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Paper Citation Record · LEDGER

PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation

As of 13 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.

pith.paper-citation-record.v1
2412.11574 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:52:42.233834Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

66 of 66 outbound references displayed

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  • verified fuzzy3
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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

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Source-reported events for the cited work

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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

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verified exact
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Source-reported events for the cited work

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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

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verified exact
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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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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

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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

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 12

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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

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 14

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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

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Source-reported events for the cited work

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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

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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

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Observation 83cb354b-de9f-4391-a64a-c68b20665249 · outbound

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 18

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 19

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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

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 21

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Roosevelt

Reference 22

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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

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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

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Rubat Borel

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 28

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Deep Residual Learning for Image Recognition

Reference 29

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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

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Neural Style Transfer: A Review

Reference 31

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 32

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Auto-Encoding Variational Bayes

Reference 33

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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

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e9a50e1-a36c-4a02-a7f3-51fbf817b72e · outbound

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PyPotteryLens: An Open-Source Deep Learning Framework for Automated Digitisation of Archaeological Pottery Documentation Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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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

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Unavailable: canonical work link unavailable.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

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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

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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.

source=arxiv_source observed=2026-08-11T14:52:42.176806Z digest=sha256:da59ed58b4b7f17b0481ba016534676f80da8443c6fdc081701abf6e0fbae036

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

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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.

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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

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:52:42.207966Z digest=sha256:0306e3c9d6e95626d9746786e1f7b585960457985e35909ef82be93fee925796

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:52:42.213329Z digest=sha256:811ebf1b80df7ba9b3b20b41db9d7a66b55bf08e7251b28ed752e730f3df1b29

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
unresolved
raw_fallback, observed 2026-08-11T14:52:43.437593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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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
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:52:42.228813Z digest=sha256:7c2f3824d9163f4d439c07cfc33e3401050ed3cfd3bc46092d7cc4ed09cd6f55

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

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unresolved
no resolver link, observed 2026-08-11T14:52:42.233834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:52:42.233834Z digest=sha256:1a514608242484a4ba85a1eb1492dc3402795d50f53c5fe3c8958a9d8a2b5629

Pith citing papers

No inbound Pith citation observations are available.