{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:BS2Z6B5IR7NUEQFMOUUZWXHQCH","short_pith_number":"pith:BS2Z6B5I","canonical_record":{"source":{"id":"1703.03023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-08T20:32:20Z","cross_cats_sorted":[],"title_canon_sha256":"c5d0b3085998f72704f6e403a2d86d2f739711163b1a6a25d40109474c5b1cff","abstract_canon_sha256":"342c4b472f1d492c36a0f94dac87640660f3158c027c4bb6e9c450a34ba9e197"},"schema_version":"1.0"},"canonical_sha256":"0cb59f07a88fdb4240ac75299b5cf011e45ff40f9e0de285cdf539a45cc2f9b4","source":{"kind":"arxiv","id":"1703.03023","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03023","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03023v1","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03023","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"pith_short_12","alias_value":"BS2Z6B5IR7NU","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BS2Z6B5IR7NUEQFM","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BS2Z6B5I","created_at":"2026-05-18T12:31:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:BS2Z6B5IR7NUEQFMOUUZWXHQCH","target":"record","payload":{"canonical_record":{"source":{"id":"1703.03023","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-08T20:32:20Z","cross_cats_sorted":[],"title_canon_sha256":"c5d0b3085998f72704f6e403a2d86d2f739711163b1a6a25d40109474c5b1cff","abstract_canon_sha256":"342c4b472f1d492c36a0f94dac87640660f3158c027c4bb6e9c450a34ba9e197"},"schema_version":"1.0"},"canonical_sha256":"0cb59f07a88fdb4240ac75299b5cf011e45ff40f9e0de285cdf539a45cc2f9b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:49:01.832880Z","signature_b64":"9W1ffzeCR0Y136knaEd+MqwK+XMFgqaN4a5+LNJFKwVZPcgjdGLK1t1bNVxw/US1FtINLbFEQ5NLhqYfYyeBCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0cb59f07a88fdb4240ac75299b5cf011e45ff40f9e0de285cdf539a45cc2f9b4","last_reissued_at":"2026-05-18T00:49:01.832205Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:49:01.832205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1703.03023","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":"2026-05-18T00:49:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l77N6UUumVT5jhiQ23PJnPN6s4UYVf2YM1QMRMnKuCEGJbsrkTYNxXY/NB9uyCVsVPP91bQ1Cr57GkTaDDPDCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T13:57:08.327518Z"},"content_sha256":"ce2ff92da9a2ec973d8466786d7bf74309d2c8de50ad3b093e415ba7192c43ae","schema_version":"1.0","event_id":"sha256:ce2ff92da9a2ec973d8466786d7bf74309d2c8de50ad3b093e415ba7192c43ae"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:BS2Z6B5IR7NUEQFMOUUZWXHQCH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Elicitation, measuring bias, checking for prior-data conflict and inference with a Dirichlet prior","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Irwin Guttman, Michael Evans, Peiying Li","submitted_at":"2017-03-08T20:32:20Z","abstract_excerpt":"Methods are developed for eliciting a Dirichlet prior based upon bounds on the individual probabilities that hold with virtual certainty. This approach to selecting a prior is applied to a contingency table problem where it is demonstrated how to assess the bias in the prior as well as how to check for prior-data conflict. It is shown that the assessment of a hypothesis via relative belief can easily take into account what it means for the falsity of the hypothesis to correspond to a difference of practical importance and provide evidence in favor of a hypothesis."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03023","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":"2026-05-18T00:49:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9qK/0OXQWa/C0znHOOub0HthHDn2QTG91hyD3XJh9GQ/IAgWacymmCJ/smqoQfj+cUInsPwOFZoGPQqhNeAcAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T13:57:08.328220Z"},"content_sha256":"db4b7e9db2e8c2e8b3b0a2075d7c4c4795f58f5df4edca64e3fd93435ea13b51","schema_version":"1.0","event_id":"sha256:db4b7e9db2e8c2e8b3b0a2075d7c4c4795f58f5df4edca64e3fd93435ea13b51"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BS2Z6B5IR7NUEQFMOUUZWXHQCH/bundle.json","state_url":"https://pith.science/pith/BS2Z6B5IR7NUEQFMOUUZWXHQCH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BS2Z6B5IR7NUEQFMOUUZWXHQCH/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":"2026-06-09T13:57:08Z","links":{"resolver":"https://pith.science/pith/BS2Z6B5IR7NUEQFMOUUZWXHQCH","bundle":"https://pith.science/pith/BS2Z6B5IR7NUEQFMOUUZWXHQCH/bundle.json","state":"https://pith.science/pith/BS2Z6B5IR7NUEQFMOUUZWXHQCH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BS2Z6B5IR7NUEQFMOUUZWXHQCH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BS2Z6B5IR7NUEQFMOUUZWXHQCH","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":"342c4b472f1d492c36a0f94dac87640660f3158c027c4bb6e9c450a34ba9e197","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-08T20:32:20Z","title_canon_sha256":"c5d0b3085998f72704f6e403a2d86d2f739711163b1a6a25d40109474c5b1cff"},"schema_version":"1.0","source":{"id":"1703.03023","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1703.03023","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"arxiv_version","alias_value":"1703.03023v1","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1703.03023","created_at":"2026-05-18T00:49:01Z"},{"alias_kind":"pith_short_12","alias_value":"BS2Z6B5IR7NU","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BS2Z6B5IR7NUEQFM","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BS2Z6B5I","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:db4b7e9db2e8c2e8b3b0a2075d7c4c4795f58f5df4edca64e3fd93435ea13b51","target":"graph","created_at":"2026-05-18T00:49:01Z","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":"Methods are developed for eliciting a Dirichlet prior based upon bounds on the individual probabilities that hold with virtual certainty. This approach to selecting a prior is applied to a contingency table problem where it is demonstrated how to assess the bias in the prior as well as how to check for prior-data conflict. It is shown that the assessment of a hypothesis via relative belief can easily take into account what it means for the falsity of the hypothesis to correspond to a difference of practical importance and provide evidence in favor of a hypothesis.","authors_text":"Irwin Guttman, Michael Evans, Peiying Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-08T20:32:20Z","title":"Elicitation, measuring bias, checking for prior-data conflict and inference with a Dirichlet prior"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1703.03023","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:ce2ff92da9a2ec973d8466786d7bf74309d2c8de50ad3b093e415ba7192c43ae","target":"record","created_at":"2026-05-18T00:49:01Z","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":"342c4b472f1d492c36a0f94dac87640660f3158c027c4bb6e9c450a34ba9e197","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-03-08T20:32:20Z","title_canon_sha256":"c5d0b3085998f72704f6e403a2d86d2f739711163b1a6a25d40109474c5b1cff"},"schema_version":"1.0","source":{"id":"1703.03023","kind":"arxiv","version":1}},"canonical_sha256":"0cb59f07a88fdb4240ac75299b5cf011e45ff40f9e0de285cdf539a45cc2f9b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0cb59f07a88fdb4240ac75299b5cf011e45ff40f9e0de285cdf539a45cc2f9b4","first_computed_at":"2026-05-18T00:49:01.832205Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:49:01.832205Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9W1ffzeCR0Y136knaEd+MqwK+XMFgqaN4a5+LNJFKwVZPcgjdGLK1t1bNVxw/US1FtINLbFEQ5NLhqYfYyeBCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:49:01.832880Z","signed_message":"canonical_sha256_bytes"},"source_id":"1703.03023","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ce2ff92da9a2ec973d8466786d7bf74309d2c8de50ad3b093e415ba7192c43ae","sha256:db4b7e9db2e8c2e8b3b0a2075d7c4c4795f58f5df4edca64e3fd93435ea13b51"],"state_sha256":"33661a15ec77b1c7c7f31ec556e3c528b0ea86c39fef9b4a97fa49c6e672bb2e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m2N+YfkX70pfWlKfI6z5KctvAeDDL38BE89wTPbf5OVqBe8TbvkPBeLiMyl348v1/5C1ZXqZnff19R6kMDTVAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T13:57:08.331359Z","bundle_sha256":"460457b8e7113cd705a73ddfcc17967217a75557c61711bbaa19f9b66ee28a34"}}