{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:FMT7QQ7BUAFNMRGVQGDQOYDKR6","short_pith_number":"pith:FMT7QQ7B","canonical_record":{"source":{"id":"1206.3318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.AI","submitted_at":"2012-06-14T20:07:30Z","cross_cats_sorted":[],"title_canon_sha256":"0f0324c209990216a01b26ea2ba5da3618e1c0f373be54a23dabfa1d9de3f137","abstract_canon_sha256":"5dd70f7fc689d951c76b38ea4c4e18ad1158d8788bb9ccceadff90eed2a014e2"},"schema_version":"1.0"},"canonical_sha256":"2b27f843e1a00ad644d5818707606a8f92edd2871798f97292e3d8770e090be5","source":{"kind":"arxiv","id":"1206.3318","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.3318","created_at":"2026-05-18T03:53:30Z"},{"alias_kind":"arxiv_version","alias_value":"1206.3318v1","created_at":"2026-05-18T03:53:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.3318","created_at":"2026-05-18T03:53:30Z"},{"alias_kind":"pith_short_12","alias_value":"FMT7QQ7BUAFN","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"FMT7QQ7BUAFNMRGV","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"FMT7QQ7B","created_at":"2026-05-18T12:27:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:FMT7QQ7BUAFNMRGVQGDQOYDKR6","target":"record","payload":{"canonical_record":{"source":{"id":"1206.3318","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.AI","submitted_at":"2012-06-14T20:07:30Z","cross_cats_sorted":[],"title_canon_sha256":"0f0324c209990216a01b26ea2ba5da3618e1c0f373be54a23dabfa1d9de3f137","abstract_canon_sha256":"5dd70f7fc689d951c76b38ea4c4e18ad1158d8788bb9ccceadff90eed2a014e2"},"schema_version":"1.0"},"canonical_sha256":"2b27f843e1a00ad644d5818707606a8f92edd2871798f97292e3d8770e090be5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:53:30.630095Z","signature_b64":"+6jCgUGMyNkarVyX+5yHUP+nquFsVr3yk+P+6o4RvwJkWEcZ6nCU1b0d5Ssp95k+wGubWEk3sTVV7JfgvTjBCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2b27f843e1a00ad644d5818707606a8f92edd2871798f97292e3d8770e090be5","last_reissued_at":"2026-05-18T03:53:30.629424Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:53:30.629424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1206.3318","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":"2026-05-18T03:53:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"uz8zRyOD/ZIbGdzvVr8BqphESEnpCGlRCBnvUvedsqaoNUZXtjM+ezpE1U6wKdvj8fj0Iw8SCW22BRWQIF/+Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T17:46:10.440292Z"},"content_sha256":"566cc84d175f53c001f6ed6bd09d5e68acf29b06f915ff8f975c141778ba1d0b","schema_version":"1.0","event_id":"sha256:566cc84d175f53c001f6ed6bd09d5e68acf29b06f915ff8f975c141778ba1d0b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:FMT7QQ7BUAFNMRGVQGDQOYDKR6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On Local Regret","license":"http://creativecommons.org/licenses/by/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Martin Zinkevich, Michael Bowling","submitted_at":"2012-06-14T20:07:30Z","abstract_excerpt":"Online learning aims to perform nearly as well as the best hypothesis in hindsight. For some hypothesis classes, though, even finding the best hypothesis offline is challenging. In such offline cases, local search techniques are often employed and only local optimality guaranteed. For online decision-making with such hypothesis classes, we introduce local regret, a generalization of regret that aims to perform nearly as well as only nearby hypotheses. We then present a general algorithm to minimize local regret with arbitrary locality graphs. We also show how the graph structure can be exploit"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.3318","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":"2026-05-18T03:53:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qt8CFj/fXUqSLoyyfpSg7S1BXwW6S37D56n8+6bO6DSNwJpNredxiaHhjW51kg7fkgY6qpP9Dha9ZZWKG1KBAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-03T17:46:10.440664Z"},"content_sha256":"61a612bc9a043d7a711a373f5c492e82e616e902a16b96ef4efc9b295cceff8e","schema_version":"1.0","event_id":"sha256:61a612bc9a043d7a711a373f5c492e82e616e902a16b96ef4efc9b295cceff8e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FMT7QQ7BUAFNMRGVQGDQOYDKR6/bundle.json","state_url":"https://pith.science/pith/FMT7QQ7BUAFNMRGVQGDQOYDKR6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FMT7QQ7BUAFNMRGVQGDQOYDKR6/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":"2026-06-03T17:46:10Z","links":{"resolver":"https://pith.science/pith/FMT7QQ7BUAFNMRGVQGDQOYDKR6","bundle":"https://pith.science/pith/FMT7QQ7BUAFNMRGVQGDQOYDKR6/bundle.json","state":"https://pith.science/pith/FMT7QQ7BUAFNMRGVQGDQOYDKR6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FMT7QQ7BUAFNMRGVQGDQOYDKR6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:FMT7QQ7BUAFNMRGVQGDQOYDKR6","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":"5dd70f7fc689d951c76b38ea4c4e18ad1158d8788bb9ccceadff90eed2a014e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.AI","submitted_at":"2012-06-14T20:07:30Z","title_canon_sha256":"0f0324c209990216a01b26ea2ba5da3618e1c0f373be54a23dabfa1d9de3f137"},"schema_version":"1.0","source":{"id":"1206.3318","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.3318","created_at":"2026-05-18T03:53:30Z"},{"alias_kind":"arxiv_version","alias_value":"1206.3318v1","created_at":"2026-05-18T03:53:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.3318","created_at":"2026-05-18T03:53:30Z"},{"alias_kind":"pith_short_12","alias_value":"FMT7QQ7BUAFN","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_16","alias_value":"FMT7QQ7BUAFNMRGV","created_at":"2026-05-18T12:27:06Z"},{"alias_kind":"pith_short_8","alias_value":"FMT7QQ7B","created_at":"2026-05-18T12:27:06Z"}],"graph_snapshots":[{"event_id":"sha256:61a612bc9a043d7a711a373f5c492e82e616e902a16b96ef4efc9b295cceff8e","target":"graph","created_at":"2026-05-18T03:53:30Z","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":"Online learning aims to perform nearly as well as the best hypothesis in hindsight. For some hypothesis classes, though, even finding the best hypothesis offline is challenging. In such offline cases, local search techniques are often employed and only local optimality guaranteed. For online decision-making with such hypothesis classes, we introduce local regret, a generalization of regret that aims to perform nearly as well as only nearby hypotheses. We then present a general algorithm to minimize local regret with arbitrary locality graphs. We also show how the graph structure can be exploit","authors_text":"Martin Zinkevich, Michael Bowling","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.AI","submitted_at":"2012-06-14T20:07:30Z","title":"On Local Regret"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.3318","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":"sha256:566cc84d175f53c001f6ed6bd09d5e68acf29b06f915ff8f975c141778ba1d0b","target":"record","created_at":"2026-05-18T03:53:30Z","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":"5dd70f7fc689d951c76b38ea4c4e18ad1158d8788bb9ccceadff90eed2a014e2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/3.0/","primary_cat":"cs.AI","submitted_at":"2012-06-14T20:07:30Z","title_canon_sha256":"0f0324c209990216a01b26ea2ba5da3618e1c0f373be54a23dabfa1d9de3f137"},"schema_version":"1.0","source":{"id":"1206.3318","kind":"arxiv","version":1}},"canonical_sha256":"2b27f843e1a00ad644d5818707606a8f92edd2871798f97292e3d8770e090be5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2b27f843e1a00ad644d5818707606a8f92edd2871798f97292e3d8770e090be5","first_computed_at":"2026-05-18T03:53:30.629424Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:53:30.629424Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"+6jCgUGMyNkarVyX+5yHUP+nquFsVr3yk+P+6o4RvwJkWEcZ6nCU1b0d5Ssp95k+wGubWEk3sTVV7JfgvTjBCw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:53:30.630095Z","signed_message":"canonical_sha256_bytes"},"source_id":"1206.3318","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:566cc84d175f53c001f6ed6bd09d5e68acf29b06f915ff8f975c141778ba1d0b","sha256:61a612bc9a043d7a711a373f5c492e82e616e902a16b96ef4efc9b295cceff8e"],"state_sha256":"8f8bc50cd08500ab9b4ac2da109d7f61bd5c1fcd27d428123a9a298d0f37c842"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HC/Hszd/O5hfhdgrxQpwRC7OjSqrgzRXqUdsddv7XTVYeqXdzVFAr0terGRutJHuX7/ZU5F1nQzKUj9dqLCqAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-03T17:46:10.442612Z","bundle_sha256":"687adc152edefda5a73697f0990f6af0ed10fb9a930d6dcaff6a6f565d998365"}}