{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:S6EKTPMBYDXWWC6JR53EDFFOQK","short_pith_number":"pith:S6EKTPMB","canonical_record":{"source":{"id":"2506.12843","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-15T13:30:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"12fd3e82a479848bd269f8f3ed9a240838199c70f430dabce97e5c8626d8159b","abstract_canon_sha256":"ffbea91e251e9b8c44bed657c151b50af306d7abf03d658d88a4a38a0d1da3a1"},"schema_version":"1.0"},"canonical_sha256":"9788a9bd81c0ef6b0bc98f764194ae82bae066578a3887345b77e41cba8e78f5","source":{"kind":"arxiv","id":"2506.12843","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12843","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12843v1","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12843","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"S6EKTPMBYDXW","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"S6EKTPMBYDXWWC6J","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"S6EKTPMB","created_at":"2026-07-05T11:22:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:S6EKTPMBYDXWWC6JR53EDFFOQK","target":"record","payload":{"canonical_record":{"source":{"id":"2506.12843","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-15T13:30:38Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"12fd3e82a479848bd269f8f3ed9a240838199c70f430dabce97e5c8626d8159b","abstract_canon_sha256":"ffbea91e251e9b8c44bed657c151b50af306d7abf03d658d88a4a38a0d1da3a1"},"schema_version":"1.0"},"canonical_sha256":"9788a9bd81c0ef6b0bc98f764194ae82bae066578a3887345b77e41cba8e78f5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:22:01.202227Z","signature_b64":"QKflkClXxwL9higrBURytzVP4SjXJhtpqYfKomYZzcWPKZ8zqetmAotQ+XIRpd1QOEWHk2NCNuUdjzPn0mOVCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9788a9bd81c0ef6b0bc98f764194ae82bae066578a3887345b77e41cba8e78f5","last_reissued_at":"2026-07-05T11:22:01.201798Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:22:01.201798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.12843","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":"2026-07-05T11:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"I23KPVsX5F2P4CWOZKuKPvt6mpr/wihyJXMxouAbk0liZNmtag6YGKSM4s37RhW01SPWEalX2lb1EvrKIxBSAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:03:57.711369Z"},"content_sha256":"8981752ecd68b016d3779407fdea841ce71b0e68de404d2524ca2e012d14857c","schema_version":"1.0","event_id":"sha256:8981752ecd68b016d3779407fdea841ce71b0e68de404d2524ca2e012d14857c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:S6EKTPMBYDXWWC6JR53EDFFOQK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transforming Chatbot Text: A Sequence-to-Sequence Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Mark Stamp, Natesh Reddy","submitted_at":"2025-06-15T13:30:38Z","abstract_excerpt":"Due to advances in Large Language Models (LLMs) such as ChatGPT, the boundary between human-written text and AI-generated text has become blurred. Nevertheless, recent work has demonstrated that it is possible to reliably detect GPT-generated text. In this paper, we adopt a novel strategy to adversarially transform GPT-generated text using sequence-to-sequence (Seq2Seq) models, with the goal of making the text more human-like. We experiment with the Seq2Seq models T5-small and BART which serve to modify GPT-generated sentences to include linguistic, structural, and semantic components that may"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12843","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/2506.12843/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":"2026-07-05T11:22:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TdM4WP0ZGoWl34KG+kNk14vzie4/NGxxxB/Et1J9OZhd8VQYC8thpjWDAWoaUFXm/rKf7qRACxAUQNd/h93xDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T07:03:57.711935Z"},"content_sha256":"41f3034e54221c5bd335e566d3d46129f6dbe95716e5dd3b6f347868b3a09e3d","schema_version":"1.0","event_id":"sha256:41f3034e54221c5bd335e566d3d46129f6dbe95716e5dd3b6f347868b3a09e3d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S6EKTPMBYDXWWC6JR53EDFFOQK/bundle.json","state_url":"https://pith.science/pith/S6EKTPMBYDXWWC6JR53EDFFOQK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S6EKTPMBYDXWWC6JR53EDFFOQK/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":"2026-08-08T07:03:57Z","links":{"resolver":"https://pith.science/pith/S6EKTPMBYDXWWC6JR53EDFFOQK","bundle":"https://pith.science/pith/S6EKTPMBYDXWWC6JR53EDFFOQK/bundle.json","state":"https://pith.science/pith/S6EKTPMBYDXWWC6JR53EDFFOQK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S6EKTPMBYDXWWC6JR53EDFFOQK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:S6EKTPMBYDXWWC6JR53EDFFOQK","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":"ffbea91e251e9b8c44bed657c151b50af306d7abf03d658d88a4a38a0d1da3a1","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-15T13:30:38Z","title_canon_sha256":"12fd3e82a479848bd269f8f3ed9a240838199c70f430dabce97e5c8626d8159b"},"schema_version":"1.0","source":{"id":"2506.12843","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.12843","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"arxiv_version","alias_value":"2506.12843v1","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.12843","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_12","alias_value":"S6EKTPMBYDXW","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_16","alias_value":"S6EKTPMBYDXWWC6J","created_at":"2026-07-05T11:22:01Z"},{"alias_kind":"pith_short_8","alias_value":"S6EKTPMB","created_at":"2026-07-05T11:22:01Z"}],"graph_snapshots":[{"event_id":"sha256:41f3034e54221c5bd335e566d3d46129f6dbe95716e5dd3b6f347868b3a09e3d","target":"graph","created_at":"2026-07-05T11:22:01Z","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/2506.12843/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Due to advances in Large Language Models (LLMs) such as ChatGPT, the boundary between human-written text and AI-generated text has become blurred. Nevertheless, recent work has demonstrated that it is possible to reliably detect GPT-generated text. In this paper, we adopt a novel strategy to adversarially transform GPT-generated text using sequence-to-sequence (Seq2Seq) models, with the goal of making the text more human-like. We experiment with the Seq2Seq models T5-small and BART which serve to modify GPT-generated sentences to include linguistic, structural, and semantic components that may","authors_text":"Mark Stamp, Natesh Reddy","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-15T13:30:38Z","title":"Transforming Chatbot Text: A Sequence-to-Sequence Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.12843","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":"sha256:8981752ecd68b016d3779407fdea841ce71b0e68de404d2524ca2e012d14857c","target":"record","created_at":"2026-07-05T11:22:01Z","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":"ffbea91e251e9b8c44bed657c151b50af306d7abf03d658d88a4a38a0d1da3a1","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-15T13:30:38Z","title_canon_sha256":"12fd3e82a479848bd269f8f3ed9a240838199c70f430dabce97e5c8626d8159b"},"schema_version":"1.0","source":{"id":"2506.12843","kind":"arxiv","version":1}},"canonical_sha256":"9788a9bd81c0ef6b0bc98f764194ae82bae066578a3887345b77e41cba8e78f5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9788a9bd81c0ef6b0bc98f764194ae82bae066578a3887345b77e41cba8e78f5","first_computed_at":"2026-07-05T11:22:01.201798Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:01.201798Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QKflkClXxwL9higrBURytzVP4SjXJhtpqYfKomYZzcWPKZ8zqetmAotQ+XIRpd1QOEWHk2NCNuUdjzPn0mOVCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:01.202227Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.12843","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8981752ecd68b016d3779407fdea841ce71b0e68de404d2524ca2e012d14857c","sha256:41f3034e54221c5bd335e566d3d46129f6dbe95716e5dd3b6f347868b3a09e3d"],"state_sha256":"17a600ebe9632277db626c151419741b2ed3494fc722ec33ff5fc5746bf49314"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ts8HU8vkXCXFeSXML0Qm+yrDRo1KHa+go6CjFa5o7ebm75Oxk1DxwPdY+mS5M0/TynAti5DZz6A+UvmbULHvDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T07:03:57.717565Z","bundle_sha256":"9d55f573b277aab5aadd3ddc0fdff44a1d93b55b4bd67b1167433d343f020ee0"}}