{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:ZSLXGDNT4X5GZOVAJ4VZRA74E6","short_pith_number":"pith:ZSLXGDNT","canonical_record":{"source":{"id":"2412.14297","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T19:53:56Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"06ce7a8771fcf7211c31328a5e44beada2679f0f875010d1d217e811e4867cb9","abstract_canon_sha256":"ce3970d29f42fd45e16efb45dffb473dbf6ae5949cede02c24ea9221252b9ff5"},"schema_version":"1.0"},"canonical_sha256":"cc97730db3e5fa6cbaa04f2b9883fc2797c3cbc01a50f5db38d363d9a46cacee","source":{"kind":"arxiv","id":"2412.14297","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14297","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14297v2","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14297","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZSLXGDNT4X5G","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"pith_short_16","alias_value":"ZSLXGDNT4X5GZOVA","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"pith_short_8","alias_value":"ZSLXGDNT","created_at":"2026-07-05T11:13:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:ZSLXGDNT4X5GZOVAJ4VZRA74E6","target":"record","payload":{"canonical_record":{"source":{"id":"2412.14297","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T19:53:56Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"06ce7a8771fcf7211c31328a5e44beada2679f0f875010d1d217e811e4867cb9","abstract_canon_sha256":"ce3970d29f42fd45e16efb45dffb473dbf6ae5949cede02c24ea9221252b9ff5"},"schema_version":"1.0"},"canonical_sha256":"cc97730db3e5fa6cbaa04f2b9883fc2797c3cbc01a50f5db38d363d9a46cacee","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:13:17.386007Z","signature_b64":"jmylcBizajEW+rYL4Bex6/P7U1ZkFbmBjPymfMknd6U2PK9e29JNLYLsnGkptnieYJG1uIw/gYV6vk2Vu1AOBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cc97730db3e5fa6cbaa04f2b9883fc2797c3cbc01a50f5db38d363d9a46cacee","last_reissued_at":"2026-07-05T11:13:17.385455Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:13:17.385455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.14297","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":"2026-07-05T11:13:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i+4YwpHFpe2c3Ab1UoZQUe2SD+tuArfFzqk8EX82ez3cPfkuuxpD2JskJAUvfb/jTWO+ob8NwsdsPClM4OykDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:07:31.388687Z"},"content_sha256":"6ee503a044c45e1a1d72d4571fb9a18772425575372e9be763c0323985d8a403","schema_version":"1.0","event_id":"sha256:6ee503a044c45e1a1d72d4571fb9a18772425575372e9be763c0323985d8a403"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:ZSLXGDNT4X5GZOVAJ4VZRA74E6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distributionally Robust Policy Learning under Concept Drifts","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Jingyuan Wang, Ruohan Zhan, Zhengyuan Zhou, Zhimei Ren","submitted_at":"2024-12-18T19:53:56Z","abstract_excerpt":"Distributionally robust policy learning aims to find a policy that performs well under the worst-case distributional shift, and yet most existing methods for robust policy learning consider the worst-case joint distribution of the covariate and the outcome. The joint-modeling strategy can be unnecessarily conservative when we have more information on the source of distributional shifts. This paper studies a more nuanced problem -- robust policy learning under the concept drift, when only the conditional relationship between the outcome and the covariate changes. To this end, we first provide a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14297","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/2412.14297/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":"2026-07-05T11:13:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PLZpZsO5FMhxqzGNEwN0qADGvrYBT+oGGl1xUFgdU1+lgNQ3xtjDLOlietdeQamdY/1q1K+F0T1XCuRUS7ljAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T23:07:31.389255Z"},"content_sha256":"1e388ff40735fb647d15698ab55077ff0db18025a33808af6685b94f2e66404c","schema_version":"1.0","event_id":"sha256:1e388ff40735fb647d15698ab55077ff0db18025a33808af6685b94f2e66404c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZSLXGDNT4X5GZOVAJ4VZRA74E6/bundle.json","state_url":"https://pith.science/pith/ZSLXGDNT4X5GZOVAJ4VZRA74E6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZSLXGDNT4X5GZOVAJ4VZRA74E6/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":"2026-08-13T23:07:31Z","links":{"resolver":"https://pith.science/pith/ZSLXGDNT4X5GZOVAJ4VZRA74E6","bundle":"https://pith.science/pith/ZSLXGDNT4X5GZOVAJ4VZRA74E6/bundle.json","state":"https://pith.science/pith/ZSLXGDNT4X5GZOVAJ4VZRA74E6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZSLXGDNT4X5GZOVAJ4VZRA74E6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:ZSLXGDNT4X5GZOVAJ4VZRA74E6","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":"ce3970d29f42fd45e16efb45dffb473dbf6ae5949cede02c24ea9221252b9ff5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T19:53:56Z","title_canon_sha256":"06ce7a8771fcf7211c31328a5e44beada2679f0f875010d1d217e811e4867cb9"},"schema_version":"1.0","source":{"id":"2412.14297","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.14297","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"arxiv_version","alias_value":"2412.14297v2","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.14297","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"pith_short_12","alias_value":"ZSLXGDNT4X5G","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"pith_short_16","alias_value":"ZSLXGDNT4X5GZOVA","created_at":"2026-07-05T11:13:17Z"},{"alias_kind":"pith_short_8","alias_value":"ZSLXGDNT","created_at":"2026-07-05T11:13:17Z"}],"graph_snapshots":[{"event_id":"sha256:1e388ff40735fb647d15698ab55077ff0db18025a33808af6685b94f2e66404c","target":"graph","created_at":"2026-07-05T11:13:17Z","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/2412.14297/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distributionally robust policy learning aims to find a policy that performs well under the worst-case distributional shift, and yet most existing methods for robust policy learning consider the worst-case joint distribution of the covariate and the outcome. The joint-modeling strategy can be unnecessarily conservative when we have more information on the source of distributional shifts. This paper studies a more nuanced problem -- robust policy learning under the concept drift, when only the conditional relationship between the outcome and the covariate changes. To this end, we first provide a","authors_text":"Jingyuan Wang, Ruohan Zhan, Zhengyuan Zhou, Zhimei Ren","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T19:53:56Z","title":"Distributionally Robust Policy Learning under Concept Drifts"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.14297","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":"sha256:6ee503a044c45e1a1d72d4571fb9a18772425575372e9be763c0323985d8a403","target":"record","created_at":"2026-07-05T11:13:17Z","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":"ce3970d29f42fd45e16efb45dffb473dbf6ae5949cede02c24ea9221252b9ff5","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-18T19:53:56Z","title_canon_sha256":"06ce7a8771fcf7211c31328a5e44beada2679f0f875010d1d217e811e4867cb9"},"schema_version":"1.0","source":{"id":"2412.14297","kind":"arxiv","version":2}},"canonical_sha256":"cc97730db3e5fa6cbaa04f2b9883fc2797c3cbc01a50f5db38d363d9a46cacee","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cc97730db3e5fa6cbaa04f2b9883fc2797c3cbc01a50f5db38d363d9a46cacee","first_computed_at":"2026-07-05T11:13:17.385455Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:13:17.385455Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jmylcBizajEW+rYL4Bex6/P7U1ZkFbmBjPymfMknd6U2PK9e29JNLYLsnGkptnieYJG1uIw/gYV6vk2Vu1AOBw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:13:17.386007Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.14297","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6ee503a044c45e1a1d72d4571fb9a18772425575372e9be763c0323985d8a403","sha256:1e388ff40735fb647d15698ab55077ff0db18025a33808af6685b94f2e66404c"],"state_sha256":"b07d60f6b3347e920da3d0d2aff02c73a585d0e0c3118e2775d3af9b2a232058"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"krlCee6CNclau/Mjt5yDTM/ZO0a9e/wN2DPGDM5443nOjJePrMbMNA3MqkG2AFDG1itoFB7KuesQX2TKBbBLBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T23:07:31.404580Z","bundle_sha256":"c69dc20a987f626d1e0154b8b1b85b78aaf8618da7a38c91b6065c4b8e767ad1"}}