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Paper Citation Record · LEDGER

AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.01409.

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

pith.paper-citation-record.v1
2102.01409 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:48:29.552251Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:02:58.989816Z

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 3f863003-a937-448d-b939-8f7b1b618bc2 · inbound

PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments cites this paper.

PyScrew: A Comprehensive Dataset Collection from Industrial Screw Driving Experiments AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T20:48:29.552251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:48:29.552251Z digest=sha256:dd34543b82fa924d90b5f681ec810d5b01decbe210e0dbc59a320f03c578c901

Observation 415a750d-1be9-4208-be0b-f6f9c3548d9d · inbound

COFFAIL: A Dataset of Successful and Anomalous Robot Skill Executions in the Context of Coffee Preparation cites this paper.

COFFAIL: A Dataset of Successful and Anomalous Robot Skill Executions in the Context of Coffee Preparation AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:01.890668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T04:14:11.290669Z digest=sha256:641af74fcf8dc46af6666468f7a56de374e12e7abf4fb7043703552b8bbfe9df

Observation 2e5e6639-f743-4386-b002-278f20789f13 · inbound

FactoryBench: Evaluating Industrial Machine Understanding cites this paper.

FactoryBench: Evaluating Industrial Machine Understanding AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:10:53.249534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-11T02:39:15.101410Z digest=sha256:0c5c3766c4959a01c0df587deddbbe35c7552fade549133b5342ede799743fd5

Observation 5dc1db21-e924-4fd1-a6c2-7186abb40927 · inbound

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models cites this paper.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:16:15.729852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-12T02:16:01.295257Z digest=sha256:967844be5ae7ab6422a7d9f2a3f930ab26f4be18463d012868ac3f3297d3869d

Observation 3aba7bf9-e751-413c-957b-999db4fe8c08 · inbound

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models cites this paper.

FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models AURSAD: Universal Robot Screwdriving Anomaly Detection Dataset

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:02:58.992440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-14T21:00:54.013215Z digest=sha256:634af15e7a7b03bf22c61d63eaf62b21dbd78e92fbbaa31a65bbd23e46566a2e