{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:DZFHMMWCKNX6YXKD4CQFCMWNA7","short_pith_number":"pith:DZFHMMWC","canonical_record":{"source":{"id":"1711.09708","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-27T14:37:59Z","cross_cats_sorted":[],"title_canon_sha256":"a15588ec3b7741d9d0aaa6558d1abe86022d0ae1fda184a02ff6d46466d1ee19","abstract_canon_sha256":"293e056fce41af5e2b9472b8aae631688beba2b4119116b2c0b33683e0b21a7f"},"schema_version":"1.0"},"canonical_sha256":"1e4a7632c2536fec5d43e0a05132cd07e762d4a567abb6efe14029e46a5c455d","source":{"kind":"arxiv","id":"1711.09708","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09708","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09708v1","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09708","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"pith_short_12","alias_value":"DZFHMMWCKNX6","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"DZFHMMWCKNX6YXKD","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"DZFHMMWC","created_at":"2026-05-18T12:31:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:DZFHMMWCKNX6YXKD4CQFCMWNA7","target":"record","payload":{"canonical_record":{"source":{"id":"1711.09708","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-27T14:37:59Z","cross_cats_sorted":[],"title_canon_sha256":"a15588ec3b7741d9d0aaa6558d1abe86022d0ae1fda184a02ff6d46466d1ee19","abstract_canon_sha256":"293e056fce41af5e2b9472b8aae631688beba2b4119116b2c0b33683e0b21a7f"},"schema_version":"1.0"},"canonical_sha256":"1e4a7632c2536fec5d43e0a05132cd07e762d4a567abb6efe14029e46a5c455d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:34.750380Z","signature_b64":"GhIJJqSCnh0gt8+wLZtGC3/fRqbA79sd2lLzKVORdkMcfpnPDawHLY9P5jVH+fq+2k2BMroMRW2RA8wcdx6RDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e4a7632c2536fec5d43e0a05132cd07e762d4a567abb6efe14029e46a5c455d","last_reissued_at":"2026-05-18T00:29:34.749754Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:34.749754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1711.09708","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":"2026-05-18T00:29:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Sb2aGW3WvSibS5mSgyJJGcpepuazue8efJpK78CJrzmfebvH2r/ic5HHfuyPtnx5ypUiSohF9YyBZP6PMVgBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T11:14:22.317819Z"},"content_sha256":"16c0db5554911795a6c67d1aba9246e3ef10b8cc3888a42e350b1338e0946f3f","schema_version":"1.0","event_id":"sha256:16c0db5554911795a6c67d1aba9246e3ef10b8cc3888a42e350b1338e0946f3f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:DZFHMMWCKNX6YXKD4CQFCMWNA7","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Classifier Selection with Permutation Tests","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Argimiro Arratia, Ariel Duarte-Lopez, Marta Arias","submitted_at":"2017-11-27T14:37:59Z","abstract_excerpt":"This work presents a content-based recommender system for machine learning classifier algorithms. Given a new data set, a recommendation of what classifier is likely to perform best is made based on classifier performance over similar known data sets. This similarity is measured according to a data set characterization that includes several state-of-the-art metrics taking into account physical structure, statis- tics, and information theory. A novelty with respect to prior work is the use of a robust approach based on permutation tests to directly assess whether a given learning algorithm is a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09708","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":"2026-05-18T00:29:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+b7QUpKLawUBcbRXgZWSFO4n6A2V2F5HeAVy5nx85bThAWTadUO+jan9fLhJ90CDG/VSYRCPIPFhxagGULs6Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-10T11:14:22.318579Z"},"content_sha256":"23407ba563b896199ce099d0ab4eae7eb823f15b40ee1b367f8c17a7c2ed0e83","schema_version":"1.0","event_id":"sha256:23407ba563b896199ce099d0ab4eae7eb823f15b40ee1b367f8c17a7c2ed0e83"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DZFHMMWCKNX6YXKD4CQFCMWNA7/bundle.json","state_url":"https://pith.science/pith/DZFHMMWCKNX6YXKD4CQFCMWNA7/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DZFHMMWCKNX6YXKD4CQFCMWNA7/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":"2026-06-10T11:14:22Z","links":{"resolver":"https://pith.science/pith/DZFHMMWCKNX6YXKD4CQFCMWNA7","bundle":"https://pith.science/pith/DZFHMMWCKNX6YXKD4CQFCMWNA7/bundle.json","state":"https://pith.science/pith/DZFHMMWCKNX6YXKD4CQFCMWNA7/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DZFHMMWCKNX6YXKD4CQFCMWNA7/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:DZFHMMWCKNX6YXKD4CQFCMWNA7","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":"293e056fce41af5e2b9472b8aae631688beba2b4119116b2c0b33683e0b21a7f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-27T14:37:59Z","title_canon_sha256":"a15588ec3b7741d9d0aaa6558d1abe86022d0ae1fda184a02ff6d46466d1ee19"},"schema_version":"1.0","source":{"id":"1711.09708","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1711.09708","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"arxiv_version","alias_value":"1711.09708v1","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1711.09708","created_at":"2026-05-18T00:29:34Z"},{"alias_kind":"pith_short_12","alias_value":"DZFHMMWCKNX6","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_16","alias_value":"DZFHMMWCKNX6YXKD","created_at":"2026-05-18T12:31:12Z"},{"alias_kind":"pith_short_8","alias_value":"DZFHMMWC","created_at":"2026-05-18T12:31:12Z"}],"graph_snapshots":[{"event_id":"sha256:23407ba563b896199ce099d0ab4eae7eb823f15b40ee1b367f8c17a7c2ed0e83","target":"graph","created_at":"2026-05-18T00:29:34Z","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":"This work presents a content-based recommender system for machine learning classifier algorithms. Given a new data set, a recommendation of what classifier is likely to perform best is made based on classifier performance over similar known data sets. This similarity is measured according to a data set characterization that includes several state-of-the-art metrics taking into account physical structure, statis- tics, and information theory. A novelty with respect to prior work is the use of a robust approach based on permutation tests to directly assess whether a given learning algorithm is a","authors_text":"Argimiro Arratia, Ariel Duarte-Lopez, Marta Arias","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-27T14:37:59Z","title":"Classifier Selection with Permutation Tests"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1711.09708","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":"sha256:16c0db5554911795a6c67d1aba9246e3ef10b8cc3888a42e350b1338e0946f3f","target":"record","created_at":"2026-05-18T00:29:34Z","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":"293e056fce41af5e2b9472b8aae631688beba2b4119116b2c0b33683e0b21a7f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2017-11-27T14:37:59Z","title_canon_sha256":"a15588ec3b7741d9d0aaa6558d1abe86022d0ae1fda184a02ff6d46466d1ee19"},"schema_version":"1.0","source":{"id":"1711.09708","kind":"arxiv","version":1}},"canonical_sha256":"1e4a7632c2536fec5d43e0a05132cd07e762d4a567abb6efe14029e46a5c455d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e4a7632c2536fec5d43e0a05132cd07e762d4a567abb6efe14029e46a5c455d","first_computed_at":"2026-05-18T00:29:34.749754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:29:34.749754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GhIJJqSCnh0gt8+wLZtGC3/fRqbA79sd2lLzKVORdkMcfpnPDawHLY9P5jVH+fq+2k2BMroMRW2RA8wcdx6RDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:29:34.750380Z","signed_message":"canonical_sha256_bytes"},"source_id":"1711.09708","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:16c0db5554911795a6c67d1aba9246e3ef10b8cc3888a42e350b1338e0946f3f","sha256:23407ba563b896199ce099d0ab4eae7eb823f15b40ee1b367f8c17a7c2ed0e83"],"state_sha256":"1db62e8e349c49b7a200a07e0a562037643139f3b049770a095f737a2cc788d5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1EAUv2xb52I3n0ax4jSTObXUWpnBTBBWW21rwKyfvL0NwFF+wmPZM/heFE8/Rjy+UE525IbmjsaItKUBrqbmCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-10T11:14:22.322675Z","bundle_sha256":"25854b67e3ca31db2522b2f694970782b2bea0f6e01b6dc302955409d4f96253"}}