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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.158071Z digest=sha256:1c5d127170ac32deea00c4fa84a4353435ea7ed345ea7caf341626df5fb5844a

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=sha256:55b8858785d3a305a83a76e064a2e635f9b8a8f86ca066a649c332d2a064cce8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.167713Z digest=sha256:bd922bafa1edde80f639bf58de7c9bd777d5fdbbda079c4cf3834f8d7984b23e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.172447Z digest=sha256:c1939a306e4c71a22f72b3e408e787f46887c0ebbbba87c756a25ea1f7e39cf6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.176529Z digest=sha256:541c54745d65ab7ee2a8c67518bdad524e50187a910105f35e66db3ce99073c3

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:b01b2f69f10b81b52848157734007b06d8b39d1796d7ba1817cb0b39bc55d8a8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.185526Z digest=sha256:4f935eb4884fb6812625c8fa89f4d9da05f9acbabcbf446fdd7c612af6dc32db

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.190217Z digest=sha256:f39de0abd883124f82b1d7edddd06c867956b4418287efa5e1a30ea98b6f6a77

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=sha256:776d3d9410378af89dc0aa42d03cfdac0f72966b47deabe4a8b090a58f98e6b8

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=sha256:9101b98d17951dd432612c07e4d62e452373890a8d3e09aafae3189b21105e7b

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=sha256:98090c88a6e3b7c8641d38a2420cebe89f15914349a5a05fd7618709af14aaf2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.208059Z digest=sha256:7b266bcbe144fb25586d42ee4406b08685900b0db8d9089534e5512744ef3edc

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.212790Z digest=sha256:84bae205ec7dc8339bfeaf5a5b6907bf46cda93b1826b3a74c425d09a4d9d591

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.218386Z digest=sha256:ec29009a68500b097998241a77cb68beb346974872a1036df1c41f2a995164e9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.223564Z digest=sha256:4e06fe1dc7e1b932930432ca61be0c20f3fbd8c22c78a465ca9e96d139444d02

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.232778Z digest=sha256:16f96a03b06744e16a7f34296e2909165eab290248723b1e332efcdcb6be2f00

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.237325Z digest=sha256:1f939e2fb897585497a69120774f4dcf9bff89711711644a73ba202a0a8d3763

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.242205Z digest=sha256:2c120996d375f8f470f59fd278ef0fa0e2435dcf08c5faef364240253630530b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.247034Z digest=sha256:9a34dff9a5a68e5e0e4ed9c3502266e909a95823151a97cd66385a6048a11724

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.252219Z digest=sha256:5530e9b25ebd72b599dbbea0925d0c5b1b05efe36b81dfb60c704fc0593292c2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.256923Z digest=sha256:072781059c02ab3a919952439963c5ef8f913cb746ba19aca68f2b6c895fdaf9

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.261333Z digest=sha256:d9fa0bcf68c959e6ad96f0d506d472e4470d4ed6578be1c468a5c7d4ac6682e8

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:dc5e44217b9a0406b4cee0eb6e3bd0c738127e43e61c73fe0afc54ca69a0effa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.270962Z digest=sha256:414247e838eb56202a65b6dc89634ed7f65f37b77643d5713341a8b041b4ddf5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.280408Z digest=sha256:cd4b233930f438e8fab0e9054cbc9ee5789ad710f3f0080cdad84b9ec748cfd2

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=sha256:9c27d05a87f24f5e305057b2adf94921fa124f2016fee2c62cb191c06c47b4c3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.290580Z digest=sha256:8607cb8bc99caff9fcc490b92711857a97dead9228abeb8197fefc304515a435

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=sha256:3a96dfd2bddf673aba2e7926d00f301386725369f39e59f5dcb17968fd444bca

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.300239Z digest=sha256:ba620a6a1f53aa23f1e01f429021f9db9f29d115216643686d9fe32a177bc11b

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.304719Z digest=sha256:c04654aa42924fa2a9df4bfa38bbc3087d5f66a765e7eb13bde251667feb35ad

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.309328Z digest=sha256:f7bbe933b99b93fabbf9c613c4ce6e0151b87ee907219d621387a8f8dcfc7288

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.313757Z digest=sha256:9b76f36a9785eccf61cd0868f551b7ec768b1fc90cdaf40d8ffff419ef6bb92d

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=sha256:36a11e47a127d9d9e5d1e08ebee083420e438734eace29d3195be174b70e5ad3

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.323262Z digest=sha256:caa94ccbdcf664d892e961c7540e2e6b0ff452089a66c1b5802c3da8287d747c

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.327632Z digest=sha256:e9ab3efa51e7cd8057366c927983eeeb9b54165499871e77189cfa8cb68c5651

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.332097Z digest=sha256:e2fd6183e6187d139970c54dfcec9aecf69dfe5a15f368ea9a0dd387bc6279ab

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=sha256:1e5ec25b0cf8b36528ff48f7442ee58acf4d462a32ea7ad06a9cebd3c3f07548

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.341450Z digest=sha256:2003a598008ee48de18e8df41ed88617d2cc203b5be21f68ed6778ccca7a447d

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.345904Z digest=sha256:3c40ac338dbc2ce739855e4c2b17ccc9c71ab7c9132a1696562bf4f84931a011

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.350522Z digest=sha256:0a5a2fd1fb5bccc9de600a13fa80f9ee263dd23244021ece15638b8490262b8e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.355000Z digest=sha256:4ad5aaa373f143ae609fcf8ca7396d8757b1180ba2d8eb458012faa48a3ef93e

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.360641Z digest=sha256:b993aa0d05c4359d4d2cc92c5f336e0ef6d35782cb4e8efbdde907ea8f0eb248

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.365697Z digest=sha256:40fe0d77072768746a729cf1bb4ff3c70e62329292a9fe23ab3ea0377fe6f9e5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.370621Z digest=sha256:22bb66d8267b371de3faeb9d6b2d3e5435d8e258bd13c90b81b80b96b062845c

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:e2b7a684874b730b40ce0269f846063b6389e0661e157c34dac3585a900bfeb5

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.379518Z digest=sha256:b47a5019151f8b748b7490c24c9b9ecd137aace17dd79abe889da843c3072af8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.384147Z digest=sha256:302e3b3f90d4b0cfa9c5dc722abfe798f5ec3f7756fa109ee07daabc0f5e9347

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.388544Z digest=sha256:b5b157355ebe3f96923f6e8e908363de73b8de0e5d8f7c81233242558cc6b668

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=sha256:90590b9bbeaa97fef503559989f0782223d8050b2e1ab166deb8be0b144c8ee8

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.397512Z digest=sha256:a66d4b602a1b19be40394e292c6ac259a8461c2a59f6738c90a5429a091734aa

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.401908Z digest=sha256:4db4c5b41e2827343b9c698e5edcdf71277bbbda90b0fc0415333b339201ae28

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.406729Z digest=sha256:af626f5a57e7dfef6a4b230ceb199b23e4920fbbd4232e35c6ed339b0f575894

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.411469Z digest=sha256:a0b7fa1560a712dc503d542d9350b6879899e087f2cdcd7fdaf3b7f602fc82de

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.415784Z digest=sha256:94d8787359e423bffc3cb80a526a87a8b4ecaffbb6c20bb8e12db07cfc847843

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.420331Z digest=sha256:e2bba0ffbacbf9927c56073108f4347622c86093171c3c6fbbaf65c80513f6be

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.424847Z digest=sha256:917106c87c6614feb71fa3060c0d2776e454cd52f523dda584979386cdd544da

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T19:21:45.429219Z digest=sha256:bdb6590862df2b610f4ae1f7c50babc2f44d37e1ae65b10a089d44f681da59bb

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=sha256:11bf0898d1d4f9662f9775b531247fb371da8cdfecbd13d8db6f335ca22bc27f

Pith citing papers

No inbound Pith citation observations are available.