{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:WHLM27FUR2ZG3IJJFKOYT62EOZ","short_pith_number":"pith:WHLM27FU","canonical_record":{"source":{"id":"1705.03827","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-10T15:47:08Z","cross_cats_sorted":[],"title_canon_sha256":"195fb7e7d73906ecb95ce453d7a0c7d0fd4088f913cdc7a13339cab2f0f22df7","abstract_canon_sha256":"0a505ab1976b1e1d40c6f1a3921737005060132616775eeeb1bfe12faeb2bd10"},"schema_version":"1.0"},"canonical_sha256":"b1d6cd7cb48eb26da1292a9d89fb4476471c1e0770ef770a6927cc853dfa94b2","source":{"kind":"arxiv","id":"1705.03827","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.03827","created_at":"2026-05-18T00:39:56Z"},{"alias_kind":"arxiv_version","alias_value":"1705.03827v2","created_at":"2026-05-18T00:39:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.03827","created_at":"2026-05-18T00:39:56Z"},{"alias_kind":"pith_short_12","alias_value":"WHLM27FUR2ZG","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WHLM27FUR2ZG3IJJ","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WHLM27FU","created_at":"2026-05-18T12:31:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:WHLM27FUR2ZG3IJJFKOYT62EOZ","target":"record","payload":{"canonical_record":{"source":{"id":"1705.03827","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-10T15:47:08Z","cross_cats_sorted":[],"title_canon_sha256":"195fb7e7d73906ecb95ce453d7a0c7d0fd4088f913cdc7a13339cab2f0f22df7","abstract_canon_sha256":"0a505ab1976b1e1d40c6f1a3921737005060132616775eeeb1bfe12faeb2bd10"},"schema_version":"1.0"},"canonical_sha256":"b1d6cd7cb48eb26da1292a9d89fb4476471c1e0770ef770a6927cc853dfa94b2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:39:56.485294Z","signature_b64":"5d9TO5gFCO5aY5NEZ1GLkuuSOLKyGYZWvBkc3jFi1UMosIhUYnQzZ4zsh9hZsydkZUJG8rXtKnfzMgoUjMDABQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b1d6cd7cb48eb26da1292a9d89fb4476471c1e0770ef770a6927cc853dfa94b2","last_reissued_at":"2026-05-18T00:39:56.484736Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:39:56.484736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1705.03827","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":"2026-05-18T00:39:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0/RNNXIrJ1D3ZlyXOMoXsig2CkpiTqdgTJdaUin2HE0yaB9NpyZPLGd3P+R9a9vK+cEr5gV3fCidSf6E2unUCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T07:29:18.216020Z"},"content_sha256":"01859a9b3912a0933eeb8991daa8199f03dd1049a0c49b805588432abdd69874","schema_version":"1.0","event_id":"sha256:01859a9b3912a0933eeb8991daa8199f03dd1049a0c49b805588432abdd69874"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:WHLM27FUR2ZG3IJJFKOYT62EOZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A unified principled framework for resampling based on pseudo-populations: asymptotic theory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Daniela Marella, Federico Andreis, Fulvia Mecatti, Pier Luigi Conti","submitted_at":"2017-05-10T15:47:08Z","abstract_excerpt":"In this paper, a class of resampling techniques for finite populations under complex sampling design is introduced. The basic idea on which it rests is a two-step procedure consisting in : (i) constructing a pseudo-population on the basis of sample data; (ii) drawing a sample from the predicted population according to an appropriate resampling design. From a logical point of view, this approach is essentially based on the plug-in principle by Efron, at the \"sampling design level\". Theoretical justifications based on large sample theory are provided. New approaches to construct pseudo-populatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.03827","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":""},"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":"2026-05-18T00:39:56Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1et7IklbIYiteSrY8BvLRSE3zmoPpifPpGv3Prxr/OoYwVI8y4KpdTUOzl9e5DNHPH88cWde2EbPojGrg1AvBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-26T07:29:18.216381Z"},"content_sha256":"721c573cb654902baac805b97467e869e44851fa6a692da4a12e0d686717c357","schema_version":"1.0","event_id":"sha256:721c573cb654902baac805b97467e869e44851fa6a692da4a12e0d686717c357"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WHLM27FUR2ZG3IJJFKOYT62EOZ/bundle.json","state_url":"https://pith.science/pith/WHLM27FUR2ZG3IJJFKOYT62EOZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WHLM27FUR2ZG3IJJFKOYT62EOZ/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":"2026-06-26T07:29:18Z","links":{"resolver":"https://pith.science/pith/WHLM27FUR2ZG3IJJFKOYT62EOZ","bundle":"https://pith.science/pith/WHLM27FUR2ZG3IJJFKOYT62EOZ/bundle.json","state":"https://pith.science/pith/WHLM27FUR2ZG3IJJFKOYT62EOZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WHLM27FUR2ZG3IJJFKOYT62EOZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:WHLM27FUR2ZG3IJJFKOYT62EOZ","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":"0a505ab1976b1e1d40c6f1a3921737005060132616775eeeb1bfe12faeb2bd10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-10T15:47:08Z","title_canon_sha256":"195fb7e7d73906ecb95ce453d7a0c7d0fd4088f913cdc7a13339cab2f0f22df7"},"schema_version":"1.0","source":{"id":"1705.03827","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1705.03827","created_at":"2026-05-18T00:39:56Z"},{"alias_kind":"arxiv_version","alias_value":"1705.03827v2","created_at":"2026-05-18T00:39:56Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1705.03827","created_at":"2026-05-18T00:39:56Z"},{"alias_kind":"pith_short_12","alias_value":"WHLM27FUR2ZG","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_16","alias_value":"WHLM27FUR2ZG3IJJ","created_at":"2026-05-18T12:31:53Z"},{"alias_kind":"pith_short_8","alias_value":"WHLM27FU","created_at":"2026-05-18T12:31:53Z"}],"graph_snapshots":[{"event_id":"sha256:721c573cb654902baac805b97467e869e44851fa6a692da4a12e0d686717c357","target":"graph","created_at":"2026-05-18T00:39:56Z","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":"In this paper, a class of resampling techniques for finite populations under complex sampling design is introduced. The basic idea on which it rests is a two-step procedure consisting in : (i) constructing a pseudo-population on the basis of sample data; (ii) drawing a sample from the predicted population according to an appropriate resampling design. From a logical point of view, this approach is essentially based on the plug-in principle by Efron, at the \"sampling design level\". Theoretical justifications based on large sample theory are provided. New approaches to construct pseudo-populatio","authors_text":"Daniela Marella, Federico Andreis, Fulvia Mecatti, Pier Luigi Conti","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-10T15:47:08Z","title":"A unified principled framework for resampling based on pseudo-populations: asymptotic theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1705.03827","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":"sha256:01859a9b3912a0933eeb8991daa8199f03dd1049a0c49b805588432abdd69874","target":"record","created_at":"2026-05-18T00:39:56Z","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":"0a505ab1976b1e1d40c6f1a3921737005060132616775eeeb1bfe12faeb2bd10","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2017-05-10T15:47:08Z","title_canon_sha256":"195fb7e7d73906ecb95ce453d7a0c7d0fd4088f913cdc7a13339cab2f0f22df7"},"schema_version":"1.0","source":{"id":"1705.03827","kind":"arxiv","version":2}},"canonical_sha256":"b1d6cd7cb48eb26da1292a9d89fb4476471c1e0770ef770a6927cc853dfa94b2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1d6cd7cb48eb26da1292a9d89fb4476471c1e0770ef770a6927cc853dfa94b2","first_computed_at":"2026-05-18T00:39:56.484736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:39:56.484736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"5d9TO5gFCO5aY5NEZ1GLkuuSOLKyGYZWvBkc3jFi1UMosIhUYnQzZ4zsh9hZsydkZUJG8rXtKnfzMgoUjMDABQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:39:56.485294Z","signed_message":"canonical_sha256_bytes"},"source_id":"1705.03827","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01859a9b3912a0933eeb8991daa8199f03dd1049a0c49b805588432abdd69874","sha256:721c573cb654902baac805b97467e869e44851fa6a692da4a12e0d686717c357"],"state_sha256":"47eb78695bc7c221dd352c8d32801c9b02da9f6d98dec0a5ccdca614117f30da"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"61eaTZCV9YIgadm2gCKXZSjH55ZN4ur7mpZNwern13xrK2vrCDgJu1X9zVoIczODKm2hoU2EKxX+HfJvLKh9Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-26T07:29:18.218268Z","bundle_sha256":"3a3da7682cb439dd8d5cf46313a42ff6a9fbc81d3c34cc51b64ebd2a4550f3ee"}}