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Paper Citation Record · LEDGER

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos

As of 19 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2504.18756.

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

pith.paper-citation-record.v1
2504.18756 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:15:11.890796Z

measured 13 of 13 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c6f8a25-f5f5-46ef-a22b-e08381224e59 · outbound

This paper cites an unresolved cited work.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.840605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.840605Z digest=sha256:4ff90bafed8932a5bd4fec80f835a04a77cb30847ab1f70269a95766ed2ff811

Observation 2f8f1806-48eb-402e-bbbd-168d0f679d22 · outbound

This paper cites Medical image analysis 59, 101572.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Medical image analysis 59, 101572

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:15:12.196643Z

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=2026-08-16T10:15:11.849632Z digest=sha256:09ee5e192aa794c3f3eb155cfb784e74ff76fc330ea9b4ee53e4413af96fc1f1

Observation 684335b8-1a2c-449f-b07e-d05624351578 · outbound

This paper cites an unresolved cited work.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.864416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.864416Z digest=sha256:ad53a951ff869880e99602f74a91b210c73cd6133c2463f14de520481f4ce53c

Observation e49887b7-9049-4840-86df-a67defaf64e3 · outbound

This paper cites SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.877206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.877206Z digest=sha256:5ea4b9bef375c0859bc09ec18bd9117f5fca40de220877fa63c6390c2d2bf57e

Observation c45f1abc-51f1-4202-a019-5cb2fefc72a1 · outbound

This paper cites IEEE transactions on medical imaging 36, 86–97.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos IEEE transactions on medical imaging 36, 86–97

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:15:12.154011Z

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=2026-08-16T10:15:11.881844Z digest=sha256:04c63e1d82b2fe9a4925dbd7dca56d1487f59cab8737df05e6f11dd5651187d5

Observation dfad51c6-2505-4442-9527-0967b47ff922 · outbound

This paper cites Cholectriplet2021:Abenchmark challenge for surgical action triplet recognition.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Cholectriplet2021:Abenchmark challenge for surgical action triplet recognition

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:15:12.168231Z

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=2026-08-16T10:15:11.868505Z digest=sha256:fa46924d164698fd29d9898bdd5c51f754f773b60e0778f57d6640e0582e7ecc

Observation 98d6869d-9296-4f55-ad2c-129ce91c5054 · outbound

This paper cites International journal of computer assisted radiology and surgery 11, 1937–1949.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos International journal of computer assisted radiology and surgery 11, 1937–1949

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T10:15:12.182985Z

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=2026-08-16T10:15:11.854258Z digest=sha256:f7764aeecc6207a2c6dd6c8ef848aab255d8e0f62ae7a13e88327c2a3ed5ad86

Observation 4ab0a123-d33f-46ba-a577-6bed6abe62dc · outbound

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

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:f1fd4416901c9481596c467234dbabe17baf2045607948bff45cb489e5fe7fd0

Observation 02a7b148-62a4-41b8-b9d0-d8bbdf94233b · outbound

This paper cites Longformer: The Long-Document Transformer.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Longformer: The Long-Document Transformer

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.835151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.835151Z digest=sha256:ec71a0dabaf26d82599e32cdac863bce0cf1aac4d193def81178a95a77f00098

Observation 3c1abd43-509d-4c88-b9bd-bbb6907e6439 · outbound

This paper cites ASFormer: Transformer for Action Segmentation.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos ASFormer: Transformer for Action Segmentation

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.890796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.890796Z digest=sha256:49ce7a583256943d9c4b3a69d310e5cf949cdffe1b02770bceffe87bddae17f7

Observation 9a514b64-3717-4912-b75f-d9f5e8b395a8 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos DINOv2: Learning Robust Visual Features without Supervision

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.872776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.872776Z digest=sha256:0b3d84f83d031847a01599ab99c6df24e1b8c78a4577637e927f86fe6f451846

Observation ff02ba8d-0565-49a6-9e07-44ef91e84645 · outbound

This paper cites MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos MS-TCRNet: Multi-Stage Temporal Convolutional Recurrent Networks for Action Segmentation Using Sensor-Augmented Kinematics

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-16T10:15:12.071890Z

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=2026-08-16T10:15:11.845010Z digest=sha256:d30f524cd8a0392d3c77e49d57c0092a25e850b6d582d8f26ed65024c73d7597

Observation 503a7761-bb7a-470b-b827-25dbd3e2fb53 · outbound

This paper cites Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition.

Multi-Stage Boundary-Aware Transformer Network for Action Segmentation in Untrimmed Surgical Videos Surgformer: Surgical Transformer with Hierarchical Temporal Attention for Surgical Phase Recognition

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T10:15:11.886109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:15:11.886109Z digest=sha256:d09853b170d4208f4784b3892445605c2f95ab4a813b1aa7c461dba28fa1736e

Pith citing papers

No inbound Pith citation observations are available.