Paper Citation Record · LEDGER

Real-time Fall Prevention system for the Next-generation of Workers

As of 8 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.24487.

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

pith.paper-citation-record.v1
2505.24487 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:24:13.613935Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

17 of 17 outbound references displayed

verified exact0
verified fuzzy16
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cdc7188e-1859-4c86-afd9-f82ddbe2d561 · outbound

This paper cites an unresolved cited work.

Real-time Fall Prevention system for the Next-generation of Workers Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:24:16.212175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d2de110d-da34-4321-b051-b423acc8dc3a · outbound

This paper cites Attaianese, G.

Real-time Fall Prevention system for the Next-generation of Workers Attaianese, G

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:16.057418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 33f7a19f-7097-4495-84e6-b62b4e55072c · outbound

This paper cites Edge- ai in lora-based health monitoring: Fall detection system w ith fog computing and lstm recurrent neural networks,.

Real-time Fall Prevention system for the Next-generation of Workers Edge- ai in lora-based health monitoring: Fall detection system w ith fog computing and lstm recurrent neural networks,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.831061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29a40f8d-d28e-44ef-b23e-bd546ea62563 · outbound

This paper cites A machine learning approach f or fall detection and daily living activity recognition,.

Real-time Fall Prevention system for the Next-generation of Workers A machine learning approach f or fall detection and daily living activity recognition,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.669038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 83d239c5-80ad-423a-bd2d-c1bc0d32b038 · outbound

This paper cites A survey on recent adv ances in wearable fall detection systems,.

Real-time Fall Prevention system for the Next-generation of Workers A survey on recent adv ances in wearable fall detection systems,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.566182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bdbc5672-5e61-4f95-9bc9-3d5efd3b4652 · outbound

This paper cites La test research trends in fall detection and prevention using mach ine learning: A systematic review,.

Real-time Fall Prevention system for the Next-generation of Workers La test research trends in fall detection and prevention using mach ine learning: A systematic review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.402186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f8ab9343-316d-46dc-ba7e-a45e55a0958f · outbound

This paper cites Elderly fall detect ion systems: A literature survey,.

Real-time Fall Prevention system for the Next-generation of Workers Elderly fall detect ion systems: A literature survey,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.238201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7cca0df4-1cfb-484b-a13d-660de92cb6f2 · outbound

This paper cites Elderly fall detection us ing wearable sensors: A low cost highly accurate algorithm,.

Real-time Fall Prevention system for the Next-generation of Workers Elderly fall detection us ing wearable sensors: A low cost highly accurate algorithm,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:15.059103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d72f060-6ceb-4f9d-a0bd-94832891fd41 · outbound

This paper cites Fall risk reduction for the elder ly by using mobile robots based on deep reinforcement learning,.

Real-time Fall Prevention system for the Next-generation of Workers Fall risk reduction for the elder ly by using mobile robots based on deep reinforcement learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.929393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24ec53fb-2877-400d-a5b9-4d91b361502e · outbound

This paper cites Falls in the elderly: Detection a nd assess- ment,.

Real-time Fall Prevention system for the Next-generation of Workers Falls in the elderly: Detection a nd assess- ment,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.776985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 47f0ba8d-2ae9-4b56-b487-ba7f4c2dfab5 · outbound

This paper cites S isfall: A fall and movement dataset,.

Real-time Fall Prevention system for the Next-generation of Workers S isfall: A fall and movement dataset,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.620982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6a76b7f-fc0c-4e0e-9a41-e3ca2af3f630 · outbound

This paper cites Up-fall detectio n dataset: A multimodal approach,.

Real-time Fall Prevention system for the Next-generation of Workers Up-fall detectio n dataset: A multimodal approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.486986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5e9b8911-aed1-4fbf-b06d-ddf098575da6 · outbound

This paper cites Umafall: A multisensor dataset for the research on automat ic fall detection,.

Real-time Fall Prevention system for the Next-generation of Workers Umafall: A multisensor dataset for the research on automat ic fall detection,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.335727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0dd893f2-e1b5-4b46-bf2d-8c371d3efc74 · outbound

This paper cites Xsens DOT Wearable Sensor Platform — xsens.c om,.

Real-time Fall Prevention system for the Next-generation of Workers Xsens DOT Wearable Sensor Platform — xsens.c om,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:14.160071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f3918841-c1de-4c0f-84b8-25555757574c · outbound

This paper cites Model-based fall detection a nd fall preven- tion for humanoid robots,.

Real-time Fall Prevention system for the Next-generation of Workers Model-based fall detection a nd fall preven- tion for humanoid robots,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:13.995876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0c1a48e-048e-444e-853a-f61eca54adbc · outbound

This paper cites S isfall: A fall and movement dataset,.

Real-time Fall Prevention system for the Next-generation of Workers S isfall: A fall and movement dataset,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:13.884610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02b4881c-39b3-49d0-9ae3-7ddf9da6f772 · outbound

This paper cites Up-fall detectio n dataset: A multimodal approach,.

Real-time Fall Prevention system for the Next-generation of Workers Up-fall detectio n dataset: A multimodal approach,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:24:13.741955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.