{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:KEII757HVGDPMTR3NNZHIX63QQ","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":"9be8ddcf6e6b496a90361aec66058b3386f8258316eebdaff15fbe1f6ffd7737","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-02-17T13:16:44Z","title_canon_sha256":"c6962bc89dcb30eeec3ae3e155c8795cd2b1661ea563041f47068355a0575f3b"},"schema_version":"1.0","source":{"id":"2502.11782","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.11782","created_at":"2026-07-05T10:15:34Z"},{"alias_kind":"arxiv_version","alias_value":"2502.11782v1","created_at":"2026-07-05T10:15:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.11782","created_at":"2026-07-05T10:15:34Z"},{"alias_kind":"pith_short_12","alias_value":"KEII757HVGDP","created_at":"2026-07-05T10:15:34Z"},{"alias_kind":"pith_short_16","alias_value":"KEII757HVGDPMTR3","created_at":"2026-07-05T10:15:34Z"},{"alias_kind":"pith_short_8","alias_value":"KEII757H","created_at":"2026-07-05T10:15:34Z"}],"graph_snapshots":[{"event_id":"sha256:134f8c8d9d85e6e2bad07fd6e9c365fa6afc2a1da04c4561d4fd4bd9dea7b2ff","target":"graph","created_at":"2026-07-05T10:15:34Z","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/2502.11782/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dataflow-oriented spatial architectures are the emerging paradigm for higher computation performance and efficiency.\n  AMD Versal AI Engine is a commercial spatial architecture consisting of tiles of VLIW processors supporting SIMD operations arranged in a two-dimensional mesh.\n  The architecture requires the explicit design of task assignments and dataflow configurations for each tile to maximize performance, demanding advanced techniques and meticulous design.\n  However, a few works revealed the performance characteristics of the Versal AI Engine through practical workloads.\n  In this work, ","authors_text":"Ayumi Ohno, Kotaro Shimamura, Shinya Takamaeda-Yamazaki","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-02-17T13:16:44Z","title":"Exploring the Versal AI Engine for 3D Gaussian Splatting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.11782","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:e07213c444053b4d7ca3a843f38f0ab7ae9de42173914ae643a3cadc7f834f51","target":"record","created_at":"2026-07-05T10:15:34Z","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":"9be8ddcf6e6b496a90361aec66058b3386f8258316eebdaff15fbe1f6ffd7737","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2025-02-17T13:16:44Z","title_canon_sha256":"c6962bc89dcb30eeec3ae3e155c8795cd2b1661ea563041f47068355a0575f3b"},"schema_version":"1.0","source":{"id":"2502.11782","kind":"arxiv","version":1}},"canonical_sha256":"51108ff7e7a986f64e3b6b72745fdb841b8a2d91666aa74224bf30e1bd1d6a5b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"51108ff7e7a986f64e3b6b72745fdb841b8a2d91666aa74224bf30e1bd1d6a5b","first_computed_at":"2026-07-05T10:15:34.128075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:15:34.128075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"R9bJ6+rTHU7/4XbiO4bkt6hhuAIqTBX1pKbLmFfYq/EltV9FJIyrY3iSjPp8HhvrpSxOZyH6/HH1fWe0SAf6Bg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:15:34.128506Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.11782","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e07213c444053b4d7ca3a843f38f0ab7ae9de42173914ae643a3cadc7f834f51","sha256:134f8c8d9d85e6e2bad07fd6e9c365fa6afc2a1da04c4561d4fd4bd9dea7b2ff"],"state_sha256":"3d8a2611cf05b1ab742eb8f20a8d61795331e02ede3fb432e5be2d3f09d72b88"}