{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:RMCA42T74RKVO6YPSYFDKKKXZU","short_pith_number":"pith:RMCA42T7","canonical_record":{"source":{"id":"1703.05870","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-17T02:24:26Z","cross_cats_sorted":[],"title_canon_sha256":"f2f8e66d1b1786851f0558effd7e37484949423e0dacd7c28409be6cf2ca47c5","abstract_canon_sha256":"f53ff413097e61726f12514abb31a9927448868286c5c3c3b08d72a24dc8a9e1"},"schema_version":"1.0"},"canonical_sha256":"8b040e6a7fe455577b0f960a352957cd095787fb2a1c852e37fe9d62ef688892","source":{"kind":"arxiv","id":"1703.05870","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.05870","created_at":"2026-05-18T00:47:56Z"},{"alias_kind":"arxiv_version","alias_value":"1703.05870v2","created_at":"2026-05-18T00:47:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.05870","created_at":"2026-05-18T00:47:56Z"},{"alias_kind":"pith_short_12","alias_value":"RMCA42T74RKV","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"RMCA42T74RKVO6YP","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"RMCA42T7","created_at":"2026-05-18T12:31:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:RMCA42T74RKVO6YPSYFDKKKXZU","target":"record","payload":{"canonical_record":{"source":{"id":"1703.05870","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-17T02:24:26Z","cross_cats_sorted":[],"title_canon_sha256":"f2f8e66d1b1786851f0558effd7e37484949423e0dacd7c28409be6cf2ca47c5","abstract_canon_sha256":"f53ff413097e61726f12514abb31a9927448868286c5c3c3b08d72a24dc8a9e1"},"schema_version":"1.0"},"canonical_sha256":"8b040e6a7fe455577b0f960a352957cd095787fb2a1c852e37fe9d62ef688892","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:47:56.303811Z","signature_b64":"+90fm/FMzEdaNHXGHgqqiu/1sDIaaE3JtxuyasdSEFnQu3o4aFXQlXaMSrD/pVZ/vQqFk8FFhbDtaOXlboF7Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8b040e6a7fe455577b0f960a352957cd095787fb2a1c852e37fe9d62ef688892","last_reissued_at":"2026-05-18T00:47:56.303251Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:47:56.303251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.05870","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:47:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uWt5N8szvm3VaporF4Bxbf3w0+XQiwczpaCOS7VO93X02mgDieGdynGaUfn12znlZS6UT716CNAlp6QzeKD2BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T12:36:59.180529Z"},"content_sha256":"ea681d920c335756cbef5ac0a3341a25ffe4297d055322f0a1da15d593e61d39","schema_version":"1.0","event_id":"sha256:ea681d920c335756cbef5ac0a3341a25ffe4297d055322f0a1da15d593e61d39"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:RMCA42T74RKVO6YPSYFDKKKXZU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haobin Wang, Lianwen Jin, Shuangping Huangm Zhuoyao Zhong, Shuye Zhang","submitted_at":"2017-03-17T02:24:26Z","abstract_excerpt":"Chinese font recognition (CFR) has gained significant attention in recent years. However, due to the sparsity of labeled font samples and the structural complexity of Chinese characters, CFR is still a challenging task. In this paper, a DropRegion method is proposed to generate a large number of stochastic variant font samples whose local regions are selectively disrupted and an inception font network (IFN) with two additional convolutional neural network (CNN) structure elements, i.e., a cascaded cross-channel parametric pooling (CCCP) and global average pooling, is designed. Because the dist"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.05870","kind":"arxiv","version":2},"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":"2026-05-18T00:47:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"10mw12B1zM2JSiSNKmvUvMvBedWtyDj6eZhYR+O2GTmGCh01eMhA5Zh+i+X/W9IFRbLa++hHukzcO0D6GhMPCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T12:36:59.180881Z"},"content_sha256":"4ab41a5561faae7de6f08b531ca33454a3952ed92fc81ba78a1ebbe71b33c012","schema_version":"1.0","event_id":"sha256:4ab41a5561faae7de6f08b531ca33454a3952ed92fc81ba78a1ebbe71b33c012"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RMCA42T74RKVO6YPSYFDKKKXZU/bundle.json","state_url":"https://pith.science/pith/RMCA42T74RKVO6YPSYFDKKKXZU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RMCA42T74RKVO6YPSYFDKKKXZU/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":"2026-06-04T12:36:59Z","links":{"resolver":"https://pith.science/pith/RMCA42T74RKVO6YPSYFDKKKXZU","bundle":"https://pith.science/pith/RMCA42T74RKVO6YPSYFDKKKXZU/bundle.json","state":"https://pith.science/pith/RMCA42T74RKVO6YPSYFDKKKXZU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RMCA42T74RKVO6YPSYFDKKKXZU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:RMCA42T74RKVO6YPSYFDKKKXZU","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":"f53ff413097e61726f12514abb31a9927448868286c5c3c3b08d72a24dc8a9e1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-17T02:24:26Z","title_canon_sha256":"f2f8e66d1b1786851f0558effd7e37484949423e0dacd7c28409be6cf2ca47c5"},"schema_version":"1.0","source":{"id":"1703.05870","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.05870","created_at":"2026-05-18T00:47:56Z"},{"alias_kind":"arxiv_version","alias_value":"1703.05870v2","created_at":"2026-05-18T00:47:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.05870","created_at":"2026-05-18T00:47:56Z"},{"alias_kind":"pith_short_12","alias_value":"RMCA42T74RKV","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_16","alias_value":"RMCA42T74RKVO6YP","created_at":"2026-05-18T12:31:39Z"},{"alias_kind":"pith_short_8","alias_value":"RMCA42T7","created_at":"2026-05-18T12:31:39Z"}],"graph_snapshots":[{"event_id":"sha256:4ab41a5561faae7de6f08b531ca33454a3952ed92fc81ba78a1ebbe71b33c012","target":"graph","created_at":"2026-05-18T00:47:56Z","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":"Chinese font recognition (CFR) has gained significant attention in recent years. However, due to the sparsity of labeled font samples and the structural complexity of Chinese characters, CFR is still a challenging task. In this paper, a DropRegion method is proposed to generate a large number of stochastic variant font samples whose local regions are selectively disrupted and an inception font network (IFN) with two additional convolutional neural network (CNN) structure elements, i.e., a cascaded cross-channel parametric pooling (CCCP) and global average pooling, is designed. Because the dist","authors_text":"Haobin Wang, Lianwen Jin, Shuangping Huangm Zhuoyao Zhong, Shuye Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-17T02:24:26Z","title":"DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.05870","kind":"arxiv","version":2},"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:ea681d920c335756cbef5ac0a3341a25ffe4297d055322f0a1da15d593e61d39","target":"record","created_at":"2026-05-18T00:47:56Z","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":"f53ff413097e61726f12514abb31a9927448868286c5c3c3b08d72a24dc8a9e1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-03-17T02:24:26Z","title_canon_sha256":"f2f8e66d1b1786851f0558effd7e37484949423e0dacd7c28409be6cf2ca47c5"},"schema_version":"1.0","source":{"id":"1703.05870","kind":"arxiv","version":2}},"canonical_sha256":"8b040e6a7fe455577b0f960a352957cd095787fb2a1c852e37fe9d62ef688892","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8b040e6a7fe455577b0f960a352957cd095787fb2a1c852e37fe9d62ef688892","first_computed_at":"2026-05-18T00:47:56.303251Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:47:56.303251Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+90fm/FMzEdaNHXGHgqqiu/1sDIaaE3JtxuyasdSEFnQu3o4aFXQlXaMSrD/pVZ/vQqFk8FFhbDtaOXlboF7Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:47:56.303811Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.05870","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea681d920c335756cbef5ac0a3341a25ffe4297d055322f0a1da15d593e61d39","sha256:4ab41a5561faae7de6f08b531ca33454a3952ed92fc81ba78a1ebbe71b33c012"],"state_sha256":"ecad52ecf180234e5fcd7a670ba617faa0935093be5fd4418c30a72e2ded22c3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pwF22FLBmp3c117KUdgDgBd9Kzdgxvd1Y6fgMzbibfmBLkM/VCGtOV6bnrxI6QyAZtGTxCKS58o4/TDBNhJ0Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T12:36:59.182767Z","bundle_sha256":"811594bdde4d829e66746eb5828cb6287af7919ff655cd0d71b5cbb3bbc580b3"}}