Code Retrieval for MILP Instance Generation | Paper Citation Record

Observation 221f6993-3fd4-4f0d-9fe6-de01d936815e · outbound

This paper cites write newline.

Code Retrieval for MILP Instance Generation write newline

Reference 1

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Observation 5dec0ecb-f22d-4ca7-a141-78499c9bb190 · outbound

This paper cites and Ho, A.

Code Retrieval for MILP Instance Generation and Ho, A

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.892102Z

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Observation ae591385-5d97-4689-8d80-4dfcccfe9f20 · outbound

This paper cites Generating hard instances for maxsat.

Code Retrieval for MILP Instance Generation Generating hard instances for maxsat

Reference 3

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Observation 3a3b74b6-ba09-47b1-a59d-43b73dab07cf · outbound

This paper cites Machine learning for combinatorial optimization: a methodological tour d’horizon.

Code Retrieval for MILP Instance Generation Machine learning for combinatorial optimization: a methodological tour d’horizon

Reference 4

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Observation 569cb821-2791-46ec-afa7-2cfa7072434b · outbound

This paper cites A., Van Hoeve, W.-J., and Hooker, J.

Code Retrieval for MILP Instance Generation A., Van Hoeve, W.-J., and Hooker, J

Reference 5

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Observation 447671c1-352b-4000-a6e6-c88e956613f6 · outbound

This paper cites u hmer, E., Pfetsch, M. E., Schl \.

Code Retrieval for MILP Instance Generation u hmer, E., Pfetsch, M. E., Schl \

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.831212Z

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Observation 5e03eaaa-8642-469c-ad58-4a8e9472d463 · outbound

This paper cites Generation techniques for linear programming instances with controllable properties.

Code Retrieval for MILP Instance Generation Generation techniques for linear programming instances with controllable properties

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.813380Z

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Observation 63bb1be3-a7f2-4373-aef2-9ebe7dbe6a81 · outbound

This paper cites The vehicle routing problem: State of the art classification and review.

Code Retrieval for MILP Instance Generation The vehicle routing problem: State of the art classification and review

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.796703Z

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Observation 4aa77dde-aad4-4583-a535-c2b04014ebd1 · outbound

This paper cites an unresolved cited work.

Code Retrieval for MILP Instance Generation Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:35:08.779598Z

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Observation 30a5b8a2-cb05-45fe-b97e-aed0158a101e · outbound

This paper cites An milp for scheduling problems in an fms with one vehicle.

Code Retrieval for MILP Instance Generation An milp for scheduling problems in an fms with one vehicle

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.761350Z

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Observation 01a5ea22-0a31-4ebc-8e0a-578a0932253e · outbound

This paper cites The generalized independent set problem: Polyhedral analysis and solution approaches.

Code Retrieval for MILP Instance Generation The generalized independent set problem: Polyhedral analysis and solution approaches

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.741274Z

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Observation aacabb74-02b0-49c3-b672-6cc09d1ea4d9 · outbound

This paper cites Xtuner: A toolkit for efficiently fine-tuning llm.

Code Retrieval for MILP Instance Generation Xtuner: A toolkit for efficiently fine-tuning llm

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.724281Z

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Observation b038ddde-50a8-44a1-8c00-5a846429110a · outbound

This paper cites A comparison of heuristics and relaxations for the capacitated plant location problem.

Code Retrieval for MILP Instance Generation A comparison of heuristics and relaxations for the capacitated plant location problem

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.706041Z

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Observation d9787013-f7cf-4adf-8372-19c5660c10cb · outbound

This paper cites The Llama 3 Herd of Models.

Code Retrieval for MILP Instance Generation The Llama 3 Herd of Models

Reference 14

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Observation 38b4095f-1e95-4d83-9319-07fe1af119d4 · outbound

This paper cites an unresolved cited work.

Code Retrieval for MILP Instance Generation Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:35:08.688280Z

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Observation e3e46ab6-993e-496a-b322-78b7d707d676 · outbound

This paper cites Reverse logistics network design for a biogas plant: An approach based on milp optimization and analytical hierarchical process (ahp).

Code Retrieval for MILP Instance Generation Reverse logistics network design for a biogas plant: An approach based on milp optimization and analytical hierarchical process (ahp)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.670313Z

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Observation f2ff9923-a707-4641-b995-b0af90752be4 · outbound

This paper cites Exact combinatorial optimization with graph convolutional neural networks.

Code Retrieval for MILP Instance Generation Exact combinatorial optimization with graph convolutional neural networks

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.600178Z

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Observation 53a8bd59-f9ca-439b-b555-9f7c9d9ce8c7 · outbound

This paper cites A deep instance generative framework for milp solvers under limited data availability.

Code Retrieval for MILP Instance Generation A deep instance generative framework for milp solvers under limited data availability

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.642070Z

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Observation df365ef5-fe36-472e-9262-d57affb2e6b8 · outbound

This paper cites Miplib 2017: data-driven compilation of the 6th mixed-integer programming library.

Code Retrieval for MILP Instance Generation Miplib 2017: data-driven compilation of the 6th mixed-integer programming library

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.623985Z

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Observation 58fba5bb-087d-4951-aebb-41953c72ff74 · outbound

This paper cites Acm-milp: Adaptive constraint modification via grouping and selection for hardness-preserving milp instance generation.

Code Retrieval for MILP Instance Generation Acm-milp: Adaptive constraint modification via grouping and selection for hardness-preserving milp instance generation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.606560Z

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Observation 4cfb2173-7d90-4b43-98e8-b1f102c6e2a8 · outbound

This paper cites Hybrid models for learning to branch.

Code Retrieval for MILP Instance Generation Hybrid models for learning to branch

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.588606Z

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Observation a0e511d7-a57e-4a25-83d3-8c99f7d0a66c · outbound

This paper cites Lookback for Learning to Branch.

Code Retrieval for MILP Instance Generation Lookback for Learning to Branch

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.632737Z

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Observation 6d756fb2-0465-4a63-b11a-8ca4c994e4c4 · outbound

This paper cites Gurobi Optimizer Reference Manual , 2024.

Code Retrieval for MILP Instance Generation Gurobi Optimizer Reference Manual , 2024

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.637980Z

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Observation bf1f6ae9-aa7f-4175-b611-e05408390887 · outbound

This paper cites A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming.

Code Retrieval for MILP Instance Generation A GNN-Guided Predict-and-Search Framework for Mixed-Integer Linear Programming

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.643231Z

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Observation aefae100-b081-48e6-af1a-578bd7bb1b0d · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Code Retrieval for MILP Instance Generation Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.649331Z

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Observation e00ef3c9-05ea-44cd-92f0-9bfb100dfbd6 · outbound

This paper cites L., and Savelsbergh, M.

Code Retrieval for MILP Instance Generation L., and Savelsbergh, M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.548746Z

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Observation 0f2ea07e-1928-4f2a-945e-4c26f79f715b · outbound

This paper cites o m, K., G \.

Code Retrieval for MILP Instance Generation o m, K., G \

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.531952Z

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Observation e9b88416-511d-4547-ac9a-15c1ce1b1e62 · outbound

This paper cites M., Tian, Y., Dilkina, B., and Steiner, B.

Code Retrieval for MILP Instance Generation M., Tian, Y., Dilkina, B., and Steiner, B

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.515523Z

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Observation 0cc815d3-ebdc-4dab-a11a-fe312c6f325c · outbound

This paper cites GPT-4o System Card.

Code Retrieval for MILP Instance Generation GPT-4o System Card

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.673125Z

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Observation 797bd7b5-8d68-491f-b0da-b6e8055ad609 · outbound

This paper cites and Pardalos, P.

Code Retrieval for MILP Instance Generation and Pardalos, P

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.498675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 66042b17-c52d-48b7-9406-8b7d1300ea59 · outbound

This paper cites an unresolved cited work.

Code Retrieval for MILP Instance Generation Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.684325Z

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Observation 1be45a1a-0021-4bf6-a5b8-acb845a635da · outbound

This paper cites Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning.

Code Retrieval for MILP Instance Generation Accelerate Presolve in Large-Scale Linear Programming via Reinforcement Learning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.689711Z

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Observation c8197033-0ed1-405d-a80c-96f023e0c4a7 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Code Retrieval for MILP Instance Generation NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.695811Z

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Observation b87fb9be-377c-40ca-9270-8f3db3436e50 · outbound

This paper cites Towards a universal test suite for combinatorial auction algorithms.

Code Retrieval for MILP Instance Generation Towards a universal test suite for combinatorial auction algorithms

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.702632Z

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Observation 981b0ca6-f777-4b56-baa7-16d53f932cc9 · outbound

This paper cites Towards Foundation Models for Mixed Integer Linear Programming.

Code Retrieval for MILP Instance Generation Towards Foundation Models for Mixed Integer Linear Programming

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.707797Z

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Observation 8b0e19f9-8742-4e5e-812e-38985a5d5e89 · outbound

This paper cites Machine Learning Insides OptVerse AI Solver: Design Principles and Applications.

Code Retrieval for MILP Instance Generation Machine Learning Insides OptVerse AI Solver: Design Principles and Applications

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.713319Z

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Observation cfe29235-8100-48cf-b5ec-0740f5c9f5e6 · outbound

This paper cites Divergence measures based on the shannon entropy.

Code Retrieval for MILP Instance Generation Divergence measures based on the shannon entropy

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.458319Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a61ec41-e190-4c68-8a7e-2389ef8f19a2 · outbound

This paper cites L2p-mip: Learning to presolve for mixed integer programming.

Code Retrieval for MILP Instance Generation L2p-mip: Learning to presolve for mixed integer programming

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.438649Z

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Observation d899f980-5186-4160-8361-8b49c4d929c0 · outbound

This paper cites MILP-StuDio: MILP Instance Generation via Block Structure Decomposition.

Code Retrieval for MILP Instance Generation MILP-StuDio: MILP Instance Generation via Block Structure Decomposition

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-15T22:35:07.954658Z

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Observation e83406dd-05ec-4fea-9d25-55f42d4fca26 · outbound

This paper cites P., and Mittal, M.

Code Retrieval for MILP Instance Generation P., and Mittal, M

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.420611Z

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Observation 304ce957-cc8b-4474-af6f-c9528ee9d39d · outbound

This paper cites M., and Ramos, A.

Code Retrieval for MILP Instance Generation M., and Ramos, A

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.402189Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8b956cf6-b168-4c43-b79a-1c58f3a6e7ab · outbound

This paper cites G., and Manzolini, G.

Code Retrieval for MILP Instance Generation G., and Manzolini, G

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.382892Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 237c4c5f-6bdf-4172-802a-637195dd321c · outbound

This paper cites An exact algorithm for large multiple knapsack problems.

Code Retrieval for MILP Instance Generation An exact algorithm for large multiple knapsack problems

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.365102Z

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Observation d3f09c37-2631-481a-83c3-49a264285795 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Code Retrieval for MILP Instance Generation W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.754638Z

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Observation 20d33f90-73b4-4663-8c85-3563e5976ed4 · outbound

This paper cites and Pinto, J.

Code Retrieval for MILP Instance Generation and Pinto, J

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.335702Z

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Observation d3ee7c02-c372-4ea8-a8e0-d947ce2b8159 · outbound

This paper cites and Gao, W.

Code Retrieval for MILP Instance Generation and Gao, W

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.315928Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation daa244bf-030f-4102-ac9c-fc7428005afe · outbound

This paper cites Improved techniques for training gans.

Code Retrieval for MILP Instance Generation Improved techniques for training gans

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.779503Z

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Observation e21f74d3-c337-4cfc-9ab2-61b5b947f33d · outbound

This paper cites and Bowly, S.

Code Retrieval for MILP Instance Generation and Bowly, S

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.286197Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 328e0614-5721-44b9-a763-0a98732e243c · outbound

This paper cites D., Park, K., and Kim, J.

Code Retrieval for MILP Instance Generation D., Park, K., and Kim, J

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.267693Z

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Observation 90156ab0-dd15-4c1d-99ce-180a185f5ba4 · outbound

This paper cites Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs.

Code Retrieval for MILP Instance Generation Learning a Large Neighborhood Search Algorithm for Mixed Integer Programs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.798230Z

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Observation a8116c7e-1f88-4e1c-a3e3-d03cab64f961 · outbound

This paper cites Rethinking the inception architecture for computer vision.

Code Retrieval for MILP Instance Generation Rethinking the inception architecture for computer vision

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.805067Z

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Observation 187803fd-459f-432f-89bb-956aa1c88ccd · outbound

This paper cites Reinforcement learning for integer programming: Learning to cut.

Code Retrieval for MILP Instance Generation Reinforcement learning for integer programming: Learning to cut

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.234458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2a3fb72f-ffa5-447d-bf1c-107b61c50f23 · outbound

This paper cites P., Liu, J., Chen, X., Wang, X., Li, P., and Yin, W.

Code Retrieval for MILP Instance Generation P., Liu, J., Chen, X., Wang, X., Li, P., and Yin, W

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.215507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 58a0ca64-08a6-4248-99f8-e5a9e50f3f7a · outbound

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

Code Retrieval for MILP Instance Generation Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:07.823890Z

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Observation 48deafaa-5c1f-4085-99d9-c917433360ec · outbound

This paper cites Learning to generate scalable milp instances.

Code Retrieval for MILP Instance Generation Learning to generate scalable milp instances

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.196226Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 613cc0f5-eaf2-4bdd-b45f-3b82716f0a36 · outbound

This paper cites Gnn&gbdt-guided fast optimizing framework for large-scale integer programming.

Code Retrieval for MILP Instance Generation Gnn&gbdt-guided fast optimizing framework for large-scale integer programming

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.175201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b115db3b-33f3-4eee-b0ff-1a40ac3223e2 · outbound

This paper cites Light- MILP opt: Solving large-scale mixed integer linear programs with lightweight optimizer and small-scale training dataset.

Code Retrieval for MILP Instance Generation Light- MILP opt: Solving large-scale mixed integer linear programs with lightweight optimizer and small-scale training dataset

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.155047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c84494e9-f2b9-4ff5-a5e0-d05f4dd351e5 · outbound

This paper cites Milp-fbgen: Lp/milp instance generation with feasibility/boundedness.

Code Retrieval for MILP Instance Generation Milp-fbgen: Lp/milp instance generation with feasibility/boundedness

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:35:08.136115Z

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