Paper Citation Record · LEDGER

LINEA: Fast and Accurate Line Detection Using Scalable Transformers

As of 12 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 2 inbound Pith citation observations for arXiv:2505.16264.

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

pith.paper-citation-record.v1
2505.16264 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:07:00.026338Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:59.925999Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T03:27:46.135330Z

Reference resolution

23 of 23 outbound references displayed

verified exact0
verified fuzzy18
unresolved4
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5d07f215-db7b-4514-8c20-81c28457da56 · outbound

This paper cites an unresolved cited work.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:07:00.333498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a25cdbeb-fd36-4d89-94c5-0eaed7ae33b6 · outbound

This paper cites LINEA: Fast and Accurate Line Detection Using Scalable Transformers.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers LINEA: Fast and Accurate Line Detection Using Scalable Transformers

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:59.925999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b58d3ea-7b27-40fe-b2a8-020326abbc1e · outbound

This paper cites It has a hierarchical backbone that generates a set of feature maps.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers It has a hierarchical backbone that generates a set of feature maps

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.319411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 91c6d729-a539-4201-8eb2-96448bcfe52a · outbound

This paper cites Datasets The ShangaiTech Wireframe dataset [14] is a manually- labeled dataset for line detection consisting of 5462 images (indoor and outdoor).

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Datasets The ShangaiTech Wireframe dataset [14] is a manually- labeled dataset for line detection consisting of 5462 images (indoor and outdoor)

Reference 4

Resolution: malformed identifier; raw_fallback, observed 2026-08-07T15:07:00.307137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3a03a291-7860-4944-b1fa-f0636ad93bf6 · outbound

This paper cites Our proposed models outper- form all other line detection methods in terms of speed and out-of-distribution test accuracy.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Our proposed models outper- form all other line detection methods in terms of speed and out-of-distribution test accuracy

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.294768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 62addba0-d166-4827-9581-9289d7b45616 · outbound

This paper cites an unresolved cited work.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:07:00.279791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2a907f0f-ebc6-438e-bf74-fa5492a52171 · outbound

This paper cites Holistically-attracted wireframe parsing,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Holistically-attracted wireframe parsing,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.268472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f6efbef6-a651-4ffe-b648-0996df22dd12 · outbound

This paper cites End-to-end wire- frame parsing,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers End-to-end wire- frame parsing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.257402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 957e3a5c-70aa-4a99-b02a-14273beb7a83 · outbound

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

LINEA: Fast and Accurate Line Detection Using Scalable Transformers End-to-end object detection with trans- formers,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.245952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 06cbf212-2e53-4edd-81c5-bb2bff20f416 · outbound

This paper cites Line segment detection using transformers with- out edges,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Line segment detection using transformers with- out edges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.234676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation efbf6875-f0c5-4b88-b0bf-a285f0208445 · outbound

This paper cites Dt-lsd: Deformable transformer-based line segment detection,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Dt-lsd: Deformable transformer-based line segment detection,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.224456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8718f1dc-3a40-4127-8975-cc6bbb58e98d · outbound

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

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Holistically-attracted wireframe parsing: From super- vised to self-supervised learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.213432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5fd14ba0-5aa9-4590-a338-1e6af0bdb30e · outbound

This paper cites Struc- tural asymmetric convolution for wireframe parsing,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Struc- tural asymmetric convolution for wireframe parsing,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.201903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6567b295-bf7d-4332-9c86-f4f7fabb3a38 · outbound

This paper cites Mlnet: An multi-scale line detector and descriptor network for 3d reconstruction,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Mlnet: An multi-scale line detector and descriptor network for 3d reconstruction,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.188847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8f9ee466-df7f-4327-92bc-930be6767eaf · outbound

This paper cites Attention is all you need,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Attention is all you need,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.177238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 174ebc08-a6ab-4392-8d88-5224fb3b9038 · outbound

This paper cites Ulsd: Unified line segment de- tection across pinhole, fisheye, and spherical cameras,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Ulsd: Unified line segment de- tection across pinhole, fisheye, and spherical cameras,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.166360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1b81ace4-4c33-4c71-9bce-8b4138b51a36 · outbound

This paper cites Fully convolutional line parsing,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Fully convolutional line parsing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.154427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3663c14a-1c67-4fc9-ac44-c05b0d6bb7a5 · outbound

This paper cites D-fine: Redefine regression task in detrs as fine-grained distribution refinement,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers D-fine: Redefine regression task in detrs as fine-grained distribution refinement,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.142549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8e649ae3-60f9-476b-9d29-9d5909d7d3ae · outbound

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

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:59.996702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b47a6c89-70e4-4ae2-8f38-7b8e7e0f79e1 · outbound

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

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Learning to parse wire- frames in images of man-made environments,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.131106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c1b7f1c5-f6bf-452f-ab14-86e709686011 · outbound

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

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Efficient edge-based methods for estimating manhattan frames in urban imagery,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.119180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 382d4932-1753-4178-a445-cbc68e1d2283 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers Imagenet: A large-scale hierarchical image database,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.108143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 25e2ee95-d543-476c-9f2f-8a685f4fef7e · outbound

This paper cites During training, we apply the following data augmentation techniques: HorizontalFlipping, VerticalFlipping, ColorJittering, RandomCropping and RandomResizing.

LINEA: Fast and Accurate Line Detection Using Scalable Transformers During training, we apply the following data augmentation techniques: HorizontalFlipping, VerticalFlipping, ColorJittering, RandomCropping and RandomResizing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:07:00.094249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation a25cdbeb-fd36-4d89-94c5-0eaed7ae33b6 · inbound