{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VY5AQLTOYWZBI7GZD4L4XGVHPB","short_pith_number":"pith:VY5AQLTO","canonical_record":{"source":{"id":"2404.11581","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-17T17:28:05Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"9619d3ba45261ff988e6f3d6a72dc491d21cd2caa6bd9266777da8e9c0ae399e","abstract_canon_sha256":"13fcdd75dd5b4ded1f00cb440455a87bfd86c69de59c538ca664a32c7077c534"},"schema_version":"1.0"},"canonical_sha256":"ae3a082e6ec5b2147cd91f17cb9aa7785120a468d7ee330b21a34ee0f8d90b19","source":{"kind":"arxiv","id":"2404.11581","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.11581","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"arxiv_version","alias_value":"2404.11581v3","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11581","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"pith_short_12","alias_value":"VY5AQLTOYWZB","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"pith_short_16","alias_value":"VY5AQLTOYWZBI7GZ","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"pith_short_8","alias_value":"VY5AQLTO","created_at":"2026-07-05T10:34:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VY5AQLTOYWZBI7GZD4L4XGVHPB","target":"record","payload":{"canonical_record":{"source":{"id":"2404.11581","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-17T17:28:05Z","cross_cats_sorted":["cs.DB"],"title_canon_sha256":"9619d3ba45261ff988e6f3d6a72dc491d21cd2caa6bd9266777da8e9c0ae399e","abstract_canon_sha256":"13fcdd75dd5b4ded1f00cb440455a87bfd86c69de59c538ca664a32c7077c534"},"schema_version":"1.0"},"canonical_sha256":"ae3a082e6ec5b2147cd91f17cb9aa7785120a468d7ee330b21a34ee0f8d90b19","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:34:07.395103Z","signature_b64":"hnKjAQWb3bV5nm/mO6hRXzla9E34TLwprdx3nadzOvIjhDF0CDslv9sf44pdfLAC0mwNzJz/qSkszf1MWp/zCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae3a082e6ec5b2147cd91f17cb9aa7785120a468d7ee330b21a34ee0f8d90b19","last_reissued_at":"2026-07-05T10:34:07.394178Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:34:07.394178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.11581","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:34:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"41h2SUE6gVRy9jxRpq1xVQg/wHyAZbyejKITI6TTfMY52MTUm4lRsEjTgQaiTIalEYOGZ7E85bhJwf/s75LpBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T20:35:38.682567Z"},"content_sha256":"c82bd0964e5e6bf3e3fddbab99d184cc7b364066f4c888846726cab385d39ec9","schema_version":"1.0","event_id":"sha256:c82bd0964e5e6bf3e3fddbab99d184cc7b364066f4c888846726cab385d39ec9"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VY5AQLTOYWZBI7GZD4L4XGVHPB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.DB"],"primary_cat":"cs.AI","authors_text":"Cuiping Li, Haoyang Li, Hong Chen, Jianjun Chen, Jing Zhang, Tieying Zhang, Xinmei Huang, Xinxin Zhao, Yiyan Li, Zhiming Yao","submitted_at":"2024-04-17T17:28:05Z","abstract_excerpt":"Database knob tuning is a significant challenge for database administrators, as it involves tuning a large number of configuration knobs with continuous or discrete values to achieve optimal database performance. Traditional methods, such as manual tuning or learning-based approaches, typically require numerous workload replays and are both time-consuming and resource-intensive. To address this challenge, we introduce E2ETune, an end-to-end knob tuner powered by a fine-tuned generative language model. The key idea is to leverage the exceptional sequence-to-sequence modeling capabilities of gen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11581","kind":"arxiv","version":3},"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/2404.11581/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":"2026-07-05T10:34:07Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dHWhWdCGb8p2HOq4IruoQE3RdW48iR+Il/UWvhn+9IDI366Y/xX9duCm2tNl6tWN7KhhWOwlhDheUwx3328rBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T20:35:38.683109Z"},"content_sha256":"38671aacbd3af528482b151cba4ffcde54da3a48e88d63538b1285bacc3bb08f","schema_version":"1.0","event_id":"sha256:38671aacbd3af528482b151cba4ffcde54da3a48e88d63538b1285bacc3bb08f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VY5AQLTOYWZBI7GZD4L4XGVHPB/bundle.json","state_url":"https://pith.science/pith/VY5AQLTOYWZBI7GZD4L4XGVHPB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VY5AQLTOYWZBI7GZD4L4XGVHPB/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":"2026-08-18T20:35:38Z","links":{"resolver":"https://pith.science/pith/VY5AQLTOYWZBI7GZD4L4XGVHPB","bundle":"https://pith.science/pith/VY5AQLTOYWZBI7GZD4L4XGVHPB/bundle.json","state":"https://pith.science/pith/VY5AQLTOYWZBI7GZD4L4XGVHPB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VY5AQLTOYWZBI7GZD4L4XGVHPB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VY5AQLTOYWZBI7GZD4L4XGVHPB","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":"13fcdd75dd5b4ded1f00cb440455a87bfd86c69de59c538ca664a32c7077c534","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-17T17:28:05Z","title_canon_sha256":"9619d3ba45261ff988e6f3d6a72dc491d21cd2caa6bd9266777da8e9c0ae399e"},"schema_version":"1.0","source":{"id":"2404.11581","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.11581","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"arxiv_version","alias_value":"2404.11581v3","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.11581","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"pith_short_12","alias_value":"VY5AQLTOYWZB","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"pith_short_16","alias_value":"VY5AQLTOYWZBI7GZ","created_at":"2026-07-05T10:34:07Z"},{"alias_kind":"pith_short_8","alias_value":"VY5AQLTO","created_at":"2026-07-05T10:34:07Z"}],"graph_snapshots":[{"event_id":"sha256:38671aacbd3af528482b151cba4ffcde54da3a48e88d63538b1285bacc3bb08f","target":"graph","created_at":"2026-07-05T10:34:07Z","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/2404.11581/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Database knob tuning is a significant challenge for database administrators, as it involves tuning a large number of configuration knobs with continuous or discrete values to achieve optimal database performance. Traditional methods, such as manual tuning or learning-based approaches, typically require numerous workload replays and are both time-consuming and resource-intensive. To address this challenge, we introduce E2ETune, an end-to-end knob tuner powered by a fine-tuned generative language model. The key idea is to leverage the exceptional sequence-to-sequence modeling capabilities of gen","authors_text":"Cuiping Li, Haoyang Li, Hong Chen, Jianjun Chen, Jing Zhang, Tieying Zhang, Xinmei Huang, Xinxin Zhao, Yiyan Li, Zhiming Yao","cross_cats":["cs.DB"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-17T17:28:05Z","title":"E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.11581","kind":"arxiv","version":3},"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:c82bd0964e5e6bf3e3fddbab99d184cc7b364066f4c888846726cab385d39ec9","target":"record","created_at":"2026-07-05T10:34:07Z","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":"13fcdd75dd5b4ded1f00cb440455a87bfd86c69de59c538ca664a32c7077c534","cross_cats_sorted":["cs.DB"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2024-04-17T17:28:05Z","title_canon_sha256":"9619d3ba45261ff988e6f3d6a72dc491d21cd2caa6bd9266777da8e9c0ae399e"},"schema_version":"1.0","source":{"id":"2404.11581","kind":"arxiv","version":3}},"canonical_sha256":"ae3a082e6ec5b2147cd91f17cb9aa7785120a468d7ee330b21a34ee0f8d90b19","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae3a082e6ec5b2147cd91f17cb9aa7785120a468d7ee330b21a34ee0f8d90b19","first_computed_at":"2026-07-05T10:34:07.394178Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:34:07.394178Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hnKjAQWb3bV5nm/mO6hRXzla9E34TLwprdx3nadzOvIjhDF0CDslv9sf44pdfLAC0mwNzJz/qSkszf1MWp/zCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:34:07.395103Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.11581","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c82bd0964e5e6bf3e3fddbab99d184cc7b364066f4c888846726cab385d39ec9","sha256:38671aacbd3af528482b151cba4ffcde54da3a48e88d63538b1285bacc3bb08f"],"state_sha256":"b6966e1ed29be57bf0ac281218a2cd2a7e2c7bbcbb3e9f310d5b4fb21ce3e381"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q/RJiLfCEiKZ9H88RqY2zJRwXN129xNP0RpVhbaMh04PAR4U0ihUmOd4uyZVwnuBUcbq86nJNinp82M/7YAGBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T20:35:38.689340Z","bundle_sha256":"b8663240615c7abae86951ced82a2f1bcfde0364753fafd06bf2733c095c918c"}}