{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2QUHTLSHMETAIRRAUFKNN7HZR2","short_pith_number":"pith:2QUHTLSH","canonical_record":{"source":{"id":"2506.09552","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-06-11T09:36:07Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"49b2c6c1db457ca0f7faa056c8b920bc7ca0fd1d4c26efd02a865f8e5baa3cd4","abstract_canon_sha256":"d7675ae999d34b0baae7420b5b30e739fad3bd11f0f21ab4e3ce59bb3d26a088"},"schema_version":"1.0"},"canonical_sha256":"d42879ae476126044620a154d6fcf98ea3f1f737d290510f6240915017b6cc7f","source":{"kind":"arxiv","id":"2506.09552","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09552","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09552v1","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09552","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"pith_short_12","alias_value":"2QUHTLSHMETA","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"pith_short_16","alias_value":"2QUHTLSHMETAIRRA","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"pith_short_8","alias_value":"2QUHTLSH","created_at":"2026-07-05T11:19:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2QUHTLSHMETAIRRAUFKNN7HZR2","target":"record","payload":{"canonical_record":{"source":{"id":"2506.09552","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-06-11T09:36:07Z","cross_cats_sorted":["cs.CV"],"title_canon_sha256":"49b2c6c1db457ca0f7faa056c8b920bc7ca0fd1d4c26efd02a865f8e5baa3cd4","abstract_canon_sha256":"d7675ae999d34b0baae7420b5b30e739fad3bd11f0f21ab4e3ce59bb3d26a088"},"schema_version":"1.0"},"canonical_sha256":"d42879ae476126044620a154d6fcf98ea3f1f737d290510f6240915017b6cc7f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:38.977904Z","signature_b64":"Uke8XRGxRazeMBxfw54C3wC1G9cf+SUrfxNnCrPOE1mfOD8KOlNXJtB7e0pvmR70WkV3S9xN9IVHCZeBg7jGDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d42879ae476126044620a154d6fcf98ea3f1f737d290510f6240915017b6cc7f","last_reissued_at":"2026-07-05T11:19:38.977401Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:38.977401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.09552","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BARnPMdurYWxn3aHo0C66UMWicbrY09oIK3dg09gM8ueVPRJBEM+eLsyjX2FAnt4LigX2W57xXpz+YblDQsLDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T19:23:12.864154Z"},"content_sha256":"a5587c0a0ca2e8480d84d143b66a980c96f8260ed76553bfc81cbf179b36fa8c","schema_version":"1.0","event_id":"sha256:a5587c0a0ca2e8480d84d143b66a980c96f8260ed76553bfc81cbf179b36fa8c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2QUHTLSHMETAIRRAUFKNN7HZR2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV"],"primary_cat":"cs.RO","authors_text":"Darwin G. Caldwell, Fatemeh Mohammadi Amin, Hans Wernher van de Venn","submitted_at":"2025-06-11T09:36:07Z","abstract_excerpt":"The robust interpretation of 3D environments is crucial for human-robot collaboration (HRC) applications, where safety and operational efficiency are paramount. Semantic segmentation plays a key role in this context by enabling a precise and detailed understanding of the environment. Considering the intense data hunger for real-world industrial annotated data essential for effective semantic segmentation, this paper introduces a pioneering approach in the Sim2Real domain adaptation for semantic segmentation of 3D point cloud data, specifically tailored for HRC. Our focus is on developing a net"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09552","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2506.09552/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"E9Gyx5bzH+MbBO1X2/7S/b1Ydn7ri7rOftiKS55UW4yyoc+qz61ecdFp3EcW3ceyUl3oW8CxDF95NyJrhJz/Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-08T19:23:12.864643Z"},"content_sha256":"af2e3d4a6175b6ae568323f2e9859e73291fd41fd39ca66e1dab1d0002106587","schema_version":"1.0","event_id":"sha256:af2e3d4a6175b6ae568323f2e9859e73291fd41fd39ca66e1dab1d0002106587"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2QUHTLSHMETAIRRAUFKNN7HZR2/bundle.json","state_url":"https://pith.science/pith/2QUHTLSHMETAIRRAUFKNN7HZR2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2QUHTLSHMETAIRRAUFKNN7HZR2/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-08T19:23:12Z","links":{"resolver":"https://pith.science/pith/2QUHTLSHMETAIRRAUFKNN7HZR2","bundle":"https://pith.science/pith/2QUHTLSHMETAIRRAUFKNN7HZR2/bundle.json","state":"https://pith.science/pith/2QUHTLSHMETAIRRAUFKNN7HZR2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2QUHTLSHMETAIRRAUFKNN7HZR2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2QUHTLSHMETAIRRAUFKNN7HZR2","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":"d7675ae999d34b0baae7420b5b30e739fad3bd11f0f21ab4e3ce59bb3d26a088","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-06-11T09:36:07Z","title_canon_sha256":"49b2c6c1db457ca0f7faa056c8b920bc7ca0fd1d4c26efd02a865f8e5baa3cd4"},"schema_version":"1.0","source":{"id":"2506.09552","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.09552","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"arxiv_version","alias_value":"2506.09552v1","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.09552","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"pith_short_12","alias_value":"2QUHTLSHMETA","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"pith_short_16","alias_value":"2QUHTLSHMETAIRRA","created_at":"2026-07-05T11:19:38Z"},{"alias_kind":"pith_short_8","alias_value":"2QUHTLSH","created_at":"2026-07-05T11:19:38Z"}],"graph_snapshots":[{"event_id":"sha256:af2e3d4a6175b6ae568323f2e9859e73291fd41fd39ca66e1dab1d0002106587","target":"graph","created_at":"2026-07-05T11:19:38Z","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/2506.09552/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The robust interpretation of 3D environments is crucial for human-robot collaboration (HRC) applications, where safety and operational efficiency are paramount. Semantic segmentation plays a key role in this context by enabling a precise and detailed understanding of the environment. Considering the intense data hunger for real-world industrial annotated data essential for effective semantic segmentation, this paper introduces a pioneering approach in the Sim2Real domain adaptation for semantic segmentation of 3D point cloud data, specifically tailored for HRC. Our focus is on developing a net","authors_text":"Darwin G. Caldwell, Fatemeh Mohammadi Amin, Hans Wernher van de Venn","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-06-11T09:36:07Z","title":"Enhancing Human-Robot Collaboration: A Sim2Real Domain Adaptation Algorithm for Point Cloud Segmentation in Industrial Environments"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.09552","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:a5587c0a0ca2e8480d84d143b66a980c96f8260ed76553bfc81cbf179b36fa8c","target":"record","created_at":"2026-07-05T11:19:38Z","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":"d7675ae999d34b0baae7420b5b30e739fad3bd11f0f21ab4e3ce59bb3d26a088","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2025-06-11T09:36:07Z","title_canon_sha256":"49b2c6c1db457ca0f7faa056c8b920bc7ca0fd1d4c26efd02a865f8e5baa3cd4"},"schema_version":"1.0","source":{"id":"2506.09552","kind":"arxiv","version":1}},"canonical_sha256":"d42879ae476126044620a154d6fcf98ea3f1f737d290510f6240915017b6cc7f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d42879ae476126044620a154d6fcf98ea3f1f737d290510f6240915017b6cc7f","first_computed_at":"2026-07-05T11:19:38.977401Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:38.977401Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Uke8XRGxRazeMBxfw54C3wC1G9cf+SUrfxNnCrPOE1mfOD8KOlNXJtB7e0pvmR70WkV3S9xN9IVHCZeBg7jGDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:38.977904Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.09552","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a5587c0a0ca2e8480d84d143b66a980c96f8260ed76553bfc81cbf179b36fa8c","sha256:af2e3d4a6175b6ae568323f2e9859e73291fd41fd39ca66e1dab1d0002106587"],"state_sha256":"97f1d950bb0c66811019d296b734d80b3d470813cda127f4765119e57c2708fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"qZnXf+LZ07oC61Iu/HKl9de+Af35Xz3cI6NZuAVGXNUyahkEo6fzcLt0Iht2PwlDLTQZquO8KqG25gbtG/20DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-08T19:23:12.867129Z","bundle_sha256":"8255c0705fd21a602d2b08db760c20f2b6156f8001bd6d56881de85d819627f3"}}