{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:RT2P3PY5GLHOYC65Q3LO2XBBX5","short_pith_number":"pith:RT2P3PY5","canonical_record":{"source":{"id":"2505.15802","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T17:56:02Z","cross_cats_sorted":["eess.SP","physics.ao-ph"],"title_canon_sha256":"f3251c7af4eb0e05b0dac55170f508d477b043156afe5be8fc4d20554e549115","abstract_canon_sha256":"147de20b8cccd760ee26b7ca1bf7fa2cc5ab8a3ba4b6a97387504d70897a863e"},"schema_version":"1.0"},"canonical_sha256":"8cf4fdbf1d32ceec0bdd86d6ed5c21bf7491500e9960cfc9fffc8bdf98216944","source":{"kind":"arxiv","id":"2505.15802","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15802","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15802v2","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15802","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"pith_short_12","alias_value":"RT2P3PY5GLHO","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"pith_short_16","alias_value":"RT2P3PY5GLHOYC65","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"pith_short_8","alias_value":"RT2P3PY5","created_at":"2026-07-05T12:05:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:RT2P3PY5GLHOYC65Q3LO2XBBX5","target":"record","payload":{"canonical_record":{"source":{"id":"2505.15802","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T17:56:02Z","cross_cats_sorted":["eess.SP","physics.ao-ph"],"title_canon_sha256":"f3251c7af4eb0e05b0dac55170f508d477b043156afe5be8fc4d20554e549115","abstract_canon_sha256":"147de20b8cccd760ee26b7ca1bf7fa2cc5ab8a3ba4b6a97387504d70897a863e"},"schema_version":"1.0"},"canonical_sha256":"8cf4fdbf1d32ceec0bdd86d6ed5c21bf7491500e9960cfc9fffc8bdf98216944","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:05:16.978047Z","signature_b64":"Ky0MBmzBCLsDnkIYAkWmpBL1DuOTzzIfxg23s2HJ9qf+WyA1f4esDA6Yf3BGOAvroQpHksR5UI+mIcGiUL21BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8cf4fdbf1d32ceec0bdd86d6ed5c21bf7491500e9960cfc9fffc8bdf98216944","last_reissued_at":"2026-07-05T12:05:16.977554Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:05:16.977554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.15802","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:05:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+NmQl+MUQmjXj2hM+J94xwKYgCBnw/VEqy3kAyNjQlrRHkU03FvHkrRAUDIKPUeflWnnJMQIGlxPng4smkA5BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:33:23.743702Z"},"content_sha256":"ec5227b26363f47c2fc629c524d911c69af98f863a5df247ec9deaadb1476858","schema_version":"1.0","event_id":"sha256:ec5227b26363f47c2fc629c524d911c69af98f863a5df247ec9deaadb1476858"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:RT2P3PY5GLHOYC65Q3LO2XBBX5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP","physics.ao-ph"],"primary_cat":"cs.LG","authors_text":"Andrew J. Kammerer, Jacob Gull, Jonathan Gehman, Leslie N. Smith, Sarah E. Wessinger, Zachary Beever","submitted_at":"2025-05-21T17:56:02Z","abstract_excerpt":"Accurately estimating the refractive environment over multiple frequencies within the marine atmospheric boundary layer is crucial for the effective deployment of radar technologies. Traditional parabolic equation simulations, while effective, can be computationally expensive and time-intensive, limiting their practical application. This communication explores a novel approach using deep neural networks to estimate the pattern propagation factor, a critical parameter for characterizing environmental impacts on signal propagation. Image-to-image translation generators designed to ingest modifie"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15802","kind":"arxiv","version":2},"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/2505.15802/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":"2026-07-05T12:05:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KLWr6hnuY3RiR8NKr1n2P26a6QwxGVkJPLqnZHFNx26IwjuOk8dWBg2Hi3iU5O3E6W6rjMIyHKYpgY1uaLzxCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T17:33:23.744354Z"},"content_sha256":"d70cb707fa697688d42d1c57456f889eb4d1c51f54820328e3c83a6ac2ee3309","schema_version":"1.0","event_id":"sha256:d70cb707fa697688d42d1c57456f889eb4d1c51f54820328e3c83a6ac2ee3309"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RT2P3PY5GLHOYC65Q3LO2XBBX5/bundle.json","state_url":"https://pith.science/pith/RT2P3PY5GLHOYC65Q3LO2XBBX5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RT2P3PY5GLHOYC65Q3LO2XBBX5/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":"2026-08-08T17:33:23Z","links":{"resolver":"https://pith.science/pith/RT2P3PY5GLHOYC65Q3LO2XBBX5","bundle":"https://pith.science/pith/RT2P3PY5GLHOYC65Q3LO2XBBX5/bundle.json","state":"https://pith.science/pith/RT2P3PY5GLHOYC65Q3LO2XBBX5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RT2P3PY5GLHOYC65Q3LO2XBBX5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:RT2P3PY5GLHOYC65Q3LO2XBBX5","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":"147de20b8cccd760ee26b7ca1bf7fa2cc5ab8a3ba4b6a97387504d70897a863e","cross_cats_sorted":["eess.SP","physics.ao-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T17:56:02Z","title_canon_sha256":"f3251c7af4eb0e05b0dac55170f508d477b043156afe5be8fc4d20554e549115"},"schema_version":"1.0","source":{"id":"2505.15802","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.15802","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"arxiv_version","alias_value":"2505.15802v2","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.15802","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"pith_short_12","alias_value":"RT2P3PY5GLHO","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"pith_short_16","alias_value":"RT2P3PY5GLHOYC65","created_at":"2026-07-05T12:05:16Z"},{"alias_kind":"pith_short_8","alias_value":"RT2P3PY5","created_at":"2026-07-05T12:05:16Z"}],"graph_snapshots":[{"event_id":"sha256:d70cb707fa697688d42d1c57456f889eb4d1c51f54820328e3c83a6ac2ee3309","target":"graph","created_at":"2026-07-05T12:05:16Z","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/2505.15802/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurately estimating the refractive environment over multiple frequencies within the marine atmospheric boundary layer is crucial for the effective deployment of radar technologies. Traditional parabolic equation simulations, while effective, can be computationally expensive and time-intensive, limiting their practical application. This communication explores a novel approach using deep neural networks to estimate the pattern propagation factor, a critical parameter for characterizing environmental impacts on signal propagation. Image-to-image translation generators designed to ingest modifie","authors_text":"Andrew J. Kammerer, Jacob Gull, Jonathan Gehman, Leslie N. Smith, Sarah E. Wessinger, Zachary Beever","cross_cats":["eess.SP","physics.ao-ph"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T17:56:02Z","title":"A Deep Learning Framework for Two-Dimensional, Multi-Frequency Propagation Factor Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.15802","kind":"arxiv","version":2},"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:ec5227b26363f47c2fc629c524d911c69af98f863a5df247ec9deaadb1476858","target":"record","created_at":"2026-07-05T12:05:16Z","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":"147de20b8cccd760ee26b7ca1bf7fa2cc5ab8a3ba4b6a97387504d70897a863e","cross_cats_sorted":["eess.SP","physics.ao-ph"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2025-05-21T17:56:02Z","title_canon_sha256":"f3251c7af4eb0e05b0dac55170f508d477b043156afe5be8fc4d20554e549115"},"schema_version":"1.0","source":{"id":"2505.15802","kind":"arxiv","version":2}},"canonical_sha256":"8cf4fdbf1d32ceec0bdd86d6ed5c21bf7491500e9960cfc9fffc8bdf98216944","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8cf4fdbf1d32ceec0bdd86d6ed5c21bf7491500e9960cfc9fffc8bdf98216944","first_computed_at":"2026-07-05T12:05:16.977554Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:05:16.977554Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ky0MBmzBCLsDnkIYAkWmpBL1DuOTzzIfxg23s2HJ9qf+WyA1f4esDA6Yf3BGOAvroQpHksR5UI+mIcGiUL21BA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:05:16.978047Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.15802","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ec5227b26363f47c2fc629c524d911c69af98f863a5df247ec9deaadb1476858","sha256:d70cb707fa697688d42d1c57456f889eb4d1c51f54820328e3c83a6ac2ee3309"],"state_sha256":"280693106dd2c27bb53b481b5f67874fe57c9bcadbeded914814d8124ca06d3d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Jqg06ndT3i2SSSe1fnHDvGAuP97LMt7BXoSpBrELLVtajxs2ggGvs4JpC/BBkm1iTEqXRTuytRoBoORV0FCFBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T17:33:23.755680Z","bundle_sha256":"dad176b85e53f957feef2397308126ecefa05c6adf854d33eb70a0c372a96950"}}