Pith. sign in

Paper Citation Record · LEDGER

5G Positioning Advancements with AI/ML

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.02427.

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

pith.paper-citation-record.v1
2401.02427 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:45:25.419094Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:15:06.030161Z

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 de4d1db2-8aa3-427f-8279-8549dad59423 · inbound

5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization cites this paper.

5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization 5G Positioning Advancements with AI/ML

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:45:25.419094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:45:25.419094Z digest=sha256:3851e8730f2f1c0bb6eb4e1ca8233d4bf4ea240613dc3b62075e57a0b35b0f55

Observation a86ddb80-6f63-4a7c-b933-bbe551e6613b · inbound

Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks cites this paper.

Position Paper: Rethinking AI/ML for Air Interface in Wireless Networks 5G Positioning Advancements with AI/ML

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:30.418949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:30.418949Z digest=sha256:f40cc36af63104f6358fe9f99f1245b262e75f28d1db2fedddd5c0a9223e189c

Observation 95c3b241-5636-428d-bd59-79a557960ec8 · inbound

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies cites this paper.

UWB TDoA Error Correction using Transformers: Patching and Positional Encoding Strategies 5G Positioning Advancements with AI/ML

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:15:06.103074Z

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.

source=pdf_text observed=2026-08-06T20:15:05.581874Z digest=sha256:1532d94fd7c9d68e1db96e893bc4110136b1ecbf12ead5334e60839543f71309