{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:ZUPE2SBDPCIKTSN6QB3OWOQ53A","short_pith_number":"pith:ZUPE2SBD","canonical_record":{"source":{"id":"1605.00324","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-01T23:58:06Z","cross_cats_sorted":[],"title_canon_sha256":"9152b0e2b1a5861abbb29d78bc8afe29cae19135028d6bf80020cf2c42212907","abstract_canon_sha256":"492b92bdbab90c18dc0d59aa225da751efc121b49786a72d7f3936e871f4f42a"},"schema_version":"1.0"},"canonical_sha256":"cd1e4d48237890a9c9be8076eb3a1dd83088b097042e84c5a416221bba7234a5","source":{"kind":"arxiv","id":"1605.00324","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.00324","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"arxiv_version","alias_value":"1605.00324v1","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.00324","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"pith_short_12","alias_value":"ZUPE2SBDPCIK","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZUPE2SBDPCIKTSN6","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZUPE2SBD","created_at":"2026-05-18T12:30:55Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:ZUPE2SBDPCIKTSN6QB3OWOQ53A","target":"record","payload":{"canonical_record":{"source":{"id":"1605.00324","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-01T23:58:06Z","cross_cats_sorted":[],"title_canon_sha256":"9152b0e2b1a5861abbb29d78bc8afe29cae19135028d6bf80020cf2c42212907","abstract_canon_sha256":"492b92bdbab90c18dc0d59aa225da751efc121b49786a72d7f3936e871f4f42a"},"schema_version":"1.0"},"canonical_sha256":"cd1e4d48237890a9c9be8076eb3a1dd83088b097042e84c5a416221bba7234a5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:15:56.162412Z","signature_b64":"Oo2W+EEsUv1AdlrTRBzDRd2SgUc9uW0HQQ4kv3xyXcSXPyYZ/q6IpennZFLNFze9Nphk3rVtmfYVnuRlmZf8Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cd1e4d48237890a9c9be8076eb3a1dd83088b097042e84c5a416221bba7234a5","last_reissued_at":"2026-05-18T01:15:56.161837Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:15:56.161837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1605.00324","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":"2026-05-18T01:15:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n62eHVuBDxEP+5RRpaApMhbpbRRxzM95fvNPXIhKgpabf7aps8G2hxnSkZrZUQSDLnNdsWfEnPjJXnHsDVZ4AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T05:12:55.688069Z"},"content_sha256":"a7d0021049798b8dd999ea827b30806c439c5169aaf17ba71468024911922bc7","schema_version":"1.0","event_id":"sha256:a7d0021049798b8dd999ea827b30806c439c5169aaf17ba71468024911922bc7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:ZUPE2SBDPCIKTSN6QB3OWOQ53A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Dominant Codewords Selection with Topic Model for Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hirokatsu Kataoka, Kenji Iwata, Masaki Hayashi, Slobodan Ilic, Yoshimitsu Aoki, Yutaka Satoh","submitted_at":"2016-05-01T23:58:06Z","abstract_excerpt":"In this paper, we propose a framework for recognizing human activities that uses only in-topic dominant codewords and a mixture of intertopic vectors. Latent Dirichlet allocation (LDA) is used to develop approximations of human motion primitives; these are mid-level representations, and they adaptively integrate dominant vectors when classifying human activities. In LDA topic modeling, action videos (documents) are represented by a bag-of-words (input from a dictionary), and these are based on improved dense trajectories. The output topics correspond to human motion primitives, such as finger "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.00324","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":""},"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":"2026-05-18T01:15:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ewNggNjOCpre7X7o+tOL5dgsDVOywiCMHBmELz+92kErMfqbXcGmYDSru1bsKf6WRgIZivNnGyk6AKp9u9zoCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T05:12:55.688832Z"},"content_sha256":"07f4faf4754c534b7973be62404ed22de5685ad8388f9ef7a8b1e8eebaaf2b86","schema_version":"1.0","event_id":"sha256:07f4faf4754c534b7973be62404ed22de5685ad8388f9ef7a8b1e8eebaaf2b86"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZUPE2SBDPCIKTSN6QB3OWOQ53A/bundle.json","state_url":"https://pith.science/pith/ZUPE2SBDPCIKTSN6QB3OWOQ53A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZUPE2SBDPCIKTSN6QB3OWOQ53A/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":"2026-06-10T05:12:55Z","links":{"resolver":"https://pith.science/pith/ZUPE2SBDPCIKTSN6QB3OWOQ53A","bundle":"https://pith.science/pith/ZUPE2SBDPCIKTSN6QB3OWOQ53A/bundle.json","state":"https://pith.science/pith/ZUPE2SBDPCIKTSN6QB3OWOQ53A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZUPE2SBDPCIKTSN6QB3OWOQ53A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:ZUPE2SBDPCIKTSN6QB3OWOQ53A","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":"492b92bdbab90c18dc0d59aa225da751efc121b49786a72d7f3936e871f4f42a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-01T23:58:06Z","title_canon_sha256":"9152b0e2b1a5861abbb29d78bc8afe29cae19135028d6bf80020cf2c42212907"},"schema_version":"1.0","source":{"id":"1605.00324","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1605.00324","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"arxiv_version","alias_value":"1605.00324v1","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1605.00324","created_at":"2026-05-18T01:15:56Z"},{"alias_kind":"pith_short_12","alias_value":"ZUPE2SBDPCIK","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_16","alias_value":"ZUPE2SBDPCIKTSN6","created_at":"2026-05-18T12:30:55Z"},{"alias_kind":"pith_short_8","alias_value":"ZUPE2SBD","created_at":"2026-05-18T12:30:55Z"}],"graph_snapshots":[{"event_id":"sha256:07f4faf4754c534b7973be62404ed22de5685ad8388f9ef7a8b1e8eebaaf2b86","target":"graph","created_at":"2026-05-18T01:15:56Z","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":"In this paper, we propose a framework for recognizing human activities that uses only in-topic dominant codewords and a mixture of intertopic vectors. Latent Dirichlet allocation (LDA) is used to develop approximations of human motion primitives; these are mid-level representations, and they adaptively integrate dominant vectors when classifying human activities. In LDA topic modeling, action videos (documents) are represented by a bag-of-words (input from a dictionary), and these are based on improved dense trajectories. The output topics correspond to human motion primitives, such as finger ","authors_text":"Hirokatsu Kataoka, Kenji Iwata, Masaki Hayashi, Slobodan Ilic, Yoshimitsu Aoki, Yutaka Satoh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-01T23:58:06Z","title":"Dominant Codewords Selection with Topic Model for Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1605.00324","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:a7d0021049798b8dd999ea827b30806c439c5169aaf17ba71468024911922bc7","target":"record","created_at":"2026-05-18T01:15:56Z","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":"492b92bdbab90c18dc0d59aa225da751efc121b49786a72d7f3936e871f4f42a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2016-05-01T23:58:06Z","title_canon_sha256":"9152b0e2b1a5861abbb29d78bc8afe29cae19135028d6bf80020cf2c42212907"},"schema_version":"1.0","source":{"id":"1605.00324","kind":"arxiv","version":1}},"canonical_sha256":"cd1e4d48237890a9c9be8076eb3a1dd83088b097042e84c5a416221bba7234a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cd1e4d48237890a9c9be8076eb3a1dd83088b097042e84c5a416221bba7234a5","first_computed_at":"2026-05-18T01:15:56.161837Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:15:56.161837Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oo2W+EEsUv1AdlrTRBzDRd2SgUc9uW0HQQ4kv3xyXcSXPyYZ/q6IpennZFLNFze9Nphk3rVtmfYVnuRlmZf8Ag==","signature_status":"signed_v1","signed_at":"2026-05-18T01:15:56.162412Z","signed_message":"canonical_sha256_bytes"},"source_id":"1605.00324","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a7d0021049798b8dd999ea827b30806c439c5169aaf17ba71468024911922bc7","sha256:07f4faf4754c534b7973be62404ed22de5685ad8388f9ef7a8b1e8eebaaf2b86"],"state_sha256":"f7f5b6d91994307b865a409bf6bcd1df80b90c149de4a674aeefd2f57541b501"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"v+f29UEQDVPz0fYS+HtHa7kWRxq+Tf9AmxbHmg6dRlpL40Ghy7XE6e5nruRDbnSrrRAsQzY+T7RdArjRBxBdCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T05:12:55.693239Z","bundle_sha256":"8bb18fc466a18b24b38eb856d805f4b41c871f0fa2792f7d5a06337bb6a5807c"}}