{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:A7EKUITJA4IGF42W4UF3JROE3N","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":"50be3b335dd0655737f808cd0d77418773c617e914033739f17aa43c280245d6","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-06T06:26:00Z","title_canon_sha256":"14e5951f7105d8cba8088051002ae5c252adcc47db03253e812cb82b70269734"},"schema_version":"1.0","source":{"id":"2103.04044","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.04044","created_at":"2026-07-05T02:20:45Z"},{"alias_kind":"arxiv_version","alias_value":"2103.04044v1","created_at":"2026-07-05T02:20:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.04044","created_at":"2026-07-05T02:20:45Z"},{"alias_kind":"pith_short_12","alias_value":"A7EKUITJA4IG","created_at":"2026-07-05T02:20:45Z"},{"alias_kind":"pith_short_16","alias_value":"A7EKUITJA4IGF42W","created_at":"2026-07-05T02:20:45Z"},{"alias_kind":"pith_short_8","alias_value":"A7EKUITJ","created_at":"2026-07-05T02:20:45Z"}],"graph_snapshots":[{"event_id":"sha256:4384f60b447d526ee3bb63872ad9307a5dbad8286c38ef02c009a1d072050a5b","target":"graph","created_at":"2026-07-05T02:20:45Z","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/2103.04044/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"How can we design Natural Language Processing (NLP) systems that learn from human feedback? There is a growing research body of Human-in-the-loop (HITL) NLP frameworks that continuously integrate human feedback to improve the model itself. HITL NLP research is nascent but multifarious -- solving various NLP problems, collecting diverse feedback from different people, and applying different methods to learn from collected feedback. We present a survey of HITL NLP work from both Machine Learning (ML) and Human-Computer Interaction (HCI) communities that highlights its short yet inspiring history","authors_text":"Diyi Yang, Dongjin Choi, Shenyu Xu, Zijie J. Wang","cross_cats":["cs.AI","cs.HC","cs.LG"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-06T06:26:00Z","title":"Putting Humans in the Natural Language Processing Loop: A Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.04044","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":"sha256:1d8e7b7457c92883248d1cb2a3cf6036d11d16c04aa12554bc2649d67a68ed01","target":"record","created_at":"2026-07-05T02:20:45Z","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":"50be3b335dd0655737f808cd0d77418773c617e914033739f17aa43c280245d6","cross_cats_sorted":["cs.AI","cs.HC","cs.LG"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2021-03-06T06:26:00Z","title_canon_sha256":"14e5951f7105d8cba8088051002ae5c252adcc47db03253e812cb82b70269734"},"schema_version":"1.0","source":{"id":"2103.04044","kind":"arxiv","version":1}},"canonical_sha256":"07c8aa2269071062f356e50bb4c5c4db453e05434cae95bd36528ff5274d65af","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"07c8aa2269071062f356e50bb4c5c4db453e05434cae95bd36528ff5274d65af","first_computed_at":"2026-07-05T02:20:45.476783Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:20:45.476783Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"i6WhxDxP/AXDTABTCyKDVTFze6jXk7LOYiUsaH2ggweP7Gbff0vFW/32GwatVhEO459v3TTflpn4cbFBtYVvDw==","signature_status":"signed_v1","signed_at":"2026-07-05T02:20:45.477155Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.04044","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d8e7b7457c92883248d1cb2a3cf6036d11d16c04aa12554bc2649d67a68ed01","sha256:4384f60b447d526ee3bb63872ad9307a5dbad8286c38ef02c009a1d072050a5b"],"state_sha256":"d3338684178a2ceb7138864ad29d37da9ef6d46b8a711c47e1872a01587269f5"}