{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LSD6QEFAZ5O2XEZWDZHUFCVHJK","short_pith_number":"pith:LSD6QEFA","canonical_record":{"source":{"id":"2506.03184","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T10:58:31Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"564a521ccd3a716cc28f679e16e7649065deb255745f96d535695c38118c2599","abstract_canon_sha256":"996bc9660e07e7d70b9d492ca6d4b60aaa3719fd0fdb68ab8eef53903cc1a7cc"},"schema_version":"1.0"},"canonical_sha256":"5c87e810a0cf5dab93361e4f428aa74a8798d502ad60a2d8b01adaf5f05e4410","source":{"kind":"arxiv","id":"2506.03184","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03184","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03184v1","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03184","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"pith_short_12","alias_value":"LSD6QEFAZ5O2","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"pith_short_16","alias_value":"LSD6QEFAZ5O2XEZW","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"pith_short_8","alias_value":"LSD6QEFA","created_at":"2026-07-05T11:15:22Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LSD6QEFAZ5O2XEZWDZHUFCVHJK","target":"record","payload":{"canonical_record":{"source":{"id":"2506.03184","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T10:58:31Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"564a521ccd3a716cc28f679e16e7649065deb255745f96d535695c38118c2599","abstract_canon_sha256":"996bc9660e07e7d70b9d492ca6d4b60aaa3719fd0fdb68ab8eef53903cc1a7cc"},"schema_version":"1.0"},"canonical_sha256":"5c87e810a0cf5dab93361e4f428aa74a8798d502ad60a2d8b01adaf5f05e4410","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:22.695394Z","signature_b64":"VYazL/yhXCguCpU0MWxwtcaYa954mrsftOqm2nVbs0WhG1fzsZOmxwnBbuUdMOurvN7lYDhKcCrlQ3HbHe5IBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c87e810a0cf5dab93361e4f428aa74a8798d502ad60a2d8b01adaf5f05e4410","last_reissued_at":"2026-07-05T11:15:22.694861Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:22.694861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.03184","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":"2026-07-05T11:15:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h7wHBQimht28zX1Ftm2TvYHu6ivI9EBcG58Av5ungMJ49+9BCOzgTb0tIjUY20xPgvCX60fEz//Xtc+1dqPJDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T02:08:46.549866Z"},"content_sha256":"306e417b865fea9000fa871e4fa2b1c684d289d18428f86b2c4d24cf4cbefe7a","schema_version":"1.0","event_id":"sha256:306e417b865fea9000fa871e4fa2b1c684d289d18428f86b2c4d24cf4cbefe7a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LSD6QEFAZ5O2XEZWDZHUFCVHJK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Impact of Tuning Parameters in Deep Convolutional Neural Network Using a Crack Image Dataset","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Ho-Jin Choi, Jia Uddin, Mahe Zabin, Md. Monirul Islam","submitted_at":"2025-05-30T10:58:31Z","abstract_excerpt":"The performance of a classifier depends on the tuning of its parame ters. In this paper, we have experimented the impact of various tuning parameters on the performance of a deep convolutional neural network (DCNN). In the ex perimental evaluation, we have considered a DCNN classifier that consists of 2 convolutional layers (CL), 2 pooling layers (PL), 1 dropout, and a dense layer. To observe the impact of pooling, activation function, and optimizer tuning pa rameters, we utilized a crack image dataset having two classes: negative and pos itive. The experimental results demonstrate that with t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03184","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/2506.03184/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":"2026-07-05T11:15:22Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VrhoTsVKoEDk7lnUoj21tmYQ69mY4/VMAoV00kqa0T7L971dEH9Arv0YR2CY2zpyGS5KRT/qT3vkapP5KEd6BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T02:08:46.550359Z"},"content_sha256":"b14c41ac3ec9dab1d6acdb4d1925914a89b68b554a543b46f6035e26c5767153","schema_version":"1.0","event_id":"sha256:b14c41ac3ec9dab1d6acdb4d1925914a89b68b554a543b46f6035e26c5767153"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LSD6QEFAZ5O2XEZWDZHUFCVHJK/bundle.json","state_url":"https://pith.science/pith/LSD6QEFAZ5O2XEZWDZHUFCVHJK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LSD6QEFAZ5O2XEZWDZHUFCVHJK/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":"2026-08-08T02:08:46Z","links":{"resolver":"https://pith.science/pith/LSD6QEFAZ5O2XEZWDZHUFCVHJK","bundle":"https://pith.science/pith/LSD6QEFAZ5O2XEZWDZHUFCVHJK/bundle.json","state":"https://pith.science/pith/LSD6QEFAZ5O2XEZWDZHUFCVHJK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LSD6QEFAZ5O2XEZWDZHUFCVHJK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LSD6QEFAZ5O2XEZWDZHUFCVHJK","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":"996bc9660e07e7d70b9d492ca6d4b60aaa3719fd0fdb68ab8eef53903cc1a7cc","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T10:58:31Z","title_canon_sha256":"564a521ccd3a716cc28f679e16e7649065deb255745f96d535695c38118c2599"},"schema_version":"1.0","source":{"id":"2506.03184","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.03184","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"arxiv_version","alias_value":"2506.03184v1","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.03184","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"pith_short_12","alias_value":"LSD6QEFAZ5O2","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"pith_short_16","alias_value":"LSD6QEFAZ5O2XEZW","created_at":"2026-07-05T11:15:22Z"},{"alias_kind":"pith_short_8","alias_value":"LSD6QEFA","created_at":"2026-07-05T11:15:22Z"}],"graph_snapshots":[{"event_id":"sha256:b14c41ac3ec9dab1d6acdb4d1925914a89b68b554a543b46f6035e26c5767153","target":"graph","created_at":"2026-07-05T11:15:22Z","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/2506.03184/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The performance of a classifier depends on the tuning of its parame ters. In this paper, we have experimented the impact of various tuning parameters on the performance of a deep convolutional neural network (DCNN). In the ex perimental evaluation, we have considered a DCNN classifier that consists of 2 convolutional layers (CL), 2 pooling layers (PL), 1 dropout, and a dense layer. To observe the impact of pooling, activation function, and optimizer tuning pa rameters, we utilized a crack image dataset having two classes: negative and pos itive. The experimental results demonstrate that with t","authors_text":"Ho-Jin Choi, Jia Uddin, Mahe Zabin, Md. Monirul Islam","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T10:58:31Z","title":"Impact of Tuning Parameters in Deep Convolutional Neural Network Using a Crack Image Dataset"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.03184","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":"sha256:306e417b865fea9000fa871e4fa2b1c684d289d18428f86b2c4d24cf4cbefe7a","target":"record","created_at":"2026-07-05T11:15:22Z","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":"996bc9660e07e7d70b9d492ca6d4b60aaa3719fd0fdb68ab8eef53903cc1a7cc","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T10:58:31Z","title_canon_sha256":"564a521ccd3a716cc28f679e16e7649065deb255745f96d535695c38118c2599"},"schema_version":"1.0","source":{"id":"2506.03184","kind":"arxiv","version":1}},"canonical_sha256":"5c87e810a0cf5dab93361e4f428aa74a8798d502ad60a2d8b01adaf5f05e4410","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c87e810a0cf5dab93361e4f428aa74a8798d502ad60a2d8b01adaf5f05e4410","first_computed_at":"2026-07-05T11:15:22.694861Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:22.694861Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VYazL/yhXCguCpU0MWxwtcaYa954mrsftOqm2nVbs0WhG1fzsZOmxwnBbuUdMOurvN7lYDhKcCrlQ3HbHe5IBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:22.695394Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.03184","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:306e417b865fea9000fa871e4fa2b1c684d289d18428f86b2c4d24cf4cbefe7a","sha256:b14c41ac3ec9dab1d6acdb4d1925914a89b68b554a543b46f6035e26c5767153"],"state_sha256":"e95ad305f6cdad21a8d7560ec0cde9ebae4f37035441dbf45b35b508c41c57f9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m8xRJMoEzKAi7DZQHsM9U8YrimGapRW3UWGt07doudddQMxlkOJK3LUL0qqF6JBnO+uwuKgGg2fHvSYYtV+QCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T02:08:46.555166Z","bundle_sha256":"78028e3c252fc2c1eb8571b24d522f250cb8aa4d367df4d5964909687e627889"}}