{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:V2H5PLIK7G6PMEM7PRPPO3KIX5","short_pith_number":"pith:V2H5PLIK","canonical_record":{"source":{"id":"1810.13333","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T15:26:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6d35424acd26b7b2fc3dbe90d3e72ea23e767e553c5649516877743840ea05a0","abstract_canon_sha256":"a4ad7a8f5cf32ab6e8196ca0a4b3c9af5eb596c16faaba0f6b9b25cebc51fe84"},"schema_version":"1.0"},"canonical_sha256":"ae8fd7ad0af9bcf6119f7c5ef76d48bf6b13df5df311c938d0a99507a11e2046","source":{"kind":"arxiv","id":"1810.13333","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.13333","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"arxiv_version","alias_value":"1810.13333v2","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13333","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"pith_short_12","alias_value":"V2H5PLIK7G6P","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"V2H5PLIK7G6PMEM7","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"V2H5PLIK","created_at":"2026-05-18T12:32:56Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:V2H5PLIK7G6PMEM7PRPPO3KIX5","target":"record","payload":{"canonical_record":{"source":{"id":"1810.13333","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T15:26:12Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"6d35424acd26b7b2fc3dbe90d3e72ea23e767e553c5649516877743840ea05a0","abstract_canon_sha256":"a4ad7a8f5cf32ab6e8196ca0a4b3c9af5eb596c16faaba0f6b9b25cebc51fe84"},"schema_version":"1.0"},"canonical_sha256":"ae8fd7ad0af9bcf6119f7c5ef76d48bf6b13df5df311c938d0a99507a11e2046","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:47.947810Z","signature_b64":"w749u73lQz2by3+ldKPIBwxbEN4V9k1wbzC61kPZ9TyVgABVhJGt/O7amTxy61uWn1Lv/sAItcATJFQr5BnYCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae8fd7ad0af9bcf6119f7c5ef76d48bf6b13df5df311c938d0a99507a11e2046","last_reissued_at":"2026-05-17T23:44:47.947217Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:47.947217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.13333","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:44:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yWlq41mn52jnHs/J5DrNyS5bPE1fzBINMROjilq/Nsz/b1QlABOh4UB7P2sGjyCODh32UWlH291XOcsdpqxuAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T13:17:33.349078Z"},"content_sha256":"f93de58a6b187a0ffc54648df7066557c3933a635bd189317eb9623e232fb761","schema_version":"1.0","event_id":"sha256:f93de58a6b187a0ffc54648df7066557c3933a635bd189317eb9623e232fb761"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:V2H5PLIK7G6PMEM7PRPPO3KIX5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Boosting for Comparison-Based Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Micha\\\"el Perrot, Ulrike von Luxburg","submitted_at":"2018-10-31T15:26:12Z","abstract_excerpt":"We consider the problem of classification in a comparison-based setting: given a set of objects, we only have access to triplet comparisons of the form \"object $x_i$ is closer to object $x_j$ than to object $x_k$.\" In this paper we introduce TripletBoost, a new method that can learn a classifier just from such triplet comparisons. The main idea is to aggregate the triplets information into weak classifiers, which can subsequently be boosted to a strong classifier. Our method has two main advantages: (i) it is applicable to data from any metric space, and (ii) it can deal with large scale probl"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13333","kind":"arxiv","version":2},"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":"2026-05-17T23:44:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hp/lb1QbuoT+dwJgaDo/B+Nr0IWfa8zV9QVt9D9iHjNPlFloAvvayQ4yxc7YKBc9U1iJDYLO+uDzCOD73l3hBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-20T13:17:33.349442Z"},"content_sha256":"cb3c7fe265306628dd9384b9a6aa68810a13e6c335e395b8006d20946cab7a56","schema_version":"1.0","event_id":"sha256:cb3c7fe265306628dd9384b9a6aa68810a13e6c335e395b8006d20946cab7a56"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V2H5PLIK7G6PMEM7PRPPO3KIX5/bundle.json","state_url":"https://pith.science/pith/V2H5PLIK7G6PMEM7PRPPO3KIX5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V2H5PLIK7G6PMEM7PRPPO3KIX5/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":"2026-06-20T13:17:33Z","links":{"resolver":"https://pith.science/pith/V2H5PLIK7G6PMEM7PRPPO3KIX5","bundle":"https://pith.science/pith/V2H5PLIK7G6PMEM7PRPPO3KIX5/bundle.json","state":"https://pith.science/pith/V2H5PLIK7G6PMEM7PRPPO3KIX5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V2H5PLIK7G6PMEM7PRPPO3KIX5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:V2H5PLIK7G6PMEM7PRPPO3KIX5","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":"a4ad7a8f5cf32ab6e8196ca0a4b3c9af5eb596c16faaba0f6b9b25cebc51fe84","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T15:26:12Z","title_canon_sha256":"6d35424acd26b7b2fc3dbe90d3e72ea23e767e553c5649516877743840ea05a0"},"schema_version":"1.0","source":{"id":"1810.13333","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.13333","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"arxiv_version","alias_value":"1810.13333v2","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.13333","created_at":"2026-05-17T23:44:47Z"},{"alias_kind":"pith_short_12","alias_value":"V2H5PLIK7G6P","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_16","alias_value":"V2H5PLIK7G6PMEM7","created_at":"2026-05-18T12:32:56Z"},{"alias_kind":"pith_short_8","alias_value":"V2H5PLIK","created_at":"2026-05-18T12:32:56Z"}],"graph_snapshots":[{"event_id":"sha256:cb3c7fe265306628dd9384b9a6aa68810a13e6c335e395b8006d20946cab7a56","target":"graph","created_at":"2026-05-17T23:44:47Z","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 classification in a comparison-based setting: given a set of objects, we only have access to triplet comparisons of the form \"object $x_i$ is closer to object $x_j$ than to object $x_k$.\" In this paper we introduce TripletBoost, a new method that can learn a classifier just from such triplet comparisons. The main idea is to aggregate the triplets information into weak classifiers, which can subsequently be boosted to a strong classifier. Our method has two main advantages: (i) it is applicable to data from any metric space, and (ii) it can deal with large scale probl","authors_text":"Micha\\\"el Perrot, Ulrike von Luxburg","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T15:26:12Z","title":"Boosting for Comparison-Based Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.13333","kind":"arxiv","version":2},"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:f93de58a6b187a0ffc54648df7066557c3933a635bd189317eb9623e232fb761","target":"record","created_at":"2026-05-17T23:44:47Z","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":"a4ad7a8f5cf32ab6e8196ca0a4b3c9af5eb596c16faaba0f6b9b25cebc51fe84","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2018-10-31T15:26:12Z","title_canon_sha256":"6d35424acd26b7b2fc3dbe90d3e72ea23e767e553c5649516877743840ea05a0"},"schema_version":"1.0","source":{"id":"1810.13333","kind":"arxiv","version":2}},"canonical_sha256":"ae8fd7ad0af9bcf6119f7c5ef76d48bf6b13df5df311c938d0a99507a11e2046","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae8fd7ad0af9bcf6119f7c5ef76d48bf6b13df5df311c938d0a99507a11e2046","first_computed_at":"2026-05-17T23:44:47.947217Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:47.947217Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w749u73lQz2by3+ldKPIBwxbEN4V9k1wbzC61kPZ9TyVgABVhJGt/O7amTxy61uWn1Lv/sAItcATJFQr5BnYCg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:47.947810Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.13333","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f93de58a6b187a0ffc54648df7066557c3933a635bd189317eb9623e232fb761","sha256:cb3c7fe265306628dd9384b9a6aa68810a13e6c335e395b8006d20946cab7a56"],"state_sha256":"a4d23a3e19fc2d8998f7abf4849a2a33d5f516ad772e2c50d52a7cc7e640f659"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Opq+PmzzxCq+50bZLngu0BqDoYDpu9xcfwkqxSpKjAUxv0CE3UktRF+iK6fvAIxuDKAhZb6Yqd9J8vBy2Ho7Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-20T13:17:33.351358Z","bundle_sha256":"2eb725a5493fbf42a783d775b5910aced7cf107407e9495b2d0e3459edd0bd9a"}}