{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:H3DL7C5IN6FH6WYVMRZF7NUYFR","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":"3ffd38259986e33bd78ffe9fe780b5a3ce089f2a882f93d0b76092040b6902cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-05T13:19:17Z","title_canon_sha256":"1a646ee4eeddb43bb41df4de5c8728af03187927241897c149469c93d65af98e"},"schema_version":"1.0","source":{"id":"2301.02057","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.02057","created_at":"2026-07-05T07:05:41Z"},{"alias_kind":"arxiv_version","alias_value":"2301.02057v3","created_at":"2026-07-05T07:05:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.02057","created_at":"2026-07-05T07:05:41Z"},{"alias_kind":"pith_short_12","alias_value":"H3DL7C5IN6FH","created_at":"2026-07-05T07:05:41Z"},{"alias_kind":"pith_short_16","alias_value":"H3DL7C5IN6FH6WYV","created_at":"2026-07-05T07:05:41Z"},{"alias_kind":"pith_short_8","alias_value":"H3DL7C5I","created_at":"2026-07-05T07:05:41Z"}],"graph_snapshots":[{"event_id":"sha256:5f57a911ed7f409a15f1e1b4e69e642ea0a714c09e448a8db0f1c3a2c616fc3d","target":"graph","created_at":"2026-07-05T07:05:41Z","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/2301.02057/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"TextDescriptives is a Python package for calculating a large variety of metrics from text. It is built on top of spaCy and can be easily integrated into existing workflows. The package has already been used for analysing the linguistic stability of clinical texts, creating features for predicting neuropsychiatric conditions, and analysing linguistic goals of primary school students. This paper describes the package and its features.","authors_text":"Kenneth Enevoldsen, Lasse Hansen, Ludvig Renbo Olsen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-05T13:19:17Z","title":"TextDescriptives: A Python package for calculating a large variety of metrics from text"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.02057","kind":"arxiv","version":3},"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":"sha256:0c49aafd6200c8d00c6965c83d41ef283af6dc97897ef474c1fee934fbd162fb","target":"record","created_at":"2026-07-05T07:05:41Z","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":"3ffd38259986e33bd78ffe9fe780b5a3ce089f2a882f93d0b76092040b6902cf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2023-01-05T13:19:17Z","title_canon_sha256":"1a646ee4eeddb43bb41df4de5c8728af03187927241897c149469c93d65af98e"},"schema_version":"1.0","source":{"id":"2301.02057","kind":"arxiv","version":3}},"canonical_sha256":"3ec6bf8ba86f8a7f5b1564725fb6982c5c8222fca1c4d919e72b5fe124c19675","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ec6bf8ba86f8a7f5b1564725fb6982c5c8222fca1c4d919e72b5fe124c19675","first_computed_at":"2026-07-05T07:05:41.082538Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:05:41.082538Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lumq7nJNFtM8ZmpE6cBzUrqo2X7+HJdl+dacKPQsUMgI2hqRTLbI9fBhMOm00AWYtdaN3m2YqO8MrxvwC4+UBA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:05:41.083060Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.02057","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0c49aafd6200c8d00c6965c83d41ef283af6dc97897ef474c1fee934fbd162fb","sha256:5f57a911ed7f409a15f1e1b4e69e642ea0a714c09e448a8db0f1c3a2c616fc3d"],"state_sha256":"9142672a8e377ab852af4dbceb56a993e43a5c2218a0eafd3505724ea458976e"}