{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:YYQOYR2W27K433IQCFY7IB2PWH","short_pith_number":"pith:YYQOYR2W","canonical_record":{"source":{"id":"1803.06253","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T14:48:58Z","cross_cats_sorted":[],"title_canon_sha256":"8badea3ee67b1503b2e668e1d486a8d7a45da9e5fd894c914916e45e4a559cb5","abstract_canon_sha256":"2ef1b65c8239445a68bb010d048c6e281cd3a00ed1286b151fd541637355fd29"},"schema_version":"1.0"},"canonical_sha256":"c620ec4756d7d5cded101171f4074fb1f8ada4f90e5ad882c8e90969654f948e","source":{"kind":"arxiv","id":"1803.06253","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06253","created_at":"2026-05-18T00:20:50Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06253v1","created_at":"2026-05-18T00:20:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06253","created_at":"2026-05-18T00:20:50Z"},{"alias_kind":"pith_short_12","alias_value":"YYQOYR2W27K4","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YYQOYR2W27K433IQ","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YYQOYR2W","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:YYQOYR2W27K433IQCFY7IB2PWH","target":"record","payload":{"canonical_record":{"source":{"id":"1803.06253","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T14:48:58Z","cross_cats_sorted":[],"title_canon_sha256":"8badea3ee67b1503b2e668e1d486a8d7a45da9e5fd894c914916e45e4a559cb5","abstract_canon_sha256":"2ef1b65c8239445a68bb010d048c6e281cd3a00ed1286b151fd541637355fd29"},"schema_version":"1.0"},"canonical_sha256":"c620ec4756d7d5cded101171f4074fb1f8ada4f90e5ad882c8e90969654f948e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:50.120859Z","signature_b64":"QBZBXD5FY4ZSGj3uLzebCN3d0JKh+qgeJIhRcaV+/vtAtkW+vqc6LSFl+Ni3rFHPOksnMg94FoxEBUH7AyqsBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c620ec4756d7d5cded101171f4074fb1f8ada4f90e5ad882c8e90969654f948e","last_reissued_at":"2026-05-18T00:20:50.120208Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:50.120208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.06253","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":"2026-05-18T00:20:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qDUSVe49Xi/XaEGnZP1x4y1Zj9fKZRircjhlaa3S/YoF4yQqXxXn3sciZkThjJFuOaRhHYfYpKDnwgUUyInkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:57:25.413559Z"},"content_sha256":"b7d4f8205313d2f4239e817c52f4d1ca5c0208ecbf401b2c8c6b48c5c89becac","schema_version":"1.0","event_id":"sha256:b7d4f8205313d2f4239e817c52f4d1ca5c0208ecbf401b2c8c6b48c5c89becac"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:YYQOYR2W27K433IQCFY7IB2PWH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Benjamin Kellenberger, Devis Tuia, Diego Marcos, Michele Volpi","submitted_at":"2018-03-16T14:48:58Z","abstract_excerpt":"In remote sensing images, the absolute orientation of objects is arbitrary. Depending on an object's orientation and on a sensor's flight path, objects of the same semantic class can be observed in different orientations in the same image. Equivariance to rotation, in this context understood as responding with a rotated semantic label map when subject to a rotation of the input image, is therefore a very desirable feature, in particular for high capacity models, such as Convolutional Neural Networks (CNNs). If rotation equivariance is encoded in the network, the model is confronted with a simp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06253","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":""},"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":"2026-05-18T00:20:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zpPMKr7YSq4W+13bONzmkLecGhwMFl4tN/2nLaRsmihxMh/xVsKFG6d8a7BZJzh8J/pARatW8iIVqHtBA/vsDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T21:57:25.414041Z"},"content_sha256":"0ec3c008f5810d19a011fe05f96296c9c530a8f1a96690d645ae1e19f5b8c6a2","schema_version":"1.0","event_id":"sha256:0ec3c008f5810d19a011fe05f96296c9c530a8f1a96690d645ae1e19f5b8c6a2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YYQOYR2W27K433IQCFY7IB2PWH/bundle.json","state_url":"https://pith.science/pith/YYQOYR2W27K433IQCFY7IB2PWH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YYQOYR2W27K433IQCFY7IB2PWH/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":"2026-05-25T21:57:25Z","links":{"resolver":"https://pith.science/pith/YYQOYR2W27K433IQCFY7IB2PWH","bundle":"https://pith.science/pith/YYQOYR2W27K433IQCFY7IB2PWH/bundle.json","state":"https://pith.science/pith/YYQOYR2W27K433IQCFY7IB2PWH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YYQOYR2W27K433IQCFY7IB2PWH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:YYQOYR2W27K433IQCFY7IB2PWH","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":"2ef1b65c8239445a68bb010d048c6e281cd3a00ed1286b151fd541637355fd29","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T14:48:58Z","title_canon_sha256":"8badea3ee67b1503b2e668e1d486a8d7a45da9e5fd894c914916e45e4a559cb5"},"schema_version":"1.0","source":{"id":"1803.06253","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06253","created_at":"2026-05-18T00:20:50Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06253v1","created_at":"2026-05-18T00:20:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06253","created_at":"2026-05-18T00:20:50Z"},{"alias_kind":"pith_short_12","alias_value":"YYQOYR2W27K4","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"YYQOYR2W27K433IQ","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"YYQOYR2W","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:0ec3c008f5810d19a011fe05f96296c9c530a8f1a96690d645ae1e19f5b8c6a2","target":"graph","created_at":"2026-05-18T00:20:50Z","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"},"paper":{"abstract_excerpt":"In remote sensing images, the absolute orientation of objects is arbitrary. Depending on an object's orientation and on a sensor's flight path, objects of the same semantic class can be observed in different orientations in the same image. Equivariance to rotation, in this context understood as responding with a rotated semantic label map when subject to a rotation of the input image, is therefore a very desirable feature, in particular for high capacity models, such as Convolutional Neural Networks (CNNs). If rotation equivariance is encoded in the network, the model is confronted with a simp","authors_text":"Benjamin Kellenberger, Devis Tuia, Diego Marcos, Michele Volpi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T14:48:58Z","title":"Land cover mapping at very high resolution with rotation equivariant CNNs: towards small yet accurate models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06253","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:b7d4f8205313d2f4239e817c52f4d1ca5c0208ecbf401b2c8c6b48c5c89becac","target":"record","created_at":"2026-05-18T00:20:50Z","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":"2ef1b65c8239445a68bb010d048c6e281cd3a00ed1286b151fd541637355fd29","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T14:48:58Z","title_canon_sha256":"8badea3ee67b1503b2e668e1d486a8d7a45da9e5fd894c914916e45e4a559cb5"},"schema_version":"1.0","source":{"id":"1803.06253","kind":"arxiv","version":1}},"canonical_sha256":"c620ec4756d7d5cded101171f4074fb1f8ada4f90e5ad882c8e90969654f948e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c620ec4756d7d5cded101171f4074fb1f8ada4f90e5ad882c8e90969654f948e","first_computed_at":"2026-05-18T00:20:50.120208Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:50.120208Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QBZBXD5FY4ZSGj3uLzebCN3d0JKh+qgeJIhRcaV+/vtAtkW+vqc6LSFl+Ni3rFHPOksnMg94FoxEBUH7AyqsBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:50.120859Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.06253","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b7d4f8205313d2f4239e817c52f4d1ca5c0208ecbf401b2c8c6b48c5c89becac","sha256:0ec3c008f5810d19a011fe05f96296c9c530a8f1a96690d645ae1e19f5b8c6a2"],"state_sha256":"34cfb27c3788b57c4f0ed475fedfb14e331e7511bc5b4dc3f7f3d2e3d4ea2198"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NIbtcqOx7NOmLE8Lk3yyw1SJPxz48OF+2wZEE9ocBXzuE6f8iJUeYap2a61M7myerJj4lpOP7gl9/fmOnyVMDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T21:57:25.417709Z","bundle_sha256":"0e27017fcaf258b81e64df0e55d7c374395639c27d49a53af68af3011ab6f6ec"}}