{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:HBFD2VW6R6TLMIYHPVCZVWEGRB","short_pith_number":"pith:HBFD2VW6","canonical_record":{"source":{"id":"2503.12069","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-15T10:02:38Z","cross_cats_sorted":[],"title_canon_sha256":"662b5fcd4fecb6326abd5221da92267e70dc07c79d96c9dc5accd073356487d6","abstract_canon_sha256":"163191ff3e2837681284dc336a4a26e0c9a8e2c4bd9ddb97ef6e52c89033c4cf"},"schema_version":"1.0"},"canonical_sha256":"384a3d56de8fa6b623077d459ad88688512eb0d9b05fe6790be42b329f7e503a","source":{"kind":"arxiv","id":"2503.12069","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.12069","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"arxiv_version","alias_value":"2503.12069v1","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.12069","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"pith_short_12","alias_value":"HBFD2VW6R6TL","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"pith_short_16","alias_value":"HBFD2VW6R6TLMIYH","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"pith_short_8","alias_value":"HBFD2VW6","created_at":"2026-07-05T10:32:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:HBFD2VW6R6TLMIYHPVCZVWEGRB","target":"record","payload":{"canonical_record":{"source":{"id":"2503.12069","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-15T10:02:38Z","cross_cats_sorted":[],"title_canon_sha256":"662b5fcd4fecb6326abd5221da92267e70dc07c79d96c9dc5accd073356487d6","abstract_canon_sha256":"163191ff3e2837681284dc336a4a26e0c9a8e2c4bd9ddb97ef6e52c89033c4cf"},"schema_version":"1.0"},"canonical_sha256":"384a3d56de8fa6b623077d459ad88688512eb0d9b05fe6790be42b329f7e503a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:32:04.615664Z","signature_b64":"RNoSJEJsUBExIK7rYkf28H6PdO0ei5U9p5lZWfWJ8vt623+xnUzOVJ/TYfaDDcqOoZN+3b4Pqb15mYeoav3UCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"384a3d56de8fa6b623077d459ad88688512eb0d9b05fe6790be42b329f7e503a","last_reissued_at":"2026-07-05T10:32:04.614818Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:32:04.614818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.12069","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":"2026-07-05T10:32:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6sqNHSqmCB+lWfjhYkY02MPWOmmkOpdoZEcsc07S0Tyo4OCOsD+owNURRqkJ6PjqMRFUfWzLaIHjLwLrjeL2CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:46:46.562334Z"},"content_sha256":"c0eea1a1f0b1dda611c7d62e426fde7f2169b7fa0e9e3dc4731215d64477d033","schema_version":"1.0","event_id":"sha256:c0eea1a1f0b1dda611c7d62e426fde7f2169b7fa0e9e3dc4731215d64477d033"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:HBFD2VW6R6TLMIYHPVCZVWEGRB","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Dataset Distillation by Matching Adversarial Trajectories","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jing Huo, Lei Wang, ren dongdong, Tianyu Ding, Wei Lai, Wenbin Li, Yang Gao","submitted_at":"2025-03-15T10:02:38Z","abstract_excerpt":"Dataset distillation synthesizes compact datasets that enable models to achieve performance comparable to training on the original large-scale datasets. However, existing distillation methods overlook the robustness of the model, resulting in models that are vulnerable to adversarial attacks when trained on distilled data. To address this limitation, we introduce the task of ``robust dataset distillation\", a novel paradigm that embeds adversarial robustness into the synthetic datasets during the distillation process. We propose Matching Adversarial Trajectories (MAT), a method that integrates "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.12069","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/2503.12069/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":"2026-07-05T10:32:04Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IN/hpWe83bFltPCvLPDXkg1/fYUo6jB6lsLlyGMu38450AIfGrLGV1e1Te4D71NWomYD8RogS7XUSzq/Vh7XBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T08:46:46.562929Z"},"content_sha256":"61fa852ff6187d48066adabbb107a92848a64a47b6b3133e6b08c04aec72b4cc","schema_version":"1.0","event_id":"sha256:61fa852ff6187d48066adabbb107a92848a64a47b6b3133e6b08c04aec72b4cc"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/HBFD2VW6R6TLMIYHPVCZVWEGRB/bundle.json","state_url":"https://pith.science/pith/HBFD2VW6R6TLMIYHPVCZVWEGRB/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/HBFD2VW6R6TLMIYHPVCZVWEGRB/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":"2026-08-11T08:46:46Z","links":{"resolver":"https://pith.science/pith/HBFD2VW6R6TLMIYHPVCZVWEGRB","bundle":"https://pith.science/pith/HBFD2VW6R6TLMIYHPVCZVWEGRB/bundle.json","state":"https://pith.science/pith/HBFD2VW6R6TLMIYHPVCZVWEGRB/state.json","well_known_bundle":"https://pith.science/.well-known/pith/HBFD2VW6R6TLMIYHPVCZVWEGRB/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:HBFD2VW6R6TLMIYHPVCZVWEGRB","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":"163191ff3e2837681284dc336a4a26e0c9a8e2c4bd9ddb97ef6e52c89033c4cf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-15T10:02:38Z","title_canon_sha256":"662b5fcd4fecb6326abd5221da92267e70dc07c79d96c9dc5accd073356487d6"},"schema_version":"1.0","source":{"id":"2503.12069","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.12069","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"arxiv_version","alias_value":"2503.12069v1","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.12069","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"pith_short_12","alias_value":"HBFD2VW6R6TL","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"pith_short_16","alias_value":"HBFD2VW6R6TLMIYH","created_at":"2026-07-05T10:32:04Z"},{"alias_kind":"pith_short_8","alias_value":"HBFD2VW6","created_at":"2026-07-05T10:32:04Z"}],"graph_snapshots":[{"event_id":"sha256:61fa852ff6187d48066adabbb107a92848a64a47b6b3133e6b08c04aec72b4cc","target":"graph","created_at":"2026-07-05T10:32:04Z","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/2503.12069/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dataset distillation synthesizes compact datasets that enable models to achieve performance comparable to training on the original large-scale datasets. However, existing distillation methods overlook the robustness of the model, resulting in models that are vulnerable to adversarial attacks when trained on distilled data. To address this limitation, we introduce the task of ``robust dataset distillation\", a novel paradigm that embeds adversarial robustness into the synthetic datasets during the distillation process. We propose Matching Adversarial Trajectories (MAT), a method that integrates ","authors_text":"Jing Huo, Lei Wang, ren dongdong, Tianyu Ding, Wei Lai, Wenbin Li, Yang Gao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-15T10:02:38Z","title":"Robust Dataset Distillation by Matching Adversarial Trajectories"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.12069","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:c0eea1a1f0b1dda611c7d62e426fde7f2169b7fa0e9e3dc4731215d64477d033","target":"record","created_at":"2026-07-05T10:32:04Z","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":"163191ff3e2837681284dc336a4a26e0c9a8e2c4bd9ddb97ef6e52c89033c4cf","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-15T10:02:38Z","title_canon_sha256":"662b5fcd4fecb6326abd5221da92267e70dc07c79d96c9dc5accd073356487d6"},"schema_version":"1.0","source":{"id":"2503.12069","kind":"arxiv","version":1}},"canonical_sha256":"384a3d56de8fa6b623077d459ad88688512eb0d9b05fe6790be42b329f7e503a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"384a3d56de8fa6b623077d459ad88688512eb0d9b05fe6790be42b329f7e503a","first_computed_at":"2026-07-05T10:32:04.614818Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:32:04.614818Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RNoSJEJsUBExIK7rYkf28H6PdO0ei5U9p5lZWfWJ8vt623+xnUzOVJ/TYfaDDcqOoZN+3b4Pqb15mYeoav3UCw==","signature_status":"signed_v1","signed_at":"2026-07-05T10:32:04.615664Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.12069","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c0eea1a1f0b1dda611c7d62e426fde7f2169b7fa0e9e3dc4731215d64477d033","sha256:61fa852ff6187d48066adabbb107a92848a64a47b6b3133e6b08c04aec72b4cc"],"state_sha256":"8aa5c0099849bfa88187c6148453c15611595d576541021ffef5258aa806a484"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GZ3MpmL8G3/ATQWhOtADeFTvCuh9JC7R2cmuwz2CPuI+O/bAZSDNQlJUfXJuB5h4f5oNXpef+F4T63EZ2CLlAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T08:46:46.567465Z","bundle_sha256":"743e8fa12efb08ab5c695c997fe17d64c7892a86e9116743492b37a59659f2cb"}}