{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:VFGPVZ5NNPSE7GLQ6VEBALMRXQ","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":"9be60416c374b365d6bf3969fb43a7eaa766108e583d5edc813eadee95a76079","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-17T03:03:16Z","title_canon_sha256":"167aa883e3b88912bb5d91ad5c11acec82b91f6c304c62582b840f466f1dbcef"},"schema_version":"1.0","source":{"id":"2606.18632","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.18632","created_at":"2026-06-19T16:11:43Z"},{"alias_kind":"arxiv_version","alias_value":"2606.18632v1","created_at":"2026-06-19T16:11:43Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.18632","created_at":"2026-06-19T16:11:43Z"},{"alias_kind":"pith_short_12","alias_value":"VFGPVZ5NNPSE","created_at":"2026-06-19T16:11:43Z"},{"alias_kind":"pith_short_16","alias_value":"VFGPVZ5NNPSE7GLQ","created_at":"2026-06-19T16:11:43Z"},{"alias_kind":"pith_short_8","alias_value":"VFGPVZ5N","created_at":"2026-06-19T16:11:43Z"}],"graph_snapshots":[{"event_id":"sha256:cf0ad2f4fcf7c484f775b451c9e668ad43b6c89758666dcf1c89e08173f6f918","target":"graph","created_at":"2026-06-19T16:11:43Z","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/2606.18632/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Embodied Foundation Models (EFMs) integrate multimodal understanding, future-state reasoning, and executable robot actions. Yet their safety alignment for human-injury prevention remains underexplored, primarily because real-world data of robots harming humans or creating hazardous household situations cannot be safely or ethically collected. To address this challenge, we propose a safety-critical data construction pipeline for human-injury prevention in EFMs.Starting from real DROID observations, our construction pipeline proceeds through scene understanding, hazard-aware image editing, tempo","authors_text":"ChongYang Liu, Renjue Li, Wenzhang Yang, Yinxing Xue, Zhuowen Yin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-17T03:03:16Z","title":"ROBOSHACKLES: A Safety Dataset for Human-Injury Prevention in Embodied Foundation Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.18632","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":"sha256:71fd71ef668aed4728ba55fca13e718e45a057f191f1a43b110d2371a801a3b1","target":"record","created_at":"2026-06-19T16:11:43Z","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":"9be60416c374b365d6bf3969fb43a7eaa766108e583d5edc813eadee95a76079","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2026-06-17T03:03:16Z","title_canon_sha256":"167aa883e3b88912bb5d91ad5c11acec82b91f6c304c62582b840f466f1dbcef"},"schema_version":"1.0","source":{"id":"2606.18632","kind":"arxiv","version":1}},"canonical_sha256":"a94cfae7ad6be44f9970f548102d91bc0d788f4619e5697a2ededa9b388e335b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a94cfae7ad6be44f9970f548102d91bc0d788f4619e5697a2ededa9b388e335b","first_computed_at":"2026-06-19T16:11:43.020878Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:11:43.020878Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tSd2uxfDy7dLSFGxqfcD0zqn1/+dy/TXrzAWMoMsV64lhbHFGqVwUYu4WroUI5draynYCZR9RLT7xVky3mLVAg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:11:43.021233Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.18632","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:71fd71ef668aed4728ba55fca13e718e45a057f191f1a43b110d2371a801a3b1","sha256:cf0ad2f4fcf7c484f775b451c9e668ad43b6c89758666dcf1c89e08173f6f918"],"state_sha256":"858daaa613cceadb23565aeabdb7582f35aac8b09712ac583e391962705dccc1"}