{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:UVYTC2F7EJ6ZGTWZL2STJ4NJPU","short_pith_number":"pith:UVYTC2F7","canonical_record":{"source":{"id":"2502.01896","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T00:02:16Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"39090c07453c625781ad06181e2cd8c2e9ede1e0614e7e9829d36b75d36c1b6a","abstract_canon_sha256":"168ab946a80c5baf71a5f854ba25161151dfd81fb9e18384f70ea4454331de6d"},"schema_version":"1.0"},"canonical_sha256":"a5713168bf227d934ed95ea534f1a97d09953fa477d64eb9a6621d0450915ab9","source":{"kind":"arxiv","id":"2502.01896","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.01896","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"arxiv_version","alias_value":"2502.01896v1","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.01896","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"pith_short_12","alias_value":"UVYTC2F7EJ6Z","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"pith_short_16","alias_value":"UVYTC2F7EJ6ZGTWZ","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"pith_short_8","alias_value":"UVYTC2F7","created_at":"2026-07-05T10:09:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:UVYTC2F7EJ6ZGTWZL2STJ4NJPU","target":"record","payload":{"canonical_record":{"source":{"id":"2502.01896","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T00:02:16Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"39090c07453c625781ad06181e2cd8c2e9ede1e0614e7e9829d36b75d36c1b6a","abstract_canon_sha256":"168ab946a80c5baf71a5f854ba25161151dfd81fb9e18384f70ea4454331de6d"},"schema_version":"1.0"},"canonical_sha256":"a5713168bf227d934ed95ea534f1a97d09953fa477d64eb9a6621d0450915ab9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:09:20.813488Z","signature_b64":"s3hwquUiVqCNygWyWUFpbSBdGCKCwQSQ0dRtVUzgpPH1JGiqb9Ao4Et4OasCEXDpdZBYosf6jy8pZ8Lb625RBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a5713168bf227d934ed95ea534f1a97d09953fa477d64eb9a6621d0450915ab9","last_reissued_at":"2026-07-05T10:09:20.812983Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:09:20.812983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2502.01896","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":"2026-07-05T10:09:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1TV5mVC6Rwq8qhyzh43UYzKzy4nWF/vB6wXYj/d6oSMThuy1eKFhSASjCHb9ZkxKAt6h3QM3s3vWoLGi1I86DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T03:04:06.770303Z"},"content_sha256":"1a3ff98c994af0b00f61003f149f85483b43ca4cc84472b1e4d1cf860a458086","schema_version":"1.0","event_id":"sha256:1a3ff98c994af0b00f61003f149f85483b43ca4cc84472b1e4d1cf860a458086"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:UVYTC2F7EJ6ZGTWZL2STJ4NJPU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Amit Ranjan Trivedi, Divake Kumar, Nastaran Darabi, Sina Tayebati","submitted_at":"2025-02-04T00:02:16Z","abstract_excerpt":"In this work, we present INTACT, a novel two-phase framework designed to enhance the robustness of deep neural networks (DNNs) against noisy LiDAR data in safety-critical perception tasks. INTACT combines meta-learning with adversarial curriculum training (ACT) to systematically address challenges posed by data corruption and sparsity in 3D point clouds. The meta-learning phase equips a teacher network with task-agnostic priors, enabling it to generate robust saliency maps that identify critical data regions. The ACT phase leverages these saliency maps to progressively expose a student network"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.01896","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/2502.01896/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":"2026-07-05T10:09:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2h09bbY9MwvmIhUWOuFoGB9IEJGC3lQ5ARcuBxMqySL+L1gsLU68bUrSLRd5qq8jC3tqdztIxOeEqRNtj0AKBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T03:04:06.770811Z"},"content_sha256":"c925e726a96fed4501323a462c02405e5fdec2b7069f3f8b4bd1c15396b3cebb","schema_version":"1.0","event_id":"sha256:c925e726a96fed4501323a462c02405e5fdec2b7069f3f8b4bd1c15396b3cebb"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UVYTC2F7EJ6ZGTWZL2STJ4NJPU/bundle.json","state_url":"https://pith.science/pith/UVYTC2F7EJ6ZGTWZL2STJ4NJPU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UVYTC2F7EJ6ZGTWZL2STJ4NJPU/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":"2026-08-11T03:04:06Z","links":{"resolver":"https://pith.science/pith/UVYTC2F7EJ6ZGTWZL2STJ4NJPU","bundle":"https://pith.science/pith/UVYTC2F7EJ6ZGTWZL2STJ4NJPU/bundle.json","state":"https://pith.science/pith/UVYTC2F7EJ6ZGTWZL2STJ4NJPU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UVYTC2F7EJ6ZGTWZL2STJ4NJPU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:UVYTC2F7EJ6ZGTWZL2STJ4NJPU","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":"168ab946a80c5baf71a5f854ba25161151dfd81fb9e18384f70ea4454331de6d","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T00:02:16Z","title_canon_sha256":"39090c07453c625781ad06181e2cd8c2e9ede1e0614e7e9829d36b75d36c1b6a"},"schema_version":"1.0","source":{"id":"2502.01896","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2502.01896","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"arxiv_version","alias_value":"2502.01896v1","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2502.01896","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"pith_short_12","alias_value":"UVYTC2F7EJ6Z","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"pith_short_16","alias_value":"UVYTC2F7EJ6ZGTWZ","created_at":"2026-07-05T10:09:20Z"},{"alias_kind":"pith_short_8","alias_value":"UVYTC2F7","created_at":"2026-07-05T10:09:20Z"}],"graph_snapshots":[{"event_id":"sha256:c925e726a96fed4501323a462c02405e5fdec2b7069f3f8b4bd1c15396b3cebb","target":"graph","created_at":"2026-07-05T10:09:20Z","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/2502.01896/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, we present INTACT, a novel two-phase framework designed to enhance the robustness of deep neural networks (DNNs) against noisy LiDAR data in safety-critical perception tasks. INTACT combines meta-learning with adversarial curriculum training (ACT) to systematically address challenges posed by data corruption and sparsity in 3D point clouds. The meta-learning phase equips a teacher network with task-agnostic priors, enabling it to generate robust saliency maps that identify critical data regions. The ACT phase leverages these saliency maps to progressively expose a student network","authors_text":"Amit Ranjan Trivedi, Divake Kumar, Nastaran Darabi, Sina Tayebati","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T00:02:16Z","title":"INTACT: Inducing Noise Tolerance through Adversarial Curriculum Training for LiDAR-based Safety-Critical Perception and Autonomy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2502.01896","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":"sha256:1a3ff98c994af0b00f61003f149f85483b43ca4cc84472b1e4d1cf860a458086","target":"record","created_at":"2026-07-05T10:09:20Z","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":"168ab946a80c5baf71a5f854ba25161151dfd81fb9e18384f70ea4454331de6d","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-02-04T00:02:16Z","title_canon_sha256":"39090c07453c625781ad06181e2cd8c2e9ede1e0614e7e9829d36b75d36c1b6a"},"schema_version":"1.0","source":{"id":"2502.01896","kind":"arxiv","version":1}},"canonical_sha256":"a5713168bf227d934ed95ea534f1a97d09953fa477d64eb9a6621d0450915ab9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a5713168bf227d934ed95ea534f1a97d09953fa477d64eb9a6621d0450915ab9","first_computed_at":"2026-07-05T10:09:20.812983Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:09:20.812983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s3hwquUiVqCNygWyWUFpbSBdGCKCwQSQ0dRtVUzgpPH1JGiqb9Ao4Et4OasCEXDpdZBYosf6jy8pZ8Lb625RBg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:09:20.813488Z","signed_message":"canonical_sha256_bytes"},"source_id":"2502.01896","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a3ff98c994af0b00f61003f149f85483b43ca4cc84472b1e4d1cf860a458086","sha256:c925e726a96fed4501323a462c02405e5fdec2b7069f3f8b4bd1c15396b3cebb"],"state_sha256":"2825ae8ee7aa039c103c604f27034197d890c2532cc4c23a9e577bad6aa32bcc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5F13+RmKNY3mmGqdqbYlofz/gPx5wNvNBsV75ULAC0OC8w43uMVL10iAcvfg/Y0voZ5Y1KFQoi2dtqTCrw5rAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T03:04:06.775945Z","bundle_sha256":"79dadb0c43b533b70567541862179a12c6a34373030c0a4c559b5ccaeba6fce2"}}