{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:TJQUGBSX756WE2YBFW2AD6QUM3","short_pith_number":"pith:TJQUGBSX","canonical_record":{"source":{"id":"2310.08429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:53:24Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"29ec89e56d66ec7d2fed1eec9fc3dda628b32d1891fe81c954a99a183bc487af","abstract_canon_sha256":"8c088fb305c4fd95cedd0b858a5ac5d24fbfb9ee43350c52d97aa32e87a67c89"},"schema_version":"1.0"},"canonical_sha256":"9a61430657ff7d626b012db401fa1466cc1f656f49fc7d7012fe36de4747abc5","source":{"kind":"arxiv","id":"2310.08429","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08429","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08429v1","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08429","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"pith_short_12","alias_value":"TJQUGBSX756W","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"pith_short_16","alias_value":"TJQUGBSX756WE2YB","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"pith_short_8","alias_value":"TJQUGBSX","created_at":"2026-07-05T07:00:15Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:TJQUGBSX756WE2YBFW2AD6QUM3","target":"record","payload":{"canonical_record":{"source":{"id":"2310.08429","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:53:24Z","cross_cats_sorted":["cs.NE"],"title_canon_sha256":"29ec89e56d66ec7d2fed1eec9fc3dda628b32d1891fe81c954a99a183bc487af","abstract_canon_sha256":"8c088fb305c4fd95cedd0b858a5ac5d24fbfb9ee43350c52d97aa32e87a67c89"},"schema_version":"1.0"},"canonical_sha256":"9a61430657ff7d626b012db401fa1466cc1f656f49fc7d7012fe36de4747abc5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:15.429601Z","signature_b64":"BR48fSAS7OzEEkNyFijxa1UJJu8tO4TdisNVW9v5WH+MZtfDfTZE3OU2ZTqhGlZbHgOcNu4EIA6gyw8ojP85Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9a61430657ff7d626b012db401fa1466cc1f656f49fc7d7012fe36de4747abc5","last_reissued_at":"2026-07-05T07:00:15.429124Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:15.429124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.08429","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":"2026-07-05T07:00:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PzSiDuPFoBjJ4RsCdAqR3IZ+qgN+CeoUMQaiM01hH59oyFXDv1ySf7jmaRNtzAHmzyhq4Ko0k+LGOi2VNxwfBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:39:45.528772Z"},"content_sha256":"db62599d5ce6433d551196c441123b595c94e2b62874bed0ad5dc7b03d35a2d6","schema_version":"1.0","event_id":"sha256:db62599d5ce6433d551196c441123b595c94e2b62874bed0ad5dc7b03d35a2d6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:TJQUGBSX756WE2YBFW2AD6QUM3","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.NE"],"primary_cat":"cs.CV","authors_text":"Aurelio Fernandez-Bariviera, Facundo Manuel Quiroga, Franco Ronchetti, Laura Lanzarini","submitted_at":"2023-10-12T15:53:24Z","abstract_excerpt":"Convolutional Neural Networks (CNN) offer state of the art performance in various computer vision tasks. Many of those tasks require different subtypes of affine invariances (scale, rotational, translational) to image transformations. Convolutional layers are translation equivariant by design, but in their basic form lack invariances. In this work we investigate how best to include rotational invariance in a CNN for image classification. Our experiments show that networks trained with data augmentation alone can classify rotated images nearly as well as in the normal unrotated case; this incre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08429","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/2310.08429/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":"2026-07-05T07:00:15Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rtKygRRhhJefXOpMvZYjhMjiRJPuE86VDFl7JBNGsPGjhA2jJ05kgSW2TNoS05iA8tqxpQYiJsEMKirTwjtGBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T07:39:45.529175Z"},"content_sha256":"e3d0b91dc8f0d1b9a84c15c1894c6020095eb60d7b394a2ef3f54ec40371c2d1","schema_version":"1.0","event_id":"sha256:e3d0b91dc8f0d1b9a84c15c1894c6020095eb60d7b394a2ef3f54ec40371c2d1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TJQUGBSX756WE2YBFW2AD6QUM3/bundle.json","state_url":"https://pith.science/pith/TJQUGBSX756WE2YBFW2AD6QUM3/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TJQUGBSX756WE2YBFW2AD6QUM3/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":"2026-07-08T07:39:45Z","links":{"resolver":"https://pith.science/pith/TJQUGBSX756WE2YBFW2AD6QUM3","bundle":"https://pith.science/pith/TJQUGBSX756WE2YBFW2AD6QUM3/bundle.json","state":"https://pith.science/pith/TJQUGBSX756WE2YBFW2AD6QUM3/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TJQUGBSX756WE2YBFW2AD6QUM3/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TJQUGBSX756WE2YBFW2AD6QUM3","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":"8c088fb305c4fd95cedd0b858a5ac5d24fbfb9ee43350c52d97aa32e87a67c89","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:53:24Z","title_canon_sha256":"29ec89e56d66ec7d2fed1eec9fc3dda628b32d1891fe81c954a99a183bc487af"},"schema_version":"1.0","source":{"id":"2310.08429","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.08429","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"arxiv_version","alias_value":"2310.08429v1","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.08429","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"pith_short_12","alias_value":"TJQUGBSX756W","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"pith_short_16","alias_value":"TJQUGBSX756WE2YB","created_at":"2026-07-05T07:00:15Z"},{"alias_kind":"pith_short_8","alias_value":"TJQUGBSX","created_at":"2026-07-05T07:00:15Z"}],"graph_snapshots":[{"event_id":"sha256:e3d0b91dc8f0d1b9a84c15c1894c6020095eb60d7b394a2ef3f54ec40371c2d1","target":"graph","created_at":"2026-07-05T07:00:15Z","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/2310.08429/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Convolutional Neural Networks (CNN) offer state of the art performance in various computer vision tasks. Many of those tasks require different subtypes of affine invariances (scale, rotational, translational) to image transformations. Convolutional layers are translation equivariant by design, but in their basic form lack invariances. In this work we investigate how best to include rotational invariance in a CNN for image classification. Our experiments show that networks trained with data augmentation alone can classify rotated images nearly as well as in the normal unrotated case; this incre","authors_text":"Aurelio Fernandez-Bariviera, Facundo Manuel Quiroga, Franco Ronchetti, Laura Lanzarini","cross_cats":["cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:53:24Z","title":"Revisiting Data Augmentation for Rotational Invariance in Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.08429","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:db62599d5ce6433d551196c441123b595c94e2b62874bed0ad5dc7b03d35a2d6","target":"record","created_at":"2026-07-05T07:00:15Z","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":"8c088fb305c4fd95cedd0b858a5ac5d24fbfb9ee43350c52d97aa32e87a67c89","cross_cats_sorted":["cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-10-12T15:53:24Z","title_canon_sha256":"29ec89e56d66ec7d2fed1eec9fc3dda628b32d1891fe81c954a99a183bc487af"},"schema_version":"1.0","source":{"id":"2310.08429","kind":"arxiv","version":1}},"canonical_sha256":"9a61430657ff7d626b012db401fa1466cc1f656f49fc7d7012fe36de4747abc5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9a61430657ff7d626b012db401fa1466cc1f656f49fc7d7012fe36de4747abc5","first_computed_at":"2026-07-05T07:00:15.429124Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:00:15.429124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BR48fSAS7OzEEkNyFijxa1UJJu8tO4TdisNVW9v5WH+MZtfDfTZE3OU2ZTqhGlZbHgOcNu4EIA6gyw8ojP85Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:00:15.429601Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.08429","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:db62599d5ce6433d551196c441123b595c94e2b62874bed0ad5dc7b03d35a2d6","sha256:e3d0b91dc8f0d1b9a84c15c1894c6020095eb60d7b394a2ef3f54ec40371c2d1"],"state_sha256":"99ac73c653498e6b38b53a18bb291dfa7e22c588d1cbb64952587df1a23227dd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"roTyuy6V9wPPsW6iKOmWjlOAX4Zkaad6BMtGWxdzFsM5ug1s37pG8EM8NepR2Us5Kw44R+gm4HLJiGF2hbCTAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T07:39:45.531910Z","bundle_sha256":"827dea46fcdd7302c0c6ad2ed8fe3aec68fdc6d5b429706e00a150d128c8ed02"}}