{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:Q7CENBVHYJLILQYG4MS7Q7NX3P","short_pith_number":"pith:Q7CENBVH","schema_version":"1.0","canonical_sha256":"87c44686a7c25685c306e325f87db7dbf8096ee8ae047a2a6f66ab5831149dc1","source":{"kind":"arxiv","id":"2106.07084","version":2},"attestation_state":"computed","paper":{"title":"Security Analysis of the Silver Bullet Technique for RowHammer Prevention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.CR","authors_text":"Abdullah Giray Ya\\u{g}l{\\i}k\\c{c}{\\i}, Fabrice Devaux, Jeremie S. Kim, Onur Mutlu","submitted_at":"2021-06-13T20:31:06Z","abstract_excerpt":"The purpose of this document is to study the security properties of the Silver Bullet algorithm against worst-case RowHammer attacks. We mathematically demonstrate that Silver Bullet, when properly configured and implemented in a DRAM chip, can securely prevent RowHammer attacks. The demonstration focuses on the most representative implementation of Silver Bullet, the patent claiming many implementation possibilities not covered in this demonstration. Our study concludes that Silver Bullet is a promising RowHammer prevention mechanism that can be configured to operate securely against RowHamme"},"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":"2106.07084","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2021-06-13T20:31:06Z","cross_cats_sorted":["cs.AR"],"title_canon_sha256":"52ec6afd22f9988b7cd28b40b039bf09e77689503c67f254b54134146583f10d","abstract_canon_sha256":"dc3ddae6e5064f14ead341dac2d82458eb91740a915cacae77494877b8c3a762"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:49:56.134033Z","signature_b64":"22bRcAMqvVDS/NVFzsxkPbYNdZZpnh89gl5QVZjWTCMlej45E8tR9LdJDxbT65RmZ4h+w7VmFxg9P7ufxvwVBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"87c44686a7c25685c306e325f87db7dbf8096ee8ae047a2a6f66ab5831149dc1","last_reissued_at":"2026-07-05T02:49:56.133545Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:49:56.133545Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Security Analysis of the Silver Bullet Technique for RowHammer Prevention","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AR"],"primary_cat":"cs.CR","authors_text":"Abdullah Giray Ya\\u{g}l{\\i}k\\c{c}{\\i}, Fabrice Devaux, Jeremie S. Kim, Onur Mutlu","submitted_at":"2021-06-13T20:31:06Z","abstract_excerpt":"The purpose of this document is to study the security properties of the Silver Bullet algorithm against worst-case RowHammer attacks. We mathematically demonstrate that Silver Bullet, when properly configured and implemented in a DRAM chip, can securely prevent RowHammer attacks. The demonstration focuses on the most representative implementation of Silver Bullet, the patent claiming many implementation possibilities not covered in this demonstration. Our study concludes that Silver Bullet is a promising RowHammer prevention mechanism that can be configured to operate securely against RowHamme"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.07084","kind":"arxiv","version":2},"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/2106.07084/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":"2106.07084","created_at":"2026-07-05T02:49:56.133604+00:00"},{"alias_kind":"arxiv_version","alias_value":"2106.07084v2","created_at":"2026-07-05T02:49:56.133604+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.07084","created_at":"2026-07-05T02:49:56.133604+00:00"},{"alias_kind":"pith_short_12","alias_value":"Q7CENBVHYJLI","created_at":"2026-07-05T02:49:56.133604+00:00"},{"alias_kind":"pith_short_16","alias_value":"Q7CENBVHYJLILQYG","created_at":"2026-07-05T02:49:56.133604+00:00"},{"alias_kind":"pith_short_8","alias_value":"Q7CENBVH","created_at":"2026-07-05T02:49:56.133604+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":5,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.22632","citing_title":"ColumnKeeper: Efficient Solutions to the ColumnDisturb Vulnerability in DRAM-based Systems","ref_index":104,"is_internal_anchor":false},{"citing_arxiv_id":"2606.22297","citing_title":"DejaVu: Why You Should Write to Your DRAM Rows Twice, Carefully","ref_index":153,"is_internal_anchor":false},{"citing_arxiv_id":"2606.07761","citing_title":"ScaleDisturb: Exploiting Temporal Asymmetry to Amplify Read Disturbance in Modern DRAM Chips","ref_index":57,"is_internal_anchor":false},{"citing_arxiv_id":"2605.17358","citing_title":"Loaded Dice: Solving the Non-Selection Problem for Scalable Probabilistic RowHammer Defense","ref_index":115,"is_internal_anchor":false},{"citing_arxiv_id":"2604.20576","citing_title":"PVAC: A RowHammer Mitigation Architecture Exploiting Per-victim-row Counting","ref_index":98,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P","json":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P.json","graph_json":"https://pith.science/api/pith-number/Q7CENBVHYJLILQYG4MS7Q7NX3P/graph.json","events_json":"https://pith.science/api/pith-number/Q7CENBVHYJLILQYG4MS7Q7NX3P/events.json","paper":"https://pith.science/paper/Q7CENBVH"},"agent_actions":{"view_html":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P","download_json":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P.json","view_paper":"https://pith.science/paper/Q7CENBVH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2106.07084&json=true","fetch_graph":"https://pith.science/api/pith-number/Q7CENBVHYJLILQYG4MS7Q7NX3P/graph.json","fetch_events":"https://pith.science/api/pith-number/Q7CENBVHYJLILQYG4MS7Q7NX3P/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P/action/timestamp_anchor","attest_storage":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P/action/storage_attestation","attest_author":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P/action/author_attestation","sign_citation":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P/action/citation_signature","submit_replication":"https://pith.science/pith/Q7CENBVHYJLILQYG4MS7Q7NX3P/action/replication_record"}},"created_at":"2026-07-05T02:49:56.133604+00:00","updated_at":"2026-07-05T02:49:56.133604+00:00"}