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Paper Citation Record · LEDGER

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences

As of 19 August 2026, this Paper Citation Record lists 100 of 225 outbound references and 0 inbound Pith citation observations for arXiv:2508.01589.

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

pith.paper-citation-record.v1
2508.01589 v1

Coverage vector

measured 100 of 225 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:35:39.397505Z

measured 100 of 100 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 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

100 of 225 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved87
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2cf378ff-3a25-461c-b190-e39fecfd82d2 · outbound

This paper cites A Survey of Diffusion Models in Natural Language Processing.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A Survey of Diffusion Models in Natural Language Processing

Reference 10

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Observation 581c5681-d16c-42b2-abb8-f98229d1d925 · outbound

This paper cites A survey of multimodal controllable diffusion models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A survey of multimodal controllable diffusion models,

Reference 11

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Observation 922a2718-0f02-43b4-8057-384081bd30bb · outbound

This paper cites Stability ai,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Stability ai,

Reference 12

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Observation 61c017ed-d7e7-4fca-b137-e92116469946 · outbound

This paper cites A survey on generative diffusion models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A survey on generative diffusion models,

Reference 13

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Observation 2b5f482f-15ba-421b-bb10-6d4813d85a52 · outbound

This paper cites High-resolution image synthesis with latent diffusion models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences High-resolution image synthesis with latent diffusion models,

Reference 14

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Observation f7c50b31-0965-4d02-b22a-3e73b891f97e · outbound

This paper cites Generating high dimensional user-specific wireless channels using diffusion models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generating high dimensional user-specific wireless channels using diffusion models,

Reference 15

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Observation 3d263eeb-95cd-40fb-8602-6a3c21178fed · outbound

This paper cites Gen- erative diffusion models for radio wireless channel modelling and sampling,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Gen- erative diffusion models for radio wireless channel modelling and sampling,

Reference 16

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Observation c4fb28fe-86cd-4c26-a3e2-3d5b601e43ed · outbound

This paper cites A Massive MIMO Sampling Detection Strategy Based on Denoising Diffusion Model.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A Massive MIMO Sampling Detection Strategy Based on Denoising Diffusion Model

Reference 17

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local_arxiv, observed 2026-08-06T05:35:50.422800Z

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

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Observation 4cf5d032-502d-4fb9-bcdf-e227e800d40f · outbound

This paper cites Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communications.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Maximum-Likelihood Estimation Based on Diffusion Model For Wireless Communications

Reference 18

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

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Observation 97c53041-0371-4d92-8d1c-1aba0065a5db · outbound

This paper cites Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative AI for Data Augmentation in Wireless Networks: Analysis, Applications, and Case Study

Reference 19

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Observation df4341d7-5ed8-42d2-ab93-f653ff0e1a40 · outbound

This paper cites A conditional diffusion model based wifi sensing enhancement method,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A conditional diffusion model based wifi sensing enhancement method,

Reference 20

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Observation c4281d2e-96f2-4431-8c98-1a55e06b29f9 · outbound

This paper cites The integrated sensing and communication revolution for 6G: Vision, techniques, and applications,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences The integrated sensing and communication revolution for 6G: Vision, techniques, and applications,

Reference 21

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Observation 426ef8ab-ed7c-4aaa-a01f-6ead19bfd8d1 · outbound

This paper cites Energy efficiency maximization in ris-assisted swipt networks with rsma: A ppo-based approach,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Energy efficiency maximization in ris-assisted swipt networks with rsma: A ppo-based approach,

Reference 22

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Observation da8e7fca-e5f5-4a0d-877a-5392fb9cdaae · outbound

This paper cites Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Dependency-Aware CAV Task Scheduling via Diffusion-Based Reinforcement Learning

Reference 23

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Observation 9fe724e1-340c-4212-aec2-9a5279a13283 · outbound

This paper cites Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networks

Reference 24

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

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Observation 7086bb44-0db2-4f23-861a-3da770054761 · outbound

This paper cites Ai empowered wireless communications: From bits to semantics,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Ai empowered wireless communications: From bits to semantics,

Reference 25

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Observation f9ba4e40-e155-4f89-98d2-fa280ced91e2 · outbound

This paper cites Semantic communication: A survey on research landscape, challenges, and future directions,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Semantic communication: A survey on research landscape, challenges, and future directions,

Reference 26

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Observation 4e8a9ff9-87e4-41ab-a069-991f42d77f4e · outbound

This paper cites Temporal prompt engi- neering for generative semantic communication,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Temporal prompt engi- neering for generative semantic communication,

Reference 27

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Observation 2ea57dea-1806-4caf-b7c6-868f09e2dfdd · outbound

This paper cites Interactive ai with retrieval-augmented generation for next generation networking,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Interactive ai with retrieval-augmented generation for next generation networking,

Reference 28

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Observation aafa0a5c-a543-4107-82cc-0b51d2e9cddf · outbound

This paper cites Safeguarding next-generation multiple access using physical layer security techniques: A tutorial,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Safeguarding next-generation multiple access using physical layer security techniques: A tutorial,

Reference 29

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Observation 021b7963-a682-43dd-88c9-aa2d8a573168 · outbound

This paper cites Hybrid rag-empowered multimodal llm for secure data management in internet of medical things: A diffusion- based contract approach,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Hybrid rag-empowered multimodal llm for secure data management in internet of medical things: A diffusion- based contract approach,

Reference 30

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Observation 72249bc4-42cb-44b7-9dca-dd08fd267a28 · outbound

This paper cites At the dawn of generative ai era: A tutorial-cum-survey on new frontiers in 6g wireless intelligence,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences At the dawn of generative ai era: A tutorial-cum-survey on new frontiers in 6g wireless intelligence,

Reference 31

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Observation 3c0aba7c-0740-47e4-b092-ea734e8aee1f · outbound

This paper cites Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative AI-Driven Human Digital Twin in IoT-Healthcare: A Comprehensive Survey

Reference 32

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

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Observation 0a3f6b35-82ea-4a0e-9922-e33e358b2898 · outbound

This paper cites Diffusion Models for Smarter UAVs: Decision-Making and Modeling.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion Models for Smarter UAVs: Decision-Making and Modeling

Reference 33

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Observation 63d39129-5ee9-4e7d-b2d8-4ec085fea4b3 · outbound

This paper cites A revolution of personalized healthcare: Enabling human digital twin with mobile aigc,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A revolution of personalized healthcare: Enabling human digital twin with mobile aigc,

Reference 34

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Observation ce03f147-9d33-4105-a887-93b72727a75b · outbound

This paper cites Integration of federated learning and ai-generated content: A survey of overview, op- portunities, challenges, and solutions,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Integration of federated learning and ai-generated content: A survey of overview, op- portunities, challenges, and solutions,

Reference 35

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Observation 3eeb6378-0e8f-4ad7-b22b-717fe59107fb · outbound

This paper cites Generative AI for Energy Harvesting Internet of Things Network: Fundamental, Applications, and Opportunities.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative AI for Energy Harvesting Internet of Things Network: Fundamental, Applications, and Opportunities

Reference 36

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

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Observation 2a5c0709-aac9-4bc6-9d72-d718d4f49868 · outbound

This paper cites Applications of generative ai (gai) for mobile and wireless networking: A survey,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Applications of generative ai (gai) for mobile and wireless networking: A survey,

Reference 37

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Observation 8f5fdf1f-a2c7-4fd8-960b-ea99b6d7cef6 · outbound

This paper cites Denoising diffusion probabilistic models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Denoising diffusion probabilistic models,

Reference 38

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Observation a80d2d82-075b-46e9-ae2c-3d541ab622d7 · outbound

This paper cites Improved denoising diffusion prob- abilistic models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Improved denoising diffusion prob- abilistic models,

Reference 39

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Observation dd6995e2-3613-44b8-b802-274d8602ace5 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative modeling by estimating gradients of the data distribution,

Reference 40

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Observation 0b796d9a-c222-45f2-bcc4-d9aaea9b7119 · outbound

This paper cites Improved techniques for training score- based generative models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Improved techniques for training score- based generative models,

Reference 41

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Observation b4184e6c-fd8c-472d-afe6-477bb8b56466 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Score-Based Generative Modeling through Stochastic Differential Equations

Reference 42

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Observation c477538b-7d10-4469-856b-c4d5b35cc904 · outbound

This paper cites Maximum likelihood training of score-based diffusion models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Maximum likelihood training of score-based diffusion models,

Reference 43

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Observation 9c059ec2-4d2d-46c9-a3c4-26a9513721cf · outbound

This paper cites Selection-based image generation for semantic communication systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Selection-based image generation for semantic communication systems,

Reference 44

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Observation 3af2086c-7314-48c4-9a82-ce22f1b1f784 · outbound

This paper cites DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences DRL Optimization Trajectory Generation via Wireless Network Intent-Guided Diffusion Models for Optimizing Resource Allocation

Reference 45

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local_arxiv, observed 2026-08-06T05:35:49.256046Z

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.

source=pdf_text observed=2026-08-06T05:35:39.104782Z digest=sha256:1c75a56e9baa9de25c71646b52447051311c38928246cbdfb58da9b87ae1ef11

Observation 40c40814-45cd-4342-8436-c8722c4e3e8a · outbound

This paper cites Generative diffusion model-based deep reinforcement learning for uplink rate-splitting multiple access in leo satellite networks,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative diffusion model-based deep reinforcement learning for uplink rate-splitting multiple access in leo satellite networks,

Reference 46

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source=pdf_text observed=2026-08-06T05:35:39.109415Z digest=sha256:5355ba1d6a81b117f66c827f92e2255ff4b7e0ac8e4882f1b596be2d3ae6f240

Observation 62ef8c3a-8c8a-4a9f-a6ed-bd94022bc236 · outbound

This paper cites Mimo channel estimation using score- based generative models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Mimo channel estimation using score- based generative models,

Reference 47

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source=pdf_text observed=2026-08-06T05:35:39.113913Z digest=sha256:f36ed7f6dfd5f45cbf29f8e24e277e2a006378e364dcefe01409e4af2e382941

Observation bf90da21-f119-4be8-9d3c-d4ca748f79c7 · outbound

This paper cites Score-based generative modeling for mimo detection without knowledge of noise statistics,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Score-based generative modeling for mimo detection without knowledge of noise statistics,

Reference 48

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source=pdf_text observed=2026-08-06T05:35:39.119021Z digest=sha256:abb8157ce3512a8b98fd4a713ce7912bac5989b4d695caa7ea11daee27311c40

Observation dbfba4c2-1568-4e06-9c29-accb5df75306 · outbound

This paper cites Adversarial score-based generative models for mmse-achieving ambc channel estimation,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Adversarial score-based generative models for mmse-achieving ambc channel estimation,

Reference 49

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source=pdf_text observed=2026-08-06T05:35:39.123571Z digest=sha256:3573d141a70d6544d03892580c35c6b9e9e24aa696ed8e08d639387d796a88d1

Observation ec3ddce3-fab6-4ceb-ac09-774842b14757 · outbound

This paper cites Reverse-time diffusion equation models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Reverse-time diffusion equation models,

Reference 50

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source=pdf_text observed=2026-08-06T05:35:39.128227Z digest=sha256:a2606135ab723548422722c368190fff206bb37a7c4d3d6a6dd2f6dfd6a8b00f

Observation 8bb039e3-e5b1-4ce2-92ac-0b1afdd923a6 · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Gotta Go Fast When Generating Data with Score-Based Models

Reference 51

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source=pdf_text observed=2026-08-06T05:35:39.132884Z digest=sha256:56ad9629127eae2ead0fb26e2e0dc2e3a88d4354b5531427ae8d8a8e430652f7

Observation 973f2d75-ccbd-477e-9a18-c47d9d4ea07d · outbound

This paper cites Fast Sampling of Diffusion Models with Exponential Integrator.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Fast Sampling of Diffusion Models with Exponential Integrator

Reference 52

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source=pdf_text observed=2026-08-06T05:35:39.137997Z digest=sha256:c805dabce296c607bd1020dc07732f9d4f506ab6f36a536dcfb564b4ef1a9c28

Observation d5ed7efd-d655-47c5-bf90-1a6ffc92bd3d · outbound

This paper cites Denoising Diffusion Implicit Models.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Denoising Diffusion Implicit Models

Reference 53

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source=pdf_text observed=2026-08-06T05:35:39.143131Z digest=sha256:04e1a6e90fc6bb634c856698a9d4e73136e16c4776a2232ac9c0072519d1eb48

Observation 6709d5b8-58eb-4525-954c-69599535c301 · outbound

This paper cites SCDM: Score-Based Channel Denoising Model for Digital Semantic Communications.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences SCDM: Score-Based Channel Denoising Model for Digital Semantic Communications

Reference 54

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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.

source=pdf_text observed=2026-08-06T05:35:39.147309Z digest=sha256:51ad571fa1cf921ac639cc4d90487f962372c87f7aa810a362fa1a0923fdce6d

Observation e37ce565-8d13-4f0b-9d0e-ada72310f042 · outbound

This paper cites Diffusion Models as Network Optimizers: Explorations and Analysis.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion Models as Network Optimizers: Explorations and Analysis

Reference 55

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source=pdf_text observed=2026-08-06T05:35:39.151828Z digest=sha256:f7f11021607dde027fdd057741374f2d1d39a8b678391e521e8e10bd6f566f90

Observation 45669fc1-6612-491e-b850-486c373ecc53 · outbound

This paper cites Classifier-free diffusion guidance,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Classifier-free diffusion guidance,

Reference 56

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source=pdf_text observed=2026-08-06T05:35:39.156716Z digest=sha256:7f3b3abc5be311f008c48846ecd7bc552fe44190192c19b538b5a4e1af099fe5

Observation c22cd4fb-e67f-4ed2-b792-935741145258 · outbound

This paper cites IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Reference 57

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source=pdf_text observed=2026-08-06T05:35:39.160921Z digest=sha256:69b6062fddfd73e1a395a5821aea8d794ab22df43e750a25b8f44966f6cf8cb4

Observation 29540042-fb30-4f1b-92bc-5e8b4312a4a1 · outbound

This paper cites Planning with Diffusion for Flexible Behavior Synthesis.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Planning with Diffusion for Flexible Behavior Synthesis

Reference 58

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source=pdf_text observed=2026-08-06T05:35:39.165720Z digest=sha256:d524f609c3145f06bcd85f8e53a4675ddaf9b03c91a973c2aa92b042e5cee6e7

Observation 23a38298-109c-4429-9982-22c85388ac4d · outbound

This paper cites Diffuser: Generative planning with diffusion models for autonomous systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffuser: Generative planning with diffusion models for autonomous systems,

Reference 59

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source=pdf_text observed=2026-08-06T05:35:39.170420Z digest=sha256:2b97b88938401fc874552557de58310b672d03d050ca45904f20d96346e35811

Observation ccae9c49-6f7c-4d25-8139-2e15da641407 · outbound

This paper cites Diffusion model based resource allocation strategy in ultra-reliable wireless networked control sys- tems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion model based resource allocation strategy in ultra-reliable wireless networked control sys- tems,

Reference 60

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source=pdf_text observed=2026-08-06T05:35:39.174956Z digest=sha256:7e575c772242613c949a39dcb2ca8bd406b335b3bcd03ff05f6c0d09e907b133

Observation 48afff7e-5ddc-403e-8766-5c9a207f71d8 · outbound

This paper cites Uav- enabled secure data collection and energy transfer in iot via diffusion- model-enhanced deep reinforcement learning,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Uav- enabled secure data collection and energy transfer in iot via diffusion- model-enhanced deep reinforcement learning,

Reference 61

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source=pdf_text observed=2026-08-06T05:35:39.179469Z digest=sha256:eb4821c4530fac964a4ec670644250ba56b0e4447d4ecf5f0b726dfabf4e321d

Observation d00d6b36-afcd-4211-a035-8ddc53c57761 · outbound

This paper cites Multi- objective aerial collaborative secure communication optimization via generative diffusion model-enabled deep reinforcement learning,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Multi- objective aerial collaborative secure communication optimization via generative diffusion model-enabled deep reinforcement learning,

Reference 62

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source=pdf_text observed=2026-08-06T05:35:39.184224Z digest=sha256:f722877a09c7898673d79ed3d98e5f3a9876449aaf01bc74efe2a8d92a266538

Observation d554c287-c668-4201-a1a7-f70027530b01 · outbound

This paper cites Incentive- compatible diffusion,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Incentive- compatible diffusion,

Reference 63

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source=pdf_text observed=2026-08-06T05:35:39.188670Z digest=sha256:b85aaae52aaf934aa49d70648d084997adff980d374391a51d277aec9d635204

Observation d8e72d83-f884-4d0a-806c-4dbf96be3a18 · outbound

This paper cites Ai- generated incentive mechanism and full-duplex semantic communica- tions for information sharing,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Ai- generated incentive mechanism and full-duplex semantic communica- tions for information sharing,

Reference 64

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source=pdf_text observed=2026-08-06T05:35:39.193431Z digest=sha256:0292c7b7bfb4ad5f1ac48c754a81ed65963cf8d78d92e69bf5fc09c5f7be2ae7

Observation bb397e07-4226-4003-81d7-5dbc42c937c6 · outbound

This paper cites Sustainable diffusion-based incentive mechanism for generative AI-driven digital twins in industrial cyber-physical systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Sustainable diffusion-based incentive mechanism for generative AI-driven digital twins in industrial cyber-physical systems,

Reference 65

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source=pdf_text observed=2026-08-06T05:35:39.197921Z digest=sha256:347ef29ffc55fba6ae0f361726945104b92250ddbc86a158ec8424ef4a3c1c2e

Observation ab5a1b8e-7175-489b-8a83-f9e2ec133466 · outbound

This paper cites Diffusion-model-based incentive mechanism with prospect theory for edge aigc services in 6g iot,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion-model-based incentive mechanism with prospect theory for edge aigc services in 6g iot,

Reference 66

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source=pdf_text observed=2026-08-06T05:35:39.202316Z digest=sha256:35aae585856f8665d3d7636704b1fe73c42bd34b74b6c7ca8393fff7a085e8b5

Observation 3670fbed-a2d9-454d-a168-0a7db34ce29a · outbound

This paper cites Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative Diffusion-based Contract Design for Efficient AI Twins Migration in Vehicular Embodied AI Networks

Reference 67

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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.

source=pdf_text observed=2026-08-06T05:35:39.206632Z digest=sha256:6d87e7f9f20919ebd7b20ee00730d3cebf16cfe9e19e8483b15e5f50a760c7c7

Observation be75e582-bea4-4e6d-9687-f7e919de9fa4 · outbound

This paper cites Optimizing aigc services by prompt engineering and edge computing: A generative diffusion model-based contract theory approach,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Optimizing aigc services by prompt engineering and edge computing: A generative diffusion model-based contract theory approach,

Reference 68

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source=pdf_text observed=2026-08-06T05:35:39.211333Z digest=sha256:cc6d29b4e558fc1716d973879eff835a3360c603466e95092978429e77e12973

Observation 08910676-5114-414f-aae2-eb24a817dd1f · outbound

This paper cites Optimal diffusion auctions,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Optimal diffusion auctions,

Reference 69

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source=pdf_text observed=2026-08-06T05:35:39.215543Z digest=sha256:f1b91de17c01da6f7d578c3bd43c6413d481c9f6f604b56465d42991b365ce9b

Observation 71215c81-0091-4e87-a51e-51efb12aef70 · outbound

This paper cites Incentive-compatible diffusion auctions,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Incentive-compatible diffusion auctions,

Reference 70

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source=pdf_text observed=2026-08-06T05:35:39.219857Z digest=sha256:5b6d61208cd9a48414bc1060ec195541e933f5e955ed898ae8d50cb4820e9321

Observation 3126d81d-9b0a-466a-bea7-e84d1abba041 · outbound

This paper cites Multi-unit Auction over a Social Network.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Multi-unit Auction over a Social Network

Reference 71

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source=pdf_text observed=2026-08-06T05:35:39.224246Z digest=sha256:73facce041d584a3206bf20631e546e1dc9070d2866961f12a441b70eab74c5d

Observation 1c288a85-36a4-4f0d-b4e8-8d01829e82ed · outbound

This paper cites Channel estimation and hybrid combining for wideband terahertz massive mimo systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel estimation and hybrid combining for wideband terahertz massive mimo systems,

Reference 72

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source=pdf_text observed=2026-08-06T05:35:39.229728Z digest=sha256:f2d1a815da301b73a63806772252fe68e25f4746be62e9df1f36db5816469bf4

Observation 078b5a53-e654-423c-ab04-1427a557e358 · outbound

This paper cites Channel modeling and characteristics for 6g wireless communications,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel modeling and characteristics for 6g wireless communications,

Reference 73

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source=pdf_text observed=2026-08-06T05:35:39.234074Z digest=sha256:1273af985be7512b5e205f5b6850b888490d4686e43db4bd7a3ffa71d4752f21

Observation a3700d33-d19a-432a-9651-ed68b6bb9c8c · outbound

This paper cites Channel estimation for ofdm,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel estimation for ofdm,

Reference 74

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source=pdf_text observed=2026-08-06T05:35:39.238421Z digest=sha256:c6e7a429fcb7dae41e2511041fd9e5a4a5f8c8d3ced1fe83709030fa434c8c75

Observation c7b651f7-7daa-48c5-bb31-d6ecc3385ad0 · outbound

This paper cites Chanestnet: A deep learning based channel estimation for high-speed scenarios,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Chanestnet: A deep learning based channel estimation for high-speed scenarios,

Reference 75

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source=pdf_text observed=2026-08-06T05:35:39.242952Z digest=sha256:891da7fa0e4e9daa26168648387265d2fe23465f6d847441552cac27fa4ea953

Observation db8e1c2e-c94e-4817-94dd-1a0cdd04cf56 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and applications,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion models: A comprehensive survey of methods and applications,

Reference 76

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source=pdf_text observed=2026-08-06T05:35:39.248274Z digest=sha256:c38750af37e33d11fa044e7ee41dcf203cb1c0760fa95f39fea1311ca7197935

Observation 708ae779-bd8c-4ff7-b669-0134f96ed31a · outbound

This paper cites Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Enhancing deep reinforcement learning: A tutorial on generative diffusion models in network optimization,

Reference 77

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source=pdf_text observed=2026-08-06T05:35:39.253329Z digest=sha256:496901d12780931e48e4c479f6f720545bb804e63655cd434430ff82063bdc06

Observation 7d455971-5e88-417a-a8df-893daad20e7e · outbound

This paper cites Fully-decoupled ran for feedback-free multi-base station transmission in mimo-ofdm system,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Fully-decoupled ran for feedback-free multi-base station transmission in mimo-ofdm system,

Reference 78

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source=pdf_text observed=2026-08-06T05:35:39.257915Z digest=sha256:b63b8456d7ec0b132667175c10c463c63589379bac331bc4bb0cb5a08f7bdec6

Observation 3b3e50e6-8daa-40d9-b706-afd9d1235318 · outbound

This paper cites A connection between score matching and denoising autoencoders,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A connection between score matching and denoising autoencoders,

Reference 79

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source=pdf_text observed=2026-08-06T05:35:39.262404Z digest=sha256:5468e311f055f06663bdd1f24d091b71fc94e1588c96e3fb9184ab9e0e7f76dd

Observation 02fcce01-05ab-4c8d-816f-aa8e5e7b5a64 · outbound

This paper cites A denoising diffusion probabilistic model based data augmentation method for wireless chan- nel,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A denoising diffusion probabilistic model based data augmentation method for wireless chan- nel,

Reference 80

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source=pdf_text observed=2026-08-06T05:35:39.267780Z digest=sha256:a5525941d6bbf64465b9823526fe2416b7026a184ea14746337b0e9687a24919

Observation 701a3869-5b63-41c5-af36-e69bba6f7a65 · outbound

This paper cites A denoising diffusion probabilistic model-based digital twinning of isac mimo channel,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences A denoising diffusion probabilistic model-based digital twinning of isac mimo channel,

Reference 81

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source=pdf_text observed=2026-08-06T05:35:39.272264Z digest=sha256:99a003cc18230d1d5d0b787b40c3e70d5666968bd0b73f0449cc1a33b8e877a8

Observation ed33d8d5-6070-41ab-9c25-e67ebeb32f94 · outbound

This paper cites Cddm: Channel denoising diffusion models for wireless communications,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Cddm: Channel denoising diffusion models for wireless communications,

Reference 82

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source=pdf_text observed=2026-08-06T05:35:39.276792Z digest=sha256:8863c31d08cd0fa0acf6c11ecc2cba6c3b90e5f3bf1c7c2403117942b00d935b

Observation 04d1bbfd-b050-48a9-9984-1201b42a9d76 · outbound

This paper cites Joint design of denoising diffusion probabilistic models and ldpc decoding for wireless communications,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Joint design of denoising diffusion probabilistic models and ldpc decoding for wireless communications,

Reference 83

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Observation 7c283a39-892f-4ecf-993d-8bfeb6699302 · outbound

This paper cites Generative ai for space-air-ground integrated networks,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative ai for space-air-ground integrated networks,

Reference 84

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source=pdf_text observed=2026-08-06T05:35:39.285663Z digest=sha256:61141deab5ac6eb5cdd95a70ce2e522809ce1af150bddafd4ab330d778fe6dc0

Observation b73ba253-dcb2-426f-b51f-fd3999f98ee1 · outbound

This paper cites Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Radiodiff: An effective generative diffusion model for sampling-free dynamic radio map construction,

Reference 85

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source=pdf_text observed=2026-08-06T05:35:39.290073Z digest=sha256:d779c0b3ed94796e001377a54c52c7d6061999cb7ce66e59278ea5fe2c4cef41

Observation 51f5774f-011c-4a9c-bad5-3a3c84f67be6 · outbound

This paper cites Successive Interference Cancellation-aided Diffusion Models for Joint Channel Estimation and Data Detection in Low Rank Channel Scenarios.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Successive Interference Cancellation-aided Diffusion Models for Joint Channel Estimation and Data Detection in Low Rank Channel Scenarios

Reference 86

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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.

source=pdf_text observed=2026-08-06T05:35:39.294341Z digest=sha256:f3823985697b1422abe69474c667a3992b69ff8bcadf8db93b4a78469c3deaf1

Observation 11f8245e-25e3-4e89-90e0-c80161074f0e · outbound

This paper cites Generative artificial intelligence for mobile communications: A diffusion model perspective,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative artificial intelligence for mobile communications: A diffusion model perspective,

Reference 87

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source=pdf_text observed=2026-08-06T05:35:39.298886Z digest=sha256:bda86816a0c0ebeecbae73e4fe65db3f4fc141a4f4015fe339c039a2960a5a2a

Observation 8b4bf3c1-a4df-4c40-bec0-ce38cfa50a61 · outbound

This paper cites DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systems.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences DMCE: Diffusion Model Channel Enhancer for Multi-User Semantic Communication Systems

Reference 88

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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.

source=pdf_text observed=2026-08-06T05:35:39.303444Z digest=sha256:d3ee1ff71fe9791a7c7d22c7ff4db94a51d3edd6acc3fe9261b26db6904b335f

Observation cde6d7d0-3367-4a2e-a844-502182b19365 · outbound

This paper cites Dif- fusion model based channel estimation,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Dif- fusion model based channel estimation,

Reference 89

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source=pdf_text observed=2026-08-06T05:35:39.308116Z digest=sha256:7bbc6fb0a0f1fa179d6d01c6b96841cec11db705f521a0e6d9298fb813362806

Observation 84d4bbca-b55a-4564-9259-ede93d21e756 · outbound

This paper cites Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Mfnet: Towards real-time semantic segmentation for autonomous vehicles with multi-spectral scenes,

Reference 90

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source=pdf_text observed=2026-08-06T05:35:39.312520Z digest=sha256:b32275bf55ca23916dc2c43bacbea120a336290cfce2f8e19b41054891fe15f5

Observation 5bf371bd-ed65-4fe6-ae0b-0785b378a292 · outbound

This paper cites Joint channel estimation and data detection in massive mimo systems based on diffusion models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Joint channel estimation and data detection in massive mimo systems based on diffusion models,

Reference 91

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source=pdf_text observed=2026-08-06T05:35:39.316883Z digest=sha256:e2c763fda7965c3ec2464925b025710b071c54be4157784495e4454515021cf6

Observation 4fa38352-4700-4ddf-a2b8-b2090ea52b2b · outbound

This paper cites Channel estimation for hybrid architecture-based wideband millimeter wave systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel estimation for hybrid architecture-based wideband millimeter wave systems,

Reference 92

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source=pdf_text observed=2026-08-06T05:35:39.321212Z digest=sha256:79d6b5d351cf189a3eb98bc234e6051c839aff465245d5ac33d9878d44e6cdd1

Observation aa3b7921-777d-423e-95c3-bb490f8654a8 · outbound

This paper cites Atomic norm denoising with applications to line spectral estimation,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Atomic norm denoising with applications to line spectral estimation,

Reference 93

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source=pdf_text observed=2026-08-06T05:35:39.325601Z digest=sha256:06077c6da752ac31fc27b2254d44cdc063aca632f15563dc447ede66aec24a90

Observation 4b2a64be-7cc9-418f-aef7-472a1892d6d5 · outbound

This paper cites Semi-blind channel estimation for multiuser massive mimo systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Semi-blind channel estimation for multiuser massive mimo systems,

Reference 94

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source=pdf_text observed=2026-08-06T05:35:39.330011Z digest=sha256:78463067754f364e17db791cf0097fc8acce4968a54df807db9e086e5ef0faba

Observation 318662f3-f46d-4789-8c46-e7260c352d4d · outbound

This paper cites Learned d-amp: Principled neural network based compressive image recovery,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Learned d-amp: Principled neural network based compressive image recovery,

Reference 95

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source=pdf_text observed=2026-08-06T05:35:39.334772Z digest=sha256:a0d45cabcfc8e3a49443c15a63e7ff9bcd1f215b5c59a23ce73a2942ffb50c05

Observation b4f001ca-170f-4de1-b7f8-4359a211cd25 · outbound

This paper cites Generative diffusion models for high dimensional channel estimation,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Generative diffusion models for high dimensional channel estimation,

Reference 96

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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.

source=pdf_text observed=2026-08-06T05:35:39.339707Z digest=sha256:a3c6e24709834f08d1cf8cab149a12423f4bcedd385d2c8fcb1cac0159294b39

Observation 13c8e0b7-df73-4df7-a215-e97054faa7c5 · outbound

This paper cites Expectation-maximization gaussian-mixture approximate message passing,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Expectation-maximization gaussian-mixture approximate message passing,

Reference 97

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source=pdf_text observed=2026-08-06T05:35:39.343818Z digest=sha256:7be8f57816647ef4c9d31866d1c75c7db9ae50f885e75838470258deb2dd7307

Observation 069d8508-f5a7-45f4-91e3-f2164dccac50 · outbound

This paper cites Channel estimation and performance analysis of one- bit massive mimo systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel estimation and performance analysis of one- bit massive mimo systems,

Reference 98

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source=pdf_text observed=2026-08-06T05:35:39.348038Z digest=sha256:3808c56a7bc6b05eb868e3776db52e3d036c519fb5ba69a00c1958c9add9a03a

Observation 367d9e40-385d-4c5f-9580-da9b45ea4103 · outbound

This paper cites Channel estimation for quantized systems based on conditionally gaussian latent models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel estimation for quantized systems based on conditionally gaussian latent models,

Reference 99

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source=pdf_text observed=2026-08-06T05:35:39.352492Z digest=sha256:1b0170dfea39d789df02248adc1b3e23fa1e235d5b65222eaf03bd3aeb5e551a

Observation d4ede9f3-85d8-430b-8e10-ad7a14624a71 · outbound

This paper cites Conditional denoising diffusion-based channel estimation for fast time-varying mimo-ofdm systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Conditional denoising diffusion-based channel estimation for fast time-varying mimo-ofdm systems,

Reference 100

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source=pdf_text observed=2026-08-06T05:35:39.357188Z digest=sha256:637f5f955128221e27fb9d77e65272ef0874f5f44ebb93ce8a753be0b7455ed8

Observation 21516319-649b-458c-a2eb-27a71929b62e · outbound

This paper cites Diffusion- based generative prior for low-complexity mimo channel estimation,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion- based generative prior for low-complexity mimo channel estimation,

Reference 101

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source=pdf_text observed=2026-08-06T05:35:39.361521Z digest=sha256:90c6c9cd741e6eb1b455023e494dcdef9fa9840e7f65d3b56d2b71deccd5e934

Observation 1c2fc48f-7995-4841-8dbe-ceee4d322324 · outbound

This paper cites An asymptotically mse-optimal estimator based on gaussian mixture models,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences An asymptotically mse-optimal estimator based on gaussian mixture models,

Reference 102

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source=pdf_text observed=2026-08-06T05:35:39.366095Z digest=sha256:f77d66cad7074ce9a16d9b422c4e7fc8f879b97b28afbc87ec9631cf87e05f3c

Observation 90ad2bb4-7881-44d2-a92e-c72dc5dcdb7a · outbound

This paper cites Channel estimation based on gaussian mixture models with structured covariances,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel estimation based on gaussian mixture models with structured covariances,

Reference 103

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source=pdf_text observed=2026-08-06T05:35:39.370321Z digest=sha256:a94260eb1d77215dbb0bd1dc8bdc21cf6563db04ab3ebe4995d7467e4589ea15

Observation aebe7b14-859e-4036-a358-d90b72f809cf · outbound

This paper cites Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Decision Transformers for RIS-Assisted Systems with Diffusion Model-Based Channel Acquisition

Reference 104

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source=pdf_text observed=2026-08-06T05:35:39.374969Z digest=sha256:9b0fb4f111c50201ecbaee8b8902c7e224eea6fcfcb02d24c98d22627089c465

Observation 5c8e0238-e676-4dca-a865-a205609f3a48 · outbound

This paper cites Reconfigurable intelligent surfaces: Channel character- ization and modeling,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Reconfigurable intelligent surfaces: Channel character- ization and modeling,

Reference 105

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source=pdf_text observed=2026-08-06T05:35:39.379706Z digest=sha256:11786fb3ec9782628f8a3f66bd63f8e5d12643d2038c0c2774f40ed8c45b2424

Observation d04cf779-7ca8-4888-b55f-ce6d6d1e843a · outbound

This paper cites Intelligent surfaces empowered wireless network: Recent advances and the road to 6G,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Intelligent surfaces empowered wireless network: Recent advances and the road to 6G,

Reference 106

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source=pdf_text observed=2026-08-06T05:35:39.384136Z digest=sha256:ab9ea4245fe700efe981f3b6edef36a00f8e80a75a86c2c7c590e2c4ce6fadac

Observation c33899fa-09e1-4662-9c8f-62e97c63b030 · outbound

This paper cites Channel esti- mation with reconfigurable intelligent surfaces—a general framework,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Channel esti- mation with reconfigurable intelligent surfaces—a general framework,

Reference 107

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source=pdf_text observed=2026-08-06T05:35:39.388611Z digest=sha256:082fb7c3f1bb83d949b315fc1107a4815183265e91abf404f6bb30a9cc963a0c

Observation 2bdee43f-bd09-4051-beb0-3caaadffd540 · outbound

This paper cites Decision transformer for irs-assisted systems with diffusion-driven generative channels,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Decision transformer for irs-assisted systems with diffusion-driven generative channels,

Reference 108

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source=pdf_text observed=2026-08-06T05:35:39.393112Z digest=sha256:2a5408d0fa93f8d44509d1fdff6f4b0571f1c533a76dd440a14ca4395c8dee1a

Observation 0f899538-c331-44e8-84e3-c346776ebd61 · outbound

This paper cites Diffusion model- based channel estimation for ris-aided communication systems,.

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences Diffusion model- based channel estimation for ris-aided communication systems,

Reference 109

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source=pdf_text observed=2026-08-06T05:35:39.397505Z digest=sha256:7d1c7262a4291e1cdcd430c0421a5d1c942364443f896e0cab1eaa6df9d3428d

Pith citing papers

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