{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:SEUBE3X3SP4PSL7ZZ4WHWXUUGW","short_pith_number":"pith:SEUBE3X3","canonical_record":{"source":{"id":"2311.14062","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T15:38:13Z","cross_cats_sorted":[],"title_canon_sha256":"8a4aa26d38ae117b59f78f2f22d07e5ca7b6e8090fa854cd84b11dd9ec61ef9c","abstract_canon_sha256":"2107c1866876de0e4496e9ddb1f771798cc686b27ad5035d18ae1d0143d2cd9d"},"schema_version":"1.0"},"canonical_sha256":"9128126efb93f8f92ff9cf2c7b5e9435b6153e99a5a5ca52c2723212ffefea76","source":{"kind":"arxiv","id":"2311.14062","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.14062","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"arxiv_version","alias_value":"2311.14062v2","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.14062","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"pith_short_12","alias_value":"SEUBE3X3SP4P","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"pith_short_16","alias_value":"SEUBE3X3SP4PSL7Z","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"pith_short_8","alias_value":"SEUBE3X3","created_at":"2026-07-05T07:20:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:SEUBE3X3SP4PSL7ZZ4WHWXUUGW","target":"record","payload":{"canonical_record":{"source":{"id":"2311.14062","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T15:38:13Z","cross_cats_sorted":[],"title_canon_sha256":"8a4aa26d38ae117b59f78f2f22d07e5ca7b6e8090fa854cd84b11dd9ec61ef9c","abstract_canon_sha256":"2107c1866876de0e4496e9ddb1f771798cc686b27ad5035d18ae1d0143d2cd9d"},"schema_version":"1.0"},"canonical_sha256":"9128126efb93f8f92ff9cf2c7b5e9435b6153e99a5a5ca52c2723212ffefea76","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:20:12.693062Z","signature_b64":"iiZgrnolnjEpHPKI0BLyXzgSfLggNAorYym/V7SdfA4/k0Fs6usfZEtWZp+4NXS5BVKkduE9QpY8HCc6s6BPBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9128126efb93f8f92ff9cf2c7b5e9435b6153e99a5a5ca52c2723212ffefea76","last_reissued_at":"2026-07-05T07:20:12.692717Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:20:12.692717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2311.14062","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:20:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"b6hxbpt1cNpz4o+fXrIptWkQtuNHWIV/eQCJl2hTFu8KuNtmwbbANLeMIjCR0tP6q9MttCoLH7CsaFdY/CqIAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:07:13.559134Z"},"content_sha256":"0040002051c55501a0585c5c7d7a5e77f3d6f6b57f6a12f426f5386ecb937665","schema_version":"1.0","event_id":"sha256:0040002051c55501a0585c5c7d7a5e77f3d6f6b57f6a12f426f5386ecb937665"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:SEUBE3X3SP4PSL7ZZ4WHWXUUGW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hardware Resilience Properties of Text-Guided Image Classifiers","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Abdulrahman Mahmoud, David Brooks, Gu-Yeon Wei, Kabila Haile Soboka, Salman Khan, Syed Talal Wasim","submitted_at":"2023-11-23T15:38:13Z","abstract_excerpt":"This paper presents a novel method to enhance the reliability of image classification models during deployment in the face of transient hardware errors. By utilizing enriched text embeddings derived from GPT-3 with question prompts per class and CLIP pretrained text encoder, we investigate their impact as an initialization for the classification layer. Our approach achieves a remarkable $5.5\\times$ average increase in hardware reliability (and up to $14\\times$) across various architectures in the most critical layer, with minimal accuracy drop ($0.3\\%$ on average) compared to baseline PyTorch "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.14062","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/2311.14062/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:20:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wxXWkU8sL5Vo8ZZl3IZMoNKxjCnSDckU90x2U/1VMWhXyQiDx+OnrbBzry+gPlBAZParY28RTKbpBpNDg2J5DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T05:07:13.559844Z"},"content_sha256":"527f4491e5f6ebe753bb4557ef745891f085977795f90344b949ceeaecca02d0","schema_version":"1.0","event_id":"sha256:527f4491e5f6ebe753bb4557ef745891f085977795f90344b949ceeaecca02d0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SEUBE3X3SP4PSL7ZZ4WHWXUUGW/bundle.json","state_url":"https://pith.science/pith/SEUBE3X3SP4PSL7ZZ4WHWXUUGW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SEUBE3X3SP4PSL7ZZ4WHWXUUGW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-07T05:07:13Z","links":{"resolver":"https://pith.science/pith/SEUBE3X3SP4PSL7ZZ4WHWXUUGW","bundle":"https://pith.science/pith/SEUBE3X3SP4PSL7ZZ4WHWXUUGW/bundle.json","state":"https://pith.science/pith/SEUBE3X3SP4PSL7ZZ4WHWXUUGW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SEUBE3X3SP4PSL7ZZ4WHWXUUGW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:SEUBE3X3SP4PSL7ZZ4WHWXUUGW","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":"2107c1866876de0e4496e9ddb1f771798cc686b27ad5035d18ae1d0143d2cd9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T15:38:13Z","title_canon_sha256":"8a4aa26d38ae117b59f78f2f22d07e5ca7b6e8090fa854cd84b11dd9ec61ef9c"},"schema_version":"1.0","source":{"id":"2311.14062","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2311.14062","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"arxiv_version","alias_value":"2311.14062v2","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2311.14062","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"pith_short_12","alias_value":"SEUBE3X3SP4P","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"pith_short_16","alias_value":"SEUBE3X3SP4PSL7Z","created_at":"2026-07-05T07:20:12Z"},{"alias_kind":"pith_short_8","alias_value":"SEUBE3X3","created_at":"2026-07-05T07:20:12Z"}],"graph_snapshots":[{"event_id":"sha256:527f4491e5f6ebe753bb4557ef745891f085977795f90344b949ceeaecca02d0","target":"graph","created_at":"2026-07-05T07:20:12Z","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/2311.14062/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper presents a novel method to enhance the reliability of image classification models during deployment in the face of transient hardware errors. By utilizing enriched text embeddings derived from GPT-3 with question prompts per class and CLIP pretrained text encoder, we investigate their impact as an initialization for the classification layer. Our approach achieves a remarkable $5.5\\times$ average increase in hardware reliability (and up to $14\\times$) across various architectures in the most critical layer, with minimal accuracy drop ($0.3\\%$ on average) compared to baseline PyTorch ","authors_text":"Abdulrahman Mahmoud, David Brooks, Gu-Yeon Wei, Kabila Haile Soboka, Salman Khan, Syed Talal Wasim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T15:38:13Z","title":"Hardware Resilience Properties of Text-Guided Image Classifiers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2311.14062","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":"sha256:0040002051c55501a0585c5c7d7a5e77f3d6f6b57f6a12f426f5386ecb937665","target":"record","created_at":"2026-07-05T07:20:12Z","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":"2107c1866876de0e4496e9ddb1f771798cc686b27ad5035d18ae1d0143d2cd9d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2023-11-23T15:38:13Z","title_canon_sha256":"8a4aa26d38ae117b59f78f2f22d07e5ca7b6e8090fa854cd84b11dd9ec61ef9c"},"schema_version":"1.0","source":{"id":"2311.14062","kind":"arxiv","version":2}},"canonical_sha256":"9128126efb93f8f92ff9cf2c7b5e9435b6153e99a5a5ca52c2723212ffefea76","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9128126efb93f8f92ff9cf2c7b5e9435b6153e99a5a5ca52c2723212ffefea76","first_computed_at":"2026-07-05T07:20:12.692717Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:20:12.692717Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iiZgrnolnjEpHPKI0BLyXzgSfLggNAorYym/V7SdfA4/k0Fs6usfZEtWZp+4NXS5BVKkduE9QpY8HCc6s6BPBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:20:12.693062Z","signed_message":"canonical_sha256_bytes"},"source_id":"2311.14062","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0040002051c55501a0585c5c7d7a5e77f3d6f6b57f6a12f426f5386ecb937665","sha256:527f4491e5f6ebe753bb4557ef745891f085977795f90344b949ceeaecca02d0"],"state_sha256":"80c8b85cf6452b954d126ae2e5ae53fbd307eb906dda495b4d8f6c5be6ac035e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"66i7rhYbISJbWY/3ztL40U6Ve7vDcBP82VrTKQasinc8f7WjUs/sL67VXf2m2K19z0xc99Af7rO4QL4JtCE/AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T05:07:13.563526Z","bundle_sha256":"e29641ad32e0e7a1d711f06c2549ff14a51ee8c85c4f05d22002130c4eea8517"}}