{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:74AYUEBEKINZXXTCWVAKZUT3LS","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":"75bd38d50fc96a8e88b4541e2f2a636fb373e8db1b4e7f0bd91cc3b27c27ad87","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-27T23:06:24Z","title_canon_sha256":"04b2e8f048e9d7e4e72fd4403844adf6ea550e98af16e523f8eb28fed5cea45f"},"schema_version":"1.0","source":{"id":"2506.22679","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.22679","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"arxiv_version","alias_value":"2506.22679v1","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.22679","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_12","alias_value":"74AYUEBEKINZ","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_16","alias_value":"74AYUEBEKINZXXTC","created_at":"2026-07-05T11:28:42Z"},{"alias_kind":"pith_short_8","alias_value":"74AYUEBE","created_at":"2026-07-05T11:28:42Z"}],"graph_snapshots":[{"event_id":"sha256:69de8aad7c99b725e9609c981fe9e5f6f5e5077f7e808079480a28c99be7b60e","target":"graph","created_at":"2026-07-05T11:28:42Z","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/2506.22679/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We explore the feasibility of large language models (LLMs) in detecting subtle expressions of micro-behaviors in team conversations using transcripts collected during simulated space missions. Specifically, we examine zero-shot classification, fine-tuning, and paraphrase-augmented fine-tuning with encoder-only sequence classification LLMs, as well as few-shot text generation with decoder-only causal language modeling LLMs, to predict the micro-behavior associated with each conversational turn (i.e., dialogue). Our findings indicate that encoder-only LLMs, such as RoBERTa and DistilBERT, strugg","authors_text":"Ankush Raut, Projna Paromita, Suzanne Bell, Sydney Begerowski, Theodora Chaspari","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-27T23:06:24Z","title":"Assessing the feasibility of Large Language Models for detecting micro-behaviors in team interactions during space missions"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.22679","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":"sha256:60c47241084fce75805e051c5f09e4d85fa1040b4c2e319d6cbe0699c3d7ff77","target":"record","created_at":"2026-07-05T11:28:42Z","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":"75bd38d50fc96a8e88b4541e2f2a636fb373e8db1b4e7f0bd91cc3b27c27ad87","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2025-06-27T23:06:24Z","title_canon_sha256":"04b2e8f048e9d7e4e72fd4403844adf6ea550e98af16e523f8eb28fed5cea45f"},"schema_version":"1.0","source":{"id":"2506.22679","kind":"arxiv","version":1}},"canonical_sha256":"ff018a1024521b9bde62b540acd27b5cb6986a3bc7246f2cac80939da67d449e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff018a1024521b9bde62b540acd27b5cb6986a3bc7246f2cac80939da67d449e","first_computed_at":"2026-07-05T11:28:42.995624Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:28:42.995624Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9YBdcohM1JGIQ4X814NQufC9xrk9uPMj1JrFzFWsgKtXZ3vaDb+skt48qFhhBC+M0ssLOdKE76MYEfDm5dduAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:28:42.996105Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.22679","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:60c47241084fce75805e051c5f09e4d85fa1040b4c2e319d6cbe0699c3d7ff77","sha256:69de8aad7c99b725e9609c981fe9e5f6f5e5077f7e808079480a28c99be7b60e"],"state_sha256":"f9a84e61af7c5605d39f2e93ea6b8210a8b336a89496c47725a5e03fd08362e3"}