{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2009:3HIL2DFVME5QV5THR6K3FGHRMF","short_pith_number":"pith:3HIL2DFV","canonical_record":{"source":{"id":"0907.0783","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2009-07-04T18:35:52Z","cross_cats_sorted":[],"title_canon_sha256":"bbac0984a0190dbe1c60f2977b7d2551f724b3e3b0903c49c792794a9696d5e8","abstract_canon_sha256":"ee3c85571e7336651f5e2e48174aa1dc612ada25bb79302e13982171ee17755f"},"schema_version":"1.0"},"canonical_sha256":"d9d0bd0cb5613b0af6678f95b298f16153845ece49da97bd89f39ce84216116c","source":{"kind":"arxiv","id":"0907.0783","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0907.0783","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"arxiv_version","alias_value":"0907.0783v1","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0907.0783","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"pith_short_12","alias_value":"3HIL2DFVME5Q","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"pith_short_16","alias_value":"3HIL2DFVME5QV5TH","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"pith_short_8","alias_value":"3HIL2DFV","created_at":"2026-07-04T15:45:32Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2009:3HIL2DFVME5QV5THR6K3FGHRMF","target":"record","payload":{"canonical_record":{"source":{"id":"0907.0783","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2009-07-04T18:35:52Z","cross_cats_sorted":[],"title_canon_sha256":"bbac0984a0190dbe1c60f2977b7d2551f724b3e3b0903c49c792794a9696d5e8","abstract_canon_sha256":"ee3c85571e7336651f5e2e48174aa1dc612ada25bb79302e13982171ee17755f"},"schema_version":"1.0"},"canonical_sha256":"d9d0bd0cb5613b0af6678f95b298f16153845ece49da97bd89f39ce84216116c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-04T15:45:32.327751Z","signature_b64":"EMTQ2iRBLCpptC9kz/1JDpDkX0oGX7kfqqmsrWYXZple94pHKukGfza7OF5kYj2VihaiGZ6BVOB8PVOjNClsAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d9d0bd0cb5613b0af6678f95b298f16153845ece49da97bd89f39ce84216116c","last_reissued_at":"2026-07-04T15:45:32.327405Z","signature_status":"signed_v1","first_computed_at":"2026-07-04T15:45:32.327405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"0907.0783","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":"2026-07-04T15:45:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cG8uW5OoiXM1Qfi0dkB5Q/uTe4exL1XIfXMHI2kfgRc/gFi3i5GqOSCQ8D8fpnEER3j5jM0p4zPq+AmvZsNUDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:02:26.468305Z"},"content_sha256":"d924268862040d3279e1e5b4f2483729a9d8d770d542a84052bf394e4268666d","schema_version":"1.0","event_id":"sha256:d924268862040d3279e1e5b4f2483729a9d8d770d542a84052bf394e4268666d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2009:3HIL2DFVME5QV5THR6K3FGHRMF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bayesian Multitask Learning with Latent Hierarchies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Hal Daum\\'e III","submitted_at":"2009-07-04T18:35:52Z","abstract_excerpt":"We learn multiple hypotheses for related tasks under a latent hierarchical relationship between tasks. We exploit the intuition that for domain adaptation, we wish to share classifier structure, but for multitask learning, we wish to share covariance structure. Our hierarchical model is seen to subsume several previously proposed multitask learning models and performs well on three distinct real-world data sets."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0907.0783","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/0907.0783/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":"2026-07-04T15:45:32Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hV1OVGuQK47KBevI5IiGPXQRvwZPNFvzduXtILvIOdB14Iluuxrw64pDjLvGswXoVEEZEcKkMVSFo6k5BMz3Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T22:02:26.468802Z"},"content_sha256":"1528e57a001a6b0834f06f396e9449482f26a4c3ffac04634b4775d96c163573","schema_version":"1.0","event_id":"sha256:1528e57a001a6b0834f06f396e9449482f26a4c3ffac04634b4775d96c163573"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3HIL2DFVME5QV5THR6K3FGHRMF/bundle.json","state_url":"https://pith.science/pith/3HIL2DFVME5QV5THR6K3FGHRMF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3HIL2DFVME5QV5THR6K3FGHRMF/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":"2026-08-08T22:02:26Z","links":{"resolver":"https://pith.science/pith/3HIL2DFVME5QV5THR6K3FGHRMF","bundle":"https://pith.science/pith/3HIL2DFVME5QV5THR6K3FGHRMF/bundle.json","state":"https://pith.science/pith/3HIL2DFVME5QV5THR6K3FGHRMF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3HIL2DFVME5QV5THR6K3FGHRMF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2009:3HIL2DFVME5QV5THR6K3FGHRMF","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":"ee3c85571e7336651f5e2e48174aa1dc612ada25bb79302e13982171ee17755f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2009-07-04T18:35:52Z","title_canon_sha256":"bbac0984a0190dbe1c60f2977b7d2551f724b3e3b0903c49c792794a9696d5e8"},"schema_version":"1.0","source":{"id":"0907.0783","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"0907.0783","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"arxiv_version","alias_value":"0907.0783v1","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.0907.0783","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"pith_short_12","alias_value":"3HIL2DFVME5Q","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"pith_short_16","alias_value":"3HIL2DFVME5QV5TH","created_at":"2026-07-04T15:45:32Z"},{"alias_kind":"pith_short_8","alias_value":"3HIL2DFV","created_at":"2026-07-04T15:45:32Z"}],"graph_snapshots":[{"event_id":"sha256:1528e57a001a6b0834f06f396e9449482f26a4c3ffac04634b4775d96c163573","target":"graph","created_at":"2026-07-04T15:45:32Z","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/0907.0783/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We learn multiple hypotheses for related tasks under a latent hierarchical relationship between tasks. We exploit the intuition that for domain adaptation, we wish to share classifier structure, but for multitask learning, we wish to share covariance structure. Our hierarchical model is seen to subsume several previously proposed multitask learning models and performs well on three distinct real-world data sets.","authors_text":"Hal Daum\\'e III","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2009-07-04T18:35:52Z","title":"Bayesian Multitask Learning with Latent Hierarchies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"0907.0783","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:d924268862040d3279e1e5b4f2483729a9d8d770d542a84052bf394e4268666d","target":"record","created_at":"2026-07-04T15:45:32Z","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":"ee3c85571e7336651f5e2e48174aa1dc612ada25bb79302e13982171ee17755f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2009-07-04T18:35:52Z","title_canon_sha256":"bbac0984a0190dbe1c60f2977b7d2551f724b3e3b0903c49c792794a9696d5e8"},"schema_version":"1.0","source":{"id":"0907.0783","kind":"arxiv","version":1}},"canonical_sha256":"d9d0bd0cb5613b0af6678f95b298f16153845ece49da97bd89f39ce84216116c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d9d0bd0cb5613b0af6678f95b298f16153845ece49da97bd89f39ce84216116c","first_computed_at":"2026-07-04T15:45:32.327405Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T15:45:32.327405Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EMTQ2iRBLCpptC9kz/1JDpDkX0oGX7kfqqmsrWYXZple94pHKukGfza7OF5kYj2VihaiGZ6BVOB8PVOjNClsAw==","signature_status":"signed_v1","signed_at":"2026-07-04T15:45:32.327751Z","signed_message":"canonical_sha256_bytes"},"source_id":"0907.0783","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d924268862040d3279e1e5b4f2483729a9d8d770d542a84052bf394e4268666d","sha256:1528e57a001a6b0834f06f396e9449482f26a4c3ffac04634b4775d96c163573"],"state_sha256":"5f299009947dbaa025513b95f6f174cf4cc0da3dd2f30ca73c42e8c6f761173b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5uMlOJ3gYgJT+XyDHumJpwBlNogHKCpkuiVYLe68LuO548YHQDU4WvxjrirYVLwh/kOh9rk8udk7iGAvN+QUCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T22:02:26.472061Z","bundle_sha256":"9ba38a683c8cd0e3aad5e0532313c93ade1090b52cd365c0e20fb4bb529ba38c"}}