{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:LMMHCDMN3YKFSISSNJYMB7XOAZ","short_pith_number":"pith:LMMHCDMN","canonical_record":{"source":{"id":"2102.06789","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2021-02-12T21:49:12Z","cross_cats_sorted":[],"title_canon_sha256":"39415aa2c85b7b44b8a2f313b100e02825bdba0ac16d3a5ae508908cf814c8e1","abstract_canon_sha256":"09c97c8d64c00294368e677a58887b9cc0c938edc032672720fceea0ac57abac"},"schema_version":"1.0"},"canonical_sha256":"5b18710d8dde145922526a70c0feee06505a713e682ce9a83da1bc111b0560fa","source":{"kind":"arxiv","id":"2102.06789","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.06789","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"arxiv_version","alias_value":"2102.06789v1","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.06789","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"pith_short_12","alias_value":"LMMHCDMN3YKF","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"pith_short_16","alias_value":"LMMHCDMN3YKFSISS","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"pith_short_8","alias_value":"LMMHCDMN","created_at":"2026-07-05T02:14:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:LMMHCDMN3YKFSISSNJYMB7XOAZ","target":"record","payload":{"canonical_record":{"source":{"id":"2102.06789","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2021-02-12T21:49:12Z","cross_cats_sorted":[],"title_canon_sha256":"39415aa2c85b7b44b8a2f313b100e02825bdba0ac16d3a5ae508908cf814c8e1","abstract_canon_sha256":"09c97c8d64c00294368e677a58887b9cc0c938edc032672720fceea0ac57abac"},"schema_version":"1.0"},"canonical_sha256":"5b18710d8dde145922526a70c0feee06505a713e682ce9a83da1bc111b0560fa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:14:58.475368Z","signature_b64":"SuHdrL9vRZqhJGprTiExxvfRM06ddQbHtr6OnnAV5QO7YvzBGS38dn8N81ro9igxA5K0vzCIV7npHcXQR8SwCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b18710d8dde145922526a70c0feee06505a713e682ce9a83da1bc111b0560fa","last_reissued_at":"2026-07-05T02:14:58.474907Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:14:58.474907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2102.06789","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":"2026-07-05T02:14:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lys7ir6rvQmwWgXfZeZt0hWpmyf0id+klUYQtjot66OCFphbe2Py6cZ4ZmlIo4SHUEAU5jK9Xt3LIk46TsHrDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T12:23:34.503986Z"},"content_sha256":"03ec6371e8d6b1a4fd715be1f6dd8867bddbe2902e4b5a457e965a8d1fc535e9","schema_version":"1.0","event_id":"sha256:03ec6371e8d6b1a4fd715be1f6dd8867bddbe2902e4b5a457e965a8d1fc535e9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:LMMHCDMN3YKFSISSNJYMB7XOAZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatial Interpolation-based Learned Index for Range and kNN Queries","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Rongxing Lu, Songnian Zhang, Suprio Ray, Yandong Zheng","submitted_at":"2021-02-12T21:49:12Z","abstract_excerpt":"A corpus of recent work has revealed that the learned index can improve query performance while reducing the storage overhead. It potentially offers an opportunity to address the spatial query processing challenges caused by the surge in location-based services. Although several learned indexes have been proposed to process spatial data, the main idea behind these approaches is to utilize the existing one-dimensional learned models, which requires either converting the spatial data into one-dimensional data or applying the learned model on individual dimensions separately. As a result, these a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.06789","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/2102.06789/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":"2026-07-05T02:14:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1v2AhrdGmi5kwBPsVRwkMGlMv2BxK4UClA1jDPeFHwd7oaUohAzmf+vVYIlkCPFtHBqqekAMX3t6DGlpJ5GpAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T12:23:34.504372Z"},"content_sha256":"38236cd171eb5f4028d879769d17c5f411c4c29c3029500aebf814a4b4300ae2","schema_version":"1.0","event_id":"sha256:38236cd171eb5f4028d879769d17c5f411c4c29c3029500aebf814a4b4300ae2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LMMHCDMN3YKFSISSNJYMB7XOAZ/bundle.json","state_url":"https://pith.science/pith/LMMHCDMN3YKFSISSNJYMB7XOAZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LMMHCDMN3YKFSISSNJYMB7XOAZ/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":"2026-07-08T12:23:34Z","links":{"resolver":"https://pith.science/pith/LMMHCDMN3YKFSISSNJYMB7XOAZ","bundle":"https://pith.science/pith/LMMHCDMN3YKFSISSNJYMB7XOAZ/bundle.json","state":"https://pith.science/pith/LMMHCDMN3YKFSISSNJYMB7XOAZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LMMHCDMN3YKFSISSNJYMB7XOAZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:LMMHCDMN3YKFSISSNJYMB7XOAZ","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":"09c97c8d64c00294368e677a58887b9cc0c938edc032672720fceea0ac57abac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2021-02-12T21:49:12Z","title_canon_sha256":"39415aa2c85b7b44b8a2f313b100e02825bdba0ac16d3a5ae508908cf814c8e1"},"schema_version":"1.0","source":{"id":"2102.06789","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.06789","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"arxiv_version","alias_value":"2102.06789v1","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.06789","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"pith_short_12","alias_value":"LMMHCDMN3YKF","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"pith_short_16","alias_value":"LMMHCDMN3YKFSISS","created_at":"2026-07-05T02:14:58Z"},{"alias_kind":"pith_short_8","alias_value":"LMMHCDMN","created_at":"2026-07-05T02:14:58Z"}],"graph_snapshots":[{"event_id":"sha256:38236cd171eb5f4028d879769d17c5f411c4c29c3029500aebf814a4b4300ae2","target":"graph","created_at":"2026-07-05T02:14:58Z","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/2102.06789/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A corpus of recent work has revealed that the learned index can improve query performance while reducing the storage overhead. It potentially offers an opportunity to address the spatial query processing challenges caused by the surge in location-based services. Although several learned indexes have been proposed to process spatial data, the main idea behind these approaches is to utilize the existing one-dimensional learned models, which requires either converting the spatial data into one-dimensional data or applying the learned model on individual dimensions separately. As a result, these a","authors_text":"Rongxing Lu, Songnian Zhang, Suprio Ray, Yandong Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2021-02-12T21:49:12Z","title":"Spatial Interpolation-based Learned Index for Range and kNN Queries"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.06789","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":"sha256:03ec6371e8d6b1a4fd715be1f6dd8867bddbe2902e4b5a457e965a8d1fc535e9","target":"record","created_at":"2026-07-05T02:14:58Z","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":"09c97c8d64c00294368e677a58887b9cc0c938edc032672720fceea0ac57abac","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2021-02-12T21:49:12Z","title_canon_sha256":"39415aa2c85b7b44b8a2f313b100e02825bdba0ac16d3a5ae508908cf814c8e1"},"schema_version":"1.0","source":{"id":"2102.06789","kind":"arxiv","version":1}},"canonical_sha256":"5b18710d8dde145922526a70c0feee06505a713e682ce9a83da1bc111b0560fa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b18710d8dde145922526a70c0feee06505a713e682ce9a83da1bc111b0560fa","first_computed_at":"2026-07-05T02:14:58.474907Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:14:58.474907Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SuHdrL9vRZqhJGprTiExxvfRM06ddQbHtr6OnnAV5QO7YvzBGS38dn8N81ro9igxA5K0vzCIV7npHcXQR8SwCw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:14:58.475368Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.06789","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:03ec6371e8d6b1a4fd715be1f6dd8867bddbe2902e4b5a457e965a8d1fc535e9","sha256:38236cd171eb5f4028d879769d17c5f411c4c29c3029500aebf814a4b4300ae2"],"state_sha256":"aba9d80506a7be7188cdbd4bcc894156eb5d20e1bf03cfbb9076d1139006ed84"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vW4BqJhHNZ1+nXA/IZfnaPVsLjebEpAB7vSMuFweDyAIKKBsTkJClStvNal8PK8G+dX5M0K9AUqv9POjPeX5DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T12:23:34.506523Z","bundle_sha256":"f278c86bfa82d11bd42fb1afafcbd6121e4f5309108e3dc0a0494b680b007a62"}}