{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:37662GNUPPBHUUR7I4GQ7W2QZB","short_pith_number":"pith:37662GNU","canonical_record":{"source":{"id":"2504.19924","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-04-28T15:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"a1a24b614c944e0019dda35af9a7d8a46e375ae37cac6e9bb72d3057bcbeb34e","abstract_canon_sha256":"5821b6936548982abf142fb90bbd1f99778f8f7604dac5b2eaa77edf2823462f"},"schema_version":"1.0"},"canonical_sha256":"dffded19b47bc27a523f470d0fdb50c85583e41923f717fa6b172a1f3a93a58d","source":{"kind":"arxiv","id":"2504.19924","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19924","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19924v2","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19924","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"pith_short_12","alias_value":"37662GNUPPBH","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"pith_short_16","alias_value":"37662GNUPPBHUUR7","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"pith_short_8","alias_value":"37662GNU","created_at":"2026-07-05T10:55:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:37662GNUPPBHUUR7I4GQ7W2QZB","target":"record","payload":{"canonical_record":{"source":{"id":"2504.19924","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-04-28T15:58:38Z","cross_cats_sorted":[],"title_canon_sha256":"a1a24b614c944e0019dda35af9a7d8a46e375ae37cac6e9bb72d3057bcbeb34e","abstract_canon_sha256":"5821b6936548982abf142fb90bbd1f99778f8f7604dac5b2eaa77edf2823462f"},"schema_version":"1.0"},"canonical_sha256":"dffded19b47bc27a523f470d0fdb50c85583e41923f717fa6b172a1f3a93a58d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:55:36.190400Z","signature_b64":"S7wphBDNSAqvy6znUSQTUeq8uxTYNLsJKlGGg0NNSo9iOaoYgIf8dlQRPqQDE6REathofdbED7pOBGlktqsJBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dffded19b47bc27a523f470d0fdb50c85583e41923f717fa6b172a1f3a93a58d","last_reissued_at":"2026-07-05T10:55:36.189902Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:55:36.189902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.19924","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":"2026-07-05T10:55:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6oU5qrbg+/Gbjy9hG8r1i/PA5B2sQPS/4nPx+cfP5c+MBQMxU79E3HHfpBeRDOjOMBqh+9ibSNITolVFcIuADA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:26:01.325277Z"},"content_sha256":"1c4e5fad7f0299d1a8e798c91b23745ea6cbf4dc33c91d75ab354801f1644347","schema_version":"1.0","event_id":"sha256:1c4e5fad7f0299d1a8e798c91b23745ea6cbf4dc33c91d75ab354801f1644347"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:37662GNUPPBHUUR7I4GQ7W2QZB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"stat.ME","authors_text":"Hanfang Yang, Hui Zou, Songshan Yang, Yifan Gu","submitted_at":"2025-04-28T15:58:38Z","abstract_excerpt":"In modern data analysis, statistical efficiency improvement is expected via effective collaboration among multiple data holders with non-shared data. In this article, we propose a collaborative score-type test (CST) for testing linear hypotheses, which accommodates potentially high-dimensional nuisance parameters and a diverging number of constraints and target parameters. Through a careful decomposition of the Kiefer-Bahadur representation for the traditional score statistic, we identify and approximate the key components using aggregated local gradient information from each data source. In a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19924","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/2504.19924/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":"2026-07-05T10:55:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RRPCh0tLv35mQFSGiQzo2BQ2DouJoslhsvS1wNwuZwJhwVOx3AMM1w+tLD22Du00wPvakSwbAnMZ1Hz1IG7IDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T02:26:01.325797Z"},"content_sha256":"30f0c81e5f7cf2fd66a8f8dbbc167b6fdf8518777f755e978aa8b3f8b2f8a0df","schema_version":"1.0","event_id":"sha256:30f0c81e5f7cf2fd66a8f8dbbc167b6fdf8518777f755e978aa8b3f8b2f8a0df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/37662GNUPPBHUUR7I4GQ7W2QZB/bundle.json","state_url":"https://pith.science/pith/37662GNUPPBHUUR7I4GQ7W2QZB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/37662GNUPPBHUUR7I4GQ7W2QZB/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":"2026-08-20T02:26:01Z","links":{"resolver":"https://pith.science/pith/37662GNUPPBHUUR7I4GQ7W2QZB","bundle":"https://pith.science/pith/37662GNUPPBHUUR7I4GQ7W2QZB/bundle.json","state":"https://pith.science/pith/37662GNUPPBHUUR7I4GQ7W2QZB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/37662GNUPPBHUUR7I4GQ7W2QZB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:37662GNUPPBHUUR7I4GQ7W2QZB","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":"5821b6936548982abf142fb90bbd1f99778f8f7604dac5b2eaa77edf2823462f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-04-28T15:58:38Z","title_canon_sha256":"a1a24b614c944e0019dda35af9a7d8a46e375ae37cac6e9bb72d3057bcbeb34e"},"schema_version":"1.0","source":{"id":"2504.19924","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19924","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19924v2","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19924","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"pith_short_12","alias_value":"37662GNUPPBH","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"pith_short_16","alias_value":"37662GNUPPBHUUR7","created_at":"2026-07-05T10:55:36Z"},{"alias_kind":"pith_short_8","alias_value":"37662GNU","created_at":"2026-07-05T10:55:36Z"}],"graph_snapshots":[{"event_id":"sha256:30f0c81e5f7cf2fd66a8f8dbbc167b6fdf8518777f755e978aa8b3f8b2f8a0df","target":"graph","created_at":"2026-07-05T10:55:36Z","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/2504.19924/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In modern data analysis, statistical efficiency improvement is expected via effective collaboration among multiple data holders with non-shared data. In this article, we propose a collaborative score-type test (CST) for testing linear hypotheses, which accommodates potentially high-dimensional nuisance parameters and a diverging number of constraints and target parameters. Through a careful decomposition of the Kiefer-Bahadur representation for the traditional score statistic, we identify and approximate the key components using aggregated local gradient information from each data source. In a","authors_text":"Hanfang Yang, Hui Zou, Songshan Yang, Yifan Gu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-04-28T15:58:38Z","title":"Collaborative Inference for Sparse High-Dimensional Models with Non-Shared Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19924","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":"sha256:1c4e5fad7f0299d1a8e798c91b23745ea6cbf4dc33c91d75ab354801f1644347","target":"record","created_at":"2026-07-05T10:55:36Z","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":"5821b6936548982abf142fb90bbd1f99778f8f7604dac5b2eaa77edf2823462f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-04-28T15:58:38Z","title_canon_sha256":"a1a24b614c944e0019dda35af9a7d8a46e375ae37cac6e9bb72d3057bcbeb34e"},"schema_version":"1.0","source":{"id":"2504.19924","kind":"arxiv","version":2}},"canonical_sha256":"dffded19b47bc27a523f470d0fdb50c85583e41923f717fa6b172a1f3a93a58d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dffded19b47bc27a523f470d0fdb50c85583e41923f717fa6b172a1f3a93a58d","first_computed_at":"2026-07-05T10:55:36.189902Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:55:36.189902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"S7wphBDNSAqvy6znUSQTUeq8uxTYNLsJKlGGg0NNSo9iOaoYgIf8dlQRPqQDE6REathofdbED7pOBGlktqsJBw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:55:36.190400Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.19924","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1c4e5fad7f0299d1a8e798c91b23745ea6cbf4dc33c91d75ab354801f1644347","sha256:30f0c81e5f7cf2fd66a8f8dbbc167b6fdf8518777f755e978aa8b3f8b2f8a0df"],"state_sha256":"803c9bdf4de945587508f3d15c78ece99be38d2a7da947618639fbd88e0d90ae"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TtLFdJcRc7fN/dGnAf1xHG2xsFMy9qnP0CoBJud+jZexlnSuPXTnIMhN/dzZ5AjjptvDSfK+17pFSapSrVaYCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T02:26:01.331351Z","bundle_sha256":"ed5ec636c89cf04ca2b63738afac20645d343a00cc191e0450ba8a0cecf05c69"}}