{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GO4XRIFHP3BDNEAXRWFZWMCSKK","short_pith_number":"pith:GO4XRIFH","canonical_record":{"source":{"id":"2506.10092","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-06-11T18:24:11Z","cross_cats_sorted":[],"title_canon_sha256":"4201d167260dc5253e5363d05ba6bc25c683fa936cf9f3b59718ce3a55fd5a51","abstract_canon_sha256":"c5c126a9ef62997f5db67bbe6da393bab2df110c74c7a1021885544dbf8f66ba"},"schema_version":"1.0"},"canonical_sha256":"33b978a0a77ec23690178d8b9b30525297ccfe3f8ef60e7ff1813b02fffb927b","source":{"kind":"arxiv","id":"2506.10092","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10092","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10092v2","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10092","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"pith_short_12","alias_value":"GO4XRIFHP3BD","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"pith_short_16","alias_value":"GO4XRIFHP3BDNEAX","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"pith_short_8","alias_value":"GO4XRIFH","created_at":"2026-07-05T12:04:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GO4XRIFHP3BDNEAXRWFZWMCSKK","target":"record","payload":{"canonical_record":{"source":{"id":"2506.10092","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-06-11T18:24:11Z","cross_cats_sorted":[],"title_canon_sha256":"4201d167260dc5253e5363d05ba6bc25c683fa936cf9f3b59718ce3a55fd5a51","abstract_canon_sha256":"c5c126a9ef62997f5db67bbe6da393bab2df110c74c7a1021885544dbf8f66ba"},"schema_version":"1.0"},"canonical_sha256":"33b978a0a77ec23690178d8b9b30525297ccfe3f8ef60e7ff1813b02fffb927b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:04:36.365263Z","signature_b64":"wXbjL8AwYIhD2Hfu/T3TSmkDrZ9LQbNnCIa8oWYl47VOzvzsFlXx12MKftebVXxLkGMjkDfqlUazTLhRYQHXDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"33b978a0a77ec23690178d8b9b30525297ccfe3f8ef60e7ff1813b02fffb927b","last_reissued_at":"2026-07-05T12:04:36.364759Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:04:36.364759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.10092","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:04:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RHkIVGVvTBU82Bw1mU4pSmdxX5ctNxTzbhr2wTiz/2mAHq45mBp4MST6eQJ7XRZUYlwIUAvObd4kqHFgca+EAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:45:31.991349Z"},"content_sha256":"97dc83e0959e348af5ac798ddba98258cdf1a8814613e2cbe7e9432d33b4a519","schema_version":"1.0","event_id":"sha256:97dc83e0959e348af5ac798ddba98258cdf1a8814613e2cbe7e9432d33b4a519"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GO4XRIFHP3BDNEAXRWFZWMCSKK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GPU Acceleration of SQL Analytics on Compressed Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Carlo Curino, Hans Lehnert, Krystian Sakowski, Marius Dumitru, Matteo Interlandi, Rathijit Sen, Wei Cui, Zezhou Huang","submitted_at":"2025-06-11T18:24:11Z","abstract_excerpt":"GPUs are uniquely suited to accelerate (SQL) analytics workloads thanks to their massive compute parallelism and High Bandwidth Memory (HBM) -- when datasets fit in the GPU HBM, performance is unparalleled. Unfortunately, GPU HBMs remain typically small when compared with lower-bandwidth CPU main memory. Besides brute-force scaling across many GPUs, current solutions to accelerate queries on large datasets include leveraging data partitioning and loading smaller data batches in GPU HBM, and hybrid execution with a connected device (e.g., CPUs). Unfortunately, these approaches are exposed to th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10092","kind":"arxiv","version":2},"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/2506.10092/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":"2026-07-05T12:04:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DEZlorrlik1zt2EZz5xFIFotfe/4EZjgF/CpZHUzs1FbjeHSmeAvc9+JzyDmLKA9eSOgxeQ+90EGELmKIhkwAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T12:45:31.991847Z"},"content_sha256":"b73d1900b5203bd91e5d432694dceac803d6e9b9082406904ac5a252109f193a","schema_version":"1.0","event_id":"sha256:b73d1900b5203bd91e5d432694dceac803d6e9b9082406904ac5a252109f193a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GO4XRIFHP3BDNEAXRWFZWMCSKK/bundle.json","state_url":"https://pith.science/pith/GO4XRIFHP3BDNEAXRWFZWMCSKK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GO4XRIFHP3BDNEAXRWFZWMCSKK/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":"2026-08-08T12:45:31Z","links":{"resolver":"https://pith.science/pith/GO4XRIFHP3BDNEAXRWFZWMCSKK","bundle":"https://pith.science/pith/GO4XRIFHP3BDNEAXRWFZWMCSKK/bundle.json","state":"https://pith.science/pith/GO4XRIFHP3BDNEAXRWFZWMCSKK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GO4XRIFHP3BDNEAXRWFZWMCSKK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GO4XRIFHP3BDNEAXRWFZWMCSKK","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":"c5c126a9ef62997f5db67bbe6da393bab2df110c74c7a1021885544dbf8f66ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-06-11T18:24:11Z","title_canon_sha256":"4201d167260dc5253e5363d05ba6bc25c683fa936cf9f3b59718ce3a55fd5a51"},"schema_version":"1.0","source":{"id":"2506.10092","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.10092","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"arxiv_version","alias_value":"2506.10092v2","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.10092","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"pith_short_12","alias_value":"GO4XRIFHP3BD","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"pith_short_16","alias_value":"GO4XRIFHP3BDNEAX","created_at":"2026-07-05T12:04:36Z"},{"alias_kind":"pith_short_8","alias_value":"GO4XRIFH","created_at":"2026-07-05T12:04:36Z"}],"graph_snapshots":[{"event_id":"sha256:b73d1900b5203bd91e5d432694dceac803d6e9b9082406904ac5a252109f193a","target":"graph","created_at":"2026-07-05T12:04:36Z","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/2506.10092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"GPUs are uniquely suited to accelerate (SQL) analytics workloads thanks to their massive compute parallelism and High Bandwidth Memory (HBM) -- when datasets fit in the GPU HBM, performance is unparalleled. Unfortunately, GPU HBMs remain typically small when compared with lower-bandwidth CPU main memory. Besides brute-force scaling across many GPUs, current solutions to accelerate queries on large datasets include leveraging data partitioning and loading smaller data batches in GPU HBM, and hybrid execution with a connected device (e.g., CPUs). Unfortunately, these approaches are exposed to th","authors_text":"Carlo Curino, Hans Lehnert, Krystian Sakowski, Marius Dumitru, Matteo Interlandi, Rathijit Sen, Wei Cui, Zezhou Huang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-06-11T18:24:11Z","title":"GPU Acceleration of SQL Analytics on Compressed Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.10092","kind":"arxiv","version":2},"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":"sha256:97dc83e0959e348af5ac798ddba98258cdf1a8814613e2cbe7e9432d33b4a519","target":"record","created_at":"2026-07-05T12:04:36Z","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":"c5c126a9ef62997f5db67bbe6da393bab2df110c74c7a1021885544dbf8f66ba","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2025-06-11T18:24:11Z","title_canon_sha256":"4201d167260dc5253e5363d05ba6bc25c683fa936cf9f3b59718ce3a55fd5a51"},"schema_version":"1.0","source":{"id":"2506.10092","kind":"arxiv","version":2}},"canonical_sha256":"33b978a0a77ec23690178d8b9b30525297ccfe3f8ef60e7ff1813b02fffb927b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"33b978a0a77ec23690178d8b9b30525297ccfe3f8ef60e7ff1813b02fffb927b","first_computed_at":"2026-07-05T12:04:36.364759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:04:36.364759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wXbjL8AwYIhD2Hfu/T3TSmkDrZ9LQbNnCIa8oWYl47VOzvzsFlXx12MKftebVXxLkGMjkDfqlUazTLhRYQHXDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:04:36.365263Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.10092","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:97dc83e0959e348af5ac798ddba98258cdf1a8814613e2cbe7e9432d33b4a519","sha256:b73d1900b5203bd91e5d432694dceac803d6e9b9082406904ac5a252109f193a"],"state_sha256":"5baa2ba93e9bf13f3529a699d566234240725124c8e8dcbb50d7d7d3576b88a5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TvkNtLPUh8taeEf8ZGYGJJtLN+TcXF3tXCg70KU/N8Ko0oEqybm6U65xPqCLyLUk8WTjGsR3/hDXm9ptpGSVCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T12:45:31.995738Z","bundle_sha256":"b4642985a3d5eadf105d3cc53194b25551228a20c58b0e1fe1d7fcf2ae38ce0d"}}