{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:5QHAVJSSHLKE6URKJSMEPKI2SK","short_pith_number":"pith:5QHAVJSS","canonical_record":{"source":{"id":"2606.19034","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-17T13:05:08Z","cross_cats_sorted":[],"title_canon_sha256":"ef42ee91c9d177e7422fd7f3e07c88b68fe1e39481d640907d9a4779669ca639","abstract_canon_sha256":"1d154d11a4aad6012b3147d43332b519887efe1ca2145be30b7024da32359adf"},"schema_version":"1.0"},"canonical_sha256":"ec0e0aa6523ad44f522a4c9847a91a928e0792a860cc8f063dddc0b44eb1696f","source":{"kind":"arxiv","id":"2606.19034","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19034","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19034v1","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19034","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"pith_short_12","alias_value":"5QHAVJSSHLKE","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"pith_short_16","alias_value":"5QHAVJSSHLKE6URK","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"pith_short_8","alias_value":"5QHAVJSS","created_at":"2026-06-19T16:11:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:5QHAVJSSHLKE6URKJSMEPKI2SK","target":"record","payload":{"canonical_record":{"source":{"id":"2606.19034","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-17T13:05:08Z","cross_cats_sorted":[],"title_canon_sha256":"ef42ee91c9d177e7422fd7f3e07c88b68fe1e39481d640907d9a4779669ca639","abstract_canon_sha256":"1d154d11a4aad6012b3147d43332b519887efe1ca2145be30b7024da32359adf"},"schema_version":"1.0"},"canonical_sha256":"ec0e0aa6523ad44f522a4c9847a91a928e0792a860cc8f063dddc0b44eb1696f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:11:54.981115Z","signature_b64":"L1sc9PsuAuregELMSy4T9A+cESwjh55fddVV+b1GV1/jBhEkBjEbVSoGEwh2QNPgFeQmcNFv60kaBaAJNQXeBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ec0e0aa6523ad44f522a4c9847a91a928e0792a860cc8f063dddc0b44eb1696f","last_reissued_at":"2026-06-19T16:11:54.980773Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:11:54.980773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.19034","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":"2026-06-19T16:11:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"A0EmXHf4cg0zWsYBhapvrt/XPl2C8XM5DBH4YznDgc8YJdBLhz79sSEyazHaXZhm6uRGcW7tcevjwtDczttrBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T10:01:02.470789Z"},"content_sha256":"73cbe72bc058939e755dd7b978c58554d91cb6cff00a0a4b763c1dfcdf9f46e1","schema_version":"1.0","event_id":"sha256:73cbe72bc058939e755dd7b978c58554d91cb6cff00a0a4b763c1dfcdf9f46e1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:5QHAVJSSHLKE6URKJSMEPKI2SK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating Learned Spatial Indexes","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Jun Yang, Michael Mathioudakis, Sachith Pai","submitted_at":"2026-06-17T13:05:08Z","abstract_excerpt":"Learned indexes improve query performance by adapting search structures to data and workload distributions. Although many learned indexes have been proposed, their trade-offs remain insufficiently understood for spatial range queries, where performance depends not only on model accuracy but also on data and query skew, layout granularity, selectivity, and storage behavior.\n  In this work, we perform an experimental study of learned indexes for spatial range queries. We examine a representative set of indexes and address seven fundamental questions: (1) How does block size influence query laten"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19034","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/2606.19034/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":"2026-06-19T16:11:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5owEvVHEwpxEi/tradYgklDqefZuN1Uh6oeCLbnLMVSxSf487vqo3zGynJbYILRMlM4/D1eItpK6n73x2qK5Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T10:01:02.471159Z"},"content_sha256":"9e874b523a2fbe38e538ac454c53ad4747252128f02163c6b82e87074d1d4684","schema_version":"1.0","event_id":"sha256:9e874b523a2fbe38e538ac454c53ad4747252128f02163c6b82e87074d1d4684"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5QHAVJSSHLKE6URKJSMEPKI2SK/bundle.json","state_url":"https://pith.science/pith/5QHAVJSSHLKE6URKJSMEPKI2SK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5QHAVJSSHLKE6URKJSMEPKI2SK/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":"2026-06-28T10:01:02Z","links":{"resolver":"https://pith.science/pith/5QHAVJSSHLKE6URKJSMEPKI2SK","bundle":"https://pith.science/pith/5QHAVJSSHLKE6URKJSMEPKI2SK/bundle.json","state":"https://pith.science/pith/5QHAVJSSHLKE6URKJSMEPKI2SK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5QHAVJSSHLKE6URKJSMEPKI2SK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:5QHAVJSSHLKE6URKJSMEPKI2SK","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":"1d154d11a4aad6012b3147d43332b519887efe1ca2145be30b7024da32359adf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-17T13:05:08Z","title_canon_sha256":"ef42ee91c9d177e7422fd7f3e07c88b68fe1e39481d640907d9a4779669ca639"},"schema_version":"1.0","source":{"id":"2606.19034","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.19034","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"arxiv_version","alias_value":"2606.19034v1","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19034","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"pith_short_12","alias_value":"5QHAVJSSHLKE","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"pith_short_16","alias_value":"5QHAVJSSHLKE6URK","created_at":"2026-06-19T16:11:54Z"},{"alias_kind":"pith_short_8","alias_value":"5QHAVJSS","created_at":"2026-06-19T16:11:54Z"}],"graph_snapshots":[{"event_id":"sha256:9e874b523a2fbe38e538ac454c53ad4747252128f02163c6b82e87074d1d4684","target":"graph","created_at":"2026-06-19T16:11:54Z","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/2606.19034/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Learned indexes improve query performance by adapting search structures to data and workload distributions. Although many learned indexes have been proposed, their trade-offs remain insufficiently understood for spatial range queries, where performance depends not only on model accuracy but also on data and query skew, layout granularity, selectivity, and storage behavior.\n  In this work, we perform an experimental study of learned indexes for spatial range queries. We examine a representative set of indexes and address seven fundamental questions: (1) How does block size influence query laten","authors_text":"Jun Yang, Michael Mathioudakis, Sachith Pai","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-17T13:05:08Z","title":"Evaluating Learned Spatial Indexes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19034","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":"sha256:73cbe72bc058939e755dd7b978c58554d91cb6cff00a0a4b763c1dfcdf9f46e1","target":"record","created_at":"2026-06-19T16:11:54Z","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":"1d154d11a4aad6012b3147d43332b519887efe1ca2145be30b7024da32359adf","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.DB","submitted_at":"2026-06-17T13:05:08Z","title_canon_sha256":"ef42ee91c9d177e7422fd7f3e07c88b68fe1e39481d640907d9a4779669ca639"},"schema_version":"1.0","source":{"id":"2606.19034","kind":"arxiv","version":1}},"canonical_sha256":"ec0e0aa6523ad44f522a4c9847a91a928e0792a860cc8f063dddc0b44eb1696f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ec0e0aa6523ad44f522a4c9847a91a928e0792a860cc8f063dddc0b44eb1696f","first_computed_at":"2026-06-19T16:11:54.980773Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:54.980773Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"L1sc9PsuAuregELMSy4T9A+cESwjh55fddVV+b1GV1/jBhEkBjEbVSoGEwh2QNPgFeQmcNFv60kaBaAJNQXeBA==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:54.981115Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.19034","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73cbe72bc058939e755dd7b978c58554d91cb6cff00a0a4b763c1dfcdf9f46e1","sha256:9e874b523a2fbe38e538ac454c53ad4747252128f02163c6b82e87074d1d4684"],"state_sha256":"2d4c4110fc96110d62b7e69fab58dbb5fe0cab59b312c39e7292a1f893b1e0ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NDOUOa24YvLodDlLu9mBNONBwyE47wPvAofP0P9kslrhRuQOwLLJQdeoPM7UioOChg0YMTbx8Tfq4G0kpfqNAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T10:01:02.473081Z","bundle_sha256":"fa4f5d882af1bc5a1ea0c66602b234cd7df54c87ab05eb21a6dbe94663629e2e"}}