Paper Citation Record · LEDGER

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.06876.

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

pith.paper-citation-record.v1
2506.06876 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:53:56.408981Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

27 of 27 outbound references displayed

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verified fuzzy23
unresolved4
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 898a9d02-58d0-4ed8-8a68-657b96928055 · outbound

This paper cites Hybrid centralized and distributed learning for mec-equipped satellite 6g networks,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Hybrid centralized and distributed learning for mec-equipped satellite 6g networks,

Reference 1

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0a3e58c9-3fd2-412b-935e-87d39c3dbb85 · outbound

This paper cites Delay optimization for cooperative multi-tier computing in integrated satellite-terrestrial networks,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Delay optimization for cooperative multi-tier computing in integrated satellite-terrestrial networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:03.336846Z

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Observation b997143b-8c6f-4eff-9869-2c3a1e8ff2cf · outbound

This paper cites O-ran based non- terrestrial networks: Trends and challenges,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks O-ran based non- terrestrial networks: Trends and challenges,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:03.039358Z

Source-reported events for the cited work

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Observation cbf1e1b2-48a1-43a8-8bad-981a5c567191 · outbound

This paper cites Small cell virtualization functional splits and use cases,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Small cell virtualization functional splits and use cases,

Reference 4

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Observation a8a2fe10-a84e-46c0-8ea1-d095acd25926 · outbound

This paper cites A survey of the functional splits proposed for 5g mobile crosshaul networks,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks A survey of the functional splits proposed for 5g mobile crosshaul networks,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:02.732308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 40f1813f-2237-4d25-807c-d01f6cf18221 · outbound

This paper cites An optimal deployment framework for multi-cloud virtualized radio access networks,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks An optimal deployment framework for multi-cloud virtualized radio access networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:02.444552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06b69a1d-0620-4f82-bf4b-1b91158e770f · outbound

This paper cites Energy-aware dynamic vnf splitting in o-ran using deep reinforcement learning,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Energy-aware dynamic vnf splitting in o-ran using deep reinforcement learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:02.173832Z

Source-reported events for the cited work

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Observation 651323d3-5f50-4596-bdc9-7fe6bf446ebe · outbound

This paper cites Ran functional split options for integrated terrestrial and non-terrestrial 6g networks,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Ran functional split options for integrated terrestrial and non-terrestrial 6g networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:01.934091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a91f93a-9cf1-47f7-870c-ccbaf58af1df · outbound

This paper cites Functional split evaluation in ntn for leo satellites,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Functional split evaluation in ntn for leo satellites,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:01.690779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f2f36a4-6190-4e8e-b9a3-1f76fc7a168f · outbound

This paper cites Energy-efficient functional split in non-terrestrial open radio access networks,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Energy-efficient functional split in non-terrestrial open radio access networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:01.391160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 72a77515-e69a-4ac7-acfb-d27773d2d3b9 · outbound

This paper cites Solutions for nr to support non-terrestrial networks (ntn),.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Solutions for nr to support non-terrestrial networks (ntn),

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:01.085232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47498c97-6798-4792-9ff8-bb1e62934373 · outbound

This paper cites An analytical study on functional split in martian 3-d networks,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks An analytical study on functional split in martian 3-d networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:00.701455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 51d2814d-7a01-4bfc-96e2-2417a785c3ad · outbound

This paper cites Seamless handover in leo based non-terrestrial networks: Service continuity and optimization,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Seamless handover in leo based non-terrestrial networks: Service continuity and optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:00.350191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 602452fd-09f9-4689-bf02-983eb3ebdb6e · outbound

This paper cites Space-air-ground integrated network (sagin) for 6g: Requirements, architecture and challenges,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Space-air-ground integrated network (sagin) for 6g: Requirements, architecture and challenges,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:54:00.029683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 24faaf8c-3519-4cc9-ae9d-e144af073d69 · outbound

This paper cites Study on new radio access technology: Radio access architecture and interfaces, technical specification group radio access network, 38.801.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Study on new radio access technology: Radio access architecture and interfaces, technical specification group radio access network, 38.801

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:59.670500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9e6c22ba-a11b-40ce-beba-cf326d9528d1 · outbound

This paper cites Study on new radio (nr) to support non-terrestrial networks, technical specification group radio access network, 38.811.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Study on new radio (nr) to support non-terrestrial networks, technical specification group radio access network, 38.811

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:59.362522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 84095f74-6c8a-42e1-9e86-53de9a0d7edd · outbound

This paper cites Reinforcement learning: An introduction,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Reinforcement learning: An introduction,

Reference 17

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Observation e8d539c1-e12e-41e8-a984-4296c473b8f8 · outbound

This paper cites Human-level control through deep reinforcement learning ,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Human-level control through deep reinforcement learning ,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:58.992455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 031c5c89-109a-48f7-9a11-036e469ee3d2 · outbound

This paper cites Towards zero grid electricity networking: Powering bss with renewable energy sources,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Towards zero grid electricity networking: Powering bss with renewable energy sources,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:58.692543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1a78f083-e7c9-4121-9aca-557b35da2dce · outbound

This paper cites Accessed May 30, 2025.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Accessed May 30, 2025

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:58.419366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f69f1b46-1af2-40de-92e2-20a8f95bc5ed · outbound

This paper cites Accessed May 30,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Accessed May 30,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:58.107622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8427962f-3884-4d86-8f26-53e7a572215f · outbound

This paper cites Accessed May 30, 2025.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Accessed May 30, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:57.447003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8bdf5fc2-2a96-47e3-9359-9778a3b10d9b · outbound

This paper cites Haps in the non- terrestrial network nexus: Prospective architectures and performance insights,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Haps in the non- terrestrial network nexus: Prospective architectures and performance insights,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:57.078248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d1d90cb1-c1e3-434b-bb56-0271506f9050 · outbound

This paper cites 5g ran: Functional split orchestration optimization,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks 5g ran: Functional split orchestration optimization,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:56.712003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f384dddf-86cf-47eb-a4f4-742c1571ff02 · outbound

This paper cites Deep residual learning for image recognition,.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Deep residual learning for image recognition,

Reference 25

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Observation 25bcd88e-a77d-4c40-8288-155d53fbbff1 · outbound

This paper cites Goodfellow, Y.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Goodfellow, Y

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:53:56.408981Z

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Observation f431bc76-3167-473a-a5de-72e2c4ad3966 · outbound

This paper cites Available: https://www.nvidia.com/en-gb/autonomous- machines/embedded-systems/jetson-agx-xavier.

Energy-efficient Deep Reinforcement Learning-based Network Function Disaggregation in Hybrid Non-terrestrial Open Radio Access Networks Available: https://www.nvidia.com/en-gb/autonomous- machines/embedded-systems/jetson-agx-xavier

Reference 2025

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:53:57.748660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Pith citing papers

No inbound Pith citation observations are available.