{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7S44XFY3CSFOFEIAFCQZ63DUV3","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":"cd5b6c792e8d5eaaa07026327e09d20fa43622556e3ccc78dea3fe3fe62712c1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-05-30T06:47:55Z","title_canon_sha256":"04c5ff7d787755900ed518065e04f9b1bbc761b4b1f292dfd77e5dff5c01ebc7"},"schema_version":"1.0","source":{"id":"2505.24269","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24269","created_at":"2026-07-05T11:55:19Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24269v2","created_at":"2026-07-05T11:55:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24269","created_at":"2026-07-05T11:55:19Z"},{"alias_kind":"pith_short_12","alias_value":"7S44XFY3CSFO","created_at":"2026-07-05T11:55:19Z"},{"alias_kind":"pith_short_16","alias_value":"7S44XFY3CSFOFEIA","created_at":"2026-07-05T11:55:19Z"},{"alias_kind":"pith_short_8","alias_value":"7S44XFY3","created_at":"2026-07-05T11:55:19Z"}],"graph_snapshots":[{"event_id":"sha256:a1234cb4337f08e17244a6df7746956832a2f80152787d2b9b46c09acd890062","target":"graph","created_at":"2026-07-05T11:55:19Z","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/2505.24269/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In-network computation represents a transformative approach to addressing the escalating demands of Artificial Intelligence (AI) workloads on network infrastructure. By leveraging the processing capabilities of network devices such as switches, routers, and Network Interface Cards (NICs), this paradigm enables AI computations to be performed directly within the network fabric, significantly reducing latency, enhancing throughput, and optimizing resource utilization. This paper provides a comprehensive analysis of optimizing in-network computation for AI, exploring the evolution of programmable","authors_text":"Aleksandr Algazinov, Joydeep Chandra, Matt Laing","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-05-30T06:47:55Z","title":"INSIGHT: A Survey of In-Network Systems for Intelligent, High-Efficiency AI and Topology Optimization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24269","kind":"arxiv","version":2},"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":"sha256:76c616bb8418c7f1125cec7d1ba255779ac88afeee73f0eac78f3b5d2aaf8fdd","target":"record","created_at":"2026-07-05T11:55:19Z","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":"cd5b6c792e8d5eaaa07026327e09d20fa43622556e3ccc78dea3fe3fe62712c1","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.NI","submitted_at":"2025-05-30T06:47:55Z","title_canon_sha256":"04c5ff7d787755900ed518065e04f9b1bbc761b4b1f292dfd77e5dff5c01ebc7"},"schema_version":"1.0","source":{"id":"2505.24269","kind":"arxiv","version":2}},"canonical_sha256":"fcb9cb971b148ae2910028a19f6c74aedd7c48f0f763fdb4678bef364c23e2e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fcb9cb971b148ae2910028a19f6c74aedd7c48f0f763fdb4678bef364c23e2e6","first_computed_at":"2026-07-05T11:55:19.671289Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:55:19.671289Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LCxUGw4NsOWvGG7BwBl11AHygmo67ZTGwHESYOV/WMVWXATVo6VWpd0YorrIvoqCPgXMHi1hq5UzihMghXMoDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:55:19.671756Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24269","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:76c616bb8418c7f1125cec7d1ba255779ac88afeee73f0eac78f3b5d2aaf8fdd","sha256:a1234cb4337f08e17244a6df7746956832a2f80152787d2b9b46c09acd890062"],"state_sha256":"b327e83fdc2c80a665609f9dc977779643956fa481d376c83844c7b474629c50"}