{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:7GFG3XHWJQKYXJWWOLAMSY35SU","short_pith_number":"pith:7GFG3XHW","canonical_record":{"source":{"id":"2508.11767","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-15T18:36:52Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e9bc0d46779ade15576bd008e3da70efb63f6b1dc346e34722f218ae033674de","abstract_canon_sha256":"acdf7f9a5c3ecf5cb604592ea883f8d145e004ff9e1a29ec4ba93a2eb2ee694c"},"schema_version":"1.0"},"canonical_sha256":"f98a6ddcf64c158ba6d672c0c9637d952c3053fc997efa3a2a40640ca2dbf2ff","source":{"kind":"arxiv","id":"2508.11767","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11767","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11767v1","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11767","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"pith_short_12","alias_value":"7GFG3XHWJQKY","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"pith_short_16","alias_value":"7GFG3XHWJQKYXJWW","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"pith_short_8","alias_value":"7GFG3XHW","created_at":"2026-07-05T11:54:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:7GFG3XHWJQKYXJWWOLAMSY35SU","target":"record","payload":{"canonical_record":{"source":{"id":"2508.11767","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-15T18:36:52Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"e9bc0d46779ade15576bd008e3da70efb63f6b1dc346e34722f218ae033674de","abstract_canon_sha256":"acdf7f9a5c3ecf5cb604592ea883f8d145e004ff9e1a29ec4ba93a2eb2ee694c"},"schema_version":"1.0"},"canonical_sha256":"f98a6ddcf64c158ba6d672c0c9637d952c3053fc997efa3a2a40640ca2dbf2ff","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:54:54.058622Z","signature_b64":"dxBzPw+BzBw9dg9HWe+4+oniSiKyx8othuzBIGSsHU3zxU21X+t4pNOw+xFtiKwrEJkfJ7a4A3XRjf3/x4QrBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f98a6ddcf64c158ba6d672c0c9637d952c3053fc997efa3a2a40640ca2dbf2ff","last_reissued_at":"2026-07-05T11:54:54.058170Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:54:54.058170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.11767","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":"2026-07-05T11:54:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"D/lI+8lqBryEo0GwNmWw0A7bTQ7idggT0HBOpgafKnGXw+mEQ0UgKdVhxtzZoxB0ibrSBdLilwzAvD/0WPFuBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T06:13:59.761397Z"},"content_sha256":"a995d1b28a4b9d74f274f476fd06a48b01872837aa14ce0ec225dcbe4ce971ca","schema_version":"1.0","event_id":"sha256:a995d1b28a4b9d74f274f476fd06a48b01872837aa14ce0ec225dcbe4ce971ca"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:7GFG3XHWJQKYXJWWOLAMSY35SU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Limitation Learning: Catching Adverse Dialog with GAIL","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CL","authors_text":"Noah Kasmanoff, Rahul Zalkikar","submitted_at":"2025-08-15T18:36:52Z","abstract_excerpt":"Imitation learning is a proven method for creating a policy in the absence of rewards, by leveraging expert demonstrations. In this work, we apply imitation learning to conversation. In doing so, we recover a policy capable of talking to a user given a prompt (input state), and a discriminator capable of classifying between expert and synthetic conversation. While our policy is effective, we recover results from our discriminator that indicate the limitations of dialog models. We argue that this technique can be used to identify adverse behavior of arbitrary data models common for dialog orien"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11767","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/2508.11767/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":"2026-07-05T11:54:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gJuLboPfczQPRNlY9PSW99e/sP2sTUMn2Ra6xoFujiJ7lX4oevefre+GV7JFH58CTZkH8YL80Cpih8QQ4zTtBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T06:13:59.761760Z"},"content_sha256":"3e9783f6aa6d3d23b6c5ad328a270f974bee7b96b2b954502de7af6ffc24a210","schema_version":"1.0","event_id":"sha256:3e9783f6aa6d3d23b6c5ad328a270f974bee7b96b2b954502de7af6ffc24a210"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7GFG3XHWJQKYXJWWOLAMSY35SU/bundle.json","state_url":"https://pith.science/pith/7GFG3XHWJQKYXJWWOLAMSY35SU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7GFG3XHWJQKYXJWWOLAMSY35SU/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":"2026-08-21T06:13:59Z","links":{"resolver":"https://pith.science/pith/7GFG3XHWJQKYXJWWOLAMSY35SU","bundle":"https://pith.science/pith/7GFG3XHWJQKYXJWWOLAMSY35SU/bundle.json","state":"https://pith.science/pith/7GFG3XHWJQKYXJWWOLAMSY35SU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7GFG3XHWJQKYXJWWOLAMSY35SU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7GFG3XHWJQKYXJWWOLAMSY35SU","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":"acdf7f9a5c3ecf5cb604592ea883f8d145e004ff9e1a29ec4ba93a2eb2ee694c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-15T18:36:52Z","title_canon_sha256":"e9bc0d46779ade15576bd008e3da70efb63f6b1dc346e34722f218ae033674de"},"schema_version":"1.0","source":{"id":"2508.11767","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.11767","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"arxiv_version","alias_value":"2508.11767v1","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.11767","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"pith_short_12","alias_value":"7GFG3XHWJQKY","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"pith_short_16","alias_value":"7GFG3XHWJQKYXJWW","created_at":"2026-07-05T11:54:54Z"},{"alias_kind":"pith_short_8","alias_value":"7GFG3XHW","created_at":"2026-07-05T11:54:54Z"}],"graph_snapshots":[{"event_id":"sha256:3e9783f6aa6d3d23b6c5ad328a270f974bee7b96b2b954502de7af6ffc24a210","target":"graph","created_at":"2026-07-05T11:54:54Z","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/2508.11767/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Imitation learning is a proven method for creating a policy in the absence of rewards, by leveraging expert demonstrations. In this work, we apply imitation learning to conversation. In doing so, we recover a policy capable of talking to a user given a prompt (input state), and a discriminator capable of classifying between expert and synthetic conversation. While our policy is effective, we recover results from our discriminator that indicate the limitations of dialog models. We argue that this technique can be used to identify adverse behavior of arbitrary data models common for dialog orien","authors_text":"Noah Kasmanoff, Rahul Zalkikar","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-15T18:36:52Z","title":"Limitation Learning: Catching Adverse Dialog with GAIL"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.11767","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:a995d1b28a4b9d74f274f476fd06a48b01872837aa14ce0ec225dcbe4ce971ca","target":"record","created_at":"2026-07-05T11:54:54Z","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":"acdf7f9a5c3ecf5cb604592ea883f8d145e004ff9e1a29ec4ba93a2eb2ee694c","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-08-15T18:36:52Z","title_canon_sha256":"e9bc0d46779ade15576bd008e3da70efb63f6b1dc346e34722f218ae033674de"},"schema_version":"1.0","source":{"id":"2508.11767","kind":"arxiv","version":1}},"canonical_sha256":"f98a6ddcf64c158ba6d672c0c9637d952c3053fc997efa3a2a40640ca2dbf2ff","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f98a6ddcf64c158ba6d672c0c9637d952c3053fc997efa3a2a40640ca2dbf2ff","first_computed_at":"2026-07-05T11:54:54.058170Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:54.058170Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"dxBzPw+BzBw9dg9HWe+4+oniSiKyx8othuzBIGSsHU3zxU21X+t4pNOw+xFtiKwrEJkfJ7a4A3XRjf3/x4QrBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:54.058622Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.11767","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a995d1b28a4b9d74f274f476fd06a48b01872837aa14ce0ec225dcbe4ce971ca","sha256:3e9783f6aa6d3d23b6c5ad328a270f974bee7b96b2b954502de7af6ffc24a210"],"state_sha256":"d9086d5702d011745080a434df2ff3ec3009d2b49b2ebac4646318777da34cdc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xs5Dh5RvXjdbem0CSWGHsgs5/ZT+FN1T7AQhG6NXOjwKYKMBCZFZQZIyBVJSMWLLKnje6anrXtMfGT3/5j8PBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T06:13:59.765167Z","bundle_sha256":"2caf7f6ef365b3271d30a0139155be9fb53047b5db7d23cc4be33de14b7faa18"}}