Paper Citation Record · LEDGER

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs

As of 8 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2505.20972.

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

pith.paper-citation-record.v1
2505.20972 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:47:35.736530Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact0
verified fuzzy39
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2064ba12-8659-49c2-8569-44a6d3edb75f · outbound

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

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Gnn&gbdt-guided fast optimizing framework for large-scale integer programming

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:43.384505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40a7855c-508c-40f3-88bb-0edbd83da2ff · outbound

This paper cites Neural network-based dimensionality reduction for large-scale binary optimization with millions of variables.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Neural network-based dimensionality reduction for large-scale binary optimization with millions of variables

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:43.232438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2b8ab720-4824-44d9-b4b4-a74f788d55fb · outbound

This paper cites On the power of small-size graph neural networks for linear programming.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs On the power of small-size graph neural networks for linear programming

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:43.125706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f9f341f9-45c7-47ea-aa22-b23a04687f0e · outbound

This paper cites Combinatorial optimization and reasoning with graph neural networks.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Combinatorial optimization and reasoning with graph neural networks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:42.992324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 31eb14b6-3ed1-482c-a981-d3ccfcc62f6f · outbound

This paper cites Combinatorial optimization with physics-inspired graph neural networks.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Combinatorial optimization with physics-inspired graph neural networks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:32.079625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55293212-ac6e-46a9-a4b6-15328ff88848 · outbound

This paper cites A deep learning framework for graph partitioning.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs A deep learning framework for graph partitioning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:42.831315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b490f122-a1e4-4b7a-b73a-7a8d19529db9 · outbound

This paper cites Graph clustering with graph neural networks.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Graph clustering with graph neural networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:42.727498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d01a82ec-dfcb-4ccb-b7ba-f40bbe9b8e6b · outbound

This paper cites Controlling continuous relaxation for combinatorial optimization.Advances in Neural Information Processing Systems (NeurIPS), 37:47189–47216, 2024.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Controlling continuous relaxation for combinatorial optimization.Advances in Neural Information Processing Systems (NeurIPS), 37:47189–47216, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:42.608491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 04dbd8f0-8996-46bb-abe1-142b1cf88d47 · outbound

This paper cites Learning to solve quadratic unconstrained binary optimization in a classification way.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Learning to solve quadratic unconstrained binary optimization in a classification way

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:42.446648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82afb103-78db-40dd-b8e5-f2c2a26edd82 · outbound

This paper cites Neural graph matching network: Learning lawler’s quadratic assignment problem with extension to hypergraph and multiple-graph matching.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Neural graph matching network: Learning lawler’s quadratic assignment problem with extension to hypergraph and multiple-graph matching

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:42.267917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 28d7c10d-e4c3-4824-b2c7-6c24c97eb7c0 · outbound

This paper cites Quantum bridge analytics i: a tutorial on formulating and using qubo models.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Quantum bridge analytics i: a tutorial on formulating and using qubo models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:42.096091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 22bf076b-445e-48de-85fc-b220d552f064 · outbound

This paper cites Colorrl: reinforced coloring for end-to-end instance segmentation.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Colorrl: reinforced coloring for end-to-end instance segmentation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:41.926754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0ddae25-3f86-4555-9c5f-43beaf8e2713 · outbound

This paper cites A graph coloring approach for image segmentation.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs A graph coloring approach for image segmentation

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:41.795239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 765a5f90-6b37-4297-818f-8b39e64501e7 · outbound

This paper cites Toward quantum gate-model heuristics for real-world planning problems.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Toward quantum gate-model heuristics for real-world planning problems

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:41.689706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c50b70f3-f717-4d84-92da-1f72eab88187 · outbound

This paper cites Towards sustainable industry 4.0: A green real-time iiot multitask scheduling architecture for distributed 3d printing services.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Towards sustainable industry 4.0: A green real-time iiot multitask scheduling architecture for distributed 3d printing services

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:41.537078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 74bfc5df-d157-4ddb-b7b2-3f8fb11dadb3 · outbound

This paper cites A study on course timetable scheduling using graph coloring approach.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs A study on course timetable scheduling using graph coloring approach

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:41.314573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d1786fc-bd8f-4164-a38d-148d91e572f4 · outbound

This paper cites Coloring-based channel allocation for multiple coexisting wireless body area networks: A game-theoretic approach.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Coloring-based channel allocation for multiple coexisting wireless body area networks: A game-theoretic approach

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:41.128055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 73816152-9024-4fc1-98c8-07fb2604ae0f · outbound

This paper cites Hypergraph- based interference avoidance resource management in customer-centric communication for intelligent cyber- physical transportation systems.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Hypergraph- based interference avoidance resource management in customer-centric communication for intelligent cyber- physical transportation systems

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:40.967717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 16af1392-df0d-4fb0-999e-75099044d74e · outbound

This paper cites Uav-assisted emergency communica- tions in social iot: A dynamic hypergraph coloring approach.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Uav-assisted emergency communica- tions in social iot: A dynamic hypergraph coloring approach

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:40.786104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c37abc7a-3777-4dc0-be05-473d07608a9b · outbound

This paper cites A grover search-based algorithm for the list coloring problem.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs A grover search-based algorithm for the list coloring problem

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:40.586240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f62d2466-5ade-4dc5-b5ab-0275384e5549 · outbound

This paper cites Multilevel hypergraph partitioning: Applica- tion in vlsi domain.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Multilevel hypergraph partitioning: Applica- tion in vlsi domain

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:39.863956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bca8a654-317d-4204-a2fc-f0ad7c0dec7b · outbound

This paper cites Mapart: an efficient multi-fpga system-aware hypergraph partitioning framework.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Mapart: an efficient multi-fpga system-aware hypergraph partitioning framework

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:39.469689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 53d250d7-bec2-4605-a7cf-9c66c2faedab · outbound

This paper cites Stochastic shadow detection using a hypergraph partitioning approach.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Stochastic shadow detection using a hypergraph partitioning approach

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:39.307781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 76a042ee-781c-4f34-b552-ed77b0721801 · outbound

This paper cites A novel adaptive hypergraph neural network for enhancing medical image segmentation.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs A novel adaptive hypergraph neural network for enhancing medical image segmentation

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:39.059194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09751a78-6a9e-4202-9dcc-fdafb4d0984e · outbound

This paper cites Social hash partitioner: a scalable distributed hypergraph partitioner.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Social hash partitioner: a scalable distributed hypergraph partitioner

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:38.883954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a338549-2917-4179-8392-fc0b28cd895b · outbound

This paper cites Hepart: A balanced hypergraph partitioning algorithm for big data applications.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Hepart: A balanced hypergraph partitioning algorithm for big data applications

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:38.734338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 902b2082-a820-49f3-af06-d84c3c884ef1 · outbound

This paper cites Automated distribution of quantum circuits via hypergraph partitioning.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Automated distribution of quantum circuits via hypergraph partitioning

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:38.567680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bf93a945-451d-4fdd-b9bc-498da78473cd · outbound

This paper cites Hyper-optimized tensor network contraction.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Hyper-optimized tensor network contraction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:38.368308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e292c983-1f9f-4ccf-bab6-0089b1f7d100 · outbound

This paper cites Regularizing Neural Networks by Penalizing Confident Output Distributions.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:34.343432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08ae57f7-6909-4874-aaf9-dbf8ea29ab08 · outbound

This paper cites PySCIPOpt: Mathematical programming in python with the SCIP optimization suite.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs PySCIPOpt: Mathematical programming in python with the SCIP optimization suite

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:38.214156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e867263-5659-4886-942b-d7fe573ef397 · outbound

This paper cites Tabu search.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Tabu search

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:38.118482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d3decd93-ed46-4793-909d-57f2a6604694 · outbound

This paper cites Scalable high-quality hypergraph partitioning.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Scalable high-quality hypergraph partitioning

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:37.946517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9d2f1fed-2756-4ec0-a758-d9822e3fe6df · outbound

This paper cites Hgnn+: General hypergraph neural networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3181–3199, 2022.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Hgnn+: General hypergraph neural networks.IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(3):3181–3199, 2022

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:47:34.696635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 729a90ee-8573-4a2a-9a96-06587ce7ade1 · outbound

This paper cites Hypergraph neural networks.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Hypergraph neural networks

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:37.765960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d65e9dca-bdbe-41b1-a43e-b65ef32c4a71 · outbound

This paper cites Inductive representation learning on large graphs.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Inductive representation learning on large graphs

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:37.553238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ba97d22-d932-4aff-8ae7-61c85e21c834 · outbound

This paper cites Graph attention networks.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Graph attention networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:37.365938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 421d2bc6-2f16-4751-925f-e85dd42c5005 · outbound

This paper cites Contrastive learning network for unsupervised graph matching.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Contrastive learning network for unsupervised graph matching

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:37.093593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5c6baf28-8011-4a52-ad29-05f9edc94644 · outbound

This paper cites Improving graph matching with positional reconstruction encoder-decoder network.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Improving graph matching with positional reconstruction encoder-decoder network

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:36.938242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d86773f3-cc46-448a-b11e-a9012d40be6e · outbound

This paper cites Discrete cycle-consistency based unsupervised deep graph matching.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Discrete cycle-consistency based unsupervised deep graph matching

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:36.669497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b0a3c10-e3fe-450d-94e7-20ebe429644c · outbound

This paper cites Specpart: A supervised spectral framework for hypergraph partitioning solution improvement.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Specpart: A supervised spectral framework for hypergraph partitioning solution improvement

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:36.500763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f402bb2d-1db6-4d42-9f3d-d94855357036 · outbound

This paper cites K-specpart: Supervised embedding algorithms and cut overlay for improved hypergraph partitioning.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs K-specpart: Supervised embedding algorithms and cut overlay for improved hypergraph partitioning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:36.321941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47375259-df35-4c8f-b7b1-10aad1ba1ad8 · outbound

This paper cites Hypergraph partitioning with embeddings.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Hypergraph partitioning with embeddings

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:47:36.103511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7e7a75b-c328-4154-970b-ce6e5e49ff8d · outbound

This paper cites an unresolved cited work.

Deep k-grouping: An Unsupervised Learning Framework for Combinatorial Optimization on Graphs and Hypergraphs Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:47:35.950032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.