{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:52DP4TRKA2RGCKQSX7XUOHYI3D","short_pith_number":"pith:52DP4TRK","canonical_record":{"source":{"id":"1706.01566","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-06T00:14:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"81216933bed5073dbb780ec437e85da1f95a2799b298b0fec175a74ed4082ca6","abstract_canon_sha256":"2be0e7b0caebc1daec24a0b9104e49d2e06a5981a1ce87de175cc4d30a09cdc3"},"schema_version":"1.0"},"canonical_sha256":"ee86fe4e2a06a2612a12bfef471f08d8c132735506788a9da0abc3fe6bd015be","source":{"kind":"arxiv","id":"1706.01566","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.01566","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"arxiv_version","alias_value":"1706.01566v4","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01566","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"pith_short_12","alias_value":"52DP4TRKA2RG","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"52DP4TRKA2RGCKQS","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"52DP4TRK","created_at":"2026-05-18T12:31:00Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:52DP4TRKA2RGCKQSX7XUOHYI3D","target":"record","payload":{"canonical_record":{"source":{"id":"1706.01566","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-06T00:14:05Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"81216933bed5073dbb780ec437e85da1f95a2799b298b0fec175a74ed4082ca6","abstract_canon_sha256":"2be0e7b0caebc1daec24a0b9104e49d2e06a5981a1ce87de175cc4d30a09cdc3"},"schema_version":"1.0"},"canonical_sha256":"ee86fe4e2a06a2612a12bfef471f08d8c132735506788a9da0abc3fe6bd015be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:46:42.129499Z","signature_b64":"bLniJ0K1J4NOzvAgxfjKlsDs60LCNvIxnI/ARK4Z1lZ0zST3qNsyWitJZ4YxfvhKSQCqEn2dex+lnixwG2wqAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ee86fe4e2a06a2612a12bfef471f08d8c132735506788a9da0abc3fe6bd015be","last_reissued_at":"2026-05-17T23:46:42.128854Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:46:42.128854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1706.01566","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:46:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Cwe3NLXkWkaWjISLdDBjvwg8tYGSUtoZjlc8aYQXz+74DxdorCgNHfIT17aod8Yf8bEqwNpMylrdlC9IOYDBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T04:45:53.214124Z"},"content_sha256":"182aec94339e26dc0f151646b279256ffde06c3614e34eb64f986b5a446c0dae","schema_version":"1.0","event_id":"sha256:182aec94339e26dc0f151646b279256ffde06c3614e34eb64f986b5a446c0dae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:52DP4TRKA2RGCKQSX7XUOHYI3D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Open Loop Hyperparameter Optimization and Determinantal Point Processes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Jesse Dodge, Kevin Jamieson, Noah A. Smith","submitted_at":"2017-06-06T00:14:05Z","abstract_excerpt":"Driven by the need for parallelizable hyperparameter optimization methods, this paper studies \\emph{open loop} search methods: sequences that are predetermined and can be generated before a single configuration is evaluated. Examples include grid search, uniform random search, low discrepancy sequences, and other sampling distributions. In particular, we propose the use of $k$-determinantal point processes in hyperparameter optimization via random search. Compared to conventional uniform random search where hyperparameter settings are sampled independently, a $k$-DPP promotes diversity. We des"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01566","kind":"arxiv","version":4},"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":"2026-05-17T23:46:42Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CC1Q1s7N5te0LnXChdLkyj+QUH8SF3Rpktx/ZUH+9Y52dIO6ICME+1GxVh3KWjl+NnA21OcSWau0HFwlQrVgAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T04:45:53.214482Z"},"content_sha256":"3c169814f436755c05ce9b7a312c2301f1caa39ac819f821227f87604c7e3f5f","schema_version":"1.0","event_id":"sha256:3c169814f436755c05ce9b7a312c2301f1caa39ac819f821227f87604c7e3f5f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/52DP4TRKA2RGCKQSX7XUOHYI3D/bundle.json","state_url":"https://pith.science/pith/52DP4TRKA2RGCKQSX7XUOHYI3D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/52DP4TRKA2RGCKQSX7XUOHYI3D/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":"2026-06-01T04:45:53Z","links":{"resolver":"https://pith.science/pith/52DP4TRKA2RGCKQSX7XUOHYI3D","bundle":"https://pith.science/pith/52DP4TRKA2RGCKQSX7XUOHYI3D/bundle.json","state":"https://pith.science/pith/52DP4TRKA2RGCKQSX7XUOHYI3D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/52DP4TRKA2RGCKQSX7XUOHYI3D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:52DP4TRKA2RGCKQSX7XUOHYI3D","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":"2be0e7b0caebc1daec24a0b9104e49d2e06a5981a1ce87de175cc4d30a09cdc3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-06T00:14:05Z","title_canon_sha256":"81216933bed5073dbb780ec437e85da1f95a2799b298b0fec175a74ed4082ca6"},"schema_version":"1.0","source":{"id":"1706.01566","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1706.01566","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"arxiv_version","alias_value":"1706.01566v4","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1706.01566","created_at":"2026-05-17T23:46:42Z"},{"alias_kind":"pith_short_12","alias_value":"52DP4TRKA2RG","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_16","alias_value":"52DP4TRKA2RGCKQS","created_at":"2026-05-18T12:31:00Z"},{"alias_kind":"pith_short_8","alias_value":"52DP4TRK","created_at":"2026-05-18T12:31:00Z"}],"graph_snapshots":[{"event_id":"sha256:3c169814f436755c05ce9b7a312c2301f1caa39ac819f821227f87604c7e3f5f","target":"graph","created_at":"2026-05-17T23:46:42Z","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":"Driven by the need for parallelizable hyperparameter optimization methods, this paper studies \\emph{open loop} search methods: sequences that are predetermined and can be generated before a single configuration is evaluated. Examples include grid search, uniform random search, low discrepancy sequences, and other sampling distributions. In particular, we propose the use of $k$-determinantal point processes in hyperparameter optimization via random search. Compared to conventional uniform random search where hyperparameter settings are sampled independently, a $k$-DPP promotes diversity. We des","authors_text":"Jesse Dodge, Kevin Jamieson, Noah A. Smith","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-06T00:14:05Z","title":"Open Loop Hyperparameter Optimization and Determinantal Point Processes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1706.01566","kind":"arxiv","version":4},"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":"sha256:182aec94339e26dc0f151646b279256ffde06c3614e34eb64f986b5a446c0dae","target":"record","created_at":"2026-05-17T23:46:42Z","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":"2be0e7b0caebc1daec24a0b9104e49d2e06a5981a1ce87de175cc4d30a09cdc3","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2017-06-06T00:14:05Z","title_canon_sha256":"81216933bed5073dbb780ec437e85da1f95a2799b298b0fec175a74ed4082ca6"},"schema_version":"1.0","source":{"id":"1706.01566","kind":"arxiv","version":4}},"canonical_sha256":"ee86fe4e2a06a2612a12bfef471f08d8c132735506788a9da0abc3fe6bd015be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ee86fe4e2a06a2612a12bfef471f08d8c132735506788a9da0abc3fe6bd015be","first_computed_at":"2026-05-17T23:46:42.128854Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:46:42.128854Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bLniJ0K1J4NOzvAgxfjKlsDs60LCNvIxnI/ARK4Z1lZ0zST3qNsyWitJZ4YxfvhKSQCqEn2dex+lnixwG2wqAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:46:42.129499Z","signed_message":"canonical_sha256_bytes"},"source_id":"1706.01566","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:182aec94339e26dc0f151646b279256ffde06c3614e34eb64f986b5a446c0dae","sha256:3c169814f436755c05ce9b7a312c2301f1caa39ac819f821227f87604c7e3f5f"],"state_sha256":"d279c60d6acb9e71669ef4b84154484b316a011bd13afa2a28b0090aba77c474"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HhDH7/juM97ui5RlQVB/s5G1uP70xl6DpSekoGxgiOukzjNUObOMFIm6krCgAEOj29M1Fltg1H2PzClhLCM6DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T04:45:53.216537Z","bundle_sha256":"f87b6f7ab8095aad05cefeab262a8d836162f1d753eefeb7bfa7ff4e483c2d43"}}