{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JJHYKJ7HAA6DWUFR7TD4HFJNUT","short_pith_number":"pith:JJHYKJ7H","canonical_record":{"source":{"id":"2506.18304","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-23T05:42:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"436040b92efac27908f1349575c47db9a4714665701898f29981d2e81c1876ee","abstract_canon_sha256":"9e16938a7d0225a254785950e0b8f3ffe8fb09de3c68fd4e2c1355ddbdd19439"},"schema_version":"1.0"},"canonical_sha256":"4a4f8527e7003c3b50b1fcc7c3952da4e02b5155cf77d686878f8f5805205bda","source":{"kind":"arxiv","id":"2506.18304","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18304","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18304v1","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18304","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"pith_short_12","alias_value":"JJHYKJ7HAA6D","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"pith_short_16","alias_value":"JJHYKJ7HAA6DWUFR","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"pith_short_8","alias_value":"JJHYKJ7H","created_at":"2026-07-05T11:25:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JJHYKJ7HAA6DWUFR7TD4HFJNUT","target":"record","payload":{"canonical_record":{"source":{"id":"2506.18304","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-23T05:42:49Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"436040b92efac27908f1349575c47db9a4714665701898f29981d2e81c1876ee","abstract_canon_sha256":"9e16938a7d0225a254785950e0b8f3ffe8fb09de3c68fd4e2c1355ddbdd19439"},"schema_version":"1.0"},"canonical_sha256":"4a4f8527e7003c3b50b1fcc7c3952da4e02b5155cf77d686878f8f5805205bda","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:25:48.307465Z","signature_b64":"ta3rfBupAR9LUEb00DBH7gLJleShBtpvj378AkPUSsVFOD5sUQK7B8q/dZMo34wr8nt6dONTDdVdZ1xFoTD3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4a4f8527e7003c3b50b1fcc7c3952da4e02b5155cf77d686878f8f5805205bda","last_reissued_at":"2026-07-05T11:25:48.306962Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:25:48.306962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.18304","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":"2026-07-05T11:25:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3Rv+L0aQbXeoAxmMn0UXzZOT2ChIkw35qJ+L5BT0iyFg8fswYqE0zrdsnp+fcO08Ln9sPO30feXLEcswo2lEDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:50:46.027404Z"},"content_sha256":"d89b6394188ea61ea41193f7c7eb65edb949737a4433e4f08ae4ca4484b753dd","schema_version":"1.0","event_id":"sha256:d89b6394188ea61ea41193f7c7eb65edb949737a4433e4f08ae4ca4484b753dd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JJHYKJ7HAA6DWUFR7TD4HFJNUT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Junchao Fan, Xiaolin Chang, Xuyang Lei","submitted_at":"2025-06-23T05:42:49Z","abstract_excerpt":"Deep reinforcement learning (DRL) has emerged as a promising paradigm for autonomous driving. However, despite their advanced capabilities, DRL-based policies remain highly vulnerable to adversarial attacks, posing serious safety risks in real-world deployments. Investigating such attacks is crucial for revealing policy vulnerabilities and guiding the development of more robust autonomous systems. While prior attack methods have made notable progress, they still face several challenges: 1) they often rely on high-frequency attacks, yet critical attack opportunities are typically context-depend"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18304","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/2506.18304/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":"2026-07-05T11:25:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9TtzytViZwzRaIPMXh2ypBuJ/Ilgzt8VkzeSpBDWvbrQ8knjso2XIHEq095+MHOqN3KN0ifCk2RHGld+QmfRDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T22:50:46.027926Z"},"content_sha256":"7151c534bc8ba28dd180b43ca4f39a5da158a3d7c6ef4a686a7caa51100aac7c","schema_version":"1.0","event_id":"sha256:7151c534bc8ba28dd180b43ca4f39a5da158a3d7c6ef4a686a7caa51100aac7c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JJHYKJ7HAA6DWUFR7TD4HFJNUT/bundle.json","state_url":"https://pith.science/pith/JJHYKJ7HAA6DWUFR7TD4HFJNUT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JJHYKJ7HAA6DWUFR7TD4HFJNUT/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":"2026-08-18T22:50:46Z","links":{"resolver":"https://pith.science/pith/JJHYKJ7HAA6DWUFR7TD4HFJNUT","bundle":"https://pith.science/pith/JJHYKJ7HAA6DWUFR7TD4HFJNUT/bundle.json","state":"https://pith.science/pith/JJHYKJ7HAA6DWUFR7TD4HFJNUT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JJHYKJ7HAA6DWUFR7TD4HFJNUT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JJHYKJ7HAA6DWUFR7TD4HFJNUT","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":"9e16938a7d0225a254785950e0b8f3ffe8fb09de3c68fd4e2c1355ddbdd19439","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-23T05:42:49Z","title_canon_sha256":"436040b92efac27908f1349575c47db9a4714665701898f29981d2e81c1876ee"},"schema_version":"1.0","source":{"id":"2506.18304","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.18304","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"arxiv_version","alias_value":"2506.18304v1","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.18304","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"pith_short_12","alias_value":"JJHYKJ7HAA6D","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"pith_short_16","alias_value":"JJHYKJ7HAA6DWUFR","created_at":"2026-07-05T11:25:48Z"},{"alias_kind":"pith_short_8","alias_value":"JJHYKJ7H","created_at":"2026-07-05T11:25:48Z"}],"graph_snapshots":[{"event_id":"sha256:7151c534bc8ba28dd180b43ca4f39a5da158a3d7c6ef4a686a7caa51100aac7c","target":"graph","created_at":"2026-07-05T11:25:48Z","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/2506.18304/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Deep reinforcement learning (DRL) has emerged as a promising paradigm for autonomous driving. However, despite their advanced capabilities, DRL-based policies remain highly vulnerable to adversarial attacks, posing serious safety risks in real-world deployments. Investigating such attacks is crucial for revealing policy vulnerabilities and guiding the development of more robust autonomous systems. While prior attack methods have made notable progress, they still face several challenges: 1) they often rely on high-frequency attacks, yet critical attack opportunities are typically context-depend","authors_text":"Junchao Fan, Xiaolin Chang, Xuyang Lei","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-23T05:42:49Z","title":"Sharpening the Spear: Adaptive Expert-Guided Adversarial Attack Against DRL-based Autonomous Driving Policies"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.18304","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:d89b6394188ea61ea41193f7c7eb65edb949737a4433e4f08ae4ca4484b753dd","target":"record","created_at":"2026-07-05T11:25:48Z","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":"9e16938a7d0225a254785950e0b8f3ffe8fb09de3c68fd4e2c1355ddbdd19439","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2025-06-23T05:42:49Z","title_canon_sha256":"436040b92efac27908f1349575c47db9a4714665701898f29981d2e81c1876ee"},"schema_version":"1.0","source":{"id":"2506.18304","kind":"arxiv","version":1}},"canonical_sha256":"4a4f8527e7003c3b50b1fcc7c3952da4e02b5155cf77d686878f8f5805205bda","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a4f8527e7003c3b50b1fcc7c3952da4e02b5155cf77d686878f8f5805205bda","first_computed_at":"2026-07-05T11:25:48.306962Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:25:48.306962Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ta3rfBupAR9LUEb00DBH7gLJleShBtpvj378AkPUSsVFOD5sUQK7B8q/dZMo34wr8nt6dONTDdVdZ1xFoTD3AA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:25:48.307465Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.18304","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d89b6394188ea61ea41193f7c7eb65edb949737a4433e4f08ae4ca4484b753dd","sha256:7151c534bc8ba28dd180b43ca4f39a5da158a3d7c6ef4a686a7caa51100aac7c"],"state_sha256":"bfe11be7fc634211bf1589ba5117748c5a7071ad3004d0287df4b18990a5de16"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lX27l4CYOdAQs3WE+/O4WKPexMZ7npdNkz4STpUpHd+d67d1yk9qWPBf+c5CRirdbdmnLqOEcUThnP5Yzmx1Aw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T22:50:46.033440Z","bundle_sha256":"f0568cce516aaa8c2407dc1a057738e7837120c6a8608511406b743214fa4e33"}}