{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:HAUZXGJL5BOGQJSUJIFOCQ6ENV","short_pith_number":"pith:HAUZXGJL","schema_version":"1.0","canonical_sha256":"38299b992be85c6826544a0ae143c46d48dced754883c1ae458c1de399a77db1","source":{"kind":"arxiv","id":"2511.02610","version":2},"attestation_state":"computed","paper":{"title":"Towards Migrating Neural Network Implementations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Ivan Alfonso, Jordi Cabot, Nadia Daoudi","submitted_at":"2025-11-04T14:35:04Z","abstract_excerpt":"The development of smart systems (i.e., systems enhanced with AI components) has thrived thanks to the rapid advancements in neural networks (NNs). A wide range of libraries and frameworks have consequently emerged to support NN design and implementation. The choice depends on factors such as available functionalities, ease of use, documentation and community support. After adopting a given NN framework, organizations might later choose to switch to another if performance declines, requirements evolve, or new features are introduced. Unfortunately, migrating NN implementations across libraries"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2511.02610","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-11-04T14:35:04Z","cross_cats_sorted":[],"title_canon_sha256":"646e73e4fd9e489e3870f67803adc2d763b609b9c05f7e72f4c846bd813942e9","abstract_canon_sha256":"c4de3d278d51ff7fd7d1ea7ee97388e78117ec1374a2b3f5807f6522a562fd5c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T00:04:16.688028Z","signature_b64":"KSeNnCTlUn1fHmcQVgwbgrWusb+FCftJZQMH5xEKoSc9n9+4fPhD7MbbQTLb1lN7Y3z5YUF914DqDPO7d3uqCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"38299b992be85c6826544a0ae143c46d48dced754883c1ae458c1de399a77db1","last_reissued_at":"2026-05-20T00:04:16.687220Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T00:04:16.687220Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards Migrating Neural Network Implementations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Ivan Alfonso, Jordi Cabot, Nadia Daoudi","submitted_at":"2025-11-04T14:35:04Z","abstract_excerpt":"The development of smart systems (i.e., systems enhanced with AI components) has thrived thanks to the rapid advancements in neural networks (NNs). A wide range of libraries and frameworks have consequently emerged to support NN design and implementation. The choice depends on factors such as available functionalities, ease of use, documentation and community support. After adopting a given NN framework, organizations might later choose to switch to another if performance declines, requirements evolve, or new features are introduced. Unfortunately, migrating NN implementations across libraries"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.02610","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/2511.02610/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2511.02610","created_at":"2026-05-20T00:04:16.687368+00:00"},{"alias_kind":"arxiv_version","alias_value":"2511.02610v2","created_at":"2026-05-20T00:04:16.687368+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.02610","created_at":"2026-05-20T00:04:16.687368+00:00"},{"alias_kind":"pith_short_12","alias_value":"HAUZXGJL5BOG","created_at":"2026-05-20T00:04:16.687368+00:00"},{"alias_kind":"pith_short_16","alias_value":"HAUZXGJL5BOGQJSU","created_at":"2026-05-20T00:04:16.687368+00:00"},{"alias_kind":"pith_short_8","alias_value":"HAUZXGJL","created_at":"2026-05-20T00:04:16.687368+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV","json":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV.json","graph_json":"https://pith.science/api/pith-number/HAUZXGJL5BOGQJSUJIFOCQ6ENV/graph.json","events_json":"https://pith.science/api/pith-number/HAUZXGJL5BOGQJSUJIFOCQ6ENV/events.json","paper":"https://pith.science/paper/HAUZXGJL"},"agent_actions":{"view_html":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV","download_json":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV.json","view_paper":"https://pith.science/paper/HAUZXGJL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2511.02610&json=true","fetch_graph":"https://pith.science/api/pith-number/HAUZXGJL5BOGQJSUJIFOCQ6ENV/graph.json","fetch_events":"https://pith.science/api/pith-number/HAUZXGJL5BOGQJSUJIFOCQ6ENV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV/action/storage_attestation","attest_author":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV/action/author_attestation","sign_citation":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV/action/citation_signature","submit_replication":"https://pith.science/pith/HAUZXGJL5BOGQJSUJIFOCQ6ENV/action/replication_record"}},"created_at":"2026-05-20T00:04:16.687368+00:00","updated_at":"2026-05-20T00:04:16.687368+00:00"}