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Paper Citation Record · LEDGER

Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2108.03825.

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

pith.paper-citation-record.v1
2108.03825 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:24:11.412488Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:14:21.663024Z

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 bbc06afe-7ad7-423d-87d0-61b95cef06d8 · inbound

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance cites this paper.

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T19:05:09.197392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:05:09.197392Z digest=sha256:5a3eb36308fe1f581e7836d3af9dc9f6de8cb7a4574bdae30983ad53d7289be1

Observation 949c7ee8-80fc-4f65-847c-dea789c45287 · inbound

Learning Where and When: Patch-Based Spatiotemporal Localization in Weakly Supervised Video Anomaly Detection cites this paper.

Learning Where and When: Patch-Based Spatiotemporal Localization in Weakly Supervised Video Anomaly Detection Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-30T07:14:21.664694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T07:05:26.283382Z digest=sha256:0594c08a8461856105964310afe5b924488c956606cf79c684b7ce1da8b8a826

Observation 73907005-9c15-4073-b494-e637c84dd70e · inbound

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning cites this paper.

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T15:56:44.208994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:56:44.208994Z digest=sha256:affb504e4b39f28d0f2c8c55994e4b92f04cf5b07c47259525eafc26bcf00f74

Observation 9bcde3be-1a1f-44e9-af9d-aa3f0c3795cc · inbound

Localizing to Debias: A Patch-Level Benchmark and Baseline for Weakly Supervised Spatial Anomaly Detection cites this paper.

Localizing to Debias: A Patch-Level Benchmark and Baseline for Weakly Supervised Spatial Anomaly Detection Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T00:24:11.412488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:24:11.412488Z digest=sha256:58aa1fced7a7f3e66a825b8e02a391b0437f19682131a0b2acc7996f9f19f9cc