{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:ET7PT6SRPZ7B5ECVE4BUZDCYZQ","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":"723a9ec45070f7aee636640dabca4f10a19c8f4a4ae80cbfe93cf905eea433a4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-16T15:16:06Z","title_canon_sha256":"79269b1a28fc3b7fdb437492e46374bf4f68d70c396fd5da0d6d4176d02f9129"},"schema_version":"1.0","source":{"id":"2607.15105","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15105","created_at":"2026-07-17T01:22:09Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15105v1","created_at":"2026-07-17T01:22:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15105","created_at":"2026-07-17T01:22:09Z"},{"alias_kind":"pith_short_12","alias_value":"ET7PT6SRPZ7B","created_at":"2026-07-17T01:22:09Z"},{"alias_kind":"pith_short_16","alias_value":"ET7PT6SRPZ7B5ECV","created_at":"2026-07-17T01:22:09Z"},{"alias_kind":"pith_short_8","alias_value":"ET7PT6SR","created_at":"2026-07-17T01:22:09Z"}],"graph_snapshots":[{"event_id":"sha256:fcc6554e948fe4f19f786f3da259eb82bf174c12fce0fa393168801c92727569","target":"graph","created_at":"2026-07-17T01:22:09Z","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/2607.15105/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Parameter-efficient fine-tuning reduces model and optimizer memory, but dense attention still makes long training sequences expensive. We combine Hierarchical Global Attention (HGA) with segment-wise backpropagation and tiered KV storage. Only the active segment remains differentiable in VRAM; older KV is detached into RAM or NVMe, and HGA loads a bounded set of exact historical tokens for each query block. On Qwen3-8B with 4-bit QLoRA and PG19, dense training on a 16 GB Quadro RTX 5000 fits 2,048 tokens but fails at 4,096, whereas HGA reaches 16,384 tokens with 15.28 GB peak VRAM. Under evalu","authors_text":"Aleksandr Sazhin, Artemiy Grinenko, Frank Woernle, Vladimir Fedosov","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-16T15:16:06Z","title":"Long-Context Fine-Tuning with Limited VRAM"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15105","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":"sha256:30b9a4cb2ffa5b0f311cedc8ce0b1aa2c53095ac2ead38434ddde90344716049","target":"record","created_at":"2026-07-17T01:22:09Z","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":"723a9ec45070f7aee636640dabca4f10a19c8f4a4ae80cbfe93cf905eea433a4","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2026-07-16T15:16:06Z","title_canon_sha256":"79269b1a28fc3b7fdb437492e46374bf4f68d70c396fd5da0d6d4176d02f9129"},"schema_version":"1.0","source":{"id":"2607.15105","kind":"arxiv","version":1}},"canonical_sha256":"24fef9fa517e7e1e905527034c8c58cc38a998fbac0bae017f5157f93f3102df","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"24fef9fa517e7e1e905527034c8c58cc38a998fbac0bae017f5157f93f3102df","first_computed_at":"2026-07-17T01:22:09.689764Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-17T01:22:09.689764Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3/+C2/2AhHze0gfc82aJ1C5u/eZ7lnbtBaXMQQ5ucRj28ABuzSf/g/irkiBTlJWVTUXIfYI5PRtDLBdvbetaAw==","signature_status":"signed_v1","signed_at":"2026-07-17T01:22:09.690573Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15105","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:30b9a4cb2ffa5b0f311cedc8ce0b1aa2c53095ac2ead38434ddde90344716049","sha256:fcc6554e948fe4f19f786f3da259eb82bf174c12fce0fa393168801c92727569"],"state_sha256":"ec8a1ddb5132f6bab76317a3745c4929d0e91f2a9973a802adadec148bf909f8"}