{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:U3EUOLXFW7PRQU6BGAGYU3RTDN","short_pith_number":"pith:U3EUOLXF","canonical_record":{"source":{"id":"2402.10586","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:20:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"87e49aacb5f40c69891fbe36c11b4e75fb071936d0bbaf52ecbe603d43c69742","abstract_canon_sha256":"acb568e65b34caefc11ea5b994eba684fdc1ccdd0eda7a138d4b8499a334f39a"},"schema_version":"1.0"},"canonical_sha256":"a6c9472ee5b7df1853c1300d8a6e331b612ef165deb7c52195ae3bf69c781979","source":{"kind":"arxiv","id":"2402.10586","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10586","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10586v2","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10586","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"pith_short_12","alias_value":"U3EUOLXFW7PR","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"pith_short_16","alias_value":"U3EUOLXFW7PRQU6B","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"pith_short_8","alias_value":"U3EUOLXF","created_at":"2026-07-05T08:28:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:U3EUOLXFW7PRQU6BGAGYU3RTDN","target":"record","payload":{"canonical_record":{"source":{"id":"2402.10586","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:20:30Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"87e49aacb5f40c69891fbe36c11b4e75fb071936d0bbaf52ecbe603d43c69742","abstract_canon_sha256":"acb568e65b34caefc11ea5b994eba684fdc1ccdd0eda7a138d4b8499a334f39a"},"schema_version":"1.0"},"canonical_sha256":"a6c9472ee5b7df1853c1300d8a6e331b612ef165deb7c52195ae3bf69c781979","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:28:38.230083Z","signature_b64":"HfoMYHz2sRP+AqHJNmETYQ9mb2+uLqUaxa0HAkncIr3DjxwFqbM5D6aBYXpSIwItiIimsCIcSYum25einbFoAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a6c9472ee5b7df1853c1300d8a6e331b612ef165deb7c52195ae3bf69c781979","last_reissued_at":"2026-07-05T08:28:38.229669Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:28:38.229669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2402.10586","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":"2026-07-05T08:28:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jfS12S1yXN76KnnNy5y/vTAGY1foWNiputTfZdRmcUQQ8J5q34AgYRbKfVzBNiO4meQepVVzd+9JGgqBWl5CDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:52:55.693161Z"},"content_sha256":"2434bbe7371ea938dd6a5f60f740a12f43ad7d85e52e8362eafaecb10fc6483e","schema_version":"1.0","event_id":"sha256:2434bbe7371ea938dd6a5f60f740a12f43ad7d85e52e8362eafaecb10fc6483e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:U3EUOLXFW7PRQU6BGAGYU3RTDN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Dongyeop Kang, Kwang Hee Lee, Preston Zhu, Vipul Raheja, Zae Myung Kim","submitted_at":"2024-02-16T11:20:30Z","abstract_excerpt":"With the advent of large language models (LLM), the line between human-crafted and machine-generated texts has become increasingly blurred. This paper delves into the inquiry of identifying discernible and unique linguistic properties in texts that were written by humans, particularly uncovering the underlying discourse structures of texts beyond their surface structures. Introducing a novel methodology, we leverage hierarchical parse trees and recursive hypergraphs to unveil distinctive discourse patterns in texts produced by both LLMs and humans. Empirical findings demonstrate that, although"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10586","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/2402.10586/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":"2026-07-05T08:28:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O18ffRcNcj0JIhzN2GoGoHnWVTa9ZHAcqRIDpoQn6O486drLXWI0gaLLLPj2C0ybjFPP7l1dBCJvWSuthKx+BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T14:52:55.694397Z"},"content_sha256":"8743c65f7fe129a78e53d5e1805e0600cbaf64f000238c283f4329c76989f513","schema_version":"1.0","event_id":"sha256:8743c65f7fe129a78e53d5e1805e0600cbaf64f000238c283f4329c76989f513"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/U3EUOLXFW7PRQU6BGAGYU3RTDN/bundle.json","state_url":"https://pith.science/pith/U3EUOLXFW7PRQU6BGAGYU3RTDN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/U3EUOLXFW7PRQU6BGAGYU3RTDN/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":"2026-08-19T14:52:55Z","links":{"resolver":"https://pith.science/pith/U3EUOLXFW7PRQU6BGAGYU3RTDN","bundle":"https://pith.science/pith/U3EUOLXFW7PRQU6BGAGYU3RTDN/bundle.json","state":"https://pith.science/pith/U3EUOLXFW7PRQU6BGAGYU3RTDN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/U3EUOLXFW7PRQU6BGAGYU3RTDN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:U3EUOLXFW7PRQU6BGAGYU3RTDN","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":"acb568e65b34caefc11ea5b994eba684fdc1ccdd0eda7a138d4b8499a334f39a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:20:30Z","title_canon_sha256":"87e49aacb5f40c69891fbe36c11b4e75fb071936d0bbaf52ecbe603d43c69742"},"schema_version":"1.0","source":{"id":"2402.10586","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2402.10586","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"arxiv_version","alias_value":"2402.10586v2","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2402.10586","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"pith_short_12","alias_value":"U3EUOLXFW7PR","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"pith_short_16","alias_value":"U3EUOLXFW7PRQU6B","created_at":"2026-07-05T08:28:38Z"},{"alias_kind":"pith_short_8","alias_value":"U3EUOLXF","created_at":"2026-07-05T08:28:38Z"}],"graph_snapshots":[{"event_id":"sha256:8743c65f7fe129a78e53d5e1805e0600cbaf64f000238c283f4329c76989f513","target":"graph","created_at":"2026-07-05T08:28:38Z","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/2402.10586/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the advent of large language models (LLM), the line between human-crafted and machine-generated texts has become increasingly blurred. This paper delves into the inquiry of identifying discernible and unique linguistic properties in texts that were written by humans, particularly uncovering the underlying discourse structures of texts beyond their surface structures. Introducing a novel methodology, we leverage hierarchical parse trees and recursive hypergraphs to unveil distinctive discourse patterns in texts produced by both LLMs and humans. Empirical findings demonstrate that, although","authors_text":"Dongyeop Kang, Kwang Hee Lee, Preston Zhu, Vipul Raheja, Zae Myung Kim","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:20:30Z","title":"Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2402.10586","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":"sha256:2434bbe7371ea938dd6a5f60f740a12f43ad7d85e52e8362eafaecb10fc6483e","target":"record","created_at":"2026-07-05T08:28:38Z","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":"acb568e65b34caefc11ea5b994eba684fdc1ccdd0eda7a138d4b8499a334f39a","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CL","submitted_at":"2024-02-16T11:20:30Z","title_canon_sha256":"87e49aacb5f40c69891fbe36c11b4e75fb071936d0bbaf52ecbe603d43c69742"},"schema_version":"1.0","source":{"id":"2402.10586","kind":"arxiv","version":2}},"canonical_sha256":"a6c9472ee5b7df1853c1300d8a6e331b612ef165deb7c52195ae3bf69c781979","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a6c9472ee5b7df1853c1300d8a6e331b612ef165deb7c52195ae3bf69c781979","first_computed_at":"2026-07-05T08:28:38.229669Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:28:38.229669Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HfoMYHz2sRP+AqHJNmETYQ9mb2+uLqUaxa0HAkncIr3DjxwFqbM5D6aBYXpSIwItiIimsCIcSYum25einbFoAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:28:38.230083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2402.10586","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2434bbe7371ea938dd6a5f60f740a12f43ad7d85e52e8362eafaecb10fc6483e","sha256:8743c65f7fe129a78e53d5e1805e0600cbaf64f000238c283f4329c76989f513"],"state_sha256":"30c52662a06b10b51569499c1f8956c0499b20fc3df41c65c2febd46d8e6e1cd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zLtRztAzDSzmyYK+IvpFXOudoBHxVrgaKDn3Au7Wn7lcYTRwULncGH7AgDh5vygJx8zm6wALqGWF8UkKDL9+CA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T14:52:55.700336Z","bundle_sha256":"0d30ce659c8c9f744a651751ea25ce1e1ca288ecf1484b8093debf70fd26125d"}}