Paper Citation Record · LEDGER

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework

As of 15 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2411.12199.

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

pith.paper-citation-record.v1
2411.12199 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:53:37.012286Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy19
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eccf4346-23af-46e6-83e7-14b963d1f3ad · outbound

This paper cites TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:36.528970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4cded6a-37ed-4f18-bcd3-a698dbfbeeba · outbound

This paper cites ”Isinet: an instance-based approach for surgical instrument segmentation.” Inter- national conference on medical image computing and computer-assisted intervention.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Isinet: an instance-based approach for surgical instrument segmentation.” Inter- national conference on medical image computing and computer-assisted intervention

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:38.201130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2fe16ba3-5762-4499-b7ed-1cbcb19ba38a · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:38.188695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ee257d54-e579-444c-a1c2-77d5ac9b03c2 · outbound

This paper cites ”Matis: Masked-attention transformers for surgical instrument segmentation.” 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI).

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Matis: Masked-attention transformers for surgical instrument segmentation.” 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI)

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:38.113779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5f2a6102-b105-4197-83eb-26c35889dfb2 · outbound

This paper cites ”From forks to forceps: A new framework for instance segmentation of surgical instruments.” Proceedings of the IEEE /CVF winter conference on applications of computer vision.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”From forks to forceps: A new framework for instance segmentation of surgical instruments.” Proceedings of the IEEE /CVF winter conference on applications of computer vision

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.958967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 894c7db2-ef4d-4fba-9e50-7c6c9a4ea358 · outbound

This paper cites ”Mask r-cnn.” Proceedings of the IEEE international conference on computer vision.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Mask r-cnn.” Proceedings of the IEEE international conference on computer vision

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.898047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8afe9e0a-aee4-442b-8e9b-eb5b21303285 · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:37.886722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation de96c2ed-53c9-41e1-8791-5fbd33bf50cd · outbound

This paper cites Schwing, Alexander Kirillov, Rohit Girdhar.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Schwing, Alexander Kirillov, Rohit Girdhar

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.865140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e489e4d-a31d-47ee-88d4-40dc111f9d53 · outbound

This paper cites ”Text promptable surgical instrument segmentation with vision- language models.” Advances in Neural Information Processing Systems 36 (2023): 28611-28623.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Text promptable surgical instrument segmentation with vision- language models.” Advances in Neural Information Processing Systems 36 (2023): 28611-28623

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.799588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9f25f925-c471-45d4-89d3-6964fc08c39e · outbound

This paper cites ”Surgicalsam: E fficient class promptable surgical instrument seg- mentation.” Proceedings of the AAAI Conference on Artificial Intelligence.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Surgicalsam: E fficient class promptable surgical instrument seg- mentation.” Proceedings of the AAAI Conference on Artificial Intelligence

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.790670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e0c20a38-bdcf-44a5-acac-2042ec7df355 · outbound

This paper cites ”Part to whole: Collaborative prompting for surgical instrument segmentation.” CoRR (2023).

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Part to whole: Collaborative prompting for surgical instrument segmentation.” CoRR (2023)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.777818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a54e4e94-cbfa-453e-93a5-4eb18dd3683c · outbound

This paper cites Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Berg, Wan-Yen Lo, Piotr Dollar, Ross Girshick

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.707737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7dd339c9-0c21-4e64-810b-464b994e9541 · outbound

This paper cites ”Learning transferable visual models from natural language supervision.” Interna- tional conference on machine learning.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Learning transferable visual models from natural language supervision.” Interna- tional conference on machine learning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.685857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c22aa18e-ff4a-4bda-bdce-7ef1992fe3f7 · outbound

This paper cites GPT-4 Technical Report.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework GPT-4 Technical Report

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:36.642330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7691b217-a4d5-4505-9225-ed1a885057d4 · outbound

This paper cites ”Towards robust referring image segmentation.” IEEE Trans- actions on Image Processing (2024).

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Towards robust referring image segmentation.” IEEE Trans- actions on Image Processing (2024)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.676632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 44f3f65c-4f1a-499d-a120-563c359211ca · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:37.667897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ebb66b60-1d9f-45de-844e-7c84027c718e · outbound

This paper cites ”Vision-language transformer and query generation for referring segmentation.” Proceedings of the IEEE/CVF international conference on computer vision.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Vision-language transformer and query generation for referring segmentation.” Proceedings of the IEEE/CVF international conference on computer vision

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.655831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ff9d5c7-ff29-4029-a4b1-1309cd4f3dd6 · outbound

This paper cites ”Encoder fusion network with co-attention embedding for referring image segmentation.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Encoder fusion network with co-attention embedding for referring image segmentation.” Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.599655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d42a879c-9356-4171-bfc4-b14a78f06bdc · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:37.484003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation f05b7205-497a-442e-aea9-496822239763 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:36.800138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03bcc1d3-70d8-4001-95fa-d9888ee3929e · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:37.445743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 87091b0f-66cc-4370-ac5f-ed028f280dc7 · outbound

This paper cites ”Gres: Generalized referring expression segmentation.” Proceedings of the IEEE /CVF conference on computer vision and pattern recognition.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Gres: Generalized referring expression segmentation.” Proceedings of the IEEE /CVF conference on computer vision and pattern recognition

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.437473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b3fbe785-8219-40cc-b4f6-e3bf58a8985b · outbound

This paper cites Shvets, Alexander Rakhlin, Alexandr A.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Shvets, Alexander Rakhlin, Alexandr A

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.428036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 2874e165-5bd5-4a2d-9544-a314ab7055a5 · outbound

This paper cites 2017 Robotic Instrument Segmentation Challenge.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework 2017 Robotic Instrument Segmentation Challenge

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:36.812348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 250b8791-ad50-4406-98db-cffd678533e4 · outbound

This paper cites 2018 Robotic Scene Segmentation Challenge.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework 2018 Robotic Scene Segmentation Challenge

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:36.815809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56fe5df7-4f18-4b64-8320-ac3bd2c509a5 · outbound

This paper cites ”Swin transformer: Hierarchical vision transformer using shifted windows.” Proceedings of the IEEE/CVF international conference on computer vision.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Swin transformer: Hierarchical vision transformer using shifted windows.” Proceedings of the IEEE/CVF international conference on computer vision

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.416975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 389baf37-2b90-4c4b-87c0-bbfe0cd751f4 · outbound

This paper cites Decoupled Weight Decay Regularization.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Decoupled Weight Decay Regularization

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:36.822336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9364781-c184-41f3-a7a0-60904c0d4f6f · outbound

This paper cites ”Imagenet: A large-scale hierarchical image database.” 2009 IEEE conference on computer vision and pattern recognition.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Imagenet: A large-scale hierarchical image database.” 2009 IEEE conference on computer vision and pattern recognition

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.316480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c2ffc917-ee48-40ee-931c-1937155eede1 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:36.896281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f65dd861-50b5-44c0-b431-cc7deabf93f6 · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:37.283233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 29108e5e-2251-4dd4-ac6f-21c9862d011f · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:37.272879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 699730b4-0546-4a1a-affb-75b9236faffb · outbound

This paper cites ”Feature pyramid networks for object detection.” Proceedings of the IEEE conference on computer vision and pattern recognition.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework ”Feature pyramid networks for object detection.” Proceedings of the IEEE conference on computer vision and pattern recognition

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.264318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e8e431ee-4b9f-4ff6-ab1b-acaa923c1e7e · outbound

This paper cites Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-12T17:53:37.006174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a8b1aae-a397-49ed-9eb8-b870216e316a · outbound

This paper cites an unresolved cited work.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-12T17:53:37.247843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9da2df34-4564-4128-ae87-048311b46ee1 · outbound

This paper cites Harrell, and B.

Rethinking Text-Promptable Surgical Instrument Segmentation with Robust Framework Harrell, and B

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:53:37.131030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Pith citing papers

No inbound Pith citation observations are available.