{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:MMC4TZRH5ZHZ4ONCWZOKR2HHW2","short_pith_number":"pith:MMC4TZRH","canonical_record":{"source":{"id":"2204.01916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-05T01:02:53Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"9a00ec82dd9d69ce025fc0b894659a31b73fe65f2e974b3381b526d2213a1293","abstract_canon_sha256":"53df730541e607fc2e5b86da1f04e0d861b40c2a260b414f5bee63e4d87b3d4f"},"schema_version":"1.0"},"canonical_sha256":"6305c9e627ee4f9e39a2b65ca8e8e7b684dacb71d9c7ab96efcfbfcbfad8ef8d","source":{"kind":"arxiv","id":"2204.01916","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.01916","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2204.01916v1","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.01916","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"MMC4TZRH5ZHZ","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"MMC4TZRH5ZHZ4ONC","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"MMC4TZRH","created_at":"2026-07-05T04:11:34Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:MMC4TZRH5ZHZ4ONCWZOKR2HHW2","target":"record","payload":{"canonical_record":{"source":{"id":"2204.01916","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-05T01:02:53Z","cross_cats_sorted":["cs.AI","cs.NE"],"title_canon_sha256":"9a00ec82dd9d69ce025fc0b894659a31b73fe65f2e974b3381b526d2213a1293","abstract_canon_sha256":"53df730541e607fc2e5b86da1f04e0d861b40c2a260b414f5bee63e4d87b3d4f"},"schema_version":"1.0"},"canonical_sha256":"6305c9e627ee4f9e39a2b65ca8e8e7b684dacb71d9c7ab96efcfbfcbfad8ef8d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:11:34.412902Z","signature_b64":"Ipu2X2RzH7xohFsoDJLSTNB0c9oK4wiRgGA3lNZyeKCUwOhOMoQ8nfR/GWoaRc3WIw0AcKbZp32vXH6rFU6ZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6305c9e627ee4f9e39a2b65ca8e8e7b684dacb71d9c7ab96efcfbfcbfad8ef8d","last_reissued_at":"2026-07-05T04:11:34.412446Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:11:34.412446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2204.01916","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":"2026-07-05T04:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E6AwaGjRdlh7J3JxOW9mB8N9Um3YXQQveFXiwq63tW0ulsKYB9lz8ZnmN289s8ieBy38HdIiA5YSGB24jiTdCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:51:54.851560Z"},"content_sha256":"e2e41f0a4ad69f7b81aeca9839866a5519522a1697bd514a745b5c10c0d92294","schema_version":"1.0","event_id":"sha256:e2e41f0a4ad69f7b81aeca9839866a5519522a1697bd514a745b5c10c0d92294"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:MMC4TZRH5ZHZ4ONCWZOKR2HHW2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.NE"],"primary_cat":"cs.LG","authors_text":"Mohammad Kachuee, Sungjin Lee, Zixuan Ke","submitted_at":"2022-04-05T01:02:53Z","abstract_excerpt":"In many real-world machine learning applications, samples belong to a set of domains e.g., for product reviews each review belongs to a product category. In this paper, we study multi-domain imbalanced learning (MIL), the scenario that there is imbalance not only in classes but also in domains. In the MIL setting, different domains exhibit different patterns and there is a varying degree of similarity and divergence among domains posing opportunities and challenges for transfer learning especially when faced with limited or insufficient training data. We propose a novel domain-aware contrastiv"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.01916","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/2204.01916/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":"2026-07-05T04:11:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7he9CvPR3VKjU5JC3TqnuKOdJaIcqAtvKMW7m043HmVz77quh25CiNkwUN1Pv6NYd4akmcoC1GoeUGuyh6KuAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T22:51:54.852553Z"},"content_sha256":"28f23196bfb8edf617533e89bb897612053bf7d94b17681114c6bf6b7b7e5596","schema_version":"1.0","event_id":"sha256:28f23196bfb8edf617533e89bb897612053bf7d94b17681114c6bf6b7b7e5596"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MMC4TZRH5ZHZ4ONCWZOKR2HHW2/bundle.json","state_url":"https://pith.science/pith/MMC4TZRH5ZHZ4ONCWZOKR2HHW2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MMC4TZRH5ZHZ4ONCWZOKR2HHW2/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":"2026-08-06T22:51:54Z","links":{"resolver":"https://pith.science/pith/MMC4TZRH5ZHZ4ONCWZOKR2HHW2","bundle":"https://pith.science/pith/MMC4TZRH5ZHZ4ONCWZOKR2HHW2/bundle.json","state":"https://pith.science/pith/MMC4TZRH5ZHZ4ONCWZOKR2HHW2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MMC4TZRH5ZHZ4ONCWZOKR2HHW2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:MMC4TZRH5ZHZ4ONCWZOKR2HHW2","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":"53df730541e607fc2e5b86da1f04e0d861b40c2a260b414f5bee63e4d87b3d4f","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-05T01:02:53Z","title_canon_sha256":"9a00ec82dd9d69ce025fc0b894659a31b73fe65f2e974b3381b526d2213a1293"},"schema_version":"1.0","source":{"id":"2204.01916","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2204.01916","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"arxiv_version","alias_value":"2204.01916v1","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2204.01916","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"pith_short_12","alias_value":"MMC4TZRH5ZHZ","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"pith_short_16","alias_value":"MMC4TZRH5ZHZ4ONC","created_at":"2026-07-05T04:11:34Z"},{"alias_kind":"pith_short_8","alias_value":"MMC4TZRH","created_at":"2026-07-05T04:11:34Z"}],"graph_snapshots":[{"event_id":"sha256:28f23196bfb8edf617533e89bb897612053bf7d94b17681114c6bf6b7b7e5596","target":"graph","created_at":"2026-07-05T04:11:34Z","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/2204.01916/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In many real-world machine learning applications, samples belong to a set of domains e.g., for product reviews each review belongs to a product category. In this paper, we study multi-domain imbalanced learning (MIL), the scenario that there is imbalance not only in classes but also in domains. In the MIL setting, different domains exhibit different patterns and there is a varying degree of similarity and divergence among domains posing opportunities and challenges for transfer learning especially when faced with limited or insufficient training data. We propose a novel domain-aware contrastiv","authors_text":"Mohammad Kachuee, Sungjin Lee, Zixuan Ke","cross_cats":["cs.AI","cs.NE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-05T01:02:53Z","title":"Domain-Aware Contrastive Knowledge Transfer for Multi-domain Imbalanced Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2204.01916","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:e2e41f0a4ad69f7b81aeca9839866a5519522a1697bd514a745b5c10c0d92294","target":"record","created_at":"2026-07-05T04:11:34Z","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":"53df730541e607fc2e5b86da1f04e0d861b40c2a260b414f5bee63e4d87b3d4f","cross_cats_sorted":["cs.AI","cs.NE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-04-05T01:02:53Z","title_canon_sha256":"9a00ec82dd9d69ce025fc0b894659a31b73fe65f2e974b3381b526d2213a1293"},"schema_version":"1.0","source":{"id":"2204.01916","kind":"arxiv","version":1}},"canonical_sha256":"6305c9e627ee4f9e39a2b65ca8e8e7b684dacb71d9c7ab96efcfbfcbfad8ef8d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6305c9e627ee4f9e39a2b65ca8e8e7b684dacb71d9c7ab96efcfbfcbfad8ef8d","first_computed_at":"2026-07-05T04:11:34.412446Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:11:34.412446Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ipu2X2RzH7xohFsoDJLSTNB0c9oK4wiRgGA3lNZyeKCUwOhOMoQ8nfR/GWoaRc3WIw0AcKbZp32vXH6rFU6ZDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T04:11:34.412902Z","signed_message":"canonical_sha256_bytes"},"source_id":"2204.01916","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e2e41f0a4ad69f7b81aeca9839866a5519522a1697bd514a745b5c10c0d92294","sha256:28f23196bfb8edf617533e89bb897612053bf7d94b17681114c6bf6b7b7e5596"],"state_sha256":"143ba1f8a033425c26deb933e98f4a0eb33c1d94eb38ec18a131e4f4be65db6f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"55RG/kXA9/sjlDEdSNb2XCiF2w6l88KUIfbZJv79Q2mCfuiuzEUTEGXt7zQyd3f/Srie5I1RU7LouWewDJoeCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T22:51:54.858328Z","bundle_sha256":"d783dec28f69e1874c7f71b3a81a5478cea0b9fdd52461abac427b62ab5440e3"}}