Paper Citation Record · LEDGER

Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.06954.

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

pith.paper-citation-record.v1
2406.06954 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:51:23.232201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T00:01:22.796121Z

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 edad81f8-94f1-46b4-a09c-3dbeab1df839 · inbound

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem cites this paper.

Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problem Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T12:20:34.507171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e033d84-ebe5-4de3-8df7-66efc0f2f70a · inbound

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

Multi-task Representation Learning for Mixed Integer Linear Programming Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T12:19:17.709351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be9140d0-1167-4535-83c7-8367391cf61c · inbound

FORGE: Foundational Optimization Representations from Graph Embeddings cites this paper.

FORGE: Foundational Optimization Representations from Graph Embeddings Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T16:51:23.232201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ad5a79e-b87f-4217-b2d4-bc36c7bae23b · inbound

Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk cites this paper.

Machine Learning Guided Optimal Transmission Switching to Mitigate Wildfire Ignition Risk Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T07:44:26.489133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f38efe6-39b4-4e50-ba5b-0679b690607d · inbound

ID-PaS+ : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs cites this paper.

ID-PaS+ : Identity-Aware Predict-and-Search for General Mixed-Integer Linear Programs Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:01:22.799223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c347d660-f6d7-4c39-a84c-a235bb2a874a · inbound

ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs cites this paper.

ML-Guided Primal Heuristics for Mixed Binary Quadratic Programs Distributional MIPLIB: a Multi-Domain Library for Advancing ML-Guided MILP Methods

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:21:09.066442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.