{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YJPGLGCGOXUHNTLOC67CW35MAZ","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":"bb322f41fec3aec48627621528706eed0b008036ba6e44113714ea98d93b4a50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-04-21T17:45:21Z","title_canon_sha256":"e6b4180b6ae90056d0436fb770574de8666db55c9d2fac4f9b86d1277071d8fc"},"schema_version":"1.0","source":{"id":"2504.15263","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.15263","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"arxiv_version","alias_value":"2504.15263v1","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.15263","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_12","alias_value":"YJPGLGCGOXUH","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_16","alias_value":"YJPGLGCGOXUHNTLO","created_at":"2026-07-05T10:51:58Z"},{"alias_kind":"pith_short_8","alias_value":"YJPGLGCG","created_at":"2026-07-05T10:51:58Z"}],"graph_snapshots":[{"event_id":"sha256:9426747690ef27b5d502ff03d474619a0138c1dd7c1545d5f578c62e3ccee35d","target":"graph","created_at":"2026-07-05T10:51:58Z","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/2504.15263/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Construction tasks are inherently unpredictable, with dynamic environments and safety-critical demands posing significant risks to workers. Exoskeletons offer potential assistance but falter without accurate intent recognition across diverse locomotion modes. This paper presents a locomotion prediction agent leveraging Large Language Models (LLMs) augmented with memory systems, aimed at improving exoskeleton assistance in such settings. Using multimodal inputs - spoken commands and visual data from smart glasses - the agent integrates a Perception Module, Short-Term Memory (STM), Long-Term Mem","authors_text":"Chao Wang, Ehsan Ahmadi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-04-21T17:45:21Z","title":"Interpretable Locomotion Prediction in Construction Using a Memory-Driven LLM Agent With Chain-of-Thought Reasoning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.15263","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":"sha256:6c3307764c52bed2fac0085a7b38c991d7b7a66f0380f7b395907b6fd36f8669","target":"record","created_at":"2026-07-05T10:51:58Z","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":"bb322f41fec3aec48627621528706eed0b008036ba6e44113714ea98d93b4a50","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-04-21T17:45:21Z","title_canon_sha256":"e6b4180b6ae90056d0436fb770574de8666db55c9d2fac4f9b86d1277071d8fc"},"schema_version":"1.0","source":{"id":"2504.15263","kind":"arxiv","version":1}},"canonical_sha256":"c25e65984675e876cd6e17be2b6fac064f425fb68cde5983bf16d041dcb42414","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c25e65984675e876cd6e17be2b6fac064f425fb68cde5983bf16d041dcb42414","first_computed_at":"2026-07-05T10:51:58.993608Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:51:58.993608Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FENhsRohk9cUe4W2z5TnOOpZsch4ayITWID2H0WiZHY0pJbsEvFXgb5i8RVTWmbUAbdeHIGG31QxAvOXLfqDAg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:51:58.994096Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.15263","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c3307764c52bed2fac0085a7b38c991d7b7a66f0380f7b395907b6fd36f8669","sha256:9426747690ef27b5d502ff03d474619a0138c1dd7c1545d5f578c62e3ccee35d"],"state_sha256":"65e9674623c9565049031c516104d099bee722909cba509badf48ca8611eb8de"}