{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3VGCV2Q7X5LRWFUT7DPWL2GKR5","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":"cc4331573cc47f2b0bb6f37c420276115f87488cf62acedcd3e1eb283d83e5b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-04T22:31:58Z","title_canon_sha256":"dcd3768cfe1a925eddbb8d1c55245ab9d36baf66ce457d62170f2e172f1e4f25"},"schema_version":"1.0","source":{"id":"2404.03820","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.03820","created_at":"2026-07-05T08:35:01Z"},{"alias_kind":"arxiv_version","alias_value":"2404.03820v2","created_at":"2026-07-05T08:35:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.03820","created_at":"2026-07-05T08:35:01Z"},{"alias_kind":"pith_short_12","alias_value":"3VGCV2Q7X5LR","created_at":"2026-07-05T08:35:01Z"},{"alias_kind":"pith_short_16","alias_value":"3VGCV2Q7X5LRWFUT","created_at":"2026-07-05T08:35:01Z"},{"alias_kind":"pith_short_8","alias_value":"3VGCV2Q7","created_at":"2026-07-05T08:35:01Z"}],"graph_snapshots":[{"event_id":"sha256:24eed1a737bd363931f8719486e4c3eda8642ae7bbc6f256a75d1e012cc36909","target":"graph","created_at":"2026-07-05T08:35:01Z","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/2404.03820/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in instruction-tuning datasets have predominantly focused on specific tasks like mathematical or logical reasoning. There has been a notable gap in data designed for aligning language models to maintain topic relevance in conversations - a critical aspect for deploying chatbots to production. We introduce the CantTalkAboutThis dataset to help language models remain focused on the subject at hand during task-oriented interactions. It consists of synthetic dialogues on a wide range of conversation topics from different domains. These dialogues are interspersed with distractor","authors_text":"Christopher Parisien, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Shaona Ghosh, Traian Rebedea","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-04T22:31:58Z","title":"CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.03820","kind":"arxiv","version":2},"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:d852fcb57d3d6a97eed42f82b76695925e29e016d05fb5981553dac16c2daa33","target":"record","created_at":"2026-07-05T08:35:01Z","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":"cc4331573cc47f2b0bb6f37c420276115f87488cf62acedcd3e1eb283d83e5b9","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-04-04T22:31:58Z","title_canon_sha256":"dcd3768cfe1a925eddbb8d1c55245ab9d36baf66ce457d62170f2e172f1e4f25"},"schema_version":"1.0","source":{"id":"2404.03820","kind":"arxiv","version":2}},"canonical_sha256":"dd4c2aea1fbf571b1693f8df65e8ca8f59036fee470f91eca2f4eec1ed28a079","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd4c2aea1fbf571b1693f8df65e8ca8f59036fee470f91eca2f4eec1ed28a079","first_computed_at":"2026-07-05T08:35:01.984543Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:35:01.984543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lJeO2uyzCW0939ILGNGf8bf40rmEFKiXNBmDorNA30LdPlhMqgZ/wI0FdrpANKR9Ro/Q3yg9sgBgsqTgqnzvAw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:35:01.984967Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.03820","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d852fcb57d3d6a97eed42f82b76695925e29e016d05fb5981553dac16c2daa33","sha256:24eed1a737bd363931f8719486e4c3eda8642ae7bbc6f256a75d1e012cc36909"],"state_sha256":"8d84b8d8b43ce12a5fac19a33048875d423391092f632c15eac9ab9dddf8186b"}