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Paper Citation Record · LEDGER

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.07471.

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

pith.paper-citation-record.v1
2406.07471 v4

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:47:52.914888Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T00:27:39.706794Z

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 7eb34d87-7d0f-4007-9c75-ddc106aedcc4 · inbound

Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery cites this paper.

Towards Dynamic 3D Reconstruction of Hand-Instrument Interaction in Ophthalmic Surgery OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T14:47:52.914888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:47:52.914888Z digest=sha256:2c7699b847a44a77886d6575a689377b7f7e6aa59fc29eecd2632d737518cda5

Observation 383e3b1a-86aa-4659-a3f1-c683cd440bf9 · inbound

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition cites this paper.

Meta-SurDiff: Classification Diffusion Model Optimized by Meta Learning is Reliable for Online Surgical Phase Recognition OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:27:39.752985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T00:27:35.440797Z digest=sha256:6763d873c84f55aefeb6d9372cddea683565f6bfc4dd6f4441f1db524c34e791