Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T14:52:42.233834Z
Paper Citation Record · LEDGER
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation
As of 12 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2412.11574.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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
Reference resolution
66 of 66 outbound references displayed
- verified exact12
- verified fuzzy3
- unresolved50
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7fdd1d30-ef84-464e-9b0f-c098ea5b7328 · outbound
This paper cites Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Gradio: Hassle-Free Sharing and Testing of ML Models in the Wild
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 988509e3-530f-4e31-8abd-525e52173daf · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 2
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 274cc01d-5f38-40a0-be90-23ed2655622b · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 3
- Resolution
- verified exact
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5a48b9c1-0805-4de8-8314-e9bd0f9f1fab · outbound
This paper cites Self-Training: A Survey.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Self-Training: A Survey
Reference 4
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 699c0a46-5ebc-40f3-895d-7864236f5257 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 5
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32f0a4de-ac1b-4863-bec9-16c8dda3ad3d · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 6
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation cea12f79-4690-40c0-81b4-58d84549725e · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 7
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6c9e6b89-6e59-48f7-8d64-6e747f02905e · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 8
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fe92ebfb-1509-4de4-8b47-a43abf9e29ba · outbound
This paper cites Orengo, and Iban Berganzo-Besga.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Orengo, and Iban Berganzo-Besga
Reference 9
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2f69ced-00cb-473e-84e9-52ea4787c905 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 10
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation afbc7b77-2c41-44ec-b09c-5137a0ad069d · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 11
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8f73214-8deb-47ef-b90c-68f300104b7a · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 12
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ffa4e982-ce87-43dc-9a64-9856d0dbaefc · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 13
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dabf0e82-29bc-45f4-b88b-8b4b11f72895 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 14
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0dc61383-4228-4127-9d05-76a4d047689b · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 15
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9441df53-5385-4e8e-908d-3e1127c314bf · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 16
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 5c7c25c7-59ab-4910-b0ba-103b3a79fdf8 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 17
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 83cb354b-de9f-4391-a64a-c68b20665249 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 18
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 2caffd07-fd40-43b7-ab97-d1a23ec3ca4c · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 19
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 300db896-283d-4f45-8f6b-4252fd94d901 · outbound
This paper cites Omer, Cunlin Zhang, Qunxi Zhang, Yirong Ma, Zhiyang Zhang, et al.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Omer, Cunlin Zhang, Qunxi Zhang, Yirong Ma, Zhiyang Zhang, et al
Reference 20
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e6f2e9be-2cc2-4164-9679-28115d7ad433 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 21
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fa1cdae5-16a9-41fe-8abd-9418717c511a · outbound
This paper cites Roosevelt.
Reference 22
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc3618d5-2944-4241-9482-947f2b844e8a · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 23
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9204b874-04b5-4135-8dfc-d4b374459b16 · outbound
This paper cites A Learned Representation For Artistic Style.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation A Learned Representation For Artistic Style
Reference 24
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba366617-f6ab-49e8-8a15-23b516491403 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 25
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d44cfcc6-c479-43b2-94cc-4b95324b4795 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 26
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b2a72cd6-f452-4e89-9a20-8a399a0a7189 · outbound
This paper cites Rubat Borel.
Reference 27
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c27ab37b-cd12-4fba-8470-5e2236dfda7a · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 28
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 81d4859a-c93b-4482-bdaa-5ba001f6dcdc · outbound
This paper cites Deep Residual Learning for Image Recognition.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Deep Residual Learning for Image Recognition
Reference 29
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5daba21d-2a64-4269-a2b0-be1e57d79056 · outbound
This paper cites YOLO Evolution: A Comprehensive Benchmark and Architectural Review of YOLOv12, YOLO11, and Their Previous Versions.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation YOLO Evolution: A Comprehensive Benchmark and Architectural Review of YOLOv12, YOLO11, and Their Previous Versions
Reference 30
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99d365c9-ef18-4e41-b65f-9d808f463e69 · outbound
This paper cites Neural Style Transfer: A Review.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Neural Style Transfer: A Review
Reference 31
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31c6ff71-c0f4-4b84-898e-6377c468585b · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 32
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 06942f27-4b41-49db-9f9b-3316da29a9db · outbound
This paper cites Auto-Encoding Variational Bayes.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Auto-Encoding Variational Bayes
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7963756f-901d-4fea-9b1f-d20fea787534 · outbound
This paper cites AutArch: An AI-assisted workflow for object detection and automated recording in archaeological catalogues.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation AutArch: An AI-assisted workflow for object detection and automated recording in archaeological catalogues
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe42be08-3960-47b4-a62b-a463dc49bb41 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27401107-a020-4baf-99e0-b134b4b14e12 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 36
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e9a50e1-a36c-4a02-a7f3-51fbf817b72e · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 19a358ab-7f29-4a75-80ab-aa1d23abc61c · outbound
This paper cites Cross-Entropy Loss Functions: Theoretical Analysis and Applications.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Cross-Entropy Loss Functions: Theoretical Analysis and Applications
Reference 38
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1d32b68b-46ab-4ca7-8eb7-7354f3ce7094 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 39
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 373a92f6-c831-4a1b-bede-4b72ab74151a · outbound
This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Reference 40
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95db096a-7ce0-4873-9031-736b7231811f · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 41
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 40e134df-43df-4018-a7ab-2f27d28519e6 · outbound
This paper cites De Agostino, J.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation De Agostino, J
Reference 42
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation c47c566f-6bc4-4eb7-8524-626526b2a9ae · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 43
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 621ddd62-2f89-408d-af06-4e2a1a07e062 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 44
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1037b0e-3de5-4e1e-840b-d1aad75fb2c2 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 45
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1be6a953-471e-4965-b3a5-20e4dbb2215d · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 447fa35f-9457-4011-af04-69cda500ca94 · outbound
This paper cites Ruggeri Giove.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Ruggeri Giove
Reference 47
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 42fe6501-27f2-4ea7-aaac-55cb031fa711 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 48
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5697c77a-5d45-44af-a5e3-d25f7aa2ca1d · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 49
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 61e09104-c443-4d8a-bc06-9284b19c4c20 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 50
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 9e382c1d-18c5-4969-a1c7-c21640cf3a52 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 51
- Resolution
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- raw_fallback, observed 2026-08-11T14:52:43.552275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 8cd8fda4-7f6b-40fe-9be2-0c73a644c492 · outbound
This paper cites Zero-Shot Text-to-Image Generation.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Zero-Shot Text-to-Image Generation
Reference 52
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 641c98bc-0734-4414-86fe-98568666ee84 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 53
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 382f48ba-c2f1-48c2-94fb-b9f14e80c9ea · outbound
This paper cites You Only Look Once: Unified, Real-Time Object Detection.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation You Only Look Once: Unified, Real-Time Object Detection
Reference 54
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 815c8b1a-c2bd-4c20-b524-e19fab6e04ea · outbound
This paper cites Albrecht, Hendrik F.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Albrecht, Hendrik F
Reference 55
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e27477e0-ddef-438e-a1f2-84e9098b7695 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 56
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation fc32202a-4519-40e4-baff-b90d2cd5dcf6 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 57
- Resolution
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- raw_fallback, observed 2026-08-11T14:52:43.498716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7a2f9315-8fcb-4817-9f98-10c655863d65 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 58
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 33a980a4-7b3a-4314-a55b-d9b82cf81af4 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 59
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78e161cf-5fcb-4671-9efc-3ef4dcfc39d6 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 60
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Source-reported events for the cited work
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Observation 203a89db-665e-4b81-8f3d-54db5c924ded · outbound
This paper cites EfficientNetV2: Smaller Models and Faster Training.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation EfficientNetV2: Smaller Models and Faster Training
Reference 61
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation deda410b-524a-4421-897f-e9b51b2aa835 · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 62
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d13897f7-2453-43c4-a53a-44a239fa0e4a · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 63
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0dc3f901-2d94-40f2-8305-057785c5e99f · outbound
This paper cites an unresolved cited work.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work
Reference 64
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation d20dc53e-4321-4582-a5e1-d8da1c3ee802 · outbound
This paper cites DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception
Reference 65
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe83a301-fd56-4fd3-86a5-a4a592c8b46b · outbound
This paper cites Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks.
PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Reference 66
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.