{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:GWV63TGIJSXP6IDRLC7S7OFCYW","short_pith_number":"pith:GWV63TGI","canonical_record":{"source":{"id":"2112.06530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-13T10:04:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1c16a3b6f021334f01f294967cf861f1eb3947fbfdc25612eac31c8ebf56e048","abstract_canon_sha256":"db735a241fa26c0059a394e29ddec1a219c10d6e750931b7e997dfd24fd2bd70"},"schema_version":"1.0"},"canonical_sha256":"35abedccc84caeff207158bf2fb8a2c5b14cbf0e04313d4b91732f36acbc08c5","source":{"kind":"arxiv","id":"2112.06530","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.06530","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"arxiv_version","alias_value":"2112.06530v1","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.06530","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"pith_short_12","alias_value":"GWV63TGIJSXP","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"pith_short_16","alias_value":"GWV63TGIJSXP6IDR","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"pith_short_8","alias_value":"GWV63TGI","created_at":"2026-07-05T03:40:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:GWV63TGIJSXP6IDRLC7S7OFCYW","target":"record","payload":{"canonical_record":{"source":{"id":"2112.06530","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-13T10:04:51Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"1c16a3b6f021334f01f294967cf861f1eb3947fbfdc25612eac31c8ebf56e048","abstract_canon_sha256":"db735a241fa26c0059a394e29ddec1a219c10d6e750931b7e997dfd24fd2bd70"},"schema_version":"1.0"},"canonical_sha256":"35abedccc84caeff207158bf2fb8a2c5b14cbf0e04313d4b91732f36acbc08c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:40:14.616581Z","signature_b64":"V9/bO5cTwI6cxv7tSOayaP2auD49bdyPTZdfK97e21hceUSafKyi59qgCYD7sZ5iZ/yzA8vS96FdTIeAzMYfDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35abedccc84caeff207158bf2fb8a2c5b14cbf0e04313d4b91732f36acbc08c5","last_reissued_at":"2026-07-05T03:40:14.616232Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:40:14.616232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.06530","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:40:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OuMsIyXx1YL7Rxx4e87+UPSlqVAwpJpdhSTLkxikqCGw1h0nb0JHUNfl/Iz6M4atyIGah5ZxrIvrTSzkE9vUAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T17:20:15.660365Z"},"content_sha256":"110d1ec836230b6612851d3423c49f5cc99542eadc1d2137b7306560ebcd1b6e","schema_version":"1.0","event_id":"sha256:110d1ec836230b6612851d3423c49f5cc99542eadc1d2137b7306560ebcd1b6e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:GWV63TGIJSXP6IDRLC7S7OFCYW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Centroid-UNet: Detecting Centroids in Aerial Images","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Dan Tran, Kavinda Gunasekara, N. Lakmal Deshapriya, Sriram Reddy","submitted_at":"2021-12-13T10:04:51Z","abstract_excerpt":"In many applications of aerial/satellite image analysis (remote sensing), the generation of exact shapes of objects is a cumbersome task. In most remote sensing applications such as counting objects requires only location estimation of objects. Hence, locating object centroids in aerial/satellite images is an easy solution for tasks where the object's exact shape is not necessary. Thus, this study focuses on assessing the feasibility of using deep neural networks for locating object centroids in satellite images. Name of our model is Centroid-UNet. The Centroid-UNet model is based on classic U"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.06530","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2112.06530/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:40:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uJiijb7LvNGaThuv0lkfiyuk9+F3tvenoNhxLhfP4zUv7rbvfNBmvtVBwBzZjPP0jam3uLJhWDTDS+bCUWjuBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T17:20:15.660738Z"},"content_sha256":"79ee0a48a9ecbb52f51db3d745b542bd85c878d61a9c84aea3f3bbfc026441f2","schema_version":"1.0","event_id":"sha256:79ee0a48a9ecbb52f51db3d745b542bd85c878d61a9c84aea3f3bbfc026441f2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GWV63TGIJSXP6IDRLC7S7OFCYW/bundle.json","state_url":"https://pith.science/pith/GWV63TGIJSXP6IDRLC7S7OFCYW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GWV63TGIJSXP6IDRLC7S7OFCYW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-08T17:20:15Z","links":{"resolver":"https://pith.science/pith/GWV63TGIJSXP6IDRLC7S7OFCYW","bundle":"https://pith.science/pith/GWV63TGIJSXP6IDRLC7S7OFCYW/bundle.json","state":"https://pith.science/pith/GWV63TGIJSXP6IDRLC7S7OFCYW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GWV63TGIJSXP6IDRLC7S7OFCYW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:GWV63TGIJSXP6IDRLC7S7OFCYW","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"db735a241fa26c0059a394e29ddec1a219c10d6e750931b7e997dfd24fd2bd70","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-13T10:04:51Z","title_canon_sha256":"1c16a3b6f021334f01f294967cf861f1eb3947fbfdc25612eac31c8ebf56e048"},"schema_version":"1.0","source":{"id":"2112.06530","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.06530","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"arxiv_version","alias_value":"2112.06530v1","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.06530","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"pith_short_12","alias_value":"GWV63TGIJSXP","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"pith_short_16","alias_value":"GWV63TGIJSXP6IDR","created_at":"2026-07-05T03:40:14Z"},{"alias_kind":"pith_short_8","alias_value":"GWV63TGI","created_at":"2026-07-05T03:40:14Z"}],"graph_snapshots":[{"event_id":"sha256:79ee0a48a9ecbb52f51db3d745b542bd85c878d61a9c84aea3f3bbfc026441f2","target":"graph","created_at":"2026-07-05T03:40:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2112.06530/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In many applications of aerial/satellite image analysis (remote sensing), the generation of exact shapes of objects is a cumbersome task. In most remote sensing applications such as counting objects requires only location estimation of objects. Hence, locating object centroids in aerial/satellite images is an easy solution for tasks where the object's exact shape is not necessary. Thus, this study focuses on assessing the feasibility of using deep neural networks for locating object centroids in satellite images. Name of our model is Centroid-UNet. The Centroid-UNet model is based on classic U","authors_text":"Dan Tran, Kavinda Gunasekara, N. Lakmal Deshapriya, Sriram Reddy","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-13T10:04:51Z","title":"Centroid-UNet: Detecting Centroids in Aerial Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.06530","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:110d1ec836230b6612851d3423c49f5cc99542eadc1d2137b7306560ebcd1b6e","target":"record","created_at":"2026-07-05T03:40:14Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"db735a241fa26c0059a394e29ddec1a219c10d6e750931b7e997dfd24fd2bd70","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-12-13T10:04:51Z","title_canon_sha256":"1c16a3b6f021334f01f294967cf861f1eb3947fbfdc25612eac31c8ebf56e048"},"schema_version":"1.0","source":{"id":"2112.06530","kind":"arxiv","version":1}},"canonical_sha256":"35abedccc84caeff207158bf2fb8a2c5b14cbf0e04313d4b91732f36acbc08c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35abedccc84caeff207158bf2fb8a2c5b14cbf0e04313d4b91732f36acbc08c5","first_computed_at":"2026-07-05T03:40:14.616232Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:40:14.616232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V9/bO5cTwI6cxv7tSOayaP2auD49bdyPTZdfK97e21hceUSafKyi59qgCYD7sZ5iZ/yzA8vS96FdTIeAzMYfDw==","signature_status":"signed_v1","signed_at":"2026-07-05T03:40:14.616581Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.06530","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:110d1ec836230b6612851d3423c49f5cc99542eadc1d2137b7306560ebcd1b6e","sha256:79ee0a48a9ecbb52f51db3d745b542bd85c878d61a9c84aea3f3bbfc026441f2"],"state_sha256":"2de35ffaf2055a62980546238e1dfabe636a91e9a1c590a9c27cfdbccc9524b6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eBxfHXgMuxXHMlhROqRJ/MsnkKttB0zIc4ISM8oEHa5Uo2JcqDPHBYB6EZ6Mgb7zF0K+V2Fq9KgCApbZucoEBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T17:20:15.662751Z","bundle_sha256":"28b239d57afe344d8818d5d7c240724f1cc3f37bf8f57b8a330181df257ef18c"}}