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Paper Citation Record · LEDGER

Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.10299.

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

pith.paper-citation-record.v1
2407.10299 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:45:59.671770Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:41:52.682990Z

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 784855c6-c9e4-411c-bbc9-0a39fe36682c · inbound

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models cites this paper.

VERA: Explainable Video Anomaly Detection via Verbalized Learning of Vision-Language Models Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-12T04:45:59.671770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:45:59.671770Z digest=sha256:4e1bf396b824b955af0f4ac3df76b7cac2c49e04a24a37da0b7187b6d9d881a5

Observation 4732ee9f-da8c-47d1-aef7-aea0f1e8ada4 · inbound

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models cites this paper.

Towards Zero-Shot Anomaly Detection and Reasoning with Multimodal Large Language Models Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-08T12:15:53.679847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:15:53.679847Z digest=sha256:2a26b0f52ceb98ad54f0d171b5342159166eb9e73a49a1e1239d6b586836b447

Observation 997e33c2-519b-4291-8c22-d4aade57a666 · inbound

SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models cites this paper.

SmartHome-Bench: A Comprehensive Benchmark for Video Anomaly Detection in Smart Homes Using Multi-Modal Large Language Models Follow the Rules: Reasoning for Video Anomaly Detection with Large Language Models

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:41:52.775995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T00:41:51.522641Z digest=sha256:cd776bc589e5b2ee196c2dcfbe115466e7dce642b2cdc6fdb5351af78f866d56