{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:I4DZRX75PC22B7JAWNQGSKKG5C","short_pith_number":"pith:I4DZRX75","canonical_record":{"source":{"id":"2505.17810","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:28:10Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"6a29d324b8a4922d71e97b9d401311b68c882b5464c730b2bd0d2e238e23a347","abstract_canon_sha256":"fb2a1c496d5a01dc9c925db546410082bcb91588cfd52572e29c83d54605d050"},"schema_version":"1.0"},"canonical_sha256":"470798dffd78b5a0fd20b360692946e89a392261b7701c5d00f773792a8b2a1f","source":{"kind":"arxiv","id":"2505.17810","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17810","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17810v1","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17810","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_12","alias_value":"I4DZRX75PC22","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_16","alias_value":"I4DZRX75PC22B7JA","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_8","alias_value":"I4DZRX75","created_at":"2026-07-05T11:08:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:I4DZRX75PC22B7JAWNQGSKKG5C","target":"record","payload":{"canonical_record":{"source":{"id":"2505.17810","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:28:10Z","cross_cats_sorted":["cs.IR"],"title_canon_sha256":"6a29d324b8a4922d71e97b9d401311b68c882b5464c730b2bd0d2e238e23a347","abstract_canon_sha256":"fb2a1c496d5a01dc9c925db546410082bcb91588cfd52572e29c83d54605d050"},"schema_version":"1.0"},"canonical_sha256":"470798dffd78b5a0fd20b360692946e89a392261b7701c5d00f773792a8b2a1f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:08:32.140442Z","signature_b64":"uZ82hFVhIZWLX6soaEw6zpbcojpbEX3kMFYbyWwDmG1GUryKMGiKzHoIy1KQsDqZ66PYLPqfm6bouJA+txnOAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"470798dffd78b5a0fd20b360692946e89a392261b7701c5d00f773792a8b2a1f","last_reissued_at":"2026-07-05T11:08:32.139973Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:08:32.139973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.17810","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":"2026-07-05T11:08:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eHHCM5A6G5t59zHUWpKZviUwMyIrsU1FErresxBcgQz4Qx9IgAY899Gi/urGaoWpnWj4PttAHHhKI8OXAItkCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:10:53.407286Z"},"content_sha256":"55780d962765fb69f5ac4b2a0ac4b049f53570965816c1de8f22352adfd486a4","schema_version":"1.0","event_id":"sha256:55780d962765fb69f5ac4b2a0ac4b049f53570965816c1de8f22352adfd486a4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:I4DZRX75PC22B7JAWNQGSKKG5C","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"VIBE: Vector Index Benchmark for Embeddings","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.IR"],"primary_cat":"cs.LG","authors_text":"Elias J\\\"a\\\"asaari, Martin Aum\\\"uller, Matteo Ceccarello, Teemu Roos, Ville Hyv\\\"onen","submitted_at":"2025-05-23T12:28:10Z","abstract_excerpt":"Approximate nearest neighbor (ANN) search is a performance-critical component of many machine learning pipelines. Rigorous benchmarking is essential for evaluating the performance of vector indexes for ANN search. However, the datasets of the existing benchmarks are no longer representative of the current applications of ANN search. Hence, there is an urgent need for an up-to-date set of benchmarks. To this end, we introduce Vector Index Benchmark for Embeddings (VIBE), an open source project for benchmarking ANN algorithms. VIBE contains a pipeline for creating benchmark datasets using dense "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17810","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2505.17810/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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":"2026-07-05T11:08:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e83ljJY1I0ghbFXbNpFA0DM7puNBgbRCdDKwGQRIwiD+YuSPsDVHk6+qsjSQg1AZz9xI1NPUKPTjlSsIzVrZDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T03:10:53.407659Z"},"content_sha256":"f273f65a4e154ca348d1bb0a5ccbf73c43c088f9832528ca7dfbdffa336d4086","schema_version":"1.0","event_id":"sha256:f273f65a4e154ca348d1bb0a5ccbf73c43c088f9832528ca7dfbdffa336d4086"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I4DZRX75PC22B7JAWNQGSKKG5C/bundle.json","state_url":"https://pith.science/pith/I4DZRX75PC22B7JAWNQGSKKG5C/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I4DZRX75PC22B7JAWNQGSKKG5C/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":"2026-08-04T03:10:53Z","links":{"resolver":"https://pith.science/pith/I4DZRX75PC22B7JAWNQGSKKG5C","bundle":"https://pith.science/pith/I4DZRX75PC22B7JAWNQGSKKG5C/bundle.json","state":"https://pith.science/pith/I4DZRX75PC22B7JAWNQGSKKG5C/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I4DZRX75PC22B7JAWNQGSKKG5C/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I4DZRX75PC22B7JAWNQGSKKG5C","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":"fb2a1c496d5a01dc9c925db546410082bcb91588cfd52572e29c83d54605d050","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:28:10Z","title_canon_sha256":"6a29d324b8a4922d71e97b9d401311b68c882b5464c730b2bd0d2e238e23a347"},"schema_version":"1.0","source":{"id":"2505.17810","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.17810","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"arxiv_version","alias_value":"2505.17810v1","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.17810","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_12","alias_value":"I4DZRX75PC22","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_16","alias_value":"I4DZRX75PC22B7JA","created_at":"2026-07-05T11:08:32Z"},{"alias_kind":"pith_short_8","alias_value":"I4DZRX75","created_at":"2026-07-05T11:08:32Z"}],"graph_snapshots":[{"event_id":"sha256:f273f65a4e154ca348d1bb0a5ccbf73c43c088f9832528ca7dfbdffa336d4086","target":"graph","created_at":"2026-07-05T11:08:32Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2505.17810/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Approximate nearest neighbor (ANN) search is a performance-critical component of many machine learning pipelines. Rigorous benchmarking is essential for evaluating the performance of vector indexes for ANN search. However, the datasets of the existing benchmarks are no longer representative of the current applications of ANN search. Hence, there is an urgent need for an up-to-date set of benchmarks. To this end, we introduce Vector Index Benchmark for Embeddings (VIBE), an open source project for benchmarking ANN algorithms. VIBE contains a pipeline for creating benchmark datasets using dense ","authors_text":"Elias J\\\"a\\\"asaari, Martin Aum\\\"uller, Matteo Ceccarello, Teemu Roos, Ville Hyv\\\"onen","cross_cats":["cs.IR"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:28:10Z","title":"VIBE: Vector Index Benchmark for Embeddings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.17810","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":"sha256:55780d962765fb69f5ac4b2a0ac4b049f53570965816c1de8f22352adfd486a4","target":"record","created_at":"2026-07-05T11:08:32Z","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":"fb2a1c496d5a01dc9c925db546410082bcb91588cfd52572e29c83d54605d050","cross_cats_sorted":["cs.IR"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-05-23T12:28:10Z","title_canon_sha256":"6a29d324b8a4922d71e97b9d401311b68c882b5464c730b2bd0d2e238e23a347"},"schema_version":"1.0","source":{"id":"2505.17810","kind":"arxiv","version":1}},"canonical_sha256":"470798dffd78b5a0fd20b360692946e89a392261b7701c5d00f773792a8b2a1f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"470798dffd78b5a0fd20b360692946e89a392261b7701c5d00f773792a8b2a1f","first_computed_at":"2026-07-05T11:08:32.139973Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:08:32.139973Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uZ82hFVhIZWLX6soaEw6zpbcojpbEX3kMFYbyWwDmG1GUryKMGiKzHoIy1KQsDqZ66PYLPqfm6bouJA+txnOAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:08:32.140442Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.17810","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55780d962765fb69f5ac4b2a0ac4b049f53570965816c1de8f22352adfd486a4","sha256:f273f65a4e154ca348d1bb0a5ccbf73c43c088f9832528ca7dfbdffa336d4086"],"state_sha256":"7bbb6644cdefa62c3cc05db4ec0302062d9e23088b23d2989250b2e218a165fc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aeGAH6ahb4vHVvst7l3p7WL+FtkwrTPobx6I97ILWHGj3SOHuF5XIWv7dlDPZONMTSzniScyNZvwT9yq9ZmzDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T03:10:53.410057Z","bundle_sha256":"0b5591d804281e0d617cdaf3d6d289aa09e45ac4a33cfaeb0fc4088ddaad6f34"}}