{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:B6HON6KXXPGDVZTOUKXCS6EJHT","short_pith_number":"pith:B6HON6KX","canonical_record":{"source":{"id":"1905.12862","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-30T05:52:47Z","cross_cats_sorted":[],"title_canon_sha256":"31d6fe9b80b51e5904a9e396866e3ef799c25e68f8794eb685624ec59679b2c0","abstract_canon_sha256":"28ae3006fd7a9089566867dd3c2dbe687965fdeb021ae596a8ddad45894d582d"},"schema_version":"1.0"},"canonical_sha256":"0f8ee6f957bbcc3ae66ea2ae2978893ceebf3a6615904dab612b3146ef776986","source":{"kind":"arxiv","id":"1905.12862","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12862","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12862v2","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12862","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"B6HON6KXXPGD","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"B6HON6KXXPGDVZTO","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"B6HON6KX","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:B6HON6KXXPGDVZTOUKXCS6EJHT","target":"record","payload":{"canonical_record":{"source":{"id":"1905.12862","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-30T05:52:47Z","cross_cats_sorted":[],"title_canon_sha256":"31d6fe9b80b51e5904a9e396866e3ef799c25e68f8794eb685624ec59679b2c0","abstract_canon_sha256":"28ae3006fd7a9089566867dd3c2dbe687965fdeb021ae596a8ddad45894d582d"},"schema_version":"1.0"},"canonical_sha256":"0f8ee6f957bbcc3ae66ea2ae2978893ceebf3a6615904dab612b3146ef776986","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:42:07.879758Z","signature_b64":"2pi7O6zuWvpwGHVCRfyXCEus2SDugvWhmEbvdFyetogl+3Bfy1yyi44OdgWcIltvzxtKjY9FwAjUaT1DK66XAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0f8ee6f957bbcc3ae66ea2ae2978893ceebf3a6615904dab612b3146ef776986","last_reissued_at":"2026-05-17T23:42:07.879158Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:42:07.879158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1905.12862","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":"2026-05-17T23:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oNLT9C3r9fNszTC1N/IfB7ii5S2vRzzqhcRc6s5Zq3+DZSD1hWnmncFftN3ET2Y9v3bLkhNB5T01flnGN3OxBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T11:39:01.488496Z"},"content_sha256":"dd9894518a71e2992dd0bcd031d4f9709ba24dcc3f07ae69ab0221a10ce196f2","schema_version":"1.0","event_id":"sha256:dd9894518a71e2992dd0bcd031d4f9709ba24dcc3f07ae69ab0221a10ce196f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:B6HON6KXXPGDVZTOUKXCS6EJHT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Enhong Chen, Le Wu, Min Hou, Qi Liu, Vincent W. Zheng, Zhi Li","submitted_at":"2019-05-30T05:52:47Z","abstract_excerpt":"In fashion recommender systems, each product usually consists of multiple semantic attributes (e.g., sleeves, collar, etc). When making cloth decisions, people usually show preferences for different semantic attributes (e.g., the clothes with v-neck collar). Nevertheless, most previous fashion recommendation models comprehend the clothing images with a global content representation and lack detailed understanding of users' semantic preferences, which usually leads to inferior recommendation performance. To bridge this gap, we propose a novel Semantic Attribute Explainable Recommender System (S"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12862","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":""},"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":"2026-05-17T23:42:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9rzr4dG1yIjYAHyQsIMs/nOxFL24QA95VvhHkvPFBQs/RolajtEhwBGvJhhOnNP5uoPM00a98Xo5a9ubSeDrDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T11:39:01.489060Z"},"content_sha256":"aaa6c370a2a6c27439d98a906c39cd37610dd0d7f15a48cfd1bf9020d1176dd1","schema_version":"1.0","event_id":"sha256:aaa6c370a2a6c27439d98a906c39cd37610dd0d7f15a48cfd1bf9020d1176dd1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/B6HON6KXXPGDVZTOUKXCS6EJHT/bundle.json","state_url":"https://pith.science/pith/B6HON6KXXPGDVZTOUKXCS6EJHT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/B6HON6KXXPGDVZTOUKXCS6EJHT/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":"2026-06-05T11:39:01Z","links":{"resolver":"https://pith.science/pith/B6HON6KXXPGDVZTOUKXCS6EJHT","bundle":"https://pith.science/pith/B6HON6KXXPGDVZTOUKXCS6EJHT/bundle.json","state":"https://pith.science/pith/B6HON6KXXPGDVZTOUKXCS6EJHT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/B6HON6KXXPGDVZTOUKXCS6EJHT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:B6HON6KXXPGDVZTOUKXCS6EJHT","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":"28ae3006fd7a9089566867dd3c2dbe687965fdeb021ae596a8ddad45894d582d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-30T05:52:47Z","title_canon_sha256":"31d6fe9b80b51e5904a9e396866e3ef799c25e68f8794eb685624ec59679b2c0"},"schema_version":"1.0","source":{"id":"1905.12862","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1905.12862","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"arxiv_version","alias_value":"1905.12862v2","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1905.12862","created_at":"2026-05-17T23:42:07Z"},{"alias_kind":"pith_short_12","alias_value":"B6HON6KXXPGD","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"B6HON6KXXPGDVZTO","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"B6HON6KX","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:aaa6c370a2a6c27439d98a906c39cd37610dd0d7f15a48cfd1bf9020d1176dd1","target":"graph","created_at":"2026-05-17T23:42:07Z","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":"In fashion recommender systems, each product usually consists of multiple semantic attributes (e.g., sleeves, collar, etc). When making cloth decisions, people usually show preferences for different semantic attributes (e.g., the clothes with v-neck collar). Nevertheless, most previous fashion recommendation models comprehend the clothing images with a global content representation and lack detailed understanding of users' semantic preferences, which usually leads to inferior recommendation performance. To bridge this gap, we propose a novel Semantic Attribute Explainable Recommender System (S","authors_text":"Enhong Chen, Le Wu, Min Hou, Qi Liu, Vincent W. Zheng, Zhi Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-30T05:52:47Z","title":"Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1905.12862","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:dd9894518a71e2992dd0bcd031d4f9709ba24dcc3f07ae69ab0221a10ce196f2","target":"record","created_at":"2026-05-17T23:42:07Z","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":"28ae3006fd7a9089566867dd3c2dbe687965fdeb021ae596a8ddad45894d582d","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2019-05-30T05:52:47Z","title_canon_sha256":"31d6fe9b80b51e5904a9e396866e3ef799c25e68f8794eb685624ec59679b2c0"},"schema_version":"1.0","source":{"id":"1905.12862","kind":"arxiv","version":2}},"canonical_sha256":"0f8ee6f957bbcc3ae66ea2ae2978893ceebf3a6615904dab612b3146ef776986","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0f8ee6f957bbcc3ae66ea2ae2978893ceebf3a6615904dab612b3146ef776986","first_computed_at":"2026-05-17T23:42:07.879158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:42:07.879158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2pi7O6zuWvpwGHVCRfyXCEus2SDugvWhmEbvdFyetogl+3Bfy1yyi44OdgWcIltvzxtKjY9FwAjUaT1DK66XAw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:42:07.879758Z","signed_message":"canonical_sha256_bytes"},"source_id":"1905.12862","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd9894518a71e2992dd0bcd031d4f9709ba24dcc3f07ae69ab0221a10ce196f2","sha256:aaa6c370a2a6c27439d98a906c39cd37610dd0d7f15a48cfd1bf9020d1176dd1"],"state_sha256":"1386a039bb3d26283d08e4e09feb72b2aeb5955926196b0d9092f5daa76ce7d6"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MCqUYzTdYHCxVt7UIIeACzlO+eCYhBVyEpKpNG5Ah370WDICG1jubpivwGuzH1CNdMEcCeZzjYeeuqTZTOYiAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T11:39:01.491911Z","bundle_sha256":"0403980e929d5a4928c5579ebfde35e6c6e1804ac8230b7236c76ab323da1905"}}