{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:5Y7WZND6ZZSIH7QCP254S3CEES","short_pith_number":"pith:5Y7WZND6","canonical_record":{"source":{"id":"1812.03887","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T15:50:37Z","cross_cats_sorted":[],"title_canon_sha256":"09b8234da67fb3cd24505ced055ea386920e071def90765a45a503f621740452","abstract_canon_sha256":"7177eee97d24d5226552c427f8303334743fd76505f1f634cb4ecdcecf572b39"},"schema_version":"1.0"},"canonical_sha256":"ee3f6cb47ece6483fe027ebbc96c4424bdef045bcbd9f319d75faf8849677ea2","source":{"kind":"arxiv","id":"1812.03887","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.03887","created_at":"2026-05-17T23:58:43Z"},{"alias_kind":"arxiv_version","alias_value":"1812.03887v1","created_at":"2026-05-17T23:58:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.03887","created_at":"2026-05-17T23:58:43Z"},{"alias_kind":"pith_short_12","alias_value":"5Y7WZND6ZZSI","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5Y7WZND6ZZSIH7QC","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5Y7WZND6","created_at":"2026-05-18T12:32:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:5Y7WZND6ZZSIH7QCP254S3CEES","target":"record","payload":{"canonical_record":{"source":{"id":"1812.03887","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T15:50:37Z","cross_cats_sorted":[],"title_canon_sha256":"09b8234da67fb3cd24505ced055ea386920e071def90765a45a503f621740452","abstract_canon_sha256":"7177eee97d24d5226552c427f8303334743fd76505f1f634cb4ecdcecf572b39"},"schema_version":"1.0"},"canonical_sha256":"ee3f6cb47ece6483fe027ebbc96c4424bdef045bcbd9f319d75faf8849677ea2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:58:43.653681Z","signature_b64":"UlN5UU2s7DsI+2YlmyQzGPmuWj//1ss0gaZdirn/s6BJ+Iru0Sh9Re5tqHrkaY+TnHwwle0cOE0nGSS8wO5SCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee3f6cb47ece6483fe027ebbc96c4424bdef045bcbd9f319d75faf8849677ea2","last_reissued_at":"2026-05-17T23:58:43.653205Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:58:43.653205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.03887","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":"2026-05-17T23:58:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5UmwvVtRjsPv8Xk1s8HFBDqMF+DT6qmfCn6bExpKeqV5R9alCKhEoNTT7fR5Po4QVYeMuM/gqth5XQ5/YPDmDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T02:06:02.784624Z"},"content_sha256":"be334304f894141aba5a5d7997bb92837ee1e4c58bf76937642625700e0931c4","schema_version":"1.0","event_id":"sha256:be334304f894141aba5a5d7997bb92837ee1e4c58bf76937642625700e0931c4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:5Y7WZND6ZZSIH7QCP254S3CEES","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guanbin Li, Liang Lin, Lingbo Liu, Qing Wang, Yizhou Yu, Yuan Xie","submitted_at":"2018-12-10T15:50:37Z","abstract_excerpt":"Facial landmark localization plays a critical role in face recognition and analysis. In this paper, we propose a novel cascaded backbone-branches fully convolutional neural network~(BB-FCN) for rapidly and accurately localizing facial landmarks in unconstrained and cluttered settings. Our proposed BB-FCN generates facial landmark response maps directly from raw images without any preprocessing. BB-FCN follows a coarse-to-fine cascaded pipeline, which consists of a backbone network for roughly detecting the locations of all facial landmarks and one branch network for each type of detected landm"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.03887","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":"2026-05-17T23:58:43Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o8l921MUaoVi3TQC6viYf8jtk8fVBCxz7RiljEPA06SMOqQers6hRXUtudCpqfu8SGL00+RTi88+yuyvsPVMCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T02:06:02.785048Z"},"content_sha256":"511d5b7a4b41b7705a1696adc9ea2fb6e06d5819bda57ab344fc2ad5e6d90606","schema_version":"1.0","event_id":"sha256:511d5b7a4b41b7705a1696adc9ea2fb6e06d5819bda57ab344fc2ad5e6d90606"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5Y7WZND6ZZSIH7QCP254S3CEES/bundle.json","state_url":"https://pith.science/pith/5Y7WZND6ZZSIH7QCP254S3CEES/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5Y7WZND6ZZSIH7QCP254S3CEES/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":"2026-06-02T02:06:02Z","links":{"resolver":"https://pith.science/pith/5Y7WZND6ZZSIH7QCP254S3CEES","bundle":"https://pith.science/pith/5Y7WZND6ZZSIH7QCP254S3CEES/bundle.json","state":"https://pith.science/pith/5Y7WZND6ZZSIH7QCP254S3CEES/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5Y7WZND6ZZSIH7QCP254S3CEES/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:5Y7WZND6ZZSIH7QCP254S3CEES","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":"7177eee97d24d5226552c427f8303334743fd76505f1f634cb4ecdcecf572b39","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T15:50:37Z","title_canon_sha256":"09b8234da67fb3cd24505ced055ea386920e071def90765a45a503f621740452"},"schema_version":"1.0","source":{"id":"1812.03887","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.03887","created_at":"2026-05-17T23:58:43Z"},{"alias_kind":"arxiv_version","alias_value":"1812.03887v1","created_at":"2026-05-17T23:58:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.03887","created_at":"2026-05-17T23:58:43Z"},{"alias_kind":"pith_short_12","alias_value":"5Y7WZND6ZZSI","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_16","alias_value":"5Y7WZND6ZZSIH7QC","created_at":"2026-05-18T12:32:08Z"},{"alias_kind":"pith_short_8","alias_value":"5Y7WZND6","created_at":"2026-05-18T12:32:08Z"}],"graph_snapshots":[{"event_id":"sha256:511d5b7a4b41b7705a1696adc9ea2fb6e06d5819bda57ab344fc2ad5e6d90606","target":"graph","created_at":"2026-05-17T23:58:43Z","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":"Facial landmark localization plays a critical role in face recognition and analysis. In this paper, we propose a novel cascaded backbone-branches fully convolutional neural network~(BB-FCN) for rapidly and accurately localizing facial landmarks in unconstrained and cluttered settings. Our proposed BB-FCN generates facial landmark response maps directly from raw images without any preprocessing. BB-FCN follows a coarse-to-fine cascaded pipeline, which consists of a backbone network for roughly detecting the locations of all facial landmarks and one branch network for each type of detected landm","authors_text":"Guanbin Li, Liang Lin, Lingbo Liu, Qing Wang, Yizhou Yu, Yuan Xie","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T15:50:37Z","title":"Facial Landmark Machines: A Backbone-Branches Architecture with Progressive Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.03887","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:be334304f894141aba5a5d7997bb92837ee1e4c58bf76937642625700e0931c4","target":"record","created_at":"2026-05-17T23:58:43Z","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":"7177eee97d24d5226552c427f8303334743fd76505f1f634cb4ecdcecf572b39","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-10T15:50:37Z","title_canon_sha256":"09b8234da67fb3cd24505ced055ea386920e071def90765a45a503f621740452"},"schema_version":"1.0","source":{"id":"1812.03887","kind":"arxiv","version":1}},"canonical_sha256":"ee3f6cb47ece6483fe027ebbc96c4424bdef045bcbd9f319d75faf8849677ea2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee3f6cb47ece6483fe027ebbc96c4424bdef045bcbd9f319d75faf8849677ea2","first_computed_at":"2026-05-17T23:58:43.653205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:58:43.653205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UlN5UU2s7DsI+2YlmyQzGPmuWj//1ss0gaZdirn/s6BJ+Iru0Sh9Re5tqHrkaY+TnHwwle0cOE0nGSS8wO5SCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:58:43.653681Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.03887","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be334304f894141aba5a5d7997bb92837ee1e4c58bf76937642625700e0931c4","sha256:511d5b7a4b41b7705a1696adc9ea2fb6e06d5819bda57ab344fc2ad5e6d90606"],"state_sha256":"239dac5cb1c9a3e4144c2313fbd92d64aa82339dfbfe1a78fbf137935b7a6f37"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WisDmK+0luIwPAiTnj1vfnpJbQP665zOp9+pX3KXEJRGx+CrQ736Ounel32c72D5cfy1cZho5yvv9DxTWbvdAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T02:06:02.787096Z","bundle_sha256":"7f2e94bf9186cff866c5587f8b84c8b4c415d6d2e28bca839866927868d19d81"}}