Pith. sign in

Paper Citation Record · LEDGER

ForCenNet: Foreground-Centric Network for Document Image Rectification

As of 13 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2507.19804.

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

pith.paper-citation-record.v1
2507.19804 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:08:14.807175Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

61 of 61 outbound references displayed

  • verified exact3
  • verified fuzzy50
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bc2935a1-62b4-45c4-a36b-22d8c8c488ac · outbound

This paper cites Multi-label cluster discrimination for visual representation learning.

ForCenNet: Foreground-Centric Network for Document Image Rectification Multi-label cluster discrimination for visual representation learning

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.283362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:11.586850Z digest=sha256:f197572f707fa542a3519f5b1d7ba8b57a7891f6fc1b53cf0e4a4ad83f71f2b5

Observation f642f1a3-fd02-4549-8ba1-dfbbb4bff02e · outbound

This paper cites A gated and bifurcated stacked u-net module for document image dewarping.

ForCenNet: Foreground-Centric Network for Document Image Rectification A gated and bifurcated stacked u-net module for document image dewarping

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.276447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:11.624964Z digest=sha256:33161f4982ec6192423ec7581b34857423575fb1dc775a40988d977b44c9b1e5

Observation e38361ef-e11d-4641-8e8f-93e0c84aa4fe · outbound

This paper cites Brown and W.B.

ForCenNet: Foreground-Centric Network for Document Image Rectification Brown and W.B

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.269861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:11.701648Z digest=sha256:d652ac53a407a494bc7205d2fdef209e1bea166fdcc620dc265027b92d3289fd

Observation 845a1c1f-d62a-4479-b6ee-44df9f491885 · outbound

This paper cites Rectify- ing the bound document image captured by the camera: a model based approach.

ForCenNet: Foreground-Centric Network for Document Image Rectification Rectify- ing the bound document image captured by the camera: a model based approach

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.262542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:11.756605Z digest=sha256:cd04b625fc38a1ec7f3fba45e8e92f9dcf62a392c6d4e8f7687a3cdaffb34026

Observation a60ead84-d01a-4f15-a262-7725374bdf20 · outbound

This paper cites Numerical meth- ods for engineers.

ForCenNet: Foreground-Centric Network for Document Image Rectification Numerical meth- ods for engineers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.255283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:11.856365Z digest=sha256:e927d040180a367e521b146fff4feed210c19ad1067483ace4707b92b58e2613

Observation 4cd3b18e-383e-4cca-8cc5-063e62daa64e · outbound

This paper cites MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary.

ForCenNet: Foreground-Centric Network for Document Image Rectification MataDoc: Margin and Text Aware Document Dewarping for Arbitrary Boundary

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:08:14.925062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.004468Z digest=sha256:f140765635fa1433c2d4c3c1fe3a90c9ad88d29ded757b4a1e885ea5bfb991a0

Observation 73c70e76-2761-4c79-92b1-de6245628dd8 · outbound

This paper cites Dewarpnet: Single-image document unwarping with stacked 3d and 2d regression networks.

ForCenNet: Foreground-Centric Network for Document Image Rectification Dewarpnet: Single-image document unwarping with stacked 3d and 2d regression networks

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.247248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.094459Z digest=sha256:be29902cfa845b1538bddd141059e5a963e0bf5366806f9b46162c367f5ec19c

Observation 5e752546-5826-4ee5-adcc-efa52fd267ec · outbound

This paper cites End- to-end piece-wise unwarping of document images.

ForCenNet: Foreground-Centric Network for Document Image Rectification End- to-end piece-wise unwarping of document images

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.239395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.178095Z digest=sha256:b7de322d1e8917fdee48d424c4099bba0af853586a3a30c9deb7fb79cc1493a5

Observation 23c70027-70b0-45b5-898a-1e10afd58cd8 · outbound

This paper cites DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction.

ForCenNet: Foreground-Centric Network for Document Image Rectification DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:12.264176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:12.264176Z digest=sha256:499240649a02c2364f6d66b41e35373993a08ef05b6cd5c2c85ab2479c4df02c

Observation eebba3dc-9a0e-4a81-b995-71e2bf4b89b7 · outbound

This paper cites DocScanner: Robust Document Image Rectification with Progressive Learning.

ForCenNet: Foreground-Centric Network for Document Image Rectification DocScanner: Robust Document Image Rectification with Progressive Learning

Reference 10

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:08:14.909828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.326222Z digest=sha256:56f943d44a3bd62c9d794396dabf79d3158b8346c2bb5bcd41dff272de6b1bd1

Observation 9a185183-4392-4a23-903a-e931b584805b · outbound

This paper cites Geometric representation learning for document image rectification.

ForCenNet: Foreground-Centric Network for Document Image Rectification Geometric representation learning for document image rectification

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.230895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.429293Z digest=sha256:85c1fa4184d18d5167e23d355f33950f600aa1728ec66614a3d3a3b02114ce8c

Observation eb604f20-610e-4188-8116-66679f6c2159 · outbound

This paper cites Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour.

ForCenNet: Foreground-Centric Network for Document Image Rectification Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:12.434336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:12.434336Z digest=sha256:3a0bde71e50909a5d81d1b6fd376873a831fb0bf11a2818d8e5b9b4a54293d8a

Observation 79a3ecd1-1370-400e-9af7-48a40975a9a0 · outbound

This paper cites Breaking the modality barrier: Universal embedding learning with multimodal llms.

ForCenNet: Foreground-Centric Network for Document Image Rectification Breaking the modality barrier: Universal embedding learning with multimodal llms

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:12.491452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:12.491452Z digest=sha256:62bfb8e21eeeb2be892b8e02de374cc29c5057ee5b02490567f228d59e10c759

Observation a056daad-4098-4aa2-8280-4837607f3682 · outbound

This paper cites Mask r-cnn.

ForCenNet: Foreground-Centric Network for Document Image Rectification Mask r-cnn

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:12.603279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:12.603279Z digest=sha256:4dba8f83ab84e281e0e55613ba3738ed158813c358409df0cf2e3dffe2dcd071

Observation 53452456-bfab-4bfc-bd4e-26ba1ae1db40 · outbound

This paper cites Template-guided illumination correction for document images with imperfect geometric reconstruction.

ForCenNet: Foreground-Centric Network for Document Image Rectification Template-guided illumination correction for document images with imperfect geometric reconstruction

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.219011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.683439Z digest=sha256:ea17751671badf01dfc04eaca6e96f6ac33b90af16debbbf622d4eac12b42012

Observation fcb11998-35ca-4cf2-a23c-6e29f831709e · outbound

This paper cites Densely connected convolutional net- works.

ForCenNet: Foreground-Centric Network for Document Image Rectification Densely connected convolutional net- works

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.212813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.823981Z digest=sha256:554561c16828284b5536bbe7642b4255c54df714758169a0eec82073475c347b

Observation 851bd6d7-5bbb-4e24-8321-7d71602107c1 · outbound

This paper cites A transformer-based architecture for high-resolution stereo matching.

ForCenNet: Foreground-Centric Network for Document Image Rectification A transformer-based architecture for high-resolution stereo matching

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.206518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:12.943662Z digest=sha256:5970b227c3e2ccf9c8323b4b550bf2c2d99ef516d053d87ec1aad03c29e1449f

Observation 4d76f7ea-b501-42d2-ac66-3e47436b13e3 · outbound

This paper cites Revisiting document image dewarp- ing by grid regularization.

ForCenNet: Foreground-Centric Network for Document Image Rectification Revisiting document image dewarp- ing by grid regularization

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.200578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.065506Z digest=sha256:a8cd16a6797e48f0947864ea33bfe72d07831d29a3007f006f3e4ca2c41acd63

Observation 0958caa5-66bf-4f8e-b8c9-8bef60a2c589 · outbound

This paper cites Bilinear interpola- tion.

ForCenNet: Foreground-Centric Network for Document Image Rectification Bilinear interpola- tion

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.194367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.187539Z digest=sha256:774dfe31b87f5e137a031bb5e945ccccb3f82f13bac0a2157eb02939fe9a72b4

Observation a908f385-1702-4739-ac27-7c85fee5eb6b · outbound

This paper cites Active contours network to straighten distorted text lines.

ForCenNet: Foreground-Centric Network for Document Image Rectification Active contours network to straighten distorted text lines

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.188492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.315600Z digest=sha256:efd77ec792f53e2a4c83c77407b1f43f29b3d6fa5f8e009e8ce7efca39b64a87

Observation 47026f99-f9e3-4367-86a0-f46312adc923 · outbound

This paper cites Binary coors capable or ‘correcting dele- tions, insertions, and reversals.

ForCenNet: Foreground-Centric Network for Document Image Rectification Binary coors capable or ‘correcting dele- tions, insertions, and reversals

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.177788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.498906Z digest=sha256:454566b27e5fc58e1a0f4b79fa0a97fe652e99891d2b06d4fa6c3463463b02d1

Observation c32f5234-eb36-4019-b798-5d9987c90b8b · outbound

This paper cites Foreground and text-lines aware document image rectifica- tion.

ForCenNet: Foreground-Centric Network for Document Image Rectification Foreground and text-lines aware document image rectifica- tion

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.171054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.636551Z digest=sha256:326e507ce5f8f3fcfaca696e3e26a8fbe8f3a35adc6fa259dd00349e2dd64a49

Observation c84febc0-fcf3-41db-8f09-ef62f72c3516 · outbound

This paper cites Layout-aware single-image document flattening.

ForCenNet: Foreground-Centric Network for Document Image Rectification Layout-aware single-image document flattening

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.165061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.749575Z digest=sha256:3e68fb67dc65c5094ad9b344bad84dd9e6203121c2d7d9157f437ab54339a920

Observation 6ab5cfcd-796e-4ee7-b965-010059513cbf · outbound

This paper cites an unresolved cited work.

ForCenNet: Foreground-Centric Network for Document Image Rectification Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:08:15.158554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.792085Z digest=sha256:c0c7d877de593c14ba47426189cf658ec36b768c274c315ceb0177278873ecda

Observation 3aeb9635-46d3-448c-9c90-93fd72659ee7 · outbound

This paper cites Microsoft coco: Common objects in context.

ForCenNet: Foreground-Centric Network for Document Image Rectification Microsoft coco: Common objects in context

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.152254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:13.922033Z digest=sha256:28f265b14f6c789f66b5214e0da9ef05d446c3ace7efb0f8b53fedce3ba0ee11

Observation 7ad656b6-e1bb-49f7-942e-0b242e922ebd · outbound

This paper cites Sift flow: Dense correspondence across scenes and its applications.

ForCenNet: Foreground-Centric Network for Document Image Rectification Sift flow: Dense correspondence across scenes and its applications

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.146151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.088899Z digest=sha256:5d7ab6f986467cb7b65e4c00f62cd893d33e3f8de809cdde2dfd18e512551942

Observation 3c409417-7540-4026-827e-42969f977bd1 · outbound

This paper cites Rethinking su- pervision in document unwarping: A self-consistent flow- free approach.

ForCenNet: Foreground-Centric Network for Document Image Rectification Rethinking su- pervision in document unwarping: A self-consistent flow- free approach

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.139465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.214677Z digest=sha256:344c8f7d7c5f29cfdd730a28855b1f236a906fb597fab269f085d4d210e0c179

Observation 9973daf7-0334-43ca-9f78-120b9c07c0ca · outbound

This paper cites Decoupled weight decay regularization.

ForCenNet: Foreground-Centric Network for Document Image Rectification Decoupled weight decay regularization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.132994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.369438Z digest=sha256:d7645ee6da46d80667d5e8143f2139bc5f5648091991569b6fe5aaca1890fac2

Observation e24e081b-e460-4849-ae8b-f3e56624e1cd · outbound

This paper cites Docunet: Document image unwarping via a stacked u- net.

ForCenNet: Foreground-Centric Network for Document Image Rectification Docunet: Document image unwarping via a stacked u- net

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.126472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.509284Z digest=sha256:01bfeff82755b79ef81bee0934d0296ac05cfdf39e4f8627ff169834e5787b2b

Observation 84976fc3-116b-4f4e-b01c-b4d0f57f502b · outbound

This paper cites Learning from documents in the wild to improve document unwarping.

ForCenNet: Foreground-Centric Network for Document Image Rectification Learning from documents in the wild to improve document unwarping

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.119743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.629700Z digest=sha256:abd2ce3633a20b952f132c75dc2b6f71fa904b509c6cf6b7fd40d32e3e3c2de4

Observation 62a27e60-8b30-455d-b866-964ac9c4f1ef · outbound

This paper cites Metric rectification of curved document images.

ForCenNet: Foreground-Centric Network for Document Image Rectification Metric rectification of curved document images

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.113077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.724036Z digest=sha256:81656b993b97a69f1f2525d1bfd5d43299c5796c7746934b542920509d10c935

Observation a432fd2c-3c13-42d8-8f4d-2381d39b1591 · outbound

This paper cites From wer and ril to mer and wil: improved evaluation mea- sures for connected speech recognition.

ForCenNet: Foreground-Centric Network for Document Image Rectification From wer and ril to mer and wil: improved evaluation mea- sures for connected speech recognition

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.106271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.743820Z digest=sha256:7d2f064ed48316789e9131cf72264555e67662a9cf7e1a4ecdc5e2ef7e671fa3

Observation 22e26014-81e0-4d92-aa26-92d1b6670978 · outbound

This paper cites Paddleocr: A practical and easy-to-use ocr tool for multilingual scenarios.

ForCenNet: Foreground-Centric Network for Document Image Rectification Paddleocr: A practical and easy-to-use ocr tool for multilingual scenarios

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.099589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.746215Z digest=sha256:5cf0992ff2c8900a8d6393f248e7d712d5b1f7e554ba17433ca0fd33b8697b45

Observation c2894ef1-a419-4776-9760-4df74aab9ef1 · outbound

This paper cites Automatic differentiation in pytorch.

ForCenNet: Foreground-Centric Network for Document Image Rectification Automatic differentiation in pytorch

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:14.748512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:14.748512Z digest=sha256:6bac924b52597219ccaea6d5b64efcb2c4d86f9bb86e3dd527d149cae85d6938

Observation a6f5a070-a83b-4991-9a30-cb16807ab483 · outbound

This paper cites B´ezier and B-spline techniques.

ForCenNet: Foreground-Centric Network for Document Image Rectification B´ezier and B-spline techniques

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.089403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.750455Z digest=sha256:731bf3dac518e0e500a7a000942c34ca71197a0927dc37ced3dbf049fcb5a19e

Observation 2364edb1-db36-4068-a062-96812cb3bbab · outbound

This paper cites U- net: Convolutional networks for biomedical image segmen- tation.

ForCenNet: Foreground-Centric Network for Document Image Rectification U- net: Convolutional networks for biomedical image segmen- tation

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.083499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.753010Z digest=sha256:66ec857e7849c1f122c904da40804ba8ec4047dd3352fd94762887f4bfb62540

Observation e4deff5d-f8d5-49dc-a5e3-a6f8a05af852 · outbound

This paper cites Smith and Nicholay Topin.

ForCenNet: Foreground-Centric Network for Document Image Rectification Smith and Nicholay Topin

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.077412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.755105Z digest=sha256:f443901af364e671068465a782ad637295542e1734cf2dccef021bbe7428d305

Observation d7cd810f-b692-4202-ad33-afc927732580 · outbound

This paper cites An overview of the tesseract ocr engine.

ForCenNet: Foreground-Centric Network for Document Image Rectification An overview of the tesseract ocr engine

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.071377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.757410Z digest=sha256:1dc0f3500da08d0c3ee11cad74b22373c22c8175f8641855dc82876d4dcb0e41

Observation d6f5455f-1a0f-4155-b281-e8a8d0e5a7ad · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow (extended abstract).

ForCenNet: Foreground-Centric Network for Document Image Rectification Raft: Recurrent all-pairs field transforms for optical flow (extended abstract)

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.065358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.759562Z digest=sha256:868d729cf3c975ee5549c442cf364a8bcb1a84d8d60c4582c1946403407c6fd6

Observation 4fbaf870-1b9e-46d5-a795-b08a4de8bef8 · outbound

This paper cites Training data-efficient image transformers & distillation through at- tention.

ForCenNet: Foreground-Centric Network for Document Image Rectification Training data-efficient image transformers & distillation through at- tention

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.058747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.761798Z digest=sha256:6e04ef401e6fdbc0767af9900ce476b7fcb44933bdfa23fe83fde6c3835af25d

Observation 11dda4d3-d8f7-43f7-b76d-73bcf2a497db · outbound

This paper cites Document image dewarping using robust estimation of curled text lines.

ForCenNet: Foreground-Centric Network for Document Image Rectification Document image dewarping using robust estimation of curled text lines

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.052177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.763851Z digest=sha256:91a3916d70dd00ea4b242e6bfb066952710674b56ac6dbd7ceca70b4cdd03bcc

Observation 521eb5c7-38dc-4bad-b126-80507a7e6d2d · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

ForCenNet: Foreground-Centric Network for Document Image Rectification Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.045765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.766466Z digest=sha256:67d842585e82b242867d21cb916ec99637ba87e876a99888f74e7c080cb9e454

Observation baa0cd49-b611-4d6f-acf0-77cd02bdb32b · outbound

This paper cites Uvdoc: Neural grid-based document unwarping.

ForCenNet: Foreground-Centric Network for Document Image Rectification Uvdoc: Neural grid-based document unwarping

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.038987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.768971Z digest=sha256:5ea25f854e6774ef03e5ed38d310cda558d7c7a81d18e89ded8a9ede836ea7e9

Observation 7cced00c-265a-40d9-bda1-863c5bdfda07 · outbound

This paper cites Lsd: A fast line seg- ment detector with a false detection control.

ForCenNet: Foreground-Centric Network for Document Image Rectification Lsd: A fast line seg- ment detector with a false detection control

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.032085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.771419Z digest=sha256:520026e17a0a16ca1eb330be333adf495abb03034eca2b177494703d3b763a40

Observation 0ae22b59-f12b-4be2-94b8-ce43ea5a7212 · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

ForCenNet: Foreground-Centric Network for Document Image Rectification Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T14:08:14.773318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:08:14.773318Z digest=sha256:605cf7b78390877e0183de249841063abb649a588cee6836a41c74ea4b209b68

Observation 0dd3d460-4dc9-4806-9cb6-ec67271342f0 · outbound

This paper cites Wang, A.C.

ForCenNet: Foreground-Centric Network for Document Image Rectification Wang, A.C

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.022236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.775236Z digest=sha256:7f8d5bfa9f8e295a2ac0c3cda69972cb26cdd25c9201b2d00c5a2d40e1887ca2

Observation 46a43d3d-62e8-4520-ad29-4760dcd9b2b0 · outbound

This paper cites Document image de- warping for text/graphics recognition.

ForCenNet: Foreground-Centric Network for Document Image Rectification Document image de- warping for text/graphics recognition

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.016300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.777413Z digest=sha256:427527033db305109d9501c6f60d760b0af6ebd3341a0480c5c4ced58f47bd88

Observation 70caf4b3-b009-4c08-b72f-f2e349706f04 · outbound

This paper cites Document dewarping with control points.

ForCenNet: Foreground-Centric Network for Document Image Rectification Document dewarping with control points

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.010380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.779980Z digest=sha256:ad8b7c4636cc06b8a1a7d8e36a0cf717494f5e09a392f465dee8043ffe08b6b2

Observation 762ea21e-02a3-4ab9-b470-b747cf7dc839 · outbound

This paper cites Fourier document restoration for robust document dewarping and recognition.

ForCenNet: Foreground-Centric Network for Document Image Rectification Fourier document restoration for robust document dewarping and recognition

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:15.003822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.781942Z digest=sha256:cd0fb43398d18ae3c77b43678d4ed449b6c783d8592badfee109b9e01b4c74c8

Observation 8b43a671-84ea-4eb2-a02b-2e0450aa0229 · outbound

This paper cites Clip-cid: Efficient clip distillation via cluster-instance discrimination.

ForCenNet: Foreground-Centric Network for Document Image Rectification Clip-cid: Efficient clip distillation via cluster-instance discrimination

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.997750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.784385Z digest=sha256:c4d3615d643065c9d403cfd4b8f6cf076e4ba1748bce896fc9660c651ee2117e

Observation 94bc6c43-a55e-42f1-9216-bdbe2ff5bba8 · outbound

This paper cites Hi-sam: Marrying segment anything model for hierarchical text segmentation.

ForCenNet: Foreground-Centric Network for Document Image Rectification Hi-sam: Marrying segment anything model for hierarchical text segmentation

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.991649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.786740Z digest=sha256:e1cf504db44754cef8b7cfb3bcb9bcbd3e61b5a971b72a7ac3d1cd8ae8d1d090

Observation c831762a-87ad-4abd-a24b-966eb185fbd8 · outbound

This paper cites Multiview rectification of folded documents.

ForCenNet: Foreground-Centric Network for Document Image Rectification Multiview rectification of folded documents

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.985499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.788666Z digest=sha256:a8219287dd84b17cfdb16300424dd95e27bde2e7e0cf4a4b33ffaec0cab7a922

Observation b39d0836-c609-408b-992c-11670c949dbb · outbound

This paper cites Docreal: Robust document dewarping of real-life images via attention-enhanced control point prediction.

ForCenNet: Foreground-Centric Network for Document Image Rectification Docreal: Robust document dewarping of real-life images via attention-enhanced control point prediction

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.979553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.790572Z digest=sha256:acf0960d0f3a249a8342b693d05a6beca6ffa78d236113b8327af284a5a6dea8

Observation 975988bc-a7ab-4ea5-aafb-be3e85eff7cc · outbound

This paper cites Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild.

ForCenNet: Foreground-Centric Network for Document Image Rectification Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-06T14:08:14.831462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.792616Z digest=sha256:ae40ff7ec62a5e21fd769964536744a0d38ab30a99b92cd075387313780c3ca0

Observation 571544cb-47fa-43d2-ba61-9ea4b94a1670 · outbound

This paper cites Docres: A generalist model toward unifying document image restoration tasks.

ForCenNet: Foreground-Centric Network for Document Image Rectification Docres: A generalist model toward unifying document image restoration tasks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.972717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.795033Z digest=sha256:c34b3e33d0f6edaa85b85fd299c6868c58a1e54e5246b3ae7d9b804b833eec9f

Observation 55b59cca-7f22-4dda-a329-067bd8124100 · outbound

This paper cites Pub- laynet: largest dataset ever for document layout analysis.

ForCenNet: Foreground-Centric Network for Document Image Rectification Pub- laynet: largest dataset ever for document layout analysis

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.965531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.796978Z digest=sha256:0011f5d9391392a78021499fd50800a9fc4277176372e1ac1749150f15694832

Observation 8feeed84-7419-45c0-8a9e-7b78427bb848 · outbound

This paper cites To investigate the impact of sam- pling density on geometric fidelity, we evaluate line sam- pling intervals of 2, 4, 8, 16, and 32 pixels on the DocUNet dataset.

ForCenNet: Foreground-Centric Network for Document Image Rectification To investigate the impact of sam- pling density on geometric fidelity, we evaluate line sam- pling intervals of 2, 4, 8, 16, and 32 pixels on the DocUNet dataset

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.958882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.798904Z digest=sha256:ed70b99948ad8ed1d5eb61403754651cb1de60792d04cd99b4bc4913b9e67349

Observation 95084777-b1a3-48c0-bbb8-fdca879bb727 · outbound

This paper cites an unresolved cited work.

ForCenNet: Foreground-Centric Network for Document Image Rectification Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-06T14:08:14.952402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.801029Z digest=sha256:3f312c4c4638b940d3e36b97c102e84cac8a78c4a696095ea915db69eb692a86

Observation 5ca2515a-29f0-43c7-bef1-142d24c07299 · outbound

This paper cites This task aims to restore a pristine appearance similar to that produced by a scanner or digital PDF file, without being limited to specific degra- dation types.

ForCenNet: Foreground-Centric Network for Document Image Rectification This task aims to restore a pristine appearance similar to that produced by a scanner or digital PDF file, without being limited to specific degra- dation types

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.945960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.803079Z digest=sha256:da53d420ab478453d419b6b217e9234e5b9d68c821dc92a30287ed1dbd985666

Observation 806dae35-671c-4302-9bd6-43aeb10a8db1 · outbound

This paper cites However, a certain bias arises due to incomplete sampling.

ForCenNet: Foreground-Centric Network for Document Image Rectification However, a certain bias arises due to incomplete sampling

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.939155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.804967Z digest=sha256:7c0e5d7a4abf78558146bb7e9cddbffa944f1d819470ad1759aa763f5e0e0915

Observation df8a5f30-b483-4919-8618-5dd66037c89c · outbound

This paper cites 11 , 12 ,13 and 14, which effectively demonstrate the superiority of our approach.

ForCenNet: Foreground-Centric Network for Document Image Rectification 11 , 12 ,13 and 14, which effectively demonstrate the superiority of our approach

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T14:08:14.931703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T14:08:14.807175Z digest=sha256:437843b1b7763995d4e88a58d9f28f70d170cbcaada976f378d50482c4c5fa67

Pith citing papers

No inbound Pith citation observations are available.