{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:7ZCBDLVUM5TDWMSL2E735BEDV2","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":"3a483fc5364aada89c526f1677e347cf24cb5d3ac210578665b69fa0ce842396","cross_cats_sorted":["cs.AI","cs.DC","cs.LG","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-05-01T18:02:25Z","title_canon_sha256":"ae8740ead2656a421a689e1c6ba7a01b613bdd0f093d3e942f8128686f5442db"},"schema_version":"1.0","source":{"id":"2405.00790","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.00790","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"arxiv_version","alias_value":"2405.00790v2","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.00790","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_12","alias_value":"7ZCBDLVUM5TD","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_16","alias_value":"7ZCBDLVUM5TDWMSL","created_at":"2026-07-05T09:06:59Z"},{"alias_kind":"pith_short_8","alias_value":"7ZCBDLVU","created_at":"2026-07-05T09:06:59Z"}],"graph_snapshots":[{"event_id":"sha256:cfb297789ea70676b39b3de134c8adbf21f23f3850c99055adc8bed9ae61922c","target":"graph","created_at":"2026-07-05T09:06:59Z","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/2405.00790/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Emerging multi-model workloads with heavy models like recent large language models significantly increased the compute and memory demands on hardware. To address such increasing demands, designing a scalable hardware architecture became a key problem. Among recent solutions, the 2.5D silicon interposer multi-chip module (MCM)-based AI accelerator has been actively explored as a promising scalable solution due to their significant benefits in the low engineering cost and composability. However, previous MCM accelerators are based on homogeneous architectures with fixed dataflow, which encounter","authors_text":"Hyoukjun Kwon, Luke Chen, Mohammad Abdullah Al Faruque, Mohanad Odema","cross_cats":["cs.AI","cs.DC","cs.LG","cs.PF"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-05-01T18:02:25Z","title":"SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.00790","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":"sha256:71309537538de00312e00672886063318a3dbf012abca1a409e6c3d52fffc6cd","target":"record","created_at":"2026-07-05T09:06:59Z","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":"3a483fc5364aada89c526f1677e347cf24cb5d3ac210578665b69fa0ce842396","cross_cats_sorted":["cs.AI","cs.DC","cs.LG","cs.PF"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AR","submitted_at":"2024-05-01T18:02:25Z","title_canon_sha256":"ae8740ead2656a421a689e1c6ba7a01b613bdd0f093d3e942f8128686f5442db"},"schema_version":"1.0","source":{"id":"2405.00790","kind":"arxiv","version":2}},"canonical_sha256":"fe4411aeb467663b324bd13fbe8483ae8ca0205ea70f5e3e2f7411b77a6f5149","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fe4411aeb467663b324bd13fbe8483ae8ca0205ea70f5e3e2f7411b77a6f5149","first_computed_at":"2026-07-05T09:06:59.312797Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:06:59.312797Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"8WbxfrJN5DSAWYiURdHjfqigB0EorfuB1qBW4uEVE4l4xdbNRr0EmEf4HqOAFQqy7Xw1PgvHiZPyNiUmLs3EAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:06:59.313239Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.00790","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71309537538de00312e00672886063318a3dbf012abca1a409e6c3d52fffc6cd","sha256:cfb297789ea70676b39b3de134c8adbf21f23f3850c99055adc8bed9ae61922c"],"state_sha256":"75cd80a352ce803db703b393e1cc8d57cf11e94972270476a803d451471a664c"}