{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:PE223QLSAHI5GBGXKBEGH64YMP","short_pith_number":"pith:PE223QLS","canonical_record":{"source":{"id":"2608.06088","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T14:29:05Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"6101ff925fd090ecdda6113a165e3c90eb8878b736c5556126196a4bf7bea66d","abstract_canon_sha256":"411b4c12a2905174bba1b09812823f69862742675ad832cff9b6cf2767e12b54"},"schema_version":"1.0"},"canonical_sha256":"7935adc17201d1d304d7504863fb9863c5a41a05a57d20cadf326f55dd08fdc2","source":{"kind":"arxiv","id":"2608.06088","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06088","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06088v1","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06088","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"pith_short_12","alias_value":"PE223QLSAHI5","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"pith_short_16","alias_value":"PE223QLSAHI5GBGX","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"pith_short_8","alias_value":"PE223QLS","created_at":"2026-08-07T01:40:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:PE223QLSAHI5GBGXKBEGH64YMP","target":"record","payload":{"canonical_record":{"source":{"id":"2608.06088","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T14:29:05Z","cross_cats_sorted":["cs.SE"],"title_canon_sha256":"6101ff925fd090ecdda6113a165e3c90eb8878b736c5556126196a4bf7bea66d","abstract_canon_sha256":"411b4c12a2905174bba1b09812823f69862742675ad832cff9b6cf2767e12b54"},"schema_version":"1.0"},"canonical_sha256":"7935adc17201d1d304d7504863fb9863c5a41a05a57d20cadf326f55dd08fdc2","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T01:40:30.750644Z","signature_b64":"G4o/OOJ8LLlBXlJDBkYOzGj1W99jk8L79MGpz1B35dMa5QzKy/fyiukPxI+ryVS0RdbyxfW9tI+RUv3Ucqw0DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7935adc17201d1d304d7504863fb9863c5a41a05a57d20cadf326f55dd08fdc2","last_reissued_at":"2026-08-07T01:40:30.749079Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T01:40:30.749079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2608.06088","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":"2026-08-07T01:40:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7k5IQqbAxL02Qw4fxGbFBeckfYqENaFEWvLEJDGVC9GoZGgdmwRoUGmQHrCaHEdu2rLqetFwWvEisd/YzqnBDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:00:14.341323Z"},"content_sha256":"8c0a4043ac0e45325b84c5d0f54fc1e0c1deadbbde814659f0f841881f9ae2da","schema_version":"1.0","event_id":"sha256:8c0a4043ac0e45325b84c5d0f54fc1e0c1deadbbde814659f0f841881f9ae2da"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:PE223QLSAHI5GBGXKBEGH64YMP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IcFuzz: Fuzzing Isaac Sim with Semantic Stage Guidance and Multi-level Mutation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.SE"],"primary_cat":"cs.RO","authors_text":"Jinyang Liu, Ruoxi Jia, Wei Li, Zeqin Liao, Zhixiang Chen, Zhuangbin Chen, Zibin Zheng","submitted_at":"2026-08-06T14:29:05Z","abstract_excerpt":"Robotics simulators serve as a foundational infrastructure for embodied AI, facilitating safe and scalable robotic system development. NVIDIA Isaac Sim has emerged as one of the most popular simulators, distinguished by its GPU-accelerated physics engine and photorealistic rendering, which enable high-fidelity modeling of complex environments. However, its inherent complexity inevitably introduces software bugs that can compromise simulation reliability. Existing fuzzing approaches struggle to test Isaac Sim effectively due to challenges of context-aware object semantics, hierarchical simulati"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06088","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/2608.06088/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":"2026-08-07T01:40:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5k6bhUsRV1GTLoFCVY7ThYJB8lN2ATQnj+jTU5E0NwCHdLiss8nAdfSPfemeJFpeafQr1URuEjSDuaNkKRVBCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:00:14.341811Z"},"content_sha256":"c2ea2039244f123dfee2e7aacc2bc52f45b369073eb82b26f3a0c630683f27d5","schema_version":"1.0","event_id":"sha256:c2ea2039244f123dfee2e7aacc2bc52f45b369073eb82b26f3a0c630683f27d5"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:PE223QLSAHI5GBGXKBEGH64YMP","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TETCI.2022.3141105) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Jiafei Duan, Shuang Yu, H. L. Tan, Hongyuan Zhu, and C. Tan. 2022. A Survey of Embodied AI: From Simulators to Research Tasks.IEEE Transactions on Emerging Topics in Computational Intelligence6, 2 (2022), 230–244. doi:10.1109/TETCI.2022. 31","arxiv_id":"2608.06088","detector":"doi_compliance","evidence":{"ref_index":14,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1109/tetci.2022","reconstructed_doi":"10.1109/TETCI.2022.3141105"},"severity":"advisory","ref_index":14,"audited_at":"2026-08-07T15:18:16.493669Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/TETCI.2022.3141105","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"1dd01ff01ff54d2a9c22134513d18499fa473781d2169b7158de40e2d69d5352","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18497,"payload_sha256":"8838f8bb12d9bfa27537065ca4c9f9c06b7a8c3fa0c7d3a83d1f12ad3a8161fd","signature_b64":"+WnT38dz9FKW31M29VX1PCzOC/aklgaPKVW1WG9VXasu+Em9RwceA8/1FmTY5S4HMaDKS6s8op3lhy7ef0rPBg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-07T15:18:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OvvfLmP22vRXj7g/6TPiIoSp9fsuGrYkztd8t89ANQU53KBxggOgw6sJg8QSm+Hrj7ZaFk+vNVOOeaI0c5G8CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:00:14.345123Z"},"content_sha256":"e20e03e4fb4ae6118ae702fb33c95c3b9b08d4e846f6a2d36adc508365ca884b","schema_version":"1.0","event_id":"sha256:e20e03e4fb4ae6118ae702fb33c95c3b9b08d4e846f6a2d36adc508365ca884b"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:PE223QLSAHI5GBGXKBEGH64YMP","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/ROBOT.2004.1302508) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Jennifer Carlson, Robin R. Murphy, and Andrew Nelson. 2004. Follow-Up Analysis of Mobile Robot Failures. InProceedings of the IEEE International Conference on Robotics and Automation (ICRA 2004). IEEE, 4987–4994. doi:10.1109/ROBOT.2004. 130","arxiv_id":"2608.06088","detector":"doi_compliance","evidence":{"ref_index":4,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1109/robot.2004","reconstructed_doi":"10.1109/ROBOT.2004.1302508"},"severity":"advisory","ref_index":4,"audited_at":"2026-08-07T15:18:16.493669Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/ROBOT.2004.1302508","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"65b3df14e5810a5a203fd5ac141b7bd82eee2e0932904058fde08a8213c05bcc","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":18496,"payload_sha256":"e5acef1865a3fcbb29655ee979d300ca5f4c4cc1cb9144242243fe0ba2c81712","signature_b64":"bcBewtLNm4Li/lbbPcPzVhwssCFpZuHMjUdD83vrlWiliWG+PFrJNQRKuly4Pr6LV9GTg9fUVlSk+qYszabZBg==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-07T15:18:34Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5y0Ix1yOtq05Z8o4rSjVur+RiV0mruyaAAaxLGnIfOcUfb+iQJVNKVesyq+P8kQcsYkCs+iQ3FPOd91pop1+DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T18:00:14.345498Z"},"content_sha256":"315ef33236484e028adbc4e456ed72fc2b5350942b842ed1868f9c006fa76432","schema_version":"1.0","event_id":"sha256:315ef33236484e028adbc4e456ed72fc2b5350942b842ed1868f9c006fa76432"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/PE223QLSAHI5GBGXKBEGH64YMP/bundle.json","state_url":"https://pith.science/pith/PE223QLSAHI5GBGXKBEGH64YMP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/PE223QLSAHI5GBGXKBEGH64YMP/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":"2026-08-08T18:00:14Z","links":{"resolver":"https://pith.science/pith/PE223QLSAHI5GBGXKBEGH64YMP","bundle":"https://pith.science/pith/PE223QLSAHI5GBGXKBEGH64YMP/bundle.json","state":"https://pith.science/pith/PE223QLSAHI5GBGXKBEGH64YMP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/PE223QLSAHI5GBGXKBEGH64YMP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:PE223QLSAHI5GBGXKBEGH64YMP","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"411b4c12a2905174bba1b09812823f69862742675ad832cff9b6cf2767e12b54","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T14:29:05Z","title_canon_sha256":"6101ff925fd090ecdda6113a165e3c90eb8878b736c5556126196a4bf7bea66d"},"schema_version":"1.0","source":{"id":"2608.06088","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2608.06088","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"arxiv_version","alias_value":"2608.06088v1","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06088","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"pith_short_12","alias_value":"PE223QLSAHI5","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"pith_short_16","alias_value":"PE223QLSAHI5GBGX","created_at":"2026-08-07T01:40:30Z"},{"alias_kind":"pith_short_8","alias_value":"PE223QLS","created_at":"2026-08-07T01:40:30Z"}],"graph_snapshots":[{"event_id":"sha256:c2ea2039244f123dfee2e7aacc2bc52f45b369073eb82b26f3a0c630683f27d5","target":"graph","created_at":"2026-08-07T01:40:30Z","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/2608.06088/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Robotics simulators serve as a foundational infrastructure for embodied AI, facilitating safe and scalable robotic system development. NVIDIA Isaac Sim has emerged as one of the most popular simulators, distinguished by its GPU-accelerated physics engine and photorealistic rendering, which enable high-fidelity modeling of complex environments. However, its inherent complexity inevitably introduces software bugs that can compromise simulation reliability. Existing fuzzing approaches struggle to test Isaac Sim effectively due to challenges of context-aware object semantics, hierarchical simulati","authors_text":"Jinyang Liu, Ruoxi Jia, Wei Li, Zeqin Liao, Zhixiang Chen, Zhuangbin Chen, Zibin Zheng","cross_cats":["cs.SE"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T14:29:05Z","title":"IcFuzz: Fuzzing Isaac Sim with Semantic Stage Guidance and Multi-level Mutation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06088","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":"sha256:8c0a4043ac0e45325b84c5d0f54fc1e0c1deadbbde814659f0f841881f9ae2da","target":"record","created_at":"2026-08-07T01:40:30Z","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":"411b4c12a2905174bba1b09812823f69862742675ad832cff9b6cf2767e12b54","cross_cats_sorted":["cs.SE"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.RO","submitted_at":"2026-08-06T14:29:05Z","title_canon_sha256":"6101ff925fd090ecdda6113a165e3c90eb8878b736c5556126196a4bf7bea66d"},"schema_version":"1.0","source":{"id":"2608.06088","kind":"arxiv","version":1}},"canonical_sha256":"7935adc17201d1d304d7504863fb9863c5a41a05a57d20cadf326f55dd08fdc2","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7935adc17201d1d304d7504863fb9863c5a41a05a57d20cadf326f55dd08fdc2","first_computed_at":"2026-08-07T01:40:30.749079Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-08-07T01:40:30.749079Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"G4o/OOJ8LLlBXlJDBkYOzGj1W99jk8L79MGpz1B35dMa5QzKy/fyiukPxI+ryVS0RdbyxfW9tI+RUv3Ucqw0DA==","signature_status":"signed_v1","signed_at":"2026-08-07T01:40:30.750644Z","signed_message":"canonical_sha256_bytes"},"source_id":"2608.06088","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:315ef33236484e028adbc4e456ed72fc2b5350942b842ed1868f9c006fa76432","sha256:e20e03e4fb4ae6118ae702fb33c95c3b9b08d4e846f6a2d36adc508365ca884b"]}],"invalid_events":[],"applied_event_ids":["sha256:8c0a4043ac0e45325b84c5d0f54fc1e0c1deadbbde814659f0f841881f9ae2da","sha256:c2ea2039244f123dfee2e7aacc2bc52f45b369073eb82b26f3a0c630683f27d5"],"state_sha256":"9808121278b362fdae9874b67c344d857b5f016e693f9aa6ee3b856c6568ca3c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GDoTlrH4f0EpNPGFNyxZVFVnr4ROgXO40YeUC3F3Err1O7BlrDV4ORzZUdT71V781aNeB5cvsrn12JvV8/i2Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T18:00:14.347972Z","bundle_sha256":"112505927e2b21fb4596dde0b29bb0b76b5c1ecd6e5e8a9a11865f7ac43ac542"}}