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Paper Citation Record · LEDGER

Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1905.08315.

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

pith.paper-citation-record.v1
1905.08315 v2

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 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:15:11.858727Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T10:15:12.043951Z

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 4ab0a123-d33f-46ba-a577-6bed6abe62dc · inbound

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos cites this paper.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Multitask Learning of Temporal Connectionism in Convolutional Networks using a Joint Distribution Loss Function to Simultaneously Identify Tools and Phase in Surgical Videos

Reference 2019

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T10:15:12.050809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-16T10:15:11.858727Z digest=sha256:90f41dbe3a6127e536008133040ad2c90dafa63260f7a09326c49a88ca7474ed