Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:15.513829Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2505.24676.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:21:15.513829Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
47 of 47 outbound references displayed
External citation measurements
No source-named external measurement is stored.
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 10
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Saavedra, David Contreras, Juan Manuel Barrios, and Luiz S
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Duda and Peter E
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 14
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Fischler and Robert C
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 17
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 18
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning 1985.Crabgrass Frontier: The Suburbanization of the United States
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 20
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning TrOCR: Transformer-based Optical Character Recognition with Pre-trained Models
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Revisiting Classifier Two-Sample Tests
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 24
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Marchiel
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 29
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 30
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning A Conglomerate of Multiple OCR Table Detection and Extraction
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Reference 33
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning 2017.The Color of Law: A Forgotten History of How Our Government Segregated America
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning 2003.Discriminating Risk: The US Mortgage Lending Industry in the Twentieth Century
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 40
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
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Predicting the Past: Estimating Historical Appraisals with OCR and Machine Learning Unresolved cited work
Reference 45
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Reference 47
Source-reported events for the cited work
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No inbound Pith citation observations are available.