{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:KSX4XOIGVL65PW6VP3U3E6HK2N","short_pith_number":"pith:KSX4XOIG","canonical_record":{"source":{"id":"2305.14391","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-05-22T22:38:29Z","cross_cats_sorted":[],"title_canon_sha256":"a4641912cda9067d906b75ec1013f05249c371a90a656b1b9d221bfb81a92c4f","abstract_canon_sha256":"bf1ca33f006a910c325f753617f53ddabdbe1851796549e963f8a57b8b835277"},"schema_version":"1.0"},"canonical_sha256":"54afcbb906aafdd7dbd57ee9b278ead346c600898433b8ef82c4866f665250dc","source":{"kind":"arxiv","id":"2305.14391","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14391","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14391v1","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14391","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"pith_short_12","alias_value":"KSX4XOIGVL65","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"pith_short_16","alias_value":"KSX4XOIGVL65PW6V","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"pith_short_8","alias_value":"KSX4XOIG","created_at":"2026-07-05T06:13:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:KSX4XOIGVL65PW6VP3U3E6HK2N","target":"record","payload":{"canonical_record":{"source":{"id":"2305.14391","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-05-22T22:38:29Z","cross_cats_sorted":[],"title_canon_sha256":"a4641912cda9067d906b75ec1013f05249c371a90a656b1b9d221bfb81a92c4f","abstract_canon_sha256":"bf1ca33f006a910c325f753617f53ddabdbe1851796549e963f8a57b8b835277"},"schema_version":"1.0"},"canonical_sha256":"54afcbb906aafdd7dbd57ee9b278ead346c600898433b8ef82c4866f665250dc","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:13:22.799425Z","signature_b64":"szZy2ZJA+OqKBkUQBwgORbQEWU4HAP2PyEs2YNavpbM3E1wDlohiysJe6x5imZm+WoRO8AHBm5Fd11+Ui2CXDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"54afcbb906aafdd7dbd57ee9b278ead346c600898433b8ef82c4866f665250dc","last_reissued_at":"2026-07-05T06:13:22.798956Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:13:22.798956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.14391","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":"2026-07-05T06:13:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X13O7d5QzEi86rZ0RaqXqSc6Ul6LPpJAwCV+RyJPA8UxCXQJD3t9o9rnRCQEMIlUYyPN79Cn2PvQrC2FApmIDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T08:26:33.909462Z"},"content_sha256":"c60934c9078213604db17ab3883129d6c8c2da59a059790764d51b1d8a870b76","schema_version":"1.0","event_id":"sha256:c60934c9078213604db17ab3883129d6c8c2da59a059790764d51b1d8a870b76"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:KSX4XOIGVL65PW6VP3U3E6HK2N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"An Optimized Tri-store System for Multi-model Data Analytics","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.DB","authors_text":"Amarnath Gupta, Arun Kumar, Subhasis Dasgupta, Xiuwen Zheng","submitted_at":"2023-05-22T22:38:29Z","abstract_excerpt":"Data science applications increasingly rely on heterogeneous data sources and analytics. This has led to growing interest in polystore systems, especially analytical polystores. In this work, we focus on a class of emerging multi-data model analytics workloads that fluidly straddle relational, graph, and text analytics. Instead of a generic polystore, we build a ``tri-store'' system that is more aware of the underlying data models to better optimize execution to improve scalability and runtime efficiency. We name our system AWESOME (Analytics WorkbEnch for SOcial MEdia). It features a powerful"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14391","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/2305.14391/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":"2026-07-05T06:13:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"omZD11bFWp+zgAGxdv3tFkk10OqMkrvy2LbvhhuQrqXzuRRQcf1P/bTfugHizKQkUQqW3HkLSNU6t6emIDaBBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T08:26:33.909999Z"},"content_sha256":"0f267b2bcbf70504fddb851d526c91bf14d5022baa01d4ddbb7df560048e8e8b","schema_version":"1.0","event_id":"sha256:0f267b2bcbf70504fddb851d526c91bf14d5022baa01d4ddbb7df560048e8e8b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/KSX4XOIGVL65PW6VP3U3E6HK2N/bundle.json","state_url":"https://pith.science/pith/KSX4XOIGVL65PW6VP3U3E6HK2N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/KSX4XOIGVL65PW6VP3U3E6HK2N/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":"2026-08-16T08:26:33Z","links":{"resolver":"https://pith.science/pith/KSX4XOIGVL65PW6VP3U3E6HK2N","bundle":"https://pith.science/pith/KSX4XOIGVL65PW6VP3U3E6HK2N/bundle.json","state":"https://pith.science/pith/KSX4XOIGVL65PW6VP3U3E6HK2N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/KSX4XOIGVL65PW6VP3U3E6HK2N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:KSX4XOIGVL65PW6VP3U3E6HK2N","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":"bf1ca33f006a910c325f753617f53ddabdbe1851796549e963f8a57b8b835277","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-05-22T22:38:29Z","title_canon_sha256":"a4641912cda9067d906b75ec1013f05249c371a90a656b1b9d221bfb81a92c4f"},"schema_version":"1.0","source":{"id":"2305.14391","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.14391","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"arxiv_version","alias_value":"2305.14391v1","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.14391","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"pith_short_12","alias_value":"KSX4XOIGVL65","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"pith_short_16","alias_value":"KSX4XOIGVL65PW6V","created_at":"2026-07-05T06:13:22Z"},{"alias_kind":"pith_short_8","alias_value":"KSX4XOIG","created_at":"2026-07-05T06:13:22Z"}],"graph_snapshots":[{"event_id":"sha256:0f267b2bcbf70504fddb851d526c91bf14d5022baa01d4ddbb7df560048e8e8b","target":"graph","created_at":"2026-07-05T06:13:22Z","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/2305.14391/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Data science applications increasingly rely on heterogeneous data sources and analytics. This has led to growing interest in polystore systems, especially analytical polystores. In this work, we focus on a class of emerging multi-data model analytics workloads that fluidly straddle relational, graph, and text analytics. Instead of a generic polystore, we build a ``tri-store'' system that is more aware of the underlying data models to better optimize execution to improve scalability and runtime efficiency. We name our system AWESOME (Analytics WorkbEnch for SOcial MEdia). It features a powerful","authors_text":"Amarnath Gupta, Arun Kumar, Subhasis Dasgupta, Xiuwen Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-05-22T22:38:29Z","title":"An Optimized Tri-store System for Multi-model Data Analytics"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.14391","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:c60934c9078213604db17ab3883129d6c8c2da59a059790764d51b1d8a870b76","target":"record","created_at":"2026-07-05T06:13:22Z","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":"bf1ca33f006a910c325f753617f53ddabdbe1851796549e963f8a57b8b835277","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.DB","submitted_at":"2023-05-22T22:38:29Z","title_canon_sha256":"a4641912cda9067d906b75ec1013f05249c371a90a656b1b9d221bfb81a92c4f"},"schema_version":"1.0","source":{"id":"2305.14391","kind":"arxiv","version":1}},"canonical_sha256":"54afcbb906aafdd7dbd57ee9b278ead346c600898433b8ef82c4866f665250dc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"54afcbb906aafdd7dbd57ee9b278ead346c600898433b8ef82c4866f665250dc","first_computed_at":"2026-07-05T06:13:22.798956Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:13:22.798956Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"szZy2ZJA+OqKBkUQBwgORbQEWU4HAP2PyEs2YNavpbM3E1wDlohiysJe6x5imZm+WoRO8AHBm5Fd11+Ui2CXDg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:13:22.799425Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.14391","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c60934c9078213604db17ab3883129d6c8c2da59a059790764d51b1d8a870b76","sha256:0f267b2bcbf70504fddb851d526c91bf14d5022baa01d4ddbb7df560048e8e8b"],"state_sha256":"2233c576828159f1dbe95a54a7166fabe63523b30ddba3e8b1fd0ccbf063a948"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0M0s9YQMknDHGmxvWI/QICG+0cJvTWw8I71uEXlWZ3KgAVCpth16wBoofZLQrBLQZ4XN19yrROZ//VU8s7Z8DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T08:26:33.914400Z","bundle_sha256":"6a84f05f6a4f655daaba28aabb428e42f0f32624a1e7e321c860dda920414706"}}