{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:CJMTUWHLT372TUUNJ2C3R56QJW","short_pith_number":"pith:CJMTUWHL","canonical_record":{"source":{"id":"1812.10071","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-25T09:04:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"277ac7b825813dcbbb32a9d68471987c97f3078bd297db1694f77d3fa3bb4f99","abstract_canon_sha256":"28a2e29ad9cc35f53a5996520d872166e93111237027fb9146223344c23ec5ef"},"schema_version":"1.0"},"canonical_sha256":"12593a58eb9effa9d28d4e85b8f7d04da0b5bc78fd73660f509622cf1bcc21b2","source":{"kind":"arxiv","id":"1812.10071","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10071","created_at":"2026-05-17T23:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10071v2","created_at":"2026-05-17T23:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10071","created_at":"2026-05-17T23:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"CJMTUWHLT372","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"CJMTUWHLT372TUUN","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"CJMTUWHL","created_at":"2026-05-18T12:32:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:CJMTUWHLT372TUUNJ2C3R56QJW","target":"record","payload":{"canonical_record":{"source":{"id":"1812.10071","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-25T09:04:24Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"277ac7b825813dcbbb32a9d68471987c97f3078bd297db1694f77d3fa3bb4f99","abstract_canon_sha256":"28a2e29ad9cc35f53a5996520d872166e93111237027fb9146223344c23ec5ef"},"schema_version":"1.0"},"canonical_sha256":"12593a58eb9effa9d28d4e85b8f7d04da0b5bc78fd73660f509622cf1bcc21b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:50:22.180541Z","signature_b64":"dqCpWnc0VilfdDtqm/lLGaQSOeFjmxGNFm2Pt9JKLCxciYWgx9c2M9o5NTeZXnysAxR2+MLyjf/siBWqc49aBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12593a58eb9effa9d28d4e85b8f7d04da0b5bc78fd73660f509622cf1bcc21b2","last_reissued_at":"2026-05-17T23:50:22.179853Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:50:22.179853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1812.10071","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":"2026-05-17T23:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cNCffYd0WyuksNgpTNClzYAIZhovO+0S6yw5VpESGcexJP8Jp7AKd1zPYLwdAjzXRfDnhGRw4FtYN4xpZuhMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T16:54:45.232874Z"},"content_sha256":"b2b86c722c8e4fe8980fb5b22b02aed6789da703b2b0ac752384b7db0d93e3fc","schema_version":"1.0","event_id":"sha256:b2b86c722c8e4fe8980fb5b22b02aed6789da703b2b0ac752384b7db0d93e3fc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:CJMTUWHLT372TUUNJ2C3R56QJW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Coupled Recurrent Network (CRN)","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Bertram E. Shi, Dit Yan Yeung, Kui Jia, Lin Sun, Silvio Savarese, Yuejia Shen","submitted_at":"2018-12-25T09:04:24Z","abstract_excerpt":"Many semantic video analysis tasks can benefit from multiple, heterogenous signals. For example, in addition to the original RGB input sequences, sequences of optical flow are usually used to boost the performance of human action recognition in videos. To learn from these heterogenous input sources, existing methods reply on two-stream architectural designs that contain independent, parallel streams of Recurrent Neural Networks (RNNs). However, two-stream RNNs do not fully exploit the reciprocal information contained in the multiple signals, let alone exploit it in a recurrent manner. To this "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10071","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":"2026-05-17T23:50:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tsV2Z9L5ReNqsXcppr/PTWlLOk6PRzYvo6YIZ5f78nu1tl+J8n/AZVUie7iG4Inc1x6c1lAIAeBoUgjoSP5ZDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T16:54:45.233593Z"},"content_sha256":"898d24f1e1e44a7afd592f86054f026dd32258e8e3f71c500de38886053840dc","schema_version":"1.0","event_id":"sha256:898d24f1e1e44a7afd592f86054f026dd32258e8e3f71c500de38886053840dc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CJMTUWHLT372TUUNJ2C3R56QJW/bundle.json","state_url":"https://pith.science/pith/CJMTUWHLT372TUUNJ2C3R56QJW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CJMTUWHLT372TUUNJ2C3R56QJW/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":"2026-06-06T16:54:45Z","links":{"resolver":"https://pith.science/pith/CJMTUWHLT372TUUNJ2C3R56QJW","bundle":"https://pith.science/pith/CJMTUWHLT372TUUNJ2C3R56QJW/bundle.json","state":"https://pith.science/pith/CJMTUWHLT372TUUNJ2C3R56QJW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CJMTUWHLT372TUUNJ2C3R56QJW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:CJMTUWHLT372TUUNJ2C3R56QJW","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":"28a2e29ad9cc35f53a5996520d872166e93111237027fb9146223344c23ec5ef","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-25T09:04:24Z","title_canon_sha256":"277ac7b825813dcbbb32a9d68471987c97f3078bd297db1694f77d3fa3bb4f99"},"schema_version":"1.0","source":{"id":"1812.10071","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1812.10071","created_at":"2026-05-17T23:50:22Z"},{"alias_kind":"arxiv_version","alias_value":"1812.10071v2","created_at":"2026-05-17T23:50:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1812.10071","created_at":"2026-05-17T23:50:22Z"},{"alias_kind":"pith_short_12","alias_value":"CJMTUWHLT372","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_16","alias_value":"CJMTUWHLT372TUUN","created_at":"2026-05-18T12:32:16Z"},{"alias_kind":"pith_short_8","alias_value":"CJMTUWHL","created_at":"2026-05-18T12:32:16Z"}],"graph_snapshots":[{"event_id":"sha256:898d24f1e1e44a7afd592f86054f026dd32258e8e3f71c500de38886053840dc","target":"graph","created_at":"2026-05-17T23:50:22Z","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":"Many semantic video analysis tasks can benefit from multiple, heterogenous signals. For example, in addition to the original RGB input sequences, sequences of optical flow are usually used to boost the performance of human action recognition in videos. To learn from these heterogenous input sources, existing methods reply on two-stream architectural designs that contain independent, parallel streams of Recurrent Neural Networks (RNNs). However, two-stream RNNs do not fully exploit the reciprocal information contained in the multiple signals, let alone exploit it in a recurrent manner. To this ","authors_text":"Bertram E. Shi, Dit Yan Yeung, Kui Jia, Lin Sun, Silvio Savarese, Yuejia Shen","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-25T09:04:24Z","title":"Coupled Recurrent Network (CRN)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1812.10071","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:b2b86c722c8e4fe8980fb5b22b02aed6789da703b2b0ac752384b7db0d93e3fc","target":"record","created_at":"2026-05-17T23:50:22Z","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":"28a2e29ad9cc35f53a5996520d872166e93111237027fb9146223344c23ec5ef","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-12-25T09:04:24Z","title_canon_sha256":"277ac7b825813dcbbb32a9d68471987c97f3078bd297db1694f77d3fa3bb4f99"},"schema_version":"1.0","source":{"id":"1812.10071","kind":"arxiv","version":2}},"canonical_sha256":"12593a58eb9effa9d28d4e85b8f7d04da0b5bc78fd73660f509622cf1bcc21b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12593a58eb9effa9d28d4e85b8f7d04da0b5bc78fd73660f509622cf1bcc21b2","first_computed_at":"2026-05-17T23:50:22.179853Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:50:22.179853Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dqCpWnc0VilfdDtqm/lLGaQSOeFjmxGNFm2Pt9JKLCxciYWgx9c2M9o5NTeZXnysAxR2+MLyjf/siBWqc49aBA==","signature_status":"signed_v1","signed_at":"2026-05-17T23:50:22.180541Z","signed_message":"canonical_sha256_bytes"},"source_id":"1812.10071","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b2b86c722c8e4fe8980fb5b22b02aed6789da703b2b0ac752384b7db0d93e3fc","sha256:898d24f1e1e44a7afd592f86054f026dd32258e8e3f71c500de38886053840dc"],"state_sha256":"3da8d8530462a016b23a1def0f953d11a3edd8510b5ec43f56cb838ffaaa56bf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EKYc9fAsOANVP7z7eqImK2HzWKRxrgQG46EhBI2J0F45kiPGffijNgqRiv8PdVdHDeXhvibfJQXlFbdqTSCLAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T16:54:45.237468Z","bundle_sha256":"b447acc8b3619557bd5476ad510b8f982ad7c2b916013ec2ac11ec7439a7075c"}}