{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:OH4J7LJPU76PO7724B47H3REGH","short_pith_number":"pith:OH4J7LJP","canonical_record":{"source":{"id":"1608.04581","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-16T13:17:51Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8db0937243a0478b288a61ad2887e54d4116407df56a29f36bb5e13a20b714cb","abstract_canon_sha256":"20ffbb08f780b47d808d32f49c1078a7731f8e64ccc51e704b3f8cc700f909b6"},"schema_version":"1.0"},"canonical_sha256":"71f89fad2fa7fcf77ffae079f3ee2431e739d8ea1efb7ace44ce602c5b6a012c","source":{"kind":"arxiv","id":"1608.04581","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.04581","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1608.04581v1","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.04581","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"OH4J7LJPU76P","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"OH4J7LJPU76PO772","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"OH4J7LJP","created_at":"2026-05-18T12:30:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:OH4J7LJPU76PO7724B47H3REGH","target":"record","payload":{"canonical_record":{"source":{"id":"1608.04581","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-16T13:17:51Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"8db0937243a0478b288a61ad2887e54d4116407df56a29f36bb5e13a20b714cb","abstract_canon_sha256":"20ffbb08f780b47d808d32f49c1078a7731f8e64ccc51e704b3f8cc700f909b6"},"schema_version":"1.0"},"canonical_sha256":"71f89fad2fa7fcf77ffae079f3ee2431e739d8ea1efb7ace44ce602c5b6a012c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:36.793799Z","signature_b64":"yBEtDp60i0OzCSE7su4X4rbnU3xoNLLK8MQ/j1QEGZ2z9s10xSkVuh97ABzERgL6DtrgmBBlYo4g14Rk9mfMCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"71f89fad2fa7fcf77ffae079f3ee2431e739d8ea1efb7ace44ce602c5b6a012c","last_reissued_at":"2026-05-18T01:08:36.793181Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:36.793181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1608.04581","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":"2026-05-18T01:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"abLf4m0DRp3XdKR7ryqA59TXRqJQFnl77wYbYj21l547i7MG1mkvOngD87yE1EEQLEPDOf6qA4/m01SmiEveCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T02:56:01.578111Z"},"content_sha256":"240ba5514079c65de85453307d1e5f9a20bbbfab751795f1dc136b530cb3cbb6","schema_version":"1.0","event_id":"sha256:240ba5514079c65de85453307d1e5f9a20bbbfab751795f1dc136b530cb3cbb6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:OH4J7LJPU76PO7724B47H3REGH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A novel transfer learning method based on common space mapping and weighted domain matching","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Hongqi Wang, Jim Jing-Yan Wang, Lisa Taylor, Ru-Ze Liang, Wei Xie, Weizhi Li","submitted_at":"2016-08-16T13:17:51Z","abstract_excerpt":"In this paper, we propose a novel learning framework for the problem of domain transfer learning. We map the data of two domains to one single common space, and learn a classifier in this common space. Then we adapt the common classifier to the two domains by adding two adaptive functions to it respectively. In the common space, the target domain data points are weighted and matched to the target domain in term of distributions. The weighting terms of source domain data points and the target domain classification responses are also regularized by the local reconstruction coefficients. The nove"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.04581","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":""},"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":"2026-05-18T01:08:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pa50vq/VNWUKWZMqFbmM+PcNntp9trCzo9IIyIkhyvVcTHqDfVt24PmICddly3b8y3yDu13Cy41luNfzn5X5Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T02:56:01.578485Z"},"content_sha256":"490e9cb07d30d2a24b32285d726624741745e5be1410d6e1a318b99b6ea1db7d","schema_version":"1.0","event_id":"sha256:490e9cb07d30d2a24b32285d726624741745e5be1410d6e1a318b99b6ea1db7d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OH4J7LJPU76PO7724B47H3REGH/bundle.json","state_url":"https://pith.science/pith/OH4J7LJPU76PO7724B47H3REGH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OH4J7LJPU76PO7724B47H3REGH/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":"2026-06-04T02:56:01Z","links":{"resolver":"https://pith.science/pith/OH4J7LJPU76PO7724B47H3REGH","bundle":"https://pith.science/pith/OH4J7LJPU76PO7724B47H3REGH/bundle.json","state":"https://pith.science/pith/OH4J7LJPU76PO7724B47H3REGH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OH4J7LJPU76PO7724B47H3REGH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:OH4J7LJPU76PO7724B47H3REGH","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":"20ffbb08f780b47d808d32f49c1078a7731f8e64ccc51e704b3f8cc700f909b6","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-16T13:17:51Z","title_canon_sha256":"8db0937243a0478b288a61ad2887e54d4116407df56a29f36bb5e13a20b714cb"},"schema_version":"1.0","source":{"id":"1608.04581","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1608.04581","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"arxiv_version","alias_value":"1608.04581v1","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1608.04581","created_at":"2026-05-18T01:08:36Z"},{"alias_kind":"pith_short_12","alias_value":"OH4J7LJPU76P","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_16","alias_value":"OH4J7LJPU76PO772","created_at":"2026-05-18T12:30:36Z"},{"alias_kind":"pith_short_8","alias_value":"OH4J7LJP","created_at":"2026-05-18T12:30:36Z"}],"graph_snapshots":[{"event_id":"sha256:490e9cb07d30d2a24b32285d726624741745e5be1410d6e1a318b99b6ea1db7d","target":"graph","created_at":"2026-05-18T01:08:36Z","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"},"paper":{"abstract_excerpt":"In this paper, we propose a novel learning framework for the problem of domain transfer learning. We map the data of two domains to one single common space, and learn a classifier in this common space. Then we adapt the common classifier to the two domains by adding two adaptive functions to it respectively. In the common space, the target domain data points are weighted and matched to the target domain in term of distributions. The weighting terms of source domain data points and the target domain classification responses are also regularized by the local reconstruction coefficients. The nove","authors_text":"Hongqi Wang, Jim Jing-Yan Wang, Lisa Taylor, Ru-Ze Liang, Wei Xie, Weizhi Li","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-16T13:17:51Z","title":"A novel transfer learning method based on common space mapping and weighted domain matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1608.04581","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":"sha256:240ba5514079c65de85453307d1e5f9a20bbbfab751795f1dc136b530cb3cbb6","target":"record","created_at":"2026-05-18T01:08:36Z","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":"20ffbb08f780b47d808d32f49c1078a7731f8e64ccc51e704b3f8cc700f909b6","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2016-08-16T13:17:51Z","title_canon_sha256":"8db0937243a0478b288a61ad2887e54d4116407df56a29f36bb5e13a20b714cb"},"schema_version":"1.0","source":{"id":"1608.04581","kind":"arxiv","version":1}},"canonical_sha256":"71f89fad2fa7fcf77ffae079f3ee2431e739d8ea1efb7ace44ce602c5b6a012c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"71f89fad2fa7fcf77ffae079f3ee2431e739d8ea1efb7ace44ce602c5b6a012c","first_computed_at":"2026-05-18T01:08:36.793181Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:36.793181Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yBEtDp60i0OzCSE7su4X4rbnU3xoNLLK8MQ/j1QEGZ2z9s10xSkVuh97ABzERgL6DtrgmBBlYo4g14Rk9mfMCg==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:36.793799Z","signed_message":"canonical_sha256_bytes"},"source_id":"1608.04581","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:240ba5514079c65de85453307d1e5f9a20bbbfab751795f1dc136b530cb3cbb6","sha256:490e9cb07d30d2a24b32285d726624741745e5be1410d6e1a318b99b6ea1db7d"],"state_sha256":"9c12098c863df388411a4fb7efe87ecc257cf2ad63c12456cfaac17d05e69847"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XbdU8fzM8S9qpSzCCcvqhs3fxmw0tDikH4nkHa7va/5OqZHcoxnU6fUVEI9jkxP6S6dAFItQfzOlRXEljQUXCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T02:56:01.580598Z","bundle_sha256":"680e73c302b9aa371b1435181b2f1208a98d583aa8fc7dab613cad1e0dd3d321"}}