{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:4LKXF7NKDWWAYMXHWOILG63VLP","short_pith_number":"pith:4LKXF7NK","canonical_record":{"source":{"id":"2602.01483","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-01T23:34:34Z","cross_cats_sorted":["cs.AI","stat.ME"],"title_canon_sha256":"80570298cf5be95256706457596af16c10f02064c8a4b85f32123e274d5146eb","abstract_canon_sha256":"ff276a4c2ef42aa9fbce3451af2a7e5855127f26593e37a907d92a9e56874c57"},"schema_version":"1.0"},"canonical_sha256":"e2d572fdaa1dac0c32e7b390b37b755bd89311444fe986f5be7dcea0b8f7f140","source":{"kind":"arxiv","id":"2602.01483","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.01483","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"2602.01483v2","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.01483","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"4LKXF7NKDWWA","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"pith_short_16","alias_value":"4LKXF7NKDWWAYMXH","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"pith_short_8","alias_value":"4LKXF7NK","created_at":"2026-06-03T01:05:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:4LKXF7NKDWWAYMXHWOILG63VLP","target":"record","payload":{"canonical_record":{"source":{"id":"2602.01483","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-01T23:34:34Z","cross_cats_sorted":["cs.AI","stat.ME"],"title_canon_sha256":"80570298cf5be95256706457596af16c10f02064c8a4b85f32123e274d5146eb","abstract_canon_sha256":"ff276a4c2ef42aa9fbce3451af2a7e5855127f26593e37a907d92a9e56874c57"},"schema_version":"1.0"},"canonical_sha256":"e2d572fdaa1dac0c32e7b390b37b755bd89311444fe986f5be7dcea0b8f7f140","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-03T01:05:09.916951Z","signature_b64":"ERyPCKwidX2duufIPCWe2pk+j1J58W7kaIjikw1vcEqZoN39WXe+0CTIOXXsYFh76N+EDPE1aS84vK5ZkY+eBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e2d572fdaa1dac0c32e7b390b37b755bd89311444fe986f5be7dcea0b8f7f140","last_reissued_at":"2026-06-03T01:05:09.916480Z","signature_status":"signed_v1","first_computed_at":"2026-06-03T01:05:09.916480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2602.01483","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-03T01:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Tkj8TsrsXjkRrRl+kMfrIKV4WfmKnAxYtFZmpNAkF7p3POIlHkTdMfolreNkUAElt7U+MSjpO+ovcMSqlUeSAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:07:38.304337Z"},"content_sha256":"208f3e892e89cb915651be5316266420521cc9e97769402208f05b561b77e5f3","schema_version":"1.0","event_id":"sha256:208f3e892e89cb915651be5316266420521cc9e97769402208f05b561b77e5f3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:4LKXF7NKDWWAYMXHWOILG63VLP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Causal Preference Elicitation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","stat.ME"],"primary_cat":"cs.LG","authors_text":"Daniel M. Steinberg, Edwin V. Bonilla, He Zhao","submitted_at":"2026-02-01T23:34:34Z","abstract_excerpt":"We propose causal preference elicitation, a Bayesian framework for expert-in-the-loop causal discovery that actively queries local edge relations to concentrate a posterior over directed acyclic graphs (DAGs). From any black-box observational posterior, we model noisy expert judgments with a three-way likelihood over edge existence and direction. Posterior inference uses a flexible particle approximation, and queries are selected by an efficient expected information gain criterion on the expert's categorical response. Experiments on synthetic graphs, protein signaling data, and a human gene pe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.01483","kind":"arxiv","version":2},"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/2602.01483/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":"2026-06-03T01:05:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KtRVG8j9IMWFGttNKN7FjA8Fh6vAa2dAQMc6QfWN9JJfnSc4OwyQJIpfrvsCQ6r4QifbSkTgQuwH48brwo1ICQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-06T20:07:38.305000Z"},"content_sha256":"5b510f4ef7c113a7aa9118504c4f232ae2a73b48df7527839cba94d39e87e6c7","schema_version":"1.0","event_id":"sha256:5b510f4ef7c113a7aa9118504c4f232ae2a73b48df7527839cba94d39e87e6c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4LKXF7NKDWWAYMXHWOILG63VLP/bundle.json","state_url":"https://pith.science/pith/4LKXF7NKDWWAYMXHWOILG63VLP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4LKXF7NKDWWAYMXHWOILG63VLP/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":"2026-06-06T20:07:38Z","links":{"resolver":"https://pith.science/pith/4LKXF7NKDWWAYMXHWOILG63VLP","bundle":"https://pith.science/pith/4LKXF7NKDWWAYMXHWOILG63VLP/bundle.json","state":"https://pith.science/pith/4LKXF7NKDWWAYMXHWOILG63VLP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4LKXF7NKDWWAYMXHWOILG63VLP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:4LKXF7NKDWWAYMXHWOILG63VLP","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":"ff276a4c2ef42aa9fbce3451af2a7e5855127f26593e37a907d92a9e56874c57","cross_cats_sorted":["cs.AI","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-01T23:34:34Z","title_canon_sha256":"80570298cf5be95256706457596af16c10f02064c8a4b85f32123e274d5146eb"},"schema_version":"1.0","source":{"id":"2602.01483","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2602.01483","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"arxiv_version","alias_value":"2602.01483v2","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2602.01483","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"pith_short_12","alias_value":"4LKXF7NKDWWA","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"pith_short_16","alias_value":"4LKXF7NKDWWAYMXH","created_at":"2026-06-03T01:05:09Z"},{"alias_kind":"pith_short_8","alias_value":"4LKXF7NK","created_at":"2026-06-03T01:05:09Z"}],"graph_snapshots":[{"event_id":"sha256:5b510f4ef7c113a7aa9118504c4f232ae2a73b48df7527839cba94d39e87e6c7","target":"graph","created_at":"2026-06-03T01:05:09Z","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/2602.01483/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose causal preference elicitation, a Bayesian framework for expert-in-the-loop causal discovery that actively queries local edge relations to concentrate a posterior over directed acyclic graphs (DAGs). From any black-box observational posterior, we model noisy expert judgments with a three-way likelihood over edge existence and direction. Posterior inference uses a flexible particle approximation, and queries are selected by an efficient expected information gain criterion on the expert's categorical response. Experiments on synthetic graphs, protein signaling data, and a human gene pe","authors_text":"Daniel M. Steinberg, Edwin V. Bonilla, He Zhao","cross_cats":["cs.AI","stat.ME"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-01T23:34:34Z","title":"Causal Preference Elicitation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2602.01483","kind":"arxiv","version":2},"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":"sha256:208f3e892e89cb915651be5316266420521cc9e97769402208f05b561b77e5f3","target":"record","created_at":"2026-06-03T01:05:09Z","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":"ff276a4c2ef42aa9fbce3451af2a7e5855127f26593e37a907d92a9e56874c57","cross_cats_sorted":["cs.AI","stat.ME"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-02-01T23:34:34Z","title_canon_sha256":"80570298cf5be95256706457596af16c10f02064c8a4b85f32123e274d5146eb"},"schema_version":"1.0","source":{"id":"2602.01483","kind":"arxiv","version":2}},"canonical_sha256":"e2d572fdaa1dac0c32e7b390b37b755bd89311444fe986f5be7dcea0b8f7f140","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e2d572fdaa1dac0c32e7b390b37b755bd89311444fe986f5be7dcea0b8f7f140","first_computed_at":"2026-06-03T01:05:09.916480Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-03T01:05:09.916480Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ERyPCKwidX2duufIPCWe2pk+j1J58W7kaIjikw1vcEqZoN39WXe+0CTIOXXsYFh76N+EDPE1aS84vK5ZkY+eBg==","signature_status":"signed_v1","signed_at":"2026-06-03T01:05:09.916951Z","signed_message":"canonical_sha256_bytes"},"source_id":"2602.01483","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:208f3e892e89cb915651be5316266420521cc9e97769402208f05b561b77e5f3","sha256:5b510f4ef7c113a7aa9118504c4f232ae2a73b48df7527839cba94d39e87e6c7"],"state_sha256":"07c0e3c530f4534c7ce7fcedd9a3a1edd5f08cda397941726f05af3a9e94668f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2BwIH2Y9AZGm8B2wIMzq2jQqLgrJyLvc6aZRHISSBmoPCQThFd3QKY7ozuF4MSQrxXqUAGS4xqAhoARoS3xoBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-06T20:07:38.308595Z","bundle_sha256":"b0b298d85c65ae370be3b5708de43e4fb01fd2a9cdc81a7d524e610fa643b8eb"}}