{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:MTQBGLQED3QCLRXLCL4WDREZTR","short_pith_number":"pith:MTQBGLQE","schema_version":"1.0","canonical_sha256":"64e0132e041ee025c6eb12f961c4999c7e4d6632e26f5dc7fa6cc99ad19c1f08","source":{"kind":"arxiv","id":"2603.28205","version":2},"attestation_state":"computed","paper":{"title":"Beyond Cosine Similarity: Zero-Initialized Residual Complex Projection for Aspect-Based Sentiment Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"Projecting ABSA features into complex space via zero-initialized residuals separates opposing polarities by phase.","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Fandi Sun, Haoyu Wen, Yijin Wang","submitted_at":"2026-03-30T09:23:04Z","abstract_excerpt":"Aspect-Based Sentiment Analysis (ABSA) faces critical challenges due to representation entanglement and false-negative collisions in real-valued embedding spaces. In this paper, we propose a novel framework featuring a Zero-Initialized Residual Complex Projection (ZRCP) and an Anti-collision Masked Angle Loss. Our approach projects textual features into a complex semantic space, utilizing the phase to isolate sentiment polarities while regularizing the amplitude to ensure structural consistency within aspect categories. To mitigate this, we introduce an anti-collision mask that preserves intra"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":true,"formal_links_present":false},"canonical_record":{"source":{"id":"2603.28205","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2026-03-30T09:23:04Z","cross_cats_sorted":[],"title_canon_sha256":"a85b65a6cc9dfda79db44473b9c3f04513b61d81abf11c5a98b2276fbf0af860","abstract_canon_sha256":"38b4ca2705328cf68bc1eec0e2ed3d101db3d8d9faa18e6469ceb0004cf5c6fd"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:15.636676Z","signature_b64":"Ld4zdp3oercdXjQ3LnEgQk4zMic/3jwBjF23XdauvkuDGoZYtv16ZEN0yalfjngIxVD9Dr/xAMxWrP+oGHxHAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"64e0132e041ee025c6eb12f961c4999c7e4d6632e26f5dc7fa6cc99ad19c1f08","last_reissued_at":"2026-05-17T23:39:15.636083Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:15.636083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Beyond Cosine Similarity: Zero-Initialized Residual Complex Projection for Aspect-Based Sentiment Analysis","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"Projecting ABSA features into complex space via zero-initialized residuals separates opposing polarities by phase.","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Fandi Sun, Haoyu Wen, Yijin Wang","submitted_at":"2026-03-30T09:23:04Z","abstract_excerpt":"Aspect-Based Sentiment Analysis (ABSA) faces critical challenges due to representation entanglement and false-negative collisions in real-valued embedding spaces. In this paper, we propose a novel framework featuring a Zero-Initialized Residual Complex Projection (ZRCP) and an Anti-collision Masked Angle Loss. Our approach projects textual features into a complex semantic space, utilizing the phase to isolate sentiment polarities while regularizing the amplitude to ensure structural consistency within aspect categories. To mitigate this, we introduce an anti-collision mask that preserves intra"},"claims":{"count":4,"items":[{"kind":"strongest_claim","text":"Our framework achieves a state-of-the-art Macro-F1 score of 0.8923 on the ASAP dataset, outperforming robust baselines by projecting textual features into a complex semantic space and using an anti-collision mask to expand the discriminative margin between opposing polarities.","source":"verdict.strongest_claim","status":"machine_extracted","claim_id":"C1","attestation":"unclaimed"},{"kind":"weakest_assumption","text":"That mapping features to complex space via zero-initialized residual projection plus the masked angle loss will reliably isolate polarities and generalize beyond the ASAP dataset without introducing new representation artifacts or requiring extensive hyperparameter tuning.","source":"verdict.weakest_assumption","status":"machine_extracted","claim_id":"C2","attestation":"unclaimed"},{"kind":"one_line_summary","text":"Zero-Initialized Residual Complex Projection with anti-collision masked angle loss reaches 0.8923 Macro-F1 on the ASAP dataset for aspect-based sentiment analysis.","source":"verdict.one_line_summary","status":"machine_extracted","claim_id":"C3","attestation":"unclaimed"},{"kind":"headline","text":"Projecting ABSA features into complex space via zero-initialized residuals separates opposing polarities by phase.","source":"verdict.pith_extraction.headline","status":"machine_extracted","claim_id":"C4","attestation":"unclaimed"}],"snapshot_sha256":"906fe689a03a09675ce42f0bd44c24a9cf2df4558e2373c170dafc02ba2b8cd7"},"source":{"id":"2603.28205","kind":"arxiv","version":2},"verdict":{"id":"74f0f157-0e03-4a44-b02d-958f56de4009","model_set":{"reader":"grok-4.3"},"created_at":"2026-05-15T06:38:29.810879Z","strongest_claim":"Our framework achieves a state-of-the-art Macro-F1 score of 0.8923 on the ASAP dataset, outperforming robust baselines by projecting textual features into a complex semantic space and using an anti-collision mask to expand the discriminative margin between opposing polarities.","one_line_summary":"Zero-Initialized Residual Complex Projection with anti-collision masked angle loss reaches 0.8923 Macro-F1 on the ASAP dataset for aspect-based sentiment analysis.","pipeline_version":"pith-pipeline@v0.9.0","weakest_assumption":"That mapping features to complex space via zero-initialized residual projection plus the masked angle loss will reliably isolate polarities and generalize beyond the ASAP dataset without introducing new representation artifacts or requiring extensive hyperparameter tuning.","pith_extraction_headline":"Projecting ABSA features into complex space via zero-initialized residuals separates opposing polarities by phase."},"references":{"count":22,"sample":[{"doi":"","year":2020,"title":"Issues and challenges of aspect-based sentiment analysis: A comprehensive survey","work_id":"2093f27a-95a9-44e9-a8c8-35dc7dbd188f","ref_index":1,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2015,"title":"Survey on aspect-level sentiment analysis","work_id":"7cba367a-13de-4daf-ac5d-37c80119b189","ref_index":2,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"Contrastive sentence representation learning with adaptive false negative cancellation","work_id":"af903eef-19f3-40b9-a00e-a740137971b7","ref_index":3,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":2024,"title":"QPEN: quantum projection and quantum entanglement enhanced network for cross-lingual aspect-based sentiment analysis","work_id":"82ee21c3-bf67-40a8-9e1f-b31be9c5dc80","ref_index":4,"cited_arxiv_id":"","is_internal_anchor":false},{"doi":"","year":1912,"title":"Encoding word order in complex embeddings","work_id":"8bd34535-8adc-4697-a88c-3cfeef78c54b","ref_index":5,"cited_arxiv_id":"","is_internal_anchor":false}],"resolved_work":22,"snapshot_sha256":"c3168477490be76dc80b0d6979ab6c8ca87574297cb2d7efddad498042089222","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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2603.28205","created_at":"2026-05-17T23:39:15.636174+00:00"},{"alias_kind":"arxiv_version","alias_value":"2603.28205v2","created_at":"2026-05-17T23:39:15.636174+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2603.28205","created_at":"2026-05-17T23:39:15.636174+00:00"},{"alias_kind":"pith_short_12","alias_value":"MTQBGLQED3QC","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_16","alias_value":"MTQBGLQED3QCLRXL","created_at":"2026-05-18T12:33:37.589309+00:00"},{"alias_kind":"pith_short_8","alias_value":"MTQBGLQE","created_at":"2026-05-18T12:33:37.589309+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR","json":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR.json","graph_json":"https://pith.science/api/pith-number/MTQBGLQED3QCLRXLCL4WDREZTR/graph.json","events_json":"https://pith.science/api/pith-number/MTQBGLQED3QCLRXLCL4WDREZTR/events.json","paper":"https://pith.science/paper/MTQBGLQE"},"agent_actions":{"view_html":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR","download_json":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR.json","view_paper":"https://pith.science/paper/MTQBGLQE","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2603.28205&json=true","fetch_graph":"https://pith.science/api/pith-number/MTQBGLQED3QCLRXLCL4WDREZTR/graph.json","fetch_events":"https://pith.science/api/pith-number/MTQBGLQED3QCLRXLCL4WDREZTR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR/action/storage_attestation","attest_author":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR/action/author_attestation","sign_citation":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR/action/citation_signature","submit_replication":"https://pith.science/pith/MTQBGLQED3QCLRXLCL4WDREZTR/action/replication_record"}},"created_at":"2026-05-17T23:39:15.636174+00:00","updated_at":"2026-05-17T23:39:15.636174+00:00"}