{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SESWIT64JBLOUN6TRS6WHGDZNL","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":"132e8df3bda595200e334e0ed567896d4dae485cbc8a732f29018364b8fd3916","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-26T17:33:38Z","title_canon_sha256":"acbd7fa3c253ed619d09c6ce1809a0ffa9daee7670018f7b44ac5b706162aca4"},"schema_version":"1.0","source":{"id":"2503.20750","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.20750","created_at":"2026-07-05T10:39:43Z"},{"alias_kind":"arxiv_version","alias_value":"2503.20750v1","created_at":"2026-07-05T10:39:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.20750","created_at":"2026-07-05T10:39:43Z"},{"alias_kind":"pith_short_12","alias_value":"SESWIT64JBLO","created_at":"2026-07-05T10:39:43Z"},{"alias_kind":"pith_short_16","alias_value":"SESWIT64JBLOUN6T","created_at":"2026-07-05T10:39:43Z"},{"alias_kind":"pith_short_8","alias_value":"SESWIT64","created_at":"2026-07-05T10:39:43Z"}],"graph_snapshots":[{"event_id":"sha256:44b88aefe4b4058f1cfd050e662e108e29f52e75ad0059cebae9d308cc166723","target":"graph","created_at":"2026-07-05T10:39:43Z","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/2503.20750/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces a theoretical framework for a Transformer-augmented, sectional Mixture-of-Experts (MoE) architecture that aims to enhance computational efficiency while preserving model scalability. Unlike conventional MoE models, which route entire token embeddings to selected experts, our approach portions the embedding dimension itself -- assigning segments of each token's representation to dedicated experts. To combat losses in token representation, we utilize a pre-expert transformer layer to recompute attention across tokens and reduce the sequence length dimensionality. We extend ","authors_text":"Soham Sane","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-26T17:33:38Z","title":"Optimal Scaling Laws for Efficiency Gains in a Theoretical Transformer-Augmented Sectional MoE Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.20750","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":"sha256:6a23cb7b4d2a46797d27b59ba01c6e920f670281732c9cd3b26dcf8719af8df8","target":"record","created_at":"2026-07-05T10:39:43Z","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":"132e8df3bda595200e334e0ed567896d4dae485cbc8a732f29018364b8fd3916","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-03-26T17:33:38Z","title_canon_sha256":"acbd7fa3c253ed619d09c6ce1809a0ffa9daee7670018f7b44ac5b706162aca4"},"schema_version":"1.0","source":{"id":"2503.20750","kind":"arxiv","version":1}},"canonical_sha256":"9125644fdc4856ea37d38cbd6398796ac5079eb3e8ee04f4cd8f0219547eb559","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9125644fdc4856ea37d38cbd6398796ac5079eb3e8ee04f4cd8f0219547eb559","first_computed_at":"2026-07-05T10:39:43.642478Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:39:43.642478Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GtKvY9vhEPXkyAuJnNi4rNXHqZIhjuve9ECmb3/y4D4TZCltmsoRKyUNXwalmQU2126k5veNP13am88CNMElAw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:39:43.642959Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.20750","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a23cb7b4d2a46797d27b59ba01c6e920f670281732c9cd3b26dcf8719af8df8","sha256:44b88aefe4b4058f1cfd050e662e108e29f52e75ad0059cebae9d308cc166723"],"state_sha256":"9b371dd4b3b40bf95c97b497e59c2121c537fe0077f54c15ad9e420a806f1334"}