{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:QMT33HEZC2HA7XZREEJZ7KCBR6","short_pith_number":"pith:QMT33HEZ","canonical_record":{"source":{"id":"2112.13697","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T14:13:30Z","cross_cats_sorted":[],"title_canon_sha256":"f1c3f0e9b26e893e5d169bab8db530e9b4e4a360f3daa8c93922da6175b42b26","abstract_canon_sha256":"c581bd51e508eb66665dc81c82a5a6d5f6819f6d59d87216fbd66687f1897bd3"},"schema_version":"1.0"},"canonical_sha256":"8327bd9c99168e0fdf3121139fa8418fbc2d5037ac1f93421385e4d65a2a8dae","source":{"kind":"arxiv","id":"2112.13697","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.13697","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"arxiv_version","alias_value":"2112.13697v4","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.13697","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"pith_short_12","alias_value":"QMT33HEZC2HA","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"pith_short_16","alias_value":"QMT33HEZC2HA7XZR","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"pith_short_8","alias_value":"QMT33HEZ","created_at":"2026-07-05T04:44:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:QMT33HEZC2HA7XZREEJZ7KCBR6","target":"record","payload":{"canonical_record":{"source":{"id":"2112.13697","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T14:13:30Z","cross_cats_sorted":[],"title_canon_sha256":"f1c3f0e9b26e893e5d169bab8db530e9b4e4a360f3daa8c93922da6175b42b26","abstract_canon_sha256":"c581bd51e508eb66665dc81c82a5a6d5f6819f6d59d87216fbd66687f1897bd3"},"schema_version":"1.0"},"canonical_sha256":"8327bd9c99168e0fdf3121139fa8418fbc2d5037ac1f93421385e4d65a2a8dae","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:44:29.029625Z","signature_b64":"0l8pfDiO97Va4IEoKOt+U6+nX1ZHAysEBJpCGv2ctAkIh96BWSS7Nu3cFA6oPtDlK96qfprd9lv5mq1+qZ0MAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8327bd9c99168e0fdf3121139fa8418fbc2d5037ac1f93421385e4d65a2a8dae","last_reissued_at":"2026-07-05T04:44:29.029257Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:44:29.029257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2112.13697","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:44:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EGniG3PYGy+0ye5m1Ms3ebn2CCqilqCX+D909WwN1lgl3lthR/36yZRc/9TnVrebogpvHHQEAxUCc/v6H+s/Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:45:19.045004Z"},"content_sha256":"1cfffa1b6a16548a734bfe6e8ae66eb746cbb2dffe1fd9749539737df3f6dccb","schema_version":"1.0","event_id":"sha256:1cfffa1b6a16548a734bfe6e8ae66eb746cbb2dffe1fd9749539737df3f6dccb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:QMT33HEZC2HA7XZREEJZ7KCBR6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Weakly Supervised Visual-Auditory Fixation Prediction with Multigranularity Perception","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Aimin Hao, Chenglizhao Chen, Deng-Ping Fan, Guotao Wang, Hong Qin","submitted_at":"2021-12-27T14:13:30Z","abstract_excerpt":"Thanks to the rapid advances in deep learning techniques and the wide availability of large-scale training sets, the performance of video saliency detection models has been improving steadily and significantly. However, deep learning-based visualaudio fixation prediction is still in its infancy. At present, only a few visual-audio sequences have been furnished, with real fixations being recorded in real visual-audio environments. Hence, it would be neither efficient nor necessary to recollect real fixations under the same visual-audio circumstances. To address this problem, this paper promotes"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.13697","kind":"arxiv","version":4},"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/2112.13697/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":"2026-07-05T04:44:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"44Nn+PBMehvTgBWB0FBOhUjA3HMhcmDg/3z1qS+DwUHlKI5WaD2O88SFGPFOSGT8m0kzfPqpM4GpgsjZ5dyyBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T01:45:19.045947Z"},"content_sha256":"c84c361983701f408285447beeb95e35867bc7c61c11cfbd70b490c782b47c0c","schema_version":"1.0","event_id":"sha256:c84c361983701f408285447beeb95e35867bc7c61c11cfbd70b490c782b47c0c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QMT33HEZC2HA7XZREEJZ7KCBR6/bundle.json","state_url":"https://pith.science/pith/QMT33HEZC2HA7XZREEJZ7KCBR6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QMT33HEZC2HA7XZREEJZ7KCBR6/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":"2026-08-07T01:45:19Z","links":{"resolver":"https://pith.science/pith/QMT33HEZC2HA7XZREEJZ7KCBR6","bundle":"https://pith.science/pith/QMT33HEZC2HA7XZREEJZ7KCBR6/bundle.json","state":"https://pith.science/pith/QMT33HEZC2HA7XZREEJZ7KCBR6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QMT33HEZC2HA7XZREEJZ7KCBR6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:QMT33HEZC2HA7XZREEJZ7KCBR6","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":"c581bd51e508eb66665dc81c82a5a6d5f6819f6d59d87216fbd66687f1897bd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T14:13:30Z","title_canon_sha256":"f1c3f0e9b26e893e5d169bab8db530e9b4e4a360f3daa8c93922da6175b42b26"},"schema_version":"1.0","source":{"id":"2112.13697","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2112.13697","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"arxiv_version","alias_value":"2112.13697v4","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2112.13697","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"pith_short_12","alias_value":"QMT33HEZC2HA","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"pith_short_16","alias_value":"QMT33HEZC2HA7XZR","created_at":"2026-07-05T04:44:29Z"},{"alias_kind":"pith_short_8","alias_value":"QMT33HEZ","created_at":"2026-07-05T04:44:29Z"}],"graph_snapshots":[{"event_id":"sha256:c84c361983701f408285447beeb95e35867bc7c61c11cfbd70b490c782b47c0c","target":"graph","created_at":"2026-07-05T04:44:29Z","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/2112.13697/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Thanks to the rapid advances in deep learning techniques and the wide availability of large-scale training sets, the performance of video saliency detection models has been improving steadily and significantly. However, deep learning-based visualaudio fixation prediction is still in its infancy. At present, only a few visual-audio sequences have been furnished, with real fixations being recorded in real visual-audio environments. Hence, it would be neither efficient nor necessary to recollect real fixations under the same visual-audio circumstances. To address this problem, this paper promotes","authors_text":"Aimin Hao, Chenglizhao Chen, Deng-Ping Fan, Guotao Wang, Hong Qin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T14:13:30Z","title":"Weakly Supervised Visual-Auditory Fixation Prediction with Multigranularity Perception"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2112.13697","kind":"arxiv","version":4},"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":"sha256:1cfffa1b6a16548a734bfe6e8ae66eb746cbb2dffe1fd9749539737df3f6dccb","target":"record","created_at":"2026-07-05T04:44:29Z","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":"c581bd51e508eb66665dc81c82a5a6d5f6819f6d59d87216fbd66687f1897bd3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-12-27T14:13:30Z","title_canon_sha256":"f1c3f0e9b26e893e5d169bab8db530e9b4e4a360f3daa8c93922da6175b42b26"},"schema_version":"1.0","source":{"id":"2112.13697","kind":"arxiv","version":4}},"canonical_sha256":"8327bd9c99168e0fdf3121139fa8418fbc2d5037ac1f93421385e4d65a2a8dae","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8327bd9c99168e0fdf3121139fa8418fbc2d5037ac1f93421385e4d65a2a8dae","first_computed_at":"2026-07-05T04:44:29.029257Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:44:29.029257Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"0l8pfDiO97Va4IEoKOt+U6+nX1ZHAysEBJpCGv2ctAkIh96BWSS7Nu3cFA6oPtDlK96qfprd9lv5mq1+qZ0MAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:44:29.029625Z","signed_message":"canonical_sha256_bytes"},"source_id":"2112.13697","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1cfffa1b6a16548a734bfe6e8ae66eb746cbb2dffe1fd9749539737df3f6dccb","sha256:c84c361983701f408285447beeb95e35867bc7c61c11cfbd70b490c782b47c0c"],"state_sha256":"9284b46b6e04c84aafffd9d75abdf38f37bcd4a0a68de3042e51b42acacc7821"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dtxnSsp6GEim2+7iTCDz1u5ng9KE5c9TLxnzpO/iAJjkLZ6yMkHYVx+VApKoetmPtAl247o/7owHH2ftwuumAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T01:45:19.052817Z","bundle_sha256":"6f648db45794478292006134ff0355fb45f33ba2ffd46b530bf7304e74c8bad9"}}