{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:LIOUBTJPI5DGXBBAQRR5TW4WFS","short_pith_number":"pith:LIOUBTJP","schema_version":"1.0","canonical_sha256":"5a1d40cd2f47466b84208463d9db962c82b11dec888e54c7e7b9df839dc6618d","source":{"kind":"arxiv","id":"2401.16421","version":2},"attestation_state":"computed","paper":{"title":"Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","stat.ML"],"primary_cat":"cs.LG","authors_text":"Di He, Guhao Feng, Hongxia Yang, Jingjing Xu, Kai Yang, Liwei Wang, Shengjie Luo, Zhenyu He, Zhi Zhang","submitted_at":"2024-01-29T18:59:07Z","abstract_excerpt":"In this work, we leverage the intrinsic segmentation of language sequences and design a new positional encoding method called Bilevel Positional Encoding (BiPE). For each position, our BiPE blends an intra-segment encoding and an inter-segment encoding. The intra-segment encoding identifies the locations within a segment and helps the model capture the semantic information therein via absolute positional encoding. The inter-segment encoding specifies the segment index, models the relationships between segments, and aims to improve extrapolation capabilities via relative positional encoding. Th"},"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":"2401.16421","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2024-01-29T18:59:07Z","cross_cats_sorted":["cs.AI","cs.CL","stat.ML"],"title_canon_sha256":"632a7ab093ae7f9be152412bc07cac74eb5bc12575cf15f56c261931bdb0efbc","abstract_canon_sha256":"64c95ed4b4cc09a0896370ba6ab91bb22151fca5c18ba0c35dc566384a6eb749"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:32:35.404340Z","signature_b64":"46Wt06fssgvdPrBl07jEXs659ozlL++UVKvyQGFDgTwI1nbODF1aAUHamxGCRsS6ZbxrWIBi1m4+1zWQV1DgBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5a1d40cd2f47466b84208463d9db962c82b11dec888e54c7e7b9df839dc6618d","last_reissued_at":"2026-07-05T08:32:35.403696Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:32:35.403696Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Two Stones Hit One Bird: Bilevel Positional Encoding for Better Length Extrapolation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CL","stat.ML"],"primary_cat":"cs.LG","authors_text":"Di He, Guhao Feng, Hongxia Yang, Jingjing Xu, Kai Yang, Liwei Wang, Shengjie Luo, Zhenyu He, Zhi Zhang","submitted_at":"2024-01-29T18:59:07Z","abstract_excerpt":"In this work, we leverage the intrinsic segmentation of language sequences and design a new positional encoding method called Bilevel Positional Encoding (BiPE). For each position, our BiPE blends an intra-segment encoding and an inter-segment encoding. The intra-segment encoding identifies the locations within a segment and helps the model capture the semantic information therein via absolute positional encoding. The inter-segment encoding specifies the segment index, models the relationships between segments, and aims to improve extrapolation capabilities via relative positional encoding. Th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.16421","kind":"arxiv","version":2},"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/2401.16421/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":"2401.16421","created_at":"2026-07-05T08:32:35.403787+00:00"},{"alias_kind":"arxiv_version","alias_value":"2401.16421v2","created_at":"2026-07-05T08:32:35.403787+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.16421","created_at":"2026-07-05T08:32:35.403787+00:00"},{"alias_kind":"pith_short_12","alias_value":"LIOUBTJPI5DG","created_at":"2026-07-05T08:32:35.403787+00:00"},{"alias_kind":"pith_short_16","alias_value":"LIOUBTJPI5DGXBBA","created_at":"2026-07-05T08:32:35.403787+00:00"},{"alias_kind":"pith_short_8","alias_value":"LIOUBTJP","created_at":"2026-07-05T08:32:35.403787+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":2,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2605.30022","citing_title":"Give it Space! Explicit Disentangling of Positional and Semantic Representations in Encoders","ref_index":10,"is_internal_anchor":false},{"citing_arxiv_id":"2605.19944","citing_title":"A Measure-Theoretic Analysis of Reasoning: Structural Generalization and Approximation Limits","ref_index":11,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS","json":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS.json","graph_json":"https://pith.science/api/pith-number/LIOUBTJPI5DGXBBAQRR5TW4WFS/graph.json","events_json":"https://pith.science/api/pith-number/LIOUBTJPI5DGXBBAQRR5TW4WFS/events.json","paper":"https://pith.science/paper/LIOUBTJP"},"agent_actions":{"view_html":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS","download_json":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS.json","view_paper":"https://pith.science/paper/LIOUBTJP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2401.16421&json=true","fetch_graph":"https://pith.science/api/pith-number/LIOUBTJPI5DGXBBAQRR5TW4WFS/graph.json","fetch_events":"https://pith.science/api/pith-number/LIOUBTJPI5DGXBBAQRR5TW4WFS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS/action/storage_attestation","attest_author":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS/action/author_attestation","sign_citation":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS/action/citation_signature","submit_replication":"https://pith.science/pith/LIOUBTJPI5DGXBBAQRR5TW4WFS/action/replication_record"}},"created_at":"2026-07-05T08:32:35.403787+00:00","updated_at":"2026-07-05T08:32:35.403787+00:00"}