{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2014:BFFGZGDGL76SI66ZNGLTWGTB5Y","short_pith_number":"pith:BFFGZGDG","canonical_record":{"source":{"id":"1408.3237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-08-14T09:59:05Z","cross_cats_sorted":[],"title_canon_sha256":"4f4793a084aec5a0e4d80b6f08d5be603f4b31cd854ead1f248e998e34dfc28e","abstract_canon_sha256":"c85bd3ef63a27bc04566c177767072f4986c696bd37f2cc336e48112f9dfe32c"},"schema_version":"1.0"},"canonical_sha256":"094a6c98665ffd247bd969973b1a61ee225b6773394e69556d7ad44d22fedcb5","source":{"kind":"arxiv","id":"1408.3237","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.3237","created_at":"2026-05-18T02:45:13Z"},{"alias_kind":"arxiv_version","alias_value":"1408.3237v1","created_at":"2026-05-18T02:45:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.3237","created_at":"2026-05-18T02:45:13Z"},{"alias_kind":"pith_short_12","alias_value":"BFFGZGDGL76S","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"BFFGZGDGL76SI66Z","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"BFFGZGDG","created_at":"2026-05-18T12:28:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2014:BFFGZGDGL76SI66ZNGLTWGTB5Y","target":"record","payload":{"canonical_record":{"source":{"id":"1408.3237","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-08-14T09:59:05Z","cross_cats_sorted":[],"title_canon_sha256":"4f4793a084aec5a0e4d80b6f08d5be603f4b31cd854ead1f248e998e34dfc28e","abstract_canon_sha256":"c85bd3ef63a27bc04566c177767072f4986c696bd37f2cc336e48112f9dfe32c"},"schema_version":"1.0"},"canonical_sha256":"094a6c98665ffd247bd969973b1a61ee225b6773394e69556d7ad44d22fedcb5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:45:13.456040Z","signature_b64":"O4a/ye2Qqk1lJsA2pI3lFzD6vFSmnyGseUXmjo3sZ+8ozREApsPpL33Xd3SSBTBYRkvGCJrtmKWfNHHd0sp4DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"094a6c98665ffd247bd969973b1a61ee225b6773394e69556d7ad44d22fedcb5","last_reissued_at":"2026-05-18T02:45:13.455290Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:45:13.455290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1408.3237","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":"2026-05-18T02:45:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5yOSluyuxgDUgzXnU/q1TjBuyX5qrhx3kWmG6AFXLhI3C3GG19VVA6NaFV5iu0hl5zpkOdWjf/X4cNHuvxhcAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:25:25.463267Z"},"content_sha256":"0d730961e2be51e089a62be90c24e9b730bc39f7165a72529ac58f9b77317856","schema_version":"1.0","event_id":"sha256:0d730961e2be51e089a62be90c24e9b730bc39f7165a72529ac58f9b77317856"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2014:BFFGZGDGL76SI66ZNGLTWGTB5Y","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A new distribution for robust least squares","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Dan Jackson, Rose Baker","submitted_at":"2014-08-14T09:59:05Z","abstract_excerpt":"A new distribution is introduced, which we call the twin-t distribution. This distribution is heavy-tailed like the t distribution, but closer to normality in the central part of the curve. Its properties are described, e.g. the pdf, the distribution function, moments, and random number generation. This distribution could have many applications, but here we focus on its use as an aid to robustness. We give examples of its application in robust regression and in curve fitting. Extensions such as skew and multivariate twin-t distributions, and a twin of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.3237","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":"2026-05-18T02:45:13Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UZHgUj/7Gys/lydNpTWn/45RCF6Dyv9twTuY1fwEPVzRnBqYDiWT7iWbjXhnV2HzdqwxV+DuVcJon6lzGVElCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-09T06:25:25.464006Z"},"content_sha256":"91b937a65295906508146bc53246d50ce0054855564c1de5bdca2db38849f94f","schema_version":"1.0","event_id":"sha256:91b937a65295906508146bc53246d50ce0054855564c1de5bdca2db38849f94f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BFFGZGDGL76SI66ZNGLTWGTB5Y/bundle.json","state_url":"https://pith.science/pith/BFFGZGDGL76SI66ZNGLTWGTB5Y/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BFFGZGDGL76SI66ZNGLTWGTB5Y/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":"2026-06-09T06:25:25Z","links":{"resolver":"https://pith.science/pith/BFFGZGDGL76SI66ZNGLTWGTB5Y","bundle":"https://pith.science/pith/BFFGZGDGL76SI66ZNGLTWGTB5Y/bundle.json","state":"https://pith.science/pith/BFFGZGDGL76SI66ZNGLTWGTB5Y/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BFFGZGDGL76SI66ZNGLTWGTB5Y/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2014:BFFGZGDGL76SI66ZNGLTWGTB5Y","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":"c85bd3ef63a27bc04566c177767072f4986c696bd37f2cc336e48112f9dfe32c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-08-14T09:59:05Z","title_canon_sha256":"4f4793a084aec5a0e4d80b6f08d5be603f4b31cd854ead1f248e998e34dfc28e"},"schema_version":"1.0","source":{"id":"1408.3237","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1408.3237","created_at":"2026-05-18T02:45:13Z"},{"alias_kind":"arxiv_version","alias_value":"1408.3237v1","created_at":"2026-05-18T02:45:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1408.3237","created_at":"2026-05-18T02:45:13Z"},{"alias_kind":"pith_short_12","alias_value":"BFFGZGDGL76S","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_16","alias_value":"BFFGZGDGL76SI66Z","created_at":"2026-05-18T12:28:22Z"},{"alias_kind":"pith_short_8","alias_value":"BFFGZGDG","created_at":"2026-05-18T12:28:22Z"}],"graph_snapshots":[{"event_id":"sha256:91b937a65295906508146bc53246d50ce0054855564c1de5bdca2db38849f94f","target":"graph","created_at":"2026-05-18T02:45:13Z","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 new distribution is introduced, which we call the twin-t distribution. This distribution is heavy-tailed like the t distribution, but closer to normality in the central part of the curve. Its properties are described, e.g. the pdf, the distribution function, moments, and random number generation. This distribution could have many applications, but here we focus on its use as an aid to robustness. We give examples of its application in robust regression and in curve fitting. Extensions such as skew and multivariate twin-t distributions, and a twin of","authors_text":"Dan Jackson, Rose Baker","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-08-14T09:59:05Z","title":"A new distribution for robust least squares"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1408.3237","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":"sha256:0d730961e2be51e089a62be90c24e9b730bc39f7165a72529ac58f9b77317856","target":"record","created_at":"2026-05-18T02:45:13Z","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":"c85bd3ef63a27bc04566c177767072f4986c696bd37f2cc336e48112f9dfe32c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2014-08-14T09:59:05Z","title_canon_sha256":"4f4793a084aec5a0e4d80b6f08d5be603f4b31cd854ead1f248e998e34dfc28e"},"schema_version":"1.0","source":{"id":"1408.3237","kind":"arxiv","version":1}},"canonical_sha256":"094a6c98665ffd247bd969973b1a61ee225b6773394e69556d7ad44d22fedcb5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"094a6c98665ffd247bd969973b1a61ee225b6773394e69556d7ad44d22fedcb5","first_computed_at":"2026-05-18T02:45:13.455290Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:45:13.455290Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"O4a/ye2Qqk1lJsA2pI3lFzD6vFSmnyGseUXmjo3sZ+8ozREApsPpL33Xd3SSBTBYRkvGCJrtmKWfNHHd0sp4DA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:45:13.456040Z","signed_message":"canonical_sha256_bytes"},"source_id":"1408.3237","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0d730961e2be51e089a62be90c24e9b730bc39f7165a72529ac58f9b77317856","sha256:91b937a65295906508146bc53246d50ce0054855564c1de5bdca2db38849f94f"],"state_sha256":"72866ec88700675006e46bba4630ab8beae1fc383b0a0abedbd11bc92ed2b956"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"39+mXAabnNzcSb6BRKHHcIzsUzEutrIcnEs/bFS+tYB0vgdvNVer848CaashGXBFifHB0qvF5wjWlevq/wOkDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-09T06:25:25.468096Z","bundle_sha256":"53afd59574a5d7e755dba1b0c167eead6d956b5370445376629df751f0fb9288"}}