834542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:25.834542Z digest=sha256:1fc67b7ee6f014e71e4b2e8d10464132e305251aa3bd7308a53469686d0a78b7

Observation bc2e3f90-9559-4e16-9985-07b685e6dea3 · inbound

Adversarial Robustness in Distributed Quantum Machine Learning cites this paper.

Adversarial Robustness in Distributed Quantum Machine Learning Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Reference 2002

Resolution
unresolved
no resolver link, observed 2026-08-05T19:46:24.593329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:46:24.593329Z digest=sha256:0e128368f5ad212f68d3cc5d801ba40c82086b08b2a0db708fc0fea8d2922d77

Observation 43fee51f-666b-4b0d-9c89-81d1940e0372 · inbound

Sample Complexity of Stochastic Optimization with Integer Variables cites this paper.

Sample Complexity of Stochastic Optimization with Integer Variables Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:50:58.079706Z

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=arxiv_source observed=2026-05-11T02:10:44.402412Z digest=sha256:5946da66f3e380ff79d3367b397e07d8b1c6e10dd1968174b3cc35ef7e95a306

Observation 2746ca36-f9a9-4102-88ee-d54a3e032438 · inbound

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

MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-02T14:20:11.925323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:20:11.925323Z digest=sha256:4046da371826ef567d77fe57efecc2f0155345ade77e5923b800121512147985

Observation fca8d2ab-fb19-4083-aab0-41032f6f59f4 · inbound

Reinforcement Learning for Delivery Drone-Based Participatory Sensing in Dynamic Environments cites this paper.

Reinforcement Learning for Delivery Drone-Based Participatory Sensing in Dynamic Environments Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T14:08:06.109752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T14:08:06.109752Z digest=sha256:73dc52b548022b0d4f3a5eb5df3e63f0d5e4c0f02011dc16275b4176f3edddee