{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:5DZLEC6OXH26N363AHRERVMRIX","short_pith_number":"pith:5DZLEC6O","schema_version":"1.0","canonical_sha256":"e8f2b20bceb9f5e6efdb01e248d59145d607e59607ff5cf85b865f9a2f23d3fa","source":{"kind":"arxiv","id":"2210.09773","version":1},"attestation_state":"computed","paper":{"title":"Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Deng Cai, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam, Xin Li","submitted_at":"2022-10-18T11:37:36Z","abstract_excerpt":"We introduce a new method to improve existing multilingual sentence embeddings with Abstract Meaning Representation (AMR). Compared with the original textual input, AMR is a structured semantic representation that presents the core concepts and relations in a sentence explicitly and unambiguously. It also helps reduce surface variations across different expressions and languages. Unlike most prior work that only evaluates the ability to measure semantic similarity, we present a thorough evaluation of existing multilingual sentence embeddings and our improved versions, which include a collectio"},"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":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2210.09773","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2022-10-18T11:37:36Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"311e40ea5a9afa5245a15daa05eeaf8ea85a0c04b1be1f8a22548519da1460f4","abstract_canon_sha256":"20b75e6e6c730fa39603fcd644a7ba981e50f1d34dec6379cd66c30d85b61de4"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:07:59.396671Z","signature_b64":"FTJ+iY2AyY5ilmU5QIBTB0x8k/v8iC+AmVhhD+7n5t3gSb8yqXlR0Ypu3j7gHpp8EBMw313c5uApRaGVhoIACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e8f2b20bceb9f5e6efdb01e248d59145d607e59607ff5cf85b865f9a2f23d3fa","last_reissued_at":"2026-07-05T05:07:59.396337Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:07:59.396337Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Deng Cai, Jackie Chun-Sing Ho, Lidong Bing, Wai Lam, Xin Li","submitted_at":"2022-10-18T11:37:36Z","abstract_excerpt":"We introduce a new method to improve existing multilingual sentence embeddings with Abstract Meaning Representation (AMR). Compared with the original textual input, AMR is a structured semantic representation that presents the core concepts and relations in a sentence explicitly and unambiguously. It also helps reduce surface variations across different expressions and languages. Unlike most prior work that only evaluates the ability to measure semantic similarity, we present a thorough evaluation of existing multilingual sentence embeddings and our improved versions, which include a collectio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.09773","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/2210.09773/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2210.09773","created_at":"2026-07-05T05:07:59.396391+00:00"},{"alias_kind":"arxiv_version","alias_value":"2210.09773v1","created_at":"2026-07-05T05:07:59.396391+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.09773","created_at":"2026-07-05T05:07:59.396391+00:00"},{"alias_kind":"pith_short_12","alias_value":"5DZLEC6OXH26","created_at":"2026-07-05T05:07:59.396391+00:00"},{"alias_kind":"pith_short_16","alias_value":"5DZLEC6OXH26N363","created_at":"2026-07-05T05:07:59.396391+00:00"},{"alias_kind":"pith_short_8","alias_value":"5DZLEC6O","created_at":"2026-07-05T05:07:59.396391+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/5DZLEC6OXH26N363AHRERVMRIX","json":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX.json","graph_json":"https://pith.science/api/pith-number/5DZLEC6OXH26N363AHRERVMRIX/graph.json","events_json":"https://pith.science/api/pith-number/5DZLEC6OXH26N363AHRERVMRIX/events.json","paper":"https://pith.science/paper/5DZLEC6O"},"agent_actions":{"view_html":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX","download_json":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX.json","view_paper":"https://pith.science/paper/5DZLEC6O","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2210.09773&json=true","fetch_graph":"https://pith.science/api/pith-number/5DZLEC6OXH26N363AHRERVMRIX/graph.json","fetch_events":"https://pith.science/api/pith-number/5DZLEC6OXH26N363AHRERVMRIX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX/action/storage_attestation","attest_author":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX/action/author_attestation","sign_citation":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX/action/citation_signature","submit_replication":"https://pith.science/pith/5DZLEC6OXH26N363AHRERVMRIX/action/replication_record"}},"created_at":"2026-07-05T05:07:59.396391+00:00","updated_at":"2026-07-05T05:07:59.396391+00:00"}