Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era | Paper Citation Record

Observation 53144272-4308-4163-948a-cb8caa37552a · outbound

This paper cites Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Geospatial revolution and remote sensing LiDAR in Mesoamerican archaeology

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.669923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3fad52a3-ebc3-4b39-8134-5409bc42a3bc · outbound

This paper cites Progres- sion and issues in the Mesoamerican geospatial revolution: An introduction.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Progres- sion and issues in the Mesoamerican geospatial revolution: An introduction

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.655883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1e6fae77-1186-407c-9f16-302d8a931447 · outbound

This paper cites Uncovering archaeological landscapes at Angkor using LiDAR.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Uncovering archaeological landscapes at Angkor using LiDAR

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.641606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 80594629-6a62-4504-a2e7-218c481c750d · outbound

This paper cites Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Ancient lowland Maya complexity as revealed by airborne laser scanning of northern Guatemala

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.627365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 335b79e8-93a2-4875-b76c-d4d2a5431095 · outbound

This paper cites Combined detection and segmentation of archeological structures from LiDAR data using a deep learning approach.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Combined detection and segmentation of archeological structures from LiDAR data using a deep learning approach

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.613614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b0f3251c-8728-4b4d-b7cc-cdaae5ee7f7c · outbound

This paper cites Semantic segmentation (U-Net) of archaeological features in airborne laser scanning—example of the Białowie˙za forest.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Semantic segmentation (U-Net) of archaeological features in airborne laser scanning—example of the Białowie˙za forest

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.600402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6b3f224c-63b4-4665-946c-831813ee92dd · outbound

This paper cites Ecology in an anthropogenic biosphere.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Ecology in an anthropogenic biosphere

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.586694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4c37b1c-06d0-4220-b869-000ae34cf95e · outbound

This paper cites LiDAR as a tool for archaeological research: A case study.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era LiDAR as a tool for archaeological research: A case study

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.572417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a529075b-6896-4e83-a075-fa1c7cf4ffa9 · outbound

This paper cites U-Net: Convolutional networks for biomedical image segmentation.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era U-Net: Convolutional networks for biomedical image segmentation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.558595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f9dae2e-4cce-46ce-9986-0b8b74c9e8a0 · outbound

This paper cites LiDAR applica- tions in archaeology: A systematic review.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era LiDAR applica- tions in archaeology: A systematic review

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.544427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30a103fb-dc11-4fce-a9fb-cf1e6ca86ee9 · outbound

This paper cites Looting hoards of gold and poaching spotted owls: Data confidentiality among archaeologists & zoologists.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Looting hoards of gold and poaching spotted owls: Data confidentiality among archaeologists & zoologists

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.529284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9ab0063a-7808-4843-962f-d29d158b5d5d · outbound

This paper cites Ethics in archaeological lidar.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Ethics in archaeological lidar

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.514644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ae094289-d976-47eb-9a85-f144c8b335f5 · outbound

This paper cites https://github.com/ickramer/Arran.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era https://github.com/ickramer/Arran

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.500440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 00aa7bca-0cd4-434d-bb80-f0a25740103a · outbound

This paper cites Johnson, and Chandi Witharana.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Johnson, and Chandi Witharana

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.485801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf6f3900-c9ea-4fb7-9d72-d6db42af3462 · outbound

This paper cites Unveiling Ancient Maya Settlements Using Aerial LiDAR Image Segmentation.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Unveiling Ancient Maya Settlements Using Aerial LiDAR Image Segmentation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-11T20:53:48.848092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c429101f-84f3-430a-80e4-24478f459091 · outbound

This paper cites Bourgeois.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Bourgeois

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.471019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a20399a5-35ce-4097-b678-e7875cf4bdf4 · outbound

This paper cites Deep learning for archaeological object detection on LiDAR: New evaluation measures and insights.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Deep learning for archaeological object detection on LiDAR: New evaluation measures and insights

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.456270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 597eb6c2-d7e0-45b5-94fd-8d65861e9d9d · outbound

This paper cites Automated large-scale mapping and analysis of relict charcoal hearths in Connecticut (USA) using a deep learning YOLOv4 framework.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Automated large-scale mapping and analysis of relict charcoal hearths in Connecticut (USA) using a deep learning YOLOv4 framework

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.442429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 112507d3-6b41-40a3-ad7c-0ed2a87c8571 · outbound

This paper cites Bringing lunar LiDAR back down to Earth: Mapping our industrial heritage through deep transfer learning.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Bringing lunar LiDAR back down to Earth: Mapping our industrial heritage through deep transfer learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.427806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce27cc67-8502-4a79-b4e5-7c8c4d6cd2d0 · outbound

This paper cites Carter, Jeff H.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Carter, Jeff H

Reference 20

Resolution: verified exact; doi, observed 2026-08-11T20:53:48.662780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cba6c1ef-647e-4c0c-82e8-eb47b803236c · outbound

This paper cites Semantic segmentation of airborne LiDAR data in Maya archaeology.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Semantic segmentation of airborne LiDAR data in Maya archaeology

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.410900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3932c9b6-e838-46f0-aede-8ee25814761f · outbound

This paper cites Learning to classify structures in ALS-derived visualizations of ancient Maya settlements with CNN.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Learning to classify structures in ALS-derived visualizations of ancient Maya settlements with CNN

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.396203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 998876cb-1338-41d2-a603-2e8fecbe90e4 · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.381537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac000de6-da4e-45b4-bdff-eab8656685cd · outbound

This paper cites Gradient-based learning applied to document recognition.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Gradient-based learning applied to document recognition

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.366249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e80af0f-6a33-4922-b411-0cad78917d44 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:48.469780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 345df8fb-0696-42df-be96-7784536c308a · outbound

This paper cites Spatial pyramid pooling in deep convolutional networks for visual recognition.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Spatial pyramid pooling in deep convolutional networks for visual recognition

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.349577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 61220cf4-b29b-48d5-91d5-1f8e8147b3f1 · outbound

This paper cites Attention is all you need.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Attention is all you need

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:48.479597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42bfdc42-eea4-4444-b553-a4f507726605 · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era An image is worth 16x16 words: Transformers for image recognition at scale

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.322243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1726e531-f7cf-412a-b029-69a1ab4d83d9 · outbound

This paper cites Neural plasticity-inspired foundation model for observing the Earth crossing modalities.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Neural plasticity-inspired foundation model for observing the Earth crossing modalities

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:48.488842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb593ae-86bb-491a-97a7-4738ef837cec · outbound

This paper cites Pyramid vision transformer: A versatile backbone for dense prediction without convolutions.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Pyramid vision transformer: A versatile backbone for dense prediction without convolutions

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.307133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d22f5574-34ce-4a21-9cd3-3477b57fa8e3 · outbound

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

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era SWIN transformer: Hierarchical vision transformer using shifted windows

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.292165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 97d3a5b6-48de-4778-98cf-49e2d36712e1 · outbound

This paper cites Twins: Revisiting the design of spatial attention in vision transformers.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Twins: Revisiting the design of spatial attention in vision transformers

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.277502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation db194863-b508-4da6-bad5-e3e99bd9707e · outbound

This paper cites PVTv2: Improved baselines with pyramid vision transformer.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era PVTv2: Improved baselines with pyramid vision transformer

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.261833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5c73b73-e2cc-47fa-820a-f858f201dcc6 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Learning transferable visual models from natural language supervision

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:48.508814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0602e81e-43bd-4166-b826-4ff46db1195d · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.237884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 43836ed6-29e5-4e55-ba6d-60960c4f5921 · outbound

This paper cites DINOv2: Learning robust visual features without supervision.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era DINOv2: Learning robust visual features without supervision

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.222697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe0b80fc-14f9-4897-afd0-5efa49c86431 · outbound

This paper cites Masked autoencoders are scalable vision learners.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Masked autoencoders are scalable vision learners

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T20:53:48.520675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc9eab5-d5cb-49ca-9968-095a7034b975 · outbound

This paper cites Scale-MAE: A scale- aware masked autoencoder for multiscale geospatial representation learning.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Scale-MAE: A scale- aware masked autoencoder for multiscale geospatial representation learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.195634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 877fd641-2676-40e7-a597-bce830af35c1 · outbound

This paper cites Airborne laser scanning as a method for exploring long-term socio-ecological dynamics in Cambodia.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Airborne laser scanning as a method for exploring long-term socio-ecological dynamics in Cambodia

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.180331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5fe6b54d-549d-4d55-bbde-c7fbec33e399 · outbound

This paper cites Terrasolid.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Terrasolid

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.165487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 310a3268-0c38-400c-a842-18a23e401eea · outbound

This paper cites Automatic extraction of irregular network digital terrain models.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Automatic extraction of irregular network digital terrain models

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.150560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ce617189-8b33-4ac4-8d87-a9237e760b35 · outbound

This paper cites Carte archéologique de la région d’Angkor - Zone Sud.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Carte archéologique de la région d’Angkor - Zone Sud

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.135432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4f628b54-21ee-4da0-a859-8e90b55e7512 · outbound

This paper cites hydraulic city.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era hydraulic city

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.119876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7c856c71-8cc0-4fe8-b60a-8c6978de9bd8 · outbound

This paper cites ImageNet large scale visual recognition challenge.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era ImageNet large scale visual recognition challenge

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.103685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a93da15a-3f98-4bf0-a8c8-483e920b6a2a · outbound

This paper cites ImageNet-21K pretraining for the masses.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era ImageNet-21K pretraining for the masses

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.087870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d342ddd5-d87f-46bf-a548-81e39d192de6 · outbound

This paper cites SatlasPretrain: A large-scale dataset for remote sensing image understanding.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era SatlasPretrain: A large-scale dataset for remote sensing image understanding

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.073343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf7ca90e-9e6b-4645-a089-b0ed2b40fe7b · outbound

This paper cites an unresolved cited work.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:53:49.059821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 75d14697-d329-4a09-af25-742b7ef718ab · outbound

This paper cites Discover the mysteries of the Maya: Selected contributions from the machine learning challenge & the discovery challenge workshop at ECML PKDD 2021, 2022.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Discover the mysteries of the Maya: Selected contributions from the machine learning challenge & the discovery challenge workshop at ECML PKDD 2021, 2022

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.045841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3c13b703-aeb4-4462-9951-6e008928ca2b · outbound

This paper cites Davis and Julius Lundin.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Davis and Julius Lundin

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.030944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 92a0ef02-dbc1-4955-9445-8698fcc35adf · outbound

This paper cites Orengo, Felipe Lumbreras, Miguel Carrero-Pazos, João Fonte, and Benito Vilas-Estévez.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Orengo, Felipe Lumbreras, Miguel Carrero-Pazos, João Fonte, and Benito Vilas-Estévez

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.016155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f2aaff69-48e0-4acc-975c-fcad8755d95a · outbound

This paper cites Detecting archaeological features with airborne laser scanning in the alpine tundra of Sápmi, northern Finland.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Detecting archaeological features with airborne laser scanning in the alpine tundra of Sápmi, northern Finland

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:49.001609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e5e060d1-5bd2-4f4f-9813-bfe1e3a62fdf · outbound

This paper cites Richards-Rissetto, D.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Richards-Rissetto, D

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:48.986676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a359535-e26a-4804-aef0-6bf7b9154117 · outbound

This paper cites an unresolved cited work.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:53:48.971333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6534444e-3aa2-4745-bd1b-17825a6e3799 · outbound

This paper cites LoRa: Low-rank adaptation of large language models.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era LoRa: Low-rank adaptation of large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:48.955223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aaf3b8a6-e17b-43ff-9cfb-2a483f28c5f6 · outbound

This paper cites org/docs/stable/generated/torch.optim.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era org/docs/stable/generated/torch.optim

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:48.938765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 96ae83a2-8ebf-4a7e-9e0b-3c81b090337b · outbound

This paper cites an unresolved cited work.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-11T20:53:48.922662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e15136d2-6b86-49ae-807d-f552f7919cca · outbound

This paper cites for benchmarks).

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era for benchmarks)

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:48.908164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation af3ba245-b68b-4c89-b175-377ffd9efdfc · outbound

This paper cites (a) If your work uses existing assets, did you cite the creators? [Yes] (b) Did you mention the license of the assets? [N/A] The code licenses are given on the linked websites.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era (a) If your work uses existing assets, did you cite the creators? [Yes] (b) Did you mention the license of the assets? [N/A] The code licenses are given on the linked websites

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:48.893709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d7cca99-81d0-41ac-b59d-dd87987e8842 · outbound

This paper cites DATASET”) available for research and educational purposes to individuals or entities (.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era DATASET”) available for research and educational purposes to individuals or entities (

Reference 59

Resolution: malformed identifier; raw_fallback, observed 2026-08-11T20:53:48.878712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 906d5d51-2004-43a0-af45-7d27196d4366 · outbound

This paper cites raw” data saved in addition to the preprocessed/cleaned/labeled data (e.g., to support unanticipated future uses)? If so, please provide a link or other access point to the “raw.

Archaeoscape: Bringing Aerial Laser Scanning Archaeology to the Deep Learning Era raw” data saved in addition to the preprocessed/cleaned/labeled data (e.g., to support unanticipated future uses)? If so, please provide a link or other access point to the “raw

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T20:53:48.862800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers