{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:JHES3MSEBTRDQBWQWASQ4QG4A7","short_pith_number":"pith:JHES3MSE","canonical_record":{"source":{"id":"2310.14724","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-23T09:01:13Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4de9ae1aa5b09a6798fe3c706067d3566323222dc85c2f8227edb989abaa822d","abstract_canon_sha256":"29c040a159338bce56579a44697559cb1c124edac7507b3eb125aeeea5ca19ae"},"schema_version":"1.0"},"canonical_sha256":"49c92db2440ce23806d0b0250e40dc07caa5166a0b6fec56eebb8bd9e3ae362f","source":{"kind":"arxiv","id":"2310.14724","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.14724","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"arxiv_version","alias_value":"2310.14724v3","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.14724","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"pith_short_12","alias_value":"JHES3MSEBTRD","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"pith_short_16","alias_value":"JHES3MSEBTRDQBWQ","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"pith_short_8","alias_value":"JHES3MSE","created_at":"2026-07-05T08:09:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:JHES3MSEBTRDQBWQWASQ4QG4A7","target":"record","payload":{"canonical_record":{"source":{"id":"2310.14724","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-23T09:01:13Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"4de9ae1aa5b09a6798fe3c706067d3566323222dc85c2f8227edb989abaa822d","abstract_canon_sha256":"29c040a159338bce56579a44697559cb1c124edac7507b3eb125aeeea5ca19ae"},"schema_version":"1.0"},"canonical_sha256":"49c92db2440ce23806d0b0250e40dc07caa5166a0b6fec56eebb8bd9e3ae362f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:09:45.580759Z","signature_b64":"YiPLlGj3dV1M1kJfHE7Bou6ciFPdsdunIg6MEjiMukZj9DWdxZ3Up9IPWOpAZ3jKxvvhYyHbxjYV+UUXRD2NBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"49c92db2440ce23806d0b0250e40dc07caa5166a0b6fec56eebb8bd9e3ae362f","last_reissued_at":"2026-07-05T08:09:45.580286Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:09:45.580286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2310.14724","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:09:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uu0cfjjTNDMyh6LiwF7O67LNcyuhcI5C6jHmVOvDrdbOqes22g6JZLtRQ+NFRrHcVwjCM9pE6cefnbaNosLZBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:57:05.921495Z"},"content_sha256":"ff7fe2f92475cf5c37abb36ee0ac443eacfda8cf2c941f4cf25d76a8333e6a5a","schema_version":"1.0","event_id":"sha256:ff7fe2f92475cf5c37abb36ee0ac443eacfda8cf2c941f4cf25d76a8333e6a5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:JHES3MSEBTRDQBWQWASQ4QG4A7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Derek F. Wong, Junchao Wu, Lidia S. Chao, Runzhe Zhan, Shu Yang, Yulin Yuan","submitted_at":"2023-10-23T09:01:13Z","abstract_excerpt":"The powerful ability to understand, follow, and generate complex language emerging from large language models (LLMs) makes LLM-generated text flood many areas of our daily lives at an incredible speed and is widely accepted by humans. As LLMs continue to expand, there is an imperative need to develop detectors that can detect LLM-generated text. This is crucial to mitigate potential misuse of LLMs and safeguard realms like artistic expression and social networks from harmful influence of LLM-generated content. The LLM-generated text detection aims to discern if a piece of text was produced by "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.14724","kind":"arxiv","version":3},"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/2310.14724/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":"2026-07-05T08:09:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"AuPOz8/5OAvg7HpBB3NL+rZTBDR10iZ9Bl3t+WbbnkPLy3uzA9w30oyoFWFOp3/owB9w+Jf7RDN1squBmXKpBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T15:57:05.922080Z"},"content_sha256":"c360032dcc942d07e3d1962c399e792e73c684dc183ea4cea505cb2efcb4a023","schema_version":"1.0","event_id":"sha256:c360032dcc942d07e3d1962c399e792e73c684dc183ea4cea505cb2efcb4a023"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JHES3MSEBTRDQBWQWASQ4QG4A7/bundle.json","state_url":"https://pith.science/pith/JHES3MSEBTRDQBWQWASQ4QG4A7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JHES3MSEBTRDQBWQWASQ4QG4A7/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":"2026-08-08T15:57:05Z","links":{"resolver":"https://pith.science/pith/JHES3MSEBTRDQBWQWASQ4QG4A7","bundle":"https://pith.science/pith/JHES3MSEBTRDQBWQWASQ4QG4A7/bundle.json","state":"https://pith.science/pith/JHES3MSEBTRDQBWQWASQ4QG4A7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JHES3MSEBTRDQBWQWASQ4QG4A7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:JHES3MSEBTRDQBWQWASQ4QG4A7","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":"29c040a159338bce56579a44697559cb1c124edac7507b3eb125aeeea5ca19ae","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-23T09:01:13Z","title_canon_sha256":"4de9ae1aa5b09a6798fe3c706067d3566323222dc85c2f8227edb989abaa822d"},"schema_version":"1.0","source":{"id":"2310.14724","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.14724","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"arxiv_version","alias_value":"2310.14724v3","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.14724","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"pith_short_12","alias_value":"JHES3MSEBTRD","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"pith_short_16","alias_value":"JHES3MSEBTRDQBWQ","created_at":"2026-07-05T08:09:45Z"},{"alias_kind":"pith_short_8","alias_value":"JHES3MSE","created_at":"2026-07-05T08:09:45Z"}],"graph_snapshots":[{"event_id":"sha256:c360032dcc942d07e3d1962c399e792e73c684dc183ea4cea505cb2efcb4a023","target":"graph","created_at":"2026-07-05T08:09:45Z","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/2310.14724/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The powerful ability to understand, follow, and generate complex language emerging from large language models (LLMs) makes LLM-generated text flood many areas of our daily lives at an incredible speed and is widely accepted by humans. As LLMs continue to expand, there is an imperative need to develop detectors that can detect LLM-generated text. This is crucial to mitigate potential misuse of LLMs and safeguard realms like artistic expression and social networks from harmful influence of LLM-generated content. The LLM-generated text detection aims to discern if a piece of text was produced by ","authors_text":"Derek F. Wong, Junchao Wu, Lidia S. Chao, Runzhe Zhan, Shu Yang, Yulin Yuan","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-23T09:01:13Z","title":"A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.14724","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:ff7fe2f92475cf5c37abb36ee0ac443eacfda8cf2c941f4cf25d76a8333e6a5a","target":"record","created_at":"2026-07-05T08:09:45Z","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":"29c040a159338bce56579a44697559cb1c124edac7507b3eb125aeeea5ca19ae","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-23T09:01:13Z","title_canon_sha256":"4de9ae1aa5b09a6798fe3c706067d3566323222dc85c2f8227edb989abaa822d"},"schema_version":"1.0","source":{"id":"2310.14724","kind":"arxiv","version":3}},"canonical_sha256":"49c92db2440ce23806d0b0250e40dc07caa5166a0b6fec56eebb8bd9e3ae362f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"49c92db2440ce23806d0b0250e40dc07caa5166a0b6fec56eebb8bd9e3ae362f","first_computed_at":"2026-07-05T08:09:45.580286Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:09:45.580286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"YiPLlGj3dV1M1kJfHE7Bou6ciFPdsdunIg6MEjiMukZj9DWdxZ3Up9IPWOpAZ3jKxvvhYyHbxjYV+UUXRD2NBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:09:45.580759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.14724","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ff7fe2f92475cf5c37abb36ee0ac443eacfda8cf2c941f4cf25d76a8333e6a5a","sha256:c360032dcc942d07e3d1962c399e792e73c684dc183ea4cea505cb2efcb4a023"],"state_sha256":"8ba510e698d5b0d262944929d7058f8d1dd8289e31fe64423e82ca03c08c5441"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u8mvhQEIeqwLlFvVDQyU6NTjOFIFzmn0D8eANvvheSlxERcyVM7l1Ci1lPngR5lUZhv4yGbUibC2fdFgSgmrAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T15:57:05.925985Z","bundle_sha256":"ef931a59b823c01dad28b8e36604d22ef159515eddb0d843cc0104b25ae1cb21"}}