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Paper Citation Record · LEDGER

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure

As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2606.20565.

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

pith.paper-citation-record.v1
2606.20565 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-05T10:42:35.235124Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy23
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a5ab0b9-9d01-40a3-87c5-9efd12d3de0a · outbound

This paper cites Network slicing in 5G: Survey and challenges,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Network slicing in 5G: Survey and challenges,

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 012fd53a-64db-4813-a85b-6c4bcd899efb · outbound

This paper cites Network slicing and softwarization: A survey on principles, enabling technolo- gies, and solutions,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Network slicing and softwarization: A survey on principles, enabling technolo- gies, and solutions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.964924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:3e19c7c10776c545c96e4f526314640c26a837546d599a2b6c1cf43992b6e324

Observation ec97aa45-511d-4b08-ba32-d7215fd03004 · outbound

This paper cites Resource management from single-domain 5g to end-to-end 6g network slicing: A survey.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Resource management from single-domain 5g to end-to-end 6g network slicing: A survey

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.958787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:9201394891352d9f661f63ab7e4403e2ea3c1cb8aac39326e13bf0ad205424be

Observation fb3f5549-6369-4d67-a215-4ba14251e020 · outbound

This paper cites Decentralized AI-control framework for multi-party multi-network 6G deployments,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Decentralized AI-control framework for multi-party multi-network 6G deployments,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.938220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:568d2063aab15f0ebd2e31a3642a992321c040364eb2a860cb54beee934340d3

Observation 20a77a7f-19f0-48c7-bc47-18766d3e1a7d · outbound

This paper cites Agentic ai: a com- prehensive survey of architectures, applications, and future directions,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Agentic ai: a com- prehensive survey of architectures, applications, and future directions,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.932263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:e127edd73196d4620609c456b0311edfc0abf681d9769980d16f0e3b3486f2e3

Observation ef01b5a4-1f62-4f37-8723-8aee18eaa003 · outbound

This paper cites The agentic- AI core: An AI-empowered, mission-oriented core network for next- generation mobile telecommunications,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure The agentic- AI core: An AI-empowered, mission-oriented core network for next- generation mobile telecommunications,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.921902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:30092ecc53089e3089821f66c65617be58b1c5696c9200a1fe73be4e873d388c

Observation cfcb7877-ea20-4a70-9d5a-092dee6fa003 · outbound

This paper cites A comprehensive survey on safe reinforce- ment learning,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure A comprehensive survey on safe reinforce- ment learning,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.936304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:db6dbd5aa85b3881242a3281e712d2be6aa3595dd08f47815ae3693c9a4b75a7

Observation a55eddc6-1bb6-4adf-920f-5b9ce3295284 · outbound

This paper cites Safe reinforcement learning via shielding,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Safe reinforcement learning via shielding,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.927984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:4fbc71fcffc3cf94ff903bd98f36ba902d1621b16e12123beeb6727d7562c08c

Observation ea42e862-bfcc-4192-8f23-556622259dbe · outbound

This paper cites OpenFlow: Enabling innova- tion in campus networks,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure OpenFlow: Enabling innova- tion in campus networks,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.960913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:ea9e2086788b672c181951bc7beeff51bd23298b415ba495d04f00cba10c264f

Observation 98f7d9ee-466a-4d26-a01b-490d6ad7e856 · outbound

This paper cites Software-defined networking: A com- prehensive survey,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Software-defined networking: A com- prehensive survey,

Reference 10

Resolution
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raw_fallback, observed 2026-07-05T10:50:57.942360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:77d9d254c5e571b25b6e4177b5e29e407079a75f85bca063b79957b6df431cfb

Observation b46674ec-8edb-4815-bc58-7b6a8d28a9d7 · outbound

This paper cites OpenDaylight: Towards a model-driven SDN controller architecture,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure OpenDaylight: Towards a model-driven SDN controller architecture,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.944446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:89ce1db0bc0197f4cf5a4bf42fca76685faaf6f0c0136c232c8fe3ac161ab538

Observation 0971e784-2df3-4aca-9239-8ceddf1c1a76 · outbound

This paper cites ONOS: Towards an open, distributed SDN OS,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure ONOS: Towards an open, distributed SDN OS,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.954518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:f95f05d3b09d87d2af3f6b1ae197c354c1fc22138eeaaa57477f6b8f09055d00

Observation 0d0abc7f-3bfe-4c6e-b3c1-10063d67b411 · outbound

This paper cites Under- standing O-RAN: Architecture, interfaces, algorithms, security, and re- search challenges,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Under- standing O-RAN: Architecture, interfaces, algorithms, security, and re- search challenges,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.930052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:64b9f68004dd7d7e68bebcb932842f58fd21d834d8fe744f515583c8de34e255

Observation 99a5530c-8ce7-4fec-b30b-bfdbaadf0c08 · outbound

This paper cites Intelli- gence and learning in O-RAN for data-driven NextG cellular networks,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Intelli- gence and learning in O-RAN for data-driven NextG cellular networks,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.926074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:fbb619ac32fafbf782bd5594be526e9c6b382fd5ad1dd15415f8b3ea49857109

Observation eff09cfe-5a5c-436e-be07-7fe6274aeb8c · outbound

This paper cites Managing o-ran networks: xapp development from zero to hero,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Managing o-ran networks: xapp development from zero to hero,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.934294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:5dcb91e0070bcea6b1468826e4b7d6542fd6f09b7b17c8d0d3689233181be542

Observation bb6805c5-6bdb-445d-a18f-90510aaeab2a · outbound

This paper cites Resource manage- ment with deep reinforcement learning,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Resource manage- ment with deep reinforcement learning,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.950502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:a9de9353c54311a01879848c1b1a40b20d2446d31587cb3f1f19e693b8b4b52b

Observation c0d88e35-8b6b-4585-b0eb-3dbf69e595eb · outbound

This paper cites Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Large language model (LLM) for telecommunications: A comprehensive survey on principles, key techniques, and opportunities,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.940224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:6700bd11cc2b221bc5067ff403b34c09003ff9b085f541f17ccfb68ff3149a39

Observation b2ef5f40-c174-49c6-94b9-e1b24d6cede2 · outbound

This paper cites A comprehensive survey on LLM-based network management and operations,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure A comprehensive survey on LLM-based network management and operations,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.952429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:b13ad8ebc2010fd24282a2268298b28aa1c330410ff8d6cef433ce1cf496be50

Observation da5f4bea-9ca5-45d5-8643-beef4219accd · outbound

This paper cites TS 23.288: Architecture enhancements for 5G system (5GS) to support network data analytics services,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure TS 23.288: Architecture enhancements for 5G system (5GS) to support network data analytics services,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.956573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:a7f6532e15d2f82e2616cc7d3cd85c6a848dd18c5a93e4764cb159d860cdd57d

Observation 9f20a3e3-096b-4a68-a22e-dcd6aab940ca · outbound

This paper cites GS ZSM 002: Zero-touch network and service management (ZSM); reference architecture,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure GS ZSM 002: Zero-touch network and service management (ZSM); reference architecture,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.948531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:fdd448799f86946e8b18282785d5a5845cc45877dfa0c4628c3cf58f92d3728e

Observation 58f82565-27ed-4226-a86d-c1c009d06ecb · outbound

This paper cites From intents to actions: Agentic ai in autonomous networks,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure From intents to actions: Agentic ai in autonomous networks,

Reference 21

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arxiv_id, observed 2026-07-05T10:50:57.646839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:bd74e3dd604d3a5a15a9d1ffaa0480bb69401139cff31b8e986f0e327ac8278b

Observation 47c3b1b7-8b40-4245-a3a1-3b1d438fe8a9 · outbound

This paper cites Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Modular and Integrated AI Control Framework across Fiber and Wireless Networks for 6G

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-07-05T10:50:57.643273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:00f8255da197dba4bb3535f01a7361a2962368fab226129550f3809772c68b47

Observation 83afd76c-b7af-4ad8-8463-2da87a01e2c8 · outbound

This paper cites ZeroMQ: Distributed messaging,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure ZeroMQ: Distributed messaging,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.962882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:5087be35d7aed051222efb5cd39bed0207cf4b5a640effd8f60a9eba149b2f59

Observation bb6cf681-8fa0-4034-a0ab-9ff0d9a9fecd · outbound

This paper cites Safety and security guidelines for critical infrastructure owners and operators: AI in critical infrastruc- ture,.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Safety and security guidelines for critical infrastructure owners and operators: AI in critical infrastruc- ture,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.923894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:0ce0205c015c759b10b07ccb4c47185daf6d2ae124ef082b2dfb671488798326

Observation dc8ea057-781a-4f31-8b10-9e18a36ee1c2 · outbound

This paper cites Artificial intelligence risk management framework (AI RMF 1.0),.

AI-Native Network Controller: A Modular Framework for Safe Agentic Control of Multi-Domain Network Infrastructure Artificial intelligence risk management framework (AI RMF 1.0),

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-05T10:50:57.946599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-05T10:42:35.235124Z digest=sha256:dcb53e0f6ea0c0dc3158e53401918376642776e113544b3176de2ea5e82a6a55

Pith citing papers

No inbound Pith citation observations are available.