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Paper Citation Record · LEDGER

Efficient Heterogeneous Video Segmentation at the Edge

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.11666.

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

pith.paper-citation-record.v1
2208.11666 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:59:53.609033Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:56:31.410587Z

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 38ffd3bf-555d-4000-b5be-5b1397ca6400 · inbound

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems cites this paper.

A Survey on Video Analytics in Cloud-Edge-Terminal Collaborative Systems Efficient Heterogeneous Video Segmentation at the Edge

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-08T14:59:53.609033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:59:53.609033Z digest=sha256:65a235aaf54b6610da1a842624e2605bd928359663537d87a43ec410f54d512c

Observation da9e040c-3cfd-4f34-87c5-f8a082eac7c5 · inbound

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems cites this paper.

Exploring the Dynamic Scheduling Space of Real-Time Generative AI Applications on Emerging Heterogeneous Systems Efficient Heterogeneous Video Segmentation at the Edge

Reference 21

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:56:31.477978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:56:27.676553Z digest=sha256:f2d6a0a6995bd4798097e41bcf46a4d04a2c6e6ab5d90ff32c5ddee61b7f39be