{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NWOH2TXK4VDP4AFOXNI3HB3KUF","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":"f32526a56368f68ed78cbbb72ce4a944ae2dd6f4b8d464200ebe305430216292","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-08T04:52:10Z","title_canon_sha256":"07080a4c60d0bcef5b5edadcf6bb944a654ec753e611faf52ad847b346714120"},"schema_version":"1.0","source":{"id":"2408.04216","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.04216","created_at":"2026-07-05T10:02:23Z"},{"alias_kind":"arxiv_version","alias_value":"2408.04216v3","created_at":"2026-07-05T10:02:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.04216","created_at":"2026-07-05T10:02:23Z"},{"alias_kind":"pith_short_12","alias_value":"NWOH2TXK4VDP","created_at":"2026-07-05T10:02:23Z"},{"alias_kind":"pith_short_16","alias_value":"NWOH2TXK4VDP4AFO","created_at":"2026-07-05T10:02:23Z"},{"alias_kind":"pith_short_8","alias_value":"NWOH2TXK","created_at":"2026-07-05T10:02:23Z"}],"graph_snapshots":[{"event_id":"sha256:362266903b499a31a663318b4e7a4897e06fc22b4063e41a7713cf3aaa326d92","target":"graph","created_at":"2026-07-05T10:02:23Z","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/2408.04216/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper advances a novel architectural schema anchored upon the Transformer paradigm and innovatively amalgamates the K-means categorization algorithm to augment the contextual apprehension capabilities of the schema. The transformer model performs well in machine translation tasks due to its parallel computing power and multi-head attention mechanism. However, it may encounter contextual ambiguity or ignore local features when dealing with highly complex language structures. To circumvent this constraint, this exposition incorporates the K-Means algorithm, which is used to stratify the lex","authors_text":"Junming Huang, Sitong Liu, Yuwei Zhang, Zexi Chen, Zizheng Li","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-08T04:52:10Z","title":"Attention Mechanism and Context Modeling System for Text Mining Machine Translation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.04216","kind":"arxiv","version":3},"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:b15300f264b264d2723061a98566ccaed4864b5b4a9840c90af3f3b395b34a23","target":"record","created_at":"2026-07-05T10:02:23Z","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":"f32526a56368f68ed78cbbb72ce4a944ae2dd6f4b8d464200ebe305430216292","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-08T04:52:10Z","title_canon_sha256":"07080a4c60d0bcef5b5edadcf6bb944a654ec753e611faf52ad847b346714120"},"schema_version":"1.0","source":{"id":"2408.04216","kind":"arxiv","version":3}},"canonical_sha256":"6d9c7d4eeae546fe00aebb51b3876aa149ad63b115aa5f8c59db94dfd918ef91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d9c7d4eeae546fe00aebb51b3876aa149ad63b115aa5f8c59db94dfd918ef91","first_computed_at":"2026-07-05T10:02:23.885372Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:23.885372Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F0cgOnUEySLJ6taAanPgDhr0Em1oQE7abte/2q0T4kt7+TW1ijkyxYFN8cEkvcqbzykDUk61icJaWH7BDT+nCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:23.885805Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.04216","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b15300f264b264d2723061a98566ccaed4864b5b4a9840c90af3f3b395b34a23","sha256:362266903b499a31a663318b4e7a4897e06fc22b4063e41a7713cf3aaa326d92"],"state_sha256":"61cab81fd8f507cb1f5da0c066ba6785b613e531692a197758d8ab5d046aab51"}