Paper Citation Record · LEDGER

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization

As of 19 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 2 inbound Pith citation observations for arXiv:2506.11057.

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

pith.paper-citation-record.v1
2506.11057 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:28.925570Z

measured 57 of 57 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T04:47:47.691913Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:59:51.928527Z

Reference resolution

55 of 55 outbound references displayed

verified exact1
verified fuzzy26
unresolved28
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eedc734c-1a57-4d84-ba66-b1f24625180a · outbound

This paper cites An integer programming approach to scheduling.Computer scheduling of public transport urban passenger vehicle and crew scheduling, pages 269–280, 1981.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization An integer programming approach to scheduling.Computer scheduling of public transport urban passenger vehicle and crew scheduling, pages 269–280, 1981

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:34.637822Z

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 84fc1016-bf5a-4838-b916-f0547374923f · outbound

This paper cites A data-driven three-layer algorithm for split delivery vehicle routing problem with 3d container loading constraint.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization A data-driven three-layer algorithm for split delivery vehicle routing problem with 3d container loading constraint

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:34.433257Z

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 d6cbe11b-f07e-4828-b23c-3a8d1623283d · outbound

This paper cites LLM+P: Empowering Large Language Models with Optimal Planning Proficiency.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:24.781430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abb1f5d6-01a4-4465-b507-3add383f7c53 · outbound

This paper cites Exploiting special structure in semidefinite programming: A survey of theory and applications.European Journal of Operational Research, 201(1):1–10, 2010.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Exploiting special structure in semidefinite programming: A survey of theory and applications.European Journal of Operational Research, 201(1):1–10, 2010

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:34.208249Z

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 a3828e1c-ac6a-4c8f-9c14-2345e928b8e8 · outbound

This paper cites PhD thesis, Citeseer, 2011.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization PhD thesis, Citeseer, 2011

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.925717Z

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 5480eac3-27e3-4c57-8ff4-ec69e4e8c41f · outbound

This paper cites The molecule problem: Exploiting structure in global optimization.SIAM Journal on Optimization, 5(4):835–857, 1995.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization The molecule problem: Exploiting structure in global optimization.SIAM Journal on Optimization, 5(4):835–857, 1995

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.715900Z

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 85e1117f-9a7d-4f68-ba18-f34b7ab06ac3 · outbound

This paper cites Machine learning for combinatorial optimization: a methodological tour d’horizon.European Journal of Operational Research, 290(2):405–421, 2021.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Machine learning for combinatorial optimization: a methodological tour d’horizon.European Journal of Operational Research, 290(2):405–421, 2021

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.103164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 513e41c9-a0cf-4aec-98ad-71a7d7930143 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.148344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0de96ab1-4f44-402c-8252-d7c3a24d52d3 · outbound

This paper cites Neural Combinatorial Optimization with Reinforcement Learning.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Neural Combinatorial Optimization with Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.252026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86bf162d-3b0a-4037-af8c-ba44deee4ac5 · outbound

This paper cites Mip-gnn: A data-driven framework for guiding combinatorial solvers.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Mip-gnn: A data-driven framework for guiding combinatorial solvers

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.325576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3d8f518-93c8-4f75-837a-fa7ec73a9daf · outbound

This paper cites Hyper- reactive tabu search for maxsat.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Hyper- reactive tabu search for maxsat

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.387266Z

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 ca316e91-40da-4818-9200-32768e4ee154 · outbound

This paper cites Learning when to use a decompo- sition.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning when to use a decompo- sition

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:33.154256Z

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 4e172898-6bf9-4c7e-a751-44dafe06fa68 · outbound

This paper cites Learning a classification of mixed-integer quadratic programming problems.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning a classification of mixed-integer quadratic programming problems

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:32.822919Z

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 fac73ad3-7de1-4221-be6b-91502baabd67 · outbound

This paper cites Exact Combinatorial Optimization with Graph Convolutional Neural Networks.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Exact Combinatorial Optimization with Graph Convolutional Neural Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:25.769906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da25c35-3555-4eff-92a5-d6ef4e4b7d5a · outbound

This paper cites Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model.

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.

Observation 504c93e6-5d67-4b1f-a94f-285ae74a2f17 · outbound

This paper cites Learning to cut via hierarchical sequence/set model for efficient mixed-integer programming.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning to cut via hierarchical sequence/set model for efficient mixed-integer programming.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:32.532441Z

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 6fde0ca0-e85f-4893-aa23-b711dded1da8 · outbound

This paper cites CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.006959Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe808437-5ddf-43ca-9f30-16c956eb5dca · outbound

This paper cites Large Language Models as Optimizers.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Large Language Models as Optimizers

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.104810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 721858bc-9fdc-4fd4-be8e-6e24ebf41f79 · outbound

This paper cites How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization How Multimodal Integration Boost the Performance of LLM for Optimization: Case Study on Capacitated Vehicle Routing Problems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.204993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03256996-f358-4d3d-8a04-be59d282bdfe · outbound

This paper cites Mathematical discoveries from program search with large language models.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Mathematical discoveries from program search with large language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.290819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb992b3b-57d5-4e9e-b5af-ae04dc0dc782 · outbound

This paper cites Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.411739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a38f7215-d266-4709-b724-55e7a667f8cc · outbound

This paper cites ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization ReEvo: Large Language Models as Hyper-Heuristics with Reflective Evolution

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.477683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd9f4270-a89f-4fde-a92e-bcab327388bc · outbound

This paper cites The Second Half.https://ysymyth.github.io/The-Second-Half/, 2025.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization The Second Half.https://ysymyth.github.io/The-Second-Half/, 2025

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:32.259148Z

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 e53b1b0b-d3c3-4bea-9436-e8884e8b42cb · outbound

This paper cites Accelerating linear programming solving by exploiting the performance variability via reinforcement learning.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Accelerating linear programming solving by exploiting the performance variability via reinforcement learning

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.977084Z

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 37896434-0e2f-4f0f-88e9-e781a3769d80 · outbound

This paper cites Pointer networks.Advances in neural information processing systems, 28, 2015.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Pointer networks.Advances in neural information processing systems, 28, 2015

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.682603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40a396d1-074c-4368-989d-c2eac9dc2eeb · outbound

This paper cites Sequence to sequence learning with neural networks.Advances in neural information processing systems, 27, 2014.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Sequence to sequence learning with neural networks.Advances in neural information processing systems, 27, 2014

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.737597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 536f4059-3fa2-44d9-8603-231a922c3c91 · outbound

This paper cites A theoretical and com- putational analysis of full strong-branching.Mathematical Programming, 205(1):303–336, 2024.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization A theoretical and com- putational analysis of full strong-branching.Mathematical Programming, 205(1):303–336, 2024

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.789893Z

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 82e1122c-6744-4f90-92d2-ad5e299653f8 · outbound

This paper cites A systematic survey on large language models for algorithm design.arXiv preprint arXiv:2410.14716, 2024.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization A systematic survey on large language models for algorithm design.arXiv preprint arXiv:2410.14716, 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.839092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce1d5194-f6be-40b1-bd60-47776fbb0987 · outbound

This paper cites AutoSAT: Automatically Optimize SAT Solvers via Large Language Models.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization AutoSAT: Automatically Optimize SAT Solvers via Large Language Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:26.912495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e92391-31f8-4ccf-9712-c7301a2c0d9e · outbound

This paper cites Llm4solver: Large language model for efficient algorithm design of combinatorial optimization solver.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Llm4solver: Large language model for efficient algorithm design of combinatorial optimization solver

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.668188Z

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 a801f64d-5d89-4db3-9006-357b7e0835e2 · outbound

This paper cites Past and future of the cap set problem.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Past and future of the cap set problem

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:58:29.251091Z

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 e80e231f-9262-4a87-aaea-f93fb997069b · outbound

This paper cites Bin packing optimization via deep reinforcement learning.IEEE Robotics and Automation Letters, 2025.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Bin packing optimization via deep reinforcement learning.IEEE Robotics and Automation Letters, 2025

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.560462Z

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 381804ee-ae3b-40d5-90eb-d0bc5df62987 · outbound

This paper cites Courier Corporation, 1998.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Courier Corporation, 1998

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.153765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67c8a76a-ef23-4de7-896e-dbccae19d50d · outbound

This paper cites Traveling salesman problem.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Traveling salesman problem

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.454287Z

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 ddc530b6-7d8c-48a8-8f49-4c1f07dffc90 · outbound

This paper cites Production planning: a review.European Journal of Operational Research, 7(2):101–110, 1981.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Production planning: a review.European Journal of Operational Research, 7(2):101–110, 1981

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.299910Z

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 aef5b9b0-6c90-4946-bd33-77a6e712f85e · outbound

This paper cites SIAM, 2002.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization SIAM, 2002

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.364405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a62c3209-f023-4665-970e-db3e3b3275e8 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Direct preference optimization: Your language model is secretly a reward model

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.431458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3304cf9f-2773-471a-ae45-638e442ea1cb · outbound

This paper cites Courier Corporation, 2012.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Courier Corporation, 2012

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.528279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6820b6b2-db46-41ed-bee0-b527d7f37b49 · outbound

This paper cites Foundations of multimodal co- learning.Information Fusion, 64:188–193, 2020.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Foundations of multimodal co- learning.Information Fusion, 64:188–193, 2020

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:31.105850Z

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 2ac97e95-cdbd-4e2b-9092-7e1b7e2d569c · outbound

This paper cites Learning a SAT Solver from Single-Bit Supervision.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning a SAT Solver from Single-Bit Supervision

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.720416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4d94a8d-874c-4e1e-86c8-4d038f11e9d2 · outbound

This paper cites Set covering algorithms using cutting planes, heuristics, and subgradient optimization: a computational study.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Set covering algorithms using cutting planes, heuristics, and subgradient optimization: a computational study

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.954343Z

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 365f5283-0b52-4c80-b0a8-8dcff87b45ae · outbound

This paper cites Springer, 2016.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Springer, 2016

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.909031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346d5815-76a8-45c3-94a5-9d95413a785a · outbound

This paper cites Learning to branch with Tree MDPs.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning to branch with Tree MDPs

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:27.990784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef5aefda-a020-4895-be79-a03927d58673 · outbound

This paper cites Exact com- binatorial optimization with graph convolutional neural networks.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Exact com- binatorial optimization with graph convolutional neural networks

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.084043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cd52492-df70-4851-b639-1094bc289e80 · outbound

This paper cites Improving learning to branch via reinforcement learning.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Improving learning to branch via reinforcement learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.824220Z

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 786bcc7a-efe2-4e98-8d0c-04444e8bbe57 · outbound

This paper cites On the facets of the mixed–integer knapsack polyhedron.Mathematical Programming, 98(1):145–175, 2003.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization On the facets of the mixed–integer knapsack polyhedron.Mathematical Programming, 98(1):145–175, 2003

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.702086Z

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 b7714827-752e-466f-bb55-951db871b434 · outbound

This paper cites Connections in networks: A hybrid approach.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Connections in networks: A hybrid approach

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.600630Z

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 1f9b025b-41f7-4e9a-9325-ffe523eb6a3a · outbound

This paper cites Machine learning for combinatorial optimization, 2021.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Machine learning for combinatorial optimization, 2021

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.506857Z

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 c461b1e7-2220-4efe-914f-49ac695b888e · outbound

This paper cites Proceedings of sat competition 2023: Solver, benchmark and proof checker descriptions.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Proceedings of sat competition 2023: Solver, benchmark and proof checker descriptions

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.399879Z

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 eb410981-91d4-445e-a4bb-203de9d6b19a · outbound

This paper cites Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Ecole: A Gym-like Library for Machine Learning in Combinatorial Optimization Solvers

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.553690Z

Source-reported events for the cited work

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Observation f7856e0d-c201-454f-8a74-bafd713d29ff · outbound

This paper cites Hardsatgen: Understanding the difficulty of hard sat formula generation and a strong structure-hardness-aware baseline.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Hardsatgen: Understanding the difficulty of hard sat formula generation and a strong structure-hardness-aware baseline

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.240829Z

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

Observation c939a651-126e-4b8d-aef2-b296ba3b1795 · outbound

This paper cites The SCIP Optimization Suite 8.0.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization The SCIP Optimization Suite 8.0

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.687749Z

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Observation ae781948-96f9-48f8-9c69-3c3998bb44fe · outbound

This paper cites Solving Mixed Integer Programs Using Neural Networks.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Solving Mixed Integer Programs Using Neural Networks

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:28.770514Z

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Observation c53c1bf2-740e-4a5d-8dad-c7de2c9ae3dd · outbound

This paper cites Learning to search in branch and bound algorithms.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Learning to search in branch and bound algorithms

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:30.056531Z

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Observation 06f6f06b-64ed-4908-85f0-63ecf81e7756 · outbound

This paper cites Automated configuration of mixed in- teger programming solvers.

STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization Automated configuration of mixed in- teger programming solvers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:58:29.779767Z

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Pith citing papers

Observation e36ba57f-d37f-47c3-9864-d1f6867ce168 · inbound

Large Language Models for Operations Research: A Comprehensive Survey cites this paper.

Large Language Models for Operations Research: A Comprehensive Survey STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:59:32.526860Z

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Observation d1f29771-3440-4c40-b6b0-6edd1a877073 · inbound

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs cites this paper.

Reinforcement Learning without Ground-Truth Solutions can Improve LLMs STRCMP: Integrating Graph Structural Priors with Language Models for Combinatorial Optimization

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:59:51.929887Z

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