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Paper Citation Record · LEDGER

Censored Sampling for Topology Design: Guiding Diffusion with Human Preferences

As of 9 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 2026-08-09T06:31:02.800959+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

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:35:38.970237Z digest=sha256:a7309051b72ca5397493ad75d99463ae602a522d241fc97d037ee84f55dd1556

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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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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

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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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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=sha256:040cb2cc7f8b7d0f00457d79036b8803196115949a7dc364ebfe7ba4d8638bab

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=sha256:8fbb056d03b1a99c2f0cc00372d67cdcee9c05b5a0b0cf26cd296e535a15fd90

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:a876e2b358b136801a2a2c11fb54a8eb31f5d4392bfdea830fa6cf85941d4f85

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=sha256:8108fbb3ff15cad2d4f021d0576d87e12028694bd294e06fe1445418355e9fd7

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:a47c35b372845f74757272afd3b73ae6966f950bd4d7212f351d3fe5c3117506

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:dc15fed291954f277bacf284982ea595410a2d1bf0f0946d436677f512a5fdcf

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:a81ae963c999df35daf79334e6ac4cba26b207dae01847ede8bdaecb3182c0d0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:35:39.147309Z digest=sha256:b0645687b058f126833dd138ca890583b070a87534effc7ab262e45f30e5f134

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=sha256:7641b98727b3fb73400f75d2a8c808445ecedd149764fd902759dc34eaa87632

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=sha256:101aa8e875d3777f57dc30a4b90fb82e588adf26f22932694ad4dc81f167f105

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=sha256:0794559a2bcebbf73f39648e74dc8cd0d7f77bbe9ad922cde8e0636f0694c926

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=sha256:2d49552fc0045dd0d6ea369697ec06f5e0953298aa36495c470ebb26d8c80630

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=sha256:632d8b3641f55b90a9f2c3aec768c6c56362dc4248da55bcbdd6effa97f3f8ad

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=sha256:63cc1ef6afd1623d7e1fbb3700aa90e190544f914a0b2e551f1eb6e868692598

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:f420fc485292ada0337f5037af0f83c06d363ed3e5eb6902591d9ca19fee0e1e

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=sha256:89ae001eb81f12d62b0b1dcb5ff74a7d63b01df5e3940dcec68e99b192d6739b

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:f4d8f1880a6c3c4a95a398478976fbb2a50f48eecfd3c66a2cf305be2ab167bc

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=sha256:1b16c69995e88ba7e9c0a1f08ec83cd95821a752d84b30354ef424ba72abf710

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:d95b6971a46d5a12c4c37b51f3139bcfb6eaae6947532c09d086d17a297cbbac

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:e54d6ec31f2c2d7405d9c02ec1c29721002802f68d102095f2048c15efd7f5e5

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

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source=pdf_text observed=2026-08-06T05:35:39.206632Z digest=sha256:ee5ebd57d5138c86ec1495189204ac33bf25efe80c540894df9b4f10072ba9fb

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:a0f83c8bc97217b0c87c8ebe587fcaacade5217ebfb5a82dae16566419d19aea

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=sha256:2dfb50032c16bd46e8d66e0e9eec778c0b04c44dfd1217b0a66135d947efd479

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=sha256:0b7a4199adb25e690880597e15d140c9954d1ff93a757372d614c99c766821d8

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:f27b1960e73adfd9f2a95b2449bd849df7f711f549b108208be6043a26391e22

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=sha256:20f1f1f31b31bae1bc88ac75906ea730432958777a6cc6e5557153dd42c4ee97

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=sha256:6543c8db028d7a08de709736cff94a67d838d29e39ab47bb2dec85680fff7bdc

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:bf77625da59ec2052da196e742f7e97ee3facc174dd4999fd420ca2fb3257315

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=sha256:785310ea19e87a1a391129db3db838e6cc85e967f390d2d40e7183ed463befc0

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=sha256:18b84b5cae410fefd5093e357ab832f75e7ff6c3b87b51e664430d8a67ce45fe

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:df4d13e8cb1cf8aba036bd87ad511d1e7f529b621714ab32d352785ba2eb47da

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=sha256:6ac6834e064cc8c76da08267822488cab59ce5521cfe5ecee3b66512e618ce93

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=sha256:16d203ce7ba590f2fa5b8488ef1843fbbd7ac8a96c57b30c13792cd7505d9f14

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:ae7a07c81ff7e868128a4f26464efb9dfcf811f833a031d55b0211e80db23a84

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:d51c07348b99dbeefa9f69ef430ccc2267043f185df4a3d210d861d5a04f6ac6

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=sha256:0965cd426c81147a31f48482bd9b0a61902d27d14c77ed3c0070cfeff49081c4

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:fd5598db4b3f72f2bd5ceae63874a1f6553aa62d2be8eec29b65450bab4684d6

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=sha256:494434128f5f0060aab278c6f300070fb010283b9a1256f87772e1b0d3d79571

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T05:35:39.294341Z digest=sha256:b67dce912b22ef7a15f47f0c7c8df5790b413bdcd1a371f86e6913a48010df64

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:dcddc3bd0bae16ebedb4101d0ef3afd5894114499c05144c578b8861e365b1d6

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=pdf_text observed=2026-08-06T05:35:39.303444Z digest=sha256:c9808586c948b81a13f904255b96307a64eb35223cda61e17e971f7410ef9f25

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=sha256:48f04f8c4ff0f8d5bdff4835fad651bab331e5aa96ac7a667fa9230d51f743f4

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=sha256:76193b82aa3e76b02c7113671de6d062de538d1fd76ee3589b6c45672c02f702

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:b64eb6f111098bcfe7431ad84fd89afaedffead232575d39560afd4cfbe8d965

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:de479a2130be82647e446f5b3fdd3fda7145962c8a54b30c6a2661d00a4216e7

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=sha256:0c3d882959efc915fbbcef4fbd933a3f9a1a3626ac8963f43b74d0106663e57d

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:d4dda9be324e20cf22cfc4a88bb7f17b526864577fc9f63459efcdbaf1d3a5f5

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=sha256:2eb144b08c34008a4f27d4044fdec4d41e582d08571726f8a25dd60fb940f576

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

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source=pdf_text observed=2026-08-06T05:35:39.339707Z digest=sha256:2b7df3fae835c1a28dad1738c0e8310b6967966ff2428abe4943491317fbe55a

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=sha256:6515d313c227f331a48d47aba6e0cb49d9946b3be791c23ac61d0e27a2faade3

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:eab0d121e964f7afbd3dc65608104fb6c70cc714bc6969c82baf3da8c87088a4

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=sha256:02c625e257a301cba5ceb4fe9790c5fb6c6a74309cbfaa587dd945ab49a587d2

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=sha256:1a1588511006b054988570ae34ce72f8a5cfbc117512cea69955139d7f690956

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:be2cabf8c5f2b12194b9b026ecec331a62ccfc365ed3a123e45bbafe18c136cb

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=sha256:834f3591b5c0676531b9b492583de86562de81a364ad3ae82001661df3f7e711

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:bbf81d720c2c50afab1cfa3d249d73a84c9c1e2129bbbeb5dddf77fdfb4c8a6f

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=sha256:20afdee87acaf7222019afca79a7d18a85ac41c686a76dce53178d6e2131063f

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:ad410d73ee54fbfddbebfc3a562fecc5fdeb881224ca2d8bc26605cbae971d74

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:d3b6ac6665df5fe0278621a963e8bd8d9c35814b2352bc1850985181601d0082

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=sha256:121ea3a12f94acc4581032683711f8a8b0aba7d6411e1a28645ae70a72a15f47

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=sha256:59d88578d599b38dbcba29ee9b2928dc276f2b361447b85629b5630493c78daa

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:c150030dd6727d3fdd63d1769ffa49805817a0721a6381da8eaf0715d62e6037

Pith citing papers

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