{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2021:A77Z6GQ3747724MTHOX6SDTKUH","short_pith_number":"pith:A77Z6GQ3","schema_version":"1.0","canonical_sha256":"07ff9f1a1bff3ffd71933bafe90e6aa1d42411fa1277aa5ab974c0d5eccb4e92","source":{"kind":"arxiv","id":"2108.08103","version":3},"attestation_state":"computed","paper":{"title":"AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bela Bohlender, Christina Viehmann, Iryna Gurevych, Jaber Khuri, Jonas Brossmann, Jonas Pfeiffer, Tilman Beck, Vincent Hane, Yanik Adamson","submitted_at":"2021-08-18T11:56:01Z","abstract_excerpt":"The open-access dissemination of pretrained language models through online repositories has led to a democratization of state-of-the-art natural language processing (NLP) research. This also allows people outside of NLP to use such models and adapt them to specific use-cases. However, a certain amount of technical proficiency is still required which is an entry barrier for users who want to apply these models to a certain task but lack the necessary knowledge or resources. In this work, we aim to overcome this gap by providing a tool which allows researchers to leverage pretrained models witho"},"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":"2108.08103","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-08-18T11:56:01Z","cross_cats_sorted":[],"title_canon_sha256":"ad1604d8cff5635c8b57c5324118fd6ed15a8985518b89eec6c4633604475c28","abstract_canon_sha256":"ce34ee78d6c1cffabac3b1bdb5202b3745f1399dec65822ce69089552abb2d9c"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:15:27.846282Z","signature_b64":"hVd+WRIml42GAIXgLuR5rKGAlZuyV+IWSpw+64QgLfdkqAEtPgowAnLTiTO2InPvDJCkBo2LVf5Q9dz4gAIsAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"07ff9f1a1bff3ffd71933bafe90e6aa1d42411fa1277aa5ab974c0d5eccb4e92","last_reissued_at":"2026-07-05T04:15:27.845830Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:15:27.845830Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Bela Bohlender, Christina Viehmann, Iryna Gurevych, Jaber Khuri, Jonas Brossmann, Jonas Pfeiffer, Tilman Beck, Vincent Hane, Yanik Adamson","submitted_at":"2021-08-18T11:56:01Z","abstract_excerpt":"The open-access dissemination of pretrained language models through online repositories has led to a democratization of state-of-the-art natural language processing (NLP) research. This also allows people outside of NLP to use such models and adapt them to specific use-cases. However, a certain amount of technical proficiency is still required which is an entry barrier for users who want to apply these models to a certain task but lack the necessary knowledge or resources. In this work, we aim to overcome this gap by providing a tool which allows researchers to leverage pretrained models witho"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2108.08103","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/2108.08103/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":"2108.08103","created_at":"2026-07-05T04:15:27.845886+00:00"},{"alias_kind":"arxiv_version","alias_value":"2108.08103v3","created_at":"2026-07-05T04:15:27.845886+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2108.08103","created_at":"2026-07-05T04:15:27.845886+00:00"},{"alias_kind":"pith_short_12","alias_value":"A77Z6GQ37477","created_at":"2026-07-05T04:15:27.845886+00:00"},{"alias_kind":"pith_short_16","alias_value":"A77Z6GQ3747724MT","created_at":"2026-07-05T04:15:27.845886+00:00"},{"alias_kind":"pith_short_8","alias_value":"A77Z6GQ3","created_at":"2026-07-05T04:15:27.845886+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/A77Z6GQ3747724MTHOX6SDTKUH","json":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH.json","graph_json":"https://pith.science/api/pith-number/A77Z6GQ3747724MTHOX6SDTKUH/graph.json","events_json":"https://pith.science/api/pith-number/A77Z6GQ3747724MTHOX6SDTKUH/events.json","paper":"https://pith.science/paper/A77Z6GQ3"},"agent_actions":{"view_html":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH","download_json":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH.json","view_paper":"https://pith.science/paper/A77Z6GQ3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2108.08103&json=true","fetch_graph":"https://pith.science/api/pith-number/A77Z6GQ3747724MTHOX6SDTKUH/graph.json","fetch_events":"https://pith.science/api/pith-number/A77Z6GQ3747724MTHOX6SDTKUH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH/action/storage_attestation","attest_author":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH/action/author_attestation","sign_citation":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH/action/citation_signature","submit_replication":"https://pith.science/pith/A77Z6GQ3747724MTHOX6SDTKUH/action/replication_record"}},"created_at":"2026-07-05T04:15:27.845886+00:00","updated_at":"2026-07-05T04:15:27.845886+00:00"}