{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:SHKK62Z7N6ZDQ76GJI2LRZ2D2N","short_pith_number":"pith:SHKK62Z7","canonical_record":{"source":{"id":"2507.07713","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.HE","submitted_at":"2025-07-10T12:52:12Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"3a242722eb61e7f6493dd3a3fc7fee150839cddc9a4e9847269a7357e4d93006","abstract_canon_sha256":"639a1c5c5ee84581ae9c1d393e0affa8ff3e0981820b35c329efa7f1086c1aa8"},"schema_version":"1.0"},"canonical_sha256":"91d4af6b3f6fb2387fc64a34b8e743d3537adade15e0b4fe6ddf6917b63d8c9e","source":{"kind":"arxiv","id":"2507.07713","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07713","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07713v1","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07713","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"pith_short_12","alias_value":"SHKK62Z7N6ZD","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"pith_short_16","alias_value":"SHKK62Z7N6ZDQ76G","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"pith_short_8","alias_value":"SHKK62Z7","created_at":"2026-07-05T11:35:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:SHKK62Z7N6ZDQ76GJI2LRZ2D2N","target":"record","payload":{"canonical_record":{"source":{"id":"2507.07713","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.HE","submitted_at":"2025-07-10T12:52:12Z","cross_cats_sorted":["astro-ph.IM"],"title_canon_sha256":"3a242722eb61e7f6493dd3a3fc7fee150839cddc9a4e9847269a7357e4d93006","abstract_canon_sha256":"639a1c5c5ee84581ae9c1d393e0affa8ff3e0981820b35c329efa7f1086c1aa8"},"schema_version":"1.0"},"canonical_sha256":"91d4af6b3f6fb2387fc64a34b8e743d3537adade15e0b4fe6ddf6917b63d8c9e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:35:03.920025Z","signature_b64":"EHdSWWdpnv3IGznreSRyAzs4Not4t/9eO36j0A+LVz/mDIS0q55rEpATZ2pCuP7j4i7Gv6bv3u6vuWzAP1sFCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91d4af6b3f6fb2387fc64a34b8e743d3537adade15e0b4fe6ddf6917b63d8c9e","last_reissued_at":"2026-07-05T11:35:03.919571Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:35:03.919571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.07713","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":"2026-07-05T11:35:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rzyRQJrioliMJP872bGcyF3zpptdAKPgFuyUszajk1BAeKV6ohhPcA0oS2DbHvWE4LWMqN20ZMkOS0t4ls5YCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:23:24.057580Z"},"content_sha256":"cb4ed63f9c06504dfb8e1a27b03a21ea8969d57bf38d54bcfef5e67379f3b148","schema_version":"1.0","event_id":"sha256:cb4ed63f9c06504dfb8e1a27b03a21ea8969d57bf38d54bcfef5e67379f3b148"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:SHKK62Z7N6ZDQ76GJI2LRZ2D2N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Neural Network for Simulating Radio Emission from Extensive Air Showers","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":["astro-ph.IM"],"primary_cat":"astro-ph.HE","authors_text":"Andreas Haungs, Pranav Sampathkumar, Ralph Engel, Tim Huege","submitted_at":"2025-07-10T12:52:12Z","abstract_excerpt":"Cosmic ray shower detection using large radio arrays has gained significant traction in recent years. With massive improvements in signal modelling and microscopic simulations, the analysis of incoming events is still severely limited by the simulation cost of radio emission to interpret the data. In this work, we show that a neural network can be used for simulating such radio pulses. We also demonstrate how such a neural network can be used for $X_\\mathrm{max}$ reconstruction, while retaining comparable resolution to using full Monte-Carlo CORSIKA/CoREAS simulations for radio emission."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07713","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/2507.07713/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":"2026-07-05T11:35:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oep6W0kUO9iFMWeXdY5U5LX4o/jDhKFLQ8YYiSqySMcN6TUnthcn/LnWbSwz9+uk51KosfbeEH0K3hJ5VUYLDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T11:23:24.058080Z"},"content_sha256":"917d207f2c2b73ffcbc67753b308e896f44b2bf1a228e183bda56e4835d87716","schema_version":"1.0","event_id":"sha256:917d207f2c2b73ffcbc67753b308e896f44b2bf1a228e183bda56e4835d87716"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/SHKK62Z7N6ZDQ76GJI2LRZ2D2N/bundle.json","state_url":"https://pith.science/pith/SHKK62Z7N6ZDQ76GJI2LRZ2D2N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/SHKK62Z7N6ZDQ76GJI2LRZ2D2N/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":"2026-08-09T11:23:24Z","links":{"resolver":"https://pith.science/pith/SHKK62Z7N6ZDQ76GJI2LRZ2D2N","bundle":"https://pith.science/pith/SHKK62Z7N6ZDQ76GJI2LRZ2D2N/bundle.json","state":"https://pith.science/pith/SHKK62Z7N6ZDQ76GJI2LRZ2D2N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/SHKK62Z7N6ZDQ76GJI2LRZ2D2N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:SHKK62Z7N6ZDQ76GJI2LRZ2D2N","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":"639a1c5c5ee84581ae9c1d393e0affa8ff3e0981820b35c329efa7f1086c1aa8","cross_cats_sorted":["astro-ph.IM"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.HE","submitted_at":"2025-07-10T12:52:12Z","title_canon_sha256":"3a242722eb61e7f6493dd3a3fc7fee150839cddc9a4e9847269a7357e4d93006"},"schema_version":"1.0","source":{"id":"2507.07713","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.07713","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"arxiv_version","alias_value":"2507.07713v1","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.07713","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"pith_short_12","alias_value":"SHKK62Z7N6ZD","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"pith_short_16","alias_value":"SHKK62Z7N6ZDQ76G","created_at":"2026-07-05T11:35:03Z"},{"alias_kind":"pith_short_8","alias_value":"SHKK62Z7","created_at":"2026-07-05T11:35:03Z"}],"graph_snapshots":[{"event_id":"sha256:917d207f2c2b73ffcbc67753b308e896f44b2bf1a228e183bda56e4835d87716","target":"graph","created_at":"2026-07-05T11:35:03Z","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/2507.07713/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cosmic ray shower detection using large radio arrays has gained significant traction in recent years. With massive improvements in signal modelling and microscopic simulations, the analysis of incoming events is still severely limited by the simulation cost of radio emission to interpret the data. In this work, we show that a neural network can be used for simulating such radio pulses. We also demonstrate how such a neural network can be used for $X_\\mathrm{max}$ reconstruction, while retaining comparable resolution to using full Monte-Carlo CORSIKA/CoREAS simulations for radio emission.","authors_text":"Andreas Haungs, Pranav Sampathkumar, Ralph Engel, Tim Huege","cross_cats":["astro-ph.IM"],"headline":"","license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.HE","submitted_at":"2025-07-10T12:52:12Z","title":"Generative Neural Network for Simulating Radio Emission from Extensive Air Showers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.07713","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:cb4ed63f9c06504dfb8e1a27b03a21ea8969d57bf38d54bcfef5e67379f3b148","target":"record","created_at":"2026-07-05T11:35:03Z","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":"639a1c5c5ee84581ae9c1d393e0affa8ff3e0981820b35c329efa7f1086c1aa8","cross_cats_sorted":["astro-ph.IM"],"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"astro-ph.HE","submitted_at":"2025-07-10T12:52:12Z","title_canon_sha256":"3a242722eb61e7f6493dd3a3fc7fee150839cddc9a4e9847269a7357e4d93006"},"schema_version":"1.0","source":{"id":"2507.07713","kind":"arxiv","version":1}},"canonical_sha256":"91d4af6b3f6fb2387fc64a34b8e743d3537adade15e0b4fe6ddf6917b63d8c9e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"91d4af6b3f6fb2387fc64a34b8e743d3537adade15e0b4fe6ddf6917b63d8c9e","first_computed_at":"2026-07-05T11:35:03.919571Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:35:03.919571Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EHdSWWdpnv3IGznreSRyAzs4Not4t/9eO36j0A+LVz/mDIS0q55rEpATZ2pCuP7j4i7Gv6bv3u6vuWzAP1sFCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:35:03.920025Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.07713","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cb4ed63f9c06504dfb8e1a27b03a21ea8969d57bf38d54bcfef5e67379f3b148","sha256:917d207f2c2b73ffcbc67753b308e896f44b2bf1a228e183bda56e4835d87716"],"state_sha256":"f35587cf5ea60b467218cc56a6c58bb09669ae59e30dc84e2d287a363535cd86"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WzBdVG8kI0Zar58tosEMpyX/waY5Tlv/qTXY7Jjy1ziIGI4hnBIHOMqJtYwIMpQBW4ze1g7vj4wDz64Q/62XDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T11:23:24.062925Z","bundle_sha256":"5b6053209cc318ea286a315bf7c18fe91a9346df142e4db0c01036f78f1faa80"}}