{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:T37RP6WD6KIP32DYMNMQBTDNON","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":"ffe6b006110bbc8a147e56005b1335d34ec719ba177f662fdc07fd08f2d9385d","cross_cats_sorted":["cs.DS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:52:00Z","title_canon_sha256":"9f8cf4d1ad50c0d7dd1f39dbc346667d6e0bc057d7a918dafa1f082655af4fff"},"schema_version":"1.0","source":{"id":"2502.12465","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.12465","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"arxiv_version","alias_value":"2502.12465v1","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.12465","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"pith_short_12","alias_value":"T37RP6WD6KIP","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"pith_short_16","alias_value":"T37RP6WD6KIP32DY","created_at":"2026-07-05T10:15:56Z"},{"alias_kind":"pith_short_8","alias_value":"T37RP6WD","created_at":"2026-07-05T10:15:56Z"}],"graph_snapshots":[{"event_id":"sha256:c57fc80170fae5ae1f174dea4b386b27cd8009ee1ebd380edf6a367ac6fe2983","target":"graph","created_at":"2026-07-05T10:15:56Z","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/2502.12465/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Next-token prediction with the logarithmic loss is a cornerstone of autoregressive sequence modeling, but, in practice, suffers from error amplification, where errors in the model compound and generation quality degrades as sequence length $H$ increases. From a theoretical perspective, this phenomenon should not appear in well-specified settings, and, indeed, a growing body of empirical work hypothesizes that misspecification, where the learner is not sufficiently expressive to represent the target distribution, may be the root cause. Under misspecification -- where the goal is to learn as wel","authors_text":"Adam Block, Akshay Krishnamurthy, Audrey Huang, Dhruv Rohatgi, Dylan J. Foster","cross_cats":["cs.DS"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:52:00Z","title":"Computational-Statistical Tradeoffs at the Next-Token Prediction Barrier: Autoregressive and Imitation Learning under Misspecification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.12465","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":"sha256:3b2c9d964053f07fc51937a026f3856bac873687df48a381f248583f44296efa","target":"record","created_at":"2026-07-05T10:15:56Z","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":"ffe6b006110bbc8a147e56005b1335d34ec719ba177f662fdc07fd08f2d9385d","cross_cats_sorted":["cs.DS"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-02-18T02:52:00Z","title_canon_sha256":"9f8cf4d1ad50c0d7dd1f39dbc346667d6e0bc057d7a918dafa1f082655af4fff"},"schema_version":"1.0","source":{"id":"2502.12465","kind":"arxiv","version":1}},"canonical_sha256":"9eff17fac3f290fde878635900cc6d735a5dca46109b59dc287c9fa015342911","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9eff17fac3f290fde878635900cc6d735a5dca46109b59dc287c9fa015342911","first_computed_at":"2026-07-05T10:15:56.147861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:56.147861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"AVL6I15myU8zyEOa+gwsNbpe7/DKrH9wRx+kjwSlp6u0QrwuQ2jSIaRNyTUG3WXG9QTn7p3mKlsj+XfXCFyVBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:56.148272Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.12465","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3b2c9d964053f07fc51937a026f3856bac873687df48a381f248583f44296efa","sha256:c57fc80170fae5ae1f174dea4b386b27cd8009ee1ebd380edf6a367ac6fe2983"],"state_sha256":"8981e5bbbfb003b11e4531f1b7eac795c3894a31bb9b50eb2eed2adaf25078b6"}