{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:VDYQWDMKH3UWSIXKU2I6WEQATM","short_pith_number":"pith:VDYQWDMK","canonical_record":{"source":{"id":"1903.04147","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T07:13:31Z","cross_cats_sorted":[],"title_canon_sha256":"eae7f73c6795a3c178d77c6d0862690a8a06f74ba508e252ab7eca1aab535e53","abstract_canon_sha256":"af7ebd5cc5092538c98f92ab94f95178d9d70b4c81465bb9df1780c29c91df62"},"schema_version":"1.0"},"canonical_sha256":"a8f10b0d8a3ee96922eaa691eb12009b2dd7738fab6229a33dae96f0d177fc00","source":{"kind":"arxiv","id":"1903.04147","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04147","created_at":"2026-05-17T23:51:36Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04147v1","created_at":"2026-05-17T23:51:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04147","created_at":"2026-05-17T23:51:36Z"},{"alias_kind":"pith_short_12","alias_value":"VDYQWDMKH3UW","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"VDYQWDMKH3UWSIXK","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"VDYQWDMK","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:VDYQWDMKH3UWSIXKU2I6WEQATM","target":"record","payload":{"canonical_record":{"source":{"id":"1903.04147","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T07:13:31Z","cross_cats_sorted":[],"title_canon_sha256":"eae7f73c6795a3c178d77c6d0862690a8a06f74ba508e252ab7eca1aab535e53","abstract_canon_sha256":"af7ebd5cc5092538c98f92ab94f95178d9d70b4c81465bb9df1780c29c91df62"},"schema_version":"1.0"},"canonical_sha256":"a8f10b0d8a3ee96922eaa691eb12009b2dd7738fab6229a33dae96f0d177fc00","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:51:36.377509Z","signature_b64":"WG9P+p0kiZnwSY/ruPUexh0dNLjTGUsP26dj+bwLjdQWe0gL+Pz7dKoJo83uEMCyHTF7VzZLEv1642weeSo2DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a8f10b0d8a3ee96922eaa691eb12009b2dd7738fab6229a33dae96f0d177fc00","last_reissued_at":"2026-05-17T23:51:36.376865Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:51:36.376865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1903.04147","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":"2026-05-17T23:51:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l1cuCtnAOoW6hi8cZHgX2PanvFv4e7BIZO8mvofQneYlvp0Uk36gMTvzqjT/8k41YW8QbWp4Hoh6FvhUyElvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:40:38.805776Z"},"content_sha256":"9727154342241415dc84d89339c69008cba2cb28647f0b28aab46814a55ed61a","schema_version":"1.0","event_id":"sha256:9727154342241415dc84d89339c69008cba2cb28647f0b28aab46814a55ed61a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:VDYQWDMKH3UWSIXKU2I6WEQATM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MSFD:Multi-Scale Receptive Field Face Detector","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hongliang Bai, Qiushan Guo, Yuan Dong, Yu Guo","submitted_at":"2019-03-11T07:13:31Z","abstract_excerpt":"We aim to study the multi-scale receptive fields of a single convolutional neural network to detect faces of varied scales. This paper presents our Multi-Scale Receptive Field Face Detector (MSFD), which has superior performance on detecting faces at different scales and enjoys real-time inference speed. MSFD agglomerates context and texture by hierarchical structure. More additional information and rich receptive field bring significant improvement but generate marginal time consumption. We simultaneously propose an anchor assignment strategy which can cover faces with a wide range of scales "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04147","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":"2026-05-17T23:51:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xoAt23bbhcn5cr5SjNp+Nye3Ljp6GaYPWfcP9tr83xIo59f8cUaYrsDLs2nHYWfrhqNbn9qBeRdVeoKX1pWBAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:40:38.806505Z"},"content_sha256":"e238469b8297bcfb31e0af9883bcb0a02b16804bf022011b991d48384fe483be","schema_version":"1.0","event_id":"sha256:e238469b8297bcfb31e0af9883bcb0a02b16804bf022011b991d48384fe483be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VDYQWDMKH3UWSIXKU2I6WEQATM/bundle.json","state_url":"https://pith.science/pith/VDYQWDMKH3UWSIXKU2I6WEQATM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VDYQWDMKH3UWSIXKU2I6WEQATM/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":"2026-05-25T20:40:38Z","links":{"resolver":"https://pith.science/pith/VDYQWDMKH3UWSIXKU2I6WEQATM","bundle":"https://pith.science/pith/VDYQWDMKH3UWSIXKU2I6WEQATM/bundle.json","state":"https://pith.science/pith/VDYQWDMKH3UWSIXKU2I6WEQATM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VDYQWDMKH3UWSIXKU2I6WEQATM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:VDYQWDMKH3UWSIXKU2I6WEQATM","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":"af7ebd5cc5092538c98f92ab94f95178d9d70b4c81465bb9df1780c29c91df62","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T07:13:31Z","title_canon_sha256":"eae7f73c6795a3c178d77c6d0862690a8a06f74ba508e252ab7eca1aab535e53"},"schema_version":"1.0","source":{"id":"1903.04147","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1903.04147","created_at":"2026-05-17T23:51:36Z"},{"alias_kind":"arxiv_version","alias_value":"1903.04147v1","created_at":"2026-05-17T23:51:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1903.04147","created_at":"2026-05-17T23:51:36Z"},{"alias_kind":"pith_short_12","alias_value":"VDYQWDMKH3UW","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"VDYQWDMKH3UWSIXK","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"VDYQWDMK","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:e238469b8297bcfb31e0af9883bcb0a02b16804bf022011b991d48384fe483be","target":"graph","created_at":"2026-05-17T23:51:36Z","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":"We aim to study the multi-scale receptive fields of a single convolutional neural network to detect faces of varied scales. This paper presents our Multi-Scale Receptive Field Face Detector (MSFD), which has superior performance on detecting faces at different scales and enjoys real-time inference speed. MSFD agglomerates context and texture by hierarchical structure. More additional information and rich receptive field bring significant improvement but generate marginal time consumption. We simultaneously propose an anchor assignment strategy which can cover faces with a wide range of scales ","authors_text":"Hongliang Bai, Qiushan Guo, Yuan Dong, Yu Guo","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T07:13:31Z","title":"MSFD:Multi-Scale Receptive Field Face Detector"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1903.04147","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":"sha256:9727154342241415dc84d89339c69008cba2cb28647f0b28aab46814a55ed61a","target":"record","created_at":"2026-05-17T23:51:36Z","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":"af7ebd5cc5092538c98f92ab94f95178d9d70b4c81465bb9df1780c29c91df62","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-03-11T07:13:31Z","title_canon_sha256":"eae7f73c6795a3c178d77c6d0862690a8a06f74ba508e252ab7eca1aab535e53"},"schema_version":"1.0","source":{"id":"1903.04147","kind":"arxiv","version":1}},"canonical_sha256":"a8f10b0d8a3ee96922eaa691eb12009b2dd7738fab6229a33dae96f0d177fc00","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a8f10b0d8a3ee96922eaa691eb12009b2dd7738fab6229a33dae96f0d177fc00","first_computed_at":"2026-05-17T23:51:36.376865Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:51:36.376865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WG9P+p0kiZnwSY/ruPUexh0dNLjTGUsP26dj+bwLjdQWe0gL+Pz7dKoJo83uEMCyHTF7VzZLEv1642weeSo2DA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:51:36.377509Z","signed_message":"canonical_sha256_bytes"},"source_id":"1903.04147","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9727154342241415dc84d89339c69008cba2cb28647f0b28aab46814a55ed61a","sha256:e238469b8297bcfb31e0af9883bcb0a02b16804bf022011b991d48384fe483be"],"state_sha256":"e51f0de8d1a8d3a861790c9564cb84fd6d96364767bae15640234e3379acf319"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ea7dJCi5RiEf0QC+i3PpXhrovt46RcIw3uE04jgk3Em+7xdM/XfDAf0X/S6PnFo21NWnyF3JKDnW4ppeToEoDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T20:40:38.810985Z","bundle_sha256":"dfad5668a8298f26ffe6344fbbcb7efb5be7edbd9f108794fc034a3e2c3ddd1c"}}