{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:FUPWWV7CZMTLE74L3OQGOZU4FQ","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":"b58da26070db6013d669c702caad4332ed1f2f7df46f4f6e4be6d9d1b30c8aa7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T01:56:22Z","title_canon_sha256":"ba928d3f3203e37c7a74e46810a51375c747777d0ba1c6ccccd4c6cd480aa8ff"},"schema_version":"1.0","source":{"id":"2405.03939","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.03939","created_at":"2026-07-05T08:16:12Z"},{"alias_kind":"arxiv_version","alias_value":"2405.03939v1","created_at":"2026-07-05T08:16:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.03939","created_at":"2026-07-05T08:16:12Z"},{"alias_kind":"pith_short_12","alias_value":"FUPWWV7CZMTL","created_at":"2026-07-05T08:16:12Z"},{"alias_kind":"pith_short_16","alias_value":"FUPWWV7CZMTLE74L","created_at":"2026-07-05T08:16:12Z"},{"alias_kind":"pith_short_8","alias_value":"FUPWWV7C","created_at":"2026-07-05T08:16:12Z"}],"graph_snapshots":[{"event_id":"sha256:557b50ba14dd9c943a3468557f26ea24d7fe4cabfd53f2a0f9c92d6183e3814f","target":"graph","created_at":"2026-07-05T08:16:12Z","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/2405.03939/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Effectively handling instructions with extremely long context remains a challenge for Large Language Models (LLMs), typically necessitating high-quality long data and substantial computational resources. This paper introduces Step-Skipping Alignment (SkipAlign), a new technique designed to enhance the long-context capabilities of LLMs in the phase of alignment without the need for additional efforts beyond training with original data length. SkipAlign is developed on the premise that long-range dependencies are fundamental to enhancing an LLM's capacity of long context. Departing from merely e","authors_text":"Dawei Zhu, Sujian Li, Wenhao Wu, Xiang Yue, Yao Fu, Yizhong Wang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T01:56:22Z","title":"Long Context Alignment with Short Instructions and Synthesized Positions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.03939","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":"sha256:72b87b5e78e5e70f07c9fb4207cf0a5208fc10e5a5858a767b1f75ac6735c106","target":"record","created_at":"2026-07-05T08:16:12Z","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":"b58da26070db6013d669c702caad4332ed1f2f7df46f4f6e4be6d9d1b30c8aa7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-07T01:56:22Z","title_canon_sha256":"ba928d3f3203e37c7a74e46810a51375c747777d0ba1c6ccccd4c6cd480aa8ff"},"schema_version":"1.0","source":{"id":"2405.03939","kind":"arxiv","version":1}},"canonical_sha256":"2d1f6b57e2cb26b27f8bdba067669c2c17c4d7a2b260cdd9fb30380e43a47069","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2d1f6b57e2cb26b27f8bdba067669c2c17c4d7a2b260cdd9fb30380e43a47069","first_computed_at":"2026-07-05T08:16:12.929474Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:16:12.929474Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"/+0VoNLyjiMnETH1ouVHSo6BAHrO9gjqn1n5s6ICJgMzsGAHT3aUyHdj2DIsoHPpENR0Q1sVbPfKRzJMsyK0Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:16:12.929968Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.03939","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72b87b5e78e5e70f07c9fb4207cf0a5208fc10e5a5858a767b1f75ac6735c106","sha256:557b50ba14dd9c943a3468557f26ea24d7fe4cabfd53f2a0f9c92d6183e3814f"],"state_sha256":"80187cd2bb619533fae1b03b03629044c68f45a7072f0752428ca6510157b176"}