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Paper Citation Record · LEDGER

Sidewalk Hazard Detection Using Variational Autoencoder and One-Class SVM

As of 24 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 2026-08-23T06:30:58.430688+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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:50:51.938841Z digest=sha256:608074b468dbaea927d36cef411c47dccea4f29c53501331e6d680556fc8eed1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:50:51.949852Z digest=sha256:29b6fab2388a60fa4506460e3553a3aed76938b2528f717dbda19691fab5e4dc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:50:51.954584Z digest=sha256:d5a1d096400e4bd712f24cb9b2bb24932444792c02c6e1b64f0d3c315f20df9a

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:50:51.959504Z digest=sha256:7361012c568a93bbe004e008a7f1ed13ccb9816039f7f4c5ca17645717d582c5

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.

source=pdf_text observed=2026-08-10T22:50:51.933597Z digest=sha256:f18690715a4e1efa0da2ed611e4419aa60c73a3cf0ad1f784b8734b63d84fc68

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-10T22:50:51.943608Z digest=sha256:7697e7a8aa963d176211850d73e390addd7eba95544250585e51d52f5ad447c2

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.

source=pdf_text observed=2026-08-10T22:50:51.927595Z digest=sha256:87736cf170bc5779d6e0addd34ce99da380afdd718c8a6bf6a3ac816089b1d75

Pith citing papers

No inbound Pith citation observations are available.