Paper Citation Record · LEDGER

The SCIP Optimization Suite 9.0

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.17702.

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

pith.paper-citation-record.v1
2402.17702 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:25:02.404749Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 dce924c3-c411-4c41-ab20-32be3e94a93d · inbound

Logic-Constrained Shortest Paths for Flight Planning cites this paper.

Logic-Constrained Shortest Paths for Flight Planning The SCIP Optimization Suite 9.0

Reference 89

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:42:39.058928Z

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.

Observation 8d3144a8-084a-4b2b-8fb1-aa71299b10c7 · inbound

MathOptAI.jl: Embed trained machine learning predictors into JuMP models cites this paper.

MathOptAI.jl: Embed trained machine learning predictors into JuMP models The SCIP Optimization Suite 9.0

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T20:25:02.404749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3731fbae-b8c4-445e-ad11-c28d472a35a5 · inbound

Instance-Optimized String Fingerprints cites this paper.

Instance-Optimized String Fingerprints The SCIP Optimization Suite 9.0

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T17:39:08.506481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae4ca0d1-eb5c-46c9-b51d-157791524e00 · inbound

Exact algorithms for quadratic optimization over roots of unity cites this paper.

Exact algorithms for quadratic optimization over roots of unity The SCIP Optimization Suite 9.0

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-06T05:26:46.017839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1934216-173c-4798-aeb5-91c78e86acab · inbound

Automating Idealness Proofs for Binary Programs with Application to Rectangle Packing cites this paper.

Automating Idealness Proofs for Binary Programs with Application to Rectangle Packing The SCIP Optimization Suite 9.0

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T09:01:07.964672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe4a35c-d9b2-4718-869f-0e27647a544f · inbound

Equity by Design? On the Trade-Offs in Fairness-Driven Recommendation in Heterogeneous Two-Sided Markets cites this paper.

Equity by Design? On the Trade-Offs in Fairness-Driven Recommendation in Heterogeneous Two-Sided Markets The SCIP Optimization Suite 9.0

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T01:04:06.859014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a04a370-a51b-4fbc-8faf-556e64023072 · inbound

Efficient Multi-round LLM Inference over Disaggregated Serving cites this paper.

Efficient Multi-round LLM Inference over Disaggregated Serving The SCIP Optimization Suite 9.0

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T23:16:43.933864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 627fea63-f60d-4f89-bbc6-8ab504cf17c2 · inbound

Efficient Convexification of Kolmogorov-Arnold Networks with Polynomial Functional Forms Via a Continuous Graham Scan Approach cites this paper.

Efficient Convexification of Kolmogorov-Arnold Networks with Polynomial Functional Forms Via a Continuous Graham Scan Approach The SCIP Optimization Suite 9.0

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T16:53:00.136062Z

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.

Observation fc143744-c521-4595-b0a7-2bf01f429f4c · inbound

Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem cites this paper.

Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem The SCIP Optimization Suite 9.0

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:41:00.199705Z

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.

Observation 36a5c2a3-dcc7-489d-b64a-f07602efa578 · inbound

Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem cites this paper.

Hybrid Quantum-Classical Optimization Workflows for the Shipment Selection Problem The SCIP Optimization Suite 9.0

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T21:46:26.290743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b07a6992-6e98-4c48-b4dc-0899106c813d · inbound

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems cites this paper.

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems The SCIP Optimization Suite 9.0

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:11:53.595732Z

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.

Observation c5a7f206-30f3-45e5-bddc-ea9dca27d731 · inbound

ReLibra: Routing-Replay-Guided Load Balancing for MoE Training in Reinforcement Learning cites this paper.

ReLibra: Routing-Replay-Guided Load Balancing for MoE Training in Reinforcement Learning The SCIP Optimization Suite 9.0

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:46:14.793302Z

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.

Observation c7f9c21f-85b2-4a1a-a16d-cf8f69780897 · inbound

Bounding the Null Space: Interval-Based Uncertainty Quantification for Non-Identifiable Groundwater Models cites this paper.

Bounding the Null Space: Interval-Based Uncertainty Quantification for Non-Identifiable Groundwater Models The SCIP Optimization Suite 9.0

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:07:45.534657Z

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.

Observation 4ea68d66-db7e-4a4b-a505-10db43b7ee46 · inbound

Symbolic Discovery of Iterative Algorithms: A Continuous Latent Space Bayesian Optimization Framework cites this paper.

Symbolic Discovery of Iterative Algorithms: A Continuous Latent Space Bayesian Optimization Framework The SCIP Optimization Suite 9.0

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:29.687975Z

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.

Observation c513a86d-6f67-47e6-a7d3-bf7539f7a92d · inbound

New lower bounds for binary constant-weight codes: $A(23,6,10)\geq 2979$ and $A(24,6,10)\geq 4214$ cites this paper.

New lower bounds for binary constant-weight codes: $A(23,6,10)\geq 2979$ and $A(24,6,10)\geq 4214$ The SCIP Optimization Suite 9.0

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:26.165184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.