{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:I64IQTHSQ57OMTLJGYPX4AFCLW","short_pith_number":"pith:I64IQTHS","schema_version":"1.0","canonical_sha256":"47b8884cf2877ee64d69361f7e00a25d9dfb1be45b92b4eaa438c4100ceedddd","source":{"kind":"arxiv","id":"2408.11847","version":2},"attestation_state":"computed","paper":{"title":"Prompto: An open source library for asynchronous querying of LLM endpoints","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Angus R. Williams, Ed Chapman, Edwin Brown, Evelina Gabasova, Federico Nanni, Jonathan Bright, Kate Onslow, Liam Burke-Moore, Ryan Sze-Yin Chan, Tvesha Sippy","submitted_at":"2024-08-12T15:19:59Z","abstract_excerpt":"Recent surge in Large Language Model (LLM) availability has opened exciting avenues for research. However, efficiently interacting with these models presents a significant hurdle since LLMs often reside on proprietary or self-hosted API endpoints, each requiring custom code for interaction. Conducting comparative studies between different models can therefore be time-consuming and necessitate significant engineering effort, hindering research efficiency and reproducibility. To address these challenges, we present prompto, an open source Python library which facilitates asynchronous querying of"},"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":"2408.11847","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-08-12T15:19:59Z","cross_cats_sorted":[],"title_canon_sha256":"d3196d2132887140509f17cca99d20819f180ad6a81a225819e671a30b8bc743","abstract_canon_sha256":"6eb77fa4e8a19aa9f6e38de274b663b2ffe13f0f3e7e8ceee3626949e278edb7"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:49:44.645162Z","signature_b64":"Kficypfbhxn1r7gPAd3QUgPpyDWjt5xt35wTZlbaedf6iBbOvuciob4FxUJpK3JVCWTVWyyMtCQUac+Ss5etDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"47b8884cf2877ee64d69361f7e00a25d9dfb1be45b92b4eaa438c4100ceedddd","last_reissued_at":"2026-07-05T09:49:44.644626Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:49:44.644626Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Prompto: An open source library for asynchronous querying of LLM endpoints","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Angus R. Williams, Ed Chapman, Edwin Brown, Evelina Gabasova, Federico Nanni, Jonathan Bright, Kate Onslow, Liam Burke-Moore, Ryan Sze-Yin Chan, Tvesha Sippy","submitted_at":"2024-08-12T15:19:59Z","abstract_excerpt":"Recent surge in Large Language Model (LLM) availability has opened exciting avenues for research. However, efficiently interacting with these models presents a significant hurdle since LLMs often reside on proprietary or self-hosted API endpoints, each requiring custom code for interaction. Conducting comparative studies between different models can therefore be time-consuming and necessitate significant engineering effort, hindering research efficiency and reproducibility. To address these challenges, we present prompto, an open source Python library which facilitates asynchronous querying of"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.11847","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/2408.11847/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":"2408.11847","created_at":"2026-07-05T09:49:44.644688+00:00"},{"alias_kind":"arxiv_version","alias_value":"2408.11847v2","created_at":"2026-07-05T09:49:44.644688+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.11847","created_at":"2026-07-05T09:49:44.644688+00:00"},{"alias_kind":"pith_short_12","alias_value":"I64IQTHSQ57O","created_at":"2026-07-05T09:49:44.644688+00:00"},{"alias_kind":"pith_short_16","alias_value":"I64IQTHSQ57OMTLJ","created_at":"2026-07-05T09:49:44.644688+00:00"},{"alias_kind":"pith_short_8","alias_value":"I64IQTHS","created_at":"2026-07-05T09:49:44.644688+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/I64IQTHSQ57OMTLJGYPX4AFCLW","json":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW.json","graph_json":"https://pith.science/api/pith-number/I64IQTHSQ57OMTLJGYPX4AFCLW/graph.json","events_json":"https://pith.science/api/pith-number/I64IQTHSQ57OMTLJGYPX4AFCLW/events.json","paper":"https://pith.science/paper/I64IQTHS"},"agent_actions":{"view_html":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW","download_json":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW.json","view_paper":"https://pith.science/paper/I64IQTHS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2408.11847&json=true","fetch_graph":"https://pith.science/api/pith-number/I64IQTHSQ57OMTLJGYPX4AFCLW/graph.json","fetch_events":"https://pith.science/api/pith-number/I64IQTHSQ57OMTLJGYPX4AFCLW/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW/action/timestamp_anchor","attest_storage":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW/action/storage_attestation","attest_author":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW/action/author_attestation","sign_citation":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW/action/citation_signature","submit_replication":"https://pith.science/pith/I64IQTHSQ57OMTLJGYPX4AFCLW/action/replication_record"}},"created_at":"2026-07-05T09:49:44.644688+00:00","updated_at":"2026-07-05T09:49:44.644688+00:00"}