{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JIDZGZY3SP5KGCJQJBCUWO4ZX4","short_pith_number":"pith:JIDZGZY3","canonical_record":{"source":{"id":"2511.11862","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-11-14T20:45:15Z","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"title_canon_sha256":"0c65273f5733b091823724c8d7b5504ad791c323b49a5fe2d2c479d733748e9d","abstract_canon_sha256":"e7f8cd5cf83da31a41ad1366cd93840f74be4d7ab91e7fb7dba5bd81815c83c6"},"schema_version":"1.0"},"canonical_sha256":"4a0793671b93faa3093048454b3b99bf392d39ff2b0b9a2361a4d890a39d7be3","source":{"kind":"arxiv","id":"2511.11862","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.11862","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"arxiv_version","alias_value":"2511.11862v2","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.11862","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"pith_short_12","alias_value":"JIDZGZY3SP5K","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"pith_short_16","alias_value":"JIDZGZY3SP5KGCJQ","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"pith_short_8","alias_value":"JIDZGZY3","created_at":"2026-06-11T01:10:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JIDZGZY3SP5KGCJQJBCUWO4ZX4","target":"record","payload":{"canonical_record":{"source":{"id":"2511.11862","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-11-14T20:45:15Z","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"title_canon_sha256":"0c65273f5733b091823724c8d7b5504ad791c323b49a5fe2d2c479d733748e9d","abstract_canon_sha256":"e7f8cd5cf83da31a41ad1366cd93840f74be4d7ab91e7fb7dba5bd81815c83c6"},"schema_version":"1.0"},"canonical_sha256":"4a0793671b93faa3093048454b3b99bf392d39ff2b0b9a2361a4d890a39d7be3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-11T01:10:29.811948Z","signature_b64":"KuDz6OyaGTYFa6foUHG2qAfeYEOQWiK3JbnkHhpGehdHGx+vMXSgOazA1jyVP09HGFbuFACnpJ65lOJDUOX/Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a0793671b93faa3093048454b3b99bf392d39ff2b0b9a2361a4d890a39d7be3","last_reissued_at":"2026-06-11T01:10:29.810922Z","signature_status":"signed_v1","first_computed_at":"2026-06-11T01:10:29.810922Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2511.11862","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":"2026-06-11T01:10:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pyFsy07tUnT+REmg3aqUn4iEDD/Eq/3nr4FCKoAX34fBcYBz79eXxHfEWMzVvxrrr2oyEX/T1S8AcRSK2rT8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T06:49:23.574911Z"},"content_sha256":"062d12a7b13a26895e96d3c95960b8d7cd1433fd9bd99e7f790ba7f9d68017a8","schema_version":"1.0","event_id":"sha256:062d12a7b13a26895e96d3c95960b8d7cd1433fd9bd99e7f790ba7f9d68017a8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JIDZGZY3SP5KGCJQJBCUWO4ZX4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compound Selection Decisions: An Almost SURE Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.ST","stat.ME","stat.TH"],"primary_cat":"econ.EM","authors_text":"Jiafeng Chen, Lihua Lei, Liyang Sun, Tian Xie, Timothy Sudijono","submitted_at":"2025-11-14T20:45:15Z","abstract_excerpt":"This paper proposes methods for producing compound selection decisions in a Gaussian sequence model. Given unknown, fixed parameters $\\mu_ {1:n}$ and known $\\sigma_{1:n}$ with observations $Y_i \\sim \\textsf{N}(\\mu_i, \\sigma_i^2)$, the decision maker would like to select a subset of indices $S$ so as to maximize utility $\\frac{1}{n}\\sum_{i\\in S} (\\mu_i - K_i)$, for known costs $K_i$. Inspired by Stein's unbiased risk estimate (SURE), we introduce an almost unbiased estimator, called ASSURE, for the expected utility of a proposed decision rule. ASSURE allows a user to choose a welfare-maximizing"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.11862","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/2511.11862/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":"2026-06-11T01:10:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JWQFEQvmAJLCwGEmTsMg5IdkI65JB+0WVfgIXf7rRV973c6Q010ShVBvdUHx6yi4KuvDp/V5BwY9mOxkR708Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-23T06:49:23.575299Z"},"content_sha256":"461105c4b99b21a0cd37ded070bec805588adcaefe5039a6966080941d2e6cf2","schema_version":"1.0","event_id":"sha256:461105c4b99b21a0cd37ded070bec805588adcaefe5039a6966080941d2e6cf2"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JIDZGZY3SP5KGCJQJBCUWO4ZX4/bundle.json","state_url":"https://pith.science/pith/JIDZGZY3SP5KGCJQJBCUWO4ZX4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JIDZGZY3SP5KGCJQJBCUWO4ZX4/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":"2026-06-23T06:49:23Z","links":{"resolver":"https://pith.science/pith/JIDZGZY3SP5KGCJQJBCUWO4ZX4","bundle":"https://pith.science/pith/JIDZGZY3SP5KGCJQJBCUWO4ZX4/bundle.json","state":"https://pith.science/pith/JIDZGZY3SP5KGCJQJBCUWO4ZX4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JIDZGZY3SP5KGCJQJBCUWO4ZX4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JIDZGZY3SP5KGCJQJBCUWO4ZX4","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":"e7f8cd5cf83da31a41ad1366cd93840f74be4d7ab91e7fb7dba5bd81815c83c6","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-11-14T20:45:15Z","title_canon_sha256":"0c65273f5733b091823724c8d7b5504ad791c323b49a5fe2d2c479d733748e9d"},"schema_version":"1.0","source":{"id":"2511.11862","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.11862","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"arxiv_version","alias_value":"2511.11862v2","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.11862","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"pith_short_12","alias_value":"JIDZGZY3SP5K","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"pith_short_16","alias_value":"JIDZGZY3SP5KGCJQ","created_at":"2026-06-11T01:10:29Z"},{"alias_kind":"pith_short_8","alias_value":"JIDZGZY3","created_at":"2026-06-11T01:10:29Z"}],"graph_snapshots":[{"event_id":"sha256:461105c4b99b21a0cd37ded070bec805588adcaefe5039a6966080941d2e6cf2","target":"graph","created_at":"2026-06-11T01:10:29Z","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/2511.11862/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes methods for producing compound selection decisions in a Gaussian sequence model. Given unknown, fixed parameters $\\mu_ {1:n}$ and known $\\sigma_{1:n}$ with observations $Y_i \\sim \\textsf{N}(\\mu_i, \\sigma_i^2)$, the decision maker would like to select a subset of indices $S$ so as to maximize utility $\\frac{1}{n}\\sum_{i\\in S} (\\mu_i - K_i)$, for known costs $K_i$. Inspired by Stein's unbiased risk estimate (SURE), we introduce an almost unbiased estimator, called ASSURE, for the expected utility of a proposed decision rule. ASSURE allows a user to choose a welfare-maximizing","authors_text":"Jiafeng Chen, Lihua Lei, Liyang Sun, Tian Xie, Timothy Sudijono","cross_cats":["math.ST","stat.ME","stat.TH"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-11-14T20:45:15Z","title":"Compound Selection Decisions: An Almost SURE Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.11862","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":"sha256:062d12a7b13a26895e96d3c95960b8d7cd1433fd9bd99e7f790ba7f9d68017a8","target":"record","created_at":"2026-06-11T01:10:29Z","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":"e7f8cd5cf83da31a41ad1366cd93840f74be4d7ab91e7fb7dba5bd81815c83c6","cross_cats_sorted":["math.ST","stat.ME","stat.TH"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"econ.EM","submitted_at":"2025-11-14T20:45:15Z","title_canon_sha256":"0c65273f5733b091823724c8d7b5504ad791c323b49a5fe2d2c479d733748e9d"},"schema_version":"1.0","source":{"id":"2511.11862","kind":"arxiv","version":2}},"canonical_sha256":"4a0793671b93faa3093048454b3b99bf392d39ff2b0b9a2361a4d890a39d7be3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a0793671b93faa3093048454b3b99bf392d39ff2b0b9a2361a4d890a39d7be3","first_computed_at":"2026-06-11T01:10:29.810922Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-11T01:10:29.810922Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KuDz6OyaGTYFa6foUHG2qAfeYEOQWiK3JbnkHhpGehdHGx+vMXSgOazA1jyVP09HGFbuFACnpJ65lOJDUOX/Bg==","signature_status":"signed_v1","signed_at":"2026-06-11T01:10:29.811948Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.11862","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:062d12a7b13a26895e96d3c95960b8d7cd1433fd9bd99e7f790ba7f9d68017a8","sha256:461105c4b99b21a0cd37ded070bec805588adcaefe5039a6966080941d2e6cf2"],"state_sha256":"2df7b9460017727977ff655ac845b7e25a9df4c16d4d665b95805a4f9fa4edcf"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E7bKwLl59W/wuSFLa7VoLb+ezfsxUR8mHZIVfLGwrB6LzYCqvM/I9ZPQ9RzuIc/N/2/uNsSay2oJIUXiirAxCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-23T06:49:23.577359Z","bundle_sha256":"13b1825c6c9cb6a8e8c8fa1ad7d67afb16fd4b77a720dfbd4921b2cc5534fd1b"}}