Pith. sign in

Paper Citation Record · LEDGER

Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.20007.

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

pith.paper-citation-record.v1
2504.20007 v3

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-08T05:25:07.553526Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T05:34:32.411063Z

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 7ebb443a-dbc9-4f04-8cf1-2185b4df120b · inbound

DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs cites this paper.

DeEscalWild: A Real-World Benchmark for Automated De-Escalation Training with SLMs Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-15T07:49:50.883395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-15T07:47:28.498685Z digest=sha256:843413af0a66b25f7454b046c2869717f7828bc01a19ad8f211be0a2a062f791

Observation 1adf362f-b3c9-4345-a88b-a7b473c76523 · inbound

Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports cites this paper.

Ontology for Policing: Conceptual Knowledge Learning for Semantic Understanding and Reasoning in Law Enforcement Reports Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-20T17:53:36.578334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T17:52:16.521887Z digest=sha256:af142c3f250bb947c207d3d377cfea626bb7fd3f7c05311e7c4dc8cfaacc93ac

Observation 8f1717a5-244a-4650-834e-e8f469f6a748 · inbound

Visual Timelines of Police Encounters in Body-Worn Camera Footage: Operational Context and Activity Cataloging for Training and Analysis in OpenBWC cites this paper.

Visual Timelines of Police Encounters in Body-Worn Camera Footage: Operational Context and Activity Cataloging for Training and Analysis in OpenBWC Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:33:25.407650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T15:31:45.565641Z digest=sha256:73c59110cb01a469bc22660fe2addf066dc421bc068fd5dede23708cc592060a

Observation e5c3c883-1bdd-4521-8ec5-49b1e0efde28 · inbound

EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage cites this paper.

EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage Towards AI-Driven Policing: Interdisciplinary Knowledge Discovery from Police Body-Worn Camera Footage

Reference 70

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T05:34:32.412561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-07-08T05:25:07.553526Z digest=sha256:91d9f2769720e9e2e69523f18d46e220d5470533ecc04759551515ed12d5b7e8