{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:MA66LD7ELAZHR37MEHAEFUED75","short_pith_number":"pith:MA66LD7E","canonical_record":{"source":{"id":"2605.20303","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T13:26:16Z","cross_cats_sorted":[],"title_canon_sha256":"9ea78b8e7bf09ec6d25a4d120e7ac795311338f96e517719ebd5954b76e0c582","abstract_canon_sha256":"8b433b57d9707e6f07498e698f87beef4853c49477d4c14afd47bec217f46a1d"},"schema_version":"1.0"},"canonical_sha256":"603de58fe4583278efec21c042d083ff73cff27bb4ae88ed0e09ba6f5dbba85d","source":{"kind":"arxiv","id":"2605.20303","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20303","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20303v1","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20303","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_12","alias_value":"MA66LD7ELAZH","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_16","alias_value":"MA66LD7ELAZHR37M","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_8","alias_value":"MA66LD7E","created_at":"2026-05-21T00:04:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:MA66LD7ELAZHR37MEHAEFUED75","target":"record","payload":{"canonical_record":{"source":{"id":"2605.20303","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T13:26:16Z","cross_cats_sorted":[],"title_canon_sha256":"9ea78b8e7bf09ec6d25a4d120e7ac795311338f96e517719ebd5954b76e0c582","abstract_canon_sha256":"8b433b57d9707e6f07498e698f87beef4853c49477d4c14afd47bec217f46a1d"},"schema_version":"1.0"},"canonical_sha256":"603de58fe4583278efec21c042d083ff73cff27bb4ae88ed0e09ba6f5dbba85d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-21T00:04:24.532138Z","signature_b64":"OLXyCtNjmDdiYMwbxpnMINWOwTMavpYnPr+MxSM8OBJdLvOnvl6Ae/UtABDJZ/DwAb8cnASaT6RxqHnhVBpBBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"603de58fe4583278efec21c042d083ff73cff27bb4ae88ed0e09ba6f5dbba85d","last_reissued_at":"2026-05-21T00:04:24.531609Z","signature_status":"signed_v1","first_computed_at":"2026-05-21T00:04:24.531609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.20303","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":"2026-05-21T00:04:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RJT1iNmeLAWH0DDI5Fyoecl1HmAIkL6M3bsD3+6ryqJB1nAMlhVAOpdMxZj6gHnVo+/tY5yP47bkbeRynCILDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T05:42:40.100720Z"},"content_sha256":"a0cfd290435df9d4940e4065774b94f857cb5456eed3792d739c1ebf4c3146a0","schema_version":"1.0","event_id":"sha256:a0cfd290435df9d4940e4065774b94f857cb5456eed3792d739c1ebf4c3146a0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:MA66LD7ELAZHR37MEHAEFUED75","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AirfoilGen: A valid-by-construction and performance-aware latent diffusion model for airfoil generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Min Tang, Qiang Zou, Zhijie Yang","submitted_at":"2026-05-19T13:26:16Z","abstract_excerpt":"Airfoil shape design is a fundamental task in aerospace engineering, with a direct impact on flight stability and fuel consumption. Deep learning has recently emerged as a promising tool for this task, but existing deep generative approaches remain limited in both geometric validity and physical controllability. They offer little control over the generated shapes, yielding invalid geometries, and they typically do not condition effectively on aerodynamic performance. To address these issues, this paper proposes AirfoilGen, a valid-by-construction and performance-aware latent diffusion model fo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20303","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/2605.20303/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":"2026-05-21T00:04:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WFtcSIYZ2OpKt1PsqL+DuhjlxbtxQKdNBRi5AFg6WZIjAAVSXxNZ2IRTlq2yb4nEMfHNI9t+fUEBzB3YgcojCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-22T05:42:40.101156Z"},"content_sha256":"1643d02f7c9ee116d0de37a1612c6d814bb48b3e6cf365d796a358c1244ef42e","schema_version":"1.0","event_id":"sha256:1643d02f7c9ee116d0de37a1612c6d814bb48b3e6cf365d796a358c1244ef42e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MA66LD7ELAZHR37MEHAEFUED75/bundle.json","state_url":"https://pith.science/pith/MA66LD7ELAZHR37MEHAEFUED75/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MA66LD7ELAZHR37MEHAEFUED75/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":"2026-05-22T05:42:40Z","links":{"resolver":"https://pith.science/pith/MA66LD7ELAZHR37MEHAEFUED75","bundle":"https://pith.science/pith/MA66LD7ELAZHR37MEHAEFUED75/bundle.json","state":"https://pith.science/pith/MA66LD7ELAZHR37MEHAEFUED75/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MA66LD7ELAZHR37MEHAEFUED75/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:MA66LD7ELAZHR37MEHAEFUED75","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":"8b433b57d9707e6f07498e698f87beef4853c49477d4c14afd47bec217f46a1d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T13:26:16Z","title_canon_sha256":"9ea78b8e7bf09ec6d25a4d120e7ac795311338f96e517719ebd5954b76e0c582"},"schema_version":"1.0","source":{"id":"2605.20303","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.20303","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"arxiv_version","alias_value":"2605.20303v1","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.20303","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_12","alias_value":"MA66LD7ELAZH","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_16","alias_value":"MA66LD7ELAZHR37M","created_at":"2026-05-21T00:04:24Z"},{"alias_kind":"pith_short_8","alias_value":"MA66LD7E","created_at":"2026-05-21T00:04:24Z"}],"graph_snapshots":[{"event_id":"sha256:1643d02f7c9ee116d0de37a1612c6d814bb48b3e6cf365d796a358c1244ef42e","target":"graph","created_at":"2026-05-21T00:04:24Z","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/2605.20303/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Airfoil shape design is a fundamental task in aerospace engineering, with a direct impact on flight stability and fuel consumption. Deep learning has recently emerged as a promising tool for this task, but existing deep generative approaches remain limited in both geometric validity and physical controllability. They offer little control over the generated shapes, yielding invalid geometries, and they typically do not condition effectively on aerodynamic performance. To address these issues, this paper proposes AirfoilGen, a valid-by-construction and performance-aware latent diffusion model fo","authors_text":"Min Tang, Qiang Zou, Zhijie Yang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T13:26:16Z","title":"AirfoilGen: A valid-by-construction and performance-aware latent diffusion model for airfoil generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.20303","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:a0cfd290435df9d4940e4065774b94f857cb5456eed3792d739c1ebf4c3146a0","target":"record","created_at":"2026-05-21T00:04:24Z","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":"8b433b57d9707e6f07498e698f87beef4853c49477d4c14afd47bec217f46a1d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-19T13:26:16Z","title_canon_sha256":"9ea78b8e7bf09ec6d25a4d120e7ac795311338f96e517719ebd5954b76e0c582"},"schema_version":"1.0","source":{"id":"2605.20303","kind":"arxiv","version":1}},"canonical_sha256":"603de58fe4583278efec21c042d083ff73cff27bb4ae88ed0e09ba6f5dbba85d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"603de58fe4583278efec21c042d083ff73cff27bb4ae88ed0e09ba6f5dbba85d","first_computed_at":"2026-05-21T00:04:24.531609Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T00:04:24.531609Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OLXyCtNjmDdiYMwbxpnMINWOwTMavpYnPr+MxSM8OBJdLvOnvl6Ae/UtABDJZ/DwAb8cnASaT6RxqHnhVBpBBQ==","signature_status":"signed_v1","signed_at":"2026-05-21T00:04:24.532138Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.20303","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a0cfd290435df9d4940e4065774b94f857cb5456eed3792d739c1ebf4c3146a0","sha256:1643d02f7c9ee116d0de37a1612c6d814bb48b3e6cf365d796a358c1244ef42e"],"state_sha256":"803d3b65215373659a3a60d98de34ead3c93478276bbedaaee6e8be8244a4096"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"7CkYpu7VGUfrJK05Y9uooSMUm6po9OzY67NnyTyUdSf8XnJUfh9ZaQg/78Nv4bKE+358G6h6a+dWqi7Z+5BaCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-22T05:42:40.104750Z","bundle_sha256":"415034d36ce811d603f43bce468e1100a37623bf5be17f82a87144001dcc9bdb"}}