{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:FKIQ4Q3DCYXG5OLWAIKALR77MD","short_pith_number":"pith:FKIQ4Q3D","schema_version":"1.0","canonical_sha256":"2a910e4363162e6eb976021405c7ff60d40785b94d209f6e0b7e2cb41b3ab628","source":{"kind":"arxiv","id":"2606.07146","version":1},"attestation_state":"computed","paper":{"title":"Decision-Aware Evaluation of Physics-Informed Surrogates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.LG","authors_text":"Andrzej Czy\\.zewski, Daniel Cie\\'slak","submitted_at":"2026-06-05T11:00:46Z","abstract_excerpt":"Physics-informed machine learning is often assessed by curve error, although engineering use depends on downstream decisions: ranking candidates, avoiding infeasible designs and limiting regret. We introduce pinn-gym, an open benchmark for material-conditioned lattice design that couples a transparent reduced-order crush-and-impact oracle with five printable polymer cards, dimensionless force-response targets and a protocol spanning curve fidelity, physical admissibility, top-k retrieval and mass regret.\n  Across per-material, pooled and cross-material settings, low nRMSE is frequently insuffi"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.07146","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2026-06-05T11:00:46Z","cross_cats_sorted":["cs.CE"],"title_canon_sha256":"de9fc616b4c9e142be9b7ea5b680de7e4af2d81faad01ae88e6d44762568e71d","abstract_canon_sha256":"12687f15ff0f273b071645ca54666abe63a7812754590627e3ce01866ec1f2a8"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-08T01:04:49.050663Z","signature_b64":"KZe09dTri+HRiV3oO/rTObACZ+4PivZVjoIa/A11cOSb1vE79wcl03MEpi2SoIgdlAjNpmeGosJWMXYVvk4vCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2a910e4363162e6eb976021405c7ff60d40785b94d209f6e0b7e2cb41b3ab628","last_reissued_at":"2026-06-08T01:04:49.050083Z","signature_status":"signed_v1","first_computed_at":"2026-06-08T01:04:49.050083Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Decision-Aware Evaluation of Physics-Informed Surrogates","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.CE"],"primary_cat":"cs.LG","authors_text":"Andrzej Czy\\.zewski, Daniel Cie\\'slak","submitted_at":"2026-06-05T11:00:46Z","abstract_excerpt":"Physics-informed machine learning is often assessed by curve error, although engineering use depends on downstream decisions: ranking candidates, avoiding infeasible designs and limiting regret. We introduce pinn-gym, an open benchmark for material-conditioned lattice design that couples a transparent reduced-order crush-and-impact oracle with five printable polymer cards, dimensionless force-response targets and a protocol spanning curve fidelity, physical admissibility, top-k retrieval and mass regret.\n  Across per-material, pooled and cross-material settings, low nRMSE is frequently insuffi"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07146","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/2606.07146/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.07146","created_at":"2026-06-08T01:04:49.050158+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.07146v1","created_at":"2026-06-08T01:04:49.050158+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07146","created_at":"2026-06-08T01:04:49.050158+00:00"},{"alias_kind":"pith_short_12","alias_value":"FKIQ4Q3DCYXG","created_at":"2026-06-08T01:04:49.050158+00:00"},{"alias_kind":"pith_short_16","alias_value":"FKIQ4Q3DCYXG5OLW","created_at":"2026-06-08T01:04:49.050158+00:00"},{"alias_kind":"pith_short_8","alias_value":"FKIQ4Q3D","created_at":"2026-06-08T01:04:49.050158+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD","json":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD.json","graph_json":"https://pith.science/api/pith-number/FKIQ4Q3DCYXG5OLWAIKALR77MD/graph.json","events_json":"https://pith.science/api/pith-number/FKIQ4Q3DCYXG5OLWAIKALR77MD/events.json","paper":"https://pith.science/paper/FKIQ4Q3D"},"agent_actions":{"view_html":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD","download_json":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD.json","view_paper":"https://pith.science/paper/FKIQ4Q3D","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.07146&json=true","fetch_graph":"https://pith.science/api/pith-number/FKIQ4Q3DCYXG5OLWAIKALR77MD/graph.json","fetch_events":"https://pith.science/api/pith-number/FKIQ4Q3DCYXG5OLWAIKALR77MD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD/action/storage_attestation","attest_author":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD/action/author_attestation","sign_citation":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD/action/citation_signature","submit_replication":"https://pith.science/pith/FKIQ4Q3DCYXG5OLWAIKALR77MD/action/replication_record"}},"created_at":"2026-06-08T01:04:49.050158+00:00","updated_at":"2026-06-08T01:04:49.050158+00:00"}