{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PTROZZCPKWM73DUMR4ASV5N354","short_pith_number":"pith:PTROZZCP","canonical_record":{"source":{"id":"2602.23231","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-26T17:10:58Z","cross_cats_sorted":[],"title_canon_sha256":"b0965b33fe4cbaf15fbbd6ad5b92759a8530697c4a89d5a67914be563ae76858","abstract_canon_sha256":"268d297fa7f29a21cda880017c5706d2f50a2e6f55c475de401a25c2987d3bd2"},"schema_version":"1.0"},"canonical_sha256":"7ce2ece44f5599fd8e8c8f012af5bbef3b8599113b99d7aa040747acc01169a3","source":{"kind":"arxiv","id":"2602.23231","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.23231","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"arxiv_version","alias_value":"2602.23231v2","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.23231","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"pith_short_12","alias_value":"PTROZZCPKWM7","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"pith_short_16","alias_value":"PTROZZCPKWM73DUM","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"pith_short_8","alias_value":"PTROZZCP","created_at":"2026-05-22T02:04:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PTROZZCPKWM73DUMR4ASV5N354","target":"record","payload":{"canonical_record":{"source":{"id":"2602.23231","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-26T17:10:58Z","cross_cats_sorted":[],"title_canon_sha256":"b0965b33fe4cbaf15fbbd6ad5b92759a8530697c4a89d5a67914be563ae76858","abstract_canon_sha256":"268d297fa7f29a21cda880017c5706d2f50a2e6f55c475de401a25c2987d3bd2"},"schema_version":"1.0"},"canonical_sha256":"7ce2ece44f5599fd8e8c8f012af5bbef3b8599113b99d7aa040747acc01169a3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-22T02:04:40.229061Z","signature_b64":"FQz0axdbyP0g0QFibCsgN2Y0gw4ePDPO6IqJ7I+XJfryfb/6hM+kcnVc6AN1GdPdMTspaCgNAb0bKwX/Rm3oAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7ce2ece44f5599fd8e8c8f012af5bbef3b8599113b99d7aa040747acc01169a3","last_reissued_at":"2026-05-22T02:04:40.228135Z","signature_status":"signed_v1","first_computed_at":"2026-05-22T02:04:40.228135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.23231","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":"2026-05-22T02:04:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"98hALG2lnMYljzu0e3r6If5SZ55Iy7NXhvj8wIoBN0Qpk+0hm50RyR9fGXJR2gRoklsuREWtIEDSbOCzyHgPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T17:56:11.960677Z"},"content_sha256":"2a1296ca17142901cebbd4ba2bfd0e2b4ddb986eda4e0f6a34bbeea249874bc2","schema_version":"1.0","event_id":"sha256:2a1296ca17142901cebbd4ba2bfd0e2b4ddb986eda4e0f6a34bbeea249874bc2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PTROZZCPKWM73DUMR4ASV5N354","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Skarimva: Skeleton-based Action Recognition is a Multi-view Application","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Alexander Poeppel, Daniel Bermuth, Wolfgang Reif","submitted_at":"2026-02-26T17:10:58Z","abstract_excerpt":"Human action recognition plays an important role when developing intelligent interactions between humans and machines. While there is a lot of active research on improving the machine learning algorithms for skeleton-based action recognition, not much attention has been given to the quality of the input skeleton data itself. This work demonstrates that by making use of multiple camera views to triangulate more accurate 3D~skeletons, the performance of state-of-the-art action recognition models can be improved significantly. This suggests that the quality of the input data is currently a limiti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.23231","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/2602.23231/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":"2026-05-22T02:04:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cARyaDiIP4CVBBONkQ8YX9lWIzXtjgZw5n8AZORisXDX1KThi7LLLHXcHGR3o6sCTG7gV/yXwSMPJrXKI+y7Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T17:56:11.961062Z"},"content_sha256":"08b0b3eec61a09c70608a8f335f8b744c2956bd764cde03486e41e04a5288126","schema_version":"1.0","event_id":"sha256:08b0b3eec61a09c70608a8f335f8b744c2956bd764cde03486e41e04a5288126"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PTROZZCPKWM73DUMR4ASV5N354/bundle.json","state_url":"https://pith.science/pith/PTROZZCPKWM73DUMR4ASV5N354/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PTROZZCPKWM73DUMR4ASV5N354/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":"2026-06-05T17:56:11Z","links":{"resolver":"https://pith.science/pith/PTROZZCPKWM73DUMR4ASV5N354","bundle":"https://pith.science/pith/PTROZZCPKWM73DUMR4ASV5N354/bundle.json","state":"https://pith.science/pith/PTROZZCPKWM73DUMR4ASV5N354/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PTROZZCPKWM73DUMR4ASV5N354/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PTROZZCPKWM73DUMR4ASV5N354","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":"268d297fa7f29a21cda880017c5706d2f50a2e6f55c475de401a25c2987d3bd2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-26T17:10:58Z","title_canon_sha256":"b0965b33fe4cbaf15fbbd6ad5b92759a8530697c4a89d5a67914be563ae76858"},"schema_version":"1.0","source":{"id":"2602.23231","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.23231","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"arxiv_version","alias_value":"2602.23231v2","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.23231","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"pith_short_12","alias_value":"PTROZZCPKWM7","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"pith_short_16","alias_value":"PTROZZCPKWM73DUM","created_at":"2026-05-22T02:04:40Z"},{"alias_kind":"pith_short_8","alias_value":"PTROZZCP","created_at":"2026-05-22T02:04:40Z"}],"graph_snapshots":[{"event_id":"sha256:08b0b3eec61a09c70608a8f335f8b744c2956bd764cde03486e41e04a5288126","target":"graph","created_at":"2026-05-22T02:04:40Z","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/2602.23231/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Human action recognition plays an important role when developing intelligent interactions between humans and machines. While there is a lot of active research on improving the machine learning algorithms for skeleton-based action recognition, not much attention has been given to the quality of the input skeleton data itself. This work demonstrates that by making use of multiple camera views to triangulate more accurate 3D~skeletons, the performance of state-of-the-art action recognition models can be improved significantly. This suggests that the quality of the input data is currently a limiti","authors_text":"Alexander Poeppel, Daniel Bermuth, Wolfgang Reif","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-26T17:10:58Z","title":"Skarimva: Skeleton-based Action Recognition is a Multi-view Application"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.23231","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":"sha256:2a1296ca17142901cebbd4ba2bfd0e2b4ddb986eda4e0f6a34bbeea249874bc2","target":"record","created_at":"2026-05-22T02:04:40Z","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":"268d297fa7f29a21cda880017c5706d2f50a2e6f55c475de401a25c2987d3bd2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-02-26T17:10:58Z","title_canon_sha256":"b0965b33fe4cbaf15fbbd6ad5b92759a8530697c4a89d5a67914be563ae76858"},"schema_version":"1.0","source":{"id":"2602.23231","kind":"arxiv","version":2}},"canonical_sha256":"7ce2ece44f5599fd8e8c8f012af5bbef3b8599113b99d7aa040747acc01169a3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7ce2ece44f5599fd8e8c8f012af5bbef3b8599113b99d7aa040747acc01169a3","first_computed_at":"2026-05-22T02:04:40.228135Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-22T02:04:40.228135Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FQz0axdbyP0g0QFibCsgN2Y0gw4ePDPO6IqJ7I+XJfryfb/6hM+kcnVc6AN1GdPdMTspaCgNAb0bKwX/Rm3oAg==","signature_status":"signed_v1","signed_at":"2026-05-22T02:04:40.229061Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.23231","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2a1296ca17142901cebbd4ba2bfd0e2b4ddb986eda4e0f6a34bbeea249874bc2","sha256:08b0b3eec61a09c70608a8f335f8b744c2956bd764cde03486e41e04a5288126"],"state_sha256":"6420af77b9d01e327d98571353caf692a5b42dbb918cedd448c98fe00c267d2c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QDZ0Ph58T54KCbc3KSH+07PaAWfPPiDV1ioGi7nOfcZeQwV8POK5+/7aLUMPL66IcUe7Z40c57GZjDQfafikAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T17:56:11.963170Z","bundle_sha256":"433f42c93dfbd52a30503d1f5d2d13243ace855ac683a75eb609a572cf4e8f3d"}}