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Paper Citation Record · LEDGER

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2507.19592.

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

pith.paper-citation-record.v1
2507.19592 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:19:52.221498Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy43
  • unresolved7
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 647f695d-98ff-4b77-904b-d3cfaf62d9dc · outbound

This paper cites Robotic assisted minimally invasive surgery,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Robotic assisted minimally invasive surgery,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation a09e2cf1-4782-4d8e-b8f0-099b72793b86 · outbound

This paper cites 2018 robotic scene segmentation challenge,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation 2018 robotic scene segmentation challenge,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 62d856c8-84c9-4e28-8d56-4d90508a538a · outbound

This paper cites A kinematic bottleneck approach for pose regression of flexible surgical instruments directly from images,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation A kinematic bottleneck approach for pose regression of flexible surgical instruments directly from images,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 05cb7199-66c6-420a-adbd-5abaa03ca495 · outbound

This paper cites Recognition of instrument-tissue interactions in endo- scopic videos via action triplets,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Recognition of instrument-tissue interactions in endo- scopic videos via action triplets,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e186495c-871a-4dad-a1ef-42fcb2d5c1e4 · outbound

This paper cites Deep learning assisted robotic magnetic anchored and guided endoscope for real-time instrument tracking,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Deep learning assisted robotic magnetic anchored and guided endoscope for real-time instrument tracking,

Reference 5

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raw_fallback, observed 2026-08-06T14:20:00.954076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation bd3f1c44-4a34-4c16-aaa2-79fcb6ad9ef3 · outbound

This paper cites Co-optimizing robot, environ- ment, and tool design via joint manipulation planning,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Co-optimizing robot, environ- ment, and tool design via joint manipulation planning,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:46.396537Z digest=sha256:93ed8ad48ab382f54f5733eadf9bb75a168efe6ca3e77535b8dd0f0c4115e5b4

Observation 8563fb38-36ea-43c8-8909-7c30b9c21ac2 · outbound

This paper cites Cholectriplet2021: A benchmark challenge for surgical action triplet recognition,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Cholectriplet2021: A benchmark challenge for surgical action triplet recognition,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:46.494646Z digest=sha256:7033573cdb182a5bd86914cc54f7de1f6df880c0da1ab20e34c4131251c09fbd

Observation 0ad70e91-ca4f-48fe-8db1-8efd4b9ba3f7 · outbound

This paper cites Toward image-guided automated suture grasping under com- plex environments: A learning-enabled and optimization-based holistic framework,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Toward image-guided automated suture grasping under com- plex environments: A learning-enabled and optimization-based holistic framework,

Reference 8

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raw_fallback, observed 2026-08-06T14:20:00.497920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:46.614349Z digest=sha256:47c308ce9bf0311b80d77c824953d8950f18085e8d77f070f84818af6a8d9e39

Observation 62855df4-33db-4b19-be4b-950c31a89fda · outbound

This paper cites Incorporating temporal prior from motion flow for instrument segmentation in minimally invasive surgery video,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Incorporating temporal prior from motion flow for instrument segmentation in minimally invasive surgery video,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:46.770491Z digest=sha256:b70129cef5b70f4b8beff4ef469df5a2efef8abb1e528c9f8a0c9279e6eaa193

Observation af227b44-5e61-4c88-be4d-7ebe5eed4b40 · outbound

This paper cites Text promptable surgical instrument segmentation with vision-language models,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Text promptable surgical instrument segmentation with vision-language models,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 35427e35-41e1-4e44-97a7-9e1fa8bdcf4e · outbound

This paper cites Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Enhancing surgical instrument segmentation: integrating vision transformer insights with adapter,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:47.018688Z digest=sha256:b261cfb77c9f1de6f79ba1cdeaa8d90c0224e13a542ba2fa8815f7a28525d0ff

Observation 23d0c1f4-fd96-4a38-8175-c1fe676abe85 · outbound

This paper cites 2017 robotic instrument segmentation challenge,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation 2017 robotic instrument segmentation challenge,

Reference 12

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raw_fallback, observed 2026-08-06T14:19:59.810450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:47.150828Z digest=sha256:49759c37f9bbb1678238f287e96a62a732af235f84f53ef1bd8a3605434f8a76

Observation a26f7b9a-1eb5-4616-8885-0fca40a1319b · outbound

This paper cites Automatic instrument segmentation in robot-assisted surgery using deep learning,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Automatic instrument segmentation in robot-assisted surgery using deep learning,

Reference 13

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raw_fallback, observed 2026-08-06T14:19:59.552475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:47.292161Z digest=sha256:4359bdda418cadfe2db517e9eba2042f020520c5076fe27257b38552660a0cce

Observation b5fe1708-6a00-4dd6-9abe-a59b68447dcb · outbound

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

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:47.419306Z digest=sha256:7d61828a248825855a6904d2d1ffc564387e1afc52589144d2961d123f384e46

Observation 7b4db12d-a674-4423-8794-42058fc49522 · outbound

This paper cites ISINet: an instance- based approach for surgical instrument segmentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation ISINet: an instance- based approach for surgical instrument segmentation,

Reference 15

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 999acc41-0a72-4371-a0ac-af5989f29010 · outbound

This paper cites TraSeTR: track-to-segment transformer with contrastive query for instance-level instrument segmentation in robotic surgery,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation TraSeTR: track-to-segment transformer with contrastive query for instance-level instrument segmentation in robotic surgery,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 030f09a8-ed93-4e83-8a9b-8ec2d3c580c7 · outbound

This paper cites From forks to forceps: A new framework for instance segmentation of surgical instruments,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation From forks to forceps: A new framework for instance segmentation of surgical instruments,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:47.846294Z digest=sha256:ccb1318ba70fceb0988f07376dba3015731c4fd696d20ca42c7464e06d9a6cee

Observation cc531c7c-18cd-4320-a56b-8152f828bb0b · outbound

This paper cites Instances as queries,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Instances as queries,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:47.959063Z digest=sha256:7fdbb74c5a13963cac552c1866299a464a1fe2f8d315c59565657427fcc2b855

Observation 503d9814-2cfb-4238-94eb-7dee4abb80c0 · outbound

This paper cites Articulated multi-instrument 2-d pose estimation using fully convolutional networks,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Articulated multi-instrument 2-d pose estimation using fully convolutional networks,

Reference 19

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no resolver link, observed 2026-08-06T14:19:48.098011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:48.098011Z digest=sha256:89c92f0a4e65edd9c5f3a976c5f95e05230078ef7b23a0991e3766f2561ab67f

Observation 9da5de99-0b0f-48ca-b9fd-d3f76bcf571c · outbound

This paper cites Task-aligned part-aware panoptic seg- mentation through joint object-part representations,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Task-aligned part-aware panoptic seg- mentation through joint object-part representations,

Reference 20

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raw_fallback, observed 2026-08-06T14:19:58.490241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:48.199861Z digest=sha256:ed6edc4cceaff67148f53e50c4efdc5baaa428875a8a45bd3a9cb2909e924a46

Observation ab4293ea-7930-421a-abd4-8474a0721c50 · outbound

This paper cites Masked-attention mask transformer for universal image segmentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Masked-attention mask transformer for universal image segmentation,

Reference 21

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no resolver link, observed 2026-08-06T14:19:48.380571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:48.380571Z digest=sha256:82908139112221842a79b9c66cbb53b5a928f733c281642db63931f71235658f

Observation 93c38869-44bb-4f44-b583-f29034665c48 · outbound

This paper cites Robust medical instrument segmentation challenge 2019,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Robust medical instrument segmentation challenge 2019,

Reference 22

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raw_fallback, observed 2026-08-06T14:19:58.299183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:48.495928Z digest=sha256:b4fcad1e9e33b7f7d5adda347dc831b372b4b4946ecc66a63abbcbd7f2e1f35c

Observation 6e40c7fc-25ab-4267-ac83-b580b378b01b · outbound

This paper cites CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation CholecInstanceSeg: A Tool Instance Segmentation Dataset for Laparoscopic Surgery

Reference 23

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verified exact
local_arxiv, observed 2026-08-06T14:19:52.525902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4e631bdb-e547-4268-be24-0930884ad2fc · outbound

This paper cites Pixel-wise recognition for holistic surgical scene understanding,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Pixel-wise recognition for holistic surgical scene understanding,

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-06T14:19:58.130934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:48.806605Z digest=sha256:1853db1f7f8817738c83689496f89ba0d790ffe29311ce205d063066385daf2e

Observation 8696096b-a7a1-46be-8aa8-ff4fd89be50b · outbound

This paper cites MATIS: Masked-attention transformers for surgical instrument segmentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation MATIS: Masked-attention transformers for surgical instrument segmentation,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T14:19:57.863442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:48.929128Z digest=sha256:87f07d1ba3fd30d69f349887f3bff2c8b723e7452630fc044c215b55a765f713

Observation dfd066cf-7a9d-4eec-a733-71a9d2b9be33 · outbound

This paper cites Part-aware panoptic segmentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Part-aware panoptic segmentation,

Reference 26

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raw_fallback, observed 2026-08-06T14:19:57.662827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.080361Z digest=sha256:a7a5b5f224aac175d486096a58d35d2929c73cf700842e86f08dd7baed338309

Observation 1a02b184-dfdb-4248-bb89-54af6a91422a · outbound

This paper cites Panoptic segmentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Panoptic segmentation,

Reference 27

Resolution
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raw_fallback, observed 2026-08-06T14:19:57.398253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.210646Z digest=sha256:7411d06568d7a05c14992f03746a0ee2024e8f8d59391b9b2444b145bc08db2b

Observation 345b3daa-8695-4afc-95b0-aa172da3f167 · outbound

This paper cites Aiparsing: Anchor- free instance-level human parsing,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Aiparsing: Anchor- free instance-level human parsing,

Reference 28

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raw_fallback, observed 2026-08-06T14:19:57.100593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.354661Z digest=sha256:194eb91aff1b4b7449e26457e0d03f63586018667fdc76539d11ba26556b96c6

Observation d536fb2f-a21c-474c-be64-4b55cafee885 · outbound

This paper cites Contextual instance decoupling for instance- level human analysis,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Contextual instance decoupling for instance- level human analysis,

Reference 29

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raw_fallback, observed 2026-08-06T14:19:56.814158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.479812Z digest=sha256:3f71738c1f72885f5ec1bcbafd36dca97d524769fa42487a326a2f6380f1ea6a

Observation 3820aba9-8be1-496f-b32e-a4b7d6e55e06 · outbound

This paper cites Cp-net: Instance-aware part segmentation network for biological cell parsing,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Cp-net: Instance-aware part segmentation network for biological cell parsing,

Reference 30

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raw_fallback, observed 2026-08-06T14:19:56.551013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.601775Z digest=sha256:7bde14079ebd441b618536c02c33fa92e4330bdda2844915dd3491e354bce371

Observation a167b5cd-1cb8-4d4c-8297-620adac45f77 · outbound

This paper cites Multi-task Fusion for Efficient Panoptic-Part Segmentation.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Multi-task Fusion for Efficient Panoptic-Part Segmentation

Reference 31

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local_arxiv, observed 2026-08-06T14:19:52.384800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.719192Z digest=sha256:6cdff2a65e47d77c8ec74c1215fb5920cd475f966a0c1fa55ec8fa0bb0d46dab

Observation df0b49b0-d2e9-4a35-8fe0-4e93a0df8f32 · outbound

This paper cites Panoptic- PartFormer: Learning a unified model for panoptic part segmentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Panoptic- PartFormer: Learning a unified model for panoptic part segmentation,

Reference 32

Resolution
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raw_fallback, observed 2026-08-06T14:19:56.238821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.830733Z digest=sha256:ec6175e2bc1f84be7ee62d7769b457399434a3bb88497615c7d87dda9ae0d52a

Observation 4110d556-70ec-49ad-9274-f6721a5dbb11 · outbound

This paper cites Panoptic-PartFormer++: A unified and decoupled view for panoptic part segmentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Panoptic-PartFormer++: A unified and decoupled view for panoptic part segmentation,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:55.966476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:49.948449Z digest=sha256:483435ebb581d3800c0fd5f90426c8439bff30dc3114f47d790f8e9ab905e869

Observation 577d5c32-c9ef-4afe-bf30-74369faecc1a · outbound

This paper cites Weakly supervised instance segmentation using class peak response,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Weakly supervised instance segmentation using class peak response,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:55.691888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:50.100863Z digest=sha256:cd69ec0a67506627e6670ccfb06c00923ee71bb9d8bcceb050bd0fd2717c0417

Observation bc04012f-4d80-4aee-a9be-c64289d01b82 · outbound

This paper cites Boxinst: High-performance instance segmentation with box annotations,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Boxinst: High-performance instance segmentation with box annotations,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:55.470828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:50.278515Z digest=sha256:f02359470797bd52b75942c8579de2904c2340ee1a043778486ffb6c24aa7881

Observation 988dcd07-f5a8-4311-9a6f-a9123494b65c · outbound

This paper cites Boxteacher: Exploring high-quality pseudo labels for weakly supervised instance seg- mentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Boxteacher: Exploring high-quality pseudo labels for weakly supervised instance seg- mentation,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:55.320588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:50.440609Z digest=sha256:7c3f5797ecb30dfa1daf2161f359c9028f65709a30c3d0fb952fc7566195b444

Observation 2af96540-068b-4264-8be2-eca0780b879c · outbound

This paper cites Pointly-supervised instance seg- mentation,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Pointly-supervised instance seg- mentation,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:55.129980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:50.598105Z digest=sha256:bdef04550ae6ce493e7c5243875ea2b4b56c08381e4ad87ee093050459653d61

Observation 6cecd1d4-d088-4da2-9ee6-d2716e0910d4 · outbound

This paper cites Discobox: Weakly supervised instance segmentation and semantic correspondence from box supervision,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Discobox: Weakly supervised instance segmentation and semantic correspondence from box supervision,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:54.992848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:50.736055Z digest=sha256:2c37750c4854b5e28840bfc1b7bd0ea2a5135c70a44873f5620c01dd4065b9ad

Observation 1c1e8f54-f254-4119-a92c-00974ddbbde3 · outbound

This paper cites Beyond semantic to instance segmentation: Weakly-supervised instance segmentation via semantic knowledge transfer and self-refinement,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Beyond semantic to instance segmentation: Weakly-supervised instance segmentation via semantic knowledge transfer and self-refinement,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:54.753668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:50.848321Z digest=sha256:f2af4f2fd01b5c50f10839e41c11b58646622e0420d961ea4e720f8ec655d2b5

Observation ff99a213-67a7-4334-80ed-1e66e92eb63b · outbound

This paper cites Class-incremental continual learning for instance segmentation with image-level weak supervision,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Class-incremental continual learning for instance segmentation with image-level weak supervision,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:54.418759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:50.971197Z digest=sha256:1f6c43d3f56009f6f4cea4cd3aa348b58958b27fe3a2f6c3c73133df5054ced2

Observation fd9544d9-2893-49f0-8bb3-30945be02ba2 · outbound

This paper cites Learning joint segmentation of tis- sues and brain lesions from task-specific hetero-modal domain-shifted datasets,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Learning joint segmentation of tis- sues and brain lesions from task-specific hetero-modal domain-shifted datasets,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:54.136967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:51.084737Z digest=sha256:4fd09087804a6db739a955b6bb848bf334e7fa1bbd62215b1c198f78e29378af

Observation 70dbef99-3a81-4f8d-8457-b41b55901c5e · outbound

This paper cites Deep residual learning for image recognition,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Deep residual learning for image recognition,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T14:19:51.193366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:51.193366Z digest=sha256:2052acb27d1dbcd68299eb55443d43ce59f7e3dd25e814b97d670a90ba51bc59

Observation 5c368946-f911-4500-8ccc-587805f22dca · outbound

This paper cites Swin transformer: Hierarchical vision transformer using shifted windows,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Swin transformer: Hierarchical vision transformer using shifted windows,

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T14:19:51.308866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:51.308866Z digest=sha256:861e97b33ab4838e6c33bbc6140d65dd006d500575dd9ec361115618e655bc59

Observation 9a533c90-c6ad-4290-ad53-da3e8ce5c31a · outbound

This paper cites Panoptic feature pyramid networks,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Panoptic feature pyramid networks,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:53.861387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:51.418834Z digest=sha256:ee150b488c887954d6afc2508273d93a2dd2351e0bcec0249338deeb8e8a91bb

Observation 8afb02e0-7f8f-483b-a721-0d8092662bc2 · outbound

This paper cites Feature pyramid networks for object detection,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Feature pyramid networks for object detection,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:53.579490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:51.512050Z digest=sha256:090cae0879ce95f411bac6cf7cf8404581f9a6ced6c657cce9d24eeee9e5f614

Observation 629f097b-ed5b-4e94-a0b6-b706b0e447af · outbound

This paper cites End-to-end object detection with transformers,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation End-to-end object detection with transformers,

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T14:19:51.671346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:51.671346Z digest=sha256:0196eb0bdcbf2d396ea1c6f897955c2cc4e45ca00de0399f1da5112c24f8a4db

Observation 36dfd54b-02f3-4a5b-ac04-09c04ee497a3 · outbound

This paper cites Pointrend: Image segmen- tation as rendering,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Pointrend: Image segmen- tation as rendering,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:53.374946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:51.765706Z digest=sha256:6afafebf9432d1e88520592c12e5ae4bce55f4df0951255eef16086a23087f83

Observation 08cbc834-3001-4843-b103-306200cc7659 · outbound

This paper cites Polite teacher: Semi-supervised instance segmentation with mutual learning and pseudo-label thresholding,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Polite teacher: Semi-supervised instance segmentation with mutual learning and pseudo-label thresholding,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:53.235146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:51.866905Z digest=sha256:f6e09b7c514b6c6709408f94e759a0ca970593347459f581db0aa04b5810a0c0

Observation 9a141143-8ab8-4b67-ab24-c59c439ce263 · outbound

This paper cites Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Mean teachers are better role mod- els: Weight-averaged consistency targets improve semi-supervised deep learning results,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T14:19:52.023611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:19:52.023611Z digest=sha256:18118463139bdf39b292d0d5c027212383209102062716cf967f6360769d75dc

Observation ba0eef57-d26b-41c4-9262-38f3222feef8 · outbound

This paper cites Segment anything annotator,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Segment anything annotator,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:53.115995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:52.097481Z digest=sha256:b50eff72c98cf6429bf4049505ae89925478df614eab51bf32785015abeb1e0c

Observation 36dc7a5f-8892-493e-a4a4-d9c7a2100dbf · outbound

This paper cites Segment anything,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Segment anything,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:52.857086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:52.159620Z digest=sha256:f1bfa25ea864360d7b342ddee3cd2c18e56ad98ad6aefc40a08b803a775bef72

Observation 76c4804b-c25e-4e65-b7f2-eb4c7cc6a34b · outbound

This paper cites Dinov2: Learning robust visual features without supervision,.

SurgPIS: Surgical-instrument-level Instances and Part-level Semantics for Weakly-supervised Part-aware Instance Segmentation Dinov2: Learning robust visual features without supervision,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:19:52.664984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-06T14:19:52.221498Z digest=sha256:a358cc3b7a36f8c807af7ae1ba9aef4ad790ab24ceb8a2d46f1465adc8aafe83

Pith citing papers

No inbound Pith citation observations are available.