{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:TSZMRN2E5RBOKBQVHABM45GQ3I","short_pith_number":"pith:TSZMRN2E","canonical_record":{"source":{"id":"2505.15636","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-21T15:18:53Z","cross_cats_sorted":["cs.DB","cs.DS","cs.LG"],"title_canon_sha256":"ade3f839da88e75bb148c3864b1a8fe342870d66ab0debbc203f6eb7f87a821a","abstract_canon_sha256":"89ed4b97359c304cfd227cfce2e51ff69d1fe574670cd275d087f2dbf4757642"},"schema_version":"1.0"},"canonical_sha256":"9cb2c8b744ec42e506153802ce74d0da20eea7b359753f3443448b1954cfae91","source":{"kind":"arxiv","id":"2505.15636","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15636","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15636v1","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15636","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_12","alias_value":"TSZMRN2E5RBO","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_16","alias_value":"TSZMRN2E5RBOKBQV","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_8","alias_value":"TSZMRN2E","created_at":"2026-07-05T11:06:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:TSZMRN2E5RBOKBQVHABM45GQ3I","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15636","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-21T15:18:53Z","cross_cats_sorted":["cs.DB","cs.DS","cs.LG"],"title_canon_sha256":"ade3f839da88e75bb148c3864b1a8fe342870d66ab0debbc203f6eb7f87a821a","abstract_canon_sha256":"89ed4b97359c304cfd227cfce2e51ff69d1fe574670cd275d087f2dbf4757642"},"schema_version":"1.0"},"canonical_sha256":"9cb2c8b744ec42e506153802ce74d0da20eea7b359753f3443448b1954cfae91","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:06:48.803512Z","signature_b64":"pK0FDiRBn9V9CFPdU8K9TLU1PLXT2kSbReUQsTmikrhEjtAcmjTgsenlj7jyJynl5mtTIN6ijejP/f4YBvZmCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9cb2c8b744ec42e506153802ce74d0da20eea7b359753f3443448b1954cfae91","last_reissued_at":"2026-07-05T11:06:48.802929Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:06:48.802929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15636","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":"2026-07-05T11:06:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EJh8iGDXf8LEW8fjp4xWLRrzwXhheQoXhFEHKKelTAYmIvHXyNN0cCplMNCyW1rD1ieyy1rYTpAjrfPEAufLCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:52:00.503098Z"},"content_sha256":"66a1e1d64aa23ef78d691f3ea2f8775a0610a333d33be79b778effe48aef72bf","schema_version":"1.0","event_id":"sha256:66a1e1d64aa23ef78d691f3ea2f8775a0610a333d33be79b778effe48aef72bf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:TSZMRN2E5RBOKBQVHABM45GQ3I","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.DB","cs.DS","cs.LG"],"primary_cat":"cs.IR","authors_text":"Cameron Musco, Christopher Musco, Haya Diwan, Jinrui Gou, Torsten Suel, Yousef Al-Jazzazi","submitted_at":"2025-05-21T15:18:53Z","abstract_excerpt":"Nearest neighbor search is central in machine learning, information retrieval, and databases. For high-dimensional datasets, graph-based methods such as HNSW, DiskANN, and NSG have become popular thanks to their empirical accuracy and efficiency. These methods construct a directed graph over the dataset and perform beam search on the graph to find nodes close to a given query. While significant work has focused on practical refinements and theoretical understanding of graph-based methods, many questions remain. We propose a new distance-based termination condition for beam search to replace th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15636","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/2505.15636/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":"2026-07-05T11:06:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+cN1LRk+rJHe0D6SzGNIDwf45aeVnFVgUdnMzJe0osIipdTx+QXqYqfJFKKk5aTHaqpVn1DeFLpaDdxESGa9BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:52:00.503600Z"},"content_sha256":"ebe0ff604bebf5692cf6d9427c2130ba63773b8dc8aea764911beefe5f8706eb","schema_version":"1.0","event_id":"sha256:ebe0ff604bebf5692cf6d9427c2130ba63773b8dc8aea764911beefe5f8706eb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TSZMRN2E5RBOKBQVHABM45GQ3I/bundle.json","state_url":"https://pith.science/pith/TSZMRN2E5RBOKBQVHABM45GQ3I/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TSZMRN2E5RBOKBQVHABM45GQ3I/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":"2026-08-08T12:52:00Z","links":{"resolver":"https://pith.science/pith/TSZMRN2E5RBOKBQVHABM45GQ3I","bundle":"https://pith.science/pith/TSZMRN2E5RBOKBQVHABM45GQ3I/bundle.json","state":"https://pith.science/pith/TSZMRN2E5RBOKBQVHABM45GQ3I/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TSZMRN2E5RBOKBQVHABM45GQ3I/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TSZMRN2E5RBOKBQVHABM45GQ3I","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":"89ed4b97359c304cfd227cfce2e51ff69d1fe574670cd275d087f2dbf4757642","cross_cats_sorted":["cs.DB","cs.DS","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-21T15:18:53Z","title_canon_sha256":"ade3f839da88e75bb148c3864b1a8fe342870d66ab0debbc203f6eb7f87a821a"},"schema_version":"1.0","source":{"id":"2505.15636","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15636","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15636v1","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15636","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_12","alias_value":"TSZMRN2E5RBO","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_16","alias_value":"TSZMRN2E5RBOKBQV","created_at":"2026-07-05T11:06:48Z"},{"alias_kind":"pith_short_8","alias_value":"TSZMRN2E","created_at":"2026-07-05T11:06:48Z"}],"graph_snapshots":[{"event_id":"sha256:ebe0ff604bebf5692cf6d9427c2130ba63773b8dc8aea764911beefe5f8706eb","target":"graph","created_at":"2026-07-05T11:06:48Z","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/2505.15636/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Nearest neighbor search is central in machine learning, information retrieval, and databases. For high-dimensional datasets, graph-based methods such as HNSW, DiskANN, and NSG have become popular thanks to their empirical accuracy and efficiency. These methods construct a directed graph over the dataset and perform beam search on the graph to find nodes close to a given query. While significant work has focused on practical refinements and theoretical understanding of graph-based methods, many questions remain. We propose a new distance-based termination condition for beam search to replace th","authors_text":"Cameron Musco, Christopher Musco, Haya Diwan, Jinrui Gou, Torsten Suel, Yousef Al-Jazzazi","cross_cats":["cs.DB","cs.DS","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-21T15:18:53Z","title":"Distance Adaptive Beam Search for Provably Accurate Graph-Based Nearest Neighbor Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15636","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":"sha256:66a1e1d64aa23ef78d691f3ea2f8775a0610a333d33be79b778effe48aef72bf","target":"record","created_at":"2026-07-05T11:06:48Z","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":"89ed4b97359c304cfd227cfce2e51ff69d1fe574670cd275d087f2dbf4757642","cross_cats_sorted":["cs.DB","cs.DS","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-21T15:18:53Z","title_canon_sha256":"ade3f839da88e75bb148c3864b1a8fe342870d66ab0debbc203f6eb7f87a821a"},"schema_version":"1.0","source":{"id":"2505.15636","kind":"arxiv","version":1}},"canonical_sha256":"9cb2c8b744ec42e506153802ce74d0da20eea7b359753f3443448b1954cfae91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9cb2c8b744ec42e506153802ce74d0da20eea7b359753f3443448b1954cfae91","first_computed_at":"2026-07-05T11:06:48.802929Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:06:48.802929Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pK0FDiRBn9V9CFPdU8K9TLU1PLXT2kSbReUQsTmikrhEjtAcmjTgsenlj7jyJynl5mtTIN6ijejP/f4YBvZmCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:06:48.803512Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15636","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66a1e1d64aa23ef78d691f3ea2f8775a0610a333d33be79b778effe48aef72bf","sha256:ebe0ff604bebf5692cf6d9427c2130ba63773b8dc8aea764911beefe5f8706eb"],"state_sha256":"3b49fd0d353dea67db5e531f638b5a76404e0c1d853d5c3b2665537f93e3abc3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G2TAy4lPuvAZrKH3oG6+1raFLDWu2J/njtIaR/CsWy9UkpTd6lhlJhvbwUroKxGp8UgvhsOsPhbemC/+G0WGAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:52:00.510386Z","bundle_sha256":"65a5b074fb40b8aa8ef213b285f60e0929cebb5fe509a746df1f2102e40765f3"}}