{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:HIPLOK4N7DUVZO43KFMYDK6KZ2","short_pith_number":"pith:HIPLOK4N","canonical_record":{"source":{"id":"2607.00995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-07-01T14:31:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8967375c1fa783b3cf52932232b05808ba1746f7e6618d9bed7d4d3c70fcfd9e","abstract_canon_sha256":"9dfab53558d810cc6686c54f3cb4c6be2ad85ef4ec58812b4af7a5e8f62f3a77"},"schema_version":"1.0"},"canonical_sha256":"3a1eb72b8df8e95cbb9b515981abcace97a86295a23c965bb07413a426a1de57","source":{"kind":"arxiv","id":"2607.00995","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00995","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00995v1","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00995","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"pith_short_12","alias_value":"HIPLOK4N7DUV","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"pith_short_16","alias_value":"HIPLOK4N7DUVZO43","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"pith_short_8","alias_value":"HIPLOK4N","created_at":"2026-07-02T01:18:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:HIPLOK4N7DUVZO43KFMYDK6KZ2","target":"record","payload":{"canonical_record":{"source":{"id":"2607.00995","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-07-01T14:31:36Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8967375c1fa783b3cf52932232b05808ba1746f7e6618d9bed7d4d3c70fcfd9e","abstract_canon_sha256":"9dfab53558d810cc6686c54f3cb4c6be2ad85ef4ec58812b4af7a5e8f62f3a77"},"schema_version":"1.0"},"canonical_sha256":"3a1eb72b8df8e95cbb9b515981abcace97a86295a23c965bb07413a426a1de57","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:25.464323Z","signature_b64":"7KxKTZ6EQh2D5Zmj7sDkt6wt0lPAUcx9NxhYq5T8/gByScY5W0x1VQFU4c3YmB+fMcdl160ScjyHNkelbxUrAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3a1eb72b8df8e95cbb9b515981abcace97a86295a23c965bb07413a426a1de57","last_reissued_at":"2026-07-02T01:18:25.463876Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:25.463876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.00995","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":"2026-07-02T01:18:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GXWAEptQ4UU9AjueJRKDIR1AmwY6cwoUZnp6Hazq79nhQUcj7wtrEcgHcElnV/+vJsvOwwwO62qv2cR1ibyKAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T05:51:50.333215Z"},"content_sha256":"cf93069ec22f4b0722aa7ed63ae9ce28d2c2533954d3e96997d9aec416758b00","schema_version":"1.0","event_id":"sha256:cf93069ec22f4b0722aa7ed63ae9ce28d2c2533954d3e96997d9aec416758b00"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:HIPLOK4N7DUVZO43KFMYDK6KZ2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"stat.ML","authors_text":"Huichao Li, Sanguo Zhang, Shuangge Ma, Tong Wang","submitted_at":"2026-07-01T14:31:36Z","abstract_excerpt":"Most existing multitask learning approaches are limited by their reliance on task-specific loss functions tailored to the scale and type of each outcome. When outcomes differ across tasks, these losses are generally not directly comparable, which makes it difficult to formulate a unified objective and may limit information sharing across tasks. We propose a multitask transformation framework in which task-specific responses may differ through unknown monotone transformations. Motivated by high-dimensional biological applications in which the predictor dimension may diverge with the sample size"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00995","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/2607.00995/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":"2026-07-02T01:18:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KiBnTs3jdZvltxZsIk7gkqSznGGUlKot0RAACezgM8iBHn2xlQTDyzyvsO8HsQCLqd2Yl7qoq0CLwlaT9FVxAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T05:51:50.333799Z"},"content_sha256":"f4b7495ca7fefdca59e10da7643aa9d1074b75c0251f63c65bd66bb468b3ef73","schema_version":"1.0","event_id":"sha256:f4b7495ca7fefdca59e10da7643aa9d1074b75c0251f63c65bd66bb468b3ef73"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HIPLOK4N7DUVZO43KFMYDK6KZ2/bundle.json","state_url":"https://pith.science/pith/HIPLOK4N7DUVZO43KFMYDK6KZ2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HIPLOK4N7DUVZO43KFMYDK6KZ2/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":"2026-08-21T05:51:50Z","links":{"resolver":"https://pith.science/pith/HIPLOK4N7DUVZO43KFMYDK6KZ2","bundle":"https://pith.science/pith/HIPLOK4N7DUVZO43KFMYDK6KZ2/bundle.json","state":"https://pith.science/pith/HIPLOK4N7DUVZO43KFMYDK6KZ2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HIPLOK4N7DUVZO43KFMYDK6KZ2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:HIPLOK4N7DUVZO43KFMYDK6KZ2","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":"9dfab53558d810cc6686c54f3cb4c6be2ad85ef4ec58812b4af7a5e8f62f3a77","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-07-01T14:31:36Z","title_canon_sha256":"8967375c1fa783b3cf52932232b05808ba1746f7e6618d9bed7d4d3c70fcfd9e"},"schema_version":"1.0","source":{"id":"2607.00995","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.00995","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"arxiv_version","alias_value":"2607.00995v1","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.00995","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"pith_short_12","alias_value":"HIPLOK4N7DUV","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"pith_short_16","alias_value":"HIPLOK4N7DUVZO43","created_at":"2026-07-02T01:18:25Z"},{"alias_kind":"pith_short_8","alias_value":"HIPLOK4N","created_at":"2026-07-02T01:18:25Z"}],"graph_snapshots":[{"event_id":"sha256:f4b7495ca7fefdca59e10da7643aa9d1074b75c0251f63c65bd66bb468b3ef73","target":"graph","created_at":"2026-07-02T01:18:25Z","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/2607.00995/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most existing multitask learning approaches are limited by their reliance on task-specific loss functions tailored to the scale and type of each outcome. When outcomes differ across tasks, these losses are generally not directly comparable, which makes it difficult to formulate a unified objective and may limit information sharing across tasks. We propose a multitask transformation framework in which task-specific responses may differ through unknown monotone transformations. Motivated by high-dimensional biological applications in which the predictor dimension may diverge with the sample size","authors_text":"Huichao Li, Sanguo Zhang, Shuangge Ma, Tong Wang","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-07-01T14:31:36Z","title":"Deep Multitask Learning for Mixed-Type Outcomes with Shared Sparsity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.00995","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:cf93069ec22f4b0722aa7ed63ae9ce28d2c2533954d3e96997d9aec416758b00","target":"record","created_at":"2026-07-02T01:18:25Z","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":"9dfab53558d810cc6686c54f3cb4c6be2ad85ef4ec58812b4af7a5e8f62f3a77","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ML","submitted_at":"2026-07-01T14:31:36Z","title_canon_sha256":"8967375c1fa783b3cf52932232b05808ba1746f7e6618d9bed7d4d3c70fcfd9e"},"schema_version":"1.0","source":{"id":"2607.00995","kind":"arxiv","version":1}},"canonical_sha256":"3a1eb72b8df8e95cbb9b515981abcace97a86295a23c965bb07413a426a1de57","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3a1eb72b8df8e95cbb9b515981abcace97a86295a23c965bb07413a426a1de57","first_computed_at":"2026-07-02T01:18:25.463876Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T01:18:25.463876Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7KxKTZ6EQh2D5Zmj7sDkt6wt0lPAUcx9NxhYq5T8/gByScY5W0x1VQFU4c3YmB+fMcdl160ScjyHNkelbxUrAA==","signature_status":"signed_v1","signed_at":"2026-07-02T01:18:25.464323Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.00995","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cf93069ec22f4b0722aa7ed63ae9ce28d2c2533954d3e96997d9aec416758b00","sha256:f4b7495ca7fefdca59e10da7643aa9d1074b75c0251f63c65bd66bb468b3ef73"],"state_sha256":"f767cb95d190feecdc3fff59fd29b5add2a727f14175c0e15f2557d5c906af0e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wZGG1ldFbUsy80bDzzfHu3WFlIgGEcxDncpRS5ClmGURyv+mZ6l/6wwqF8l1GyGJYoUrK4wzld8EoLPBDnx+BQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T05:51:50.340200Z","bundle_sha256":"f6e202c09666f75d53a586e6231897a1735bc4690d83e1b42fa23e7cb4bb38e7"}}