{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:XHA3PABLDWPJSHHQMZ337PHV4F","short_pith_number":"pith:XHA3PABL","canonical_record":{"source":{"id":"2505.01800","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-03T12:06:53Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0d8bea4ba691edcaaaf2044c44f946b1e0120653cc72fbac6f2699e92ad147d5","abstract_canon_sha256":"2b9ceb3f06b27e9d09309536db5db0bbc102719b1089be34ec49f1629e7ff224"},"schema_version":"1.0"},"canonical_sha256":"b9c1b7802b1d9e991cf06677bfbcf5e1648023effe6f29fbbe75c7f5c5faeeb4","source":{"kind":"arxiv","id":"2505.01800","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.01800","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"arxiv_version","alias_value":"2505.01800v1","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.01800","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"pith_short_12","alias_value":"XHA3PABLDWPJ","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"pith_short_16","alias_value":"XHA3PABLDWPJSHHQ","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"pith_short_8","alias_value":"XHA3PABL","created_at":"2026-07-05T10:58:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:XHA3PABLDWPJSHHQMZ337PHV4F","target":"record","payload":{"canonical_record":{"source":{"id":"2505.01800","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-03T12:06:53Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"0d8bea4ba691edcaaaf2044c44f946b1e0120653cc72fbac6f2699e92ad147d5","abstract_canon_sha256":"2b9ceb3f06b27e9d09309536db5db0bbc102719b1089be34ec49f1629e7ff224"},"schema_version":"1.0"},"canonical_sha256":"b9c1b7802b1d9e991cf06677bfbcf5e1648023effe6f29fbbe75c7f5c5faeeb4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:58:04.341037Z","signature_b64":"2PoeHpj9HmEQw+RgbxQjXDFcfxiFfaHWKGukoY27k5BzudZrFzVbNOGsZ7CE7eXJzL5iX3qXUaWM9NH5IX8lAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b9c1b7802b1d9e991cf06677bfbcf5e1648023effe6f29fbbe75c7f5c5faeeb4","last_reissued_at":"2026-07-05T10:58:04.340514Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:58:04.340514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.01800","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":"2026-07-05T10:58:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jciYvNkoBOxveN63Nlzed3b6Um8bpHHJXCfs7ahgeh3xhjAETbPpRLiDLTzQ1lYUU4DRvOBjGhODEKxx45cgBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:35:44.800524Z"},"content_sha256":"f9a38696b07a3fe4926dd0cf3fda63bc26b3069580efea4ebc41f46ac4be8436","schema_version":"1.0","event_id":"sha256:f9a38696b07a3fe4926dd0cf3fda63bc26b3069580efea4ebc41f46ac4be8436"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:XHA3PABLDWPJSHHQMZ337PHV4F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Chidimma Opara","submitted_at":"2025-05-03T12:06:53Z","abstract_excerpt":"The increasing sophistication of AI-generated texts highlights the urgent need for accurate and transparent detection tools, especially in educational settings, where verifying authorship is essential. Existing literature has demonstrated that the application of stylometric features with machine learning classifiers can yield excellent results. Building on this foundation, this study proposes a comprehensive framework that integrates stylometric analysis with psycholinguistic theories, offering a clear and interpretable approach to distinguishing between AI-generated and human-written texts. T"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.01800","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/2505.01800/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":"2026-07-05T10:58:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8KuxTtXRiwRAzrcUDwnMsl5cui2HgHApo6cOI/8GXCSEyJ6omrBtcj9mTA/ZU9jCCtVOTmD7sriijmZjJ0vhBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T08:35:44.801035Z"},"content_sha256":"55d976e9d62afb673f133bd228ff8dc185cd58360e7afdd89832cdc3165130f9","schema_version":"1.0","event_id":"sha256:55d976e9d62afb673f133bd228ff8dc185cd58360e7afdd89832cdc3165130f9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XHA3PABLDWPJSHHQMZ337PHV4F/bundle.json","state_url":"https://pith.science/pith/XHA3PABLDWPJSHHQMZ337PHV4F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XHA3PABLDWPJSHHQMZ337PHV4F/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":"2026-08-04T08:35:44Z","links":{"resolver":"https://pith.science/pith/XHA3PABLDWPJSHHQMZ337PHV4F","bundle":"https://pith.science/pith/XHA3PABLDWPJSHHQMZ337PHV4F/bundle.json","state":"https://pith.science/pith/XHA3PABLDWPJSHHQMZ337PHV4F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XHA3PABLDWPJSHHQMZ337PHV4F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:XHA3PABLDWPJSHHQMZ337PHV4F","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":"2b9ceb3f06b27e9d09309536db5db0bbc102719b1089be34ec49f1629e7ff224","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-03T12:06:53Z","title_canon_sha256":"0d8bea4ba691edcaaaf2044c44f946b1e0120653cc72fbac6f2699e92ad147d5"},"schema_version":"1.0","source":{"id":"2505.01800","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.01800","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"arxiv_version","alias_value":"2505.01800v1","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.01800","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"pith_short_12","alias_value":"XHA3PABLDWPJ","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"pith_short_16","alias_value":"XHA3PABLDWPJSHHQ","created_at":"2026-07-05T10:58:04Z"},{"alias_kind":"pith_short_8","alias_value":"XHA3PABL","created_at":"2026-07-05T10:58:04Z"}],"graph_snapshots":[{"event_id":"sha256:55d976e9d62afb673f133bd228ff8dc185cd58360e7afdd89832cdc3165130f9","target":"graph","created_at":"2026-07-05T10:58:04Z","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/2505.01800/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing sophistication of AI-generated texts highlights the urgent need for accurate and transparent detection tools, especially in educational settings, where verifying authorship is essential. Existing literature has demonstrated that the application of stylometric features with machine learning classifiers can yield excellent results. Building on this foundation, this study proposes a comprehensive framework that integrates stylometric analysis with psycholinguistic theories, offering a clear and interpretable approach to distinguishing between AI-generated and human-written texts. T","authors_text":"Chidimma Opara","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-03T12:06:53Z","title":"Distinguishing AI-Generated and Human-Written Text Through Psycholinguistic Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.01800","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:f9a38696b07a3fe4926dd0cf3fda63bc26b3069580efea4ebc41f46ac4be8436","target":"record","created_at":"2026-07-05T10:58:04Z","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":"2b9ceb3f06b27e9d09309536db5db0bbc102719b1089be34ec49f1629e7ff224","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-03T12:06:53Z","title_canon_sha256":"0d8bea4ba691edcaaaf2044c44f946b1e0120653cc72fbac6f2699e92ad147d5"},"schema_version":"1.0","source":{"id":"2505.01800","kind":"arxiv","version":1}},"canonical_sha256":"b9c1b7802b1d9e991cf06677bfbcf5e1648023effe6f29fbbe75c7f5c5faeeb4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b9c1b7802b1d9e991cf06677bfbcf5e1648023effe6f29fbbe75c7f5c5faeeb4","first_computed_at":"2026-07-05T10:58:04.340514Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:58:04.340514Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2PoeHpj9HmEQw+RgbxQjXDFcfxiFfaHWKGukoY27k5BzudZrFzVbNOGsZ7CE7eXJzL5iX3qXUaWM9NH5IX8lAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:58:04.341037Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.01800","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f9a38696b07a3fe4926dd0cf3fda63bc26b3069580efea4ebc41f46ac4be8436","sha256:55d976e9d62afb673f133bd228ff8dc185cd58360e7afdd89832cdc3165130f9"],"state_sha256":"13511efc4f3cae0116f0ec00b15aa17ba0d22468dc2d502eb5895129cd17af4a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"t1YN2mccCcOgUpL1FWUPstn5GM8JQrWfRDMImUNB3fwTMmul4BA5HfkK738hy8Kv4TPXsFwToGHHN5pBpriyCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T08:35:44.805584Z","bundle_sha256":"e3f32a949789501022724f36a0e1949fa6f6f80b734879cee69fdd288c58bc53"}}