{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:V6PXJSATJ76DJXSTVII73MBC3G","short_pith_number":"pith:V6PXJSAT","canonical_record":{"source":{"id":"1206.5261","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-06-20T15:00:46Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"939add09691680fb9f6cee2c991eb5da0f8a3b8f4664d5ed37db29209243942e","abstract_canon_sha256":"85fd08f6668f055b9729cd695ccafc0175c4cd5be6a3e6dd3ce4ffcd12484bc8"},"schema_version":"1.0"},"canonical_sha256":"af9f74c8134ffc34de53aa11fdb022d98cad2e1dd51df2815e04d81c34928069","source":{"kind":"arxiv","id":"1206.5261","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.5261","created_at":"2026-05-18T03:52:40Z"},{"alias_kind":"arxiv_version","alias_value":"1206.5261v1","created_at":"2026-05-18T03:52:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.5261","created_at":"2026-05-18T03:52:40Z"},{"alias_kind":"pith_short_12","alias_value":"V6PXJSATJ76D","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_16","alias_value":"V6PXJSATJ76DJXST","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_8","alias_value":"V6PXJSAT","created_at":"2026-05-18T12:27:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:V6PXJSATJ76DJXSTVII73MBC3G","target":"record","payload":{"canonical_record":{"source":{"id":"1206.5261","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-06-20T15:00:46Z","cross_cats_sorted":["cs.AI","stat.ML"],"title_canon_sha256":"939add09691680fb9f6cee2c991eb5da0f8a3b8f4664d5ed37db29209243942e","abstract_canon_sha256":"85fd08f6668f055b9729cd695ccafc0175c4cd5be6a3e6dd3ce4ffcd12484bc8"},"schema_version":"1.0"},"canonical_sha256":"af9f74c8134ffc34de53aa11fdb022d98cad2e1dd51df2815e04d81c34928069","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:52:40.810887Z","signature_b64":"aebR5Sc/cNeOFR3ZdDE0mA9G+GTRK6gF4A3gKF/Im3mpdrjuxVLtDqC1F7p0Qgw4ZsJM3ucYADwFCZgAXUG3Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af9f74c8134ffc34de53aa11fdb022d98cad2e1dd51df2815e04d81c34928069","last_reissued_at":"2026-05-18T03:52:40.810236Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:52:40.810236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1206.5261","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":"2026-05-18T03:52:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"womFlIq4A8faoxAI5LfOMNstxabB2hyYuCboxpiFywUXXLP4QhZ6DdtGmjhUoRah+QJ9vzs0mtC3Eyj+GquKDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T12:59:14.639417Z"},"content_sha256":"ee97120ba7eeb834d651cc5e1a777d08aaf6fb94052a8f42a41a7d54710c5109","schema_version":"1.0","event_id":"sha256:ee97120ba7eeb834d651cc5e1a777d08aaf6fb94052a8f42a41a7d54710c5109"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:V6PXJSATJ76DJXSTVII73MBC3G","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Mixture-of-Parents Maximum Entropy Markov Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","stat.ML"],"primary_cat":"cs.LG","authors_text":"Ben Taskar, Dan Klein, David S. Rosenberg","submitted_at":"2012-06-20T15:00:46Z","abstract_excerpt":"We present the mixture-of-parents maximum entropy Markov model (MoP-MEMM), a class of directed graphical models extending MEMMs. The MoP-MEMM allows tractable incorporation of long-range dependencies between nodes by restricting the conditional distribution of each node to be a mixture of distributions given the parents. We show how to efficiently compute the exact marginal posterior node distributions, regardless of the range of the dependencies. This enables us to model non-sequential correlations present within text documents, as well as between interconnected documents, such as hyperlinked"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.5261","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":""},"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":"2026-05-18T03:52:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YNcYHqUBw19yXGTsjP/LgZ2iwGDqOcrec3dyo9n7jzHm1pa2dKq+MsM/nU2msQCaVdwY/wyUQAxn2n7k5MgWDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T12:59:14.640111Z"},"content_sha256":"e2d6c2800172abebaed44f2840a4f497a2125ea33158b7e71f01e641bd53fc81","schema_version":"1.0","event_id":"sha256:e2d6c2800172abebaed44f2840a4f497a2125ea33158b7e71f01e641bd53fc81"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V6PXJSATJ76DJXSTVII73MBC3G/bundle.json","state_url":"https://pith.science/pith/V6PXJSATJ76DJXSTVII73MBC3G/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V6PXJSATJ76DJXSTVII73MBC3G/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":"2026-05-25T12:59:14Z","links":{"resolver":"https://pith.science/pith/V6PXJSATJ76DJXSTVII73MBC3G","bundle":"https://pith.science/pith/V6PXJSATJ76DJXSTVII73MBC3G/bundle.json","state":"https://pith.science/pith/V6PXJSATJ76DJXSTVII73MBC3G/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V6PXJSATJ76DJXSTVII73MBC3G/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:V6PXJSATJ76DJXSTVII73MBC3G","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":"85fd08f6668f055b9729cd695ccafc0175c4cd5be6a3e6dd3ce4ffcd12484bc8","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-06-20T15:00:46Z","title_canon_sha256":"939add09691680fb9f6cee2c991eb5da0f8a3b8f4664d5ed37db29209243942e"},"schema_version":"1.0","source":{"id":"1206.5261","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.5261","created_at":"2026-05-18T03:52:40Z"},{"alias_kind":"arxiv_version","alias_value":"1206.5261v1","created_at":"2026-05-18T03:52:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.5261","created_at":"2026-05-18T03:52:40Z"},{"alias_kind":"pith_short_12","alias_value":"V6PXJSATJ76D","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_16","alias_value":"V6PXJSATJ76DJXST","created_at":"2026-05-18T12:27:25Z"},{"alias_kind":"pith_short_8","alias_value":"V6PXJSAT","created_at":"2026-05-18T12:27:25Z"}],"graph_snapshots":[{"event_id":"sha256:e2d6c2800172abebaed44f2840a4f497a2125ea33158b7e71f01e641bd53fc81","target":"graph","created_at":"2026-05-18T03:52:40Z","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"},"paper":{"abstract_excerpt":"We present the mixture-of-parents maximum entropy Markov model (MoP-MEMM), a class of directed graphical models extending MEMMs. The MoP-MEMM allows tractable incorporation of long-range dependencies between nodes by restricting the conditional distribution of each node to be a mixture of distributions given the parents. We show how to efficiently compute the exact marginal posterior node distributions, regardless of the range of the dependencies. This enables us to model non-sequential correlations present within text documents, as well as between interconnected documents, such as hyperlinked","authors_text":"Ben Taskar, Dan Klein, David S. Rosenberg","cross_cats":["cs.AI","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-06-20T15:00:46Z","title":"Mixture-of-Parents Maximum Entropy Markov Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.5261","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:ee97120ba7eeb834d651cc5e1a777d08aaf6fb94052a8f42a41a7d54710c5109","target":"record","created_at":"2026-05-18T03:52:40Z","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":"85fd08f6668f055b9729cd695ccafc0175c4cd5be6a3e6dd3ce4ffcd12484bc8","cross_cats_sorted":["cs.AI","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2012-06-20T15:00:46Z","title_canon_sha256":"939add09691680fb9f6cee2c991eb5da0f8a3b8f4664d5ed37db29209243942e"},"schema_version":"1.0","source":{"id":"1206.5261","kind":"arxiv","version":1}},"canonical_sha256":"af9f74c8134ffc34de53aa11fdb022d98cad2e1dd51df2815e04d81c34928069","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af9f74c8134ffc34de53aa11fdb022d98cad2e1dd51df2815e04d81c34928069","first_computed_at":"2026-05-18T03:52:40.810236Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:52:40.810236Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aebR5Sc/cNeOFR3ZdDE0mA9G+GTRK6gF4A3gKF/Im3mpdrjuxVLtDqC1F7p0Qgw4ZsJM3ucYADwFCZgAXUG3Dg==","signature_status":"signed_v1","signed_at":"2026-05-18T03:52:40.810887Z","signed_message":"canonical_sha256_bytes"},"source_id":"1206.5261","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee97120ba7eeb834d651cc5e1a777d08aaf6fb94052a8f42a41a7d54710c5109","sha256:e2d6c2800172abebaed44f2840a4f497a2125ea33158b7e71f01e641bd53fc81"],"state_sha256":"b3c2f5dac540db5ab9037aa726b71ecbfa3aad2ff86ffad940295e6a7d72b7f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7ryAQCKSIY6gwhVqxMiGZ2zBjhcbqNQxRvSRsrLgwI4D5V/AHzQw9th4eUV6EMmh22ajHCtyso5F680p+EjjDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T12:59:14.643569Z","bundle_sha256":"a698421077ba31b1e28625522b7a3787dcd1707f3db6569152cd0ccedf79261d"}}