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Paper Citation Record · LEDGER

Towards Foundation Models for Mixed Integer Linear Programming

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.08288.

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

pith.paper-citation-record.v1
2410.08288 v2

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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:19:17.773549Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:56:32.217055Z

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 9f32f5a7-8ab8-4a38-af13-c1e95e232fb1 · inbound

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

Multi-task Representation Learning for Mixed Integer Linear Programming Towards Foundation Models for Mixed Integer Linear Programming

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T12:19:17.773549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:19:17.773549Z digest=sha256:6e351e68a2182b32f6a49839caef65293b8a35e077a725fdadae2968283190a9

Observation c470ed46-23be-46ce-97d4-e9e3c1465a4f · inbound

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions cites this paper.

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions Towards Foundation Models for Mixed Integer Linear Programming

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-05T21:27:14.324255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:27:14.324255Z digest=sha256:38c616c9d86473305dada7131852ae3d3bf5efbbd21611ea5f0dd7187571ae71

Observation 21589e5f-d90e-40eb-b1b3-9bd2e00861cf · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Towards Foundation Models for Mixed Integer Linear Programming

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:31.927408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:31.927408Z digest=sha256:f55744da9ed6cbcf6f8024022e16010f880187414a7a2562cc0698ef3f69bf7b

Observation cabe4e7c-1f3b-41d2-9664-d7a049939c22 · inbound

Budget-Efficient Automatic Algorithm Design via Code Graph cites this paper.

Budget-Efficient Automatic Algorithm Design via Code Graph Towards Foundation Models for Mixed Integer Linear Programming

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:56:32.220586Z

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=2026-05-12T03:46:09.715264Z digest=sha256:ad6420ffef15affc47b5d80538660af950544c5fca983db4e6caaff902e7e143

Observation b25e55b9-d1be-4858-ae1f-2a88fee31612 · inbound

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

MILP-Evo: Closed-Loop Fully Automatic Design of MILP Solvers Towards Foundation Models for Mixed Integer Linear Programming

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T14:20:13.273601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:20:13.273601Z digest=sha256:9a10bac9af6868457b4f11b43ade2b73d64ba3fd8dfa1fe04eafc098056b1886