{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:CVCYL3WCWMY5I5D7P2PYCCWHB5","short_pith_number":"pith:CVCYL3WC","canonical_record":{"source":{"id":"2107.09182","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T22:34:43Z","cross_cats_sorted":[],"title_canon_sha256":"50f8b0f19537b2c4bb5ab6bd9a60b2be73c0ec276d0874bbf912d2bc13d715b1","abstract_canon_sha256":"9900543b9a718a6d0779a1509dbc74d668317185aedf50a2131bdf3454456040"},"schema_version":"1.0"},"canonical_sha256":"154585eec2b331d4747f7e9f810ac70f5c7e9a9c318167b899334a9dc2326d59","source":{"kind":"arxiv","id":"2107.09182","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.09182","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2107.09182v1","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.09182","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"CVCYL3WCWMY5","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"CVCYL3WCWMY5I5D7","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"CVCYL3WC","created_at":"2026-07-05T04:37:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:CVCYL3WCWMY5I5D7P2PYCCWHB5","target":"record","payload":{"canonical_record":{"source":{"id":"2107.09182","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T22:34:43Z","cross_cats_sorted":[],"title_canon_sha256":"50f8b0f19537b2c4bb5ab6bd9a60b2be73c0ec276d0874bbf912d2bc13d715b1","abstract_canon_sha256":"9900543b9a718a6d0779a1509dbc74d668317185aedf50a2131bdf3454456040"},"schema_version":"1.0"},"canonical_sha256":"154585eec2b331d4747f7e9f810ac70f5c7e9a9c318167b899334a9dc2326d59","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:37:53.073652Z","signature_b64":"qVRFpt8ChRoN3XAgcBwjmMDQ5eaeWNqse3tOSE2UX8iQYh0YemJGJe6RKqOcxWEozD2SZFNGl2d3OkhRXpL5Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"154585eec2b331d4747f7e9f810ac70f5c7e9a9c318167b899334a9dc2326d59","last_reissued_at":"2026-07-05T04:37:53.073255Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:37:53.073255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2107.09182","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":"2026-07-05T04:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lc8cQogpsUL9qhezNSUHEvHLQV7qLBmAaUnxLJL50Gs1mv6VRV4LVBl1wFbAOJE4GXEaugl2aGOKNgNRdnbiDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:21:04.883354Z"},"content_sha256":"502381da54c2d9f73f8df2c60c2bac7e0f374b1429692cb33f3905c8b58569f1","schema_version":"1.0","event_id":"sha256:502381da54c2d9f73f8df2c60c2bac7e0f374b1429692cb33f3905c8b58569f1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:CVCYL3WCWMY5I5D7P2PYCCWHB5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Incorporating domain knowledge into neural-guided search","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Brenden K. Petersen, Claudio P. Santiago, Mikel Landajuela","submitted_at":"2021-07-19T22:34:43Z","abstract_excerpt":"Many AutoML problems involve optimizing discrete objects under a black-box reward. Neural-guided search provides a flexible means of searching these combinatorial spaces using an autoregressive recurrent neural network. A major benefit of this approach is that builds up objects sequentially--this provides an opportunity to incorporate domain knowledge into the search by directly modifying the logits emitted during sampling. In this work, we formalize a framework for incorporating such in situ priors and constraints into neural-guided search, and provide sufficient conditions for enforcing cons"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.09182","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/2107.09182/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":"2026-07-05T04:37:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rH7kSxlkUK6pUnA9yWoZpLXiCJc1xM3AkCRcppl1qOGoajqQFC3pCGT2exVlWhXz4snQWwz5oXdLP/L8FCeYAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:21:04.883785Z"},"content_sha256":"76788bd9a1c2a621ab4a5b4541a10e8c9dc9c70282ac3cd5abb1fa02b2a07367","schema_version":"1.0","event_id":"sha256:76788bd9a1c2a621ab4a5b4541a10e8c9dc9c70282ac3cd5abb1fa02b2a07367"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CVCYL3WCWMY5I5D7P2PYCCWHB5/bundle.json","state_url":"https://pith.science/pith/CVCYL3WCWMY5I5D7P2PYCCWHB5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CVCYL3WCWMY5I5D7P2PYCCWHB5/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":"2026-07-06T19:21:04Z","links":{"resolver":"https://pith.science/pith/CVCYL3WCWMY5I5D7P2PYCCWHB5","bundle":"https://pith.science/pith/CVCYL3WCWMY5I5D7P2PYCCWHB5/bundle.json","state":"https://pith.science/pith/CVCYL3WCWMY5I5D7P2PYCCWHB5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CVCYL3WCWMY5I5D7P2PYCCWHB5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:CVCYL3WCWMY5I5D7P2PYCCWHB5","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":"9900543b9a718a6d0779a1509dbc74d668317185aedf50a2131bdf3454456040","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T22:34:43Z","title_canon_sha256":"50f8b0f19537b2c4bb5ab6bd9a60b2be73c0ec276d0874bbf912d2bc13d715b1"},"schema_version":"1.0","source":{"id":"2107.09182","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2107.09182","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"arxiv_version","alias_value":"2107.09182v1","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2107.09182","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"pith_short_12","alias_value":"CVCYL3WCWMY5","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"pith_short_16","alias_value":"CVCYL3WCWMY5I5D7","created_at":"2026-07-05T04:37:53Z"},{"alias_kind":"pith_short_8","alias_value":"CVCYL3WC","created_at":"2026-07-05T04:37:53Z"}],"graph_snapshots":[{"event_id":"sha256:76788bd9a1c2a621ab4a5b4541a10e8c9dc9c70282ac3cd5abb1fa02b2a07367","target":"graph","created_at":"2026-07-05T04:37:53Z","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/2107.09182/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Many AutoML problems involve optimizing discrete objects under a black-box reward. Neural-guided search provides a flexible means of searching these combinatorial spaces using an autoregressive recurrent neural network. A major benefit of this approach is that builds up objects sequentially--this provides an opportunity to incorporate domain knowledge into the search by directly modifying the logits emitted during sampling. In this work, we formalize a framework for incorporating such in situ priors and constraints into neural-guided search, and provide sufficient conditions for enforcing cons","authors_text":"Brenden K. Petersen, Claudio P. Santiago, Mikel Landajuela","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T22:34:43Z","title":"Incorporating domain knowledge into neural-guided search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2107.09182","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":"sha256:502381da54c2d9f73f8df2c60c2bac7e0f374b1429692cb33f3905c8b58569f1","target":"record","created_at":"2026-07-05T04:37:53Z","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":"9900543b9a718a6d0779a1509dbc74d668317185aedf50a2131bdf3454456040","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2021-07-19T22:34:43Z","title_canon_sha256":"50f8b0f19537b2c4bb5ab6bd9a60b2be73c0ec276d0874bbf912d2bc13d715b1"},"schema_version":"1.0","source":{"id":"2107.09182","kind":"arxiv","version":1}},"canonical_sha256":"154585eec2b331d4747f7e9f810ac70f5c7e9a9c318167b899334a9dc2326d59","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"154585eec2b331d4747f7e9f810ac70f5c7e9a9c318167b899334a9dc2326d59","first_computed_at":"2026-07-05T04:37:53.073255Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:37:53.073255Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qVRFpt8ChRoN3XAgcBwjmMDQ5eaeWNqse3tOSE2UX8iQYh0YemJGJe6RKqOcxWEozD2SZFNGl2d3OkhRXpL5Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:37:53.073652Z","signed_message":"canonical_sha256_bytes"},"source_id":"2107.09182","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:502381da54c2d9f73f8df2c60c2bac7e0f374b1429692cb33f3905c8b58569f1","sha256:76788bd9a1c2a621ab4a5b4541a10e8c9dc9c70282ac3cd5abb1fa02b2a07367"],"state_sha256":"c44a06f6d6d20f57778849d396b1a459da592066e6a24cc0f943bcb3a18e2301"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/QAanjsjTQYBArDuaj6xaEyuSEFcuvfJf8Ie3LkXqSWhJjZmbLJ+2jK2MRHeFGWcQQS2CPq6tI37xC/oEQ8GBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:21:04.885762Z","bundle_sha256":"8b26df147ab07e7e73d23ad36405de39a8c5e9009bc56452a6f1ff8c1c7a1bb2"}}