Paper Citation Record · LEDGER

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM

As of 23 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2501.00585.

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

pith.paper-citation-record.v1
2501.00585 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:50:51.959504Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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 exact0
verified fuzzy4
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12dc87b2-4891-43d2-977d-c6060e4bd540 · outbound

This paper cites Anomaly detection, localization and classification for railway inspection,.

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM Anomaly detection, localization and classification for railway inspection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:50:52.104519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c3bfc9ee-ba71-4d52-8886-a1f01c92d26f · outbound

This paper cites Safe and effective navigation of autonomous robots in hazardous environments,.

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM Safe and effective navigation of autonomous robots in hazardous environments,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:50:52.088468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 01dbd0c8-0734-4fba-aeed-f205385f8ce5 · outbound

This paper cites SNU Data Mining Center 2015-2 Special Lecture on IE Variational Autoencoder based Anomaly Detection using Reconstruction Probability,.

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM SNU Data Mining Center 2015-2 Special Lecture on IE Variational Autoencoder based Anomaly Detection using Reconstruction Probability,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:50:52.072875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7ca5d50-b4fe-4015-9ef4-bece34854307 · outbound

This paper cites 1444–1451.

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM 1444–1451

Reference 167

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T22:50:52.057524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5715e2a-c58a-4216-917a-2e06cb31537f · outbound

This paper cites Object Detection in 20 Years: A Survey.

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM Object Detection in 20 Years: A Survey

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:51.933597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a62c168f-efc7-4164-8ed1-92a3e3bbf35a · outbound

This paper cites Safe Robot Navigation via Multi-Modal Anomaly Detection.

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM Safe Robot Navigation via Multi-Modal Anomaly Detection

Reference 2020

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T22:50:52.004267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 40b24008-d2c8-485c-8f35-3ffef152a3f3 · outbound

This paper cites VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation.

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM VisionGPT: LLM-Assisted Real-Time Anomaly Detection for Safe Visual Navigation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-10T22:50:51.927595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.