{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:WP2SRH6J73TDNPRTHNGOHXQBSE","short_pith_number":"pith:WP2SRH6J","canonical_record":{"source":{"id":"2010.11297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:21:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"281dc400c0b807ffe5a9b7b8d26a317f0c7f4d68deaef539f318e0490c60c2bc","abstract_canon_sha256":"4ea00aec121c5164a5bd36e42938c26c06d4d4377b40871c35f45fe4e5b81ac2"},"schema_version":"1.0"},"canonical_sha256":"b3f5289fc9fee636be333b4ce3de0191158fb20bbcf0384e7728bdb224b38b08","source":{"kind":"arxiv","id":"2010.11297","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.11297","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"arxiv_version","alias_value":"2010.11297v1","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.11297","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"pith_short_12","alias_value":"WP2SRH6J73TD","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"pith_short_16","alias_value":"WP2SRH6J73TDNPRT","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"pith_short_8","alias_value":"WP2SRH6J","created_at":"2026-07-05T01:45:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:WP2SRH6J73TDNPRTHNGOHXQBSE","target":"record","payload":{"canonical_record":{"source":{"id":"2010.11297","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:21:25Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"281dc400c0b807ffe5a9b7b8d26a317f0c7f4d68deaef539f318e0490c60c2bc","abstract_canon_sha256":"4ea00aec121c5164a5bd36e42938c26c06d4d4377b40871c35f45fe4e5b81ac2"},"schema_version":"1.0"},"canonical_sha256":"b3f5289fc9fee636be333b4ce3de0191158fb20bbcf0384e7728bdb224b38b08","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T01:45:08.393592Z","signature_b64":"OjUUctS2i9YdzRKONosSISAMBxEVyMl+Ns5BkMzJM5QRNIF4vKxdrMmyrv/seXTNZPISkbK7mVIMW0WiUYLLDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b3f5289fc9fee636be333b4ce3de0191158fb20bbcf0384e7728bdb224b38b08","last_reissued_at":"2026-07-05T01:45:08.393085Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T01:45:08.393085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2010.11297","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":"2026-07-05T01:45:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"J+sIdrcdwVU5Yqc4XQ/utpo1xGNiPmcpeM0bAs1eR2lvLFOSSBoa/oKvzvxWUWDZDjUCFR/kBnxnwg7xXMmmAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:41:11.943924Z"},"content_sha256":"020d3d135c1569afeef81602a5dd9a5d82e8e16c5dd73c87e0de470439f0a3e2","schema_version":"1.0","event_id":"sha256:020d3d135c1569afeef81602a5dd9a5d82e8e16c5dd73c87e0de470439f0a3e2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:WP2SRH6J73TDNPRTHNGOHXQBSE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Performance Prediction for Convolutional Neural Networks in Edge Devices","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Abdessamad Ait El Cadi, Halima Bouzidi, Hamza Ouarnoughi, Smail Niar","submitted_at":"2020-10-21T20:21:25Z","abstract_excerpt":"Running Convolutional Neural Network (CNN) based applications on edge devices near the source of data can meet the latency and privacy challenges. However due to their reduced computing resources and their energy constraints, these edge devices can hardly satisfy CNN needs in processing and data storage. For these platforms, choosing the CNN with the best trade-off between accuracy and execution time while respecting Hardware constraints is crucial. In this paper, we present and compare five (5) of the widely used Machine Learning based methods for execution time prediction of CNNs on two (2) "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.11297","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/2010.11297/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":"2026-07-05T01:45:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tjxPKGNtbxR/lIYsOrjOSl6ehHEJ/Oxa5uwMhYTwOZubGpjt4n/NVTzCp11cYH7I47L7tWCkZrqG6JOg9cFIBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:41:11.944847Z"},"content_sha256":"f98371ff2c2b05e10e2766396767593594b1761ac010bd9ffd1936c69704c422","schema_version":"1.0","event_id":"sha256:f98371ff2c2b05e10e2766396767593594b1761ac010bd9ffd1936c69704c422"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WP2SRH6J73TDNPRTHNGOHXQBSE/bundle.json","state_url":"https://pith.science/pith/WP2SRH6J73TDNPRTHNGOHXQBSE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WP2SRH6J73TDNPRTHNGOHXQBSE/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":"2026-08-18T21:41:11Z","links":{"resolver":"https://pith.science/pith/WP2SRH6J73TDNPRTHNGOHXQBSE","bundle":"https://pith.science/pith/WP2SRH6J73TDNPRTHNGOHXQBSE/bundle.json","state":"https://pith.science/pith/WP2SRH6J73TDNPRTHNGOHXQBSE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WP2SRH6J73TDNPRTHNGOHXQBSE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:WP2SRH6J73TDNPRTHNGOHXQBSE","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":"4ea00aec121c5164a5bd36e42938c26c06d4d4377b40871c35f45fe4e5b81ac2","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:21:25Z","title_canon_sha256":"281dc400c0b807ffe5a9b7b8d26a317f0c7f4d68deaef539f318e0490c60c2bc"},"schema_version":"1.0","source":{"id":"2010.11297","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2010.11297","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"arxiv_version","alias_value":"2010.11297v1","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2010.11297","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"pith_short_12","alias_value":"WP2SRH6J73TD","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"pith_short_16","alias_value":"WP2SRH6J73TDNPRT","created_at":"2026-07-05T01:45:08Z"},{"alias_kind":"pith_short_8","alias_value":"WP2SRH6J","created_at":"2026-07-05T01:45:08Z"}],"graph_snapshots":[{"event_id":"sha256:f98371ff2c2b05e10e2766396767593594b1761ac010bd9ffd1936c69704c422","target":"graph","created_at":"2026-07-05T01:45:08Z","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/2010.11297/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Running Convolutional Neural Network (CNN) based applications on edge devices near the source of data can meet the latency and privacy challenges. However due to their reduced computing resources and their energy constraints, these edge devices can hardly satisfy CNN needs in processing and data storage. For these platforms, choosing the CNN with the best trade-off between accuracy and execution time while respecting Hardware constraints is crucial. In this paper, we present and compare five (5) of the widely used Machine Learning based methods for execution time prediction of CNNs on two (2) ","authors_text":"Abdessamad Ait El Cadi, Halima Bouzidi, Hamza Ouarnoughi, Smail Niar","cross_cats":["cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:21:25Z","title":"Performance Prediction for Convolutional Neural Networks in Edge Devices"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2010.11297","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":"sha256:020d3d135c1569afeef81602a5dd9a5d82e8e16c5dd73c87e0de470439f0a3e2","target":"record","created_at":"2026-07-05T01:45:08Z","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":"4ea00aec121c5164a5bd36e42938c26c06d4d4377b40871c35f45fe4e5b81ac2","cross_cats_sorted":["cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-10-21T20:21:25Z","title_canon_sha256":"281dc400c0b807ffe5a9b7b8d26a317f0c7f4d68deaef539f318e0490c60c2bc"},"schema_version":"1.0","source":{"id":"2010.11297","kind":"arxiv","version":1}},"canonical_sha256":"b3f5289fc9fee636be333b4ce3de0191158fb20bbcf0384e7728bdb224b38b08","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b3f5289fc9fee636be333b4ce3de0191158fb20bbcf0384e7728bdb224b38b08","first_computed_at":"2026-07-05T01:45:08.393085Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:45:08.393085Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OjUUctS2i9YdzRKONosSISAMBxEVyMl+Ns5BkMzJM5QRNIF4vKxdrMmyrv/seXTNZPISkbK7mVIMW0WiUYLLDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T01:45:08.393592Z","signed_message":"canonical_sha256_bytes"},"source_id":"2010.11297","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:020d3d135c1569afeef81602a5dd9a5d82e8e16c5dd73c87e0de470439f0a3e2","sha256:f98371ff2c2b05e10e2766396767593594b1761ac010bd9ffd1936c69704c422"],"state_sha256":"bc84c4a23e0e458bd1378576960ed4b5316bddfbab6d50267262adeb6a2921d9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rZDgaPPMKi7n3t+/H7x5Q1sWE6zolq/PYDrMT1HcRZ+RlJKoWOoXFYCVCdQaiToemAvNFh4VLhhGQN0gUw3TAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T21:41:11.952372Z","bundle_sha256":"4a129e69517d9527f04f5b43a7aed8bccca14aa6c27efd4aedebddd38e3442b2"}}