{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:2WY4INNKKAEXIZBAREHJSJCKNO","short_pith_number":"pith:2WY4INNK","canonical_record":{"source":{"id":"2412.16188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T17:55:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9842b01841fe55ad2907b9b0ea00be4c305cdefa7d7aed8e583670c011a9f611","abstract_canon_sha256":"8f1e53298602ccd96817ae6897006009df487522337c00425f56c06222551d50"},"schema_version":"1.0"},"canonical_sha256":"d5b1c435aa5009746420890e99244a6bb3ef3b260e5aedf38f7ef6aea952364a","source":{"kind":"arxiv","id":"2412.16188","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16188","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16188v1","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16188","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"pith_short_12","alias_value":"2WY4INNKKAEX","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"pith_short_16","alias_value":"2WY4INNKKAEXIZBA","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"pith_short_8","alias_value":"2WY4INNK","created_at":"2026-07-05T09:52:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:2WY4INNKKAEXIZBAREHJSJCKNO","target":"record","payload":{"canonical_record":{"source":{"id":"2412.16188","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T17:55:39Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9842b01841fe55ad2907b9b0ea00be4c305cdefa7d7aed8e583670c011a9f611","abstract_canon_sha256":"8f1e53298602ccd96817ae6897006009df487522337c00425f56c06222551d50"},"schema_version":"1.0"},"canonical_sha256":"d5b1c435aa5009746420890e99244a6bb3ef3b260e5aedf38f7ef6aea952364a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:52:42.815406Z","signature_b64":"w6gaO94pfeBZoTPZrvwzbLj9hYWT058fykK4XY4Q7e0YpShAM0ozjqp6yriSoXx94oH7xnaJNWn0/NPhHTZhBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d5b1c435aa5009746420890e99244a6bb3ef3b260e5aedf38f7ef6aea952364a","last_reissued_at":"2026-07-05T09:52:42.814928Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:52:42.814928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.16188","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":"2026-07-05T09:52:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VsbDooaYSagpI2Z5OrdhR4c1qvjgjxvti2+drhXi+I4N/EP/9b4P5OKV4/swCjymMYhB9phnaKSc3L+Avsu6CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:38:48.289522Z"},"content_sha256":"4c858ce72e1e433f8d24bfa1dd7122fd6c7f537e419abf91013c58325c756756","schema_version":"1.0","event_id":"sha256:4c858ce72e1e433f8d24bfa1dd7122fd6c7f537e419abf91013c58325c756756"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:2WY4INNKKAEXIZBAREHJSJCKNO","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Decade of Deep Learning: A Survey on The Magnificent Seven","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Dilshod Azizov, Kailong Zhao, Liang Li, Muhammad Arslan Manzoor, Shangsong Liang, Siwei Liu, Velibor Bojkovic, Wei Liu, Yingxu Wang, Yu Zhong, Zangir Iklassov, Zixiao Wang","submitted_at":"2024-12-13T17:55:39Z","abstract_excerpt":"Deep learning has fundamentally reshaped the landscape of artificial intelligence over the past decade, enabling remarkable achievements across diverse domains. At the heart of these developments lie multi-layered neural network architectures that excel at automatic feature extraction, leading to significant improvements in machine learning tasks. To demystify these advances and offer accessible guidance, we present a comprehensive overview of the most influential deep learning algorithms selected through a broad-based survey of the field. Our discussion centers on pivotal architectures, inclu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16188","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/2412.16188/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":"2026-07-05T09:52:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xoysyXqpGpwxBs/9JSsyMoTWTAlq+//QBtgj0OppPWOMk+ewIwy2DI05Vgk9GPYeVkvLyDauVh9IKGprVwKcCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T18:38:48.289900Z"},"content_sha256":"74bb46374b9493a9924037ecb88ec72c3057b083c8167a3ef4e6ef8dcb35a06a","schema_version":"1.0","event_id":"sha256:74bb46374b9493a9924037ecb88ec72c3057b083c8167a3ef4e6ef8dcb35a06a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2WY4INNKKAEXIZBAREHJSJCKNO/bundle.json","state_url":"https://pith.science/pith/2WY4INNKKAEXIZBAREHJSJCKNO/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2WY4INNKKAEXIZBAREHJSJCKNO/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":"2026-07-06T18:38:48Z","links":{"resolver":"https://pith.science/pith/2WY4INNKKAEXIZBAREHJSJCKNO","bundle":"https://pith.science/pith/2WY4INNKKAEXIZBAREHJSJCKNO/bundle.json","state":"https://pith.science/pith/2WY4INNKKAEXIZBAREHJSJCKNO/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2WY4INNKKAEXIZBAREHJSJCKNO/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:2WY4INNKKAEXIZBAREHJSJCKNO","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":"8f1e53298602ccd96817ae6897006009df487522337c00425f56c06222551d50","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T17:55:39Z","title_canon_sha256":"9842b01841fe55ad2907b9b0ea00be4c305cdefa7d7aed8e583670c011a9f611"},"schema_version":"1.0","source":{"id":"2412.16188","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.16188","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"arxiv_version","alias_value":"2412.16188v1","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.16188","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"pith_short_12","alias_value":"2WY4INNKKAEX","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"pith_short_16","alias_value":"2WY4INNKKAEXIZBA","created_at":"2026-07-05T09:52:42Z"},{"alias_kind":"pith_short_8","alias_value":"2WY4INNK","created_at":"2026-07-05T09:52:42Z"}],"graph_snapshots":[{"event_id":"sha256:74bb46374b9493a9924037ecb88ec72c3057b083c8167a3ef4e6ef8dcb35a06a","target":"graph","created_at":"2026-07-05T09:52:42Z","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/2412.16188/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning has fundamentally reshaped the landscape of artificial intelligence over the past decade, enabling remarkable achievements across diverse domains. At the heart of these developments lie multi-layered neural network architectures that excel at automatic feature extraction, leading to significant improvements in machine learning tasks. To demystify these advances and offer accessible guidance, we present a comprehensive overview of the most influential deep learning algorithms selected through a broad-based survey of the field. Our discussion centers on pivotal architectures, inclu","authors_text":"Dilshod Azizov, Kailong Zhao, Liang Li, Muhammad Arslan Manzoor, Shangsong Liang, Siwei Liu, Velibor Bojkovic, Wei Liu, Yingxu Wang, Yu Zhong, Zangir Iklassov, Zixiao Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T17:55:39Z","title":"A Decade of Deep Learning: A Survey on The Magnificent Seven"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.16188","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":"sha256:4c858ce72e1e433f8d24bfa1dd7122fd6c7f537e419abf91013c58325c756756","target":"record","created_at":"2026-07-05T09:52:42Z","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":"8f1e53298602ccd96817ae6897006009df487522337c00425f56c06222551d50","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-12-13T17:55:39Z","title_canon_sha256":"9842b01841fe55ad2907b9b0ea00be4c305cdefa7d7aed8e583670c011a9f611"},"schema_version":"1.0","source":{"id":"2412.16188","kind":"arxiv","version":1}},"canonical_sha256":"d5b1c435aa5009746420890e99244a6bb3ef3b260e5aedf38f7ef6aea952364a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d5b1c435aa5009746420890e99244a6bb3ef3b260e5aedf38f7ef6aea952364a","first_computed_at":"2026-07-05T09:52:42.814928Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:52:42.814928Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w6gaO94pfeBZoTPZrvwzbLj9hYWT058fykK4XY4Q7e0YpShAM0ozjqp6yriSoXx94oH7xnaJNWn0/NPhHTZhBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:52:42.815406Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.16188","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c858ce72e1e433f8d24bfa1dd7122fd6c7f537e419abf91013c58325c756756","sha256:74bb46374b9493a9924037ecb88ec72c3057b083c8167a3ef4e6ef8dcb35a06a"],"state_sha256":"1b83b9f221945eb870550ac2867c683bc7e3ff915a9e1d421d20ba5151eef0ac"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uQ7UrzJXNjhc4SSXLCPPoZNMGS9sW0Nt3vFiIA91O5Gbbn4rGceyYRB66c40L8lGWlsoRr4JR8fVlul6+TfMCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T18:38:48.291852Z","bundle_sha256":"f6d6b83a96fd11d0b57241c0ea04a2da2645228a2d93487503ac04d059b42874"}}