{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:Y36SVYWY2O3OIHYJRSD6EXV3ZT","short_pith_number":"pith:Y36SVYWY","canonical_record":{"source":{"id":"1804.09803","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T21:22:27Z","cross_cats_sorted":[],"title_canon_sha256":"5fff6a521d229fe2f75440c5a0d58ba9fe349c5b1c46aacab8f370141227d772","abstract_canon_sha256":"9ae5dcaf007d05b7c3b52d17ea1714087d010b4f7df596f00980950c643aad7c"},"schema_version":"1.0"},"canonical_sha256":"c6fd2ae2d8d3b6e41f098c87e25ebbccef3756d9a6b90d4f6c1a435bd3a14755","source":{"kind":"arxiv","id":"1804.09803","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.09803","created_at":"2026-05-18T00:17:27Z"},{"alias_kind":"arxiv_version","alias_value":"1804.09803v1","created_at":"2026-05-18T00:17:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09803","created_at":"2026-05-18T00:17:27Z"},{"alias_kind":"pith_short_12","alias_value":"Y36SVYWY2O3O","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"Y36SVYWY2O3OIHYJ","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"Y36SVYWY","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:Y36SVYWY2O3OIHYJRSD6EXV3ZT","target":"record","payload":{"canonical_record":{"source":{"id":"1804.09803","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T21:22:27Z","cross_cats_sorted":[],"title_canon_sha256":"5fff6a521d229fe2f75440c5a0d58ba9fe349c5b1c46aacab8f370141227d772","abstract_canon_sha256":"9ae5dcaf007d05b7c3b52d17ea1714087d010b4f7df596f00980950c643aad7c"},"schema_version":"1.0"},"canonical_sha256":"c6fd2ae2d8d3b6e41f098c87e25ebbccef3756d9a6b90d4f6c1a435bd3a14755","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:27.843018Z","signature_b64":"lO5m5bnSLV//C7PbEV8C6gI0rCstnZrEJYsCFF3s1FPCR1dbj30y5aJvcAjc/NPK6ZphcuDQWXCb+MAXGWU2Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c6fd2ae2d8d3b6e41f098c87e25ebbccef3756d9a6b90d4f6c1a435bd3a14755","last_reissued_at":"2026-05-18T00:17:27.842426Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:27.842426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1804.09803","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":"2026-05-18T00:17:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1bpOTYTqg+YU+6crqdc1OIi9EfHVlExuObTtCsOq/9R65k3enEDCmXFeJuQ3SmGUgi7+Bdv8UcCb1BYI0tq1Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T22:18:30.556481Z"},"content_sha256":"0be5ef011ec949b846e2cda6c8475b5c6ebb94184b3a1d4ace8c5639e7127e21","schema_version":"1.0","event_id":"sha256:0be5ef011ec949b846e2cda6c8475b5c6ebb94184b3a1d4ace8c5639e7127e21"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:Y36SVYWY2O3OIHYJRSD6EXV3ZT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Progressive Neural Networks for Image Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guanghan Ning, Hao Sun, Yang Li, Yigang Cen, Zhihai He, Zhiqun Zhao, Zhi Zhang","submitted_at":"2018-04-25T21:22:27Z","abstract_excerpt":"The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images. However, in practice, it is highly desirable to establish a progressive structure for deep neural networks which is able to adapt its inference process and complexity for images with different visual recognition complexity. In this work, we develop a multi-stage progressive structure with integrated confidence analysis and decision policy learning for deep neural networks. This new framework consists of a set of network units to be activated i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09803","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":"2026-05-18T00:17:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0bfmBQH9lUxCidgBxeIFPkR2h+gEkMg1vZv+2XTq7mZrEu5iKd/Rkn2SKyW7Y/+2rXzC7wXfen5mx3u49bLuDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T22:18:30.557100Z"},"content_sha256":"3db0371ab2f8327464248a61f2db121d76e97f98a8334a2eae16b639b5526d01","schema_version":"1.0","event_id":"sha256:3db0371ab2f8327464248a61f2db121d76e97f98a8334a2eae16b639b5526d01"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/Y36SVYWY2O3OIHYJRSD6EXV3ZT/bundle.json","state_url":"https://pith.science/pith/Y36SVYWY2O3OIHYJRSD6EXV3ZT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/Y36SVYWY2O3OIHYJRSD6EXV3ZT/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":"2026-06-05T22:18:30Z","links":{"resolver":"https://pith.science/pith/Y36SVYWY2O3OIHYJRSD6EXV3ZT","bundle":"https://pith.science/pith/Y36SVYWY2O3OIHYJRSD6EXV3ZT/bundle.json","state":"https://pith.science/pith/Y36SVYWY2O3OIHYJRSD6EXV3ZT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/Y36SVYWY2O3OIHYJRSD6EXV3ZT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:Y36SVYWY2O3OIHYJRSD6EXV3ZT","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":"9ae5dcaf007d05b7c3b52d17ea1714087d010b4f7df596f00980950c643aad7c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T21:22:27Z","title_canon_sha256":"5fff6a521d229fe2f75440c5a0d58ba9fe349c5b1c46aacab8f370141227d772"},"schema_version":"1.0","source":{"id":"1804.09803","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1804.09803","created_at":"2026-05-18T00:17:27Z"},{"alias_kind":"arxiv_version","alias_value":"1804.09803v1","created_at":"2026-05-18T00:17:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.09803","created_at":"2026-05-18T00:17:27Z"},{"alias_kind":"pith_short_12","alias_value":"Y36SVYWY2O3O","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"Y36SVYWY2O3OIHYJ","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"Y36SVYWY","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:3db0371ab2f8327464248a61f2db121d76e97f98a8334a2eae16b639b5526d01","target":"graph","created_at":"2026-05-18T00:17:27Z","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":"The inference structures and computational complexity of existing deep neural networks, once trained, are fixed and remain the same for all test images. However, in practice, it is highly desirable to establish a progressive structure for deep neural networks which is able to adapt its inference process and complexity for images with different visual recognition complexity. In this work, we develop a multi-stage progressive structure with integrated confidence analysis and decision policy learning for deep neural networks. This new framework consists of a set of network units to be activated i","authors_text":"Guanghan Ning, Hao Sun, Yang Li, Yigang Cen, Zhihai He, Zhiqun Zhao, Zhi Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T21:22:27Z","title":"Progressive Neural Networks for Image Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.09803","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":"sha256:0be5ef011ec949b846e2cda6c8475b5c6ebb94184b3a1d4ace8c5639e7127e21","target":"record","created_at":"2026-05-18T00:17:27Z","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":"9ae5dcaf007d05b7c3b52d17ea1714087d010b4f7df596f00980950c643aad7c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-04-25T21:22:27Z","title_canon_sha256":"5fff6a521d229fe2f75440c5a0d58ba9fe349c5b1c46aacab8f370141227d772"},"schema_version":"1.0","source":{"id":"1804.09803","kind":"arxiv","version":1}},"canonical_sha256":"c6fd2ae2d8d3b6e41f098c87e25ebbccef3756d9a6b90d4f6c1a435bd3a14755","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c6fd2ae2d8d3b6e41f098c87e25ebbccef3756d9a6b90d4f6c1a435bd3a14755","first_computed_at":"2026-05-18T00:17:27.842426Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:17:27.842426Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lO5m5bnSLV//C7PbEV8C6gI0rCstnZrEJYsCFF3s1FPCR1dbj30y5aJvcAjc/NPK6ZphcuDQWXCb+MAXGWU2Cg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:17:27.843018Z","signed_message":"canonical_sha256_bytes"},"source_id":"1804.09803","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0be5ef011ec949b846e2cda6c8475b5c6ebb94184b3a1d4ace8c5639e7127e21","sha256:3db0371ab2f8327464248a61f2db121d76e97f98a8334a2eae16b639b5526d01"],"state_sha256":"06e551f8d12edd13ff0385d89dfdf56bb3a9f4c7294771073f14bc8a368d7b36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hmbo/W7ohEiVvxSpaoA1yqplX5raScoX3+/VoxhXtdPvG04UBYY9+955C+QfOavLtgVAzPEZompnBmuD4aGfDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T22:18:30.561033Z","bundle_sha256":"30cc18763cf802fb9a611be8ccb238f536e61620ff428710c4683ed2e81686ba"}}