{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:EPJSTLX7YHRO3BFUDQNOR75OSC","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":"b2badf17170278d92339f294bc7d64f2b21ba9760f2c7aa3f54e389c31465e60","cross_cats_sorted":["cs.AI","cs.CY","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T09:10:26Z","title_canon_sha256":"45762b4ba0cc6674218e680ed79d638aeb61b77e037c5dbe18320c3454be8555"},"schema_version":"1.0","source":{"id":"2310.15654","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2310.15654","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2310.15654v1","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2310.15654","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"EPJSTLX7YHRO","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"EPJSTLX7YHRO3BFU","created_at":"2026-07-05T07:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"EPJSTLX7","created_at":"2026-07-05T07:04:29Z"}],"graph_snapshots":[{"event_id":"sha256:e93641ca99639844f615ffe4cd59da333ea37abaa7dd301c6807566e65d4a448","target":"graph","created_at":"2026-07-05T07:04:29Z","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/2310.15654/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The burgeoning capabilities of advanced large language models (LLMs) such as ChatGPT have led to an increase in synthetic content generation with implications across a variety of sectors, including media, cybersecurity, public discourse, and education. As such, the ability to detect LLMs-generated content has become of paramount importance. We aim to provide a detailed overview of existing detection strategies and benchmarks, scrutinizing their differences and identifying key challenges and prospects in the field, advocating for more adaptable and robust models to enhance detection accuracy. W","authors_text":"Haifeng Chen, Liangming Pan, Linda Petzold, Wei Cheng, William Yang Wang, Xianjun Yang, Xuandong Zhao","cross_cats":["cs.AI","cs.CY","cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T09:10:26Z","title":"A Survey on Detection of LLMs-Generated Content"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2310.15654","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":"sha256:453a1de2e1f85a56f36f355d23436d8fc61d688344b37624b04cc282cc53db25","target":"record","created_at":"2026-07-05T07:04:29Z","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":"b2badf17170278d92339f294bc7d64f2b21ba9760f2c7aa3f54e389c31465e60","cross_cats_sorted":["cs.AI","cs.CY","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-10-24T09:10:26Z","title_canon_sha256":"45762b4ba0cc6674218e680ed79d638aeb61b77e037c5dbe18320c3454be8555"},"schema_version":"1.0","source":{"id":"2310.15654","kind":"arxiv","version":1}},"canonical_sha256":"23d329aeffc1e2ed84b41c1ae8ffae909324052592276a6f98095e0c2baa6b0f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"23d329aeffc1e2ed84b41c1ae8ffae909324052592276a6f98095e0c2baa6b0f","first_computed_at":"2026-07-05T07:04:29.110623Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:04:29.110623Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"foAIIwXcTRKlv+l60r4BcRhQlLFG62QIAICo1EzfzPlMaPyaddTlpf8Mlrr8CrqkAp/573nBMAPf2nCTGQJTCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:04:29.111066Z","signed_message":"canonical_sha256_bytes"},"source_id":"2310.15654","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:453a1de2e1f85a56f36f355d23436d8fc61d688344b37624b04cc282cc53db25","sha256:e93641ca99639844f615ffe4cd59da333ea37abaa7dd301c6807566e65d4a448"],"state_sha256":"f7ed19b47c56332233577822f349519a7eac3b9d883041294134ff45da5d9944"}