{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:YPAXGDNGTTHOM3XUPP3N22NCQU","short_pith_number":"pith:YPAXGDNG","canonical_record":{"source":{"id":"2510.16923","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-10-19T16:38:03Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"07644f8be6994d46e20e03bfe888703dac120a0381661194741644e3be011f3e","abstract_canon_sha256":"d761dd5d0b06f7c6510115e57ba1f2de6e2839e753bbc850eb56778995b8b54d"},"schema_version":"1.0"},"canonical_sha256":"c3c1730da69ccee66ef47bf6dd69a285077ea1f150c7ce49b6b0d6763a472573","source":{"kind":"arxiv","id":"2510.16923","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.16923","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"arxiv_version","alias_value":"2510.16923v3","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.16923","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"pith_short_12","alias_value":"YPAXGDNGTTHO","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"pith_short_16","alias_value":"YPAXGDNGTTHOM3XU","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"pith_short_8","alias_value":"YPAXGDNG","created_at":"2026-07-07T02:18:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:YPAXGDNGTTHOM3XUPP3N22NCQU","target":"record","payload":{"canonical_record":{"source":{"id":"2510.16923","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-10-19T16:38:03Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"07644f8be6994d46e20e03bfe888703dac120a0381661194741644e3be011f3e","abstract_canon_sha256":"d761dd5d0b06f7c6510115e57ba1f2de6e2839e753bbc850eb56778995b8b54d"},"schema_version":"1.0"},"canonical_sha256":"c3c1730da69ccee66ef47bf6dd69a285077ea1f150c7ce49b6b0d6763a472573","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-07T02:18:29.111923Z","signature_b64":"oh5i1TvZZ620ZSfIn0evznbPYAPEqNVWlNbGJ8yF0Eo3XudJwg+HiHQyw315GZLqLvzk84ZIvmPwU1EHbd4NCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3c1730da69ccee66ef47bf6dd69a285077ea1f150c7ce49b6b0d6763a472573","last_reissued_at":"2026-07-07T02:18:29.111127Z","signature_status":"signed_v1","first_computed_at":"2026-07-07T02:18:29.111127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2510.16923","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-07T02:18:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ivKKe2GQ1fD5kkDqWXOFV/qHzbY8OXhIvutqzOZNxuGMKzR6d3xoFXhzNaujhP2lf8U0iyhfamTBgVfPyEU6Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T19:47:12.319218Z"},"content_sha256":"f60cdb8fbd5d93ea0fc2f93b4cd087583f8e3e2c6b819c8699c96efff0161138","schema_version":"1.0","event_id":"sha256:f60cdb8fbd5d93ea0fc2f93b4cd087583f8e3e2c6b819c8699c96efff0161138"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:YPAXGDNGTTHOM3XUPP3N22NCQU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Alec Helbling, Duen Horng Chau, Haoran Wang, Mansi Phute, Martin Andreoni, Matthew Hull, ShengYun Peng, Wenke Lee, Willian Lunardi","submitted_at":"2025-10-19T16:38:03Z","abstract_excerpt":"Deep learning models deployed in safety critical applications like autonomous driving use simulations to test their robustness against adversarial attacks in realistic conditions. However, these simulations are non-differentiable, forcing researchers to create attacks that do not integrate simulation environmental factors, reducing attack success. To address this limitation, we introduce UNDREAM, the first software framework that bridges the gap between photorealistic simulators and differentiable renderers to enable end-to-end optimization of adversarial perturbations on any 3D objects. UNDRE"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.16923","kind":"arxiv","version":3},"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/2510.16923/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":"2026-07-07T02:18:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s+gxKXrbXsO5saWfM1ouUpB0ItBXQM0WB91z2ns+nCAHZKPl4KnLVPJXJwekW5Pa3BjnzEhBhWq2duMIxBXJBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-31T19:47:12.319714Z"},"content_sha256":"56e0f7af485ade29048980fd89e773007b7ab3486f6c4afe6a99016fca9d7c1f","schema_version":"1.0","event_id":"sha256:56e0f7af485ade29048980fd89e773007b7ab3486f6c4afe6a99016fca9d7c1f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YPAXGDNGTTHOM3XUPP3N22NCQU/bundle.json","state_url":"https://pith.science/pith/YPAXGDNGTTHOM3XUPP3N22NCQU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YPAXGDNGTTHOM3XUPP3N22NCQU/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":"2026-07-31T19:47:12Z","links":{"resolver":"https://pith.science/pith/YPAXGDNGTTHOM3XUPP3N22NCQU","bundle":"https://pith.science/pith/YPAXGDNGTTHOM3XUPP3N22NCQU/bundle.json","state":"https://pith.science/pith/YPAXGDNGTTHOM3XUPP3N22NCQU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YPAXGDNGTTHOM3XUPP3N22NCQU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YPAXGDNGTTHOM3XUPP3N22NCQU","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":"d761dd5d0b06f7c6510115e57ba1f2de6e2839e753bbc850eb56778995b8b54d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-10-19T16:38:03Z","title_canon_sha256":"07644f8be6994d46e20e03bfe888703dac120a0381661194741644e3be011f3e"},"schema_version":"1.0","source":{"id":"2510.16923","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.16923","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"arxiv_version","alias_value":"2510.16923v3","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.16923","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"pith_short_12","alias_value":"YPAXGDNGTTHO","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"pith_short_16","alias_value":"YPAXGDNGTTHOM3XU","created_at":"2026-07-07T02:18:29Z"},{"alias_kind":"pith_short_8","alias_value":"YPAXGDNG","created_at":"2026-07-07T02:18:29Z"}],"graph_snapshots":[{"event_id":"sha256:56e0f7af485ade29048980fd89e773007b7ab3486f6c4afe6a99016fca9d7c1f","target":"graph","created_at":"2026-07-07T02:18:29Z","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/2510.16923/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep learning models deployed in safety critical applications like autonomous driving use simulations to test their robustness against adversarial attacks in realistic conditions. However, these simulations are non-differentiable, forcing researchers to create attacks that do not integrate simulation environmental factors, reducing attack success. To address this limitation, we introduce UNDREAM, the first software framework that bridges the gap between photorealistic simulators and differentiable renderers to enable end-to-end optimization of adversarial perturbations on any 3D objects. UNDRE","authors_text":"Alec Helbling, Duen Horng Chau, Haoran Wang, Mansi Phute, Martin Andreoni, Matthew Hull, ShengYun Peng, Wenke Lee, Willian Lunardi","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-10-19T16:38:03Z","title":"UNDREAM: Bridging Differentiable Rendering and Photorealistic Simulation for End-to-end Adversarial Attacks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.16923","kind":"arxiv","version":3},"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:f60cdb8fbd5d93ea0fc2f93b4cd087583f8e3e2c6b819c8699c96efff0161138","target":"record","created_at":"2026-07-07T02:18:29Z","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":"d761dd5d0b06f7c6510115e57ba1f2de6e2839e753bbc850eb56778995b8b54d","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2025-10-19T16:38:03Z","title_canon_sha256":"07644f8be6994d46e20e03bfe888703dac120a0381661194741644e3be011f3e"},"schema_version":"1.0","source":{"id":"2510.16923","kind":"arxiv","version":3}},"canonical_sha256":"c3c1730da69ccee66ef47bf6dd69a285077ea1f150c7ce49b6b0d6763a472573","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3c1730da69ccee66ef47bf6dd69a285077ea1f150c7ce49b6b0d6763a472573","first_computed_at":"2026-07-07T02:18:29.111127Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-07T02:18:29.111127Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oh5i1TvZZ620ZSfIn0evznbPYAPEqNVWlNbGJ8yF0Eo3XudJwg+HiHQyw315GZLqLvzk84ZIvmPwU1EHbd4NCA==","signature_status":"signed_v1","signed_at":"2026-07-07T02:18:29.111923Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.16923","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f60cdb8fbd5d93ea0fc2f93b4cd087583f8e3e2c6b819c8699c96efff0161138","sha256:56e0f7af485ade29048980fd89e773007b7ab3486f6c4afe6a99016fca9d7c1f"],"state_sha256":"49e58b9c17fa987ca3e84f3e7941dfc32f589e4ee3e85a3a04644e6a03aeef97"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tRzv+pjWYzhbfVf0kDP58CQ8nYCcnOi53FtsO9SJK24hIG9iU5XvNL3ouq7MNtz8Xjms7ylZwvSIOLSFtcStDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-31T19:47:12.323734Z","bundle_sha256":"616e3916db6aeb243819d28cc2d7c131037daf6c5eaa86beb69ff04c932f9e5d"}}