Paper Citation Record · LEDGER

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework

As of 11 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2606.27394.

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

pith.paper-citation-record.v1
2606.27394 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T02:13:55.629680Z

measured 13 of 13 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 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

13 of 13 outbound references displayed

verified exact1
verified fuzzy0
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ca25ebd5-992f-4779-b89a-dbafb3fba9c0 · outbound

This paper cites 6g internet of things: A comprehensive survey,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework 6g internet of things: A comprehensive survey,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05e07dfa-1cec-40ce-b7ee-5ed9041f3281 · outbound

This paper cites Automl: A survey of the state-of-the- art,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Automl: A survey of the state-of-the- art,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4cb88c4-f0a2-4f50-be03-902ad8ac60f6 · outbound

This paper cites Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Speeding up automatic hyperparameter optimization of deep neural networks by extrapolation of learning curves,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d7cde1c-6815-4924-a082-ff57473f5772 · outbound

This paper cites Optuna: A next- generation hyperparameter optimization framework,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Optuna: A next- generation hyperparameter optimization framework,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d72d19e-e386-428d-b561-f5aea60b80b4 · outbound

This paper cites Condensing graphs via one-step gradient matching.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Condensing graphs via one-step gradient matching

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T04:53:06.628616Z

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.

Observation 90fff0aa-bb60-4cec-97c9-fce53ed7631b · outbound

This paper cites A survey on AutoML methods and systems for clustering,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework A survey on AutoML methods and systems for clustering,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff7226a0-c04c-49bf-b849-244091348e81 · outbound

This paper cites Available: https://doi.org/10.1109/TKDE.2022.3228488.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Available: https://doi.org/10.1109/TKDE.2022.3228488

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T04:53:06.631192Z

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.

Observation 8391ccba-b933-4b7b-a5ee-e0ef5b333493 · outbound

This paper cites Evaluating data characterization measures for clustering problems in meta-learning,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Evaluating data characterization measures for clustering problems in meta-learning,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e35ab91-304a-4ceb-80bf-619071dded8f · outbound

This paper cites Beyond 1 Tb/s Intra-Data Center Interconnect Technology: IM-DD or Coherent?.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Beyond 1 Tb/s Intra-Data Center Interconnect Technology: IM-DD or Coherent?

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T04:53:06.633808Z

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.

Observation 69c3c93f-d1ae-4baf-8773-e0e946e69895 · outbound

This paper cites Automated clustering selection for machine learning,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Automated clustering selection for machine learning,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6db51cb-dafd-46a6-a064-8d8aa1acf0c5 · outbound

This paper cites BERTrend: Neural Topic Modeling for Emerging Trends Detection.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework BERTrend: Neural Topic Modeling for Emerging Trends Detection

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:15:58.616918Z

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.

Observation 8c28e63c-0619-48af-a354-b3faf12b7cbe · outbound

This paper cites Query-based topic modeling and trend analysis in scientific literature,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Query-based topic modeling and trend analysis in scientific literature,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b139c6d0-26e6-4aea-8cd0-f57cb0d4fa8b · outbound

This paper cites Predicting software engineering trends from scientific papers with a combined framework of clustering and topic modeling,.

Forecasting Technological Directions in Wireless Networks and Mobile Computing via AutoML Framework Predicting software engineering trends from scientific papers with a combined framework of clustering and topic modeling,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-29T02:13:55.629680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.