{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BTQ5SUMX6MM7HJNYQKRIRAD6B6","short_pith_number":"pith:BTQ5SUMX","canonical_record":{"source":{"id":"2505.15261","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T08:39:18Z","cross_cats_sorted":[],"title_canon_sha256":"8146c51b3a31323eacda6a1afaa0b29ed4177b46ce27d56927b0f83e86657084","abstract_canon_sha256":"ee9f6190a9e3a20eb5e13253d09bd486391552de45697c16460d8e43c58fe3b8"},"schema_version":"1.0"},"canonical_sha256":"0ce1d95197f319f3a5b882a288807e0f85dbb44bcf745ddbbad53d3427223734","source":{"kind":"arxiv","id":"2505.15261","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15261","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15261v1","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15261","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"pith_short_12","alias_value":"BTQ5SUMX6MM7","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"pith_short_16","alias_value":"BTQ5SUMX6MM7HJNY","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"pith_short_8","alias_value":"BTQ5SUMX","created_at":"2026-07-05T11:06:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BTQ5SUMX6MM7HJNYQKRIRAD6B6","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15261","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T08:39:18Z","cross_cats_sorted":[],"title_canon_sha256":"8146c51b3a31323eacda6a1afaa0b29ed4177b46ce27d56927b0f83e86657084","abstract_canon_sha256":"ee9f6190a9e3a20eb5e13253d09bd486391552de45697c16460d8e43c58fe3b8"},"schema_version":"1.0"},"canonical_sha256":"0ce1d95197f319f3a5b882a288807e0f85dbb44bcf745ddbbad53d3427223734","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:42.887679Z","signature_b64":"nQK3oxOfTWH2XJo+kck7Bo0GiDYOx2MIFir54BakAU5GAosjCX6iSHb5xDT/kf922djJy1tGj19erIVoyZpiAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0ce1d95197f319f3a5b882a288807e0f85dbb44bcf745ddbbad53d3427223734","last_reissued_at":"2026-07-05T11:06:42.887232Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:42.887232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15261","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":"2026-07-05T11:06:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B0ZvCX3Yeccg4nwDGjw5gX2Nv2gtDn6RTpjJ8Wb5PQ6sEfhj1Z3OBAuWVicJRP4Y1Nhs9YYN8pDy9QpjolGbAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T22:01:46.321918Z"},"content_sha256":"be5896351431a93eac6f2b6f7582e0f34bbcbb159a1be68c73af3c3418847067","schema_version":"1.0","event_id":"sha256:be5896351431a93eac6f2b6f7582e0f34bbcbb159a1be68c73af3c3418847067"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BTQ5SUMX6MM7HJNYQKRIRAD6B6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AGENT-X: Adaptive Guideline-based Expert Network for Threshold-free AI-generated teXt detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Cheng Peng, Jiatao Li, Mao Ye, Xiaojun Wan, Xunjian Yin","submitted_at":"2025-05-21T08:39:18Z","abstract_excerpt":"Existing AI-generated text detection methods heavily depend on large annotated datasets and external threshold tuning, restricting interpretability, adaptability, and zero-shot effectiveness. To address these limitations, we propose AGENT-X, a zero-shot multi-agent framework informed by classical rhetoric and systemic functional linguistics. Specifically, we organize detection guidelines into semantic, stylistic, and structural dimensions, each independently evaluated by specialized linguistic agents that provide explicit reasoning and robust calibrated confidence via semantic steering. A meta"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15261","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/2505.15261/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":"2026-07-05T11:06:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HCY6ajYSNJQLflVRIuMn59GkiOgj70esUAsnax1qC6zuEQjsejuVvl4aoT6/JK8qKm322FGemxPFHvvMbHqqAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T22:01:46.322991Z"},"content_sha256":"0b91c7cfbfcbaff8417e82d43fa6c4497bebab7713475362860f2f2f376f1ecd","schema_version":"1.0","event_id":"sha256:0b91c7cfbfcbaff8417e82d43fa6c4497bebab7713475362860f2f2f376f1ecd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BTQ5SUMX6MM7HJNYQKRIRAD6B6/bundle.json","state_url":"https://pith.science/pith/BTQ5SUMX6MM7HJNYQKRIRAD6B6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BTQ5SUMX6MM7HJNYQKRIRAD6B6/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":"2026-08-21T22:01:46Z","links":{"resolver":"https://pith.science/pith/BTQ5SUMX6MM7HJNYQKRIRAD6B6","bundle":"https://pith.science/pith/BTQ5SUMX6MM7HJNYQKRIRAD6B6/bundle.json","state":"https://pith.science/pith/BTQ5SUMX6MM7HJNYQKRIRAD6B6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BTQ5SUMX6MM7HJNYQKRIRAD6B6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BTQ5SUMX6MM7HJNYQKRIRAD6B6","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":"ee9f6190a9e3a20eb5e13253d09bd486391552de45697c16460d8e43c58fe3b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T08:39:18Z","title_canon_sha256":"8146c51b3a31323eacda6a1afaa0b29ed4177b46ce27d56927b0f83e86657084"},"schema_version":"1.0","source":{"id":"2505.15261","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15261","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15261v1","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15261","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"pith_short_12","alias_value":"BTQ5SUMX6MM7","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"pith_short_16","alias_value":"BTQ5SUMX6MM7HJNY","created_at":"2026-07-05T11:06:42Z"},{"alias_kind":"pith_short_8","alias_value":"BTQ5SUMX","created_at":"2026-07-05T11:06:42Z"}],"graph_snapshots":[{"event_id":"sha256:0b91c7cfbfcbaff8417e82d43fa6c4497bebab7713475362860f2f2f376f1ecd","target":"graph","created_at":"2026-07-05T11:06:42Z","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/2505.15261/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Existing AI-generated text detection methods heavily depend on large annotated datasets and external threshold tuning, restricting interpretability, adaptability, and zero-shot effectiveness. To address these limitations, we propose AGENT-X, a zero-shot multi-agent framework informed by classical rhetoric and systemic functional linguistics. Specifically, we organize detection guidelines into semantic, stylistic, and structural dimensions, each independently evaluated by specialized linguistic agents that provide explicit reasoning and robust calibrated confidence via semantic steering. A meta","authors_text":"Cheng Peng, Jiatao Li, Mao Ye, Xiaojun Wan, Xunjian Yin","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T08:39:18Z","title":"AGENT-X: Adaptive Guideline-based Expert Network for Threshold-free AI-generated teXt detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15261","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:be5896351431a93eac6f2b6f7582e0f34bbcbb159a1be68c73af3c3418847067","target":"record","created_at":"2026-07-05T11:06:42Z","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":"ee9f6190a9e3a20eb5e13253d09bd486391552de45697c16460d8e43c58fe3b8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-05-21T08:39:18Z","title_canon_sha256":"8146c51b3a31323eacda6a1afaa0b29ed4177b46ce27d56927b0f83e86657084"},"schema_version":"1.0","source":{"id":"2505.15261","kind":"arxiv","version":1}},"canonical_sha256":"0ce1d95197f319f3a5b882a288807e0f85dbb44bcf745ddbbad53d3427223734","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0ce1d95197f319f3a5b882a288807e0f85dbb44bcf745ddbbad53d3427223734","first_computed_at":"2026-07-05T11:06:42.887232Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:42.887232Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nQK3oxOfTWH2XJo+kck7Bo0GiDYOx2MIFir54BakAU5GAosjCX6iSHb5xDT/kf922djJy1tGj19erIVoyZpiAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:42.887679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15261","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:be5896351431a93eac6f2b6f7582e0f34bbcbb159a1be68c73af3c3418847067","sha256:0b91c7cfbfcbaff8417e82d43fa6c4497bebab7713475362860f2f2f376f1ecd"],"state_sha256":"a813552efa164e3cb42d13c6c39e584e4f156c8c555991894bc27ce7a8168596"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VU/MBGHWgmI2a5G6WGSHbSU3kqUlJunSnXAGUkDjJx/hY9j17+DMTau7MLs6mTiVOVsky5X0r5vDwVS5i0N7BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T22:01:46.333941Z","bundle_sha256":"4de36c849a35fa712f2b462c4bdc3133a520b96b74e1566809b862c0ac1cc218"}}