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Paper Citation Record · LEDGER

DocRevive: A Unified Pipeline for Document Text Restoration

As of 4 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2604.10077.

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

pith.paper-citation-record.v1
2604.10077 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T06:38:44.675844Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

58 of 58 outbound references displayed

  • verified exact13
  • verified fuzzy39
  • unresolved4
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3315d853-06f1-412c-81c0-3f0bae1648f2 · outbound

This paper cites Restoring and attributing ancient texts using deep neural networks.Nature, 603(7900):280–283.

DocRevive: A Unified Pipeline for Document Text Restoration Restoring and attributing ancient texts using deep neural networks.Nature, 603(7900):280–283

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.754192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:c19fe00b536ce107add74e9607ca345abe71c2a8bdf29ccbb79df3ac9a17c966

Observation 8a91bed9-b452-44ba-99c0-13707ecd72dd · outbound

This paper cites TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering.

DocRevive: A Unified Pipeline for Document Text Restoration TaleDiffusion: Multi-Character Story Generation with Dialogue Rendering

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:40:25.546168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 5fa17f8c-5610-456d-a810-674dde72bb0f · outbound

This paper cites CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models.

DocRevive: A Unified Pipeline for Document Text Restoration CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:40:25.566192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation c3190ec2-9feb-4f98-8329-7eda9679a36a · outbound

This paper cites Craftsvg: Multi-object text-to-svg synthesis via layout guided diffusion.

DocRevive: A Unified Pipeline for Document Text Restoration Craftsvg: Multi-object text-to-svg synthesis via layout guided diffusion

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.766868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:fd5e5611cbb37225bc6e1f1b8cd3167d540a891eb4b98cb52c37f951b9ab88aa

Observation b80039f3-29c0-4ce2-9fc5-144107fac8f7 · outbound

This paper cites Scene text recognition with permuted autoregressive sequence models.

DocRevive: A Unified Pipeline for Document Text Restoration Scene text recognition with permuted autoregressive sequence models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T10:00:38.584086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:d4dcd763fcf3fb7245654533fa1a03b508efdbfea84e03efd7b93acaf7afd6fa

Observation f019bd1f-aa68-49dd-90fe-a775f5e804c7 · outbound

This paper cites Mending fractured texts.

DocRevive: A Unified Pipeline for Document Text Restoration Mending fractured texts

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.751704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:00e01d2a93d263f731bd768a24880153e177a89b2d78993c4306545c0479aea6

Observation 07db02c0-e720-4b7a-a15c-4e9b04424781 · outbound

This paper cites Selecting a restoration technique to minimize ocr error.IEEE Transactions on Neural Networks, 14(3):478–490.

DocRevive: A Unified Pipeline for Document Text Restoration Selecting a restoration technique to minimize ocr error.IEEE Transactions on Neural Networks, 14(3):478–490

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.772090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:0f74aaf88cbdb40407e8c85a14b9ea1fc62413d85b8144791c62b232fd0c8cf4

Observation 3d4af1c1-3bc8-492f-9ba8-ab7157b2a814 · outbound

This paper cites Linknet: Ex- ploiting encoder representations for efficient semantic seg- mentation.

DocRevive: A Unified Pipeline for Document Text Restoration Linknet: Ex- ploiting encoder representations for efficient semantic seg- mentation

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.761265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:6be9af6b36c0ea24bacc86fc160cd09802c550798fc198609529a6850615461d

Observation 2e85ce2f-0ea9-4450-9f3a-f2a5f7a9f078 · outbound

This paper cites Textdiffuser: Diffusion models as text painters.

DocRevive: A Unified Pipeline for Document Text Restoration Textdiffuser: Diffusion models as text painters

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.763759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:e1a4557292582ca7fc4206b0f547855448d690ae8764a93c231ded1ec66ef61e

Observation 9d623984-24dd-4e39-b1d6-a0e5a9c33e51 · outbound

This paper cites Simple baselines for image restoration.

DocRevive: A Unified Pipeline for Document Text Restoration Simple baselines for image restoration

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.746425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:4b046f0ef36955418c2a02761117ac7e4072dcca8ddf9ef3230665415b74ee7e

Observation cb3255f8-19c1-462f-82d9-974730376365 · outbound

This paper cites FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation.

DocRevive: A Unified Pipeline for Document Text Restoration FAST: Faster Arbitrarily-Shaped Text Detector with Minimalist Kernel Representation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.561664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 885ce218-68c7-4ed7-ab13-1fb7b2c101f1 · outbound

This paper cites PP-OCR: A Practical Ultra Lightweight OCR System.

DocRevive: A Unified Pipeline for Document Text Restoration PP-OCR: A Practical Ultra Lightweight OCR System

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.556857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:8d987168f1e5495c8d06bcab43a2f87beac15aa05ec624f250b2abf1f1cdee7c

Observation ad5aaa38-0e83-4c22-a940-c242f0ad6da8 · outbound

This paper cites Context per- ception parallel decoder for scene text recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence.

DocRevive: A Unified Pipeline for Document Text Restoration Context per- ception parallel decoder for scene text recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.808185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:3c3a375e12c76744f60e590a9ddd553970db46d01133590d8ac5dd528dbf8fae

Observation 5658e30c-2242-40d8-8e5d-89fa912c436f · outbound

This paper cites Restoration of fragmentary babylonian texts us- ing recurrent neural networks.Proceedings of the National Academy of Sciences (PNAS), 117(37):22743–22751.

DocRevive: A Unified Pipeline for Document Text Restoration Restoration of fragmentary babylonian texts us- ing recurrent neural networks.Proceedings of the National Academy of Sciences (PNAS), 117(37):22743–22751

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.805425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:81b023d730eda0ef319a3d49108e6cdc2eb9bb038fa22e86b4b601665ecb1201

Observation bbf88380-59a3-4a9d-9f97-475131dd8f3b · outbound

This paper cites Unsupervised post- ocr correction for noisy text in engineering documents.

DocRevive: A Unified Pipeline for Document Text Restoration Unsupervised post- ocr correction for noisy text in engineering documents

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.645635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:ec4653a9e47ff78233f385eb2bb40c6e2b0cb5be36157c90030acb4d17954ac1

Observation d99fba10-b1b0-4ef4-b5e5-bd244b71563d · outbound

This paper cites Advancing Post-OCR Correction: A Comparative Study of Synthetic Data.

DocRevive: A Unified Pipeline for Document Text Restoration Advancing Post-OCR Correction: A Comparative Study of Synthetic Data

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.571208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:551ad7c136690e98464ac61561b1658c586bdff32d57f590b4240fb12561822e

Observation a6d74cdf-70b2-4606-a117-e005fa33c2e7 · outbound

This paper cites Self-supervised im- plicit glyph attention for text recognition.

DocRevive: A Unified Pipeline for Document Text Restoration Self-supervised im- plicit glyph attention for text recognition

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.787391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:b31e4d51881e504f36455e8470f001f3dba1c5e4c5378379cf94e6e23dbdcd1e

Observation 6a5ce26b-2e05-4fb9-ad1e-1b929b432d84 · outbound

This paper cites YOLOv11: An Overview of the Key Architectural Enhancements.

DocRevive: A Unified Pipeline for Document Text Restoration YOLOv11: An Overview of the Key Architectural Enhancements

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:40:25.550922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:474157a18761b363521f93197da4412fb9c3db5032b73f50b047cdaefc38ac47

Observation 43a84278-15ba-42b2-a9e3-52af4e04e9b0 · outbound

This paper cites Docbank: A benchmark dataset for document layout analysis.

DocRevive: A Unified Pipeline for Document Text Restoration Docbank: A benchmark dataset for document layout analysis

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.835330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:91fe359860162e1d9f720d081f88f042e7797e04f250d9fab60e9ef3650a692a

Observation b659411f-7ee1-4596-8846-808e153223c0 · outbound

This paper cites TrOCR: Transformer-based optical character recogni- tion with pre-trained models.

DocRevive: A Unified Pipeline for Document Text Restoration TrOCR: Transformer-based optical character recogni- tion with pre-trained models

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.774538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:ba1da7b2ab0634a07e7f11bd12243439d50dfe0f63b6baf8d55ce3c58ce8895e

Observation bfe43ffa-54e3-46d3-be24-7a007b81c9a0 · outbound

This paper cites Real-time scene text detection with differentiable bina- rization.

DocRevive: A Unified Pipeline for Document Text Restoration Real-time scene text detection with differentiable bina- rization

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.769534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:3dd51c32c8d35653c0ae4c56a204d05e33f039584ca739fd440083777525b4f6

Observation 87a6901c-958d-4c12-abb4-f48f90517816 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

DocRevive: A Unified Pipeline for Document Text Restoration RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:40:25.541640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:bed093ff3c75af8f9b18be36608c5b7c7ee584ae19382d26693d90246513ae06

Observation d326d483-1f19-4d72-9ec5-c7101d9b33b0 · outbound

This paper cites A new context-based method for restoring occluded text in natural scene images.

DocRevive: A Unified Pipeline for Document Text Restoration A new context-based method for restoring occluded text in natural scene images

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.784675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:06b9865649ea5b40287b18f63dbd13e0bf2c0372607d35cbe09b66edf234ffc0

Observation 754f65a6-59f2-4c11-a2e1-b70bf0e884e1 · outbound

This paper cites an unresolved cited work.

DocRevive: A Unified Pipeline for Document Text Restoration Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-05-25T09:56:52.779935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:926c590029ea245f3bc57e66529287270143353840be1e84b8991a1839f8900a

Observation 99c5e0ca-86a6-4ba2-8c60-6561a163cbaf · outbound

This paper cites Robust ocr of degraded documents.

DocRevive: A Unified Pipeline for Document Text Restoration Robust ocr of degraded documents

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.789675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:079b4fcb10d099e0a07b373daed6bcd2f7c660bb433cd10be1f7d705c23e8b18

Observation c5f74fcd-17e8-47d9-88d1-8f2392f5ba2d · outbound

This paper cites an unresolved cited work.

DocRevive: A Unified Pipeline for Document Text Restoration Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-05-25T10:00:38.596276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:776aefdd15ef1e60fea0d839ca9285fe94d6ac60c0bb6ed5e6ce1ef947bb92c1

Observation 86bee57b-b18c-441e-9679-691374e3ba1a · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation.

DocRevive: A Unified Pipeline for Document Text Restoration Bleu: a method for automatic evaluation of machine translation

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.757632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:eb2901aeb0e9e3ce1ed8eaeb7439f960b48f2fb5b5610926fc38cc89647f65a8

Observation 15bf5441-bc62-4b2f-8df6-eee0ef7fe3ac · outbound

This paper cites Layereddoc: Domain adaptive document restoration with a layer separa- tion approach.

DocRevive: A Unified Pipeline for Document Text Restoration Layereddoc: Domain adaptive document restoration with a layer separa- tion approach

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.777561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:7149c1e71d1f116fe4d5667c3fc33250436dcbbe457660050ce8497276948e52

Observation ee64fec8-c1b6-4eaf-a57d-296be535e15c · outbound

This paper cites Datr: Domain agnostic text recognizer.

DocRevive: A Unified Pipeline for Document Text Restoration Datr: Domain agnostic text recognizer

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.792335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:fbc5be3a06f7a4f44630a38986cfc006f9a60dd2032fc7e27aaadab93b650986

Observation d75cccda-2362-47f7-b525-1e9031ebda8d · outbound

This paper cites Yolo26: Key architectural enhancements and performance bench- marking for real-time object detection.

DocRevive: A Unified Pipeline for Document Text Restoration Yolo26: Key architectural enhancements and performance bench- marking for real-time object detection

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.532106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:5cd9420862eafe6b2d7d04e041c39254bf82ad36a65bfba9c769df0e5b28ae23

Observation 3849a679-330b-4517-8789-c7e73e68031f · outbound

This paper cites an unresolved cited work.

DocRevive: A Unified Pipeline for Document Text Restoration Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-05-25T09:56:52.782197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:f32aa2c41a69078a30742c18b689d61050261011dfedff1a30244388d97ce3ef

Observation 61573e81-7189-4f4a-b6a8-8bab3e698a8f · outbound

This paper cites Type-R: Automatically Retouching Typos for Text-to-Image Generation.

DocRevive: A Unified Pipeline for Document Text Restoration Type-R: Automatically Retouching Typos for Text-to-Image Generation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.527387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:ca8ff18478cdf43860400d1338b1398357f9c1d22700818f68bee9a5539226ed

Observation 14cea2d5-d180-40b4-b8fa-77bacd30188d · outbound

This paper cites De-GAN: a conditional generative adversar- ial network for document enhancement.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3):1180– 1191.

DocRevive: A Unified Pipeline for Document Text Restoration De-GAN: a conditional generative adversar- ial network for document enhancement.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3):1180– 1191

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T10:00:38.592271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:32cf81aac521b1097bf55de2cbb3c2d4eb20c7b1ee7a98ed6e5dedb7b2c45c2d

Observation 76735de4-e093-4546-a279-dbfa0f2464fe · outbound

This paper cites Docentr: An end-to-end document image enhancement transformer.

DocRevive: A Unified Pipeline for Document Text Restoration Docentr: An end-to-end document image enhancement transformer

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.829842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:fdc4fe1e112b65db0ae038d942036f04fa4d6e9a72dd85d78ea5c6942c16fa89

Observation 67768d66-a488-4824-8a97-7c6afa975e61 · outbound

This paper cites Text- DIAE: A self-supervised degradation invariant autoencoder for text recognition and document enhancement.

DocRevive: A Unified Pipeline for Document Text Restoration Text- DIAE: A self-supervised degradation invariant autoencoder for text recognition and document enhancement

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.832388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:b6dd8cd6ed7ed48f1eeab0f7e01618989895a222e4aa28304a6cf9b757a30254

Observation 6ade61f6-8d0a-45a3-93ef-52d04f8fab33 · outbound

This paper cites an unresolved cited work.

DocRevive: A Unified Pipeline for Document Text Restoration Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-05-25T09:56:52.837828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:9fafe577dedd82d300b11074bf231d0bece37bbcea4113674a9cf56c1d392050

Observation 219d1b22-491b-44ef-8214-64593aaf7e07 · outbound

This paper cites Unifying vision, text, and layout for universal doc- ument processing.

DocRevive: A Unified Pipeline for Document Text Restoration Unifying vision, text, and layout for universal doc- ument processing

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.614328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:a6cae1e0f916c608e4c3128160c4f453e7e32d6dacd5a4661b6fe802b37942d6

Observation 6884496b-b876-4187-84a0-9886fe98b6b6 · outbound

This paper cites Qwen3 Technical Report.

DocRevive: A Unified Pipeline for Document Text Restoration Qwen3 Technical Report

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-05-25T06:40:25.536503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:b939a448211ab035d1ddc815e5f00841e64fa3e1f4ce52cdd787136532f7ccce

Observation 40c4d8be-e5ac-447b-942d-051652a0e6d3 · outbound

This paper cites Leverag- ing LLMs for post-ocr correction of historical newspapers.

DocRevive: A Unified Pipeline for Document Text Restoration Leverag- ing LLMs for post-ocr correction of historical newspapers

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.749519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:9fb5f87a023e3f59587f8b2ae88a06d7caa660f721819f3428c4c977ed6ac8b4

Observation 90aa7206-a5be-4982-bb94-ca7f8a65ea11 · outbound

This paper cites YOLOv10: Real-Time End-to-End Object Detection.

DocRevive: A Unified Pipeline for Document Text Restoration YOLOv10: Real-Time End-to-End Object Detection

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.522863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:6187a4c80bc2839a0096b46c21b47902c8c784c88bde8d11a84ec0ee2e200cfc

Observation 839d0da0-ba66-471c-8501-930a38e71faf · outbound

This paper cites YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information.

DocRevive: A Unified Pipeline for Document Text Restoration YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.510844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:26150affe6111678dd6a3e888988be976f360820929d695ef8298b05b5dbc111

Observation b55696a7-77de-481e-bf86-a3064ebd0025 · outbound

This paper cites Symmetrical linguis- tic feature distillation with clip for scene text recognition.

DocRevive: A Unified Pipeline for Document Text Restoration Symmetrical linguis- tic feature distillation with clip for scene text recognition

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.794923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:3ef4ded60fdb74c616f23777420f7890c631d5867f249a44995e82dbbc12ca3b

Observation 21d1ac92-0449-43fb-8f09-affb5735b1bd · outbound

This paper cites Ote: exploring accurate scene text recognition us- ing one token.

DocRevive: A Unified Pipeline for Document Text Restoration Ote: exploring accurate scene text recognition us- ing one token

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.824442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:dafe675e5887d5f222d788eb3fbea3488271aca3bed3cefb0f4133ac3144c011

Observation 2598e281-5529-4d51-bf6a-6f91c6cda7da · outbound

This paper cites DocDiff: Document enhancement via residual diffu- sion models.

DocRevive: A Unified Pipeline for Document Text Restoration DocDiff: Document enhancement via residual diffu- sion models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.800080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:666bda0f161987baed323da459b567d1b103135538f6881efbae25d3444d97e9

Observation 3a4937ef-5cb0-42d2-8516-2dd9515e2815 · outbound

This paper cites Docdiff: Document enhancement via residual diffu- sion models.

DocRevive: A Unified Pipeline for Document Text Restoration Docdiff: Document enhancement via residual diffu- sion models

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.822112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:d27d53a790f2ef01755a9db5f35641c43d3316c2affd4b2ac4cf0eaf95fa0593

Observation 84d2b867-b64c-4e61-b7c5-9a47ba0f8404 · outbound

This paper cites What is yolov8: an in-depth exploration of the internal features of the next-generation object detector (2024).Accessed: Sep, 10.

DocRevive: A Unified Pipeline for Document Text Restoration What is yolov8: an in-depth exploration of the internal features of the next-generation object detector (2024).Accessed: Sep, 10

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.641745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:e23661a93f22622299aec038a12b1ed252764b18e06aab2878f1959d450df249

Observation 27f6c7f0-db47-4a52-ba51-740cccb563f1 · outbound

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

DocRevive: A Unified Pipeline for Document Text Restoration DocReal: Robust document dewarping of real-life images via attention-enhanced control point prediction

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.802783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:6d110c43286aa57a82ff2acf011f4e6c1dc250a743b9cfb6a9f7ead32e8778e2

Observation 2eed6831-9399-4961-ba8f-214ab7df74c6 · outbound

This paper cites A normalized levenshtein distance metric.IEEE transactions on pattern analysis and machine intelligence, 29(6):1091–1095.

DocRevive: A Unified Pipeline for Document Text Restoration A normalized levenshtein distance metric.IEEE transactions on pattern analysis and machine intelligence, 29(6):1091–1095

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.797389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:dcd9a42f4572f0515e1128dfe42ad6be3f67ada233c41535e624101d795d7112

Observation 96bbb34d-6310-422c-b751-37f8807cc17b · outbound

This paper cites Textctrl: Diffusion-based scene text editing with prior guidance control.Advances in Neural Information Pro- cessing Systems, 37:138569–138594.

DocRevive: A Unified Pipeline for Document Text Restoration Textctrl: Diffusion-based scene text editing with prior guidance control.Advances in Neural Information Pro- cessing Systems, 37:138569–138594

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.827239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:6e09f09701c953205441713827d7226d40b4396a8ef49b5fd52ef4637950f8d6

Observation 485026bc-cf29-4a95-8334-6ecffa3999cc · outbound

This paper cites Linguistic more: Taking a further step toward efficient and accurate scene text recognition.

DocRevive: A Unified Pipeline for Document Text Restoration Linguistic more: Taking a further step toward efficient and accurate scene text recognition

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T10:00:38.588210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:90faf07d12502b68b94b18e80f4d982f9429e2d38c3c2e67ccc269e060eacc30

Observation 7db25123-a78b-4ac4-bfc4-3fbf52495a7f · outbound

This paper cites Choose what you need: Disentangled representation learning for scene text recognition removal and editing.

DocRevive: A Unified Pipeline for Document Text Restoration Choose what you need: Disentangled representation learning for scene text recognition removal and editing

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.811050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:820579791f9de610c170682516e6aa75ca5b95236f118a0869278b197073a7e6

Observation 9997cf1a-4e7d-4fe8-8e20-9bf689f04573 · outbound

This paper cites DocRes: A generalist model toward uni- fying document image restoration tasks.

DocRevive: A Unified Pipeline for Document Text Restoration DocRes: A generalist model toward uni- fying document image restoration tasks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.816629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:d0439e61121dd24d6989db2fdff31a55671093b850043f55fe1bd9fd9871b7c3

Observation 156011d7-cf72-492a-9329-63eeedbb2641 · outbound

This paper cites Document image shadow removal guided by color-aware background.

DocRevive: A Unified Pipeline for Document Text Restoration Document image shadow removal guided by color-aware background

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.819177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:95c211005222e1fc38a0f01a5a2f08547252a39b1e29af41d5742323c5f56dcf

Observation f044d30e-612c-4f5c-822a-ffae71eb5f19 · outbound

This paper cites A review of document image en- hancement based on document degradation problem.Ap- plied Sciences, 13(13):7855.

DocRevive: A Unified Pipeline for Document Text Restoration A review of document image en- hancement based on document degradation problem.Ap- plied Sciences, 13(13):7855

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.813708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:181bd7e8acb4dba21b2a51cbe4a27c3c311c40f23461029fecba33d30642a7f7

Observation 4593c2b7-e5de-4b52-a421-4dc302bf334d · outbound

This paper cites Text image inpainting via global structure-guided diffusion models.

DocRevive: A Unified Pipeline for Document Text Restoration Text image inpainting via global structure-guided diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-25T09:56:52.564031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:c9cddf06a13d32cfb9c9bedb77ddeddf2a2539736d81859e857d659000ecee60

Observation 8d224dba-93d1-4782-b9d5-19b87eb7c077 · outbound

This paper cites In the current generator, we chooseNunique source pages per class-level.

DocRevive: A Unified Pipeline for Document Text Restoration In the current generator, we chooseNunique source pages per class-level

Reference 56

Resolution
malformed identifier
raw_fallback, observed 2026-05-25T09:56:52.661506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:935e42260b51cd9874d3c70331fe9d0fd066c21b48e2c53a06161fa44f0ae599

Observation 3b1d3e3c-899e-4430-b710-0c33a62a57e2 · outbound

This paper cites We evaluate the on three benchmark datasets.

DocRevive: A Unified Pipeline for Document Text Restoration We evaluate the on three benchmark datasets

Reference 57

Resolution
malformed identifier
raw_fallback, observed 2026-05-25T10:00:38.579302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:450dccc770d18d14309372939763d29aa2c3622922b567b7c5ad973593de131e

Observation a02ad01d-e0eb-4759-9238-d7fb26d68994 · outbound

This paper cites We evaluate the on three benchmark datasets.

DocRevive: A Unified Pipeline for Document Text Restoration We evaluate the on three benchmark datasets

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:40:25.516012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-25T06:38:44.675844Z digest=sha256:858e351c4c0e1cf87bd4150580a824391baba4c7bbebf9214c428c0267ddc74c

Pith citing papers

No inbound Pith citation observations are available.