{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:BIAHTLJV5KD33KUM6SAHSJBS24","short_pith_number":"pith:BIAHTLJV","canonical_record":{"source":{"id":"2607.15560","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2026-07-17T02:03:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"40750f96ce59babb492e4b84628787210d93ef420629efc1b8a1b50f6559e3ea","abstract_canon_sha256":"5eb625184d706fe6908a699702aaef9253a9fd65a4d946c79a2cca9a3455fb02"},"schema_version":"1.0"},"canonical_sha256":"0a0079ad35ea87bdaa8cf480792432d71cfc50812f3c4ecc628b354e973bd2c9","source":{"kind":"arxiv","id":"2607.15560","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15560","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15560v1","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15560","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"pith_short_12","alias_value":"BIAHTLJV5KD3","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"pith_short_16","alias_value":"BIAHTLJV5KD33KUM","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"pith_short_8","alias_value":"BIAHTLJV","created_at":"2026-07-20T00:18:40Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:BIAHTLJV5KD33KUM6SAHSJBS24","target":"record","payload":{"canonical_record":{"source":{"id":"2607.15560","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2026-07-17T02:03:11Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"40750f96ce59babb492e4b84628787210d93ef420629efc1b8a1b50f6559e3ea","abstract_canon_sha256":"5eb625184d706fe6908a699702aaef9253a9fd65a4d946c79a2cca9a3455fb02"},"schema_version":"1.0"},"canonical_sha256":"0a0079ad35ea87bdaa8cf480792432d71cfc50812f3c4ecc628b354e973bd2c9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T00:18:40.196835Z","signature_b64":"Wiorv8+ikCbvcI3nNuZnjEgCojpiVOL5SOjf6JlnwmRwHbWOdw/3ZrmrIpwe/+t4fDbiRGlijHegbky9f7IuBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0a0079ad35ea87bdaa8cf480792432d71cfc50812f3c4ecc628b354e973bd2c9","last_reissued_at":"2026-07-20T00:18:40.195983Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T00:18:40.195983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.15560","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":"2026-07-20T00:18:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CrxdMNGeZShvgmtSy1eta+hS2LM8CI9r7cKjvAjdygWeCemAbY+HH1AfdNXfPHQaTLCr5MyS6+HeLsMLwnKaDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:59:40.814354Z"},"content_sha256":"e5b1c7243e52583f257bae806eac41a154a062f8d862f43cde70cf60e835d1a3","schema_version":"1.0","event_id":"sha256:e5b1c7243e52583f257bae806eac41a154a062f8d862f43cde70cf60e835d1a3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:BIAHTLJV5KD33KUM6SAHSJBS24","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.NE","authors_text":"Jing Xu, Keqian Li, Mingyang Yu, Xu Yang","submitted_at":"2026-07-17T02:03:11Z","abstract_excerpt":"Physics-informed neural networks (PINNs) are unusually sensitive to interacting choices of architecture, activation, loss weighting, collocation, optimization, and constraint enforcement. Large language models (LLMs) can propose these choices, but independent recommendations do not accumulate experience from previously trained PINNs. We propose a closed-loop evolutionary algorithm that guides an LLM to generate complete, executable PINN configurations across generations, using measured training outcomes to determine subsequent search decisions. The algorithm maintains an evaluated population a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15560","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/2607.15560/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":"2026-07-20T00:18:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CUBx4Tu3Xi7Mh6tdmOxgqjJLyJwvy+f+s/ZCmjkxz6hq1f8UJxS2QKQ5Mgbq27OsvBThfcBhateLQm8RJxtkDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:59:40.814982Z"},"content_sha256":"144b773067c95f4113a267c1ec9732d46559a3e4d0881f21bc4d160fff1404ed","schema_version":"1.0","event_id":"sha256:144b773067c95f4113a267c1ec9732d46559a3e4d0881f21bc4d160fff1404ed"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BIAHTLJV5KD33KUM6SAHSJBS24/bundle.json","state_url":"https://pith.science/pith/BIAHTLJV5KD33KUM6SAHSJBS24/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BIAHTLJV5KD33KUM6SAHSJBS24/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":"2026-08-03T16:59:40Z","links":{"resolver":"https://pith.science/pith/BIAHTLJV5KD33KUM6SAHSJBS24","bundle":"https://pith.science/pith/BIAHTLJV5KD33KUM6SAHSJBS24/bundle.json","state":"https://pith.science/pith/BIAHTLJV5KD33KUM6SAHSJBS24/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BIAHTLJV5KD33KUM6SAHSJBS24/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:BIAHTLJV5KD33KUM6SAHSJBS24","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":"5eb625184d706fe6908a699702aaef9253a9fd65a4d946c79a2cca9a3455fb02","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2026-07-17T02:03:11Z","title_canon_sha256":"40750f96ce59babb492e4b84628787210d93ef420629efc1b8a1b50f6559e3ea"},"schema_version":"1.0","source":{"id":"2607.15560","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15560","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15560v1","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15560","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"pith_short_12","alias_value":"BIAHTLJV5KD3","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"pith_short_16","alias_value":"BIAHTLJV5KD33KUM","created_at":"2026-07-20T00:18:40Z"},{"alias_kind":"pith_short_8","alias_value":"BIAHTLJV","created_at":"2026-07-20T00:18:40Z"}],"graph_snapshots":[{"event_id":"sha256:144b773067c95f4113a267c1ec9732d46559a3e4d0881f21bc4d160fff1404ed","target":"graph","created_at":"2026-07-20T00:18:40Z","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/2607.15560/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Physics-informed neural networks (PINNs) are unusually sensitive to interacting choices of architecture, activation, loss weighting, collocation, optimization, and constraint enforcement. Large language models (LLMs) can propose these choices, but independent recommendations do not accumulate experience from previously trained PINNs. We propose a closed-loop evolutionary algorithm that guides an LLM to generate complete, executable PINN configurations across generations, using measured training outcomes to determine subsequent search decisions. The algorithm maintains an evaluated population a","authors_text":"Jing Xu, Keqian Li, Mingyang Yu, Xu Yang","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2026-07-17T02:03:11Z","title":"Evolutionary Algorithm-Guided LLMs for Physics-Informed Neural Network Design"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15560","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:e5b1c7243e52583f257bae806eac41a154a062f8d862f43cde70cf60e835d1a3","target":"record","created_at":"2026-07-20T00:18:40Z","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":"5eb625184d706fe6908a699702aaef9253a9fd65a4d946c79a2cca9a3455fb02","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.NE","submitted_at":"2026-07-17T02:03:11Z","title_canon_sha256":"40750f96ce59babb492e4b84628787210d93ef420629efc1b8a1b50f6559e3ea"},"schema_version":"1.0","source":{"id":"2607.15560","kind":"arxiv","version":1}},"canonical_sha256":"0a0079ad35ea87bdaa8cf480792432d71cfc50812f3c4ecc628b354e973bd2c9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a0079ad35ea87bdaa8cf480792432d71cfc50812f3c4ecc628b354e973bd2c9","first_computed_at":"2026-07-20T00:18:40.195983Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-20T00:18:40.195983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Wiorv8+ikCbvcI3nNuZnjEgCojpiVOL5SOjf6JlnwmRwHbWOdw/3ZrmrIpwe/+t4fDbiRGlijHegbky9f7IuBA==","signature_status":"signed_v1","signed_at":"2026-07-20T00:18:40.196835Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15560","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e5b1c7243e52583f257bae806eac41a154a062f8d862f43cde70cf60e835d1a3","sha256:144b773067c95f4113a267c1ec9732d46559a3e4d0881f21bc4d160fff1404ed"],"state_sha256":"2f6194f6146c03597865bbb2add58cf0e7156127802d793ca870254c5241ad3f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nHkRzQDtIu0Rl1K7Oer7uqs+LRh10vhEGTrN79UWs92/5ijVhq2MS+nvY7vpWJKx0c42QrmNY203x9NAUSTKAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:59:40.819125Z","bundle_sha256":"bb61e482d9f3346b873791496669e556a6e65ccf2ef670b63a2aaef5d17cba15"}}