{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:2QXY2B5DIMYS5JNVSGQDAOBLWC","short_pith_number":"pith:2QXY2B5D","canonical_record":{"source":{"id":"2108.10696","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-24T12:52:47Z","cross_cats_sorted":[],"title_canon_sha256":"1432ea966fa1c2c680071038bb55d5198dbf0f2774208506989c6579f834d598","abstract_canon_sha256":"594ad960507a49b1a99d80713a6b775e4918c99acc0351ca1aed55df9bb8486c"},"schema_version":"1.0"},"canonical_sha256":"d42f8d07a343312ea5b591a030382bb0aa6a8cae443238cbd7329f2975de5c2f","source":{"kind":"arxiv","id":"2108.10696","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.10696","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"arxiv_version","alias_value":"2108.10696v2","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.10696","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"pith_short_12","alias_value":"2QXY2B5DIMYS","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"pith_short_16","alias_value":"2QXY2B5DIMYS5JNV","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"pith_short_8","alias_value":"2QXY2B5D","created_at":"2026-07-05T03:48:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:2QXY2B5DIMYS5JNVSGQDAOBLWC","target":"record","payload":{"canonical_record":{"source":{"id":"2108.10696","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-24T12:52:47Z","cross_cats_sorted":[],"title_canon_sha256":"1432ea966fa1c2c680071038bb55d5198dbf0f2774208506989c6579f834d598","abstract_canon_sha256":"594ad960507a49b1a99d80713a6b775e4918c99acc0351ca1aed55df9bb8486c"},"schema_version":"1.0"},"canonical_sha256":"d42f8d07a343312ea5b591a030382bb0aa6a8cae443238cbd7329f2975de5c2f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:48:44.460341Z","signature_b64":"UCBLUXvlAkaEAt0xrWuQCVrWTdj0j5eWOVCcKFsUdzoMVfYmKo8bPtn99UR+yQzNyaIKJya56gd60/Fzl/uiDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d42f8d07a343312ea5b591a030382bb0aa6a8cae443238cbd7329f2975de5c2f","last_reissued_at":"2026-07-05T03:48:44.459926Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:48:44.459926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2108.10696","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":"2026-07-05T03:48:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"U9rsYNgLEu+6pquXHeakUx+8uRmansZeJdZv0q5LKjtqYsTpC9w8eDxPQlT3ES5BmVSLrovCHaPaGyot9/V7CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:43:44.607336Z"},"content_sha256":"dc0ea31c797dfa0a818e57f403ee79d313b68dccf85148de70c130cf1f239528","schema_version":"1.0","event_id":"sha256:dc0ea31c797dfa0a818e57f403ee79d313b68dccf85148de70c130cf1f239528"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:2QXY2B5DIMYS5JNVSGQDAOBLWC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatio-Temporal Self-Attention Network for Video Saliency Prediction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Gongyang Li, Jijun Wang, Lihua Xu, Tianhong Zhang, Yang Wang, Zhi Liu, Ziqiang Wang","submitted_at":"2021-08-24T12:52:47Z","abstract_excerpt":"3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in this paper. However, 3D convolution encodes visual representation merely on fixed local spacetime according to its kernel size, while human attention is always attracted by relational visual features at different time. To overcome this limitation, we propose a novel Spatio-Temporal Self-Attention 3D Network (STSANet) for video saliency prediction, in which multiple Spatio-Temporal Self-Attention (STSA) modules are employed at different lev"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.10696","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/2108.10696/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":"2026-07-05T03:48:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3IPfTsL4aOi9s3FHJ+VTLTojVA+Qbu2Yx2CbblEix+AOMNu99FTZp6CtCAwXeS04vEp4nqwIv7KMiEco6G2bAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T09:43:44.607719Z"},"content_sha256":"5b2ad57a7b12767711b69ecf9a274d77f6746447446a476a902e090271181fe9","schema_version":"1.0","event_id":"sha256:5b2ad57a7b12767711b69ecf9a274d77f6746447446a476a902e090271181fe9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QXY2B5DIMYS5JNVSGQDAOBLWC/bundle.json","state_url":"https://pith.science/pith/2QXY2B5DIMYS5JNVSGQDAOBLWC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QXY2B5DIMYS5JNVSGQDAOBLWC/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":"2026-07-07T09:43:44Z","links":{"resolver":"https://pith.science/pith/2QXY2B5DIMYS5JNVSGQDAOBLWC","bundle":"https://pith.science/pith/2QXY2B5DIMYS5JNVSGQDAOBLWC/bundle.json","state":"https://pith.science/pith/2QXY2B5DIMYS5JNVSGQDAOBLWC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QXY2B5DIMYS5JNVSGQDAOBLWC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:2QXY2B5DIMYS5JNVSGQDAOBLWC","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":"594ad960507a49b1a99d80713a6b775e4918c99acc0351ca1aed55df9bb8486c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-24T12:52:47Z","title_canon_sha256":"1432ea966fa1c2c680071038bb55d5198dbf0f2774208506989c6579f834d598"},"schema_version":"1.0","source":{"id":"2108.10696","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2108.10696","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"arxiv_version","alias_value":"2108.10696v2","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.10696","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"pith_short_12","alias_value":"2QXY2B5DIMYS","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"pith_short_16","alias_value":"2QXY2B5DIMYS5JNV","created_at":"2026-07-05T03:48:44Z"},{"alias_kind":"pith_short_8","alias_value":"2QXY2B5D","created_at":"2026-07-05T03:48:44Z"}],"graph_snapshots":[{"event_id":"sha256:5b2ad57a7b12767711b69ecf9a274d77f6746447446a476a902e090271181fe9","target":"graph","created_at":"2026-07-05T03:48:44Z","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/2108.10696/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D convolutional neural networks have achieved promising results for video tasks in computer vision, including video saliency prediction that is explored in this paper. However, 3D convolution encodes visual representation merely on fixed local spacetime according to its kernel size, while human attention is always attracted by relational visual features at different time. To overcome this limitation, we propose a novel Spatio-Temporal Self-Attention 3D Network (STSANet) for video saliency prediction, in which multiple Spatio-Temporal Self-Attention (STSA) modules are employed at different lev","authors_text":"Gongyang Li, Jijun Wang, Lihua Xu, Tianhong Zhang, Yang Wang, Zhi Liu, Ziqiang Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-24T12:52:47Z","title":"Spatio-Temporal Self-Attention Network for Video Saliency Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.10696","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:dc0ea31c797dfa0a818e57f403ee79d313b68dccf85148de70c130cf1f239528","target":"record","created_at":"2026-07-05T03:48:44Z","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":"594ad960507a49b1a99d80713a6b775e4918c99acc0351ca1aed55df9bb8486c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-08-24T12:52:47Z","title_canon_sha256":"1432ea966fa1c2c680071038bb55d5198dbf0f2774208506989c6579f834d598"},"schema_version":"1.0","source":{"id":"2108.10696","kind":"arxiv","version":2}},"canonical_sha256":"d42f8d07a343312ea5b591a030382bb0aa6a8cae443238cbd7329f2975de5c2f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d42f8d07a343312ea5b591a030382bb0aa6a8cae443238cbd7329f2975de5c2f","first_computed_at":"2026-07-05T03:48:44.459926Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:48:44.459926Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UCBLUXvlAkaEAt0xrWuQCVrWTdj0j5eWOVCcKFsUdzoMVfYmKo8bPtn99UR+yQzNyaIKJya56gd60/Fzl/uiDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:48:44.460341Z","signed_message":"canonical_sha256_bytes"},"source_id":"2108.10696","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dc0ea31c797dfa0a818e57f403ee79d313b68dccf85148de70c130cf1f239528","sha256:5b2ad57a7b12767711b69ecf9a274d77f6746447446a476a902e090271181fe9"],"state_sha256":"0fd2aa5d3957907e1285a6f06a8cfe107da38bc08e014432db385a18b280130a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hsBAOLMvTi0DnUEgUZmEiFx0IJ5jtfpuH2i/AcZNde6bdJy6ihrUcbdJ4JX7zOyF3K+eKGyqxCyMA85/v6arCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T09:43:44.609661Z","bundle_sha256":"2d04d5213dce94178d4311fe8067e595965409ebfcbf89063385883c50925455"}}