{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YQCVZOB2TLWTBXSYJTZDI4ZP7W","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":"79dd7939b43d840dc9a445c29991e3f7a14acfdc443bb2ee4ee990b0c9d2d7b9","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T18:28:13Z","title_canon_sha256":"7d6f19a4b8046adddcf50373292b85d4c73a7f291d84e02dc426f5594f5e4048"},"schema_version":"1.0","source":{"id":"2607.21731","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21731","created_at":"2026-07-27T00:20:17Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21731v1","created_at":"2026-07-27T00:20:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21731","created_at":"2026-07-27T00:20:17Z"},{"alias_kind":"pith_short_12","alias_value":"YQCVZOB2TLWT","created_at":"2026-07-27T00:20:17Z"},{"alias_kind":"pith_short_16","alias_value":"YQCVZOB2TLWTBXSY","created_at":"2026-07-27T00:20:17Z"},{"alias_kind":"pith_short_8","alias_value":"YQCVZOB2","created_at":"2026-07-27T00:20:17Z"}],"graph_snapshots":[{"event_id":"sha256:12a2a14b7bcf024b59769f688928037c9066796378cc86a9904e072e6380971e","target":"graph","created_at":"2026-07-27T00:20:17Z","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/2607.21731/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Transformers are widely used across many domains, including natural language processing, computer vision, web search, and DNA sequence analysis. Given their broad applicability, improving the performance of transformer models is critical. However, the high volume of data movement between processing units and memory during attention operations significantly limits their efficiency. Processing-In-Memory (PIM) mitigates this issue by performing computations directly inside memory. While prior work has proposed PIM-based transformer implementations, they suffer from costly inter-bank communication","authors_text":"Alaa Alameldeen, Zahra Yousefijamarani","cross_cats":["cs.AR"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T18:28:13Z","title":"RED-PIM: Reducing Data Movement for Transformers using Processing-in-Memory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21731","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":"sha256:1ab14c632e5ebbab82f74c293edfcf9ec2a82c758ffae01cea0b83a1884d7133","target":"record","created_at":"2026-07-27T00:20:17Z","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":"79dd7939b43d840dc9a445c29991e3f7a14acfdc443bb2ee4ee990b0c9d2d7b9","cross_cats_sorted":["cs.AR"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2026-07-23T18:28:13Z","title_canon_sha256":"7d6f19a4b8046adddcf50373292b85d4c73a7f291d84e02dc426f5594f5e4048"},"schema_version":"1.0","source":{"id":"2607.21731","kind":"arxiv","version":1}},"canonical_sha256":"c4055cb83a9aed30de584cf234732ffda8c65056441d3c3f6c4f6af7d67ddb23","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c4055cb83a9aed30de584cf234732ffda8c65056441d3c3f6c4f6af7d67ddb23","first_computed_at":"2026-07-27T00:20:17.903191Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-27T00:20:17.903191Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7yleBj9tOKvz5++PsYtN8+8rzRDQalMNDyRAreSl0c47ZAFVEq1xWsVFL8g6zVqZz2SuDStU7wSVhX+U8a/fBg==","signature_status":"signed_v1","signed_at":"2026-07-27T00:20:17.904087Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.21731","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1ab14c632e5ebbab82f74c293edfcf9ec2a82c758ffae01cea0b83a1884d7133","sha256:12a2a14b7bcf024b59769f688928037c9066796378cc86a9904e072e6380971e"],"state_sha256":"618b603dc7a750a86b29c4c54a676ab82b00914d114303c80cf86ca880a004b6"}