{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:I46XDHTQUPC5OEJSWC3XFPCAFZ","short_pith_number":"pith:I46XDHTQ","canonical_record":{"source":{"id":"2210.05370","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-10T03:50:16Z","cross_cats_sorted":["cs.CL","cs.SE"],"title_canon_sha256":"04c1c9b6ef46a4c975daec7b611e3a704c669dbfd9bdeb6d968414840b0b8f17","abstract_canon_sha256":"85a8a87608d9265989800e24253bb06ae58b422ce4017a496840afd675c7f0c3"},"schema_version":"1.0"},"canonical_sha256":"473d719e70a3c5d71132b0b772bc402e647dbd84f89e173fd0ec5dbb18f9315d","source":{"kind":"arxiv","id":"2210.05370","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05370","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05370v2","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05370","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"pith_short_12","alias_value":"I46XDHTQUPC5","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"pith_short_16","alias_value":"I46XDHTQUPC5OEJS","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"pith_short_8","alias_value":"I46XDHTQ","created_at":"2026-07-05T05:08:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:I46XDHTQUPC5OEJSWC3XFPCAFZ","target":"record","payload":{"canonical_record":{"source":{"id":"2210.05370","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-10T03:50:16Z","cross_cats_sorted":["cs.CL","cs.SE"],"title_canon_sha256":"04c1c9b6ef46a4c975daec7b611e3a704c669dbfd9bdeb6d968414840b0b8f17","abstract_canon_sha256":"85a8a87608d9265989800e24253bb06ae58b422ce4017a496840afd675c7f0c3"},"schema_version":"1.0"},"canonical_sha256":"473d719e70a3c5d71132b0b772bc402e647dbd84f89e173fd0ec5dbb18f9315d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:08:53.048954Z","signature_b64":"DMKkwqGc+eH47UGVvCsCt6hgFcjr+PixWK9hqc3sCfmZ2lmYiFidgOzBopgtuX2Z2v/X6lumylQ9oRBrAZnGBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"473d719e70a3c5d71132b0b772bc402e647dbd84f89e173fd0ec5dbb18f9315d","last_reissued_at":"2026-07-05T05:08:53.048543Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:08:53.048543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.05370","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":"2026-07-05T05:08:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NdP5khoZdvSbohdz6PQ3m8gH0FMoXvYussUbszo2J7trz7DfKJ4OFE3I5ZxjbypXBlURELCOHjfz/PKcBBC2AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:31:03.548400Z"},"content_sha256":"94f9ddd9bdd8e965329668c0639a4fa198431cd7ab4e7ea7df6df520ef8125cf","schema_version":"1.0","event_id":"sha256:94f9ddd9bdd8e965329668c0639a4fa198431cd7ab4e7ea7df6df520ef8125cf"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:I46XDHTQUPC5OEJSWC3XFPCAFZ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CL","cs.SE"],"primary_cat":"cs.LG","authors_text":"Cong Liu, Mirazul Haque, Simin Chen, Wei Yang","submitted_at":"2022-10-10T03:50:16Z","abstract_excerpt":"Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are being used on resource-constrained embedded devices. We observe that, similar to traditional software, redundant computation exists in AdNNs, resulting in considerable performance degradation. The performance degradation is dependent on the input and is referred to as input-dependent performance bottlenecks (IDPBs). To ensure an AdNN satisfies the performance requirements of resource-constrained applications, it is essential to conduct performance testing to detect IDPBs in the AdNN. Existing neural network testing method"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05370","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/2210.05370/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":"2026-07-05T05:08:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"zW5GPtt/RUBtm2SnwRvu8EMw64LW0h9nW8qZXw8yHkvWlHMta2ksHoi9ICi8bVbRO/JgTrBbGlqscISUA9CLBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T05:31:03.548940Z"},"content_sha256":"9eddc0139e9ca0d6be992c293389d122fa3f6361b502fa8d83469241444ce9a4","schema_version":"1.0","event_id":"sha256:9eddc0139e9ca0d6be992c293389d122fa3f6361b502fa8d83469241444ce9a4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I46XDHTQUPC5OEJSWC3XFPCAFZ/bundle.json","state_url":"https://pith.science/pith/I46XDHTQUPC5OEJSWC3XFPCAFZ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I46XDHTQUPC5OEJSWC3XFPCAFZ/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":"2026-08-05T05:31:03Z","links":{"resolver":"https://pith.science/pith/I46XDHTQUPC5OEJSWC3XFPCAFZ","bundle":"https://pith.science/pith/I46XDHTQUPC5OEJSWC3XFPCAFZ/bundle.json","state":"https://pith.science/pith/I46XDHTQUPC5OEJSWC3XFPCAFZ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I46XDHTQUPC5OEJSWC3XFPCAFZ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:I46XDHTQUPC5OEJSWC3XFPCAFZ","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":"85a8a87608d9265989800e24253bb06ae58b422ce4017a496840afd675c7f0c3","cross_cats_sorted":["cs.CL","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-10T03:50:16Z","title_canon_sha256":"04c1c9b6ef46a4c975daec7b611e3a704c669dbfd9bdeb6d968414840b0b8f17"},"schema_version":"1.0","source":{"id":"2210.05370","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.05370","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"arxiv_version","alias_value":"2210.05370v2","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.05370","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"pith_short_12","alias_value":"I46XDHTQUPC5","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"pith_short_16","alias_value":"I46XDHTQUPC5OEJS","created_at":"2026-07-05T05:08:53Z"},{"alias_kind":"pith_short_8","alias_value":"I46XDHTQ","created_at":"2026-07-05T05:08:53Z"}],"graph_snapshots":[{"event_id":"sha256:9eddc0139e9ca0d6be992c293389d122fa3f6361b502fa8d83469241444ce9a4","target":"graph","created_at":"2026-07-05T05:08:53Z","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/2210.05370/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are being used on resource-constrained embedded devices. We observe that, similar to traditional software, redundant computation exists in AdNNs, resulting in considerable performance degradation. The performance degradation is dependent on the input and is referred to as input-dependent performance bottlenecks (IDPBs). To ensure an AdNN satisfies the performance requirements of resource-constrained applications, it is essential to conduct performance testing to detect IDPBs in the AdNN. Existing neural network testing method","authors_text":"Cong Liu, Mirazul Haque, Simin Chen, Wei Yang","cross_cats":["cs.CL","cs.SE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-10T03:50:16Z","title":"DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.05370","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":"sha256:94f9ddd9bdd8e965329668c0639a4fa198431cd7ab4e7ea7df6df520ef8125cf","target":"record","created_at":"2026-07-05T05:08:53Z","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":"85a8a87608d9265989800e24253bb06ae58b422ce4017a496840afd675c7f0c3","cross_cats_sorted":["cs.CL","cs.SE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-10T03:50:16Z","title_canon_sha256":"04c1c9b6ef46a4c975daec7b611e3a704c669dbfd9bdeb6d968414840b0b8f17"},"schema_version":"1.0","source":{"id":"2210.05370","kind":"arxiv","version":2}},"canonical_sha256":"473d719e70a3c5d71132b0b772bc402e647dbd84f89e173fd0ec5dbb18f9315d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"473d719e70a3c5d71132b0b772bc402e647dbd84f89e173fd0ec5dbb18f9315d","first_computed_at":"2026-07-05T05:08:53.048543Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:08:53.048543Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DMKkwqGc+eH47UGVvCsCt6hgFcjr+PixWK9hqc3sCfmZ2lmYiFidgOzBopgtuX2Z2v/X6lumylQ9oRBrAZnGBw==","signature_status":"signed_v1","signed_at":"2026-07-05T05:08:53.048954Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.05370","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:94f9ddd9bdd8e965329668c0639a4fa198431cd7ab4e7ea7df6df520ef8125cf","sha256:9eddc0139e9ca0d6be992c293389d122fa3f6361b502fa8d83469241444ce9a4"],"state_sha256":"58f08fb03366b87b473d7170ff731c5a3cd1bef9a2b7a94c2f5a85dec5ee9705"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ar65mdl0mdK3jPIdgpzis14V7l9SqEqKoN0YGglVGTsXhMEpWi25YLY0tc4BbGmVypsZHC9FgUbUJfhQ9bvtDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T05:31:03.555393Z","bundle_sha256":"0b6478c5feb5fc3579062636debac2763b39bb41e177e9f1083041dba6d29a11"}}