{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VY32MK2MQLRFEYSYUV4FQ44RM4","short_pith_number":"pith:VY32MK2M","canonical_record":{"source":{"id":"2504.19039","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LO","submitted_at":"2025-04-26T22:14:55Z","cross_cats_sorted":[],"title_canon_sha256":"0a3e09ea8a6d10c20a491fc10f2c229bda55ad47423ac2af70a7153961c58e2a","abstract_canon_sha256":"ad74da9a2d84d79e06ab5c15a275c26f3425cf1b16196b9886334675c58e05ae"},"schema_version":"1.0"},"canonical_sha256":"ae37a62b4c82e2526258a578587391670dc5fc2c431690641a4f49091115fb2e","source":{"kind":"arxiv","id":"2504.19039","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19039","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19039v3","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19039","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"pith_short_12","alias_value":"VY32MK2MQLRF","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"pith_short_16","alias_value":"VY32MK2MQLRFEYSY","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"pith_short_8","alias_value":"VY32MK2M","created_at":"2026-07-05T11:01:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VY32MK2MQLRFEYSYUV4FQ44RM4","target":"record","payload":{"canonical_record":{"source":{"id":"2504.19039","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LO","submitted_at":"2025-04-26T22:14:55Z","cross_cats_sorted":[],"title_canon_sha256":"0a3e09ea8a6d10c20a491fc10f2c229bda55ad47423ac2af70a7153961c58e2a","abstract_canon_sha256":"ad74da9a2d84d79e06ab5c15a275c26f3425cf1b16196b9886334675c58e05ae"},"schema_version":"1.0"},"canonical_sha256":"ae37a62b4c82e2526258a578587391670dc5fc2c431690641a4f49091115fb2e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:01:57.222836Z","signature_b64":"tzJ7ndpgV1QBmepBvkUJXdtd+UmFEUi9GCckdfVV9EIdqdxhcF4EI5CXIgV6H1Tn9WSv0Fcchffu2wiHtXVNCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ae37a62b4c82e2526258a578587391670dc5fc2c431690641a4f49091115fb2e","last_reissued_at":"2026-07-05T11:01:57.222366Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:01:57.222366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.19039","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":"2026-07-05T11:01:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CJSpDx+gd1TmXnGo+PdNmhtldZtPTSDaMGyRlGL82pldiGiAbskW7KS0vQ6cDkkTFG423bAWAfLtlabczv9AAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:58:05.790778Z"},"content_sha256":"054abf24559f88962d13175fe79f7096b4b49f1581a7edc8c10a1a4b33535f09","schema_version":"1.0","event_id":"sha256:054abf24559f88962d13175fe79f7096b4b49f1581a7edc8c10a1a4b33535f09"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VY32MK2MQLRFEYSYUV4FQ44RM4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Cubing for Tuning","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LO","authors_text":"Clark Barrett, Haoze Wu, Nina Narodytska","submitted_at":"2025-04-26T22:14:55Z","abstract_excerpt":"We are exploring the problem of building an automated reasoning procedure that adaptively tunes the high-level solving strategy for a given problem. There are two main distinctive characteristics of our approach: tuning is performed solely online, unlike the common use of tuning as an offline process; and tuning data comes exclusively from the given instance, so we do not rely on the availability of similar benchmarks and can work with unique challenging instances. Our approach builds on top of the divide-and-conquer paradigm that naturally serves partitioned sub-problems for an automated tuni"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19039","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/2504.19039/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":"2026-07-05T11:01:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/XDFfet67Kt2wwtQpZsCAWKINFbhHpndNtW07Q+oEvoAmerI4zV3ue0hT8XFh44iHQZzRMZAV0Djd7tMV9d+Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T15:58:05.791423Z"},"content_sha256":"4a3aa505d3d0bae2bfde2f89f87dc1eb51f7ee97c80d5480451709abf6a2711b","schema_version":"1.0","event_id":"sha256:4a3aa505d3d0bae2bfde2f89f87dc1eb51f7ee97c80d5480451709abf6a2711b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VY32MK2MQLRFEYSYUV4FQ44RM4/bundle.json","state_url":"https://pith.science/pith/VY32MK2MQLRFEYSYUV4FQ44RM4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VY32MK2MQLRFEYSYUV4FQ44RM4/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":"2026-07-05T15:58:05Z","links":{"resolver":"https://pith.science/pith/VY32MK2MQLRFEYSYUV4FQ44RM4","bundle":"https://pith.science/pith/VY32MK2MQLRFEYSYUV4FQ44RM4/bundle.json","state":"https://pith.science/pith/VY32MK2MQLRFEYSYUV4FQ44RM4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VY32MK2MQLRFEYSYUV4FQ44RM4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VY32MK2MQLRFEYSYUV4FQ44RM4","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":"ad74da9a2d84d79e06ab5c15a275c26f3425cf1b16196b9886334675c58e05ae","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LO","submitted_at":"2025-04-26T22:14:55Z","title_canon_sha256":"0a3e09ea8a6d10c20a491fc10f2c229bda55ad47423ac2af70a7153961c58e2a"},"schema_version":"1.0","source":{"id":"2504.19039","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19039","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19039v3","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19039","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"pith_short_12","alias_value":"VY32MK2MQLRF","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"pith_short_16","alias_value":"VY32MK2MQLRFEYSY","created_at":"2026-07-05T11:01:57Z"},{"alias_kind":"pith_short_8","alias_value":"VY32MK2M","created_at":"2026-07-05T11:01:57Z"}],"graph_snapshots":[{"event_id":"sha256:4a3aa505d3d0bae2bfde2f89f87dc1eb51f7ee97c80d5480451709abf6a2711b","target":"graph","created_at":"2026-07-05T11:01:57Z","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/2504.19039/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We are exploring the problem of building an automated reasoning procedure that adaptively tunes the high-level solving strategy for a given problem. There are two main distinctive characteristics of our approach: tuning is performed solely online, unlike the common use of tuning as an offline process; and tuning data comes exclusively from the given instance, so we do not rely on the availability of similar benchmarks and can work with unique challenging instances. Our approach builds on top of the divide-and-conquer paradigm that naturally serves partitioned sub-problems for an automated tuni","authors_text":"Clark Barrett, Haoze Wu, Nina Narodytska","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LO","submitted_at":"2025-04-26T22:14:55Z","title":"Cubing for Tuning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19039","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":"sha256:054abf24559f88962d13175fe79f7096b4b49f1581a7edc8c10a1a4b33535f09","target":"record","created_at":"2026-07-05T11:01:57Z","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":"ad74da9a2d84d79e06ab5c15a275c26f3425cf1b16196b9886334675c58e05ae","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LO","submitted_at":"2025-04-26T22:14:55Z","title_canon_sha256":"0a3e09ea8a6d10c20a491fc10f2c229bda55ad47423ac2af70a7153961c58e2a"},"schema_version":"1.0","source":{"id":"2504.19039","kind":"arxiv","version":3}},"canonical_sha256":"ae37a62b4c82e2526258a578587391670dc5fc2c431690641a4f49091115fb2e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae37a62b4c82e2526258a578587391670dc5fc2c431690641a4f49091115fb2e","first_computed_at":"2026-07-05T11:01:57.222366Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:01:57.222366Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tzJ7ndpgV1QBmepBvkUJXdtd+UmFEUi9GCckdfVV9EIdqdxhcF4EI5CXIgV6H1Tn9WSv0Fcchffu2wiHtXVNCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:01:57.222836Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.19039","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:054abf24559f88962d13175fe79f7096b4b49f1581a7edc8c10a1a4b33535f09","sha256:4a3aa505d3d0bae2bfde2f89f87dc1eb51f7ee97c80d5480451709abf6a2711b"],"state_sha256":"06a0b39333c6eb92604705bf906ad82f99c34775b38b4628d80a53b1bd331140"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SkiG3mmtDGYRQOmrSDgcnRbm2iY2Q0lTk+NgxNVc6lgsxGbyu+Sizp756w5wIFhRGyZkTNuYy9BTvcKVoK3HCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T15:58:05.794921Z","bundle_sha256":"59e482dff746b84298c529fa8a509cc9f81f1373f715dce673a26c53b13cf496"}}