{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:S33N245G3BZJGLHFZQGDUQZ46A","short_pith_number":"pith:S33N245G","canonical_record":{"source":{"id":"1902.00653","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-02-02T06:55:59Z","cross_cats_sorted":["stat.ME","stat.TH"],"title_canon_sha256":"a143438faf5d3b0dc98faad81dad0908174151c8267d26c8b71ec9cb82fa05ee","abstract_canon_sha256":"aea59401b1bd88fe1a242b87bd8c71206503af848fd8fff4f7fbd0b32ade2001"},"schema_version":"1.0"},"canonical_sha256":"96f6dd73a6d872932ce5cc0c3a433cf03e7bd2ac4184679e6760a5f991820886","source":{"kind":"arxiv","id":"1902.00653","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00653","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00653v1","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00653","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"S33N245G3BZJ","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"S33N245G3BZJGLHF","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"S33N245G","created_at":"2026-05-18T12:33:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:S33N245G3BZJGLHFZQGDUQZ46A","target":"record","payload":{"canonical_record":{"source":{"id":"1902.00653","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-02-02T06:55:59Z","cross_cats_sorted":["stat.ME","stat.TH"],"title_canon_sha256":"a143438faf5d3b0dc98faad81dad0908174151c8267d26c8b71ec9cb82fa05ee","abstract_canon_sha256":"aea59401b1bd88fe1a242b87bd8c71206503af848fd8fff4f7fbd0b32ade2001"},"schema_version":"1.0"},"canonical_sha256":"96f6dd73a6d872932ce5cc0c3a433cf03e7bd2ac4184679e6760a5f991820886","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:54:52.544273Z","signature_b64":"mREQJHuSOY3mSWYbgQqzV4URRCi/fFPQjdLz8HzsiA3/5cGOKTCm2uvJB3WoXZyNx3LTC1xEPGUJDqGdz7wmCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96f6dd73a6d872932ce5cc0c3a433cf03e7bd2ac4184679e6760a5f991820886","last_reissued_at":"2026-05-17T23:54:52.543685Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:54:52.543685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1902.00653","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":"2026-05-17T23:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qtp5lt+Y7mVKeOFsTUCGdYzLHR+XZvKnI2feW5hNfdJWTXE1qcOXAV74JYeFhJSGIDl0VZzkMzTSP3KSIp50AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T10:42:17.736577Z"},"content_sha256":"cad7bc97131e741cb3a76aba22705aad518e35eb472a0bac630fa586ac10e096","schema_version":"1.0","event_id":"sha256:cad7bc97131e741cb3a76aba22705aad518e35eb472a0bac630fa586ac10e096"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:S33N245G3BZJGLHFZQGDUQZ46A","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"On asymptotically efficient maximum likelihood estimation of linear functionals in Laplace measurement error models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME","stat.TH"],"primary_cat":"math.ST","authors_text":"Catia Scricciolo","submitted_at":"2019-02-02T06:55:59Z","abstract_excerpt":"Maximum likelihood estimation of linear functionals in the inverse problem of deconvolution is considered. Given observations of a random sample from a distribution $P_0\\equiv P_{F_0}$ indexed by a (potentially infinite-dimensional) parameter $F_0$, which is the distribution of the latent variable in a standard additive Laplace measurement error model, one wants to estimate a linear functional of $F_0$. Asymptotically efficient maximum likelihood estimation (MLE) of integral linear functionals of the mixing distribution $F_0$ in a convolution model with the Laplace kernel density is investigat"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00653","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":"2026-05-17T23:54:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"X2COw0OUel7qY41raZo8rAVbnSCiDGqXIPrwfaWIsf4+/fz9xlpRAJcaQ1L+BuPFPnY91I+GXPVzRpjoTjRgCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-22T10:42:17.737120Z"},"content_sha256":"f2d5598071e3369cbc4f17ef322cbba4d5925ca57c33839066f827c1a5bf55e4","schema_version":"1.0","event_id":"sha256:f2d5598071e3369cbc4f17ef322cbba4d5925ca57c33839066f827c1a5bf55e4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S33N245G3BZJGLHFZQGDUQZ46A/bundle.json","state_url":"https://pith.science/pith/S33N245G3BZJGLHFZQGDUQZ46A/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S33N245G3BZJGLHFZQGDUQZ46A/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":"2026-06-22T10:42:17Z","links":{"resolver":"https://pith.science/pith/S33N245G3BZJGLHFZQGDUQZ46A","bundle":"https://pith.science/pith/S33N245G3BZJGLHFZQGDUQZ46A/bundle.json","state":"https://pith.science/pith/S33N245G3BZJGLHFZQGDUQZ46A/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S33N245G3BZJGLHFZQGDUQZ46A/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:S33N245G3BZJGLHFZQGDUQZ46A","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":"aea59401b1bd88fe1a242b87bd8c71206503af848fd8fff4f7fbd0b32ade2001","cross_cats_sorted":["stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-02-02T06:55:59Z","title_canon_sha256":"a143438faf5d3b0dc98faad81dad0908174151c8267d26c8b71ec9cb82fa05ee"},"schema_version":"1.0","source":{"id":"1902.00653","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1902.00653","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"arxiv_version","alias_value":"1902.00653v1","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1902.00653","created_at":"2026-05-17T23:54:52Z"},{"alias_kind":"pith_short_12","alias_value":"S33N245G3BZJ","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_16","alias_value":"S33N245G3BZJGLHF","created_at":"2026-05-18T12:33:27Z"},{"alias_kind":"pith_short_8","alias_value":"S33N245G","created_at":"2026-05-18T12:33:27Z"}],"graph_snapshots":[{"event_id":"sha256:f2d5598071e3369cbc4f17ef322cbba4d5925ca57c33839066f827c1a5bf55e4","target":"graph","created_at":"2026-05-17T23:54:52Z","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":"Maximum likelihood estimation of linear functionals in the inverse problem of deconvolution is considered. Given observations of a random sample from a distribution $P_0\\equiv P_{F_0}$ indexed by a (potentially infinite-dimensional) parameter $F_0$, which is the distribution of the latent variable in a standard additive Laplace measurement error model, one wants to estimate a linear functional of $F_0$. Asymptotically efficient maximum likelihood estimation (MLE) of integral linear functionals of the mixing distribution $F_0$ in a convolution model with the Laplace kernel density is investigat","authors_text":"Catia Scricciolo","cross_cats":["stat.ME","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-02-02T06:55:59Z","title":"On asymptotically efficient maximum likelihood estimation of linear functionals in Laplace measurement error models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1902.00653","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:cad7bc97131e741cb3a76aba22705aad518e35eb472a0bac630fa586ac10e096","target":"record","created_at":"2026-05-17T23:54:52Z","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":"aea59401b1bd88fe1a242b87bd8c71206503af848fd8fff4f7fbd0b32ade2001","cross_cats_sorted":["stat.ME","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.ST","submitted_at":"2019-02-02T06:55:59Z","title_canon_sha256":"a143438faf5d3b0dc98faad81dad0908174151c8267d26c8b71ec9cb82fa05ee"},"schema_version":"1.0","source":{"id":"1902.00653","kind":"arxiv","version":1}},"canonical_sha256":"96f6dd73a6d872932ce5cc0c3a433cf03e7bd2ac4184679e6760a5f991820886","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96f6dd73a6d872932ce5cc0c3a433cf03e7bd2ac4184679e6760a5f991820886","first_computed_at":"2026-05-17T23:54:52.543685Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:54:52.543685Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mREQJHuSOY3mSWYbgQqzV4URRCi/fFPQjdLz8HzsiA3/5cGOKTCm2uvJB3WoXZyNx3LTC1xEPGUJDqGdz7wmCw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:54:52.544273Z","signed_message":"canonical_sha256_bytes"},"source_id":"1902.00653","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cad7bc97131e741cb3a76aba22705aad518e35eb472a0bac630fa586ac10e096","sha256:f2d5598071e3369cbc4f17ef322cbba4d5925ca57c33839066f827c1a5bf55e4"],"state_sha256":"1a2ea9b27b8120b2098d628d1deb441844ffab6f02d136c512fa7f1afe5a3c6e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6yys18zvsXr94H1f1mzKDwde67g5A8axhISW27aKXbDa+05KE60HGC/Cb8Jn6/AJF5DOjaus6/t2waWUmfjXDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-22T10:42:17.739500Z","bundle_sha256":"7817b8df66c6d5b594c02e39c116d7f1a1c878d947d084533248d47dab1e72c1"}}