{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:KXYCD5UGRMNGR7U5O6QY2DKZYF","short_pith_number":"pith:KXYCD5UG","canonical_record":{"source":{"id":"2002.04831","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-12T08:03:03Z","cross_cats_sorted":[],"title_canon_sha256":"1cb8eeab4f5837cd7e1458b6f6ed7d04c77247198c322793e90205913049e7e1","abstract_canon_sha256":"6e939f6a7a4abb3eef3f3e305855f3c08789dc0a89f8162f9d56366c5905bc83"},"schema_version":"1.0"},"canonical_sha256":"55f021f6868b1a68fe9d77a18d0d59c145bccefce799ab0efca327943aa048eb","source":{"kind":"arxiv","id":"2002.04831","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.04831","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"arxiv_version","alias_value":"2002.04831v2","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.04831","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"pith_short_12","alias_value":"KXYCD5UGRMNG","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"pith_short_16","alias_value":"KXYCD5UGRMNGR7U5","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"pith_short_8","alias_value":"KXYCD5UG","created_at":"2026-07-05T01:13:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:KXYCD5UGRMNGR7U5O6QY2DKZYF","target":"record","payload":{"canonical_record":{"source":{"id":"2002.04831","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-12T08:03:03Z","cross_cats_sorted":[],"title_canon_sha256":"1cb8eeab4f5837cd7e1458b6f6ed7d04c77247198c322793e90205913049e7e1","abstract_canon_sha256":"6e939f6a7a4abb3eef3f3e305855f3c08789dc0a89f8162f9d56366c5905bc83"},"schema_version":"1.0"},"canonical_sha256":"55f021f6868b1a68fe9d77a18d0d59c145bccefce799ab0efca327943aa048eb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:13:09.295140Z","signature_b64":"d7fglY9xfrKLHYJUaoWwTGsmjDRYxtV7m6shPKZdbKOf8VZvb1tiwjGPL9EqwRE1EcE25sObosKXsrAWosk3Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"55f021f6868b1a68fe9d77a18d0d59c145bccefce799ab0efca327943aa048eb","last_reissued_at":"2026-07-05T01:13:09.294564Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:13:09.294564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2002.04831","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":"2026-07-05T01:13:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KQAowiolVwSVC0OVClM9qaONyDm0t5djnHvwd1hqneqLONzCb6OFFy3P5lca3GL443IcMcLvQu/Uw/dORDTgCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:34:15.995789Z"},"content_sha256":"ab4a169199bc72b79d477f078607f78dbf9331ecea985e542fc5fea5543b2247","schema_version":"1.0","event_id":"sha256:ab4a169199bc72b79d477f078607f78dbf9331ecea985e542fc5fea5543b2247"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:KXYCD5UGRMNGR7U5O6QY2DKZYF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"End-to-End Face Parsing via Interlinked Convolutional Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Liang Tang, Valentin Yiu, Xiaolin Hu, Zi Yin","submitted_at":"2020-02-12T08:03:03Z","abstract_excerpt":"Face parsing is an important computer vision task that requires accurate pixel segmentation of facial parts (such as eyes, nose, mouth, etc.), providing a basis for further face analysis, modification, and other applications. Interlinked Convolutional Neural Networks (iCNN) was proved to be an effective two-stage model for face parsing. However, the original iCNN was trained separately in two stages, limiting its performance. To solve this problem, we introduce a simple, end-to-end face parsing framework: STN-aided iCNN(STN-iCNN), which extends the iCNN by adding a Spatial Transformer Network "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.04831","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2002.04831/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T01:13:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q6pJkd9J0vX7ATa8hzNZVLBLZhnoqW2dZJBkG09C/mezWRITNwWxAjDjD7VQd9gvh/17jZINz1X8QolGXaqJAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T18:34:15.997580Z"},"content_sha256":"4c55b0a70a7b4382a0ae0608f0721bdf41ab99649acf889910bab089f5557086","schema_version":"1.0","event_id":"sha256:4c55b0a70a7b4382a0ae0608f0721bdf41ab99649acf889910bab089f5557086"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KXYCD5UGRMNGR7U5O6QY2DKZYF/bundle.json","state_url":"https://pith.science/pith/KXYCD5UGRMNGR7U5O6QY2DKZYF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KXYCD5UGRMNGR7U5O6QY2DKZYF/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":"2026-08-05T18:34:16Z","links":{"resolver":"https://pith.science/pith/KXYCD5UGRMNGR7U5O6QY2DKZYF","bundle":"https://pith.science/pith/KXYCD5UGRMNGR7U5O6QY2DKZYF/bundle.json","state":"https://pith.science/pith/KXYCD5UGRMNGR7U5O6QY2DKZYF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KXYCD5UGRMNGR7U5O6QY2DKZYF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:KXYCD5UGRMNGR7U5O6QY2DKZYF","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":"6e939f6a7a4abb3eef3f3e305855f3c08789dc0a89f8162f9d56366c5905bc83","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-12T08:03:03Z","title_canon_sha256":"1cb8eeab4f5837cd7e1458b6f6ed7d04c77247198c322793e90205913049e7e1"},"schema_version":"1.0","source":{"id":"2002.04831","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2002.04831","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"arxiv_version","alias_value":"2002.04831v2","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2002.04831","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"pith_short_12","alias_value":"KXYCD5UGRMNG","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"pith_short_16","alias_value":"KXYCD5UGRMNGR7U5","created_at":"2026-07-05T01:13:09Z"},{"alias_kind":"pith_short_8","alias_value":"KXYCD5UG","created_at":"2026-07-05T01:13:09Z"}],"graph_snapshots":[{"event_id":"sha256:4c55b0a70a7b4382a0ae0608f0721bdf41ab99649acf889910bab089f5557086","target":"graph","created_at":"2026-07-05T01:13:09Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2002.04831/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Face parsing is an important computer vision task that requires accurate pixel segmentation of facial parts (such as eyes, nose, mouth, etc.), providing a basis for further face analysis, modification, and other applications. Interlinked Convolutional Neural Networks (iCNN) was proved to be an effective two-stage model for face parsing. However, the original iCNN was trained separately in two stages, limiting its performance. To solve this problem, we introduce a simple, end-to-end face parsing framework: STN-aided iCNN(STN-iCNN), which extends the iCNN by adding a Spatial Transformer Network ","authors_text":"Liang Tang, Valentin Yiu, Xiaolin Hu, Zi Yin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-12T08:03:03Z","title":"End-to-End Face Parsing via Interlinked Convolutional Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2002.04831","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:ab4a169199bc72b79d477f078607f78dbf9331ecea985e542fc5fea5543b2247","target":"record","created_at":"2026-07-05T01:13:09Z","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":"6e939f6a7a4abb3eef3f3e305855f3c08789dc0a89f8162f9d56366c5905bc83","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-02-12T08:03:03Z","title_canon_sha256":"1cb8eeab4f5837cd7e1458b6f6ed7d04c77247198c322793e90205913049e7e1"},"schema_version":"1.0","source":{"id":"2002.04831","kind":"arxiv","version":2}},"canonical_sha256":"55f021f6868b1a68fe9d77a18d0d59c145bccefce799ab0efca327943aa048eb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"55f021f6868b1a68fe9d77a18d0d59c145bccefce799ab0efca327943aa048eb","first_computed_at":"2026-07-05T01:13:09.294564Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:13:09.294564Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d7fglY9xfrKLHYJUaoWwTGsmjDRYxtV7m6shPKZdbKOf8VZvb1tiwjGPL9EqwRE1EcE25sObosKXsrAWosk3Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T01:13:09.295140Z","signed_message":"canonical_sha256_bytes"},"source_id":"2002.04831","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ab4a169199bc72b79d477f078607f78dbf9331ecea985e542fc5fea5543b2247","sha256:4c55b0a70a7b4382a0ae0608f0721bdf41ab99649acf889910bab089f5557086"],"state_sha256":"1a689b5d13b7974c174a533011ab4a60c49a6b4952c7b7b3d08bd9aeb32540e8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1e84XCsBJ63+N+jkX7TAcJcdhlA/u43z/+S7j1+6/PtSCoctfeBULlXlWNulOWL72HrnBqS1+slWOsrEOjzHAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T18:34:16.006466Z","bundle_sha256":"ed536c772aa363e3f1da77ce24a887b6ed1100e08bbfcdd88030efe50c76ead8"}}