{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:BCEFL7B65XLVUHFEBBFOZO36HU","short_pith_number":"pith:BCEFL7B6","canonical_record":{"source":{"id":"1604.05816","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-20T04:43:20Z","cross_cats_sorted":[],"title_canon_sha256":"b499521de9b3cc2f8462c2ffde4fcf8e6dd2a2168b9f7233767e3a71bb029ef9","abstract_canon_sha256":"156ab2e852fca1579cae723c4564249000128fa9268df573ed041a1c5bed8846"},"schema_version":"1.0"},"canonical_sha256":"088855fc3eedd75a1ca4084aecbb7e3d3ca3802f7706a4a2f24ec71084df7b2c","source":{"kind":"arxiv","id":"1604.05816","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.05816","created_at":"2026-05-18T00:23:21Z"},{"alias_kind":"arxiv_version","alias_value":"1604.05816v3","created_at":"2026-05-18T00:23:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.05816","created_at":"2026-05-18T00:23:21Z"},{"alias_kind":"pith_short_12","alias_value":"BCEFL7B65XLV","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"BCEFL7B65XLVUHFE","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"BCEFL7B6","created_at":"2026-05-18T12:30:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:BCEFL7B65XLVUHFEBBFOZO36HU","target":"record","payload":{"canonical_record":{"source":{"id":"1604.05816","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-20T04:43:20Z","cross_cats_sorted":[],"title_canon_sha256":"b499521de9b3cc2f8462c2ffde4fcf8e6dd2a2168b9f7233767e3a71bb029ef9","abstract_canon_sha256":"156ab2e852fca1579cae723c4564249000128fa9268df573ed041a1c5bed8846"},"schema_version":"1.0"},"canonical_sha256":"088855fc3eedd75a1ca4084aecbb7e3d3ca3802f7706a4a2f24ec71084df7b2c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:23:21.657068Z","signature_b64":"HJbgyNVX2fonhofRQh1JBNeyFcqVg7lU4j8W/pBFPorhKJXUxxUX0hf0wjpg15q+K2ULyBJ2uz0QL+cna2pICA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"088855fc3eedd75a1ca4084aecbb7e3d3ca3802f7706a4a2f24ec71084df7b2c","last_reissued_at":"2026-05-18T00:23:21.656360Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:23:21.656360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1604.05816","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:23:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1hA+krtPkMl4IF/J9inhmCksI1tkEvak6BjMsbhOpToa4RqTbStToEvEdhk0Yon4AWyBNn9doiJ6dSGFYtzkBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T14:01:43.966213Z"},"content_sha256":"abe28156459903c03e3798cf222356c0471d93a0301dfe53e2d470adf192b7ef","schema_version":"1.0","event_id":"sha256:abe28156459903c03e3798cf222356c0471d93a0301dfe53e2d470adf192b7ef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:BCEFL7B65XLVUHFEBBFOZO36HU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongwei Li, Jianguo Zhang, Wei-Shi Zheng","submitted_at":"2016-04-20T04:43:20Z","abstract_excerpt":"Automatic classification of Human Epithelial Type-2 (HEp-2) cells staining patterns is an important and yet a challenging problem. Although both shallow and deep methods have been applied, the study of deep convolutional networks (CNNs) on this topic is shallow to date, thus failed to claim its top position for this problem. In this paper, we propose a novel study of using CNNs for HEp-2 cells classification focusing on cross-specimen analysis, a key evaluation for generalization. For the first time, our study reveals several key factors of using CNNs for HEp-2 cells classification. Our propos"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.05816","kind":"arxiv","version":3},"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":"2026-05-18T00:23:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jC/IdGHFes+ZTQKM6TSza1/qKQIhVFu8Juq2Hyupd8+WoVj1GaDdxPe3OPy1s1+giQRPeZMMkNTwqdOWqcakDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T14:01:43.966878Z"},"content_sha256":"365fa9e1a1d0d912f286911e20573c89dc69542d55cf60e1b8f27514291b470d","schema_version":"1.0","event_id":"sha256:365fa9e1a1d0d912f286911e20573c89dc69542d55cf60e1b8f27514291b470d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BCEFL7B65XLVUHFEBBFOZO36HU/bundle.json","state_url":"https://pith.science/pith/BCEFL7B65XLVUHFEBBFOZO36HU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BCEFL7B65XLVUHFEBBFOZO36HU/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":"2026-05-30T14:01:43Z","links":{"resolver":"https://pith.science/pith/BCEFL7B65XLVUHFEBBFOZO36HU","bundle":"https://pith.science/pith/BCEFL7B65XLVUHFEBBFOZO36HU/bundle.json","state":"https://pith.science/pith/BCEFL7B65XLVUHFEBBFOZO36HU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BCEFL7B65XLVUHFEBBFOZO36HU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:BCEFL7B65XLVUHFEBBFOZO36HU","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":"156ab2e852fca1579cae723c4564249000128fa9268df573ed041a1c5bed8846","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-20T04:43:20Z","title_canon_sha256":"b499521de9b3cc2f8462c2ffde4fcf8e6dd2a2168b9f7233767e3a71bb029ef9"},"schema_version":"1.0","source":{"id":"1604.05816","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1604.05816","created_at":"2026-05-18T00:23:21Z"},{"alias_kind":"arxiv_version","alias_value":"1604.05816v3","created_at":"2026-05-18T00:23:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1604.05816","created_at":"2026-05-18T00:23:21Z"},{"alias_kind":"pith_short_12","alias_value":"BCEFL7B65XLV","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"BCEFL7B65XLVUHFE","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"BCEFL7B6","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:365fa9e1a1d0d912f286911e20573c89dc69542d55cf60e1b8f27514291b470d","target":"graph","created_at":"2026-05-18T00:23:21Z","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":"Automatic classification of Human Epithelial Type-2 (HEp-2) cells staining patterns is an important and yet a challenging problem. Although both shallow and deep methods have been applied, the study of deep convolutional networks (CNNs) on this topic is shallow to date, thus failed to claim its top position for this problem. In this paper, we propose a novel study of using CNNs for HEp-2 cells classification focusing on cross-specimen analysis, a key evaluation for generalization. For the first time, our study reveals several key factors of using CNNs for HEp-2 cells classification. Our propos","authors_text":"Hongwei Li, Jianguo Zhang, Wei-Shi Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-20T04:43:20Z","title":"Deep CNNs for HEp-2 Cells Classification : A Cross-specimen Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1604.05816","kind":"arxiv","version":3},"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:abe28156459903c03e3798cf222356c0471d93a0301dfe53e2d470adf192b7ef","target":"record","created_at":"2026-05-18T00:23:21Z","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":"156ab2e852fca1579cae723c4564249000128fa9268df573ed041a1c5bed8846","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-04-20T04:43:20Z","title_canon_sha256":"b499521de9b3cc2f8462c2ffde4fcf8e6dd2a2168b9f7233767e3a71bb029ef9"},"schema_version":"1.0","source":{"id":"1604.05816","kind":"arxiv","version":3}},"canonical_sha256":"088855fc3eedd75a1ca4084aecbb7e3d3ca3802f7706a4a2f24ec71084df7b2c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"088855fc3eedd75a1ca4084aecbb7e3d3ca3802f7706a4a2f24ec71084df7b2c","first_computed_at":"2026-05-18T00:23:21.656360Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:23:21.656360Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HJbgyNVX2fonhofRQh1JBNeyFcqVg7lU4j8W/pBFPorhKJXUxxUX0hf0wjpg15q+K2ULyBJ2uz0QL+cna2pICA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:23:21.657068Z","signed_message":"canonical_sha256_bytes"},"source_id":"1604.05816","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:abe28156459903c03e3798cf222356c0471d93a0301dfe53e2d470adf192b7ef","sha256:365fa9e1a1d0d912f286911e20573c89dc69542d55cf60e1b8f27514291b470d"],"state_sha256":"92ce3829a4c43144406e830c35442d1cd3882382ef64ebe718017fba8c7bcd4e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sfp1PGo2WCNlvIbShIYRrVM7xkiTfoW2VEpzCYXfBC1iqVBG3ckXIUXm2oNjV4pf1+BC+gU3kbQ0ZhbIbSsnAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T14:01:43.970420Z","bundle_sha256":"97f3f345bf2b5d89ad86cdd009864b3327b7a47137c50054f2885fd9f751c458"}}