{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:M5QM6KN6EUB3Y6IUFCGJKZVZ2I","short_pith_number":"pith:M5QM6KN6","canonical_record":{"source":{"id":"2109.10760","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-22T14:30:12Z","cross_cats_sorted":[],"title_canon_sha256":"5d2c0127f883e7c850706bbebd88f885e25b9316674a7a737b758a8c9d83c2e6","abstract_canon_sha256":"a441e054e78e44d99cd8026e4df54f7375d8ed5615432278e2996e7f39956f84"},"schema_version":"1.0"},"canonical_sha256":"6760cf29be2503bc7914288c9566b9d205581cb7c32ab0a5f764d2b8d3967de0","source":{"kind":"arxiv","id":"2109.10760","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.10760","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"arxiv_version","alias_value":"2109.10760v2","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.10760","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"pith_short_12","alias_value":"M5QM6KN6EUB3","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"pith_short_16","alias_value":"M5QM6KN6EUB3Y6IU","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"pith_short_8","alias_value":"M5QM6KN6","created_at":"2026-07-05T03:24:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:M5QM6KN6EUB3Y6IUFCGJKZVZ2I","target":"record","payload":{"canonical_record":{"source":{"id":"2109.10760","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-22T14:30:12Z","cross_cats_sorted":[],"title_canon_sha256":"5d2c0127f883e7c850706bbebd88f885e25b9316674a7a737b758a8c9d83c2e6","abstract_canon_sha256":"a441e054e78e44d99cd8026e4df54f7375d8ed5615432278e2996e7f39956f84"},"schema_version":"1.0"},"canonical_sha256":"6760cf29be2503bc7914288c9566b9d205581cb7c32ab0a5f764d2b8d3967de0","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:24:45.117132Z","signature_b64":"r/ah0T0XUatcK7LiG/DPp8GMz+s+a+56TGbUESqhmQsxBEXpxkDA4Ojqqgq/pk7lC1wmVYcRQrN8/KiA17dSCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6760cf29be2503bc7914288c9566b9d205581cb7c32ab0a5f764d2b8d3967de0","last_reissued_at":"2026-07-05T03:24:45.116577Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:24:45.116577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2109.10760","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":"2026-07-05T03:24:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Z/fcbeCmoulBqOycrzqzReiFX9GOQQKP1MUrjGCMFAyFgjuUJ0LdrN/2RY3UgGWBSBN7IFrzHgPN3zd3fLT3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:09:14.155440Z"},"content_sha256":"d09b0e8475dc2c24addd8576a9047fe64f63bdd490f9718c31e7e152e964907d","schema_version":"1.0","event_id":"sha256:d09b0e8475dc2c24addd8576a9047fe64f63bdd490f9718c31e7e152e964907d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:M5QM6KN6EUB3Y6IUFCGJKZVZ2I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FaceEraser: Removing Facial Parts for Augmented Reality","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bingchuan Li, Lijie Liu, Miao Hua, Qian He, Zili Yi, Ziyang Cheng","submitted_at":"2021-09-22T14:30:12Z","abstract_excerpt":"Our task is to remove all facial parts (e.g., eyebrows, eyes, mouth and nose), and then impose visual elements onto the ``blank'' face for augmented reality. Conventional object removal methods rely on image inpainting techniques (e.g., EdgeConnect, HiFill) that are trained in a self-supervised manner with randomly manipulated image pairs. Specifically, given a set of natural images, randomly masked images are used as inputs and the raw images are treated as ground truths. Whereas, this technique does not satisfy the requirements of facial parts removal, as it is hard to obtain ``ground-truth'"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.10760","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/2109.10760/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":"2026-07-05T03:24:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fGvf6UX+LGKPcGRa6zsrjsxpoAuh6LW1wQiDsdhZ+hzYtp+FrdG7OTN93wOszggw+6IqTdJhUx7LKC/MbKyaCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T02:09:14.155969Z"},"content_sha256":"de7e3a0e51fc579e5ab443e2ea63d834662499c82237ed6a1fa3f7cc2d5b89f7","schema_version":"1.0","event_id":"sha256:de7e3a0e51fc579e5ab443e2ea63d834662499c82237ed6a1fa3f7cc2d5b89f7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/bundle.json","state_url":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/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":"2026-08-18T02:09:14Z","links":{"resolver":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I","bundle":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/bundle.json","state":"https://pith.science/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M5QM6KN6EUB3Y6IUFCGJKZVZ2I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:M5QM6KN6EUB3Y6IUFCGJKZVZ2I","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":"a441e054e78e44d99cd8026e4df54f7375d8ed5615432278e2996e7f39956f84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-22T14:30:12Z","title_canon_sha256":"5d2c0127f883e7c850706bbebd88f885e25b9316674a7a737b758a8c9d83c2e6"},"schema_version":"1.0","source":{"id":"2109.10760","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2109.10760","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"arxiv_version","alias_value":"2109.10760v2","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2109.10760","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"pith_short_12","alias_value":"M5QM6KN6EUB3","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"pith_short_16","alias_value":"M5QM6KN6EUB3Y6IU","created_at":"2026-07-05T03:24:45Z"},{"alias_kind":"pith_short_8","alias_value":"M5QM6KN6","created_at":"2026-07-05T03:24:45Z"}],"graph_snapshots":[{"event_id":"sha256:de7e3a0e51fc579e5ab443e2ea63d834662499c82237ed6a1fa3f7cc2d5b89f7","target":"graph","created_at":"2026-07-05T03:24:45Z","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/2109.10760/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Our task is to remove all facial parts (e.g., eyebrows, eyes, mouth and nose), and then impose visual elements onto the ``blank'' face for augmented reality. Conventional object removal methods rely on image inpainting techniques (e.g., EdgeConnect, HiFill) that are trained in a self-supervised manner with randomly manipulated image pairs. Specifically, given a set of natural images, randomly masked images are used as inputs and the raw images are treated as ground truths. Whereas, this technique does not satisfy the requirements of facial parts removal, as it is hard to obtain ``ground-truth'","authors_text":"Bingchuan Li, Lijie Liu, Miao Hua, Qian He, Zili Yi, Ziyang Cheng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-22T14:30:12Z","title":"FaceEraser: Removing Facial Parts for Augmented Reality"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2109.10760","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:d09b0e8475dc2c24addd8576a9047fe64f63bdd490f9718c31e7e152e964907d","target":"record","created_at":"2026-07-05T03:24:45Z","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":"a441e054e78e44d99cd8026e4df54f7375d8ed5615432278e2996e7f39956f84","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2021-09-22T14:30:12Z","title_canon_sha256":"5d2c0127f883e7c850706bbebd88f885e25b9316674a7a737b758a8c9d83c2e6"},"schema_version":"1.0","source":{"id":"2109.10760","kind":"arxiv","version":2}},"canonical_sha256":"6760cf29be2503bc7914288c9566b9d205581cb7c32ab0a5f764d2b8d3967de0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6760cf29be2503bc7914288c9566b9d205581cb7c32ab0a5f764d2b8d3967de0","first_computed_at":"2026-07-05T03:24:45.116577Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:24:45.116577Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r/ah0T0XUatcK7LiG/DPp8GMz+s+a+56TGbUESqhmQsxBEXpxkDA4Ojqqgq/pk7lC1wmVYcRQrN8/KiA17dSCA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:24:45.117132Z","signed_message":"canonical_sha256_bytes"},"source_id":"2109.10760","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d09b0e8475dc2c24addd8576a9047fe64f63bdd490f9718c31e7e152e964907d","sha256:de7e3a0e51fc579e5ab443e2ea63d834662499c82237ed6a1fa3f7cc2d5b89f7"],"state_sha256":"5516267651a33371acda3d96f69601a948fd9b6fdb9bc50416e19dd3b95dc12f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e6FySxlwUBG+1F9fZaO0rCqlVeERugr5DY4W/NLP4GQQW3P9HZ8Gy+vffSJbfNL9z+QNWvKyk4eHRsZn1wVYCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T02:09:14.161744Z","bundle_sha256":"5b45db9b5150d940d6212944ebc5307ea78751b844fbad4b317f86c33d8bf90b"}}