{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LDB6Y2G2Y63RIXRSJXOH4N2NMI","short_pith_number":"pith:LDB6Y2G2","canonical_record":{"source":{"id":"2505.03303","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T08:36:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1da7ba6582b3fff56c41b3eb86cc77896cfc04e11d6fdf75110b5781c7408dd5","abstract_canon_sha256":"0e911d2dfe5379bc64e2e1cc2cabdcfc334f5eb8e92e84f1cc932ad0a86cb670"},"schema_version":"1.0"},"canonical_sha256":"58c3ec68dac7b7145e324ddc7e374d62330801c7828e79745803f4f0764170b4","source":{"kind":"arxiv","id":"2505.03303","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03303","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03303v3","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03303","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"pith_short_12","alias_value":"LDB6Y2G2Y63R","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"pith_short_16","alias_value":"LDB6Y2G2Y63RIXRS","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"pith_short_8","alias_value":"LDB6Y2G2","created_at":"2026-07-01T01:17:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LDB6Y2G2Y63RIXRSJXOH4N2NMI","target":"record","payload":{"canonical_record":{"source":{"id":"2505.03303","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T08:36:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"1da7ba6582b3fff56c41b3eb86cc77896cfc04e11d6fdf75110b5781c7408dd5","abstract_canon_sha256":"0e911d2dfe5379bc64e2e1cc2cabdcfc334f5eb8e92e84f1cc932ad0a86cb670"},"schema_version":"1.0"},"canonical_sha256":"58c3ec68dac7b7145e324ddc7e374d62330801c7828e79745803f4f0764170b4","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-01T01:17:39.837350Z","signature_b64":"zu11apTlH4QczbdC1HKqSpOpx3LfU5++S37HEix7WlWaiQVYqCKB7gmUt8cYEbgYcyd5Y3T8DXleStVOtBvEDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"58c3ec68dac7b7145e324ddc7e374d62330801c7828e79745803f4f0764170b4","last_reissued_at":"2026-07-01T01:17:39.836902Z","signature_status":"signed_v1","first_computed_at":"2026-07-01T01:17:39.836902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.03303","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-01T01:17:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"iCDKk7RKjQyq4TyrX/qnGZlcW3rzbhWgVZStgEeAMppuxxhSMDtB+shdQsm25iMVIHMOGoNR7t/Y/7vilZfoAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T13:17:01.067524Z"},"content_sha256":"bbb9b8c34f2a872c3b5c2fe53039ef6b9124fffea3529f7f7ebf00d512f237cb","schema_version":"1.0","event_id":"sha256:bbb9b8c34f2a872c3b5c2fe53039ef6b9124fffea3529f7f7ebf00d512f237cb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LDB6Y2G2Y63RIXRSJXOH4N2NMI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Reproducible Benchmark of Lightweight CNNs: Accuracy, Efficiency, and the Impact of Pretrained Initialization","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Tasnim Shahriar","submitted_at":"2025-05-06T08:36:01Z","abstract_excerpt":"Lightweight convolutional neural networks are often compared using results obtained with different training recipes, input settings, and pretrained checkpoints. Such differences make architecture rankings difficult to interpret. This study presents a reproducible benchmark of seven established CNNs across CIFAR-10, CIFAR-100, and Tiny ImageNet under one common fine-tuning protocol. The evaluation reports top-1 accuracy, macro F1, top-5 accuracy, parameter count, FP32 parameter storage, and multiply-accumulate operations. EfficientNetV2-S records the highest observed top-1 accuracy on all three"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03303","kind":"arxiv","version":3},"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/2505.03303/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":"2026-07-01T01:17:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4d3GPtnA7uh2i3+p0YWQsn6xBzgxpaiyaylOzqTzVAZ3Fzx0TSYtUTYMY5hdoFiiOC8Ao7fBRypwsfDZ1DzKAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-23T13:17:01.067980Z"},"content_sha256":"ab7f3be9edd99bbe3091b2763e3cb7d83476ba9c9c7c0d2762c4b27a1c821885","schema_version":"1.0","event_id":"sha256:ab7f3be9edd99bbe3091b2763e3cb7d83476ba9c9c7c0d2762c4b27a1c821885"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LDB6Y2G2Y63RIXRSJXOH4N2NMI/bundle.json","state_url":"https://pith.science/pith/LDB6Y2G2Y63RIXRSJXOH4N2NMI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LDB6Y2G2Y63RIXRSJXOH4N2NMI/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":"2026-08-23T13:17:01Z","links":{"resolver":"https://pith.science/pith/LDB6Y2G2Y63RIXRSJXOH4N2NMI","bundle":"https://pith.science/pith/LDB6Y2G2Y63RIXRSJXOH4N2NMI/bundle.json","state":"https://pith.science/pith/LDB6Y2G2Y63RIXRSJXOH4N2NMI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LDB6Y2G2Y63RIXRSJXOH4N2NMI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LDB6Y2G2Y63RIXRSJXOH4N2NMI","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":"0e911d2dfe5379bc64e2e1cc2cabdcfc334f5eb8e92e84f1cc932ad0a86cb670","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T08:36:01Z","title_canon_sha256":"1da7ba6582b3fff56c41b3eb86cc77896cfc04e11d6fdf75110b5781c7408dd5"},"schema_version":"1.0","source":{"id":"2505.03303","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.03303","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"arxiv_version","alias_value":"2505.03303v3","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03303","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"pith_short_12","alias_value":"LDB6Y2G2Y63R","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"pith_short_16","alias_value":"LDB6Y2G2Y63RIXRS","created_at":"2026-07-01T01:17:39Z"},{"alias_kind":"pith_short_8","alias_value":"LDB6Y2G2","created_at":"2026-07-01T01:17:39Z"}],"graph_snapshots":[{"event_id":"sha256:ab7f3be9edd99bbe3091b2763e3cb7d83476ba9c9c7c0d2762c4b27a1c821885","target":"graph","created_at":"2026-07-01T01:17:39Z","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/2505.03303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Lightweight convolutional neural networks are often compared using results obtained with different training recipes, input settings, and pretrained checkpoints. Such differences make architecture rankings difficult to interpret. This study presents a reproducible benchmark of seven established CNNs across CIFAR-10, CIFAR-100, and Tiny ImageNet under one common fine-tuning protocol. The evaluation reports top-1 accuracy, macro F1, top-5 accuracy, parameter count, FP32 parameter storage, and multiply-accumulate operations. EfficientNetV2-S records the highest observed top-1 accuracy on all three","authors_text":"Tasnim Shahriar","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T08:36:01Z","title":"A Reproducible Benchmark of Lightweight CNNs: Accuracy, Efficiency, and the Impact of Pretrained Initialization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03303","kind":"arxiv","version":3},"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:bbb9b8c34f2a872c3b5c2fe53039ef6b9124fffea3529f7f7ebf00d512f237cb","target":"record","created_at":"2026-07-01T01:17:39Z","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":"0e911d2dfe5379bc64e2e1cc2cabdcfc334f5eb8e92e84f1cc932ad0a86cb670","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-05-06T08:36:01Z","title_canon_sha256":"1da7ba6582b3fff56c41b3eb86cc77896cfc04e11d6fdf75110b5781c7408dd5"},"schema_version":"1.0","source":{"id":"2505.03303","kind":"arxiv","version":3}},"canonical_sha256":"58c3ec68dac7b7145e324ddc7e374d62330801c7828e79745803f4f0764170b4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"58c3ec68dac7b7145e324ddc7e374d62330801c7828e79745803f4f0764170b4","first_computed_at":"2026-07-01T01:17:39.836902Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-01T01:17:39.836902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zu11apTlH4QczbdC1HKqSpOpx3LfU5++S37HEix7WlWaiQVYqCKB7gmUt8cYEbgYcyd5Y3T8DXleStVOtBvEDA==","signature_status":"signed_v1","signed_at":"2026-07-01T01:17:39.837350Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.03303","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bbb9b8c34f2a872c3b5c2fe53039ef6b9124fffea3529f7f7ebf00d512f237cb","sha256:ab7f3be9edd99bbe3091b2763e3cb7d83476ba9c9c7c0d2762c4b27a1c821885"],"state_sha256":"986bf820bd62844b544eee0e0dbd2aabd8c39b7a8ed839f96839f1e27472b9da"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UMNAiLuUlpBsCbsjsKV2F1jACjJsZYng8M9at4Ym+S/kXTNsZCyqdFHz8ykhA2YcBuUaZYLPKE0fkjGPzpsuBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-23T13:17:01.070588Z","bundle_sha256":"f269ad5b946ea5202b882bdc946b9998a40db37e414aa7845a522cb56bee0387"}}