{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:HGM75V6U2LD6UHNHYGEZO7BXFG","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":"29bc7c2cca040fb7572e3d8130f47cc764d60fbf097ca5bcfd4b6796b172ba45","cross_cats_sorted":["cs.CY","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-01-24T01:50:29Z","title_canon_sha256":"d0d11e97018cf3dbe4904f9f209f19e1392782771be4e787f1179ae6e10f30cb"},"schema_version":"1.0","source":{"id":"2401.13177","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.13177","created_at":"2026-07-05T07:37:01Z"},{"alias_kind":"arxiv_version","alias_value":"2401.13177v1","created_at":"2026-07-05T07:37:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.13177","created_at":"2026-07-05T07:37:01Z"},{"alias_kind":"pith_short_12","alias_value":"HGM75V6U2LD6","created_at":"2026-07-05T07:37:01Z"},{"alias_kind":"pith_short_16","alias_value":"HGM75V6U2LD6UHNH","created_at":"2026-07-05T07:37:01Z"},{"alias_kind":"pith_short_8","alias_value":"HGM75V6U","created_at":"2026-07-05T07:37:01Z"}],"graph_snapshots":[{"event_id":"sha256:c74b3e9eb050e88fda6c56f25792a6dc6a8e8e20cd2e5b282c13cf56c406d8f7","target":"graph","created_at":"2026-07-05T07:37:01Z","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/2401.13177/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ubiquity of large-scale Pre-Trained Models (PTMs) is on the rise, sparking interest in model hubs, and dedicated platforms for hosting PTMs. Despite this trend, a comprehensive exploration of the challenges that users encounter and how the community leverages PTMs remains lacking. To address this gap, we conducted an extensive mixed-methods empirical study by focusing on discussion forums and the model hub of HuggingFace, the largest public model hub. Based on our qualitative analysis, we present a taxonomy of the challenges and benefits associated with PTM reuse within this community. We ","authors_text":"Armstrong Foundjem, Florian Tambon, Foutse Khomh, Gianolli Dorcelus, Mina Taraghi","cross_cats":["cs.CY","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-01-24T01:50:29Z","title":"Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.13177","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":"sha256:311c075228c56a8c20a375a421533b9b003d159b09eb6f3d001fef9dd6192c19","target":"record","created_at":"2026-07-05T07:37:01Z","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":"29bc7c2cca040fb7572e3d8130f47cc764d60fbf097ca5bcfd4b6796b172ba45","cross_cats_sorted":["cs.CY","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.SE","submitted_at":"2024-01-24T01:50:29Z","title_canon_sha256":"d0d11e97018cf3dbe4904f9f209f19e1392782771be4e787f1179ae6e10f30cb"},"schema_version":"1.0","source":{"id":"2401.13177","kind":"arxiv","version":1}},"canonical_sha256":"3999fed7d4d2c7ea1da7c189977c372983c32bf653b5a517446561e603cb80c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3999fed7d4d2c7ea1da7c189977c372983c32bf653b5a517446561e603cb80c9","first_computed_at":"2026-07-05T07:37:01.801581Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:37:01.801581Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pRB5z3k6OMegTcHVRi6W+o1a0GbzPFEUcEzzi4cQjbjrHFV1eyeXpD9u026F4qB7/+nt/DfiMxBgK3gvptdxCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:37:01.802075Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.13177","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:311c075228c56a8c20a375a421533b9b003d159b09eb6f3d001fef9dd6192c19","sha256:c74b3e9eb050e88fda6c56f25792a6dc6a8e8e20cd2e5b282c13cf56c406d8f7"],"state_sha256":"1eb27cfb8005b304da8ec835bddc0d3c4ec4162a4be7a05b298bb3c5d89bf0a6"}