{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7GPQ4VJ3TSVRTZSTMQPQYOQYJ5","short_pith_number":"pith:7GPQ4VJ3","canonical_record":{"source":{"id":"2506.01119","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-01T18:53:27Z","cross_cats_sorted":[],"title_canon_sha256":"4d0b191c042429031bc953e3bee8d4ba3c29ecaab72da28a03d75abecffd90f5","abstract_canon_sha256":"3b2dcc9c6677607a564c058965326b722b31c92c9591b211d29941fb305b6fea"},"schema_version":"1.0"},"canonical_sha256":"f99f0e553b9cab19e653641f0c3a184f6be7fb115a540d0dba075a515b5e73a9","source":{"kind":"arxiv","id":"2506.01119","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01119","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01119v1","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01119","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"pith_short_12","alias_value":"7GPQ4VJ3TSVR","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"pith_short_16","alias_value":"7GPQ4VJ3TSVRTZST","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"pith_short_8","alias_value":"7GPQ4VJ3","created_at":"2026-07-05T11:13:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7GPQ4VJ3TSVRTZSTMQPQYOQYJ5","target":"record","payload":{"canonical_record":{"source":{"id":"2506.01119","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-01T18:53:27Z","cross_cats_sorted":[],"title_canon_sha256":"4d0b191c042429031bc953e3bee8d4ba3c29ecaab72da28a03d75abecffd90f5","abstract_canon_sha256":"3b2dcc9c6677607a564c058965326b722b31c92c9591b211d29941fb305b6fea"},"schema_version":"1.0"},"canonical_sha256":"f99f0e553b9cab19e653641f0c3a184f6be7fb115a540d0dba075a515b5e73a9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:46.832924Z","signature_b64":"jsaMy4RHO5rsh6lKz7FMwjzp+cSKOd+6LssuvzyFDsh0GBGKJy+jbhhVD4+2BIrGBpP5ZD7wiojGStMHxe6+Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f99f0e553b9cab19e653641f0c3a184f6be7fb115a540d0dba075a515b5e73a9","last_reissued_at":"2026-07-05T11:13:46.832406Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:46.832406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.01119","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:13:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o/iPHrtECeIdZdBUbBp3qOUMrjd43i31j33vUNOgpDp7NvDoocSC2QSb+uOqtGm4xGbm5uV9NqSJVOUxlTuRDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:29:41.283758Z"},"content_sha256":"93b890684db1ecd5a8c6382b981c4345815cb42418de095b8a4c4463313fb4ed","schema_version":"1.0","event_id":"sha256:93b890684db1ecd5a8c6382b981c4345815cb42418de095b8a4c4463313fb4ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7GPQ4VJ3TSVRTZSTMQPQYOQYJ5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"MOOSE: Pay Attention to Temporal Dynamics for Video Understanding via Optical Flows","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dung Tran, Hieu Hoang, Hong Nguyen, Phong Nguyen, Shrikanth Narayanan","submitted_at":"2025-06-01T18:53:27Z","abstract_excerpt":"Many motion-centric video analysis tasks, such as atomic actions, detecting atypical motor behavior in individuals with autism, or analyzing articulatory motion in real-time MRI of human speech, require efficient and interpretable temporal modeling. Capturing temporal dynamics is a central challenge in video analysis, often requiring significant computational resources and fine-grained annotations that are not widely available. This paper presents MOOSE (Motion Flow Over Spatial Space), a novel temporally-centric video encoder explicitly integrating optical flow with spatial embeddings to mode"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01119","kind":"arxiv","version":1},"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/2506.01119/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":"2026-07-05T11:13:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CPREBCWLbAc4hNygvRxpEbJev3QCs30ai/XoUblTCM+Wpe8ZIB/zDBcQiyyDbXRw7pjf0Ec6rGs9azc4IwINAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T18:29:41.286267Z"},"content_sha256":"334a9423a0216c76cb7381d0eb5bd6520c7df2469ef503094d4db51049451ec4","schema_version":"1.0","event_id":"sha256:334a9423a0216c76cb7381d0eb5bd6520c7df2469ef503094d4db51049451ec4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7GPQ4VJ3TSVRTZSTMQPQYOQYJ5/bundle.json","state_url":"https://pith.science/pith/7GPQ4VJ3TSVRTZSTMQPQYOQYJ5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7GPQ4VJ3TSVRTZSTMQPQYOQYJ5/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":"2026-08-07T18:29:41Z","links":{"resolver":"https://pith.science/pith/7GPQ4VJ3TSVRTZSTMQPQYOQYJ5","bundle":"https://pith.science/pith/7GPQ4VJ3TSVRTZSTMQPQYOQYJ5/bundle.json","state":"https://pith.science/pith/7GPQ4VJ3TSVRTZSTMQPQYOQYJ5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7GPQ4VJ3TSVRTZSTMQPQYOQYJ5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7GPQ4VJ3TSVRTZSTMQPQYOQYJ5","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":"3b2dcc9c6677607a564c058965326b722b31c92c9591b211d29941fb305b6fea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-01T18:53:27Z","title_canon_sha256":"4d0b191c042429031bc953e3bee8d4ba3c29ecaab72da28a03d75abecffd90f5"},"schema_version":"1.0","source":{"id":"2506.01119","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01119","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01119v1","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01119","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"pith_short_12","alias_value":"7GPQ4VJ3TSVR","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"pith_short_16","alias_value":"7GPQ4VJ3TSVRTZST","created_at":"2026-07-05T11:13:46Z"},{"alias_kind":"pith_short_8","alias_value":"7GPQ4VJ3","created_at":"2026-07-05T11:13:46Z"}],"graph_snapshots":[{"event_id":"sha256:334a9423a0216c76cb7381d0eb5bd6520c7df2469ef503094d4db51049451ec4","target":"graph","created_at":"2026-07-05T11:13:46Z","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/2506.01119/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many motion-centric video analysis tasks, such as atomic actions, detecting atypical motor behavior in individuals with autism, or analyzing articulatory motion in real-time MRI of human speech, require efficient and interpretable temporal modeling. Capturing temporal dynamics is a central challenge in video analysis, often requiring significant computational resources and fine-grained annotations that are not widely available. This paper presents MOOSE (Motion Flow Over Spatial Space), a novel temporally-centric video encoder explicitly integrating optical flow with spatial embeddings to mode","authors_text":"Dung Tran, Hieu Hoang, Hong Nguyen, Phong Nguyen, Shrikanth Narayanan","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-01T18:53:27Z","title":"MOOSE: Pay Attention to Temporal Dynamics for Video Understanding via Optical Flows"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01119","kind":"arxiv","version":1},"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":"sha256:93b890684db1ecd5a8c6382b981c4345815cb42418de095b8a4c4463313fb4ed","target":"record","created_at":"2026-07-05T11:13:46Z","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":"3b2dcc9c6677607a564c058965326b722b31c92c9591b211d29941fb305b6fea","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-01T18:53:27Z","title_canon_sha256":"4d0b191c042429031bc953e3bee8d4ba3c29ecaab72da28a03d75abecffd90f5"},"schema_version":"1.0","source":{"id":"2506.01119","kind":"arxiv","version":1}},"canonical_sha256":"f99f0e553b9cab19e653641f0c3a184f6be7fb115a540d0dba075a515b5e73a9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f99f0e553b9cab19e653641f0c3a184f6be7fb115a540d0dba075a515b5e73a9","first_computed_at":"2026-07-05T11:13:46.832406Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:46.832406Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jsaMy4RHO5rsh6lKz7FMwjzp+cSKOd+6LssuvzyFDsh0GBGKJy+jbhhVD4+2BIrGBpP5ZD7wiojGStMHxe6+Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:46.832924Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.01119","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93b890684db1ecd5a8c6382b981c4345815cb42418de095b8a4c4463313fb4ed","sha256:334a9423a0216c76cb7381d0eb5bd6520c7df2469ef503094d4db51049451ec4"],"state_sha256":"e1cc60bc4077d5213e8c930308ef99b52bafb46be0d52c8d46f87fd5459cba07"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9zq4FkTD7Ns3mt21REbSs0WauPNJw3/pyuSMWjgfnpMdfor8LKoSkTouy8ALqeG+s8HK7NYiiY5FkoPkTdlWBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T18:29:41.300099Z","bundle_sha256":"c26fadd300d25f4ccc2a0eb49ec97e0785e3de47c94b4f55e2395d428f30d12d"}}