Paper Citation Record · LEDGER

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration

As of 8 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2506.00822.

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

pith.paper-citation-record.v1
2506.00822 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:00:10.536287Z

measured 21 of 21 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

21 of 21 outbound references displayed

verified exact0
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b6629f70-876f-4731-8b5f-ab22375f8477 · outbound

This paper cites Wireless networked multirobot systems in smart factories,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Wireless networked multirobot systems in smart factories,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:13.505876Z

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.

Observation 0d12ccc3-e93c-4e6c-90c3-9b23ca56dd6c · outbound

This paper cites Zero touch networks to realize virtualization: Opportunities, challenges, and future prospects,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Zero touch networks to realize virtualization: Opportunities, challenges, and future prospects,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:13.362222Z

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.

Observation 52ef38cf-5109-47fc-a7ad-e0b885c4c0b0 · outbound

This paper cites Zero touch man- agement: A survey of network automation solutions for 5g and 6g networks,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Zero touch man- agement: A survey of network automation solutions for 5g and 6g networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:13.231397Z

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.

Observation d79f2a5f-bd64-4ed0-80a1-d95e089fa445 · outbound

This paper cites Deep-learning- based weak electromagnetic intrusion detection method for zero touch networks on industrial iot,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Deep-learning- based weak electromagnetic intrusion detection method for zero touch networks on industrial iot,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:13.086377Z

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.

Observation 870f3068-b794-456c-9c6e-3e073ab26649 · outbound

This paper cites O-RAN Architecture Description 9.0,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration O-RAN Architecture Description 9.0,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:12.938321Z

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.

Observation ae41d81b-fc4b-48b8-91be-ecaf0ad001a8 · outbound

This paper cites Ric: A ran intelligent controller platform for ai-enabled cellular networks,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Ric: A ran intelligent controller platform for ai-enabled cellular networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:12.766096Z

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.

Observation 8b174041-08ee-410d-a7a3-88cd85d53b03 · outbound

This paper cites Universal vertical application adaptation for o-ran: Low-latency ric and autonomous intelligent xapp generation,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Universal vertical application adaptation for o-ran: Low-latency ric and autonomous intelligent xapp generation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:12.632961Z

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.

Observation e294d637-f4f6-4cad-8ec8-531a137c06d4 · outbound

This paper cites Enhancing network traffic analysis in o-ran enabled next- generation networks through federated multi-task learning,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Enhancing network traffic analysis in o-ran enabled next- generation networks through federated multi-task learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:12.489102Z

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.

Observation a6ce45f4-5ac3-4e09-ac30-5efe78d111fa · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentral- ized Data,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Communication-Efficient Learning of Deep Networks from Decentral- ized Data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:12.316674Z

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.

Observation 5ec883d6-0f9c-4450-aa0d-64b54add74d1 · outbound

This paper cites Privacy-preserving serverless edge learning with decentralized small-scale mobile data,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Privacy-preserving serverless edge learning with decentralized small-scale mobile data,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:12.181859Z

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.

Observation 35c2a79e-410c-498f-99a7-bc6ae5de61dd · outbound

This paper cites Reducing communication overhead of federated learning through clustering analysis,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Reducing communication overhead of federated learning through clustering analysis,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:12.037489Z

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.

Observation 88a70b42-539e-4913-b45f-2304c6875382 · outbound

This paper cites Joint selection of local trainers and resource allocation for federated learning in open ran intelligent controllers,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Joint selection of local trainers and resource allocation for federated learning in open ran intelligent controllers,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:11.895282Z

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.

Observation 7f88c19b-0f04-4891-bd52-7d4b10d058a4 · outbound

This paper cites Federated learning for efficient spectrum allocation in open ran,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Federated learning for efficient spectrum allocation in open ran,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:11.738332Z

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.

Observation 4a9a4f16-b7f9-4d0c-a13a-78d778a5f341 · outbound

This paper cites Toward securing federated learning against poisoning attacks in zero touch b5g networks,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Toward securing federated learning against poisoning attacks in zero touch b5g networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:11.638509Z

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.

Observation 94dd4b15-5b08-4a16-8816-6317e6dbbce5 · outbound

This paper cites A cloud native sla-driven stochastic federated learning policy for 6g zero-touch network slicing,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration A cloud native sla-driven stochastic federated learning policy for 6g zero-touch network slicing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:11.472765Z

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.

Observation 74b129f8-cdef-4b39-abcb-72df219d8581 · outbound

This paper cites Federated meta- learning for traffic steering in o-ran,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Federated meta- learning for traffic steering in o-ran,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:11.336138Z

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.

Observation 5c7b62fc-958f-4698-b0e8-08f6fdd15f0c · outbound

This paper cites Federated deep reinforce- ment learning for efficient jamming attack mitigation in o-ran,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Federated deep reinforce- ment learning for efficient jamming attack mitigation in o-ran,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:11.200886Z

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.

Observation ed8317a3-9fc7-4f47-bb2c-851e6ee2cda8 · outbound

This paper cites Multi-agent reinforcement learning resources allocation method using dueling double deep q-network in vehicular networks,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Multi-agent reinforcement learning resources allocation method using dueling double deep q-network in vehicular networks,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:11.055388Z

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.

Observation b3fb67af-c601-4b54-98a8-767dcf820143 · outbound

This paper cites Accelerating federated learn- ing via momentum gradient descent,.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Accelerating federated learn- ing via momentum gradient descent,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:00:10.866636Z

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.

Observation 25ae444a-4a73-40ee-831c-576030054141 · outbound

This paper cites Prioritized Experience Replay.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Prioritized Experience Replay

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:00:10.422979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bed84fe0-3317-4861-b67d-2e713e64b5a8 · outbound

This paper cites an unresolved cited work.

Federated Deep Reinforcement Learning-Driven O-RAN for Automatic Multirobot Reconfiguration Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:00:10.734928Z

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.

Pith citing papers

No inbound Pith citation observations are available.