{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:DOE5TLU73DFWQNSZI4PH46EIE6","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":"7cea61b3560a6b119bac577511083bfbd14776e48d2a4aa0be3185f8a0d3da8e","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-13T05:51:00Z","title_canon_sha256":"7a9b2445b28e91b349a6edc7c919cd24bb384e6952945e1ea74fc5db7499235e"},"schema_version":"1.0","source":{"id":"2106.06927","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2106.06927","created_at":"2026-07-05T05:09:03Z"},{"alias_kind":"arxiv_version","alias_value":"2106.06927v5","created_at":"2026-07-05T05:09:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2106.06927","created_at":"2026-07-05T05:09:03Z"},{"alias_kind":"pith_short_12","alias_value":"DOE5TLU73DFW","created_at":"2026-07-05T05:09:03Z"},{"alias_kind":"pith_short_16","alias_value":"DOE5TLU73DFWQNSZ","created_at":"2026-07-05T05:09:03Z"},{"alias_kind":"pith_short_8","alias_value":"DOE5TLU7","created_at":"2026-07-05T05:09:03Z"}],"graph_snapshots":[{"event_id":"sha256:de89fd0db4247d8f8050a01a06fee6e94feb6e13e9fcce48126a5cb8ca205c96","target":"graph","created_at":"2026-07-05T05:09:03Z","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/2106.06927/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite unconditional feature inversion being the foundation of many image synthesis applications, training an inverter demands a high computational budget, large decoding capacity and imposing conditions such as autoregressive priors. To address these limitations, we propose the use of adversarially robust representations as a perceptual primitive for feature inversion. We train an adversarially robust encoder to extract disentangled and perceptually-aligned image representations, making them easily invertible. By training a simple generator with the mirror architecture of the encoder, we ach","authors_text":"Anh Nguyen, Minh N. Do, Raymond A. Yeh, Renan A. Rojas-Gomez","cross_cats":["cs.LG","cs.NE"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-13T05:51:00Z","title":"Inverting Adversarially Robust Networks for Image Synthesis"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2106.06927","kind":"arxiv","version":5},"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":"sha256:2d6131b44d8e08653970c9ed972d77ed815a5fda7f060587548613d8de1df397","target":"record","created_at":"2026-07-05T05:09:03Z","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":"7cea61b3560a6b119bac577511083bfbd14776e48d2a4aa0be3185f8a0d3da8e","cross_cats_sorted":["cs.LG","cs.NE"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-06-13T05:51:00Z","title_canon_sha256":"7a9b2445b28e91b349a6edc7c919cd24bb384e6952945e1ea74fc5db7499235e"},"schema_version":"1.0","source":{"id":"2106.06927","kind":"arxiv","version":5}},"canonical_sha256":"1b89d9ae9fd8cb683659471e7e788827841f41b8118ae1d3791cd77c5189fdc3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1b89d9ae9fd8cb683659471e7e788827841f41b8118ae1d3791cd77c5189fdc3","first_computed_at":"2026-07-05T05:09:03.937590Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:09:03.937590Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"FH2a+0FRveoo5nxTiIlWYYvRkG1+qhSU++hfnv7vDrxfMmcqpTb5T7KjzOL69OmYSNSXkCnZyHs7h68mnMscDg==","signature_status":"signed_v1","signed_at":"2026-07-05T05:09:03.938006Z","signed_message":"canonical_sha256_bytes"},"source_id":"2106.06927","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2d6131b44d8e08653970c9ed972d77ed815a5fda7f060587548613d8de1df397","sha256:de89fd0db4247d8f8050a01a06fee6e94feb6e13e9fcce48126a5cb8ca205c96"],"state_sha256":"dc2c308c7ab7554f2976bbe0b2775e0bae1253e42aa65aca1256f34f48cfb1ce"}