{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:5WTQSRQCYFS6OYWS6M5RO6Y54J","short_pith_number":"pith:5WTQSRQC","canonical_record":{"source":{"id":"1707.03993","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-13T07:02:37Z","cross_cats_sorted":[],"title_canon_sha256":"b98aa733373ab13594bae7c2428c3a00b67c84737b88531f0f44d57fde4687ed","abstract_canon_sha256":"8f44ab977688f4eefa585840f1006af7587eb71c868c56d89283ec27d465b5cb"},"schema_version":"1.0"},"canonical_sha256":"eda7094602c165e762d2f33b177b1de24af5ff13a75468151935804429ad4727","source":{"kind":"arxiv","id":"1707.03993","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.03993","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"arxiv_version","alias_value":"1707.03993v2","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.03993","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"pith_short_12","alias_value":"5WTQSRQCYFS6","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"pith_short_16","alias_value":"5WTQSRQCYFS6OYWS","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"pith_short_8","alias_value":"5WTQSRQC","created_at":"2026-07-05T00:25:49Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:5WTQSRQCYFS6OYWS6M5RO6Y54J","target":"record","payload":{"canonical_record":{"source":{"id":"1707.03993","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-13T07:02:37Z","cross_cats_sorted":[],"title_canon_sha256":"b98aa733373ab13594bae7c2428c3a00b67c84737b88531f0f44d57fde4687ed","abstract_canon_sha256":"8f44ab977688f4eefa585840f1006af7587eb71c868c56d89283ec27d465b5cb"},"schema_version":"1.0"},"canonical_sha256":"eda7094602c165e762d2f33b177b1de24af5ff13a75468151935804429ad4727","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:25:49.261079Z","signature_b64":"MO2Q5mtYDDHgwu7P+UCcUcLp4jGu1dP0ZXYkt09OwjJodykSmep0wzsJDJooG1zWdy6ktZ/aN50l8J4FubvNDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"eda7094602c165e762d2f33b177b1de24af5ff13a75468151935804429ad4727","last_reissued_at":"2026-07-05T00:25:49.260659Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:25:49.260659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1707.03993","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":"2026-07-05T00:25:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DMbO/n6e+lP316aFiT8Rg6EOmug7xL09Y05tKaT9OgmMesbYz4tmTWuC4PUpN56hesnV3nf1jvIniPkBTKiLAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:47:16.505033Z"},"content_sha256":"10ba7b0a54805f9e88a31a397a7f3c6115cfdb2452a0fc27d5ae9237c9fa93c9","schema_version":"1.0","event_id":"sha256:10ba7b0a54805f9e88a31a397a7f3c6115cfdb2452a0fc27d5ae9237c9fa93c9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:5WTQSRQCYFS6OYWS6M5RO6Y54J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Cordelia Schmid, Hao Ni, Lianwen Jin, Terry Lyons, Weixin Yang","submitted_at":"2017-07-13T07:02:37Z","abstract_excerpt":"Landmark-based human action recognition in videos is a challenging task in computer vision. One key step is to design a generic approach that generates discriminative features for the spatial structure and temporal dynamics. To this end, we regard the evolving landmark data as a high-dimensional path and apply non-linear path signature techniques to provide an expressive, robust, non-linear, and interpretable representation for the sequential events. We do not extract signature features from the raw path, rather we propose path disintegrations and path transformations as preprocessing steps. P"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.03993","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/1707.03993/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":"2026-07-05T00:25:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iRrRnvYhYhzf0Gna+Ng5zXmzf9u+mgsjRbg0ZJ8jf1Oe/FzUPHAO8YQw6H17oXOJINNW5rv0dyAzyPCPMXQJCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-15T05:47:16.505553Z"},"content_sha256":"a56e353db10279429fbe93daa0cd8b1a6f912b89a884d583a90bb130b1588087","schema_version":"1.0","event_id":"sha256:a56e353db10279429fbe93daa0cd8b1a6f912b89a884d583a90bb130b1588087"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5WTQSRQCYFS6OYWS6M5RO6Y54J/bundle.json","state_url":"https://pith.science/pith/5WTQSRQCYFS6OYWS6M5RO6Y54J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5WTQSRQCYFS6OYWS6M5RO6Y54J/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":"2026-08-15T05:47:16Z","links":{"resolver":"https://pith.science/pith/5WTQSRQCYFS6OYWS6M5RO6Y54J","bundle":"https://pith.science/pith/5WTQSRQCYFS6OYWS6M5RO6Y54J/bundle.json","state":"https://pith.science/pith/5WTQSRQCYFS6OYWS6M5RO6Y54J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5WTQSRQCYFS6OYWS6M5RO6Y54J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:5WTQSRQCYFS6OYWS6M5RO6Y54J","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":"8f44ab977688f4eefa585840f1006af7587eb71c868c56d89283ec27d465b5cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-13T07:02:37Z","title_canon_sha256":"b98aa733373ab13594bae7c2428c3a00b67c84737b88531f0f44d57fde4687ed"},"schema_version":"1.0","source":{"id":"1707.03993","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1707.03993","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"arxiv_version","alias_value":"1707.03993v2","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1707.03993","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"pith_short_12","alias_value":"5WTQSRQCYFS6","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"pith_short_16","alias_value":"5WTQSRQCYFS6OYWS","created_at":"2026-07-05T00:25:49Z"},{"alias_kind":"pith_short_8","alias_value":"5WTQSRQC","created_at":"2026-07-05T00:25:49Z"}],"graph_snapshots":[{"event_id":"sha256:a56e353db10279429fbe93daa0cd8b1a6f912b89a884d583a90bb130b1588087","target":"graph","created_at":"2026-07-05T00:25:49Z","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/1707.03993/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Landmark-based human action recognition in videos is a challenging task in computer vision. One key step is to design a generic approach that generates discriminative features for the spatial structure and temporal dynamics. To this end, we regard the evolving landmark data as a high-dimensional path and apply non-linear path signature techniques to provide an expressive, robust, non-linear, and interpretable representation for the sequential events. We do not extract signature features from the raw path, rather we propose path disintegrations and path transformations as preprocessing steps. P","authors_text":"Cordelia Schmid, Hao Ni, Lianwen Jin, Terry Lyons, Weixin Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-13T07:02:37Z","title":"Developing the Path Signature Methodology and its Application to Landmark-based Human Action Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1707.03993","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":"sha256:10ba7b0a54805f9e88a31a397a7f3c6115cfdb2452a0fc27d5ae9237c9fa93c9","target":"record","created_at":"2026-07-05T00:25:49Z","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":"8f44ab977688f4eefa585840f1006af7587eb71c868c56d89283ec27d465b5cb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-07-13T07:02:37Z","title_canon_sha256":"b98aa733373ab13594bae7c2428c3a00b67c84737b88531f0f44d57fde4687ed"},"schema_version":"1.0","source":{"id":"1707.03993","kind":"arxiv","version":2}},"canonical_sha256":"eda7094602c165e762d2f33b177b1de24af5ff13a75468151935804429ad4727","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"eda7094602c165e762d2f33b177b1de24af5ff13a75468151935804429ad4727","first_computed_at":"2026-07-05T00:25:49.260659Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:25:49.260659Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MO2Q5mtYDDHgwu7P+UCcUcLp4jGu1dP0ZXYkt09OwjJodykSmep0wzsJDJooG1zWdy6ktZ/aN50l8J4FubvNDA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:25:49.261079Z","signed_message":"canonical_sha256_bytes"},"source_id":"1707.03993","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:10ba7b0a54805f9e88a31a397a7f3c6115cfdb2452a0fc27d5ae9237c9fa93c9","sha256:a56e353db10279429fbe93daa0cd8b1a6f912b89a884d583a90bb130b1588087"],"state_sha256":"342dfe1e6d1e080bc2bb4c76e6183851159ad71679aff9c22ceb95273de14594"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WMd8V7tyelgG9PBFFT2bjJwiCZL/EXDSLsGapgAJG3M7HAGiZnLV1bVOjXXQrVL9oFjumkVoCbw1j4Ki2nH7AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-15T05:47:16.509226Z","bundle_sha256":"0572a4de2d3803b1536029f85d933857d72979834689179c95cbeef164b0d688"}}