{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:VTSAMYTCGIMZ2GUHLG5IUDEYIV","short_pith_number":"pith:VTSAMYTC","canonical_record":{"source":{"id":"1808.01859","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2018-06-08T22:21:24Z","cross_cats_sorted":[],"title_canon_sha256":"74bedb6308fd2f252cceec6b6c1ba639fdd36bbad2af26a8987b98a31b93c4fa","abstract_canon_sha256":"9a07b61a1c1b9333c410ec3d6a476b2f6f876c986e8c6aca47df215d691c9c3f"},"schema_version":"1.0"},"canonical_sha256":"ace406626232199d1a8759ba8a0c98455431dc91924cb2e40cf9ccc4e5fee86e","source":{"kind":"arxiv","id":"1808.01859","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.01859","created_at":"2026-05-18T00:04:55Z"},{"alias_kind":"arxiv_version","alias_value":"1808.01859v1","created_at":"2026-05-18T00:04:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.01859","created_at":"2026-05-18T00:04:55Z"},{"alias_kind":"pith_short_12","alias_value":"VTSAMYTCGIMZ","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VTSAMYTCGIMZ2GUH","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VTSAMYTC","created_at":"2026-05-18T12:32:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:VTSAMYTCGIMZ2GUHLG5IUDEYIV","target":"record","payload":{"canonical_record":{"source":{"id":"1808.01859","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2018-06-08T22:21:24Z","cross_cats_sorted":[],"title_canon_sha256":"74bedb6308fd2f252cceec6b6c1ba639fdd36bbad2af26a8987b98a31b93c4fa","abstract_canon_sha256":"9a07b61a1c1b9333c410ec3d6a476b2f6f876c986e8c6aca47df215d691c9c3f"},"schema_version":"1.0"},"canonical_sha256":"ace406626232199d1a8759ba8a0c98455431dc91924cb2e40cf9ccc4e5fee86e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:04:55.148723Z","signature_b64":"GwTJok7MU6fg8FR4/I8wXhSuFulZINOT3twvZGqSVhJOLX3aJnm8JzbFjuNam9I6ZccNglraUFCiSjGDS2tMAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ace406626232199d1a8759ba8a0c98455431dc91924cb2e40cf9ccc4e5fee86e","last_reissued_at":"2026-05-18T00:04:55.148070Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:04:55.148070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1808.01859","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":"2026-05-18T00:04:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EGJFDWRRuTSPI2nFKo80MYF3QpS8JeNEqPfrwLRjUqlzPRy7J8r9ch7Tm4CUxiAk4ow32/fp8jAjcZ+V+nuPAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:29:56.290290Z"},"content_sha256":"9284e2fb903e9a80187c18fe63a004f57c206482034c12df7d3debecfd7290cd","schema_version":"1.0","event_id":"sha256:9284e2fb903e9a80187c18fe63a004f57c206482034c12df7d3debecfd7290cd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:VTSAMYTCGIMZ2GUHLG5IUDEYIV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CE","authors_text":"Bojan Niceno, Nam Dinh, Yang Liu, Yohei Sato","submitted_at":"2018-06-08T22:21:24Z","abstract_excerpt":"Boiling heat transfer occurs in many situations and can be used for thermal management in various engineered systems with high energy density, from power electronics to heat exchangers in power plants and nuclear reactors. Essentially, boiling is a complex physical process that involves interactions between heating surface, liquid, and vapor. For engineering applications, the boiling heat transfer is usually predicted by empirical correlations or semi-empirical models, which has relatively large uncertainty. In this paper, a data-driven approach based on deep feedforward neural networks is stu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.01859","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":""},"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":"2026-05-18T00:04:55Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l9wg3Wz7TC6Htyw7nd93UpHiaH4bu4CnV2NZu8TQZHe/lMLtYxpAmyGkXbGEKAjUQ5XnRMO73l87HwDKqWtZAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-04T06:29:56.290822Z"},"content_sha256":"9cd20f5532e055dbff683540bb8d66091183db02caffc620afb9a76711574b49","schema_version":"1.0","event_id":"sha256:9cd20f5532e055dbff683540bb8d66091183db02caffc620afb9a76711574b49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VTSAMYTCGIMZ2GUHLG5IUDEYIV/bundle.json","state_url":"https://pith.science/pith/VTSAMYTCGIMZ2GUHLG5IUDEYIV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VTSAMYTCGIMZ2GUHLG5IUDEYIV/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":"2026-06-04T06:29:56Z","links":{"resolver":"https://pith.science/pith/VTSAMYTCGIMZ2GUHLG5IUDEYIV","bundle":"https://pith.science/pith/VTSAMYTCGIMZ2GUHLG5IUDEYIV/bundle.json","state":"https://pith.science/pith/VTSAMYTCGIMZ2GUHLG5IUDEYIV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VTSAMYTCGIMZ2GUHLG5IUDEYIV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:VTSAMYTCGIMZ2GUHLG5IUDEYIV","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":"9a07b61a1c1b9333c410ec3d6a476b2f6f876c986e8c6aca47df215d691c9c3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2018-06-08T22:21:24Z","title_canon_sha256":"74bedb6308fd2f252cceec6b6c1ba639fdd36bbad2af26a8987b98a31b93c4fa"},"schema_version":"1.0","source":{"id":"1808.01859","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1808.01859","created_at":"2026-05-18T00:04:55Z"},{"alias_kind":"arxiv_version","alias_value":"1808.01859v1","created_at":"2026-05-18T00:04:55Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1808.01859","created_at":"2026-05-18T00:04:55Z"},{"alias_kind":"pith_short_12","alias_value":"VTSAMYTCGIMZ","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_16","alias_value":"VTSAMYTCGIMZ2GUH","created_at":"2026-05-18T12:32:59Z"},{"alias_kind":"pith_short_8","alias_value":"VTSAMYTC","created_at":"2026-05-18T12:32:59Z"}],"graph_snapshots":[{"event_id":"sha256:9cd20f5532e055dbff683540bb8d66091183db02caffc620afb9a76711574b49","target":"graph","created_at":"2026-05-18T00:04:55Z","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"},"paper":{"abstract_excerpt":"Boiling heat transfer occurs in many situations and can be used for thermal management in various engineered systems with high energy density, from power electronics to heat exchangers in power plants and nuclear reactors. Essentially, boiling is a complex physical process that involves interactions between heating surface, liquid, and vapor. For engineering applications, the boiling heat transfer is usually predicted by empirical correlations or semi-empirical models, which has relatively large uncertainty. In this paper, a data-driven approach based on deep feedforward neural networks is stu","authors_text":"Bojan Niceno, Nam Dinh, Yang Liu, Yohei Sato","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2018-06-08T22:21:24Z","title":"Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1808.01859","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":"sha256:9284e2fb903e9a80187c18fe63a004f57c206482034c12df7d3debecfd7290cd","target":"record","created_at":"2026-05-18T00:04:55Z","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":"9a07b61a1c1b9333c410ec3d6a476b2f6f876c986e8c6aca47df215d691c9c3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CE","submitted_at":"2018-06-08T22:21:24Z","title_canon_sha256":"74bedb6308fd2f252cceec6b6c1ba639fdd36bbad2af26a8987b98a31b93c4fa"},"schema_version":"1.0","source":{"id":"1808.01859","kind":"arxiv","version":1}},"canonical_sha256":"ace406626232199d1a8759ba8a0c98455431dc91924cb2e40cf9ccc4e5fee86e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ace406626232199d1a8759ba8a0c98455431dc91924cb2e40cf9ccc4e5fee86e","first_computed_at":"2026-05-18T00:04:55.148070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:04:55.148070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GwTJok7MU6fg8FR4/I8wXhSuFulZINOT3twvZGqSVhJOLX3aJnm8JzbFjuNam9I6ZccNglraUFCiSjGDS2tMAA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:04:55.148723Z","signed_message":"canonical_sha256_bytes"},"source_id":"1808.01859","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9284e2fb903e9a80187c18fe63a004f57c206482034c12df7d3debecfd7290cd","sha256:9cd20f5532e055dbff683540bb8d66091183db02caffc620afb9a76711574b49"],"state_sha256":"c59c398f3bb843d259d61bceb4265594f875ce17cba477eeee5c95ab0fca6a1b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s6pqiDGxT7OHfvwB7vZSsewQzOP7vAKWDQE6PlO3cJ6ZEv7MKXlPC444BZ7FXiBAdS5h8GCMV4oc40uHJipQBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-04T06:29:56.293780Z","bundle_sha256":"4421459b1a9009471519801c63c76f24878ca61a1e9300861cc461599031190e"}}