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Paper Citation Record · LEDGER

Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.20026.

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

pith.paper-citation-record.v1
2410.20026 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:39:27.970799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T22:45:50.817155Z

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 d5fe0bb1-3ca2-47ae-ace8-b3d0daa9c998 · inbound

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge cites this paper.

SegSTRONG-C: Segmenting Surgical Tools Robustly On Non-adversarial Generated Corruptions -- An EndoVis'24 Challenge Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T22:45:50.819742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-23T22:44:36.339252Z digest=sha256:ed66f9507e9e8d8eb7d718799ee38d92ecb6e250f6ae50fcee27464963ceb3c9

Observation 73de5f2d-f9bc-4a3a-955a-e70985d0ae93 · inbound

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

Neural Finite-State Machines for Surgical Phase Recognition Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:39:27.970799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:27.970799Z digest=sha256:f9c1be305066ad3c8823de3c2f95080f3bda583bfbc28661e8827ac4ea314a83

Observation 96f4727f-8528-4273-b002-30a28049a2bc · inbound

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance cites this paper.

Beyond Rigid AI: Towards Natural Human-Machine Symbiosis for Interoperative Surgical Assistance Towards Robust Algorithms for Surgical Phase Recognition via Digital Twin Representation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T11:08:35.410912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:08:35.410912Z digest=sha256:95935a7432f753c3630aa47ace5be3bb470b36eb5a63dad8a6ed959c8048218e