{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:4CE3GHVXJILSZUHPD3375WCEQV","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":"9183aaf45efafb1396e466739d5a228927cb9dd0c06482934dc58cbb361b4147","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-07-09T17:58:46Z","title_canon_sha256":"b4e75311b0bbe4b4717bca2d769b11505281fdd0efc877ba56abfcb1bdddbe29"},"schema_version":"1.0","source":{"id":"1107.1805","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1107.1805","created_at":"2026-05-18T02:21:43Z"},{"alias_kind":"arxiv_version","alias_value":"1107.1805v1","created_at":"2026-05-18T02:21:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1107.1805","created_at":"2026-05-18T02:21:43Z"},{"alias_kind":"pith_short_12","alias_value":"4CE3GHVXJILS","created_at":"2026-05-18T12:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"4CE3GHVXJILSZUHP","created_at":"2026-05-18T12:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"4CE3GHVX","created_at":"2026-05-18T12:26:20Z"}],"graph_snapshots":[{"event_id":"sha256:c3c78be5fc055c02b180c3677e07f1736c2003d233a14b38f202ad6363864b8e","target":"graph","created_at":"2026-05-18T02:21:43Z","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 consider the problem of training probabilistic conditional random fields (CRFs) in the context of a task where performance is measured using a specific loss function. While maximum likelihood is the most common approach to training CRFs, it ignores the inherent structure of the task's loss function. We describe alternatives to maximum likelihood which take that loss into account. These include a novel adaptation of a loss upper bound from the structured SVMs literature to the CRF context, as well as a new loss-inspired KL divergence objective which relies on the probabilistic nature of CRFs","authors_text":"Hugo Larochelle, Maksims N. Volkovs, Richard S. Zemel","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-07-09T17:58:46Z","title":"Loss-sensitive Training of Probabilistic Conditional Random Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1107.1805","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":"sha256:792604be87eb77c601f36c68f0a3ae11a081d949d8322429a06893bf812fad0f","target":"record","created_at":"2026-05-18T02:21:43Z","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":"9183aaf45efafb1396e466739d5a228927cb9dd0c06482934dc58cbb361b4147","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2011-07-09T17:58:46Z","title_canon_sha256":"b4e75311b0bbe4b4717bca2d769b11505281fdd0efc877ba56abfcb1bdddbe29"},"schema_version":"1.0","source":{"id":"1107.1805","kind":"arxiv","version":1}},"canonical_sha256":"e089b31eb74a172cd0ef1ef7fed84485495a9d2d70d1b76fa59996e0d52ee31c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e089b31eb74a172cd0ef1ef7fed84485495a9d2d70d1b76fa59996e0d52ee31c","first_computed_at":"2026-05-18T02:21:43.106334Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:21:43.106334Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"h3sjQxRS8qsHNnKkYx4Yqm/OMw3nhEXSLkAp+yvZjJgrqDcLEQ2o5n7p1WqUYSSxQtWnWgR86Vrr0bmOUoVyAw==","signature_status":"signed_v1","signed_at":"2026-05-18T02:21:43.106751Z","signed_message":"canonical_sha256_bytes"},"source_id":"1107.1805","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:792604be87eb77c601f36c68f0a3ae11a081d949d8322429a06893bf812fad0f","sha256:c3c78be5fc055c02b180c3677e07f1736c2003d233a14b38f202ad6363864b8e"],"state_sha256":"a13f1ea82cd301b3107d0b48d0f92f04f5639dbabd2fa92313cb378b83f9c044"}