{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:MJEO2QFILDPVQ3KM3FED5QBPY4","short_pith_number":"pith:MJEO2QFI","canonical_record":{"source":{"id":"2404.18897","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-04-29T17:34:24Z","cross_cats_sorted":[],"title_canon_sha256":"3c445897da0ca0ee6ee8e8b25c81d4131dd0620eca049959d52f4cfb71f75c42","abstract_canon_sha256":"de14565a57abc8a25036ba0c95ebc012c0ac917749832d507b497fb2658e40fb"},"schema_version":"1.0"},"canonical_sha256":"6248ed40a858df586d4cd9483ec02fc7151f71e9e2bb0166c70961b21816d696","source":{"kind":"arxiv","id":"2404.18897","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18897","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18897v3","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18897","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"MJEO2QFILDPV","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"pith_short_16","alias_value":"MJEO2QFILDPVQ3KM","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"pith_short_8","alias_value":"MJEO2QFI","created_at":"2026-07-05T11:16:48Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:MJEO2QFILDPVQ3KM3FED5QBPY4","target":"record","payload":{"canonical_record":{"source":{"id":"2404.18897","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-04-29T17:34:24Z","cross_cats_sorted":[],"title_canon_sha256":"3c445897da0ca0ee6ee8e8b25c81d4131dd0620eca049959d52f4cfb71f75c42","abstract_canon_sha256":"de14565a57abc8a25036ba0c95ebc012c0ac917749832d507b497fb2658e40fb"},"schema_version":"1.0"},"canonical_sha256":"6248ed40a858df586d4cd9483ec02fc7151f71e9e2bb0166c70961b21816d696","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:48.978555Z","signature_b64":"Sp8wKwNlXA3/Y3DJq/aM/3zqSv6NCCXDVjCETU9D169c5e8hrbuDtxXDhE4aEPZXdAH5qrTnRWszTHJoqR+7Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6248ed40a858df586d4cd9483ec02fc7151f71e9e2bb0166c70961b21816d696","last_reissued_at":"2026-07-05T11:16:48.978070Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:48.978070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.18897","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:16:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"03k+q7W5CupG8BPQd/xNBX7UeltGTF1JrNx67wZsNCKz296me45UOeD7ELaMRFPbHlWlghdj6JYzRTT7mEBMDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:10:44.805890Z"},"content_sha256":"90ef95bf23304036527ad3399a7f2c0e16a52cd7860dcce808a8e2034471158c","schema_version":"1.0","event_id":"sha256:90ef95bf23304036527ad3399a7f2c0e16a52cd7860dcce808a8e2034471158c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:MJEO2QFILDPVQ3KM3FED5QBPY4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.CO","authors_text":"Akisato Kimura, Alessandro Sonnenfeld, Anupreeta More, Masamune Oguri, Naoki Yoshida, Priyanka Gawade, Surhud More","submitted_at":"2024-04-29T17:34:24Z","abstract_excerpt":"Strong lensing of background galaxies provides important information about the matter distribution around lens galaxies. Traditional modelling of such strong lenses is both time and resource intensive. Fast and automated analysis methods are the need of the hour given large upcoming surveys. In this work, we build and train a simple convolutional neural network with an aim of rapidly predicting model parameters of gravitational lenses. We focus on the inference of the Einstein radius, and ellipticity components of the mass distribution. We train our network on a variety of simulated data with "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18897","kind":"arxiv","version":3},"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/2404.18897/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":"2026-07-05T11:16:48Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yBR9647Lap6M1fGsCtaZibWD2SPe3mm/y1bE1I9I8lA0Oc4OiWgs2PwcFrHT3ddV+ctf/6C9DTCEY+Ip3joXAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T17:10:44.806924Z"},"content_sha256":"d7a180a6143a6246a8ed8f304df77ff6fcc7f537a27cda3e42dcbf4400587935","schema_version":"1.0","event_id":"sha256:d7a180a6143a6246a8ed8f304df77ff6fcc7f537a27cda3e42dcbf4400587935"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MJEO2QFILDPVQ3KM3FED5QBPY4/bundle.json","state_url":"https://pith.science/pith/MJEO2QFILDPVQ3KM3FED5QBPY4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MJEO2QFILDPVQ3KM3FED5QBPY4/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":"2026-08-10T17:10:44Z","links":{"resolver":"https://pith.science/pith/MJEO2QFILDPVQ3KM3FED5QBPY4","bundle":"https://pith.science/pith/MJEO2QFILDPVQ3KM3FED5QBPY4/bundle.json","state":"https://pith.science/pith/MJEO2QFILDPVQ3KM3FED5QBPY4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MJEO2QFILDPVQ3KM3FED5QBPY4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:MJEO2QFILDPVQ3KM3FED5QBPY4","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":"de14565a57abc8a25036ba0c95ebc012c0ac917749832d507b497fb2658e40fb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-04-29T17:34:24Z","title_canon_sha256":"3c445897da0ca0ee6ee8e8b25c81d4131dd0620eca049959d52f4cfb71f75c42"},"schema_version":"1.0","source":{"id":"2404.18897","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.18897","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"arxiv_version","alias_value":"2404.18897v3","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.18897","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"pith_short_12","alias_value":"MJEO2QFILDPV","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"pith_short_16","alias_value":"MJEO2QFILDPVQ3KM","created_at":"2026-07-05T11:16:48Z"},{"alias_kind":"pith_short_8","alias_value":"MJEO2QFI","created_at":"2026-07-05T11:16:48Z"}],"graph_snapshots":[{"event_id":"sha256:d7a180a6143a6246a8ed8f304df77ff6fcc7f537a27cda3e42dcbf4400587935","target":"graph","created_at":"2026-07-05T11:16:48Z","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/2404.18897/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Strong lensing of background galaxies provides important information about the matter distribution around lens galaxies. Traditional modelling of such strong lenses is both time and resource intensive. Fast and automated analysis methods are the need of the hour given large upcoming surveys. In this work, we build and train a simple convolutional neural network with an aim of rapidly predicting model parameters of gravitational lenses. We focus on the inference of the Einstein radius, and ellipticity components of the mass distribution. We train our network on a variety of simulated data with ","authors_text":"Akisato Kimura, Alessandro Sonnenfeld, Anupreeta More, Masamune Oguri, Naoki Yoshida, Priyanka Gawade, Surhud More","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-04-29T17:34:24Z","title":"Neural network prediction of model parameters for strong lensing samples from Hyper Suprime-Cam Survey"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.18897","kind":"arxiv","version":3},"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":"sha256:90ef95bf23304036527ad3399a7f2c0e16a52cd7860dcce808a8e2034471158c","target":"record","created_at":"2026-07-05T11:16:48Z","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":"de14565a57abc8a25036ba0c95ebc012c0ac917749832d507b497fb2658e40fb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"astro-ph.CO","submitted_at":"2024-04-29T17:34:24Z","title_canon_sha256":"3c445897da0ca0ee6ee8e8b25c81d4131dd0620eca049959d52f4cfb71f75c42"},"schema_version":"1.0","source":{"id":"2404.18897","kind":"arxiv","version":3}},"canonical_sha256":"6248ed40a858df586d4cd9483ec02fc7151f71e9e2bb0166c70961b21816d696","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6248ed40a858df586d4cd9483ec02fc7151f71e9e2bb0166c70961b21816d696","first_computed_at":"2026-07-05T11:16:48.978070Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:48.978070Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Sp8wKwNlXA3/Y3DJq/aM/3zqSv6NCCXDVjCETU9D169c5e8hrbuDtxXDhE4aEPZXdAH5qrTnRWszTHJoqR+7Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:48.978555Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.18897","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:90ef95bf23304036527ad3399a7f2c0e16a52cd7860dcce808a8e2034471158c","sha256:d7a180a6143a6246a8ed8f304df77ff6fcc7f537a27cda3e42dcbf4400587935"],"state_sha256":"11ad6db5fc3b783dd2589b30395c33108842f424e9290456d3f02c5fb7e83d95"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/HJvyVWKGWRzLe++KIDILeFAaqwW3SpNgd96U5CHvaYnI8v0jMFMSwWD9spbN5nzrOayL73jAgEKDkT+zM00AQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T17:10:44.814988Z","bundle_sha256":"7909fde0cbce89b8edc790ad1cb9c8a4300ba14d45cd4666fc99f046a592dc25"}}