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Paper Citation Record · LEDGER

Focus: Querying Large Video Datasets with Low Latency and Low Cost

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1801.03493.

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

pith.paper-citation-record.v1
1801.03493 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:35:41.439768Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-14T10:35:41.767617Z

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 111d401a-08af-4914-a424-f1d18b656600 · inbound

ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients cites this paper.

ApproxNet: Content and Contention-Aware Video Analytics System for Embedded Clients Focus: Querying Large Video Datasets with Low Latency and Low Cost

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:35:41.773791Z

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=2026-08-14T10:35:41.439768Z digest=sha256:d1654d1a41230ef708ba63622d1f7b77c272dee8304982ef386bb764e28e9095