{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:OIGJECWSRS3WQNOI6C5RZVFBNK","short_pith_number":"pith:OIGJECWS","schema_version":"1.0","canonical_sha256":"720c920ad28cb76835c8f0bb1cd4a16aa649ef19769f07c0ff7d816bf67ab115","source":{"kind":"arxiv","id":"2608.13268","version":1},"attestation_state":"computed","paper":{"title":"Multiobjective Preexpectation Reasoning for Probabilistic Programs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LO"],"primary_cat":"cs.PL","authors_text":"Benjamin Lucien Kaminski, Hannah Mertens, Joost-Pieter Katoen, Kevin Batz, Lena Verscht, Sebastian Junges","submitted_at":"2026-08-13T14:06:58Z","abstract_excerpt":"Probabilistic programs with nondeterminism model planning problems in which a strategy resolves the nondeterminism to optimize an expected outcome. We study the multiobjective setting, optimizing several outcomes at once along a Pareto front, and provide a deductive, program-level account of strategy synthesis. Its core is a multiobjective preexpectation transformer mapping a tuple of postexpectations to the set of simultaneously achievable values, an element of the convex Hoare powerdomain. It conservatively extends weakest preexpectations and lifts standard loop rules. We develop rules to sy"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.13268","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.PL","submitted_at":"2026-08-13T14:06:58Z","cross_cats_sorted":["cs.LO"],"title_canon_sha256":"81a4e25d92e644384e4fb69280f3a76b673366882095c6f012338a416332de21","abstract_canon_sha256":"b18b20e825c6bef5f09847fb2491d778374dc1e4e87b59f93e793fad0515c552"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-14T01:00:49.272182Z","signature_b64":"MkwfuIk9C96tfB61UTFru6LNKScO6zrWSSZrbnctxmkCKFT9Xx1hAsjpYd+mP/b1HCHJQKMx1sIJJzyxFoPDBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"720c920ad28cb76835c8f0bb1cd4a16aa649ef19769f07c0ff7d816bf67ab115","last_reissued_at":"2026-08-14T01:00:49.269935Z","signature_status":"signed_v1","first_computed_at":"2026-08-14T01:00:49.269935Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multiobjective Preexpectation Reasoning for Probabilistic Programs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LO"],"primary_cat":"cs.PL","authors_text":"Benjamin Lucien Kaminski, Hannah Mertens, Joost-Pieter Katoen, Kevin Batz, Lena Verscht, Sebastian Junges","submitted_at":"2026-08-13T14:06:58Z","abstract_excerpt":"Probabilistic programs with nondeterminism model planning problems in which a strategy resolves the nondeterminism to optimize an expected outcome. We study the multiobjective setting, optimizing several outcomes at once along a Pareto front, and provide a deductive, program-level account of strategy synthesis. Its core is a multiobjective preexpectation transformer mapping a tuple of postexpectations to the set of simultaneously achievable values, an element of the convex Hoare powerdomain. It conservatively extends weakest preexpectations and lifts standard loop rules. We develop rules to sy"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.13268","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/2608.13268/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.13268","created_at":"2026-08-14T01:00:49.271013+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.13268v1","created_at":"2026-08-14T01:00:49.271013+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.13268","created_at":"2026-08-14T01:00:49.271013+00:00"},{"alias_kind":"pith_short_12","alias_value":"OIGJECWSRS3W","created_at":"2026-08-14T01:00:49.271013+00:00"},{"alias_kind":"pith_short_16","alias_value":"OIGJECWSRS3WQNOI","created_at":"2026-08-14T01:00:49.271013+00:00"},{"alias_kind":"pith_short_8","alias_value":"OIGJECWS","created_at":"2026-08-14T01:00:49.271013+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK","json":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK.json","graph_json":"https://pith.science/api/pith-number/OIGJECWSRS3WQNOI6C5RZVFBNK/graph.json","events_json":"https://pith.science/api/pith-number/OIGJECWSRS3WQNOI6C5RZVFBNK/events.json","paper":"https://pith.science/paper/OIGJECWS"},"agent_actions":{"view_html":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK","download_json":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK.json","view_paper":"https://pith.science/paper/OIGJECWS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.13268&json=true","fetch_graph":"https://pith.science/api/pith-number/OIGJECWSRS3WQNOI6C5RZVFBNK/graph.json","fetch_events":"https://pith.science/api/pith-number/OIGJECWSRS3WQNOI6C5RZVFBNK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK/action/storage_attestation","attest_author":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK/action/author_attestation","sign_citation":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK/action/citation_signature","submit_replication":"https://pith.science/pith/OIGJECWSRS3WQNOI6C5RZVFBNK/action/replication_record"}},"created_at":"2026-08-14T01:00:49.271013+00:00","updated_at":"2026-08-14T01:00:49.271013+00:00"}