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Paper Citation Record · LEDGER

Falls Prediction in eldery people using Gated Recurrent Units

As of 16 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:1908.01050.

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

pith.paper-citation-record.v1
1908.01050 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:27:48.301878Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

7 of 7 outbound references displayed

  • verified exact4
  • verified fuzzy1
  • unresolved0
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a7fd5b4-29e3-4e99-944c-8549850a2fee · outbound

This paper cites Fallspredictionwithrecurrentneuralnetworks.

Falls Prediction in eldery people using Gated Recurrent Units Fallspredictionwithrecurrentneuralnetworks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T15:27:48.440338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:27:48.282157Z digest=sha256:9728c1c3043c52ef3c74e0e0caed50c4571ad4dec53e801f57dce7c1ab176112

Observation b1986b38-e3b6-4e3f-86b8-8177fb5d51a9 · outbound

This paper cites an unresolved cited work.

Falls Prediction in eldery people using Gated Recurrent Units Unresolved cited work

Reference 2

Resolution
verified exact
doi, observed 2026-08-14T15:27:48.340601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:27:48.285704Z digest=sha256:47c9b10a912199b9604ef324bd02be8f709b8eb47794697939455d103d164067

Observation 8de46a1b-8993-4711-aba8-d33bd72d2732 · outbound

This paper cites Effect of Exercise Intervention on Functional Decline in Very Elderly Patients During Acute Hospitalization: A Random- ized Clinical Trial.

Falls Prediction in eldery people using Gated Recurrent Units Effect of Exercise Intervention on Functional Decline in Very Elderly Patients During Acute Hospitalization: A Random- ized Clinical Trial

Reference 3

Resolution
verified exact
raw_fallback, observed 2026-08-14T15:27:48.423509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:27:48.289060Z digest=sha256:8ef3eae24f983961b3b27e993c4c79606ae52c42ec459c61e90cea46c6532f1b

Observation b86b6f27-f301-4273-8ba6-5ddcf73d3a96 · outbound

This paper cites Fall prediction and prevention sys- tems: Recent trends, challenges, and future research directions.Sensors, 17(11), 2017.

Falls Prediction in eldery people using Gated Recurrent Units Fall prediction and prevention sys- tems: Recent trends, challenges, and future research directions.Sensors, 17(11), 2017

Reference 4

Resolution
verified exact
doi, observed 2026-08-14T15:27:48.333053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:27:48.291991Z digest=sha256:1760074077a4d491ef93f251dee2563fed9659159ff9a344043b8a537dcbbd9a

Observation 0dce663d-f48a-4e75-b715-771edad6426e · outbound

This paper cites Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population.

Falls Prediction in eldery people using Gated Recurrent Units Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population

Reference 5

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T15:27:48.351247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:27:48.295002Z digest=sha256:879e53d0072962e193b2fc76889f51443a7d00bf60ebdc63c505d66290429a6b

Observation 7f109ac5-c6ba-45c6-972c-195cacb1ad9e · outbound

This paper cites Van Schooten, Mirjam Pijnappels, and BenKröse.Deeplearningtopredictfallsinolderadultsbasedondaily-lifetrunkaccelerometry.

Falls Prediction in eldery people using Gated Recurrent Units Van Schooten, Mirjam Pijnappels, and BenKröse.Deeplearningtopredictfallsinolderadultsbasedondaily-lifetrunkaccelerometry

Reference 6

Resolution
verified exact
doi, observed 2026-08-14T15:27:48.324933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:27:48.298408Z digest=sha256:a6ce489237f0eedf4f03add9934eeef82f27b5990b27b96528ee371f3aabb96b

Observation eb79be60-0597-408b-a1e7-d27e0b8d7350 · outbound

This paper cites Mapping neural networks to FPGA-based IoT de- vices for ultra-low latency processing.Sensors, 19(13), 2019.

Falls Prediction in eldery people using Gated Recurrent Units Mapping neural networks to FPGA-based IoT de- vices for ultra-low latency processing.Sensors, 19(13), 2019

Reference 7

Resolution
malformed identifier
raw_fallback, observed 2026-08-14T15:27:48.432761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T15:27:48.301878Z digest=sha256:605102367b28b404e8180bdb3ea9be668e40f08ceab24da3f122ea4c91da592b

Pith citing papers

No inbound Pith citation observations are available.