{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2023:D5LDNNBGO65CKFSFIUNGR77GNJ","short_pith_number":"pith:D5LDNNBG","schema_version":"1.0","canonical_sha256":"1f5636b42677ba251645451a68ffe66a784e34eedf34b64b03b9687c0fb5ad6c","source":{"kind":"arxiv","id":"2310.09066","version":1},"attestation_state":"computed","paper":{"title":"pose-format: Library for Viewing, Augmenting, and Handling .pose Files","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amit Moryossef, Mathias M\\\"uller, Rebecka Fahrni","submitted_at":"2023-10-13T12:41:28Z","abstract_excerpt":"Managing and analyzing pose data is a complex task, with challenges ranging from handling diverse file structures and data types to facilitating effective data manipulations such as normalization and augmentation. This paper presents \\texttt{pose-format}, a comprehensive toolkit designed to address these challenges by providing a unified, flexible, and easy-to-use interface. The library includes a specialized file format that encapsulates various types of pose data, accommodating multiple individuals and an indefinite number of time frames, thus proving its utility for both image and video dat"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2310.09066","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-10-13T12:41:28Z","cross_cats_sorted":[],"title_canon_sha256":"2d70a3815ad649f3aaea373b71dd61a0b910eb91e81aeed7b39b3234653ac99b","abstract_canon_sha256":"34d11ffbb0346eb69bcb3cef84db3fb4aef47c1d36af0f840311cd9893c740b5"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:00:39.406308Z","signature_b64":"OEwmdF7yStXl6QzpYtv+bnTYgkSCh2edekBHGtrNdD37q9bb/+QmQ46x70iOORxLBWHuWKem16z7r/Ph+MgfDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1f5636b42677ba251645451a68ffe66a784e34eedf34b64b03b9687c0fb5ad6c","last_reissued_at":"2026-07-05T07:00:39.405972Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:00:39.405972Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"pose-format: Library for Viewing, Augmenting, and Handling .pose Files","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Amit Moryossef, Mathias M\\\"uller, Rebecka Fahrni","submitted_at":"2023-10-13T12:41:28Z","abstract_excerpt":"Managing and analyzing pose data is a complex task, with challenges ranging from handling diverse file structures and data types to facilitating effective data manipulations such as normalization and augmentation. This paper presents \\texttt{pose-format}, a comprehensive toolkit designed to address these challenges by providing a unified, flexible, and easy-to-use interface. The library includes a specialized file format that encapsulates various types of pose data, accommodating multiple individuals and an indefinite number of time frames, thus proving its utility for both image and video dat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.09066","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/2310.09066/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2310.09066","created_at":"2026-07-05T07:00:39.406020+00:00"},{"alias_kind":"arxiv_version","alias_value":"2310.09066v1","created_at":"2026-07-05T07:00:39.406020+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.09066","created_at":"2026-07-05T07:00:39.406020+00:00"},{"alias_kind":"pith_short_12","alias_value":"D5LDNNBGO65C","created_at":"2026-07-05T07:00:39.406020+00:00"},{"alias_kind":"pith_short_16","alias_value":"D5LDNNBGO65CKFSF","created_at":"2026-07-05T07:00:39.406020+00:00"},{"alias_kind":"pith_short_8","alias_value":"D5LDNNBG","created_at":"2026-07-05T07:00:39.406020+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2509.09729","citing_title":"MultimodalHugs: Enabling Sign Language Processing in Hugging Face","ref_index":36,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ","json":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ.json","graph_json":"https://pith.science/api/pith-number/D5LDNNBGO65CKFSFIUNGR77GNJ/graph.json","events_json":"https://pith.science/api/pith-number/D5LDNNBGO65CKFSFIUNGR77GNJ/events.json","paper":"https://pith.science/paper/D5LDNNBG"},"agent_actions":{"view_html":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ","download_json":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ.json","view_paper":"https://pith.science/paper/D5LDNNBG","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2310.09066&json=true","fetch_graph":"https://pith.science/api/pith-number/D5LDNNBGO65CKFSFIUNGR77GNJ/graph.json","fetch_events":"https://pith.science/api/pith-number/D5LDNNBGO65CKFSFIUNGR77GNJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ/action/storage_attestation","attest_author":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ/action/author_attestation","sign_citation":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ/action/citation_signature","submit_replication":"https://pith.science/pith/D5LDNNBGO65CKFSFIUNGR77GNJ/action/replication_record"}},"created_at":"2026-07-05T07:00:39.406020+00:00","updated_at":"2026-07-05T07:00:39.406020+00:00"}