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Paper Citation Record · LEDGER

Metrics Matter in Surgical Phase Recognition

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2305.13961.

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

pith.paper-citation-record.v1
2305.13961 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:13:11.795218Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:35:46.572581Z

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 786c87e1-6152-4771-8ae9-f4502ef66405 · inbound

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

Neural Finite-State Machines for Surgical Phase Recognition Metrics Matter in Surgical Phase Recognition

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-12T11:39:27.984121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:39:27.984121Z digest=sha256:57b3d9c45cc1e00f663b0516cf567f5d4e09223525db9e5339a4d878a7a530b5

Observation 38d91347-38d3-45f4-92f5-209c358aab8f · inbound

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy cites this paper.

Benchmarking and Enhancing Surgical Phase Recognition Models for Robotic-Assisted Esophagectomy Metrics Matter in Surgical Phase Recognition

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T21:52:13.462305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:52:13.462305Z digest=sha256:108718f16bbb2eab6477b1bc19f53858555f7c9fd50726c1159580ab62f3ed77

Observation 40ec74bd-f7c7-4e7f-9137-fcc792377505 · 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 Metrics Matter in Surgical Phase Recognition

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T18:40:00.979366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:40:00.979366Z digest=sha256:254dc0d75c19ff5872937e917a6878461632897aa49a2116fe0c13d3a2bb8f0d

Observation e60ac058-7af2-4d22-8e16-736ec05f30b3 · inbound

ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model cites this paper.

ReSW-VL: Representation Learning for Surgical Workflow Analysis Using Vision-Language Model Metrics Matter in Surgical Phase Recognition

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T20:13:11.795218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:13:11.795218Z digest=sha256:1bc5fc6e5121cad90eeae947cf598e64741fdefbebc7247d576ffd51ac96c2ba

Observation 6fbafef8-a869-4afe-a950-76b4fe9f55f7 · inbound

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition cites this paper.

SemiVT-Surge: Semi-Supervised Video Transformer for Surgical Phase Recognition Metrics Matter in Surgical Phase Recognition

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:47:50.868013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:47:50.868013Z digest=sha256:ca97b5c23ca6b2c6242932962fc8c1b0da80a4a1d14c94affcd10b036faad6d6

Observation 78376dde-e7a9-4c81-9080-27139896c8d3 · inbound

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery cites this paper.

CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery Metrics Matter in Surgical Phase Recognition

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:24:43.090737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:24:43.090737Z digest=sha256:56c846ec26a2521f4a298b50e23537a25ac736028a1de02f7b486312c61fb343

Observation 5b885d5b-650b-4c11-a0e9-4a3176c08730 · inbound

Current validation practice undermines surgical AI development cites this paper.

Current validation practice undermines surgical AI development Metrics Matter in Surgical Phase Recognition

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T01:42:17.480781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T01:41:38.726003Z digest=sha256:25e143aa57f6f42c89e9d73ff83b0ef83e7ec43dfd6687e7e05ab04f88b1739b

Observation 6ed6418f-0c7e-4f9b-abc3-7b7012c5e0ba · inbound

Current validation practice undermines surgical AI development cites this paper.

Current validation practice undermines surgical AI development Metrics Matter in Surgical Phase Recognition

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-03T23:55:22.619943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:55:22.619943Z digest=sha256:67d0091c5b4583a1a18868717f4b25bbd64909ad71df86d2684deaa1ecae6165

Observation b4bf0089-0925-4276-abfa-3bda69922003 · inbound

SurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition cites this paper.

SurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition Metrics Matter in Surgical Phase Recognition

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:03:46.772543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-20T21:00:18.057571Z digest=sha256:99d272904420f96a4b861bd71917d0bd42bd647e81c08b54d68d817ff307f9ec

Observation bf038229-00ff-4514-b72a-224df4f2772b · inbound

SurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition cites this paper.

SurgicalMamba: Dual-Path SSD with State Regramming for Online Surgical Phase Recognition Metrics Matter in Surgical Phase Recognition

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:35:46.574127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T21:15:02.474969Z digest=sha256:27c5521aaf350304dc832061c13c7380463be16842b0e12b695237d847320815

Observation 802b1beb-0c65-4985-adf3-db552c24134f · inbound

HTT-Net: Hierarchical Text-guided Transition Modeling for Surgical Video Phase Recognition cites this paper.

HTT-Net: Hierarchical Text-guided Transition Modeling for Surgical Video Phase Recognition Metrics Matter in Surgical Phase Recognition

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-01T19:59:18.018455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T19:59:18.018455Z digest=sha256:e5446baa3b14ddfc0218defce1a1a49106c800dfb3626bc780b52224aa17fa83