{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:5535ZJMRU7VC4TCUNUZ66TAJJN","short_pith_number":"pith:5535ZJMR","canonical_record":{"source":{"id":"1708.01936","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T21:34:01Z","cross_cats_sorted":[],"title_canon_sha256":"01d5d8c63187af643089d9a7243c846acdc877b1a4eaebebaa88af2ce7970af3","abstract_canon_sha256":"35f074bb1770c97f1584721df5e71c7ce569d02d2bd10c72fd5bdcfdcfecdaa3"},"schema_version":"1.0"},"canonical_sha256":"ef77dca591a7ea2e4c546d33ef4c094b786132cd693176b212463f57f7662e92","source":{"kind":"arxiv","id":"1708.01936","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.01936","created_at":"2026-05-18T00:38:32Z"},{"alias_kind":"arxiv_version","alias_value":"1708.01936v1","created_at":"2026-05-18T00:38:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01936","created_at":"2026-05-18T00:38:32Z"},{"alias_kind":"pith_short_12","alias_value":"5535ZJMRU7VC","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"5535ZJMRU7VC4TCU","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"5535ZJMR","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:5535ZJMRU7VC4TCUNUZ66TAJJN","target":"record","payload":{"canonical_record":{"source":{"id":"1708.01936","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T21:34:01Z","cross_cats_sorted":[],"title_canon_sha256":"01d5d8c63187af643089d9a7243c846acdc877b1a4eaebebaa88af2ce7970af3","abstract_canon_sha256":"35f074bb1770c97f1584721df5e71c7ce569d02d2bd10c72fd5bdcfdcfecdaa3"},"schema_version":"1.0"},"canonical_sha256":"ef77dca591a7ea2e4c546d33ef4c094b786132cd693176b212463f57f7662e92","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:38:32.736703Z","signature_b64":"NKpbOfjQiJo9vp8lsmFoHuicwLnN6IM0vdFL5bKHqzmZAindUQNs/pjnleE4i1Z63jptZ0oNp6K0ZEfLqX6VCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ef77dca591a7ea2e4c546d33ef4c094b786132cd693176b212463f57f7662e92","last_reissued_at":"2026-05-18T00:38:32.736118Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:38:32.736118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1708.01936","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":"2026-05-18T00:38:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gk//2Jo0J+17A2tjYtAUxpibTT0rvPDbkapYtypp148dVeWIiPTwi8/g5l2XvHwq3T9uXpdhosYu6Viq9rHHAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T11:01:38.621620Z"},"content_sha256":"4f4c0a5ab7e731e61cbeeb2792e623464d7f103a1f9eb98b66c9913d421e8d09","schema_version":"1.0","event_id":"sha256:4f4c0a5ab7e731e61cbeeb2792e623464d7f103a1f9eb98b66c9913d421e8d09"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:5535ZJMRU7VC4TCUNUZ66TAJJN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Face Parsing via Recurrent Propagation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jianping Shi, Ji Liang, Ming-Hsuan Yang, Sifei Liu","submitted_at":"2017-08-06T21:34:01Z","abstract_excerpt":"Face parsing is an important problem in computer vision that finds numerous applications including recognition and editing. Recently, deep convolutional neural networks (CNNs) have been applied to image parsing and segmentation with the state-of-the-art performance. In this paper, we propose a face parsing algorithm that combines hierarchical representations learned by a CNN, and accurate label propagations achieved by a spatially variant recurrent neural network (RNN). The RNN-based propagation approach enables efficient inference over a global space with the guidance of semantic edges genera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01936","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":"2026-05-18T00:38:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MhTRma7kEGU0rKYIrQUjFnXRyown0TPwZ8n+StGN783jttiTV/HirE6au5dUfjZC5uEMA3qsiHVHZwIxNRSPCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T11:01:38.622342Z"},"content_sha256":"63a18c9610a4d42eef1ab313070c5fc872bfbc4c1ebd6deb424fb178d7fee0e7","schema_version":"1.0","event_id":"sha256:63a18c9610a4d42eef1ab313070c5fc872bfbc4c1ebd6deb424fb178d7fee0e7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5535ZJMRU7VC4TCUNUZ66TAJJN/bundle.json","state_url":"https://pith.science/pith/5535ZJMRU7VC4TCUNUZ66TAJJN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5535ZJMRU7VC4TCUNUZ66TAJJN/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":"2026-05-31T11:01:38Z","links":{"resolver":"https://pith.science/pith/5535ZJMRU7VC4TCUNUZ66TAJJN","bundle":"https://pith.science/pith/5535ZJMRU7VC4TCUNUZ66TAJJN/bundle.json","state":"https://pith.science/pith/5535ZJMRU7VC4TCUNUZ66TAJJN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5535ZJMRU7VC4TCUNUZ66TAJJN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:5535ZJMRU7VC4TCUNUZ66TAJJN","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":"35f074bb1770c97f1584721df5e71c7ce569d02d2bd10c72fd5bdcfdcfecdaa3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T21:34:01Z","title_canon_sha256":"01d5d8c63187af643089d9a7243c846acdc877b1a4eaebebaa88af2ce7970af3"},"schema_version":"1.0","source":{"id":"1708.01936","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1708.01936","created_at":"2026-05-18T00:38:32Z"},{"alias_kind":"arxiv_version","alias_value":"1708.01936v1","created_at":"2026-05-18T00:38:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1708.01936","created_at":"2026-05-18T00:38:32Z"},{"alias_kind":"pith_short_12","alias_value":"5535ZJMRU7VC","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"5535ZJMRU7VC4TCU","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"5535ZJMR","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:63a18c9610a4d42eef1ab313070c5fc872bfbc4c1ebd6deb424fb178d7fee0e7","target":"graph","created_at":"2026-05-18T00:38:32Z","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":"Face parsing is an important problem in computer vision that finds numerous applications including recognition and editing. Recently, deep convolutional neural networks (CNNs) have been applied to image parsing and segmentation with the state-of-the-art performance. In this paper, we propose a face parsing algorithm that combines hierarchical representations learned by a CNN, and accurate label propagations achieved by a spatially variant recurrent neural network (RNN). The RNN-based propagation approach enables efficient inference over a global space with the guidance of semantic edges genera","authors_text":"Jianping Shi, Ji Liang, Ming-Hsuan Yang, Sifei Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T21:34:01Z","title":"Face Parsing via Recurrent Propagation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1708.01936","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":"sha256:4f4c0a5ab7e731e61cbeeb2792e623464d7f103a1f9eb98b66c9913d421e8d09","target":"record","created_at":"2026-05-18T00:38:32Z","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":"35f074bb1770c97f1584721df5e71c7ce569d02d2bd10c72fd5bdcfdcfecdaa3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-08-06T21:34:01Z","title_canon_sha256":"01d5d8c63187af643089d9a7243c846acdc877b1a4eaebebaa88af2ce7970af3"},"schema_version":"1.0","source":{"id":"1708.01936","kind":"arxiv","version":1}},"canonical_sha256":"ef77dca591a7ea2e4c546d33ef4c094b786132cd693176b212463f57f7662e92","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ef77dca591a7ea2e4c546d33ef4c094b786132cd693176b212463f57f7662e92","first_computed_at":"2026-05-18T00:38:32.736118Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:38:32.736118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"NKpbOfjQiJo9vp8lsmFoHuicwLnN6IM0vdFL5bKHqzmZAindUQNs/pjnleE4i1Z63jptZ0oNp6K0ZEfLqX6VCA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:38:32.736703Z","signed_message":"canonical_sha256_bytes"},"source_id":"1708.01936","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f4c0a5ab7e731e61cbeeb2792e623464d7f103a1f9eb98b66c9913d421e8d09","sha256:63a18c9610a4d42eef1ab313070c5fc872bfbc4c1ebd6deb424fb178d7fee0e7"],"state_sha256":"d283a424c69ed631c79a27db6a9dd98acd7fcccab6c364e9502e1dbdc7266ec7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ODn819ml4Q1o2JOMX0cnHLXGCjXZ4BWxqrU/WbpqC2qPjf2chLwj+7B23JOXdeka6Tq/viCfgekMvWhs2nNdCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T11:01:38.626259Z","bundle_sha256":"8779c88f2655858732b8271734f357b0368d520d9e7f2e194635afc756ac16b1"}}