{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:QP3VAU5LFHOHMVM6T6WF2LPG7S","short_pith_number":"pith:QP3VAU5L","canonical_record":{"source":{"id":"1909.01738","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-09-04T12:43:32Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"beb32417b9ce269bbb6d39c28fa23ae3958d9871bf23f6bfd55436034685aebd","abstract_canon_sha256":"b4d76593dea08a7d373137be721f8f843f724c82692d1dbdf0be9000f32adbe0"},"schema_version":"1.0"},"canonical_sha256":"83f75053ab29dc76559e9fac5d2de6fc815c31e2f7806f5271c8c497013ff83c","source":{"kind":"arxiv","id":"1909.01738","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.01738","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"arxiv_version","alias_value":"1909.01738v3","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.01738","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"pith_short_12","alias_value":"QP3VAU5LFHOH","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"pith_short_16","alias_value":"QP3VAU5LFHOHMVM6","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"pith_short_8","alias_value":"QP3VAU5L","created_at":"2026-07-05T01:48:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:QP3VAU5LFHOHMVM6T6WF2LPG7S","target":"record","payload":{"canonical_record":{"source":{"id":"1909.01738","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-09-04T12:43:32Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"beb32417b9ce269bbb6d39c28fa23ae3958d9871bf23f6bfd55436034685aebd","abstract_canon_sha256":"b4d76593dea08a7d373137be721f8f843f724c82692d1dbdf0be9000f32adbe0"},"schema_version":"1.0"},"canonical_sha256":"83f75053ab29dc76559e9fac5d2de6fc815c31e2f7806f5271c8c497013ff83c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:48:06.418488Z","signature_b64":"eMnihQP4pOjdJsmK6y0Cnopdubrjx8XBfsXjrNVWIWsnaLD7qAzPM3QBe2MmdMZTpYpRowQICL2SaP+atVddBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"83f75053ab29dc76559e9fac5d2de6fc815c31e2f7806f5271c8c497013ff83c","last_reissued_at":"2026-07-05T01:48:06.418124Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:48:06.418124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1909.01738","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T01:48:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LxVwvVQoOscvz1KmIQso7fjHfmPZ39tihCJntmBVkL+xSzQMoo5zs76/yuzuNlZNIrd7QhKV4sVU+JGKT0fsAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T01:10:47.499891Z"},"content_sha256":"bd2412069bafba236ab9f048803b27724cfaa2058342be48082b66660b3e93f2","schema_version":"1.0","event_id":"sha256:bd2412069bafba236ab9f048803b27724cfaa2058342be48082b66660b3e93f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:QP3VAU5LFHOHMVM6T6WF2LPG7S","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.MM","authors_text":"Jiahua Xu, Patrick Le Callet, Suiyi Ling, Wei Zhou, Zhibo Chen","submitted_at":"2019-09-04T12:43:32Z","abstract_excerpt":"Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D contents. Compared with conventional methods which are relied on hand-crafted features, deep learning oriented measurements have achieved remarkable performance in recent years. However, most existing deep SIQM evaluators are not specifically built for stereoscopic contents and consider little prior domain knowledge of the 3D human visual system (HVS) in network design. In this paper, we develop a Predictive Auto-encoDing "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.01738","kind":"arxiv","version":3},"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/1909.01738/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":"2026-07-05T01:48:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kNloJCqVekQsZanSrDG9tWGRg+2WQGgHg1di23MlaOAjjiAUDVFNZYqteKohgzOHE0Kf6/dK6l7OTWJmU72wCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T01:10:47.500419Z"},"content_sha256":"0bb94cf6d52fc28756a293312c4eb0068ed2eb72333fffb217bac9329a34d1b1","schema_version":"1.0","event_id":"sha256:0bb94cf6d52fc28756a293312c4eb0068ed2eb72333fffb217bac9329a34d1b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QP3VAU5LFHOHMVM6T6WF2LPG7S/bundle.json","state_url":"https://pith.science/pith/QP3VAU5LFHOHMVM6T6WF2LPG7S/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QP3VAU5LFHOHMVM6T6WF2LPG7S/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":"2026-08-19T01:10:47Z","links":{"resolver":"https://pith.science/pith/QP3VAU5LFHOHMVM6T6WF2LPG7S","bundle":"https://pith.science/pith/QP3VAU5LFHOHMVM6T6WF2LPG7S/bundle.json","state":"https://pith.science/pith/QP3VAU5LFHOHMVM6T6WF2LPG7S/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QP3VAU5LFHOHMVM6T6WF2LPG7S/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:QP3VAU5LFHOHMVM6T6WF2LPG7S","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":"b4d76593dea08a7d373137be721f8f843f724c82692d1dbdf0be9000f32adbe0","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-09-04T12:43:32Z","title_canon_sha256":"beb32417b9ce269bbb6d39c28fa23ae3958d9871bf23f6bfd55436034685aebd"},"schema_version":"1.0","source":{"id":"1909.01738","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1909.01738","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"arxiv_version","alias_value":"1909.01738v3","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1909.01738","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"pith_short_12","alias_value":"QP3VAU5LFHOH","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"pith_short_16","alias_value":"QP3VAU5LFHOHMVM6","created_at":"2026-07-05T01:48:06Z"},{"alias_kind":"pith_short_8","alias_value":"QP3VAU5L","created_at":"2026-07-05T01:48:06Z"}],"graph_snapshots":[{"event_id":"sha256:0bb94cf6d52fc28756a293312c4eb0068ed2eb72333fffb217bac9329a34d1b1","target":"graph","created_at":"2026-07-05T01:48:06Z","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/1909.01738/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D contents. Compared with conventional methods which are relied on hand-crafted features, deep learning oriented measurements have achieved remarkable performance in recent years. However, most existing deep SIQM evaluators are not specifically built for stereoscopic contents and consider little prior domain knowledge of the 3D human visual system (HVS) in network design. In this paper, we develop a Predictive Auto-encoDing ","authors_text":"Jiahua Xu, Patrick Le Callet, Suiyi Ling, Wei Zhou, Zhibo Chen","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-09-04T12:43:32Z","title":"Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1909.01738","kind":"arxiv","version":3},"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:bd2412069bafba236ab9f048803b27724cfaa2058342be48082b66660b3e93f2","target":"record","created_at":"2026-07-05T01:48:06Z","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":"b4d76593dea08a7d373137be721f8f843f724c82692d1dbdf0be9000f32adbe0","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MM","submitted_at":"2019-09-04T12:43:32Z","title_canon_sha256":"beb32417b9ce269bbb6d39c28fa23ae3958d9871bf23f6bfd55436034685aebd"},"schema_version":"1.0","source":{"id":"1909.01738","kind":"arxiv","version":3}},"canonical_sha256":"83f75053ab29dc76559e9fac5d2de6fc815c31e2f7806f5271c8c497013ff83c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"83f75053ab29dc76559e9fac5d2de6fc815c31e2f7806f5271c8c497013ff83c","first_computed_at":"2026-07-05T01:48:06.418124Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:48:06.418124Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eMnihQP4pOjdJsmK6y0Cnopdubrjx8XBfsXjrNVWIWsnaLD7qAzPM3QBe2MmdMZTpYpRowQICL2SaP+atVddBw==","signature_status":"signed_v1","signed_at":"2026-07-05T01:48:06.418488Z","signed_message":"canonical_sha256_bytes"},"source_id":"1909.01738","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd2412069bafba236ab9f048803b27724cfaa2058342be48082b66660b3e93f2","sha256:0bb94cf6d52fc28756a293312c4eb0068ed2eb72333fffb217bac9329a34d1b1"],"state_sha256":"ca485132162ef05b937da5cc9b1e28da1ba60d4a65f73b5f88c2d445369d3477"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"46net3T4LqiGrTxpzVYHFWkQCAWHdjiPXE40lFKcmww7PlZ2znzFYfAhaHNaSm4fIB785a5gaSWqcgCVu/y6Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T01:10:47.506028Z","bundle_sha256":"8a4f2d90c19292db725cb97dab6476c95daaf452a527f8ae9eac115765623d59"}}