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Paper Citation Record · LEDGER

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2601.18252.

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

pith.paper-citation-record.v1
2601.18252 v2

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:05:42.736619Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

18 of 18 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 75a338f6-899d-4ee8-9510-a3d3762f685e · outbound

This paper cites Airvo: An illumination- robust point-line visual odometry,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Airvo: An illumination- robust point-line visual odometry,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:40.693657Z digest=sha256:58507fc7db0f14a830dc9791a86f10b451345cc2f07203ac35394d8f95016a43

Observation 8c1b7cdf-a714-4927-aaed-118c9b7f6e83 · outbound

This paper cites Airslam: An efficient and illumination-robust point-line visual slam system,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Airslam: An efficient and illumination-robust point-line visual slam system,

Reference 2

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no resolver link, observed 2026-08-03T08:05:40.815622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:40.815622Z digest=sha256:c3daf627293cb7a7027b7921c825bd8f95327ffb5d8956ab42729746ddb47fd8

Observation 2c402d96-680b-48fd-a6c4-ec0640296f3a · outbound

This paper cites Pluckernet: Learn to register 3d line reconstructions,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Pluckernet: Learn to register 3d line reconstructions,

Reference 3

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:40.939206Z digest=sha256:6b6b8f242ba1eae7d150a7f3df309fe448b6275d52c4b4c7df0dd1675860d65c

Observation 97351293-9a21-425c-9e72-6bb26891873f · outbound

This paper cites Learning active basis model for object detection and recognition,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Learning active basis model for object detection and recognition,

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.048961Z digest=sha256:85a25e076cdb3a9e023b01a6c87e538436821d408ee4287db8ced4134d593b70

Observation 1021f2a6-28fa-42f0-9359-afa5bbcba550 · outbound

This paper cites Image partitioning into convex polygons,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Image partitioning into convex polygons,

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.156533Z digest=sha256:b3e548b15d01281f70656c1c23313ab2f5dab71cd54d0923c47d14f806a67a42

Observation 88e4391c-0363-4c89-9461-a6f47f8ae0b9 · outbound

This paper cites Instance segmentation with mask- supervised polygonal boundary transformers,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Instance segmentation with mask- supervised polygonal boundary transformers,

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.242347Z digest=sha256:e64d4997836612189c59c14351bc12b1aedf19c25f641c2709de2f1a4d5b8585

Observation f1a24187-96b0-4508-a9ab-6ad69efb9d6a · outbound

This paper cites Fully convolutional line parsing,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Fully convolutional line parsing,

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.350917Z digest=sha256:c11a096e703873e868d1a2cb76e15746bb18734ded195be8dc8327343a0fdf7a

Observation df1ed88d-58f4-4b12-94f6-0d6a76240188 · outbound

This paper cites Line segment detection using transformers without edges,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Line segment detection using transformers without edges,

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.458803Z digest=sha256:891be7662c8e8bf1bf1ceb6fa4330110cad422473c87d15184c2a8e9c8c72761

Observation db243b00-e11d-4221-8781-287254b1d190 · outbound

This paper cites End-to-end wireframe parsing,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing End-to-end wireframe parsing,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.594465Z digest=sha256:3bfb614e4942825e15914602f536d62039e202981b5ed243548e407bb2bcbaf2

Observation 43f3bb61-7fe6-43e6-b71f-c00707d43c7f · outbound

This paper cites Holistically-attracted wireframe parsing,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Holistically-attracted wireframe parsing,

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.680868Z digest=sha256:1da7218a1a5d7bc7cc83421e1ce30260307957fb95becc5f0cb89f14378faaa9

Observation 1c7ca864-a865-4585-815b-1342cbf7842b · outbound

This paper cites Holistically-attracted wireframe parsing: From supervised to self-supervised learning,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Holistically-attracted wireframe parsing: From supervised to self-supervised learning,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.787057Z digest=sha256:a5dc6478a786f55765c1c2d3cdc12bc4952d67f4247dea17cd8342a8b08389f7

Observation e9eb0097-4f7c-4333-8a3a-3c124fa38d3f · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing U-net: Convolutional networks for biomedical image segmentation,

Reference 12

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:41.879045Z digest=sha256:aef83a041bff5cb91f76c3634546a2fa3ac80109e5929625641c1e31be7e1f19

Observation e85a2ab7-17f9-4974-b855-0ef11c40556a · outbound

This paper cites Superpoint: Self- supervised interest point detection and description,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Superpoint: Self- supervised interest point detection and description,

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:42.100304Z digest=sha256:0d3a17e610e14ad962ee88da93ff2ad8df74614559a0004844c2d8656c78bec2

Observation 1d255ee9-fd79-4ec7-8235-43e4ffa862f8 · outbound

This paper cites Learning to parse wireframes in images of man-made environments,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Learning to parse wireframes in images of man-made environments,

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:42.176211Z digest=sha256:a660725e0b80f6a3b2b4e34f620f9fc848b7059672d935d87aa3831131b9bd0b

Observation f08c4d80-07db-4fef-8746-8df43d109654 · outbound

This paper cites Efficient edge-based methods for estimating manhattan frames in urban imagery,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Efficient edge-based methods for estimating manhattan frames in urban imagery,

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:42.318045Z digest=sha256:35be2aec18b4ac2c6abcd076e256fa4c7c6e238929e4e5fa20b2cdbd54355c9e

Observation a857d456-3425-42ee-9ffc-8b22b81cdb91 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Adam: A Method for Stochastic Optimization

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:42.369236Z digest=sha256:5e663a65ae8433399cc9606f8ea443dcbe10830fe640aac1bf5b28d5254a579c

Observation 5edb136b-fa13-4e08-b267-92281220e98c · outbound

This paper cites Learning attraction field representation for robust line segment detection,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Learning attraction field representation for robust line segment detection,

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:42.578198Z digest=sha256:4ef2caa7683b89d38601cf89bed24425468dcd4311aa998d55caa605e19eeb15

Observation 6e1569a2-4859-4e26-a843-4340c60c233f · outbound

This paper cites Elsd: Efficient line segment detector and descriptor,.

Co-PLNet: A Collaborative Point-Line Network for Prompt-Guided Wireframe Parsing Elsd: Efficient line segment detector and descriptor,

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T08:05:42.736619Z digest=sha256:ec1812ba1fd94047a32e4af5fc689c2548a3115039fc9633746d100b5e4d7a26

Pith citing papers

No inbound Pith citation observations are available.