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Paper Citation Record · LEDGER

MX-AI: Agentic Observability and Control Platform for Open and AI-RAN

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2508.09197.

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

pith.paper-citation-record.v1
2508.09197 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:25:21.964487Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T08:39:41.571133Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 704e4a50-74b9-4298-b852-f7f46fc0044a · inbound

Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance cites this paper.

Agentic AI for 6G: A New Paradigm for Autonomous RAN Security Compliance MX-AI: Agentic Observability and Control Platform for Open and AI-RAN

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T22:43:37.795849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T22:43:20.760265Z digest=sha256:66ebf7faafecff88de582dd9e95dea6d38aa6ae7fd23691f71a25294d1a65e19

Observation 766435b0-11f4-4d86-a71a-b1f08f47a8b0 · inbound

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models cites this paper.

Agentic AI-Based Joint Computing and Networking via Mixture of Experts and Large Language Models MX-AI: Agentic Observability and Control Platform for Open and AI-RAN

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:35:51.747067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-10T18:59:56.166200Z digest=sha256:8c0e48a754453c269caf3b9b23847126ec35d04b533c60a9e0cd4bcc24b4473d

Observation 29f5a0a8-d4ee-422e-b2cd-d6ab50476c1e · inbound

From RAN Control to Agentic Intelligence: Architecture and Vision for Energy Efficient AI-RAN cites this paper.

From RAN Control to Agentic Intelligence: Architecture and Vision for Energy Efficient AI-RAN MX-AI: Agentic Observability and Control Platform for Open and AI-RAN

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:39:41.572923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T11:25:21.964487Z digest=sha256:eb79c1af58cb09a50cce485e9346f1b09ce32f91c1555e3ff3f8b405ae3bf387