{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:7QXHBPCWPTOQSGMGFFJG2KCUA2","short_pith_number":"pith:7QXHBPCW","schema_version":"1.0","canonical_sha256":"fc2e70bc567cdd09198629526d285406849b224a81fc64ae49e3b5f10d2b0248","source":{"kind":"arxiv","id":"2506.11970","version":1},"attestation_state":"computed","paper":{"title":"CnC-PRAC: Coalesce, not Cache, Per Row Activation Counts for an Efficient in-DRAM Rowhammer Mitigation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Chris S. Lin, Gururaj Saileshwar, Jeonghyun Woo, Prashant J. Nair","submitted_at":"2025-06-13T17:28:38Z","abstract_excerpt":"JEDEC has introduced the Per Row Activation Counting (PRAC) framework for DDR5 and future DRAMs to enable precise counting of DRAM row activations using per-row activation counts. While recent PRAC implementations enable holistic mitigation of Rowhammer attacks, they impose slowdowns of up to 10% due to the increased DRAM timings for performing a read-modify-write of the counter. Alternatively, recent work, Chronus, addresses these slowdowns, but incurs energy overheads due to the additional DRAM activations for counters. In this paper, we propose CnC-PRAC, a PRAC implementation that addresses"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2506.11970","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-06-13T17:28:38Z","cross_cats_sorted":[],"title_canon_sha256":"7506594baff79b3740eb1e97e093c005e4567b702de362f2193ba6b9d8368407","abstract_canon_sha256":"8785cac9e337ca49bd06f34cbb972959c04673477badb226de9c784d09775205"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:21:13.664364Z","signature_b64":"/sYewFkRjBCPfxDn0pAH+VYBYk27Ug2vwQRGwtaQBXCbUiI2aIwqhH9wVtJ42MTAinjjgvhqsPMyMLGGzFAFCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fc2e70bc567cdd09198629526d285406849b224a81fc64ae49e3b5f10d2b0248","last_reissued_at":"2026-07-05T11:21:13.663741Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:21:13.663741Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CnC-PRAC: Coalesce, not Cache, Per Row Activation Counts for an Efficient in-DRAM Rowhammer Mitigation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CR","authors_text":"Chris S. Lin, Gururaj Saileshwar, Jeonghyun Woo, Prashant J. Nair","submitted_at":"2025-06-13T17:28:38Z","abstract_excerpt":"JEDEC has introduced the Per Row Activation Counting (PRAC) framework for DDR5 and future DRAMs to enable precise counting of DRAM row activations using per-row activation counts. While recent PRAC implementations enable holistic mitigation of Rowhammer attacks, they impose slowdowns of up to 10% due to the increased DRAM timings for performing a read-modify-write of the counter. Alternatively, recent work, Chronus, addresses these slowdowns, but incurs energy overheads due to the additional DRAM activations for counters. In this paper, we propose CnC-PRAC, a PRAC implementation that addresses"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.11970","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.11970/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2506.11970","created_at":"2026-07-05T11:21:13.663829+00:00"},{"alias_kind":"arxiv_version","alias_value":"2506.11970v1","created_at":"2026-07-05T11:21:13.663829+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.11970","created_at":"2026-07-05T11:21:13.663829+00:00"},{"alias_kind":"pith_short_12","alias_value":"7QXHBPCWPTOQ","created_at":"2026-07-05T11:21:13.663829+00:00"},{"alias_kind":"pith_short_16","alias_value":"7QXHBPCWPTOQSGMG","created_at":"2026-07-05T11:21:13.663829+00:00"},{"alias_kind":"pith_short_8","alias_value":"7QXHBPCW","created_at":"2026-07-05T11:21:13.663829+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2604.20576","citing_title":"PVAC: A RowHammer Mitigation Architecture Exploiting Per-victim-row Counting","ref_index":51,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2","json":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2.json","graph_json":"https://pith.science/api/pith-number/7QXHBPCWPTOQSGMGFFJG2KCUA2/graph.json","events_json":"https://pith.science/api/pith-number/7QXHBPCWPTOQSGMGFFJG2KCUA2/events.json","paper":"https://pith.science/paper/7QXHBPCW"},"agent_actions":{"view_html":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2","download_json":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2.json","view_paper":"https://pith.science/paper/7QXHBPCW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2506.11970&json=true","fetch_graph":"https://pith.science/api/pith-number/7QXHBPCWPTOQSGMGFFJG2KCUA2/graph.json","fetch_events":"https://pith.science/api/pith-number/7QXHBPCWPTOQSGMGFFJG2KCUA2/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2/action/storage_attestation","attest_author":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2/action/author_attestation","sign_citation":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2/action/citation_signature","submit_replication":"https://pith.science/pith/7QXHBPCWPTOQSGMGFFJG2KCUA2/action/replication_record"}},"created_at":"2026-07-05T11:21:13.663829+00:00","updated_at":"2026-07-05T11:21:13.663829+00:00"}