{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:V7OM6JV2SIRHHNHDX5YMQY6NLK","short_pith_number":"pith:V7OM6JV2","canonical_record":{"source":{"id":"2412.02818","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-03T20:34:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"709f3abd7dc3ee774729852cafa25acf27120b6ad98a6a8ab8e861f0ad9850bd","abstract_canon_sha256":"bad91ec705106310ad3e9fa0e1e53f2177f22c644c24d8ee14e8f05949f24069"},"schema_version":"1.0"},"canonical_sha256":"afdccf26ba922273b4e3bf70c863cd5ab6ddfd541bcad7684831ef7228db2119","source":{"kind":"arxiv","id":"2412.02818","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02818","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02818v4","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02818","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"V7OM6JV2SIRH","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"V7OM6JV2SIRHHNHD","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"V7OM6JV2","created_at":"2026-05-20T01:04:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:V7OM6JV2SIRHHNHDX5YMQY6NLK","target":"record","payload":{"canonical_record":{"source":{"id":"2412.02818","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-03T20:34:51Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"709f3abd7dc3ee774729852cafa25acf27120b6ad98a6a8ab8e861f0ad9850bd","abstract_canon_sha256":"bad91ec705106310ad3e9fa0e1e53f2177f22c644c24d8ee14e8f05949f24069"},"schema_version":"1.0"},"canonical_sha256":"afdccf26ba922273b4e3bf70c863cd5ab6ddfd541bcad7684831ef7228db2119","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-20T01:04:29.940413Z","signature_b64":"UA0QOR2QBhGJqG2dkfFf5EnW9b+mavdueQIEI3Y6qv21cUo6ktckBFIa+UB2lSuRmVrWm3AeaN4vs7JiGkGHCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"afdccf26ba922273b4e3bf70c863cd5ab6ddfd541bcad7684831ef7228db2119","last_reissued_at":"2026-05-20T01:04:29.939399Z","signature_status":"signed_v1","first_computed_at":"2026-05-20T01:04:29.939399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.02818","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-20T01:04:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gILrdUanJXzMw6NY7W9DdkFuhlZGMYH4jCR+VteNQ8blQ/Mu/n5b+Jx4fqfiYyDokD5CNffGKHPx0GObV258Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:14:42.916399Z"},"content_sha256":"66440b74b007e716975f0215c0b477254799bd600f883697a3f8f2ad9a8573de","schema_version":"1.0","event_id":"sha256:66440b74b007e716975f0215c0b477254799bd600f883697a3f8f2ad9a8573de"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:V7OM6JV2SIRHHNHDX5YMQY6NLK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.RO","authors_text":"Dieter Fox, Heni Ben Amor, Jiafei Duan, Ransalu Senanayake, Som Sagar, Sreevishakh Vasudevan, Yifan Zhou","submitted_at":"2024-12-03T20:34:51Z","abstract_excerpt":"Robot manipulation policies, while central to the promise of physical AI, are highly vulnerable in the presence of external variations in the real world. Diagnosing these vulnerabilities is hindered by two key challenges: (i) the relevant variations to test against are often unknown, and (ii) direct testing in the real world is costly and unsafe. We introduce a framework that tackles both issues by learning a separate deep reinforcement learning (deep RL) policy for vulnerability prediction through virtual runs on a continuous vision-language embedding trained with limited success-failure data"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02818","kind":"arxiv","version":4},"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/2412.02818/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":"2026-05-20T01:04:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LF3yu6wohjkPkTTVuon8kV7P6PMroJl88YRJr6RyxKGtXQepYEFTleSLI1dqeJAPt6uK/3w81Hwl7XmTVCYrBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-30T13:14:42.916787Z"},"content_sha256":"db60b396c1e3af2e408996f1dcd3c4506982af0a7eeec3651472f2d978d7e525","schema_version":"1.0","event_id":"sha256:db60b396c1e3af2e408996f1dcd3c4506982af0a7eeec3651472f2d978d7e525"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V7OM6JV2SIRHHNHDX5YMQY6NLK/bundle.json","state_url":"https://pith.science/pith/V7OM6JV2SIRHHNHDX5YMQY6NLK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V7OM6JV2SIRHHNHDX5YMQY6NLK/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":"2026-05-30T13:14:42Z","links":{"resolver":"https://pith.science/pith/V7OM6JV2SIRHHNHDX5YMQY6NLK","bundle":"https://pith.science/pith/V7OM6JV2SIRHHNHDX5YMQY6NLK/bundle.json","state":"https://pith.science/pith/V7OM6JV2SIRHHNHDX5YMQY6NLK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V7OM6JV2SIRHHNHDX5YMQY6NLK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:V7OM6JV2SIRHHNHDX5YMQY6NLK","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":"bad91ec705106310ad3e9fa0e1e53f2177f22c644c24d8ee14e8f05949f24069","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-03T20:34:51Z","title_canon_sha256":"709f3abd7dc3ee774729852cafa25acf27120b6ad98a6a8ab8e861f0ad9850bd"},"schema_version":"1.0","source":{"id":"2412.02818","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.02818","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.02818v4","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.02818","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"pith_short_12","alias_value":"V7OM6JV2SIRH","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"pith_short_16","alias_value":"V7OM6JV2SIRHHNHD","created_at":"2026-05-20T01:04:29Z"},{"alias_kind":"pith_short_8","alias_value":"V7OM6JV2","created_at":"2026-05-20T01:04:29Z"}],"graph_snapshots":[{"event_id":"sha256:db60b396c1e3af2e408996f1dcd3c4506982af0a7eeec3651472f2d978d7e525","target":"graph","created_at":"2026-05-20T01:04:29Z","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/2412.02818/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robot manipulation policies, while central to the promise of physical AI, are highly vulnerable in the presence of external variations in the real world. Diagnosing these vulnerabilities is hindered by two key challenges: (i) the relevant variations to test against are often unknown, and (ii) direct testing in the real world is costly and unsafe. We introduce a framework that tackles both issues by learning a separate deep reinforcement learning (deep RL) policy for vulnerability prediction through virtual runs on a continuous vision-language embedding trained with limited success-failure data","authors_text":"Dieter Fox, Heni Ben Amor, Jiafei Duan, Ransalu Senanayake, Som Sagar, Sreevishakh Vasudevan, Yifan Zhou","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-03T20:34:51Z","title":"RoboMD: Uncovering Robot Vulnerabilities through Semantic Potential Fields"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.02818","kind":"arxiv","version":4},"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":"sha256:66440b74b007e716975f0215c0b477254799bd600f883697a3f8f2ad9a8573de","target":"record","created_at":"2026-05-20T01:04:29Z","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":"bad91ec705106310ad3e9fa0e1e53f2177f22c644c24d8ee14e8f05949f24069","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.RO","submitted_at":"2024-12-03T20:34:51Z","title_canon_sha256":"709f3abd7dc3ee774729852cafa25acf27120b6ad98a6a8ab8e861f0ad9850bd"},"schema_version":"1.0","source":{"id":"2412.02818","kind":"arxiv","version":4}},"canonical_sha256":"afdccf26ba922273b4e3bf70c863cd5ab6ddfd541bcad7684831ef7228db2119","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"afdccf26ba922273b4e3bf70c863cd5ab6ddfd541bcad7684831ef7228db2119","first_computed_at":"2026-05-20T01:04:29.939399Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-20T01:04:29.939399Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UA0QOR2QBhGJqG2dkfFf5EnW9b+mavdueQIEI3Y6qv21cUo6ktckBFIa+UB2lSuRmVrWm3AeaN4vs7JiGkGHCQ==","signature_status":"signed_v1","signed_at":"2026-05-20T01:04:29.940413Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.02818","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:66440b74b007e716975f0215c0b477254799bd600f883697a3f8f2ad9a8573de","sha256:db60b396c1e3af2e408996f1dcd3c4506982af0a7eeec3651472f2d978d7e525"],"state_sha256":"4050847eecdf85b35d7e29a553aaec064fee44605b799287687e1c56352660fe"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0yeX7enoOtxxZGHKuOpNBRY4oPzqUV0NJInrfAZQZBAtok2xSNcVUHhfX3GCOgkTNxKdk0eQqzxmix5PKei8AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-30T13:14:42.918917Z","bundle_sha256":"a68a2965d5ca7f6f4cb57ccb0107732eb5d8c7ee3bf5995f5c56ed50d2b5558e"}}