Paper Citation Record · LEDGER

Decorrelation Deep Learning for Fingerprint-based Indoor Localization

As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.02014.

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

pith.paper-citation-record.v1
1908.02014 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:01:29.894234Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy17
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be429f66-a3a9-4952-9761-382be52ba00b · outbound

This paper cites Recent advances in indoor localization: A survey on theoretical approaches and applica- tions,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Recent advances in indoor localization: A survey on theoretical approaches and applica- tions,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.181798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e99d0ac8-1a00-4fb5-9f72-4a41b1115f52 · outbound

This paper cites Robust indoor localization and tracking using GSM ﬁngerprints,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Robust indoor localization and tracking using GSM ﬁngerprints,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.167233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ac17d064-c99e-4871-8675-80b672f11482 · outbound

This paper cites Fingerprinting-based positioning in distributed massive MIMO systems,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Fingerprinting-based positioning in distributed massive MIMO systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.153250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9d5ba2ca-719c-42b0-9ac8-e55c53975fe3 · outbound

This paper cites Survey of cellular mobile radio localization methods: From 1G to 5G,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Survey of cellular mobile radio localization methods: From 1G to 5G,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.136049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 20d6acb2-4e04-46f5-bc7b-9f8ac7821c06 · outbound

This paper cites An improved K-nearest-neighbor indoor localization method based on spearman distance,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization An improved K-nearest-neighbor indoor localization method based on spearman distance,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.118552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6394f877-2a67-4af4-837e-dd04e16f05d6 · outbound

This paper cites Practical recommendations for gradient-based training of deep architectures,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Practical recommendations for gradient-based training of deep architectures,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.103285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a571b580-d2c3-4281-8d6c-1fdbd0cc8a03 · outbound

This paper cites From RSSI to CSI: Indoor localization via channel response,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization From RSSI to CSI: Indoor localization via channel response,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.089612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49a11255-36fe-4d79-a8a2-c23ef6054b91 · outbound

This paper cites A multi-wall-and-ﬂoor model for indoor radio propagation,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization A multi-wall-and-ﬂoor model for indoor radio propagation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.073833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 316cb48f-b46c-4fcd-972c-c1b6fdb90c71 · outbound

This paper cites Wireless channel measurements and mod- eling for an ofﬁce topology at 3.5 GHz,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Wireless channel measurements and mod- eling for an ofﬁce topology at 3.5 GHz,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.059317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d8f1f30c-59cb-421b-8be3-b637f5e55ffd · outbound

This paper cites Channel models: A tutorial,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Channel models: A tutorial,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.041443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 412820cd-a5ff-42fe-a3c5-6272e3abf877 · outbound

This paper cites An approach to sensor network throughput en- hancement by PHY-aided MAC,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization An approach to sensor network throughput en- hancement by PHY-aided MAC,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.025937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f25aedff-99a3-4dfe-b5e6-184d85a7a25a · outbound

This paper cites Sesia, I.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Sesia, I

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:30.010280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1efc2742-34ac-4e77-89d6-057149d6c730 · outbound

This paper cites Goodfellow, Y.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Goodfellow, Y

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T15:01:29.872856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 890d8ffe-63d5-47db-92d6-400487948dbf · outbound

This paper cites Neural networks and deep learning,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Neural networks and deep learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:29.983203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 50de2f9e-658a-443e-9ef0-0f55c869e1aa · outbound

This paper cites MMSE whitening and subspace whitening,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization MMSE whitening and subspace whitening,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:29.969788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e70d8059-def2-4f79-b275-7af2504ac526 · outbound

This paper cites Introduction to vector quantization and its application for numerics,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Introduction to vector quantization and its application for numerics,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:29.956700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 414937d5-4d2f-470f-a72d-31fed8249484 · outbound

This paper cites Optimal whitening and decorrelation,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Optimal whitening and decorrelation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:29.943623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c3944d6a-7acb-4771-a7b1-3c7bd416951c · outbound

This paper cites Optimal quadratic quantization for numerics: the gaussian case,.

Decorrelation Deep Learning for Fingerprint-based Indoor Localization Optimal quadratic quantization for numerics: the gaussian case,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:01:29.929081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.