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Paper Citation Record · LEDGER

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

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:44:26.489133Z

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 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.

source=pdf_text observed=2026-08-04T07:44:26.489133Z digest=sha256:bdbfc555c8c7c5f35642dac32a3c47dde1180c16b395cdc8bf270a927badafd4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T00:00:17.759979Z digest=sha256:fbc466e9caf2f614d5cdfc6791c968e396826575700f1184c5e8fe11c24a8e9f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T12:08:37.965836Z digest=sha256:07785e7ce1912d5c216f844f0baaae41bfd4cab32a9aa3dfc0de771db4a2c4f4