Paper Citation Record · LEDGER

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments

As of 4 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.29772.

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

pith.paper-citation-record.v1
2605.29772 v2

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:43:21.263178Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+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

24 of 24 outbound references displayed

verified exact5
verified fuzzy0
unresolved19
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6bee229a-53ec-4e73-8260-b23825904504 · outbound

This paper cites NVIDIA and Nokia to Pioneer the AI Platform for 6G — Powering America’s Return to Telecommunications Leadership,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments NVIDIA and Nokia to Pioneer the AI Platform for 6G — Powering America’s Return to Telecommunications Leadership,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01f7c0b1-0a24-4e84-af94-76272718f7f0 · outbound

This paper cites Nokia launches Nokia RAN Digital Twin to turbo-charge AI-native 6G, powered by NVIDIA Aerial Omniverse Digital Twin,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Nokia launches Nokia RAN Digital Twin to turbo-charge AI-native 6G, powered by NVIDIA Aerial Omniverse Digital Twin,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2db85d2-ec4e-4b6e-894a-3cec6ba0c76d · outbound

This paper cites Colosseum: The open RAN digital twin,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Colosseum: The open RAN digital twin,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc8c7af4-12c6-4299-a93d-473a06f0fdfc · outbound

This paper cites Sionna: An Open-Source Library for Next-Generation Physical Layer Research.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Sionna: An Open-Source Library for Next-Generation Physical Layer Research

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:03.367122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation cc0fbfb6-e7c0-4217-ab18-efe3f34c4781 · outbound

This paper cites Adaptive modulation selection in wireless communications: A comparative study of reinforcement learning, deep learning, deep reinforcement learning, and traditional policies,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Adaptive modulation selection in wireless communications: A comparative study of reinforcement learning, deep learning, deep reinforcement learning, and traditional policies,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5de458c-d59f-4d86-82a4-e2591c187057 · outbound

This paper cites Offline reinforcement learn- ing and sequence modeling for downlink link adaptation,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Offline reinforcement learn- ing and sequence modeling for downlink link adaptation,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3824c366-894a-49f8-b7f4-7e7005da672d · outbound

This paper cites Reinforcement learning techniques for Outer Loop Link Adaptation in 4G/5G systems.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Reinforcement learning techniques for Outer Loop Link Adaptation in 4G/5G systems

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:06:03.369706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 56f9da12-34f5-49f9-b361-13968176213a · outbound

This paper cites Contextual multi-armed bandits for link adaptation in cellular networks,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Contextual multi-armed bandits for link adaptation in cellular networks,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df3ae578-3899-4b7b-9f08-168773519951 · outbound

This paper cites GrGym: When GNU radio goes to (AI) gym,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments GrGym: When GNU radio goes to (AI) gym,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26eccd5a-a5d7-4e65-88ff-33c3259b0aa8 · outbound

This paper cites A flexible framework based on reinforcement learning for adaptive modulation and coding in OFDM wireless systems,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments A flexible framework based on reinforcement learning for adaptive modulation and coding in OFDM wireless systems,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bec32dec-6a26-45f2-b0c3-f673b7456c0f · outbound

This paper cites Frequency domain scheduling for OFDMA with limited and noisy channel feedback,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Frequency domain scheduling for OFDMA with limited and noisy channel feedback,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5780f5ac-6d8a-41cd-b9a1-c67cf156e60a · outbound

This paper cites Reinforcement learning for delay sensitive uplink outer-loop link adaptation,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Reinforcement learning for delay sensitive uplink outer-loop link adaptation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 684da685-f629-4c61-a17d-bbba62082a4c · outbound

This paper cites Salad: Self-adaptive link adaptation.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Salad: Self-adaptive link adaptation

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:03.372171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 5befe909-7c1e-4e7f-9c8c-e8b1cf60d64e · outbound

This paper cites Sinr estimation under limited feedback via online convex optimi zation.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Sinr estimation under limited feedback via online convex optimi zation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T19:06:03.364523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation eff9863b-7d30-497c-ba50-55bb5596f1f3 · outbound

This paper cites Nr; physical layer procedures for data (3gpp ts 38.214),.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Nr; physical layer procedures for data (3gpp ts 38.214),

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23b5986e-3ce8-4cda-bc75-4739f854950c · outbound

This paper cites Proximal Policy Optimization Algorithms.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Proximal Policy Optimization Algorithms

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:06:03.362040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 09f9b09c-5623-4f1f-a7eb-aa9cd69b9921 · outbound

This paper cites Stable-Baselines3: Reliable Reinforcement Learning Implemen- tations,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Stable-Baselines3: Reliable Reinforcement Learning Implemen- tations,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4932e7-5346-46cf-85aa-e899d7e4f622 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforce- ment Learning Environments,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Gymnasium: A Standard Interface for Reinforce- ment Learning Environments,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80de408b-b4ce-4566-ba0b-3447d7779431 · outbound

This paper cites Induction of decision trees,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Induction of decision trees,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e692dc9-d6a0-4004-81cc-158e9aabb7c4 · outbound

This paper cites A New Approach to Linear Filtering and Prediction Problems,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments A New Approach to Linear Filtering and Prediction Problems,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f65c2321-9a22-4a8b-a693-efcfb1da0311 · outbound

This paper cites Random Forests,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Random Forests,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 389376ac-a606-42b3-8fa9-d159fc8aab26 · outbound

This paper cites SALAD: Self-Adaptive Link Adaptation — Reference Im- plementation,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments SALAD: Self-Adaptive Link Adaptation — Reference Im- plementation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f19c60e-4163-4e32-affc-e88f9099f53b · outbound

This paper cites Tree-based batch mode reinforce- ment learning,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments Tree-based batch mode reinforce- ment learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ac69c2f-e8fb-4002-ac36-48c2e724fc22 · outbound

This paper cites X5G: An open, pro- grammable, multi-vendor, end-to-end, private 5G O-RAN testbed with NVIDIA ARC and OpenAirInterface,.

ARIADNE: AI-RAN Informed Link Adaptation in Digital Twin Network Environments X5G: An open, pro- grammable, multi-vendor, end-to-end, private 5G O-RAN testbed with NVIDIA ARC and OpenAirInterface,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-06-29T00:43:21.263178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.