{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:5FCP7D54NJT5OOYYUD6ERWKCNI","short_pith_number":"pith:5FCP7D54","canonical_record":{"source":{"id":"2304.03866","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-07T23:37:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c23d2972fb880435d20f0a56e290c684d52a684189e77cba57ff683bb66cc2b5","abstract_canon_sha256":"425730d66d5d971e72e589d7096afa29209358a6fece82e13e457f6a33594a31"},"schema_version":"1.0"},"canonical_sha256":"e944ff8fbc6a67d73b18a0fc48d9426a1f591405655c39c66953b0d219b068ca","source":{"kind":"arxiv","id":"2304.03866","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.03866","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"arxiv_version","alias_value":"2304.03866v1","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.03866","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"pith_short_12","alias_value":"5FCP7D54NJT5","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"pith_short_16","alias_value":"5FCP7D54NJT5OOYY","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"pith_short_8","alias_value":"5FCP7D54","created_at":"2026-07-05T05:59:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:5FCP7D54NJT5OOYYUD6ERWKCNI","target":"record","payload":{"canonical_record":{"source":{"id":"2304.03866","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-07T23:37:50Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"c23d2972fb880435d20f0a56e290c684d52a684189e77cba57ff683bb66cc2b5","abstract_canon_sha256":"425730d66d5d971e72e589d7096afa29209358a6fece82e13e457f6a33594a31"},"schema_version":"1.0"},"canonical_sha256":"e944ff8fbc6a67d73b18a0fc48d9426a1f591405655c39c66953b0d219b068ca","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:59:08.402575Z","signature_b64":"el0VArs1uo1+aKXszeRnpfwO/MfIcSPOsjV0x4+av6X88ckyG7WR83PkK/jH1KIbGaNUn5ri2MkEgiWrx+VVDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e944ff8fbc6a67d73b18a0fc48d9426a1f591405655c39c66953b0d219b068ca","last_reissued_at":"2026-07-05T05:59:08.402166Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:59:08.402166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.03866","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":"2026-07-05T05:59:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kGE1vWn6uejvp7D2z0SEtZA/jh2G1GgQdsMft31nX2keSoAwNssxReZn/SFAMpizu+PmKc4jsHkNdqdFKHCsBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:05:31.514541Z"},"content_sha256":"761647ae6febf3166e6a4e1ac2c846ec1cba9a6b07a8201679575cdfb1f3495d","schema_version":"1.0","event_id":"sha256:761647ae6febf3166e6a4e1ac2c846ec1cba9a6b07a8201679575cdfb1f3495d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:5FCP7D54NJT5OOYYUD6ERWKCNI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conservative objective models are a special kind of contrastive divergence-based energy model","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"stat.ML","authors_text":"Christopher Beckham, Christopher Pal","submitted_at":"2023-04-07T23:37:50Z","abstract_excerpt":"In this work we theoretically show that conservative objective models (COMs) for offline model-based optimisation (MBO) are a special kind of contrastive divergence-based energy model, one where the energy function represents both the unconditional probability of the input and the conditional probability of the reward variable. While the initial formulation only samples modes from its learned distribution, we propose a simple fix that replaces its gradient ascent sampler with a Langevin MCMC sampler. This gives rise to a special probabilistic model where the probability of sampling an input is"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03866","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/2304.03866/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":"2026-07-05T05:59:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2HsPqtXfX6Ht7ZBKM+VPE2/OoEoIEpwDHJPSlp10D+0vRwkN0itPkgr0LI2tQLj5y9AV6KmjAo6HPoo9Lrw9Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T07:05:31.515019Z"},"content_sha256":"f5f54a3bdc257b7ee1aa3a013607a26f1e389a8a0b0b7e024717d6b6bd053289","schema_version":"1.0","event_id":"sha256:f5f54a3bdc257b7ee1aa3a013607a26f1e389a8a0b0b7e024717d6b6bd053289"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/5FCP7D54NJT5OOYYUD6ERWKCNI/bundle.json","state_url":"https://pith.science/pith/5FCP7D54NJT5OOYYUD6ERWKCNI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/5FCP7D54NJT5OOYYUD6ERWKCNI/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":"2026-08-05T07:05:31Z","links":{"resolver":"https://pith.science/pith/5FCP7D54NJT5OOYYUD6ERWKCNI","bundle":"https://pith.science/pith/5FCP7D54NJT5OOYYUD6ERWKCNI/bundle.json","state":"https://pith.science/pith/5FCP7D54NJT5OOYYUD6ERWKCNI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/5FCP7D54NJT5OOYYUD6ERWKCNI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:5FCP7D54NJT5OOYYUD6ERWKCNI","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":"425730d66d5d971e72e589d7096afa29209358a6fece82e13e457f6a33594a31","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-07T23:37:50Z","title_canon_sha256":"c23d2972fb880435d20f0a56e290c684d52a684189e77cba57ff683bb66cc2b5"},"schema_version":"1.0","source":{"id":"2304.03866","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.03866","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"arxiv_version","alias_value":"2304.03866v1","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.03866","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"pith_short_12","alias_value":"5FCP7D54NJT5","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"pith_short_16","alias_value":"5FCP7D54NJT5OOYY","created_at":"2026-07-05T05:59:08Z"},{"alias_kind":"pith_short_8","alias_value":"5FCP7D54","created_at":"2026-07-05T05:59:08Z"}],"graph_snapshots":[{"event_id":"sha256:f5f54a3bdc257b7ee1aa3a013607a26f1e389a8a0b0b7e024717d6b6bd053289","target":"graph","created_at":"2026-07-05T05:59:08Z","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/2304.03866/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work we theoretically show that conservative objective models (COMs) for offline model-based optimisation (MBO) are a special kind of contrastive divergence-based energy model, one where the energy function represents both the unconditional probability of the input and the conditional probability of the reward variable. While the initial formulation only samples modes from its learned distribution, we propose a simple fix that replaces its gradient ascent sampler with a Langevin MCMC sampler. This gives rise to a special probabilistic model where the probability of sampling an input is","authors_text":"Christopher Beckham, Christopher Pal","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-07T23:37:50Z","title":"Conservative objective models are a special kind of contrastive divergence-based energy model"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.03866","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":"sha256:761647ae6febf3166e6a4e1ac2c846ec1cba9a6b07a8201679575cdfb1f3495d","target":"record","created_at":"2026-07-05T05:59:08Z","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":"425730d66d5d971e72e589d7096afa29209358a6fece82e13e457f6a33594a31","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"stat.ML","submitted_at":"2023-04-07T23:37:50Z","title_canon_sha256":"c23d2972fb880435d20f0a56e290c684d52a684189e77cba57ff683bb66cc2b5"},"schema_version":"1.0","source":{"id":"2304.03866","kind":"arxiv","version":1}},"canonical_sha256":"e944ff8fbc6a67d73b18a0fc48d9426a1f591405655c39c66953b0d219b068ca","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e944ff8fbc6a67d73b18a0fc48d9426a1f591405655c39c66953b0d219b068ca","first_computed_at":"2026-07-05T05:59:08.402166Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:59:08.402166Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"el0VArs1uo1+aKXszeRnpfwO/MfIcSPOsjV0x4+av6X88ckyG7WR83PkK/jH1KIbGaNUn5ri2MkEgiWrx+VVDw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:59:08.402575Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.03866","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:761647ae6febf3166e6a4e1ac2c846ec1cba9a6b07a8201679575cdfb1f3495d","sha256:f5f54a3bdc257b7ee1aa3a013607a26f1e389a8a0b0b7e024717d6b6bd053289"],"state_sha256":"2dfcf2344fc6dc11f836a1f9ca9a73de06ae13220015af9d7bb518f29960c043"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/IfBxQ/iWZyvzMKpmeTuCi3hIWJhin/VyKRFesxmukB3jXWnIqS8SZgzRNdZkyJljQlIQCoINEwDgmIhKF/ACQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T07:05:31.518140Z","bundle_sha256":"b30e17403a52cd5ce6c978ba61d28310d385f27605e5c28e59fae43281ba71a5"}}