{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:XZ6YH37JZBEVVXT7HA5E3WATQR","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":"a6fe595a3bb7bad310e3ee94c488f1be571580f93200389422689c09a769fea2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-24T08:41:01Z","title_canon_sha256":"01cdb2dcf4aa8301b04ee0966bb3f224ff70480fd745fadc3efa87c71d07abe3"},"schema_version":"1.0","source":{"id":"2409.15867","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2409.15867","created_at":"2026-07-05T09:23:12Z"},{"alias_kind":"arxiv_version","alias_value":"2409.15867v5","created_at":"2026-07-05T09:23:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2409.15867","created_at":"2026-07-05T09:23:12Z"},{"alias_kind":"pith_short_12","alias_value":"XZ6YH37JZBEV","created_at":"2026-07-05T09:23:12Z"},{"alias_kind":"pith_short_16","alias_value":"XZ6YH37JZBEVVXT7","created_at":"2026-07-05T09:23:12Z"},{"alias_kind":"pith_short_8","alias_value":"XZ6YH37J","created_at":"2026-07-05T09:23:12Z"}],"graph_snapshots":[{"event_id":"sha256:fb928c714e8277c8fb1e5726f371af2399460adeccb1cc72a4981aec0d08e623","target":"graph","created_at":"2026-07-05T09:23:12Z","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/2409.15867/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A Standard Operating Procedure (SOP) defines a low-level, step-by-step written guide for a business software workflow. SOP generation is a crucial step towards automating end-to-end software workflows. Manually creating SOPs can be time-consuming. Recent advancements in large video-language models offer the potential for automating SOP generation by analyzing recordings of human demonstrations. However, current large video-language models face challenges with zero-shot SOP generation. In this work, we first explore in-context learning with video-language models for SOP generation. We then prop","authors_text":"Abdul Ahad, Ammar Anwar, Evangelos Chatzaroulas, Hamzah Azeem, Janusz Marecki, Luc McCutcheon, Moucheng Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-24T08:41:01Z","title":"In-Context Ensemble Learning from Pseudo Labels Improves Video-Language Models for Low-Level Workflow Understanding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2409.15867","kind":"arxiv","version":5},"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:b0ed6e933b4985ae45ca9a212077672dabd09789d2fdceaa678998a46d5d4ed9","target":"record","created_at":"2026-07-05T09:23:12Z","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":"a6fe595a3bb7bad310e3ee94c488f1be571580f93200389422689c09a769fea2","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.AI","submitted_at":"2024-09-24T08:41:01Z","title_canon_sha256":"01cdb2dcf4aa8301b04ee0966bb3f224ff70480fd745fadc3efa87c71d07abe3"},"schema_version":"1.0","source":{"id":"2409.15867","kind":"arxiv","version":5}},"canonical_sha256":"be7d83efe9c8495ade7f383a4dd81384603da4e2e939e12a3e49bd1f0685540f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be7d83efe9c8495ade7f383a4dd81384603da4e2e939e12a3e49bd1f0685540f","first_computed_at":"2026-07-05T09:23:12.267591Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:23:12.267591Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"4Vdw5kIjL3Y7Y/itdTgBoDgPYOQ3EBh/gQ4tC8BYGjFwztWDDpPDaZCZelXViETOqnLPR6XgolY0LvY/Oc/EBw==","signature_status":"signed_v1","signed_at":"2026-07-05T09:23:12.267982Z","signed_message":"canonical_sha256_bytes"},"source_id":"2409.15867","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b0ed6e933b4985ae45ca9a212077672dabd09789d2fdceaa678998a46d5d4ed9","sha256:fb928c714e8277c8fb1e5726f371af2399460adeccb1cc72a4981aec0d08e623"],"state_sha256":"17c0cc156be446f400950bb8e911002ada7ed7b06fe9057de4773794207c563d"}