Paper Citation Record · LEDGER

Space-ground Fluid AI for 6G Edge Intelligence

As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2411.15845.

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

pith.paper-citation-record.v1
2411.15845 v3

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:53:20.179056Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-24T02:33:52.324469Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:35:55.939601Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy11
unresolved4
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0059ac02-2022-429c-8ede-aa705536aed1 · outbound

This paper cites Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,.

Space-ground Fluid AI for 6G Edge Intelligence Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.379614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5a87b422-6f76-46ca-8235-5cc8d2132249 · outbound

This paper cites Very- low-earth-orbit satellite networks for 6G,.

Space-ground Fluid AI for 6G Edge Intelligence Very- low-earth-orbit satellite networks for 6G,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.371173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 89748840-13d6-42b5-b811-3f47998f5da2 · outbound

This paper cites SpaceX: We’ve launched 32,000 linux computers into space for starlink internet,.

Space-ground Fluid AI for 6G Edge Intelligence SpaceX: We’ve launched 32,000 linux computers into space for starlink internet,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.362780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7880552d-85b2-46e1-b2a9-8aa7e8ad5550 · outbound

This paper cites Multi-tier hybrid offloading for computation-aware IoT applications in civil aircraft- augmented SAGIN,.

Space-ground Fluid AI for 6G Edge Intelligence Multi-tier hybrid offloading for computation-aware IoT applications in civil aircraft- augmented SAGIN,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.353814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3b9e5ee3-3189-43b3-8535-7b63f8fec907 · outbound

This paper cites Space/aerial-assisted computing offloading for IoT applications: A learning-based approach,.

Space-ground Fluid AI for 6G Edge Intelligence Space/aerial-assisted computing offloading for IoT applications: A learning-based approach,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.344617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 009892d8-f6a9-47c3-afe6-1d3ced575e62 · outbound

This paper cites Olive branch learning: A topology-aware federated learning framework for space-air- ground integrated network,.

Space-ground Fluid AI for 6G Edge Intelligence Olive branch learning: A topology-aware federated learning framework for space-air- ground integrated network,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.335741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 057abfa8-7feb-4c7a-a0c9-fa6579833764 · outbound

This paper cites LEOEdge: A satellite-ground cooperation platform for the AI inference in large LEO constellation,.

Space-ground Fluid AI for 6G Edge Intelligence LEOEdge: A satellite-ground cooperation platform for the AI inference in large LEO constellation,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.327150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0dd3b15a-b2ed-49f0-b3c9-5623c5875226 · outbound

This paper cites A tractable approach for predicting pass duration in dense satellite networks,.

Space-ground Fluid AI for 6G Edge Intelligence A tractable approach for predicting pass duration in dense satellite networks,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.319225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 123bcfcc-27d0-4442-b931-93c68fd9d7c5 · outbound

This paper cites The dream of affordable Internet access for everyone is getting closer,.

Space-ground Fluid AI for 6G Edge Intelligence The dream of affordable Internet access for everyone is getting closer,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.310961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7a03cb82-d1cc-4e98-b5da-e7407d669107 · outbound

This paper cites Federated learning in satellite constellations,.

Space-ground Fluid AI for 6G Edge Intelligence Federated learning in satellite constellations,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T13:53:20.164508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef66dd84-229d-4c65-9e95-f13b867a3f06 · outbound

This paper cites Optical comms’ ecosystem setting up for the technological breakthrough,.

Space-ground Fluid AI for 6G Edge Intelligence Optical comms’ ecosystem setting up for the technological breakthrough,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.297174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 14f8c782-e817-45b5-b1fe-6f8e5c31ef89 · outbound

This paper cites FedMeld: A model-dispersal feder- ated learning framework for space-ground integrated networks,.

Space-ground Fluid AI for 6G Edge Intelligence FedMeld: A model-dispersal feder- ated learning framework for space-ground integrated networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-12T13:53:20.170327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 005cfe03-fac5-4c08-aef0-936f98df0df2 · outbound

This paper cites Progressive feature transmission for split classification at the wireless edge,.

Space-ground Fluid AI for 6G Edge Intelligence Progressive feature transmission for split classification at the wireless edge,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T13:53:20.173205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f1c685b-1e4c-44e8-b480-cc35c28d3b51 · outbound

This paper cites Efficient multiuser AI downloading via reusable knowledge broadcasting,.

Space-ground Fluid AI for 6G Edge Intelligence Efficient multiuser AI downloading via reusable knowledge broadcasting,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T13:53:20.282878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2e67a38d-e445-46dd-a74b-ee5c3e51b89a · outbound

This paper cites TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading.

Space-ground Fluid AI for 6G Edge Intelligence TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T13:53:20.179056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c84dbbdc-5dbb-4913-a1ab-9502d82f9711 · inbound

TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading cites this paper.

TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading Space-ground Fluid AI for 6G Edge Intelligence

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:35:55.943595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4f67e461-45b9-425a-92bb-c8c31a60b4c6 · inbound

ERPPO: Entropy Regularization-based Proximal Policy Optimization cites this paper.

ERPPO: Entropy Regularization-based Proximal Policy Optimization Space-ground Fluid AI for 6G Edge Intelligence

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:32:51.798443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.