{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MUZDAPYL4MBNQD2KH7AJ7XCFLH","short_pith_number":"pith:MUZDAPYL","canonical_record":{"source":{"id":"2408.08474","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2024-08-16T01:20:27Z","cross_cats_sorted":["astro-ph.IM","cs.LG"],"title_canon_sha256":"33d0736da4a0d8f7efadb9069f0846863ddb21e4f0b652c1ec83c2aa8aa4a77e","abstract_canon_sha256":"2f875eb58b4a336f343e8259a9b7cd0b718c636529c3ca12d082f31a1e67f4af"},"schema_version":"1.0"},"canonical_sha256":"6532303f0be302d80f4a3fc09fdc4559caebd4994fac0238d61dfe7d5383e445","source":{"kind":"arxiv","id":"2408.08474","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08474","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08474v2","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08474","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"MUZDAPYL4MBN","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"pith_short_16","alias_value":"MUZDAPYL4MBNQD2K","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"pith_short_8","alias_value":"MUZDAPYL","created_at":"2026-07-05T10:02:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MUZDAPYL4MBNQD2KH7AJ7XCFLH","target":"record","payload":{"canonical_record":{"source":{"id":"2408.08474","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2024-08-16T01:20:27Z","cross_cats_sorted":["astro-ph.IM","cs.LG"],"title_canon_sha256":"33d0736da4a0d8f7efadb9069f0846863ddb21e4f0b652c1ec83c2aa8aa4a77e","abstract_canon_sha256":"2f875eb58b4a336f343e8259a9b7cd0b718c636529c3ca12d082f31a1e67f4af"},"schema_version":"1.0"},"canonical_sha256":"6532303f0be302d80f4a3fc09fdc4559caebd4994fac0238d61dfe7d5383e445","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:02:24.084952Z","signature_b64":"V2tnYfoSwLnyf7SCBUZwRFBv6xN00Kbj4Q7jUzuHI5gtwtrCJh+gP1+uMChv12MkVnQi1Dax0xhYaCslf4vUAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6532303f0be302d80f4a3fc09fdc4559caebd4994fac0238d61dfe7d5383e445","last_reissued_at":"2026-07-05T10:02:24.084566Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:02:24.084566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.08474","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":"2026-07-05T10:02:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BoBVyXr7R04LC7iTztAkw5v90osCurTMXbqS1uApCCHcquxT1VBVifLpxThPWp5UZZZVavWyqc3Z3hoSRWuiCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:46:05.556112Z"},"content_sha256":"081de46a947e4e4b3fc16e85877c7ce23afb17bf6225baa23e172296154c7ac8","schema_version":"1.0","event_id":"sha256:081de46a947e4e4b3fc16e85877c7ce23afb17bf6225baa23e172296154c7ac8"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MUZDAPYL4MBNQD2KH7AJ7XCFLH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["astro-ph.IM","cs.LG"],"primary_cat":"hep-ex","authors_text":"Carlos A. Arg\\\"uelles, Felix J. Yu, Nicholas Kamp","submitted_at":"2024-08-16T01:20:27Z","abstract_excerpt":"Recent discoveries by neutrino telescopes, such as the IceCube Neutrino Observatory, relied extensively on machine learning (ML) tools to infer physical quantities from the raw photon hits detected. Neutrino telescope reconstruction algorithms are limited by the sparse sampling of photons by the optical modules due to the relatively large spacing ($10-100\\,{\\rm m})$ between them. In this letter, we propose a novel technique that learns photon transport through the detector medium through the use of deep learning-driven super-resolution of data events. These ``improved'' events can then be reco"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08474","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/2408.08474/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":"2026-07-05T10:02:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DRjnIcEecIQC62c+IS9NJmO2yfqfvI7RbnXqor3l0cvqtqrSNbIqan/dYLFkWgV2u8u1n5Og7McVxEpvHByXAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T09:46:05.556635Z"},"content_sha256":"82771db4235de82331670529bdafaa507dac59ddd3e05e754db8c9afe49e3894","schema_version":"1.0","event_id":"sha256:82771db4235de82331670529bdafaa507dac59ddd3e05e754db8c9afe49e3894"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MUZDAPYL4MBNQD2KH7AJ7XCFLH/bundle.json","state_url":"https://pith.science/pith/MUZDAPYL4MBNQD2KH7AJ7XCFLH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MUZDAPYL4MBNQD2KH7AJ7XCFLH/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":"2026-08-07T09:46:05Z","links":{"resolver":"https://pith.science/pith/MUZDAPYL4MBNQD2KH7AJ7XCFLH","bundle":"https://pith.science/pith/MUZDAPYL4MBNQD2KH7AJ7XCFLH/bundle.json","state":"https://pith.science/pith/MUZDAPYL4MBNQD2KH7AJ7XCFLH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MUZDAPYL4MBNQD2KH7AJ7XCFLH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MUZDAPYL4MBNQD2KH7AJ7XCFLH","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":"2f875eb58b4a336f343e8259a9b7cd0b718c636529c3ca12d082f31a1e67f4af","cross_cats_sorted":["astro-ph.IM","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2024-08-16T01:20:27Z","title_canon_sha256":"33d0736da4a0d8f7efadb9069f0846863ddb21e4f0b652c1ec83c2aa8aa4a77e"},"schema_version":"1.0","source":{"id":"2408.08474","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08474","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08474v2","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08474","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"MUZDAPYL4MBN","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"pith_short_16","alias_value":"MUZDAPYL4MBNQD2K","created_at":"2026-07-05T10:02:24Z"},{"alias_kind":"pith_short_8","alias_value":"MUZDAPYL","created_at":"2026-07-05T10:02:24Z"}],"graph_snapshots":[{"event_id":"sha256:82771db4235de82331670529bdafaa507dac59ddd3e05e754db8c9afe49e3894","target":"graph","created_at":"2026-07-05T10:02:24Z","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/2408.08474/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent discoveries by neutrino telescopes, such as the IceCube Neutrino Observatory, relied extensively on machine learning (ML) tools to infer physical quantities from the raw photon hits detected. Neutrino telescope reconstruction algorithms are limited by the sparse sampling of photons by the optical modules due to the relatively large spacing ($10-100\\,{\\rm m})$ between them. In this letter, we propose a novel technique that learns photon transport through the detector medium through the use of deep learning-driven super-resolution of data events. These ``improved'' events can then be reco","authors_text":"Carlos A. Arg\\\"uelles, Felix J. Yu, Nicholas Kamp","cross_cats":["astro-ph.IM","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2024-08-16T01:20:27Z","title":"Enhancing Events in Neutrino Telescopes through Deep Learning-Driven Super-Resolution"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08474","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":"sha256:081de46a947e4e4b3fc16e85877c7ce23afb17bf6225baa23e172296154c7ac8","target":"record","created_at":"2026-07-05T10:02:24Z","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":"2f875eb58b4a336f343e8259a9b7cd0b718c636529c3ca12d082f31a1e67f4af","cross_cats_sorted":["astro-ph.IM","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"hep-ex","submitted_at":"2024-08-16T01:20:27Z","title_canon_sha256":"33d0736da4a0d8f7efadb9069f0846863ddb21e4f0b652c1ec83c2aa8aa4a77e"},"schema_version":"1.0","source":{"id":"2408.08474","kind":"arxiv","version":2}},"canonical_sha256":"6532303f0be302d80f4a3fc09fdc4559caebd4994fac0238d61dfe7d5383e445","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6532303f0be302d80f4a3fc09fdc4559caebd4994fac0238d61dfe7d5383e445","first_computed_at":"2026-07-05T10:02:24.084566Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:02:24.084566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V2tnYfoSwLnyf7SCBUZwRFBv6xN00Kbj4Q7jUzuHI5gtwtrCJh+gP1+uMChv12MkVnQi1Dax0xhYaCslf4vUAA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:02:24.084952Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08474","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:081de46a947e4e4b3fc16e85877c7ce23afb17bf6225baa23e172296154c7ac8","sha256:82771db4235de82331670529bdafaa507dac59ddd3e05e754db8c9afe49e3894"],"state_sha256":"821c101de57d2ad1554ee73eb7368ac67e5902e6ba52729f84af54f90a3b061d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6avR3VEERcTCzTu2DfT/FXUSFLWYbd+mhuCb7hiXUxJKSW0zecHluWHFp93lFMbYulc04f2qVrb7gMDJsf5zBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T09:46:05.562020Z","bundle_sha256":"fc71ef3beb02c1f98bfaf55b38132023fb8a1b8eef17ed22168b1e6c80bf29fc"}}