{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:V7I3DL4XNPE5VQ5MF6AFAA3MDU","short_pith_number":"pith:V7I3DL4X","canonical_record":{"source":{"id":"2306.01697","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-02T17:15:19Z","cross_cats_sorted":["cs.SE","cs.SY","eess.SY"],"title_canon_sha256":"713a0119bf6fc416051845352946b06ab605d3bdc1d800403555ee086046a62d","abstract_canon_sha256":"390553d7fa596144684530d4cb26929af8424cc981eb8c9579bd43e291d5232f"},"schema_version":"1.0"},"canonical_sha256":"afd1b1af976bc9dac3ac2f8050036c1d1acaaf03d15dbfdb69edf36aa2748b89","source":{"kind":"arxiv","id":"2306.01697","version":6},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01697","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01697v6","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01697","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"pith_short_12","alias_value":"V7I3DL4XNPE5","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"pith_short_16","alias_value":"V7I3DL4XNPE5VQ5M","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"pith_short_8","alias_value":"V7I3DL4X","created_at":"2026-07-05T10:38:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:V7I3DL4XNPE5VQ5MF6AFAA3MDU","target":"record","payload":{"canonical_record":{"source":{"id":"2306.01697","kind":"arxiv","version":6},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-02T17:15:19Z","cross_cats_sorted":["cs.SE","cs.SY","eess.SY"],"title_canon_sha256":"713a0119bf6fc416051845352946b06ab605d3bdc1d800403555ee086046a62d","abstract_canon_sha256":"390553d7fa596144684530d4cb26929af8424cc981eb8c9579bd43e291d5232f"},"schema_version":"1.0"},"canonical_sha256":"afd1b1af976bc9dac3ac2f8050036c1d1acaaf03d15dbfdb69edf36aa2748b89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:38:30.496653Z","signature_b64":"zZdUiAKpku45B/Hje99bLb3c/s0+kKk4XTZkI5dSMTb4bSZk/P0zJLgd3xuP8YBmlftwmJ7xqhEc11MnyWFnCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afd1b1af976bc9dac3ac2f8050036c1d1acaaf03d15dbfdb69edf36aa2748b89","last_reissued_at":"2026-07-05T10:38:30.496141Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:38:30.496141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2306.01697","source_version":6,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:38:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DaJ7dLADY3lK65tAqZMHa4PY8x0VevoOEneyzMkujrgW19fvcuB4Ykn7o6zKi8QW3srbqTyg0mL0mHkhZylvDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T06:31:25.169196Z"},"content_sha256":"55521f53d0bca1aa4bdc3dfc30b665d79651d216aaa8e80b34d8ef1dc1a97e3f","schema_version":"1.0","event_id":"sha256:55521f53d0bca1aa4bdc3dfc30b665d79651d216aaa8e80b34d8ef1dc1a97e3f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:V7I3DL4XNPE5VQ5MF6AFAA3MDU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Robustness of Image Recognition Models on Hardware Accelerators","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.SE","cs.SY","eess.SY"],"primary_cat":"cs.LG","authors_text":"Ajitha Rajan, Jos\\'e Cano, Nikolaos Louloudakis, Perry Gibson","submitted_at":"2023-06-02T17:15:19Z","abstract_excerpt":"As the usage of Artificial Intelligence (AI) on resource-intensive and safety-critical tasks increases, a variety of Machine Learning (ML) compilers have been developed, enabling compatibility of Deep Neural Networks (DNNs) with a variety of hardware acceleration devices. However, given that DNNs are widely utilized for challenging and demanding tasks, the behavior of these compilers must be verified. To this direction, we propose MutateNN, a tool that utilizes elements of both differential and mutation testing in order to examine the robustness of image recognition models when deployed on har"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01697","kind":"arxiv","version":6},"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/2306.01697/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":"2026-07-05T10:38:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"FTNp6njp+ZEUA0IL8zmtX6mOq3vJTuEeRigD3NGuebk2j2oTuxrOtp/yoiKUDIKG0YR7p+yjtKP7NLFCvU8HAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T06:31:25.170029Z"},"content_sha256":"08c650847b603cbfa4c3fae92d58b9a717fbcc88cdcee34f49b6e991936f99c9","schema_version":"1.0","event_id":"sha256:08c650847b603cbfa4c3fae92d58b9a717fbcc88cdcee34f49b6e991936f99c9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V7I3DL4XNPE5VQ5MF6AFAA3MDU/bundle.json","state_url":"https://pith.science/pith/V7I3DL4XNPE5VQ5MF6AFAA3MDU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V7I3DL4XNPE5VQ5MF6AFAA3MDU/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":"2026-08-21T06:31:25Z","links":{"resolver":"https://pith.science/pith/V7I3DL4XNPE5VQ5MF6AFAA3MDU","bundle":"https://pith.science/pith/V7I3DL4XNPE5VQ5MF6AFAA3MDU/bundle.json","state":"https://pith.science/pith/V7I3DL4XNPE5VQ5MF6AFAA3MDU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V7I3DL4XNPE5VQ5MF6AFAA3MDU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:V7I3DL4XNPE5VQ5MF6AFAA3MDU","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":"390553d7fa596144684530d4cb26929af8424cc981eb8c9579bd43e291d5232f","cross_cats_sorted":["cs.SE","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-02T17:15:19Z","title_canon_sha256":"713a0119bf6fc416051845352946b06ab605d3bdc1d800403555ee086046a62d"},"schema_version":"1.0","source":{"id":"2306.01697","kind":"arxiv","version":6}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.01697","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"arxiv_version","alias_value":"2306.01697v6","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.01697","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"pith_short_12","alias_value":"V7I3DL4XNPE5","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"pith_short_16","alias_value":"V7I3DL4XNPE5VQ5M","created_at":"2026-07-05T10:38:30Z"},{"alias_kind":"pith_short_8","alias_value":"V7I3DL4X","created_at":"2026-07-05T10:38:30Z"}],"graph_snapshots":[{"event_id":"sha256:08c650847b603cbfa4c3fae92d58b9a717fbcc88cdcee34f49b6e991936f99c9","target":"graph","created_at":"2026-07-05T10:38:30Z","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/2306.01697/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the usage of Artificial Intelligence (AI) on resource-intensive and safety-critical tasks increases, a variety of Machine Learning (ML) compilers have been developed, enabling compatibility of Deep Neural Networks (DNNs) with a variety of hardware acceleration devices. However, given that DNNs are widely utilized for challenging and demanding tasks, the behavior of these compilers must be verified. To this direction, we propose MutateNN, a tool that utilizes elements of both differential and mutation testing in order to examine the robustness of image recognition models when deployed on har","authors_text":"Ajitha Rajan, Jos\\'e Cano, Nikolaos Louloudakis, Perry Gibson","cross_cats":["cs.SE","cs.SY","eess.SY"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-02T17:15:19Z","title":"Exploring Robustness of Image Recognition Models on Hardware Accelerators"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.01697","kind":"arxiv","version":6},"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":"sha256:55521f53d0bca1aa4bdc3dfc30b665d79651d216aaa8e80b34d8ef1dc1a97e3f","target":"record","created_at":"2026-07-05T10:38:30Z","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":"390553d7fa596144684530d4cb26929af8424cc981eb8c9579bd43e291d5232f","cross_cats_sorted":["cs.SE","cs.SY","eess.SY"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2023-06-02T17:15:19Z","title_canon_sha256":"713a0119bf6fc416051845352946b06ab605d3bdc1d800403555ee086046a62d"},"schema_version":"1.0","source":{"id":"2306.01697","kind":"arxiv","version":6}},"canonical_sha256":"afd1b1af976bc9dac3ac2f8050036c1d1acaaf03d15dbfdb69edf36aa2748b89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afd1b1af976bc9dac3ac2f8050036c1d1acaaf03d15dbfdb69edf36aa2748b89","first_computed_at":"2026-07-05T10:38:30.496141Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:38:30.496141Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zZdUiAKpku45B/Hje99bLb3c/s0+kKk4XTZkI5dSMTb4bSZk/P0zJLgd3xuP8YBmlftwmJ7xqhEc11MnyWFnCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:38:30.496653Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.01697","source_kind":"arxiv","source_version":6}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:55521f53d0bca1aa4bdc3dfc30b665d79651d216aaa8e80b34d8ef1dc1a97e3f","sha256:08c650847b603cbfa4c3fae92d58b9a717fbcc88cdcee34f49b6e991936f99c9"],"state_sha256":"a2d57ea088325c80c6bf677702fd39865aac59077273e248c76a10fa6d3f4e37"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3SKChmc8yWF39UuIZB9RikUpzmXyR9qcD4eUyfStuRSI0ImgjOcWBBDUpk+SXZKprhGwywcu1QbGaaSv3UbGAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T06:31:25.175999Z","bundle_sha256":"e6c2a9916e6811cd5f7d8ee033120259ac86323214611474b82b86647299d69e"}}