Paper Citation Record · LEDGER

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery

As of 20 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 0 inbound Pith citation observations for arXiv:2608.07126.

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

pith.paper-citation-record.v1
2608.07126 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:25:36.830693Z

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

9 of 9 outbound references displayed

verified exact2
verified fuzzy5
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b8c1ba1-0c72-4294-a460-1868cb9f4db8 · outbound

This paper cites Reliability of CubeSats – Statisti- cal Data, Developers’ Beliefs and the Way Forward,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery Reliability of CubeSats – Statisti- cal Data, Developers’ Beliefs and the Way Forward,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:25:37.146491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9a305503-58e1-48b9-8b28-cae5d5e6bfc0 · outbound

This paper cites European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery European Space Agency Benchmark for Anomaly Detection in Satellite Telemetry

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T14:25:36.804057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f544f3e-ad69-4682-a497-4f821b1f60dd · outbound

This paper cites Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery Semantic Caching for Low-Cost LLM Serving: From Offline Learning to Online Adaptation,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:25:36.808160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0861f18e-dc7a-4fc0-9c44-0c0694cf9f0f · outbound

This paper cites Evaluating Large Language Models for Time Series Anomaly Detection in Aerospace Software,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery Evaluating Large Language Models for Time Series Anomaly Detection in Aerospace Software,

Reference 4

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:25:37.019106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 790e59bf-2ef1-47da-bfb1-be6778870ee8 · outbound

This paper cites Deep Learning-Based Anomaly Detection in Spacecraft Telemetry on Edge Devices,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery Deep Learning-Based Anomaly Detection in Spacecraft Telemetry on Edge Devices,

Reference 5

Resolution: verified exact; raw_fallback, observed 2026-08-10T14:25:36.934962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 049d2957-9f2e-4c66-9e07-1014df62740b · outbound

This paper cites Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery Anomaly Detection Using Deep Learning Respecting the Resources on Board a CubeSat,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:25:37.137251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 367fb66d-e56f-494a-99be-7a4a55a4488c · outbound

This paper cites AI-Integrated Self-Healing System for Robust Fault Detection and Automatic Recovery in IoT Environments,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery AI-Integrated Self-Healing System for Robust Fault Detection and Automatic Recovery in IoT Environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:25:37.128302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0867ca9f-44da-4729-a697-702a868e7712 · outbound

This paper cites LLM-based Multi-Agent System for Autonomous Main- tenance Process of Machine Tools,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery LLM-based Multi-Agent System for Autonomous Main- tenance Process of Machine Tools,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:25:37.118161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bc5efdff-053f-4a4f-b9bc-84209b449ef9 · outbound

This paper cites Optimizing Deep Learning Models for On-Orbit Deployment Through Neural Architecture Search,.

PHOENIX: Fine-Tuned SLM-Powered Autonomous Satellite Lifetime Extension via Predictive Self-Healing and Multi-Agent AI Recovery Optimizing Deep Learning Models for On-Orbit Deployment Through Neural Architecture Search,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:25:37.109093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.