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Paper Citation Record · LEDGER

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks

As of 20 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2507.04081.

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

pith.paper-citation-record.v1
2507.04081 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:01:04.624229Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

31 of 31 outbound references displayed

  • verified exact0
  • verified fuzzy26
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 8c1264e2-e496-4434-ade9-a4a37074c2b2 · outbound

This paper cites URLLC- Awared Resource Allocation for Heterogeneous Vehicular Edge Com- puting,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks URLLC- Awared Resource Allocation for Heterogeneous Vehicular Edge Com- puting,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e5046fc6-6842-4bea-b577-14c72d35e610 · outbound

This paper cites Age of Information Based URLLC Transmission for UA Vs on Pylon Turn,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Age of Information Based URLLC Transmission for UA Vs on Pylon Turn,

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ef0d0ffd-5231-442a-8117-ae78851572f4 · outbound

This paper cites Coop- erative ISAC-empowered Low-Altitude Economy,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Coop- erative ISAC-empowered Low-Altitude Economy,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a5c80be1-45c3-4459-9dcf-2673f465b5d3 · outbound

This paper cites Co-Design of Sensing, Communications, and Control for Low-Altitude Wireless Networks,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Co-Design of Sensing, Communications, and Control for Low-Altitude Wireless Networks,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:02.426696Z digest=sha256:baef8ddf814d6ff012ee4c0d4fa3396158e4d08f68c0ce650c6f8d47165473e8

Observation cb439e9e-0bf7-439c-9771-a22124cc44e7 · outbound

This paper cites A Multi-Vehicle Longitudinal Trajectory Collision Avoidance Strategy Using AEBS With Vehicle-Infrastructure Communication,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks A Multi-Vehicle Longitudinal Trajectory Collision Avoidance Strategy Using AEBS With Vehicle-Infrastructure Communication,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8393ded5-b7c4-49f0-adcf-508319efb2d7 · outbound

This paper cites Joint Trajectory and Communication Design for Multi-UA V Enabled Wireless Networks,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Joint Trajectory and Communication Design for Multi-UA V Enabled Wireless Networks,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:02.583015Z digest=sha256:1e013c5347f934c1f8001b70a7dfbe8b8b5664ad5539df0c7eec03845c01ef9e

Observation 0e9bb005-ed83-48ff-8f1e-740407b95d24 · outbound

This paper cites Joint Deployment and Resource Allocation for Multi-AeBS Networks: A Two-Timescale Optimization Framework Using MADRL,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Joint Deployment and Resource Allocation for Multi-AeBS Networks: A Two-Timescale Optimization Framework Using MADRL,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d36c4cbf-5ddc-40be-9fde-2569b0f67b92 · outbound

This paper cites An Optimization Perspective of the Superiority of NOMA Compared to Conventional OMA,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks An Optimization Perspective of the Superiority of NOMA Compared to Conventional OMA,

Reference 8

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raw_fallback, observed 2026-08-06T20:01:07.955530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 4b9c883e-3a96-4e30-bec0-4f463af0b753 · outbound

This paper cites Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Rate-Splitting Multiple Access: Fundamentals, Survey, and Future Research Trends,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 363a986e-c3a8-43c4-a3e3-ab90845280d5 · outbound

This paper cites Resource Allocation and User Pairing for Rate Splitting Multiple Access Based Wireless Networked Control Systems,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Resource Allocation and User Pairing for Rate Splitting Multiple Access Based Wireless Networked Control Systems,

Reference 10

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no resolver link, observed 2026-08-06T20:01:02.939842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3fb5be4f-eae4-4bd2-90ef-cc1f02571f83 · outbound

This paper cites Optimal Trajectory and Resource Allocation for RSMA-UA V Assisted IoT Communications,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Optimal Trajectory and Resource Allocation for RSMA-UA V Assisted IoT Communications,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b3c5f87b-9006-419d-9d16-302eef8557c8 · outbound

This paper cites On the Downlink Performance of RSMA-Based UA V Communications,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks On the Downlink Performance of RSMA-Based UA V Communications,

Reference 12

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5985d011-d0b8-4764-9b68-46599b8ab3e3 · outbound

This paper cites Per- formance Analysis and Optimization of RSMA Enabled UA V-Aided IBL and FBL Communication With Imperfect SIC and CSI,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Per- formance Analysis and Optimization of RSMA Enabled UA V-Aided IBL and FBL Communication With Imperfect SIC and CSI,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e1baa682-1d01-44ff-805c-a86fbd5c292a · outbound

This paper cites Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Enhancing Deep Reinforcement Learning: A Tutorial on Generative Diffusion Models in Network Optimization,

Reference 14

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raw_fallback, observed 2026-08-06T20:01:07.092449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:03.287262Z digest=sha256:8c802e1313dae457f8fd741d4136599e385549305d1ecae3f45b8704bbb3203e

Observation 8728f5bf-30ee-4bdd-bf4d-fcf14b0657de · outbound

This paper cites Effective Throughput Maximization for NOMA-Enabled URLLC Transmission in Industrial IoT Systems: A Generative AI-Based Approach,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Effective Throughput Maximization for NOMA-Enabled URLLC Transmission in Industrial IoT Systems: A Generative AI-Based Approach,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9c22b512-b523-4f71-a824-9f6402ced9f0 · outbound

This paper cites Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Generative Artificial Intelligence Assisted Wireless Sensing: Human Flow Detection in Practical Communication Environments,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 76c879ca-4989-469f-97d8-8dfd8a86b958 · outbound

This paper cites Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Generative AI for Deep Reinforcement Learning: Framework, Analysis, and Use Cases,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 06d613f2-47b1-4869-8b5d-d520e74979ea · outbound

This paper cites Graph Diffu- sion Policy Optimization,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Graph Diffu- sion Policy Optimization,

Reference 18

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a7cb82c0-040f-4816-9d48-4dd08ba6935c · outbound

This paper cites Generative AI Enabled Matching for 6G Multiple Access.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Generative AI Enabled Matching for 6G Multiple Access

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 069ab454-8816-4a72-8828-f9fbdf496743 · outbound

This paper cites Deep Reinforce- ment Learning-Based Resource Allocation in Cooperative UA V-Assisted Wireless Networks,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Deep Reinforce- ment Learning-Based Resource Allocation in Cooperative UA V-Assisted Wireless Networks,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cf66eda6-fab4-4bb2-a803-8f2fcb7da893 · outbound

This paper cites Efficient 3-D placement of an aerial base station in next generation cellular networks,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Efficient 3-D placement of an aerial base station in next generation cellular networks,

Reference 21

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raw_fallback, observed 2026-08-06T20:01:05.783936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 12e152b8-136e-4e46-86ef-a38f550733a6 · outbound

This paper cites Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission: Spectral and Energy Efficiency Analysis,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Rate-Splitting for Multi-Antenna Non-Orthogonal Unicast and Multicast Transmission: Spectral and Energy Efficiency Analysis,

Reference 22

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 96bde8a2-6644-4307-a2a8-ff0c41c24cb6 · outbound

This paper cites Rate-splitting Multiple Access for Downlink Communication Systems: Bridging, Generalizing, and Outperforming SDMA and NOMA,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Rate-splitting Multiple Access for Downlink Communication Systems: Bridging, Generalizing, and Outperforming SDMA and NOMA,

Reference 23

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raw_fallback, observed 2026-08-06T20:01:05.503056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:04.083733Z digest=sha256:8e3751e9758a381d3a247a7d6bcb0100b35bf6bff4c9312b325342a5ab800223

Observation 68dbab41-9a30-4691-9591-dc5395304e79 · outbound

This paper cites Nonlinear Optimiza- tion by Successive Linear Programming,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Nonlinear Optimiza- tion by Successive Linear Programming,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T20:01:05.350082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 3c4e88a1-d01d-4118-92dc-ceea665fb7ed · outbound

This paper cites A Survey on Generative Diffusion Models,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks A Survey on Generative Diffusion Models,

Reference 25

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raw_fallback, observed 2026-08-06T20:01:05.213648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:04.199125Z digest=sha256:b0c13ec6cbbf2eee281b08e3f008190bcb612ccb14d3b9c3d8baa1c330c62102

Observation 178beddd-79af-45f4-b26c-e75e0d35f705 · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks DiGress: Discrete Denoising diffusion for graph generation

Reference 26

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no resolver link, observed 2026-08-06T20:01:04.254852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6b3b2d39-4d0c-405e-be39-bef84a0fd920 · outbound

This paper cites an unresolved cited work.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-08-06T20:01:04.327573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:04.327573Z digest=sha256:e971bf5f7e1d79263dc5763db4b3f48040167f402e6fc818b3b1e66890bd299c

Observation b51d0291-9529-4d48-ac55-de3609614699 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Proximal Policy Optimization Algorithms

Reference 28

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unresolved
no resolver link, observed 2026-08-06T20:01:04.405347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:01:04.405347Z digest=sha256:ed2d7598de0344288933c7a6be91793db5ccc03424dfd21bc6e79d5e03fed452

Observation 8c494965-453d-4472-8a91-6dbc8af63249 · outbound

This paper cites Interference Management for Cellular-Connected UA Vs: A Deep Reinforcement Learning Approach,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Interference Management for Cellular-Connected UA Vs: A Deep Reinforcement Learning Approach,

Reference 29

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raw_fallback, observed 2026-08-06T20:01:05.115438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:04.477360Z digest=sha256:0866e9bf7fe3759f7329269521275e357fad4e09a5a885a89c4bdf2c0d6bdf30

Observation 75aa9c63-2048-4737-b38c-2902b39c32cc · outbound

This paper cites Trajectory Design and Power Control for Joint Radar and Communication Enabled Multi-UA V Cooperative Detection Systems,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Trajectory Design and Power Control for Joint Radar and Communication Enabled Multi-UA V Cooperative Detection Systems,

Reference 30

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raw_fallback, observed 2026-08-06T20:01:05.007996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:04.541744Z digest=sha256:4d9ac5b93f20ebf13d54cb5d06ec4f622b385d4d7a35915f67621f787b2bf431

Observation c5cd7ce7-5719-49e1-b03f-b16016aea557 · outbound

This paper cites Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradi- ent,.

Graph Diffusion-Based AeBS Deployment and Resource Allocation in RSMA-Enabled URLLC Low-Altitude Wireless Networks Variance Reduced Domain Randomization for Reinforcement Learning With Policy Gradi- ent,

Reference 31

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raw_fallback, observed 2026-08-06T20:01:04.833112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T20:01:04.624229Z digest=sha256:30cb94e4446b964aae8eca55b0d015fb210d5daf0e3225e8eb3ed7aeecb4e69f

Pith citing papers

No inbound Pith citation observations are available.