{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2013:LNFAJMGVFFGYN5JRX4SI6V4JGJ","short_pith_number":"pith:LNFAJMGV","canonical_record":{"source":{"id":"1301.2293","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-01-10T16:25:16Z","cross_cats_sorted":[],"title_canon_sha256":"8c76c67a51c1e53312832fbbef7da97a7724c435dbdce219da19736a9befa8e8","abstract_canon_sha256":"7f0b47a77704390ec0b0c31dafb61e3b2d789a1f1465533b55f6b57698f79fd1"},"schema_version":"1.0"},"canonical_sha256":"5b4a04b0d5294d86f531bf248f5789326ee1b56d383ee7138b7d4ce0d30af308","source":{"kind":"arxiv","id":"1301.2293","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1301.2293","created_at":"2026-05-18T03:36:45Z"},{"alias_kind":"arxiv_version","alias_value":"1301.2293v1","created_at":"2026-05-18T03:36:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.2293","created_at":"2026-05-18T03:36:45Z"},{"alias_kind":"pith_short_12","alias_value":"LNFAJMGVFFGY","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_16","alias_value":"LNFAJMGVFFGYN5JR","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_8","alias_value":"LNFAJMGV","created_at":"2026-05-18T12:27:51Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2013:LNFAJMGVFFGYN5JRX4SI6V4JGJ","target":"record","payload":{"canonical_record":{"source":{"id":"1301.2293","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-01-10T16:25:16Z","cross_cats_sorted":[],"title_canon_sha256":"8c76c67a51c1e53312832fbbef7da97a7724c435dbdce219da19736a9befa8e8","abstract_canon_sha256":"7f0b47a77704390ec0b0c31dafb61e3b2d789a1f1465533b55f6b57698f79fd1"},"schema_version":"1.0"},"canonical_sha256":"5b4a04b0d5294d86f531bf248f5789326ee1b56d383ee7138b7d4ce0d30af308","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:36:45.524259Z","signature_b64":"sEdLuGrFNod0q6f3u/8OGB6KYkVARPRGWRxL2PTaCXRtHHulI7Bc0AMrzjn2IeMtee72J8XHy5eAVzC82G5hAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5b4a04b0d5294d86f531bf248f5789326ee1b56d383ee7138b7d4ce0d30af308","last_reissued_at":"2026-05-18T03:36:45.523649Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:36:45.523649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1301.2293","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":"2026-05-18T03:36:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+xBstv8fEIvr5fu+TUOcjN0hysMJ+oYAa6PlIFUzB+GU1A0WtnkxaTaW02RuWBWgIeXzv2geq7x9O2VM31X2Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T08:55:33.940820Z"},"content_sha256":"cd37b8eb583dfe57a93ec2d24f0c53883917feb5cb71b87e1db23bebe3ba638c","schema_version":"1.0","event_id":"sha256:cd37b8eb583dfe57a93ec2d24f0c53883917feb5cb71b87e1db23bebe3ba638c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2013:LNFAJMGVFFGYN5JRX4SI6V4JGJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Aggregating Learned Probabilistic Beliefs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Pedrito Maynard-Reid II, Urszula Chajewska","submitted_at":"2013-01-10T16:25:16Z","abstract_excerpt":"We consider the task of aggregating beliefs of severalexperts.  We assume that these beliefs are represented as probabilitydistributions.  We argue that the evaluation of any aggregationtechnique depends on the semantic context of this task.  We propose aframework, in which we assume that nature generates samples from a`true' distribution and different experts form their beliefs based onthe subsets of the data they have a chance to observe.  Naturally, theideal aggregate distribution would be the one learned from thecombined sample sets.  Such a formulation leads to a natural way tomeasure the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.2293","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":""},"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":"2026-05-18T03:36:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0Q8o6p+Ox6OdYJqvuzVcXzYhLYEJdIEzdj+afIZS1h+B4buMIwYGt0B6JwFiVdTgUJE6Ans0EZ2Bz+9O7L3SAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T08:55:33.941161Z"},"content_sha256":"030234624a884a9b39d023589393f8959bd37d7f0420d2b881c9e6eeee37c9be","schema_version":"1.0","event_id":"sha256:030234624a884a9b39d023589393f8959bd37d7f0420d2b881c9e6eeee37c9be"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LNFAJMGVFFGYN5JRX4SI6V4JGJ/bundle.json","state_url":"https://pith.science/pith/LNFAJMGVFFGYN5JRX4SI6V4JGJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LNFAJMGVFFGYN5JRX4SI6V4JGJ/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":"2026-06-25T08:55:33Z","links":{"resolver":"https://pith.science/pith/LNFAJMGVFFGYN5JRX4SI6V4JGJ","bundle":"https://pith.science/pith/LNFAJMGVFFGYN5JRX4SI6V4JGJ/bundle.json","state":"https://pith.science/pith/LNFAJMGVFFGYN5JRX4SI6V4JGJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LNFAJMGVFFGYN5JRX4SI6V4JGJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2013:LNFAJMGVFFGYN5JRX4SI6V4JGJ","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":"7f0b47a77704390ec0b0c31dafb61e3b2d789a1f1465533b55f6b57698f79fd1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-01-10T16:25:16Z","title_canon_sha256":"8c76c67a51c1e53312832fbbef7da97a7724c435dbdce219da19736a9befa8e8"},"schema_version":"1.0","source":{"id":"1301.2293","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1301.2293","created_at":"2026-05-18T03:36:45Z"},{"alias_kind":"arxiv_version","alias_value":"1301.2293v1","created_at":"2026-05-18T03:36:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.2293","created_at":"2026-05-18T03:36:45Z"},{"alias_kind":"pith_short_12","alias_value":"LNFAJMGVFFGY","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_16","alias_value":"LNFAJMGVFFGYN5JR","created_at":"2026-05-18T12:27:51Z"},{"alias_kind":"pith_short_8","alias_value":"LNFAJMGV","created_at":"2026-05-18T12:27:51Z"}],"graph_snapshots":[{"event_id":"sha256:030234624a884a9b39d023589393f8959bd37d7f0420d2b881c9e6eeee37c9be","target":"graph","created_at":"2026-05-18T03:36:45Z","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"},"paper":{"abstract_excerpt":"We consider the task of aggregating beliefs of severalexperts.  We assume that these beliefs are represented as probabilitydistributions.  We argue that the evaluation of any aggregationtechnique depends on the semantic context of this task.  We propose aframework, in which we assume that nature generates samples from a`true' distribution and different experts form their beliefs based onthe subsets of the data they have a chance to observe.  Naturally, theideal aggregate distribution would be the one learned from thecombined sample sets.  Such a formulation leads to a natural way tomeasure the","authors_text":"Pedrito Maynard-Reid II, Urszula Chajewska","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-01-10T16:25:16Z","title":"Aggregating Learned Probabilistic Beliefs"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.2293","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:cd37b8eb583dfe57a93ec2d24f0c53883917feb5cb71b87e1db23bebe3ba638c","target":"record","created_at":"2026-05-18T03:36:45Z","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":"7f0b47a77704390ec0b0c31dafb61e3b2d789a1f1465533b55f6b57698f79fd1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2013-01-10T16:25:16Z","title_canon_sha256":"8c76c67a51c1e53312832fbbef7da97a7724c435dbdce219da19736a9befa8e8"},"schema_version":"1.0","source":{"id":"1301.2293","kind":"arxiv","version":1}},"canonical_sha256":"5b4a04b0d5294d86f531bf248f5789326ee1b56d383ee7138b7d4ce0d30af308","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5b4a04b0d5294d86f531bf248f5789326ee1b56d383ee7138b7d4ce0d30af308","first_computed_at":"2026-05-18T03:36:45.523649Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:36:45.523649Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sEdLuGrFNod0q6f3u/8OGB6KYkVARPRGWRxL2PTaCXRtHHulI7Bc0AMrzjn2IeMtee72J8XHy5eAVzC82G5hAw==","signature_status":"signed_v1","signed_at":"2026-05-18T03:36:45.524259Z","signed_message":"canonical_sha256_bytes"},"source_id":"1301.2293","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cd37b8eb583dfe57a93ec2d24f0c53883917feb5cb71b87e1db23bebe3ba638c","sha256:030234624a884a9b39d023589393f8959bd37d7f0420d2b881c9e6eeee37c9be"],"state_sha256":"46fabd2f4e6fe17bf5cf6b37dfa9d84eb00d5b5259d3c02789767d76e7d807d4"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kHEsjTahVQk7vOQfbJWGj247qzP1eZFON06XaiL0VP8w+sX/XO4sq9+7uMY5yIrMCdFM/Qwdat/YN0QAtpScAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T08:55:33.943173Z","bundle_sha256":"2e4a3fabd436e5846f9f50921fe7a47f6e00b0035ef7e9269f6787897c92d77c"}}