Pith. sign in

Paper Citation Record · LEDGER

AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.04797.

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

pith.paper-citation-record.v1
2408.04797 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:57:05.430471Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:25:34.309748Z

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 75ffc8e1-5941-4df0-b8e7-89be1642bf74 · inbound

Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates cites this paper.

Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T23:57:05.430471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:57:05.430471Z digest=sha256:e20fbce5db1c1952d19461e1d121d7ae723b3787ce4149037abfeb7315e5a3bb

Observation e274c65e-fd3a-485b-b531-2f397453296b · inbound

GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices cites this paper.

GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:25:34.428532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T17:25:33.601428Z digest=sha256:1a8772aa7c0d3d2b66aba7e34aa1fe55e404594a0030433a46e48b55198727c9