{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:TPCS6LLWNLSIMWQLUWRTTKGPG5","short_pith_number":"pith:TPCS6LLW","canonical_record":{"source":{"id":"1803.06732","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-18T20:29:02Z","cross_cats_sorted":[],"title_canon_sha256":"2066ed85ab302367745694c597316e3cc362b1b61c859f8cdfa38059230c0b85","abstract_canon_sha256":"7bed994b777b7a3016a4ca6db8ba87a47d2722c60c12e6a52fe58f6b03bc4b72"},"schema_version":"1.0"},"canonical_sha256":"9bc52f2d766ae4865a0ba5a339a8cf374169c990366e0a7c3a18a2ddf901c7cd","source":{"kind":"arxiv","id":"1803.06732","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06732","created_at":"2026-05-18T00:20:45Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06732v1","created_at":"2026-05-18T00:20:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06732","created_at":"2026-05-18T00:20:45Z"},{"alias_kind":"pith_short_12","alias_value":"TPCS6LLWNLSI","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"TPCS6LLWNLSIMWQL","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"TPCS6LLW","created_at":"2026-05-18T12:32:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:TPCS6LLWNLSIMWQLUWRTTKGPG5","target":"record","payload":{"canonical_record":{"source":{"id":"1803.06732","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-18T20:29:02Z","cross_cats_sorted":[],"title_canon_sha256":"2066ed85ab302367745694c597316e3cc362b1b61c859f8cdfa38059230c0b85","abstract_canon_sha256":"7bed994b777b7a3016a4ca6db8ba87a47d2722c60c12e6a52fe58f6b03bc4b72"},"schema_version":"1.0"},"canonical_sha256":"9bc52f2d766ae4865a0ba5a339a8cf374169c990366e0a7c3a18a2ddf901c7cd","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:20:45.152176Z","signature_b64":"il37vExlls9cDkosq+y92n2gCT9LtYbQ7fN/drEFIxthCWsqCfxesErpzVSlUEATZ65aFgfEXiiGPJqWwKsrDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9bc52f2d766ae4865a0ba5a339a8cf374169c990366e0a7c3a18a2ddf901c7cd","last_reissued_at":"2026-05-18T00:20:45.151595Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:20:45.151595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.06732","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":"2026-05-18T00:20:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Pd8e4QO1h9o9yU8+K/aiHjS9Gxenu70cn2rR5+f8Y3/j8LfQHe8UmcBDODBoOZcZdj7sI5vMp7pSVlYuegtFCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T23:29:54.683721Z"},"content_sha256":"66e6aac8f9e10be1ab897013bad4163dc05a48d47f0ed83450ee1451672c4a16","schema_version":"1.0","event_id":"sha256:66e6aac8f9e10be1ab897013bad4163dc05a48d47f0ed83450ee1451672c4a16"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:TPCS6LLWNLSIMWQLUWRTTKGPG5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A class of asymmetric regression models for left-censored data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Helton Saulo, Jeremias Leao, Juvencio Nobre, N. Balakrishnan","submitted_at":"2018-03-18T20:29:02Z","abstract_excerpt":"A common assumption regarding the standard tobit model is the normality of the error distribution. However, asymmetry and bimodality may be present and alternative tobit models must be used. In this paper, we propose a tobit model based on the class of log-symmetric distributions, which includes as special cases heavy and light tailed distributions and bimodal distributions. We implement a likelihood-based approach for parameter estimation and derive a type of residual. We then discuss the problem of performing testing inference in the proposed class by using the likelihood ratio and gradient "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06732","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":"2026-05-18T00:20:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"adwZPZzYTC9aSBxoxIppHorXPpadzfj4dk/xNvIg7eUXP8MbtFkst1XNoyzR9DRB+tA2cq+lMkxV2NX2oyuJDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T23:29:54.684160Z"},"content_sha256":"e40c494a96503dd74e30b522cc79c1bdaaded72b31898872d48956d1c4c607ad","schema_version":"1.0","event_id":"sha256:e40c494a96503dd74e30b522cc79c1bdaaded72b31898872d48956d1c4c607ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/TPCS6LLWNLSIMWQLUWRTTKGPG5/bundle.json","state_url":"https://pith.science/pith/TPCS6LLWNLSIMWQLUWRTTKGPG5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/TPCS6LLWNLSIMWQLUWRTTKGPG5/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":"2026-05-30T23:29:54Z","links":{"resolver":"https://pith.science/pith/TPCS6LLWNLSIMWQLUWRTTKGPG5","bundle":"https://pith.science/pith/TPCS6LLWNLSIMWQLUWRTTKGPG5/bundle.json","state":"https://pith.science/pith/TPCS6LLWNLSIMWQLUWRTTKGPG5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/TPCS6LLWNLSIMWQLUWRTTKGPG5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:TPCS6LLWNLSIMWQLUWRTTKGPG5","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":"7bed994b777b7a3016a4ca6db8ba87a47d2722c60c12e6a52fe58f6b03bc4b72","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-18T20:29:02Z","title_canon_sha256":"2066ed85ab302367745694c597316e3cc362b1b61c859f8cdfa38059230c0b85"},"schema_version":"1.0","source":{"id":"1803.06732","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06732","created_at":"2026-05-18T00:20:45Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06732v1","created_at":"2026-05-18T00:20:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06732","created_at":"2026-05-18T00:20:45Z"},{"alias_kind":"pith_short_12","alias_value":"TPCS6LLWNLSI","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_16","alias_value":"TPCS6LLWNLSIMWQL","created_at":"2026-05-18T12:32:53Z"},{"alias_kind":"pith_short_8","alias_value":"TPCS6LLW","created_at":"2026-05-18T12:32:53Z"}],"graph_snapshots":[{"event_id":"sha256:e40c494a96503dd74e30b522cc79c1bdaaded72b31898872d48956d1c4c607ad","target":"graph","created_at":"2026-05-18T00:20:45Z","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":"A common assumption regarding the standard tobit model is the normality of the error distribution. However, asymmetry and bimodality may be present and alternative tobit models must be used. In this paper, we propose a tobit model based on the class of log-symmetric distributions, which includes as special cases heavy and light tailed distributions and bimodal distributions. We implement a likelihood-based approach for parameter estimation and derive a type of residual. We then discuss the problem of performing testing inference in the proposed class by using the likelihood ratio and gradient ","authors_text":"Helton Saulo, Jeremias Leao, Juvencio Nobre, N. Balakrishnan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-18T20:29:02Z","title":"A class of asymmetric regression models for left-censored data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06732","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":"sha256:66e6aac8f9e10be1ab897013bad4163dc05a48d47f0ed83450ee1451672c4a16","target":"record","created_at":"2026-05-18T00:20:45Z","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":"7bed994b777b7a3016a4ca6db8ba87a47d2722c60c12e6a52fe58f6b03bc4b72","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2018-03-18T20:29:02Z","title_canon_sha256":"2066ed85ab302367745694c597316e3cc362b1b61c859f8cdfa38059230c0b85"},"schema_version":"1.0","source":{"id":"1803.06732","kind":"arxiv","version":1}},"canonical_sha256":"9bc52f2d766ae4865a0ba5a339a8cf374169c990366e0a7c3a18a2ddf901c7cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9bc52f2d766ae4865a0ba5a339a8cf374169c990366e0a7c3a18a2ddf901c7cd","first_computed_at":"2026-05-18T00:20:45.151595Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:20:45.151595Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"il37vExlls9cDkosq+y92n2gCT9LtYbQ7fN/drEFIxthCWsqCfxesErpzVSlUEATZ65aFgfEXiiGPJqWwKsrDg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:20:45.152176Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.06732","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66e6aac8f9e10be1ab897013bad4163dc05a48d47f0ed83450ee1451672c4a16","sha256:e40c494a96503dd74e30b522cc79c1bdaaded72b31898872d48956d1c4c607ad"],"state_sha256":"fbff3ec03df25fbfd54b1b9cb8702ec5c27d7a391cbf86fa2b025b9cc5be2a16"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Li+jEMTOZURn9/TEhHbXNAEFVJaHfjrZs4haj94QLV5nSStvXB3hdxwFrrpJER9kqHNBUXDpBk89RltFAuO+Dg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T23:29:54.687185Z","bundle_sha256":"65042ba126b52093f4bf31542eabc1af8069846128a29f93165de8ad33ee02a0"}}