{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:BHSGPVCXDBWPBEYX77LBZJETKN","short_pith_number":"pith:BHSGPVCX","canonical_record":{"source":{"id":"1908.11658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-30T11:31:07Z","cross_cats_sorted":["cs.CL","stat.ML"],"title_canon_sha256":"f8fe2c7af46db29403359f60c69c451dbe6daba9e3153b26ae8daf0d35c44780","abstract_canon_sha256":"00e3869102b46391e3fae8b1d96dc77beb94ad4a52b574939d6ceb6049ae7cc3"},"schema_version":"1.0"},"canonical_sha256":"09e467d457186cf09317ffd61ca4935367ab83a0b9571ff2b75241897449489b","source":{"kind":"arxiv","id":"1908.11658","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.11658","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"arxiv_version","alias_value":"1908.11658v1","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.11658","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"pith_short_12","alias_value":"BHSGPVCXDBWP","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"pith_short_16","alias_value":"BHSGPVCXDBWPBEYX","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"pith_short_8","alias_value":"BHSGPVCX","created_at":"2026-07-05T00:00:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:BHSGPVCXDBWPBEYX77LBZJETKN","target":"record","payload":{"canonical_record":{"source":{"id":"1908.11658","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-30T11:31:07Z","cross_cats_sorted":["cs.CL","stat.ML"],"title_canon_sha256":"f8fe2c7af46db29403359f60c69c451dbe6daba9e3153b26ae8daf0d35c44780","abstract_canon_sha256":"00e3869102b46391e3fae8b1d96dc77beb94ad4a52b574939d6ceb6049ae7cc3"},"schema_version":"1.0"},"canonical_sha256":"09e467d457186cf09317ffd61ca4935367ab83a0b9571ff2b75241897449489b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:00:38.542556Z","signature_b64":"WuzcbhEB7QqBYjhepdN/R4G83IGme7Fzf200K5/6D0XNpM7NmM706F7h+epKIwXkzwnA+bQiXwnvyESVswZ0DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"09e467d457186cf09317ffd61ca4935367ab83a0b9571ff2b75241897449489b","last_reissued_at":"2026-07-05T00:00:38.542109Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:00:38.542109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1908.11658","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":"2026-07-05T00:00:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NWH91Lqn0du0fD0Q1nKG/7MulxjdVstR9N6ejd44NfSUT410p+r2lTeSQ8ELocs8LGrcRc9ZHSA2NUz/xYQ+BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T15:33:17.514703Z"},"content_sha256":"516d906542de22effa770be0c9f2c82d70598be1c17daac604f052cbbb35b19a","schema_version":"1.0","event_id":"sha256:516d906542de22effa770be0c9f2c82d70598be1c17daac604f052cbbb35b19a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:BHSGPVCXDBWPBEYX77LBZJETKN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Autoregressive Text Generation Beyond Feedback Loops","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","stat.ML"],"primary_cat":"cs.LG","authors_text":"Florian Schmidt, Stephan Mandt, Thomas Hofmann","submitted_at":"2019-08-30T11:31:07Z","abstract_excerpt":"Autoregressive state transitions, where predictions are conditioned on past predictions, are the predominant choice for both deterministic and stochastic sequential models. However, autoregressive feedback exposes the evolution of the hidden state trajectory to potential biases from well-known train-test discrepancies. In this paper, we combine a latent state space model with a CRF observation model. We argue that such autoregressive observation models form an interesting middle ground that expresses local correlations on the word level but keeps the state evolution non-autoregressive. On unco"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.11658","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/1908.11658/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":"2026-07-05T00:00:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4EiQpJX3ODh1aPBpWCNSKRL2xxs6tNIrJUcITLJxwtazrz2+BYSVnFPw1BQy+4jjy4s4R1CQMA9UXut/GsheBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T15:33:17.516661Z"},"content_sha256":"322127d9c3c6a12747eb3503bc4ad20684e843c6731f14310c4e934660f7bed5","schema_version":"1.0","event_id":"sha256:322127d9c3c6a12747eb3503bc4ad20684e843c6731f14310c4e934660f7bed5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BHSGPVCXDBWPBEYX77LBZJETKN/bundle.json","state_url":"https://pith.science/pith/BHSGPVCXDBWPBEYX77LBZJETKN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BHSGPVCXDBWPBEYX77LBZJETKN/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":"2026-08-16T15:33:17Z","links":{"resolver":"https://pith.science/pith/BHSGPVCXDBWPBEYX77LBZJETKN","bundle":"https://pith.science/pith/BHSGPVCXDBWPBEYX77LBZJETKN/bundle.json","state":"https://pith.science/pith/BHSGPVCXDBWPBEYX77LBZJETKN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BHSGPVCXDBWPBEYX77LBZJETKN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:BHSGPVCXDBWPBEYX77LBZJETKN","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":"00e3869102b46391e3fae8b1d96dc77beb94ad4a52b574939d6ceb6049ae7cc3","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-30T11:31:07Z","title_canon_sha256":"f8fe2c7af46db29403359f60c69c451dbe6daba9e3153b26ae8daf0d35c44780"},"schema_version":"1.0","source":{"id":"1908.11658","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1908.11658","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"arxiv_version","alias_value":"1908.11658v1","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1908.11658","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"pith_short_12","alias_value":"BHSGPVCXDBWP","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"pith_short_16","alias_value":"BHSGPVCXDBWPBEYX","created_at":"2026-07-05T00:00:38Z"},{"alias_kind":"pith_short_8","alias_value":"BHSGPVCX","created_at":"2026-07-05T00:00:38Z"}],"graph_snapshots":[{"event_id":"sha256:322127d9c3c6a12747eb3503bc4ad20684e843c6731f14310c4e934660f7bed5","target":"graph","created_at":"2026-07-05T00:00:38Z","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/1908.11658/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Autoregressive state transitions, where predictions are conditioned on past predictions, are the predominant choice for both deterministic and stochastic sequential models. However, autoregressive feedback exposes the evolution of the hidden state trajectory to potential biases from well-known train-test discrepancies. In this paper, we combine a latent state space model with a CRF observation model. We argue that such autoregressive observation models form an interesting middle ground that expresses local correlations on the word level but keeps the state evolution non-autoregressive. On unco","authors_text":"Florian Schmidt, Stephan Mandt, Thomas Hofmann","cross_cats":["cs.CL","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-30T11:31:07Z","title":"Autoregressive Text Generation Beyond Feedback Loops"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1908.11658","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":"sha256:516d906542de22effa770be0c9f2c82d70598be1c17daac604f052cbbb35b19a","target":"record","created_at":"2026-07-05T00:00:38Z","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":"00e3869102b46391e3fae8b1d96dc77beb94ad4a52b574939d6ceb6049ae7cc3","cross_cats_sorted":["cs.CL","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2019-08-30T11:31:07Z","title_canon_sha256":"f8fe2c7af46db29403359f60c69c451dbe6daba9e3153b26ae8daf0d35c44780"},"schema_version":"1.0","source":{"id":"1908.11658","kind":"arxiv","version":1}},"canonical_sha256":"09e467d457186cf09317ffd61ca4935367ab83a0b9571ff2b75241897449489b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"09e467d457186cf09317ffd61ca4935367ab83a0b9571ff2b75241897449489b","first_computed_at":"2026-07-05T00:00:38.542109Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:00:38.542109Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WuzcbhEB7QqBYjhepdN/R4G83IGme7Fzf200K5/6D0XNpM7NmM706F7h+epKIwXkzwnA+bQiXwnvyESVswZ0DA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:00:38.542556Z","signed_message":"canonical_sha256_bytes"},"source_id":"1908.11658","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:516d906542de22effa770be0c9f2c82d70598be1c17daac604f052cbbb35b19a","sha256:322127d9c3c6a12747eb3503bc4ad20684e843c6731f14310c4e934660f7bed5"],"state_sha256":"b19593a60297673aac433f4d26a05c1732c0c58b63b6e4129a804d9a9d10dd6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q/sb1V8h++QzCRjEKNdgiJaCVorbkXG5gMYfG1IY6WulqnhuDTj2Ehnn6hRvS3s9ADDrmGjO0xYJtjkv1yXiBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T15:33:17.532087Z","bundle_sha256":"9a9bc925e751d32219d88358f065982f600a8627aea38733efbef5908cee8ad4"}}