{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DYGPCMNIDWAN5UUPDHAXMY5VBN","short_pith_number":"pith:DYGPCMNI","canonical_record":{"source":{"id":"2607.01338","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.GA","submitted_at":"2026-07-01T18:00:16Z","cross_cats_sorted":[],"title_canon_sha256":"d36038583e7db3060938d5c37c9fc1fa50e1b551774b35e18e7de42c773fd136","abstract_canon_sha256":"eaa9158ab05722b5d5eac3d53d4767a0427c7ae09ad508f3584ccabb2c71e25e"},"schema_version":"1.0"},"canonical_sha256":"1e0cf131a81d80ded28f19c17663b50b406c33fe4277f6bf099a278c5b441313","source":{"kind":"arxiv","id":"2607.01338","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01338","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01338v1","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01338","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"pith_short_12","alias_value":"DYGPCMNIDWAN","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"pith_short_16","alias_value":"DYGPCMNIDWAN5UUP","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"pith_short_8","alias_value":"DYGPCMNI","created_at":"2026-07-03T00:16:57Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DYGPCMNIDWAN5UUPDHAXMY5VBN","target":"record","payload":{"canonical_record":{"source":{"id":"2607.01338","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.GA","submitted_at":"2026-07-01T18:00:16Z","cross_cats_sorted":[],"title_canon_sha256":"d36038583e7db3060938d5c37c9fc1fa50e1b551774b35e18e7de42c773fd136","abstract_canon_sha256":"eaa9158ab05722b5d5eac3d53d4767a0427c7ae09ad508f3584ccabb2c71e25e"},"schema_version":"1.0"},"canonical_sha256":"1e0cf131a81d80ded28f19c17663b50b406c33fe4277f6bf099a278c5b441313","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-03T00:16:57.854189Z","signature_b64":"716pqYg0ooZKL2V7iEkdAAo4bp6iqA0T5rXHiAj6cj5CAEFkfwgb8MTdYkPLKmLR6LVjd6W7Gv59W8Gu6yVFAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e0cf131a81d80ded28f19c17663b50b406c33fe4277f6bf099a278c5b441313","last_reissued_at":"2026-07-03T00:16:57.853821Z","signature_status":"signed_v1","first_computed_at":"2026-07-03T00:16:57.853821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.01338","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":"2026-07-03T00:16:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EeZ3oK8FZ2aUaw/K7iAna0EqoGMEZF8axHsQ9xbVNS/HSlqcFFUGCpl3Lk088iyAPG4CuKJN8/gGiov3U1YeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T22:06:36.790776Z"},"content_sha256":"9c81b2a410a7fb892c07328cf907cfbf937cc238f088cf09b268d8c8243d05cc","schema_version":"1.0","event_id":"sha256:9c81b2a410a7fb892c07328cf907cfbf937cc238f088cf09b268d8c8243d05cc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DYGPCMNIDWAN5UUPDHAXMY5VBN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"IRIS: Deciphering Spectral-Line Imagery of the Galactic Center by Machine-Learning on Simulations","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"astro-ph.GA","authors_text":"Adam Ginsburg, B. L. DuBois, Cara Battersby, Dani R. Lipman, H Perry Hatchfield, Jack Sullivan, Jonah C. Baade, Mattia C. Sormani, Ralf S. Klessen, Robin Tress, Russell Bentley, Stefan Reissl, Victor F. Ksoll, Zi-Xuan Feng","submitted_at":"2026-07-01T18:00:16Z","abstract_excerpt":"In understanding the 3D structure of the Milky Way's Central Molecular Zone (CMZ), we are limited by our edge-on perspective. Towards addressing this problem, we introduce Imagery Reversion Informed by Simulation (IRIS). IRIS is a novel machine-learning code base featuring a deep convolutional neural network (CNN), which we have designed to translate edge-on observations of our Milky Way Galaxy into top-down images by training on data generated from AREPO galaxy simulations and synthetic observations of those simulations.\n  We develop a large custom dataset on which we train our bespoke model,"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01338","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/2607.01338/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":"2026-07-03T00:16:57Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YspZ3IqYPqZz0j8AijrVLiIzJHEvzMOmsIY/YZRyqSBmfXOFfrl/FS4Ybqy5Fl4aFNLPQTG+DQSCBcGtWKSTBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-04T22:06:36.791149Z"},"content_sha256":"c18385a8fcbbd790d936363e20f1b9268fcf45ee0901d5fc7286f44b6133c33b","schema_version":"1.0","event_id":"sha256:c18385a8fcbbd790d936363e20f1b9268fcf45ee0901d5fc7286f44b6133c33b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DYGPCMNIDWAN5UUPDHAXMY5VBN/bundle.json","state_url":"https://pith.science/pith/DYGPCMNIDWAN5UUPDHAXMY5VBN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DYGPCMNIDWAN5UUPDHAXMY5VBN/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":"2026-07-04T22:06:36Z","links":{"resolver":"https://pith.science/pith/DYGPCMNIDWAN5UUPDHAXMY5VBN","bundle":"https://pith.science/pith/DYGPCMNIDWAN5UUPDHAXMY5VBN/bundle.json","state":"https://pith.science/pith/DYGPCMNIDWAN5UUPDHAXMY5VBN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DYGPCMNIDWAN5UUPDHAXMY5VBN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DYGPCMNIDWAN5UUPDHAXMY5VBN","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":"eaa9158ab05722b5d5eac3d53d4767a0427c7ae09ad508f3584ccabb2c71e25e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.GA","submitted_at":"2026-07-01T18:00:16Z","title_canon_sha256":"d36038583e7db3060938d5c37c9fc1fa50e1b551774b35e18e7de42c773fd136"},"schema_version":"1.0","source":{"id":"2607.01338","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.01338","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"arxiv_version","alias_value":"2607.01338v1","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01338","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"pith_short_12","alias_value":"DYGPCMNIDWAN","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"pith_short_16","alias_value":"DYGPCMNIDWAN5UUP","created_at":"2026-07-03T00:16:57Z"},{"alias_kind":"pith_short_8","alias_value":"DYGPCMNI","created_at":"2026-07-03T00:16:57Z"}],"graph_snapshots":[{"event_id":"sha256:c18385a8fcbbd790d936363e20f1b9268fcf45ee0901d5fc7286f44b6133c33b","target":"graph","created_at":"2026-07-03T00:16:57Z","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/2607.01338/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In understanding the 3D structure of the Milky Way's Central Molecular Zone (CMZ), we are limited by our edge-on perspective. Towards addressing this problem, we introduce Imagery Reversion Informed by Simulation (IRIS). IRIS is a novel machine-learning code base featuring a deep convolutional neural network (CNN), which we have designed to translate edge-on observations of our Milky Way Galaxy into top-down images by training on data generated from AREPO galaxy simulations and synthetic observations of those simulations.\n  We develop a large custom dataset on which we train our bespoke model,","authors_text":"Adam Ginsburg, B. L. DuBois, Cara Battersby, Dani R. Lipman, H Perry Hatchfield, Jack Sullivan, Jonah C. Baade, Mattia C. Sormani, Ralf S. Klessen, Robin Tress, Russell Bentley, Stefan Reissl, Victor F. Ksoll, Zi-Xuan Feng","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.GA","submitted_at":"2026-07-01T18:00:16Z","title":"IRIS: Deciphering Spectral-Line Imagery of the Galactic Center by Machine-Learning on Simulations"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01338","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":"sha256:9c81b2a410a7fb892c07328cf907cfbf937cc238f088cf09b268d8c8243d05cc","target":"record","created_at":"2026-07-03T00:16:57Z","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":"eaa9158ab05722b5d5eac3d53d4767a0427c7ae09ad508f3584ccabb2c71e25e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"astro-ph.GA","submitted_at":"2026-07-01T18:00:16Z","title_canon_sha256":"d36038583e7db3060938d5c37c9fc1fa50e1b551774b35e18e7de42c773fd136"},"schema_version":"1.0","source":{"id":"2607.01338","kind":"arxiv","version":1}},"canonical_sha256":"1e0cf131a81d80ded28f19c17663b50b406c33fe4277f6bf099a278c5b441313","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e0cf131a81d80ded28f19c17663b50b406c33fe4277f6bf099a278c5b441313","first_computed_at":"2026-07-03T00:16:57.853821Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-03T00:16:57.853821Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"716pqYg0ooZKL2V7iEkdAAo4bp6iqA0T5rXHiAj6cj5CAEFkfwgb8MTdYkPLKmLR6LVjd6W7Gv59W8Gu6yVFAQ==","signature_status":"signed_v1","signed_at":"2026-07-03T00:16:57.854189Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.01338","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9c81b2a410a7fb892c07328cf907cfbf937cc238f088cf09b268d8c8243d05cc","sha256:c18385a8fcbbd790d936363e20f1b9268fcf45ee0901d5fc7286f44b6133c33b"],"state_sha256":"26808f3a2ce2b8362f2f9ffc859e64e5de30c8f361b309bd73bb74060838c59a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EDfdNJqmdpGrpHWzGK74ulSgIpHtb3bBnBm5ldpaNkrZWe+f6IyoceI1u0jiEDXnpaGkUxNluf9/qr9LrwPxBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-04T22:06:36.793256Z","bundle_sha256":"2a5569282d226d2e6f9b5eabef99169aebc05f81bbeeaa5e75d0925ab83130d1"}}