{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:EKTYQ24SVDOI4KHBVUNLMEDI54","short_pith_number":"pith:EKTYQ24S","canonical_record":{"source":{"id":"2208.13780","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-08-29T12:09:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2b5dfc25d836758ccd2f2c624a86af58ae440c7c6bbff8d292bd26fea4cc720c","abstract_canon_sha256":"2d669a448a392295856a9367f827841ba3670d20e527d884df37f21d0163cb55"},"schema_version":"1.0"},"canonical_sha256":"22a7886b92a8dc8e28e1ad1ab61068ef10b41f217a478199a47f3b287e335920","source":{"kind":"arxiv","id":"2208.13780","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13780","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13780v2","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13780","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"pith_short_12","alias_value":"EKTYQ24SVDOI","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"pith_short_16","alias_value":"EKTYQ24SVDOI4KHB","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"pith_short_8","alias_value":"EKTYQ24S","created_at":"2026-07-05T05:07:02Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:EKTYQ24SVDOI4KHBVUNLMEDI54","target":"record","payload":{"canonical_record":{"source":{"id":"2208.13780","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-08-29T12:09:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"2b5dfc25d836758ccd2f2c624a86af58ae440c7c6bbff8d292bd26fea4cc720c","abstract_canon_sha256":"2d669a448a392295856a9367f827841ba3670d20e527d884df37f21d0163cb55"},"schema_version":"1.0"},"canonical_sha256":"22a7886b92a8dc8e28e1ad1ab61068ef10b41f217a478199a47f3b287e335920","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:07:02.203255Z","signature_b64":"zQHyYJzJymLD31ID8zLMdzRphWwNy5Vex3x105gag3DQnr50srlphAHfqG4I2iInvk3X3PuInfYs4IJQzLLOBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22a7886b92a8dc8e28e1ad1ab61068ef10b41f217a478199a47f3b287e335920","last_reissued_at":"2026-07-05T05:07:02.202781Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:07:02.202781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.13780","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:07:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"H7+l0vvG6VKzK9uJSdLnhWRj2WJ7AmTNBsjww1AT7IowZ50ldQih9aiejrSjKqxsNAjV4P6K4MtuKyaFIX3PCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:02:00.562222Z"},"content_sha256":"9c87da41bdf9308f99d5998d3d7f24f4086fda191bed10d97a99ca713a39bf17","schema_version":"1.0","event_id":"sha256:9c87da41bdf9308f99d5998d3d7f24f4086fda191bed10d97a99ca713a39bf17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:EKTYQ24SVDOI4KHBVUNLMEDI54","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Autoinverse: Uncertainty Aware Inversion of Neural Networks","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.LG","authors_text":"Hans-Peter Seidel, Navid Ansari, Nima Vahidi Ferdowsi, Vahid Babaei","submitted_at":"2022-08-29T12:09:32Z","abstract_excerpt":"Neural networks are powerful surrogates for numerous forward processes. The inversion of such surrogates is extremely valuable in science and engineering. The most important property of a successful neural inverse method is the performance of its solutions when deployed in the real world, i.e., on the native forward process (and not only the learned surrogate). We propose Autoinverse, a highly automated approach for inverting neural network surrogates. Our main insight is to seek inverse solutions in the vicinity of reliable data which have been sampled form the forward process and used for tr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13780","kind":"arxiv","version":2},"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/2208.13780/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":"2026-07-05T05:07:02Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+qF20tadWIkPswom+LG0DV0n1LqVrsquk3eqUjGlOG9xyLSpc/XwrgUeHrj1mytfxWZhe5sRjjveo8/BwhxODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T21:02:00.563194Z"},"content_sha256":"7045e4cb90949a20dab53dc4b58e15c01911bd4cd051dc6d623749709f8117a6","schema_version":"1.0","event_id":"sha256:7045e4cb90949a20dab53dc4b58e15c01911bd4cd051dc6d623749709f8117a6"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EKTYQ24SVDOI4KHBVUNLMEDI54/bundle.json","state_url":"https://pith.science/pith/EKTYQ24SVDOI4KHBVUNLMEDI54/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EKTYQ24SVDOI4KHBVUNLMEDI54/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":"2026-08-09T21:02:00Z","links":{"resolver":"https://pith.science/pith/EKTYQ24SVDOI4KHBVUNLMEDI54","bundle":"https://pith.science/pith/EKTYQ24SVDOI4KHBVUNLMEDI54/bundle.json","state":"https://pith.science/pith/EKTYQ24SVDOI4KHBVUNLMEDI54/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EKTYQ24SVDOI4KHBVUNLMEDI54/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:EKTYQ24SVDOI4KHBVUNLMEDI54","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":"2d669a448a392295856a9367f827841ba3670d20e527d884df37f21d0163cb55","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-08-29T12:09:32Z","title_canon_sha256":"2b5dfc25d836758ccd2f2c624a86af58ae440c7c6bbff8d292bd26fea4cc720c"},"schema_version":"1.0","source":{"id":"2208.13780","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.13780","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"arxiv_version","alias_value":"2208.13780v2","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.13780","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"pith_short_12","alias_value":"EKTYQ24SVDOI","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"pith_short_16","alias_value":"EKTYQ24SVDOI4KHB","created_at":"2026-07-05T05:07:02Z"},{"alias_kind":"pith_short_8","alias_value":"EKTYQ24S","created_at":"2026-07-05T05:07:02Z"}],"graph_snapshots":[{"event_id":"sha256:7045e4cb90949a20dab53dc4b58e15c01911bd4cd051dc6d623749709f8117a6","target":"graph","created_at":"2026-07-05T05:07:02Z","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/2208.13780/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural networks are powerful surrogates for numerous forward processes. The inversion of such surrogates is extremely valuable in science and engineering. The most important property of a successful neural inverse method is the performance of its solutions when deployed in the real world, i.e., on the native forward process (and not only the learned surrogate). We propose Autoinverse, a highly automated approach for inverting neural network surrogates. Our main insight is to seek inverse solutions in the vicinity of reliable data which have been sampled form the forward process and used for tr","authors_text":"Hans-Peter Seidel, Navid Ansari, Nima Vahidi Ferdowsi, Vahid Babaei","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-08-29T12:09:32Z","title":"Autoinverse: Uncertainty Aware Inversion of Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.13780","kind":"arxiv","version":2},"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":"sha256:9c87da41bdf9308f99d5998d3d7f24f4086fda191bed10d97a99ca713a39bf17","target":"record","created_at":"2026-07-05T05:07:02Z","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":"2d669a448a392295856a9367f827841ba3670d20e527d884df37f21d0163cb55","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.LG","submitted_at":"2022-08-29T12:09:32Z","title_canon_sha256":"2b5dfc25d836758ccd2f2c624a86af58ae440c7c6bbff8d292bd26fea4cc720c"},"schema_version":"1.0","source":{"id":"2208.13780","kind":"arxiv","version":2}},"canonical_sha256":"22a7886b92a8dc8e28e1ad1ab61068ef10b41f217a478199a47f3b287e335920","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"22a7886b92a8dc8e28e1ad1ab61068ef10b41f217a478199a47f3b287e335920","first_computed_at":"2026-07-05T05:07:02.202781Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:07:02.202781Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"zQHyYJzJymLD31ID8zLMdzRphWwNy5Vex3x105gag3DQnr50srlphAHfqG4I2iInvk3X3PuInfYs4IJQzLLOBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:07:02.203255Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.13780","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c87da41bdf9308f99d5998d3d7f24f4086fda191bed10d97a99ca713a39bf17","sha256:7045e4cb90949a20dab53dc4b58e15c01911bd4cd051dc6d623749709f8117a6"],"state_sha256":"d7da00956aa32baa63317a74dc7760a677702a61b43a1014df21f440e62ee5ab"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"W6ckT1vdjRmZqRFtKeAl9tVJAx7EPVcp6uiEY6ubFmjZvv6dQr+g8RD52pgGKY7FWabpTavSBZ8ZBVjJc328Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T21:02:00.568291Z","bundle_sha256":"a209caa7e6e88041dcdb9414d39011f9380fabe610ab8a6f141eef7c8650f5a8"}}