{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:PBABB7JQNZRTIUIC4CWWDJA4DP","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":"69876ea57264d1064557eba72b360e5a1566ee7e0394e28a9adcdfd538073971","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-11T08:41:41Z","title_canon_sha256":"d984c11c331865b43ae1bad32d49d312007d5d6412c7b6d793d31c27a146137f"},"schema_version":"1.0","source":{"id":"2412.08198","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.08198","created_at":"2026-07-05T10:29:28Z"},{"alias_kind":"arxiv_version","alias_value":"2412.08198v2","created_at":"2026-07-05T10:29:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.08198","created_at":"2026-07-05T10:29:28Z"},{"alias_kind":"pith_short_12","alias_value":"PBABB7JQNZRT","created_at":"2026-07-05T10:29:28Z"},{"alias_kind":"pith_short_16","alias_value":"PBABB7JQNZRTIUIC","created_at":"2026-07-05T10:29:28Z"},{"alias_kind":"pith_short_8","alias_value":"PBABB7JQ","created_at":"2026-07-05T10:29:28Z"}],"graph_snapshots":[{"event_id":"sha256:557fb81693a4c669f413951ac4a2396bc760091d4cc4b7741653f78fa235bb0e","target":"graph","created_at":"2026-07-05T10:29:28Z","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/2412.08198/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Advertising systems often face the multi-domain challenge, where data distributions vary significantly across scenarios. Existing domain adaptation methods primarily focus on building domain-adaptive neural networks but often rely on hand-crafted domain information, e.g., advertising placement, which may be sub-optimal. We think that fine-grained \"domain\" patterns exist that are difficult to hand-craft in online advertisement. Thus, we propose Adaptive$^2$, a novel framework that first learns domains adaptively using a domain mining module by self-supervision and then employs a shared&specific","authors_text":"Jian Yang, Kun Gai, Peng Jiang, Shiyang Wen, Wenxuan Sun, Yiming Yang, Yu Li, Yunli Wang, Zhen Zhang, Zhiqiang Wang, Zixuan Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-11T08:41:41Z","title":"Adaptive$^2$: Adaptive Domain Mining for Fine-grained Domain Adaptation Modeling"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.08198","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:c28915d42e48040c0d34863092214b9e0f914801945a511cec14a4f231d614fa","target":"record","created_at":"2026-07-05T10:29:28Z","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":"69876ea57264d1064557eba72b360e5a1566ee7e0394e28a9adcdfd538073971","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-12-11T08:41:41Z","title_canon_sha256":"d984c11c331865b43ae1bad32d49d312007d5d6412c7b6d793d31c27a146137f"},"schema_version":"1.0","source":{"id":"2412.08198","kind":"arxiv","version":2}},"canonical_sha256":"784010fd306e63345102e0ad61a41c1be932dfba7f67df2cdc692a0930f84835","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"784010fd306e63345102e0ad61a41c1be932dfba7f67df2cdc692a0930f84835","first_computed_at":"2026-07-05T10:29:28.334173Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:29:28.334173Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iGvHPdMtMTOHfER+evn84CkVzeRoDTUqZ0vV8M/sr4h+Cf3jzNoXA/K3wPQsN/OHdGzzq+HEKhYENZ02uIFPAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:29:28.334661Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.08198","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c28915d42e48040c0d34863092214b9e0f914801945a511cec14a4f231d614fa","sha256:557fb81693a4c669f413951ac4a2396bc760091d4cc4b7741653f78fa235bb0e"],"state_sha256":"ed4535ae26640e7db8d0ca45609cf6ae804321af3650e8c021867a3edf72107c"}