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Paper Citation Record · LEDGER

Compositional Generative Modeling from Decentralized Data

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2606.10153.

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

pith.paper-citation-record.v1
2606.10153 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T17:25:36.129471Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

49 of 49 outbound references displayed

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  • verified fuzzy0
  • unresolved46
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

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Outbound references

Observation f986f5b3-10ff-4b09-aa97-caf20b4198b1 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Compositional Generative Modeling from Decentralized Data Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 1

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Observation 888f5de4-a1d6-4249-86ad-9cdb78c39504 · outbound

This paper cites Generative Machine Learning Models in Medical Image Computing , pages=.

Compositional Generative Modeling from Decentralized Data Generative Machine Learning Models in Medical Image Computing , pages=

Reference 2

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Observation 82936a49-1a8f-4dc0-bc0b-41736c0ae5ee · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Compositional Generative Modeling from Decentralized Data Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 3

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Observation b804ce5a-559e-40e6-860f-3970f2f9e219 · outbound

This paper cites International Conference on Learning Representations , year=.

Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 4

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Observation 9169c1b1-e36a-4577-af9a-f3cf9448a328 · outbound

This paper cites Neurocomputing , volume=.

Compositional Generative Modeling from Decentralized Data Neurocomputing , volume=

Reference 5

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Observation b3fa475f-5a8f-4c27-889c-85e7d55d7991 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Compositional Generative Modeling from Decentralized Data Advances in Neural Information Processing Systems , volume=

Reference 6

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Observation 8722158e-32fc-4fb7-ba69-200503a0f67a · outbound

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Compositional Generative Modeling from Decentralized Data Unresolved cited work

Reference 7

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Observation 3ae32d58-bd6b-4874-9eb6-824a8ac574af · outbound

This paper cites International Conference on Learning Representations , year=.

Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 8

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Observation bea9805f-5c9a-41f9-96ca-14c0044ab771 · outbound

This paper cites International Conference on Learning Representations , year=.

Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 9

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Observation 2a4cf329-d589-4c28-8888-25eebb6de457 · outbound

This paper cites International Conference on Learning Representations , year=.

Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 10

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Observation 200404f0-4d51-4e8e-9718-99e266995277 · outbound

This paper cites Medical image analysis , volume=.

Compositional Generative Modeling from Decentralized Data Medical image analysis , volume=

Reference 11

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Observation d0bae8d1-d009-47a8-946b-a6e36ba32c44 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Compositional Generative Modeling from Decentralized Data Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 12

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Observation 7da55087-e088-4c59-99f4-5b1d18addec8 · outbound

This paper cites International Conference on Learning Representations , year=.

Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 13

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Observation 1e1e4479-d797-4487-be9f-ae13d6862070 · outbound

This paper cites Artificial intelligence and statistics , pages=.

Compositional Generative Modeling from Decentralized Data Artificial intelligence and statistics , pages=

Reference 14

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Observation 080c0b22-c7bd-4eef-a062-1d5ec3bf14e1 · outbound

This paper cites Companion Proceedings of the ACM on Web Conference 2024 , pages=.

Compositional Generative Modeling from Decentralized Data Companion Proceedings of the ACM on Web Conference 2024 , pages=

Reference 15

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Observation cd9ea01a-0ad2-4517-a3ee-c1b1bb7e3fc7 · outbound

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Compositional Generative Modeling from Decentralized Data 2023 International Conference on Advanced Technologies for Communications (ATC) , pages=

Reference 16

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Observation 51ce638f-24da-425a-8f5e-f730a6aa5aa6 · outbound

This paper cites Training Diffusion Models with Federated Learning.

Compositional Generative Modeling from Decentralized Data Training Diffusion Models with Federated Learning

Reference 17

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Observation 6878b453-2605-4978-9329-ec27afc75a7a · outbound

This paper cites FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models.

Compositional Generative Modeling from Decentralized Data FedDM: Enhancing Communication Efficiency and Handling Data Heterogeneity in Federated Diffusion Models

Reference 18

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arxiv_id, observed 2026-07-03T00:07:28.680490Z

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Observation fdd44c3b-6749-450a-ac88-7db5e7792ed9 · outbound

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Compositional Generative Modeling from Decentralized Data IEEE Transactions on Cognitive Communications and Networking , year=

Reference 19

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Observation ff2903a6-cacb-4589-b032-91642ca0ffd5 · outbound

This paper cites Guided Flows for Generative Modeling and Decision Making.

Compositional Generative Modeling from Decentralized Data Guided Flows for Generative Modeling and Decision Making

Reference 20

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Observation 2ee837f8-4903-45fd-a551-231e84eaafb5 · outbound

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Compositional Generative Modeling from Decentralized Data NeurIPS Workshop on Deep Generative Models and Downstream Applications , year=

Reference 21

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Observation 19dac102-776f-40b0-a11a-97ec17afdb3e · outbound

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Compositional Generative Modeling from Decentralized Data Transactions on Machine Learning Research , year=

Reference 22

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Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 23

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Compositional Generative Modeling from Decentralized Data Advances in neural information processing systems , volume=

Reference 24

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Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 25

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Observation 3d8dfcc7-536f-4407-b242-ba2a1f6f60d9 · outbound

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Compositional Generative Modeling from Decentralized Data 2009 , publisher=

Reference 26

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Compositional Generative Modeling from Decentralized Data Advances in neural information processing systems , volume=

Reference 27

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Compositional Generative Modeling from Decentralized Data Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 28

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Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 29

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Compositional Generative Modeling from Decentralized Data Neural Information Processing Systems , year=

Reference 30

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Compositional Generative Modeling from Decentralized Data Neural Information Processing Systems , year=

Reference 31

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Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 32

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Compositional Generative Modeling from Decentralized Data International Conference on Machine Learning , year=

Reference 33

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Compositional Generative Modeling from Decentralized Data International Conference on Machine Learning , year=

Reference 34

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Compositional Generative Modeling from Decentralized Data European conference on computer vision , year=

Reference 35

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Compositional Generative Modeling from Decentralized Data International conference on machine learning , year=

Reference 36

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Compositional Generative Modeling from Decentralized Data Advances in Neural Information Processing Systems , year=

Reference 37

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Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 38

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Compositional Generative Modeling from Decentralized Data Forty-first international conference on machine learning , year=

Reference 39

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Observation 0fa614f1-5dd3-4bd3-8705-628b5d834308 · outbound

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Compositional Generative Modeling from Decentralized Data Advances in neural information processing systems , volume=

Reference 40

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Observation 370062a1-99b6-4c1b-a88d-72cffa2b5720 · outbound

This paper cites International conference on machine learning , pages=.

Compositional Generative Modeling from Decentralized Data International conference on machine learning , pages=

Reference 41

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Observation 9daecae9-d280-4d1f-b9af-9fcf0be929de · outbound

This paper cites International Conference on Learning Representations , year=.

Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations , year=

Reference 42

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Observation 06c232b1-0b73-448f-8ee7-35b1027d64c7 · outbound

This paper cites Advances in neural information processing systems , volume=.

Compositional Generative Modeling from Decentralized Data Advances in neural information processing systems , volume=

Reference 43

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Observation 6e0442e9-ecb4-4791-b40b-60d484642fcc · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Compositional Generative Modeling from Decentralized Data Advances in Neural Information Processing Systems , volume=

Reference 44

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Observation 38e966c7-8aef-4422-af7a-13a747e9c465 · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

Compositional Generative Modeling from Decentralized Data International Conference on Learning Representations (ICLR) , year=

Reference 45

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Observation 42c57cb1-008e-45cc-b799-37247de25d41 · outbound

This paper cites IEEE Conference on Computer Vision and Pattern Recognition , year=.

Compositional Generative Modeling from Decentralized Data IEEE Conference on Computer Vision and Pattern Recognition , year=

Reference 46

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Observation 58bc5c1f-ff48-4458-94d8-9b77e267ed9c · outbound

This paper cites Advances in neural information processing systems , volume=.

Compositional Generative Modeling from Decentralized Data Advances in neural information processing systems , volume=

Reference 47

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Observation 4d2cf2c7-c5d7-47d9-b415-b288fe3e82e6 · outbound

This paper cites Advances in neural information processing systems , volume=.

Compositional Generative Modeling from Decentralized Data Advances in neural information processing systems , volume=

Reference 48

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Observation 67fd117e-9d96-474f-bf08-a991bd2dada9 · outbound

This paper cites http://yann.

Compositional Generative Modeling from Decentralized Data http://yann

Reference 49

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Pith citing papers

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