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Paper Citation Record · LEDGER

DREAM: Document Reconstruction via End-to-end Autoregressive Model

As of 9 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2507.05805.

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

pith.paper-citation-record.v1
2507.05805 v1

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:21:45.433810Z

measured 60 of 60 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

60 of 60 outbound references displayed

  • verified exact1
  • verified fuzzy44
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 948b190c-efde-4fe5-917b-8aba8975e703 · outbound

This paper cites Combining visual and textual features for semantic segmentation of historical newspapers.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Combining visual and textual features for semantic segmentation of historical newspapers

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.385820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.158071Z digest=sha256:c88a2cef3784776c083b553914633c50db42a7b60b3f78be50623c2763240fca

Observation 89ac4112-0f79-442d-896d-93cb45d76f9a · outbound

This paper cites Nougat: Neural Optical Understanding for Academic Documents.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Nougat: Neural Optical Understanding for Academic Documents

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.163193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.163193Z digest=sha256:57fcbf3705f5033ee0bec65f25039457747ce679a68f4bf68431694b23cfc28b

Observation e0b7a83e-0167-404f-af00-c70967787c96 · outbound

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

DREAM: Document Reconstruction via End-to-end Autoregressive Model End-to- end object detection with transformers

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.369215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.167713Z digest=sha256:3409c4ff91f25990f6461ff29709b3472ff2383bac885e7518206c7d0c1d7217

Observation 90ffb8e8-8a3c-4c74-b41d-dae52c3d625f · outbound

This paper cites Geometric layout analysis techniques for document image understanding: a review.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Geometric layout analysis techniques for document image understanding: a review

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.354795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.172447Z digest=sha256:a241e17b717a33565f844f19d43b6d5c75df274c4534b8700a3494cd258b060a

Observation 17cbca11-2ae1-43b7-96dc-a2d7393bb4fb · outbound

This paper cites M6doc: A large-scale multi-format, multi-type, multi- layout, multi-language, multi-annotation category dataset for modern document layout analysis.

DREAM: Document Reconstruction via End-to-end Autoregressive Model M6doc: A large-scale multi-format, multi-type, multi- layout, multi-language, multi-annotation category dataset for modern document layout analysis

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.339732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.176529Z digest=sha256:30401b0f0f3f581c8e29501abb848aed9d137dabc8931d3c406642dda6685618

Observation 8532636a-818a-4d78-824a-83f8a3fdff7b · outbound

This paper cites Complicated Table Structure Recognition.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Complicated Table Structure Recognition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.180847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.180847Z digest=sha256:584e089486888b1cd7ee90f799cbccaee2c16617a58b4a781ad175a6334c6d92

Observation 628a2aa3-bc84-44f6-91ca-f0f79ea295ab · outbound

This paper cites Vision grid transformer for document layout analysis.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Vision grid transformer for document layout analysis

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.322172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.185526Z digest=sha256:778353d6f50c26a64eb39e7db9795be2890a37137cd7494b53eec9b982c663be

Observation 04fe99a1-ee56-4185-a223-76b243e10f28 · outbound

This paper cites Image-to-markup generation with coarse-to- fine attention.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Image-to-markup generation with coarse-to- fine attention

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.304682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.190217Z digest=sha256:66972a37d6f74200b244a75b1049c1d8af32ca403131aa732b030b16c7075fd9

Observation 2179ac71-6c26-4a9f-9fe6-51ec98aa41af · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

DREAM: Document Reconstruction via End-to-end Autoregressive Model BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.194076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.194076Z digest=sha256:ef4c124da479a712b31bf78b43e0d45f8c65b8482aca7d497b028fd14f00234c

Observation 37b94c75-fb2a-4d87-a428-78a78f1f1458 · outbound

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

DREAM: Document Reconstruction via End-to-end Autoregressive Model PP-OCR: A Practical Ultra Lightweight OCR System

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.198838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.198838Z digest=sha256:4d061977eef7cbec36711c2b571c3d8e97acc1fa0a88fe428a59c88125ceb805

Observation d4ed33a4-f251-4927-860b-22ed8db00373 · outbound

This paper cites UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding.

DREAM: Document Reconstruction via End-to-end Autoregressive Model UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.203139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.203139Z digest=sha256:cb58da5d15739d3b1235af6c96867d9f94bb1abd46303da901a3ba2710891dac

Observation 4c6f9bfb-a128-4b72-90b3-cd29544d28b6 · outbound

This paper cites Icdar 2013 table competition.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Icdar 2013 table competition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.289101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.208059Z digest=sha256:8b27228f156c1190e2f4f4d0bc43da99c8a656f14a48098648719ac9fc8894da

Observation fd3ef7da-a236-4e79-958b-192b9ab1e574 · outbound

This paper cites Re- cursive xy cut using bounding boxes of connected compo- nents.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Re- cursive xy cut using bounding boxes of connected compo- nents

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.272584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.212790Z digest=sha256:481c25cf52f693fed0a6e803b3eb186efc7a792eb379f5e1e7b671a9d297b909

Observation 2c64b31b-bdce-4e0f-9279-9673e6c6cdd7 · outbound

This paper cites Mask r-cnn.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Mask r-cnn

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.255281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.218386Z digest=sha256:f9255c63a51959c4f48847a6a5ac424a2f7161fecad8eddd653eec91d8b3203a

Observation dd64e4d4-3f8f-4f67-bb69-952210127488 · outbound

This paper cites Swintextspotter: Scene text spotting via bet- ter synergy between text detection and text recognition.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Swintextspotter: Scene text spotting via bet- ter synergy between text detection and text recognition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.239712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.223564Z digest=sha256:1f9b354a3794ae0f35091d4dae98a8c94e601bf7ac41452f98b0d6ccf7971b3c

Observation 3a77adf8-258e-4afe-bdbd-0aecd712a56b · outbound

This paper cites Layoutlmv3: Pre-training for document ai with unified text and image masking.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Layoutlmv3: Pre-training for document ai with unified text and image masking

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.228087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.228087Z digest=sha256:e556dfb7ce9f7c1316e5ad1f07bcc076e641303dac5cd80f3f7822019c576178

Observation a11b6919-5d65-4296-927c-f7cc0836588e · outbound

This paper cites Improving table structure recognition with visual-alignment sequential coordinate modeling.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Improving table structure recognition with visual-alignment sequential coordinate modeling

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.214335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.232778Z digest=sha256:e278f2306162d8f887c4e176a5dcdba07c0544fb33792df2bdc9abdf90051226

Observation 9b2445af-2dc2-49d8-bc38-318f8e9b38cb · outbound

This paper cites Icdar2019 compe- tition on scanned receipt ocr and information extraction.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Icdar2019 compe- tition on scanned receipt ocr and information extraction

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.199871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.237325Z digest=sha256:ebc73fc21316b104c48972509123ef86fe4fcb0608d0d7d1cf9a0f9267cbaa3b

Observation f01ac413-86a3-4a03-818f-08d165f1c4e5 · outbound

This paper cites Document transformation system from pa- pers to xml data based on pivot xml document method.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Document transformation system from pa- pers to xml data based on pivot xml document method

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.185045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.242205Z digest=sha256:2536862bc7a250d49c239521e100f74c74bc5b32a7bc2a2e8974010725001c34

Observation 00225f3e-7d96-4dad-a01a-5aba247a3993 · outbound

This paper cites Data clustering: a review.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Data clustering: a review

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.170181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.247034Z digest=sha256:26fc7dfdd363e54680c7f5100da2f67e2db085ca4cdfbd5ea0dffafd64a91040

Observation bbbb6fa5-bd0a-4b72-a621-472098f185ee · outbound

This paper cites Funsd: A dataset for form understanding in noisy 14 scanned documents.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Funsd: A dataset for form understanding in noisy 14 scanned documents

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.154985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.252219Z digest=sha256:522ea29a8102a844fc8aaf1212dad8b7a5071bc10b9b5292e05c9081f6d72f56

Observation f1e92513-f83b-46f7-b139-c30e1a75b96e · outbound

This paper cites ultralytics/yolov5: v6.

DREAM: Document Reconstruction via End-to-end Autoregressive Model ultralytics/yolov5: v6

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.141098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.256923Z digest=sha256:2abfa950974145e0e2720f5ab6e607f6445a7919023f9386eba32de73e483b6c

Observation 6ffa6289-39a2-404c-8ac2-a7a6510e7c33 · outbound

This paper cites Ocr-free document understanding transformer.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Ocr-free document understanding transformer

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.127407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.261333Z digest=sha256:ccebebb833550ce9d809fdefb0414bc3da73011079e42aabd77449663ae3f32e

Observation 6c24b300-fbbe-47fa-93d9-86fcd5c7dad2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Adam: A Method for Stochastic Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.266080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.266080Z digest=sha256:bf12eabbf444fd0d56c1a9c0c5b5d623e255f14670d4c734a0fb2cd41795cfda

Observation 7c3eded2-5ec9-4e76-bb21-1f285b9579b2 · outbound

This paper cites Pix2struct: Screenshot parsing as pretraining for visual lan- guage understanding.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Pix2struct: Screenshot parsing as pretraining for visual lan- guage understanding

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.112836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.270962Z digest=sha256:10f566b190c1576c71c21d7717fc27f8c5c116a48788d9fb4ea59a671f20901a

Observation 179b7bfc-070c-4402-81fc-9576e12fa9e1 · outbound

This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.

DREAM: Document Reconstruction via End-to-end Autoregressive Model BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.275641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.275641Z digest=sha256:192dcb5eda7a66cd598a76cbb63bd41b07223fac0af6e8ece38adb7603173376

Observation 3c2edb88-8883-494d-9a00-41a4317650bd · outbound

This paper cites When counting meets hmer: counting-aware network for handwritten math- ematical expression recognition.

DREAM: Document Reconstruction via End-to-end Autoregressive Model When counting meets hmer: counting-aware network for handwritten math- ematical expression recognition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.098472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.280408Z digest=sha256:22c8b4adcf54af542b33491667a41b26d651b11f6fe24d7ba45995216cef6de7

Observation 46109a49-ec28-4bce-b70a-13b968bdac39 · outbound

This paper cites PP-StructureV2: A Stronger Document Analysis System.

DREAM: Document Reconstruction via End-to-end Autoregressive Model PP-StructureV2: A Stronger Document Analysis System

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.285089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.285089Z digest=sha256:9d1101dafa7f89a561cc9d121e4a3886ca7eb5db3201e2fcd8972a6fa5ca4b98

Observation 41d4bbd8-17b6-48b7-b88d-d71c66551388 · outbound

This paper cites Tablebank: Table benchmark for image-based table detection and recognition.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Tablebank: Table benchmark for image-based table detection and recognition

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.083907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.290580Z digest=sha256:517d5f095f419468a893ec649277f10a50c83e14b287e9b5a06f3d6739084965

Observation 7b05f804-ab5f-45c0-b759-83846a464d23 · outbound

This paper cites DocBank: A Benchmark Dataset for Document Layout Analysis.

DREAM: Document Reconstruction via End-to-end Autoregressive Model DocBank: A Benchmark Dataset for Document Layout Analysis

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.295175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.295175Z digest=sha256:4d0ea07157a31b55c84c2fc90974b4a962e508ba2f9563c2a6dbef4185acc4c1

Observation f86d9d90-f643-4002-b3ff-4b2209e0d562 · outbound

This paper cites Relational represen- tation learning in visually-rich documents.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Relational represen- tation learning in visually-rich documents

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.069488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.300239Z digest=sha256:5a0c1577944b8db37a5c225b433430a88076dcdbdfd5d1054e66d3c3f265c50c

Observation 020f6bcb-59ce-4d80-baa6-887115317d4a · outbound

This paper cites Tsrformer: Table structure recognition with transformers.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Tsrformer: Table structure recognition with transformers

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.054108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.304719Z digest=sha256:4f58395ee1e144dd0c1739b72bddde754540a53f52fe239bd57366733da8fee5

Observation c5896211-734c-4aad-9826-c1a3a9da0d0d · outbound

This paper cites Show, read and reason: Table struc- ture recognition with flexible context aggregator.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Show, read and reason: Table struc- ture recognition with flexible context aggregator

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.040125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.309328Z digest=sha256:e3f48a60ce27b812ce63f56cf600669db3fa7cee08efc110eeafda8a35218c16

Observation 36dbdeb3-4976-4fe0-a13b-051a56684fd2 · outbound

This paper cites Neural collaborative graph machines for table structure recognition.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Neural collaborative graph machines for table structure recognition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.025441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.313757Z digest=sha256:8e9b52f817d0339405c249593cf1cdf4e85e0fce8f1078551b2af5f6176dd25d

Observation 461f8255-12bb-4007-9b08-cf5868ed877e · outbound

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

DREAM: Document Reconstruction via End-to-end Autoregressive Model RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.318202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.318202Z digest=sha256:984f0326550a6aa2ef720e452c412dabae25deea973b29374e6840a00ee7929c

Observation be100a4a-f9b6-415f-8e90-27198021228b · outbound

This paper cites Abcnet: Real-time scene text spot- ting with adaptive bezier-curve network.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Abcnet: Real-time scene text spot- ting with adaptive bezier-curve network

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:46.009480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.323262Z digest=sha256:4c427d54a51cfb97596b622125406ffa82d6afd455774d6619261ad952bfe533

Observation 470b5c36-f610-4f63-91d5-97f4d0d43e94 · outbound

This paper cites Spts v2: single-point scene text spotting.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Spts v2: single-point scene text spotting

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.992950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.327632Z digest=sha256:7a9d2faf73d418fcea5596f3514c591913465e047d8718bc40bada234e5c61b8

Observation 8a02eb8b-fe06-4c98-b82b-f643f20ee833 · outbound

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

DREAM: Document Reconstruction via End-to-end Autoregressive Model Swin transformer: Hierarchical vision transformer using shifted windows

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.978434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.332097Z digest=sha256:4172e0f0a50aa06d75c882ac743ca84e9a28d4fb85db40149c3216bc1b7f8521

Observation 195cbc1e-4303-4036-aab0-dde0d903b056 · outbound

This paper cites KOSMOS-2.5: A Multimodal Literate Model.

DREAM: Document Reconstruction via End-to-end Autoregressive Model KOSMOS-2.5: A Multimodal Literate Model

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.336576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.336576Z digest=sha256:47fb38f3ebb4ff69456e6c8c8e34b68f30dd55eec0a6edc76dde116a4d1b0084

Observation a00cc7dc-b831-4dd2-86f4-25e3fbfa3485 · outbound

This paper cites Mask textspotter: An end-to-end trainable neural network for spotting text with arbitrary shapes.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Mask textspotter: An end-to-end trainable neural network for spotting text with arbitrary shapes

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.963331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.341450Z digest=sha256:25f692a87c6f49d8c9b33c96835a44321e6e0df285c8fccb371502d596f9c5dd

Observation 881b0c1f-414e-49b7-993b-0a83ff09b7a4 · outbound

This paper cites Optimized xy-cut for determining a page read- ing order.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Optimized xy-cut for determining a page read- ing order

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.947838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.345904Z digest=sha256:15bb7deffbe7ebf4f07e7acbfd0b4e0c2cd2d4d302403fb9dfa5dafa51ef5e7c

Observation 0e9e0e64-d6fc-4aa1-8693-52b99fe4a0c9 · outbound

This paper cites Icfhr 2014 competition on recognition of on-line handwritten mathematical expressions (crohme 2014).

DREAM: Document Reconstruction via End-to-end Autoregressive Model Icfhr 2014 competition on recognition of on-line handwritten mathematical expressions (crohme 2014)

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.933356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.350522Z digest=sha256:d38211ebf3734c401e750c4a1513b2efb67af54c8c74f91486490ee1ec55e7f6

Observation 94552ee5-d3f0-4630-bada-960b13da4fa2 · outbound

This paper cites Tableformer: Table structure understanding with transformers.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Tableformer: Table structure understanding with transformers

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.918412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.355000Z digest=sha256:0381237b14789b577f782ba31645a7f18fc2a5749454551f32dac0d32f38f45c

Observation 88a44d67-2b9b-4d34-96ec-c55fb789eef1 · outbound

This paper cites Cord: a con- solidated receipt dataset for post-ocr parsing.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Cord: a con- solidated receipt dataset for post-ocr parsing

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.903544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.360641Z digest=sha256:7f2281bc1c7d4d8fcc4bc99772fa13e476350086815e66cde0369d9d78795c20

Observation 872eb70e-a7d9-45a7-a518-26ebd8f5cb0e · outbound

This paper cites Doclaynet: A large human- annotated dataset for document-layout segmentation.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Doclaynet: A large human- annotated dataset for document-layout segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.889052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.365697Z digest=sha256:0ed7e0d0022e42451ae92388db70efafb60e896c6ee2450999a87e1e190c9237

Observation efbda340-8755-495f-83fc-464e61ad67c8 · outbound

This paper cites Faster r-cnn: Towards real-time object detection with region proposal networks.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Faster r-cnn: Towards real-time object detection with region proposal networks

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.873852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.370621Z digest=sha256:e5e7ead4abbaa79fccf4531ec1d6e50254f54ff77d12418b692975d4bf549aae

Observation 2b1d6d0d-721b-406d-8f4e-b73b92c58d1f · outbound

This paper cites Teaching Machines to Code: Neural Markup Generation with Visual Attention.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Teaching Machines to Code: Neural Markup Generation with Visual Attention

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.375003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.375003Z digest=sha256:538d0baeaed9d6375c1ea541f29d742d2e87d006820a08c5ba00712d9ba56863

Observation c170a1f5-9610-4b76-9d6d-6f5d06f81485 · outbound

This paper cites Optimal boxes: boosting end-to- end scene text recognition by adjusting annotated bounding boxes via reinforcement learning.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Optimal boxes: boosting end-to- end scene text recognition by adjusting annotated bounding boxes via reinforcement learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.858931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.379518Z digest=sha256:464442519a71fd3d67506f997d3e8e1c97d9d16304be32ec947ef078b8204e66

Observation ab2c288d-7ca2-446a-9fbd-fda1ccc47fc2 · outbound

This paper cites You can even annotate text with voice: Transcription-only-supervised text spotting.

DREAM: Document Reconstruction via End-to-end Autoregressive Model You can even annotate text with voice: Transcription-only-supervised text spotting

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.843160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.384147Z digest=sha256:ddaa4e130ec04f3b97f217d5804e5e0fdac472e3a5f15028e33c800c14bcd57e

Observation 5a319298-a728-4ca8-bf3f-f4b3333995df · outbound

This paper cites Few could be better than all: Feature sampling and grouping for scene text detection.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Few could be better than all: Feature sampling and grouping for scene text detection

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.827325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.388544Z digest=sha256:543f730fe8e44250d6e4fcbe9847ebbbebe3c455b9b797ac6e9caded69d42a6f

Observation 0484cee8-75a7-4201-88cf-d52fa8438ce3 · outbound

This paper cites LayoutReader: Pre-training of Text and Layout for Reading Order Detection.

DREAM: Document Reconstruction via End-to-end Autoregressive Model LayoutReader: Pre-training of Text and Layout for Reading Order Detection

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.392730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.392730Z digest=sha256:fb3c4825db7c316622c2279cf6afe0c275e6fef7338974a7483d69930152deb8

Observation 03832ba0-8b19-4b52-896a-0808bffac202 · outbound

This paper cites Learning to extract semantic struc- ture from documents using multimodal fully convolutional neural networks.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Learning to extract semantic struc- ture from documents using multimodal fully convolutional neural networks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.811267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.397512Z digest=sha256:32be952ccfbfd446371190e474f26cc717cf42c576d9859b8491594dc366f33f

Observation 68b287c7-9c24-40a4-831d-5f3ddeaa17a0 · outbound

This paper cites Syntax-aware network for handwritten mathematical expression recognition.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Syntax-aware network for handwritten mathematical expression recognition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.795640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.401908Z digest=sha256:4d7ba0ed09b0e09d774d013496b9c7afbe5ad9ff21496d57e796acd94aefc6de

Observation a70f3a22-86b5-4ed4-a3b1-44bf787a18de · outbound

This paper cites Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction

Reference 54

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:21:45.495864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.406729Z digest=sha256:f4bb0c9e36732a025490d27d5e797e7e1987f75e6792180d41ff770cca3a3319

Observation a063515c-3be1-4e26-973a-bad7a26f70e1 · outbound

This paper cites Vsr: a unified framework for document layout analysis combining vision, semantics and relations.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Vsr: a unified framework for document layout analysis combining vision, semantics and relations

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.777349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.411469Z digest=sha256:aed991d42c0597937e33efa38a5536c480faafbf071b11071a9e1cc29a75da75

Observation 25695353-289a-496a-96c9-a829c2bae29b · outbound

This paper cites Tabpedia: Towards comprehensive visual ta- ble understanding with concept synergy.Advances in Neural Information Processing Systems, 37:7185–7212, 2025.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Tabpedia: Towards comprehensive visual ta- ble understanding with concept synergy.Advances in Neural Information Processing Systems, 37:7185–7212, 2025

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.761550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.415784Z digest=sha256:26d8fad0803a2bcb19d7ca0ca790eba733a1c0289ff2744d19840a72fdc1ac30

Observation 09757057-99eb-4106-b319-95ea1054d91c · outbound

This paper cites Multi-modal in-context learning makes an ego-evolving scene text recognizer.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Multi-modal in-context learning makes an ego-evolving scene text recognizer

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.746186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.420331Z digest=sha256:0d66f3c00edf1be20ad67d1a66c779d4be5735ac330b52d52cc51b4badfd3e21

Observation 739e563b-2c55-478a-ba58-4b3f95051848 · outbound

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

DREAM: Document Reconstruction via End-to-end Autoregressive Model Pub- laynet: largest dataset ever for document layout analysis

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.731521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.424847Z digest=sha256:943ddc003c9d34cb49e43bd9b1eada2d636ab0d97b4c4c5b716afebb77e5df7a

Observation bc44b73e-4a4a-4120-bef9-a8252e078016 · outbound

This paper cites Image-based table recognition: data, model, and evaluation.

DREAM: Document Reconstruction via End-to-end Autoregressive Model Image-based table recognition: data, model, and evaluation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:21:45.716157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T19:21:45.429219Z digest=sha256:965a9ccb06b970b578f5906d2acf7ff744b9d47a2fe2ea3c108dbfad5bc07222

Observation e7492f35-525e-4233-92df-def6c3aa3648 · outbound

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

DREAM: Document Reconstruction via End-to-end Autoregressive Model Deformable DETR: Deformable Transformers for End-to-End Object Detection

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-06T19:21:45.433810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:21:45.433810Z digest=sha256:c1ddd13c6c5d0bad38bbe974d5b0eb79e5620d30b93cfc79630f2403b343b5e3

Pith citing papers

No inbound Pith citation observations are available.