{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:ICO3OJFPYB2JSDF2SA5ALPNDVI","short_pith_number":"pith:ICO3OJFP","canonical_record":{"source":{"id":"2202.08450","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-17T05:33:27Z","cross_cats_sorted":[],"title_canon_sha256":"6b280c1db3db86637d838d99efe2bc2fbde76122a8057a0fa0964e4cd42e12a7","abstract_canon_sha256":"1938eeb88cfe8b922986e6706d7fc3fd241c8f56df6e07835420ae2101a18552"},"schema_version":"1.0"},"canonical_sha256":"409db724afc074990cba903a05bda3aa0fe2ee66b3142c4a713f14cbd4ea5f81","source":{"kind":"arxiv","id":"2202.08450","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08450","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08450v1","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08450","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_12","alias_value":"ICO3OJFPYB2J","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_16","alias_value":"ICO3OJFPYB2JSDF2","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_8","alias_value":"ICO3OJFP","created_at":"2026-07-05T03:57:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:ICO3OJFPYB2JSDF2SA5ALPNDVI","target":"record","payload":{"canonical_record":{"source":{"id":"2202.08450","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-17T05:33:27Z","cross_cats_sorted":[],"title_canon_sha256":"6b280c1db3db86637d838d99efe2bc2fbde76122a8057a0fa0964e4cd42e12a7","abstract_canon_sha256":"1938eeb88cfe8b922986e6706d7fc3fd241c8f56df6e07835420ae2101a18552"},"schema_version":"1.0"},"canonical_sha256":"409db724afc074990cba903a05bda3aa0fe2ee66b3142c4a713f14cbd4ea5f81","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:57:45.933235Z","signature_b64":"7JU0qRGGXTcS70hAzFnncxGuwTokjHssIj8LktAWPWNc1B1LRg3hG+Zd+866vCijZ3xgRbdiR7g78COU4BxMAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"409db724afc074990cba903a05bda3aa0fe2ee66b3142c4a713f14cbd4ea5f81","last_reissued_at":"2026-07-05T03:57:45.932762Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:57:45.932762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.08450","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":"2026-07-05T03:57:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5xG6YlDkxaWbkpdbRJincAMqCb7suqKIDtzx7yVwOlOhg3K7YNxaAH28o399P5V2JzAyFRkvWxgQCVhTeGVFAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:46:34.525028Z"},"content_sha256":"656b02bd2ffc665a0b5861f447e9c33efa38fa55dcdb8aa4f396e9f6a085515d","schema_version":"1.0","event_id":"sha256:656b02bd2ffc665a0b5861f447e9c33efa38fa55dcdb8aa4f396e9f6a085515d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:ICO3OJFPYB2JSDF2SA5ALPNDVI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Aviral Kumar, Brandon Trabucco, Sergey Levine, Xinyang Geng","submitted_at":"2022-02-17T05:33:27Z","abstract_excerpt":"Black-box model-based optimization (MBO) problems, where the goal is to find a design input that maximizes an unknown objective function, are ubiquitous in a wide range of domains, such as the design of proteins, DNA sequences, aircraft, and robots. Solving model-based optimization problems typically requires actively querying the unknown objective function on design proposals, which means physically building the candidate molecule, aircraft, or robot, testing it, and storing the result. This process can be expensive and time consuming, and one might instead prefer to optimize for the best des"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08450","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/2202.08450/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":"2026-07-05T03:57:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Ymop2QGlRpx0r7SIfjWAuM0E9mKSvwPCMkjDfD5RVqWiSlZfNtZZEOwnWauIxA/TawnqpQo8YcgtesgNgrmDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T14:46:34.525915Z"},"content_sha256":"a0157e0d9f3f44a6724fe2e8aabda0764a6d8135c28b11049575329baaa20af9","schema_version":"1.0","event_id":"sha256:a0157e0d9f3f44a6724fe2e8aabda0764a6d8135c28b11049575329baaa20af9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ICO3OJFPYB2JSDF2SA5ALPNDVI/bundle.json","state_url":"https://pith.science/pith/ICO3OJFPYB2JSDF2SA5ALPNDVI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ICO3OJFPYB2JSDF2SA5ALPNDVI/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":"2026-08-09T14:46:34Z","links":{"resolver":"https://pith.science/pith/ICO3OJFPYB2JSDF2SA5ALPNDVI","bundle":"https://pith.science/pith/ICO3OJFPYB2JSDF2SA5ALPNDVI/bundle.json","state":"https://pith.science/pith/ICO3OJFPYB2JSDF2SA5ALPNDVI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ICO3OJFPYB2JSDF2SA5ALPNDVI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:ICO3OJFPYB2JSDF2SA5ALPNDVI","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":"1938eeb88cfe8b922986e6706d7fc3fd241c8f56df6e07835420ae2101a18552","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-17T05:33:27Z","title_canon_sha256":"6b280c1db3db86637d838d99efe2bc2fbde76122a8057a0fa0964e4cd42e12a7"},"schema_version":"1.0","source":{"id":"2202.08450","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.08450","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"arxiv_version","alias_value":"2202.08450v1","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.08450","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_12","alias_value":"ICO3OJFPYB2J","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_16","alias_value":"ICO3OJFPYB2JSDF2","created_at":"2026-07-05T03:57:45Z"},{"alias_kind":"pith_short_8","alias_value":"ICO3OJFP","created_at":"2026-07-05T03:57:45Z"}],"graph_snapshots":[{"event_id":"sha256:a0157e0d9f3f44a6724fe2e8aabda0764a6d8135c28b11049575329baaa20af9","target":"graph","created_at":"2026-07-05T03:57:45Z","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/2202.08450/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Black-box model-based optimization (MBO) problems, where the goal is to find a design input that maximizes an unknown objective function, are ubiquitous in a wide range of domains, such as the design of proteins, DNA sequences, aircraft, and robots. Solving model-based optimization problems typically requires actively querying the unknown objective function on design proposals, which means physically building the candidate molecule, aircraft, or robot, testing it, and storing the result. This process can be expensive and time consuming, and one might instead prefer to optimize for the best des","authors_text":"Aviral Kumar, Brandon Trabucco, Sergey Levine, Xinyang Geng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-17T05:33:27Z","title":"Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.08450","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":"sha256:656b02bd2ffc665a0b5861f447e9c33efa38fa55dcdb8aa4f396e9f6a085515d","target":"record","created_at":"2026-07-05T03:57:45Z","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":"1938eeb88cfe8b922986e6706d7fc3fd241c8f56df6e07835420ae2101a18552","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-02-17T05:33:27Z","title_canon_sha256":"6b280c1db3db86637d838d99efe2bc2fbde76122a8057a0fa0964e4cd42e12a7"},"schema_version":"1.0","source":{"id":"2202.08450","kind":"arxiv","version":1}},"canonical_sha256":"409db724afc074990cba903a05bda3aa0fe2ee66b3142c4a713f14cbd4ea5f81","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"409db724afc074990cba903a05bda3aa0fe2ee66b3142c4a713f14cbd4ea5f81","first_computed_at":"2026-07-05T03:57:45.932762Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:57:45.932762Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7JU0qRGGXTcS70hAzFnncxGuwTokjHssIj8LktAWPWNc1B1LRg3hG+Zd+866vCijZ3xgRbdiR7g78COU4BxMAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:57:45.933235Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.08450","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:656b02bd2ffc665a0b5861f447e9c33efa38fa55dcdb8aa4f396e9f6a085515d","sha256:a0157e0d9f3f44a6724fe2e8aabda0764a6d8135c28b11049575329baaa20af9"],"state_sha256":"aec615876202efee8fc56a31896a6ccd9cf71510267d6bd6f5ebd1b14cf7761f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3vBDEw/8v3iuck4ShyJCNgNXHwt76eRdWLDproj5vQ+KTnJsT2Wo5mlQ3DVwWDe1vRygO8ZUw7sT89P4iFMzAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T14:46:34.532685Z","bundle_sha256":"5b41ea82cadd2d4a36d443b012f96d509ae61f60ef5da4fd93da93896621cc87"}}