Paper Citation Record · LEDGER

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction

As of 10 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.21665.

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

pith.paper-citation-record.v1
2607.21665 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T09:12:16.288064Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

22 of 22 outbound references displayed

verified exact0
verified fuzzy0
unresolved21
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 896d4ddc-e12c-4cf0-bdd4-9086955d33d3 · outbound

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

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Under- standing O-RAN: Architecture, interfaces, algorithms, security, and re- search challenges,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:14.553373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d820db37-1a49-453c-9b68-13a0bb24f497 · outbound

This paper cites Taking 5G RAN analytics and control to a new level,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Taking 5G RAN analytics and control to a new level,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:14.657625Z

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Unavailable: canonical work link unavailable.

Observation 0f8d8c82-3e57-4169-8f13-827f77fac2c5 · outbound

This paper cites From network sharing to multi-tenancy: The 5g network slice broker,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction From network sharing to multi-tenancy: The 5g network slice broker,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:14.763959Z

Source-reported events for the cited work

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Observation ff3b518d-b108-4cde-93b4-13c42b4062bd · outbound

This paper cites Generic network slice template,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Generic network slice template,

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-08-01T09:12:14.812399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a3ef5ac-4bfe-4809-a981-2221326155d9 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Communication-efficient learning of deep networks from decentralized data,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:14.889406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b1912f6-4fee-4038-aa87-0ee7aaa0d147 · outbound

This paper cites Advances and open problems in federated learning,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Advances and open problems in federated learning,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:14.967411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc57e57a-4723-4c7c-a9dc-6767156d3078 · outbound

This paper cites Federated deep reinforce- ment learning for resource allocation in O-RAN slicing,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Federated deep reinforce- ment learning for resource allocation in O-RAN slicing,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.032376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9383619-9ebc-4e87-967f-7c95a814345a · outbound

This paper cites Federated meta- learning for traffic steering in O-RAN,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Federated meta- learning for traffic steering in O-RAN,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.100037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bac4f89-becd-45b4-b338-b2163bc4b749 · outbound

This paper cites Peer-to- peer federated learning based anomaly detection for open radio access networks,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Peer-to- peer federated learning based anomaly detection for open radio access networks,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.190041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3be49015-64de-4b17-9544-539f9cbded5e · outbound

This paper cites DRL-based latency-aware network slicing in O-RAN with time-varying SLAs,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction DRL-based latency-aware network slicing in O-RAN with time-varying SLAs,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.252674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdcd52d8-7a94-4b16-9fde-064ee68b3afc · outbound

This paper cites Explainable AI in 6G O-RAN: A tutorial and survey on architecture, use cases, challenges, and future research,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Explainable AI in 6G O-RAN: A tutorial and survey on architecture, use cases, challenges, and future research,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.320020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6a897a-cac3-477b-987f-dd6f1fc434eb · outbound

This paper cites Explainable and robust artificial intelligence for trustworthy resource management in 6G networks,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Explainable and robust artificial intelligence for trustworthy resource management in 6G networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.404995Z

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Observation e165df98-07a4-47e9-8ee8-7a672182b9f6 · outbound

This paper cites EXPLORA: AI/ML explainability for the open RAN,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction EXPLORA: AI/ML explainability for the open RAN,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.499444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352e8f32-c416-4c2c-a554-918ba815a530 · outbound

This paper cites Explanation- guided deep reinforcement learning for trustworthy 6G RAN slicing,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Explanation- guided deep reinforcement learning for trustworthy 6G RAN slicing,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.581059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 448f0227-2ea8-467f-a349-658f6c2f16b5 · outbound

This paper cites Neural additive models: interpretable machine learning with neural nets,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Neural additive models: interpretable machine learning with neural nets,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.667862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a119c9d7-15b7-42b1-b405-3e8156e793cb · outbound

This paper cites Generalized additive models,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Generalized additive models,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.713157Z

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Unavailable: canonical work link unavailable.

Observation 7333710f-ca36-4c0b-8067-dc3537f58338 · outbound

This paper cites Monotonic networks,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Monotonic networks,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.822809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1023de6e-fcdb-4155-af3f-a1680385084b · outbound

This paper cites Certified monotonic neural networks,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Certified monotonic neural networks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.931446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24747fe-50c4-4807-8163-f9b79920df40 · outbound

This paper cites Constrained monotonic neural networks,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Constrained monotonic neural networks,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:15.989434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a00eaca0-3024-4d3a-97e6-d97accdde344 · outbound

This paper cites FedNAMs: Performing Interpretability Analysis in Federated Learning Context.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction FedNAMs: Performing Interpretability Analysis in Federated Learning Context

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:16.087452Z

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Unavailable: canonical work link unavailable.

Observation a32cf068-ea7f-4887-8f58-e25a464523ee · outbound

This paper cites ColO- RAN: Developing machine learning-based xApps for open RAN closed- loop control on programmable experimental platforms,.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction ColO- RAN: Developing machine learning-based xApps for open RAN closed- loop control on programmable experimental platforms,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:16.179449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b90403f2-1d3f-4432-8c19-00f9af517231 · outbound

This paper cites Goodfellow, Y.

Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction Goodfellow, Y

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T09:12:16.288064Z

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Pith citing papers

No inbound Pith citation observations are available.