{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:GG5RJUC2RGYLIO3RGDCMMXH6MU","short_pith_number":"pith:GG5RJUC2","canonical_record":{"source":{"id":"2207.06282","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-07-13T15:27:51Z","cross_cats_sorted":["cs.AI","cs.SE"],"title_canon_sha256":"b68d90422a233b7e4bf7bdb2cda6337b698e5a75d9767a60d03f5411efdf29cc","abstract_canon_sha256":"227527cdc97a591dbc1a95593a314626e97430674384fee81ea4e1e2e9d3dc47"},"schema_version":"1.0"},"canonical_sha256":"31bb14d05a89b0b43b7130c4c65cfe652c94ea6b297112cb1da74ac74d4e8cdf","source":{"kind":"arxiv","id":"2207.06282","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.06282","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"arxiv_version","alias_value":"2207.06282v1","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.06282","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"pith_short_12","alias_value":"GG5RJUC2RGYL","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"pith_short_16","alias_value":"GG5RJUC2RGYLIO3R","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"pith_short_8","alias_value":"GG5RJUC2","created_at":"2026-07-05T05:04:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:GG5RJUC2RGYLIO3RGDCMMXH6MU","target":"record","payload":{"canonical_record":{"source":{"id":"2207.06282","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-07-13T15:27:51Z","cross_cats_sorted":["cs.AI","cs.SE"],"title_canon_sha256":"b68d90422a233b7e4bf7bdb2cda6337b698e5a75d9767a60d03f5411efdf29cc","abstract_canon_sha256":"227527cdc97a591dbc1a95593a314626e97430674384fee81ea4e1e2e9d3dc47"},"schema_version":"1.0"},"canonical_sha256":"31bb14d05a89b0b43b7130c4c65cfe652c94ea6b297112cb1da74ac74d4e8cdf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:04:14.086512Z","signature_b64":"C8qhZf18BX3VcKRJjj0EseVB8gDWl5PlOlEoTkwKwiq+wTOYnPD5CRyWrJ5ObvzK21JXAm3W0GslcLKko/GNCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"31bb14d05a89b0b43b7130c4c65cfe652c94ea6b297112cb1da74ac74d4e8cdf","last_reissued_at":"2026-07-05T05:04:14.086085Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:04:14.086085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2207.06282","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:04:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5FFMW1P6t+SeCGHbRtDL5iMhIbHwqvuo9pSn89OCEt4o3YbnXXq0cuJRRy6uwgGsqjv0d6gMzKlCfFZ1QJmXCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:26.328833Z"},"content_sha256":"fef93efac1a06ff4e0cd88d044612d1dcbe596f3e34eef2f317cfe47cb724534","schema_version":"1.0","event_id":"sha256:fef93efac1a06ff4e0cd88d044612d1dcbe596f3e34eef2f317cfe47cb724534"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:GG5RJUC2RGYLIO3RGDCMMXH6MU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.SE"],"primary_cat":"cs.LG","authors_text":"Ahmed Haj Yahmed, Foutse Khomh, Houssem Ben Braiek, Rania Zaatour, Sonia Bouzidi","submitted_at":"2022-07-13T15:27:51Z","abstract_excerpt":"Quantization is one of the most applied Deep Neural Network (DNN) compression strategies, when deploying a trained DNN model on an embedded system or a cell phone. This is owing to its simplicity and adaptability to a wide range of applications and circumstances, as opposed to specific Artificial Intelligence (AI) accelerators and compilers that are often designed only for certain specific hardware (e.g., Google Coral Edge TPU). With the growing demand for quantization, ensuring the reliability of this strategy is becoming a critical challenge. Traditional testing methods, which gather more an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.06282","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/2207.06282/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":"2026-07-05T05:04:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g3735aLbWwED+uxvZbLeeTrJLzERcK30rpOsbEEo/nwGbBqekc7/P8JDsm55uv0+GcJbRyk8Zidexc94VIhWAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:05:26.329201Z"},"content_sha256":"8f36fcdc7b812efb4d079e120849116639018c102d4a856e09a800d50c08404d","schema_version":"1.0","event_id":"sha256:8f36fcdc7b812efb4d079e120849116639018c102d4a856e09a800d50c08404d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GG5RJUC2RGYLIO3RGDCMMXH6MU/bundle.json","state_url":"https://pith.science/pith/GG5RJUC2RGYLIO3RGDCMMXH6MU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GG5RJUC2RGYLIO3RGDCMMXH6MU/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":"2026-07-06T19:05:26Z","links":{"resolver":"https://pith.science/pith/GG5RJUC2RGYLIO3RGDCMMXH6MU","bundle":"https://pith.science/pith/GG5RJUC2RGYLIO3RGDCMMXH6MU/bundle.json","state":"https://pith.science/pith/GG5RJUC2RGYLIO3RGDCMMXH6MU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GG5RJUC2RGYLIO3RGDCMMXH6MU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:GG5RJUC2RGYLIO3RGDCMMXH6MU","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":"227527cdc97a591dbc1a95593a314626e97430674384fee81ea4e1e2e9d3dc47","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-07-13T15:27:51Z","title_canon_sha256":"b68d90422a233b7e4bf7bdb2cda6337b698e5a75d9767a60d03f5411efdf29cc"},"schema_version":"1.0","source":{"id":"2207.06282","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2207.06282","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"arxiv_version","alias_value":"2207.06282v1","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2207.06282","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"pith_short_12","alias_value":"GG5RJUC2RGYL","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"pith_short_16","alias_value":"GG5RJUC2RGYLIO3R","created_at":"2026-07-05T05:04:14Z"},{"alias_kind":"pith_short_8","alias_value":"GG5RJUC2","created_at":"2026-07-05T05:04:14Z"}],"graph_snapshots":[{"event_id":"sha256:8f36fcdc7b812efb4d079e120849116639018c102d4a856e09a800d50c08404d","target":"graph","created_at":"2026-07-05T05:04:14Z","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/2207.06282/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Quantization is one of the most applied Deep Neural Network (DNN) compression strategies, when deploying a trained DNN model on an embedded system or a cell phone. This is owing to its simplicity and adaptability to a wide range of applications and circumstances, as opposed to specific Artificial Intelligence (AI) accelerators and compilers that are often designed only for certain specific hardware (e.g., Google Coral Edge TPU). With the growing demand for quantization, ensuring the reliability of this strategy is becoming a critical challenge. Traditional testing methods, which gather more an","authors_text":"Ahmed Haj Yahmed, Foutse Khomh, Houssem Ben Braiek, Rania Zaatour, Sonia Bouzidi","cross_cats":["cs.AI","cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-07-13T15:27:51Z","title":"DiverGet: A Search-Based Software Testing Approach for Deep Neural Network Quantization Assessment"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2207.06282","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:fef93efac1a06ff4e0cd88d044612d1dcbe596f3e34eef2f317cfe47cb724534","target":"record","created_at":"2026-07-05T05:04:14Z","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":"227527cdc97a591dbc1a95593a314626e97430674384fee81ea4e1e2e9d3dc47","cross_cats_sorted":["cs.AI","cs.SE"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2022-07-13T15:27:51Z","title_canon_sha256":"b68d90422a233b7e4bf7bdb2cda6337b698e5a75d9767a60d03f5411efdf29cc"},"schema_version":"1.0","source":{"id":"2207.06282","kind":"arxiv","version":1}},"canonical_sha256":"31bb14d05a89b0b43b7130c4c65cfe652c94ea6b297112cb1da74ac74d4e8cdf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"31bb14d05a89b0b43b7130c4c65cfe652c94ea6b297112cb1da74ac74d4e8cdf","first_computed_at":"2026-07-05T05:04:14.086085Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:04:14.086085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"C8qhZf18BX3VcKRJjj0EseVB8gDWl5PlOlEoTkwKwiq+wTOYnPD5CRyWrJ5ObvzK21JXAm3W0GslcLKko/GNCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:04:14.086512Z","signed_message":"canonical_sha256_bytes"},"source_id":"2207.06282","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fef93efac1a06ff4e0cd88d044612d1dcbe596f3e34eef2f317cfe47cb724534","sha256:8f36fcdc7b812efb4d079e120849116639018c102d4a856e09a800d50c08404d"],"state_sha256":"f10bd4f5eb5bf519b48c6476b1a9002f5bb01ec04c7128b84b96ac1291fa29ef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UeY35lMYZcxlQbQXE9iknBbzyJMfpZPMUXOnnPxENmdLv537fsVW1dFnfJqavRVcdgO6vyXOPbhzApkvohJ9AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:05:26.331185Z","bundle_sha256":"5adf35547bd3c76eefcf3c8507dfa411b685b21e6ee09048cf21a0e380afafc4"}}