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Paper Citation Record · LEDGER

M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1610.05541.

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

pith.paper-citation-record.v1
1610.05541 v2

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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:39:27.959549Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T18:40:01.163781Z

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 1530d070-002e-4027-9732-06466def76a8 · inbound

Neural Finite-State Machines for Surgical Phase Recognition cites this paper.

Neural Finite-State Machines for Surgical Phase Recognition M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T11:39:27.959549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:27.959549Z digest=sha256:706392aa5feb71ec026cb6c4232c398b1364891e2a2084ac3c7696e09ef51071

Observation 922fa9c2-fdf8-413f-b5ff-fdce1c311f7e · inbound

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation cites this paper.

Efficient Frame Extraction: A Novel Approach Through Frame Similarity and Surgical Tool Tracking for Video Segmentation M2CAI Workflow Challenge: Convolutional Neural Networks with Time Smoothing and Hidden Markov Model for Video Frames Classification

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:40:01.175298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T18:40:00.908681Z digest=sha256:bd9a9494bad36bd6e95da10eb558c102c7a2cccbffa259de2db32864f280ca84