{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:HREBC3H25X6KQ6CSRQCGPWQO3J","short_pith_number":"pith:HREBC3H2","canonical_record":{"source":{"id":"1808.09271","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-28T13:14:33Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"becb70500c92f3fe32248c860454f74bed85fd60485041e9db3db5448eb0b9c0","abstract_canon_sha256":"59594be2780046836af374028c1bcfcf4f76ac349f6e633c8bf36f5c221a7c70"},"schema_version":"1.0"},"canonical_sha256":"3c48116cfaedfca878528c0467da0eda522692bc083893bbacfcba83e863a1af","source":{"kind":"arxiv","id":"1808.09271","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.09271","created_at":"2026-05-18T00:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"1808.09271v1","created_at":"2026-05-18T00:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.09271","created_at":"2026-05-18T00:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"HREBC3H25X6K","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HREBC3H25X6KQ6CS","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HREBC3H2","created_at":"2026-05-18T12:32:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:HREBC3H25X6KQ6CSRQCGPWQO3J","target":"record","payload":{"canonical_record":{"source":{"id":"1808.09271","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-28T13:14:33Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"becb70500c92f3fe32248c860454f74bed85fd60485041e9db3db5448eb0b9c0","abstract_canon_sha256":"59594be2780046836af374028c1bcfcf4f76ac349f6e633c8bf36f5c221a7c70"},"schema_version":"1.0"},"canonical_sha256":"3c48116cfaedfca878528c0467da0eda522692bc083893bbacfcba83e863a1af","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:07:01.857459Z","signature_b64":"SIOYAPseTSMR6X/TyD5q/VoNpwO1qX2yUYolP+i8JFoNehaTkguYOq5JZGdLzgWjlwUHymj82JD2oeLMHy0xBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3c48116cfaedfca878528c0467da0eda522692bc083893bbacfcba83e863a1af","last_reissued_at":"2026-05-18T00:07:01.856855Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:07:01.856855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.09271","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":"2026-05-18T00:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fofIWREVvCBP5TDkF0gff+AkdKP89X7xjqJ8O1Iqq+r4XAUm7w1cSxHbzgxsc72jL3Xe55slnVbPaNC141cPBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:14:26.152806Z"},"content_sha256":"59f4db839d44d579c3973d04a9c953baf199b108992523a66482a8a156c0064c","schema_version":"1.0","event_id":"sha256:59f4db839d44d579c3973d04a9c953baf199b108992523a66482a8a156c0064c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:HREBC3H25X6KQ6CSRQCGPWQO3J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Distance Based Source Domain Selection for Sentiment Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.IR","authors_text":"Lex Razoux Schultz, Marco Loog, Peyman Mohajerin Esfahani","submitted_at":"2018-08-28T13:14:33Z","abstract_excerpt":"Automated sentiment classification (SC) on short text fragments has received increasing attention in recent years. Performing SC on unseen domains with few or no labeled samples can significantly affect the classification performance due to different expression of sentiment in source and target domain. In this study, we aim to mitigate this undesired impact by proposing a methodology based on a predictive measure, which allows us to select an optimal source domain from a set of candidates. The proposed measure is a linear combination of well-known distance functions between probability distrib"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.09271","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":"2026-05-18T00:07:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"K+hWgRy7stqJ3nJEe7jUBGq34Yt0WA2h0+4BsiD0q3KmVEJGKAVrP9Pj7Q+M76XfXuF9pPLfBmn+smI265d2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T20:14:26.153460Z"},"content_sha256":"2603c5c8549c2fc8426a917bfe6dc5f9a9ab169bf927108e5aaa7b8841255c02","schema_version":"1.0","event_id":"sha256:2603c5c8549c2fc8426a917bfe6dc5f9a9ab169bf927108e5aaa7b8841255c02"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HREBC3H25X6KQ6CSRQCGPWQO3J/bundle.json","state_url":"https://pith.science/pith/HREBC3H25X6KQ6CSRQCGPWQO3J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HREBC3H25X6KQ6CSRQCGPWQO3J/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":"2026-05-25T20:14:26Z","links":{"resolver":"https://pith.science/pith/HREBC3H25X6KQ6CSRQCGPWQO3J","bundle":"https://pith.science/pith/HREBC3H25X6KQ6CSRQCGPWQO3J/bundle.json","state":"https://pith.science/pith/HREBC3H25X6KQ6CSRQCGPWQO3J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HREBC3H25X6KQ6CSRQCGPWQO3J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:HREBC3H25X6KQ6CSRQCGPWQO3J","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":"59594be2780046836af374028c1bcfcf4f76ac349f6e633c8bf36f5c221a7c70","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-28T13:14:33Z","title_canon_sha256":"becb70500c92f3fe32248c860454f74bed85fd60485041e9db3db5448eb0b9c0"},"schema_version":"1.0","source":{"id":"1808.09271","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.09271","created_at":"2026-05-18T00:07:01Z"},{"alias_kind":"arxiv_version","alias_value":"1808.09271v1","created_at":"2026-05-18T00:07:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.09271","created_at":"2026-05-18T00:07:01Z"},{"alias_kind":"pith_short_12","alias_value":"HREBC3H25X6K","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_16","alias_value":"HREBC3H25X6KQ6CS","created_at":"2026-05-18T12:32:28Z"},{"alias_kind":"pith_short_8","alias_value":"HREBC3H2","created_at":"2026-05-18T12:32:28Z"}],"graph_snapshots":[{"event_id":"sha256:2603c5c8549c2fc8426a917bfe6dc5f9a9ab169bf927108e5aaa7b8841255c02","target":"graph","created_at":"2026-05-18T00:07:01Z","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":"Automated sentiment classification (SC) on short text fragments has received increasing attention in recent years. Performing SC on unseen domains with few or no labeled samples can significantly affect the classification performance due to different expression of sentiment in source and target domain. In this study, we aim to mitigate this undesired impact by proposing a methodology based on a predictive measure, which allows us to select an optimal source domain from a set of candidates. The proposed measure is a linear combination of well-known distance functions between probability distrib","authors_text":"Lex Razoux Schultz, Marco Loog, Peyman Mohajerin Esfahani","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-28T13:14:33Z","title":"Distance Based Source Domain Selection for Sentiment Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.09271","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":"sha256:59f4db839d44d579c3973d04a9c953baf199b108992523a66482a8a156c0064c","target":"record","created_at":"2026-05-18T00:07:01Z","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":"59594be2780046836af374028c1bcfcf4f76ac349f6e633c8bf36f5c221a7c70","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-08-28T13:14:33Z","title_canon_sha256":"becb70500c92f3fe32248c860454f74bed85fd60485041e9db3db5448eb0b9c0"},"schema_version":"1.0","source":{"id":"1808.09271","kind":"arxiv","version":1}},"canonical_sha256":"3c48116cfaedfca878528c0467da0eda522692bc083893bbacfcba83e863a1af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3c48116cfaedfca878528c0467da0eda522692bc083893bbacfcba83e863a1af","first_computed_at":"2026-05-18T00:07:01.856855Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:07:01.856855Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"SIOYAPseTSMR6X/TyD5q/VoNpwO1qX2yUYolP+i8JFoNehaTkguYOq5JZGdLzgWjlwUHymj82JD2oeLMHy0xBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:07:01.857459Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.09271","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:59f4db839d44d579c3973d04a9c953baf199b108992523a66482a8a156c0064c","sha256:2603c5c8549c2fc8426a917bfe6dc5f9a9ab169bf927108e5aaa7b8841255c02"],"state_sha256":"3c87e8c3ecaaa233a595d953fb98f4ae713fc54f605982c41042897d558e0303"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QF5Gl7hxG6HEg7myNt+tus7fpQPjItJfUZ24QrALGZRdNg4O+rRE6YyCKHlRu3sHDagZIZlttYFaBy6lAjK2Bw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T20:14:26.156760Z","bundle_sha256":"ec2bd864104bf7b5fa28db63fdcfe5e08b91bd6d444e8f570e2e05cf8cf6a9b7"}}