{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7GUERYJDQ53UW25SBOYWNBG3O4","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":"67325f3aed05e0d98e81100584a61832eef06fe98dc38c98060e8cfb8a848da7","cross_cats_sorted":["cs.AI","cs.CL","cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T20:17:22Z","title_canon_sha256":"18cd756c0d1c0e76ddfb807d164b38c3f0f06a9a2345fefd2aa02e78478ebbf3"},"schema_version":"1.0","source":{"id":"2405.08944","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.08944","created_at":"2026-07-05T08:19:11Z"},{"alias_kind":"arxiv_version","alias_value":"2405.08944v1","created_at":"2026-07-05T08:19:11Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.08944","created_at":"2026-07-05T08:19:11Z"},{"alias_kind":"pith_short_12","alias_value":"7GUERYJDQ53U","created_at":"2026-07-05T08:19:11Z"},{"alias_kind":"pith_short_16","alias_value":"7GUERYJDQ53UW25S","created_at":"2026-07-05T08:19:11Z"},{"alias_kind":"pith_short_8","alias_value":"7GUERYJD","created_at":"2026-07-05T08:19:11Z"}],"graph_snapshots":[{"event_id":"sha256:04d2bb9cd5371dbdc562722117299ab532d7529ccc7651a94ce2cc17583bac55","target":"graph","created_at":"2026-07-05T08:19:11Z","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/2405.08944/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformer-based long context generative models power emerging AI applications like hour-long video understanding and project-level coding agent. Deploying long context transformers (e.g., 100K to 10M tokens) is prohibitively expensive compared to short context (e.g., 4K tokens) model variants. Reducing the cost of long-context transformers is becoming a pressing research and engineering challenge starting from the year of 2024. This work describes a concurrent programming framework for quantitatively analyzing the efficiency challenges in serving multiple long-context requests under limited ","authors_text":"Yao Fu","cross_cats":["cs.AI","cs.CL","cs.DC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T20:17:22Z","title":"Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.08944","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:af2b89fb423120f44e68a5c5d5311bf1e75d372ba0dba1a107628d76898c2a93","target":"record","created_at":"2026-07-05T08:19:11Z","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":"67325f3aed05e0d98e81100584a61832eef06fe98dc38c98060e8cfb8a848da7","cross_cats_sorted":["cs.AI","cs.CL","cs.DC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-05-14T20:17:22Z","title_canon_sha256":"18cd756c0d1c0e76ddfb807d164b38c3f0f06a9a2345fefd2aa02e78478ebbf3"},"schema_version":"1.0","source":{"id":"2405.08944","kind":"arxiv","version":1}},"canonical_sha256":"f9a848e12387774b6bb20bb16684db770ed03d36d296c6da3b743395a277a4fc","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f9a848e12387774b6bb20bb16684db770ed03d36d296c6da3b743395a277a4fc","first_computed_at":"2026-07-05T08:19:11.130158Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:19:11.130158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"00y0gIpzpJXSjwJ7WzkEtsGE85or1kiyF6oZpE26bou0CqvZWxQUKUsMv9XEuR9uimVKZw0yGmJGRaxP6dtkCg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:19:11.130636Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.08944","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:af2b89fb423120f44e68a5c5d5311bf1e75d372ba0dba1a107628d76898c2a93","sha256:04d2bb9cd5371dbdc562722117299ab532d7529ccc7651a94ce2cc17583bac55"],"state_sha256":"b4cd3865f2e09170622e5377ef3818c1b7b5bafbbaa3f0a73ee8ed07a1b47994"}