{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:J4SPCIPYR72S5Q46MHFV5VMWXI","short_pith_number":"pith:J4SPCIPY","canonical_record":{"source":{"id":"2505.12557","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-18T22:07:44Z","cross_cats_sorted":["cs.SD","eess.SP","physics.app-ph"],"title_canon_sha256":"a5e9db6324316da67b9d3e72865dbc3ebdbec4f30785d1631d969ba37079d2cc","abstract_canon_sha256":"a8bafb17334f4e585c776f599719b87775b976cfdd66bc257216a0303cffb574"},"schema_version":"1.0"},"canonical_sha256":"4f24f121f88ff52ec39e61cb5ed596ba219751e3c6b9e0bff55d160b557cf66b","source":{"kind":"arxiv","id":"2505.12557","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.12557","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"arxiv_version","alias_value":"2505.12557v1","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.12557","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"pith_short_12","alias_value":"J4SPCIPYR72S","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"pith_short_16","alias_value":"J4SPCIPYR72S5Q46","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"pith_short_8","alias_value":"J4SPCIPY","created_at":"2026-07-05T11:05:06Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:J4SPCIPYR72S5Q46MHFV5VMWXI","target":"record","payload":{"canonical_record":{"source":{"id":"2505.12557","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-18T22:07:44Z","cross_cats_sorted":["cs.SD","eess.SP","physics.app-ph"],"title_canon_sha256":"a5e9db6324316da67b9d3e72865dbc3ebdbec4f30785d1631d969ba37079d2cc","abstract_canon_sha256":"a8bafb17334f4e585c776f599719b87775b976cfdd66bc257216a0303cffb574"},"schema_version":"1.0"},"canonical_sha256":"4f24f121f88ff52ec39e61cb5ed596ba219751e3c6b9e0bff55d160b557cf66b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:05:06.014624Z","signature_b64":"xf8FZf8hyTSP54BaB6Dh5e1XJskMs+dDSg/gmwhSSE89a2RO0jvkJ2UrUUK7ZSQdd5aWg/3nakstuDIwhqtECw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4f24f121f88ff52ec39e61cb5ed596ba219751e3c6b9e0bff55d160b557cf66b","last_reissued_at":"2026-07-05T11:05:06.014171Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:05:06.014171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.12557","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":"2026-07-05T11:05:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"78UcDEBVpYVsKdyCYJArpsKIsg15sfogoXtEaXFfSZQaiwPGIAuq3DMBYKy4RqtMX89gFEYp+6DkOL9PKr+XBg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:40:48.556557Z"},"content_sha256":"cde8b427405eac60eb92a076eabbe6595587b51ec4e18ac47798aa1812b9bd49","schema_version":"1.0","event_id":"sha256:cde8b427405eac60eb92a076eabbe6595587b51ec4e18ac47798aa1812b9bd49"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:J4SPCIPYR72S5Q46MHFV5VMWXI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Acoustic Field Reconstruction in Tubes via Physics-Informed Neural Networks","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.SD","eess.SP","physics.app-ph"],"primary_cat":"eess.AS","authors_text":"Gary Scavone, Kazuya Yokota, Xinmeng Luan","submitted_at":"2025-05-18T22:07:44Z","abstract_excerpt":"This study investigates the application of Physics-Informed Neural Networks (PINNs) to inverse problems in acoustic tube analysis, focusing on reconstructing acoustic fields from noisy and limited observation data. Specifically, we address scenarios where the radiation model is unknown, and pressure data is only available at the tube's radiation end. A PINNs framework is proposed to reconstruct the acoustic field, along with the PINN Fine-Tuning Method (PINN-FTM) and a traditional optimization method (TOM) for predicting radiation model coefficients. The results demonstrate that PINNs can effe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.12557","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/2505.12557/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":"2026-07-05T11:05:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+GcnFwPE/rU187EpEUrjpukowNqPf7EEgTRcSWnAG5cGjk7cZBH0Nkl+6MczV3aMI+L8OaZcbgKZ4BkZd8JCCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T19:40:48.557095Z"},"content_sha256":"f911b243bc2a2d540281e96cae32fb33dc9ed61be925a56f35e2f468f872950c","schema_version":"1.0","event_id":"sha256:f911b243bc2a2d540281e96cae32fb33dc9ed61be925a56f35e2f468f872950c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/J4SPCIPYR72S5Q46MHFV5VMWXI/bundle.json","state_url":"https://pith.science/pith/J4SPCIPYR72S5Q46MHFV5VMWXI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/J4SPCIPYR72S5Q46MHFV5VMWXI/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":"2026-08-08T19:40:48Z","links":{"resolver":"https://pith.science/pith/J4SPCIPYR72S5Q46MHFV5VMWXI","bundle":"https://pith.science/pith/J4SPCIPYR72S5Q46MHFV5VMWXI/bundle.json","state":"https://pith.science/pith/J4SPCIPYR72S5Q46MHFV5VMWXI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/J4SPCIPYR72S5Q46MHFV5VMWXI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J4SPCIPYR72S5Q46MHFV5VMWXI","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":"a8bafb17334f4e585c776f599719b87775b976cfdd66bc257216a0303cffb574","cross_cats_sorted":["cs.SD","eess.SP","physics.app-ph"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-18T22:07:44Z","title_canon_sha256":"a5e9db6324316da67b9d3e72865dbc3ebdbec4f30785d1631d969ba37079d2cc"},"schema_version":"1.0","source":{"id":"2505.12557","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.12557","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"arxiv_version","alias_value":"2505.12557v1","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.12557","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"pith_short_12","alias_value":"J4SPCIPYR72S","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"pith_short_16","alias_value":"J4SPCIPYR72S5Q46","created_at":"2026-07-05T11:05:06Z"},{"alias_kind":"pith_short_8","alias_value":"J4SPCIPY","created_at":"2026-07-05T11:05:06Z"}],"graph_snapshots":[{"event_id":"sha256:f911b243bc2a2d540281e96cae32fb33dc9ed61be925a56f35e2f468f872950c","target":"graph","created_at":"2026-07-05T11:05:06Z","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/2505.12557/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This study investigates the application of Physics-Informed Neural Networks (PINNs) to inverse problems in acoustic tube analysis, focusing on reconstructing acoustic fields from noisy and limited observation data. Specifically, we address scenarios where the radiation model is unknown, and pressure data is only available at the tube's radiation end. A PINNs framework is proposed to reconstruct the acoustic field, along with the PINN Fine-Tuning Method (PINN-FTM) and a traditional optimization method (TOM) for predicting radiation model coefficients. The results demonstrate that PINNs can effe","authors_text":"Gary Scavone, Kazuya Yokota, Xinmeng Luan","cross_cats":["cs.SD","eess.SP","physics.app-ph"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-18T22:07:44Z","title":"Acoustic Field Reconstruction in Tubes via Physics-Informed Neural Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.12557","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:cde8b427405eac60eb92a076eabbe6595587b51ec4e18ac47798aa1812b9bd49","target":"record","created_at":"2026-07-05T11:05:06Z","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":"a8bafb17334f4e585c776f599719b87775b976cfdd66bc257216a0303cffb574","cross_cats_sorted":["cs.SD","eess.SP","physics.app-ph"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"eess.AS","submitted_at":"2025-05-18T22:07:44Z","title_canon_sha256":"a5e9db6324316da67b9d3e72865dbc3ebdbec4f30785d1631d969ba37079d2cc"},"schema_version":"1.0","source":{"id":"2505.12557","kind":"arxiv","version":1}},"canonical_sha256":"4f24f121f88ff52ec39e61cb5ed596ba219751e3c6b9e0bff55d160b557cf66b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f24f121f88ff52ec39e61cb5ed596ba219751e3c6b9e0bff55d160b557cf66b","first_computed_at":"2026-07-05T11:05:06.014171Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:05:06.014171Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xf8FZf8hyTSP54BaB6Dh5e1XJskMs+dDSg/gmwhSSE89a2RO0jvkJ2UrUUK7ZSQdd5aWg/3nakstuDIwhqtECw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:05:06.014624Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.12557","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cde8b427405eac60eb92a076eabbe6595587b51ec4e18ac47798aa1812b9bd49","sha256:f911b243bc2a2d540281e96cae32fb33dc9ed61be925a56f35e2f468f872950c"],"state_sha256":"391c4aad027d254f2bfc9f266f3146726261c7715e1cdcdbe33795eef3133321"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8iaqHxNKLP04K/KV25Iw6AD9eKGGyKj9dBxQyFMU6S25ArJNKInnZ0fEV22r7nc4fmHOfMHGQH1tCFOM2GURBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T19:40:48.562189Z","bundle_sha256":"486e6789774e27ac71a4334dd6e8f5680561ce31bbcf745e132c5a5ef9aea39c"}}