{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:F77BNENJ2I4QN5POWH6I7MCYB5","short_pith_number":"pith:F77BNENJ","canonical_record":{"source":{"id":"2312.03606","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T16:53:17Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b9196c15c0f98f74d7155faf82389ad3a6b3f3c948e53bdbfbd5d44bac5bd0d4","abstract_canon_sha256":"f2b66e0bec164e2b92bd9f5495bee436234323e00fffab7839724ee9675581f1"},"schema_version":"1.0"},"canonical_sha256":"2ffe1691a9d23906f5eeb1fc8fb0580f53f1d05b6e78b5ea7047c4310458aa8f","source":{"kind":"arxiv","id":"2312.03606","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03606","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03606v2","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03606","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"pith_short_12","alias_value":"F77BNENJ2I4Q","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"pith_short_16","alias_value":"F77BNENJ2I4QN5PO","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"pith_short_8","alias_value":"F77BNENJ","created_at":"2026-07-05T08:23:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:F77BNENJ2I4QN5POWH6I7MCYB5","target":"record","payload":{"canonical_record":{"source":{"id":"2312.03606","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T16:53:17Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"b9196c15c0f98f74d7155faf82389ad3a6b3f3c948e53bdbfbd5d44bac5bd0d4","abstract_canon_sha256":"f2b66e0bec164e2b92bd9f5495bee436234323e00fffab7839724ee9675581f1"},"schema_version":"1.0"},"canonical_sha256":"2ffe1691a9d23906f5eeb1fc8fb0580f53f1d05b6e78b5ea7047c4310458aa8f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:23:14.503785Z","signature_b64":"hT94pMfe5jBB+wY9oF5f2TK7pIeItLnAsNcPIbeQJBLqNwRHix2PjSCZD/GC0JSP/j1cD3Fe8Ng4/gWap9oGCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"2ffe1691a9d23906f5eeb1fc8fb0580f53f1d05b6e78b5ea7047c4310458aa8f","last_reissued_at":"2026-07-05T08:23:14.503242Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:23:14.503242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.03606","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":"2026-07-05T08:23:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RV2n2R8lCbkgKxYrXhDytsCElTwyOKq9tBgj0uOeYZL9e6kxSG/38wzewI7cx2BpMIQ5jgJ/xhS65AcAOdBvCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T19:05:43.357198Z"},"content_sha256":"495c00fb380bfda96c9378e02f36e050d820ca171d955bcc2d59239c17b9f683","schema_version":"1.0","event_id":"sha256:495c00fb380bfda96c9378e02f36e050d820ca171d955bcc2d59239c17b9f683"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:F77BNENJ2I4QN5POWH6I7MCYB5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"DiffusionSat: A Generative Foundation Model for Satellite Imagery","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CV","authors_text":"Chenlin Meng, David Lobell, Linqi Zhou, Marshall Burke, Patrick Liu, Robin Rombach, Samar Khanna, Stefano Ermon","submitted_at":"2023-12-06T16:53:17Z","abstract_excerpt":"Diffusion models have achieved state-of-the-art results on many modalities including images, speech, and video. However, existing models are not tailored to support remote sensing data, which is widely used in important applications including environmental monitoring and crop-yield prediction. Satellite images are significantly different from natural images -- they can be multi-spectral, irregularly sampled across time -- and existing diffusion models trained on images from the Web do not support them. Furthermore, remote sensing data is inherently spatio-temporal, requiring conditional genera"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03606","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/2312.03606/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":"2026-07-05T08:23:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"f227HCGhk1nfBfuBcuqBbKB3zRR+PiqGepjNtocXoE6LjkCfWRcaZ39nM/Zj6zRo2eRjJ/9XMue1Zd9FCxA2Ag==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-24T19:05:43.357602Z"},"content_sha256":"986c1ff7fd6aff43611b93ba418ec3ae1d3cce62ef65821db3473575600665b4","schema_version":"1.0","event_id":"sha256:986c1ff7fd6aff43611b93ba418ec3ae1d3cce62ef65821db3473575600665b4"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/F77BNENJ2I4QN5POWH6I7MCYB5/bundle.json","state_url":"https://pith.science/pith/F77BNENJ2I4QN5POWH6I7MCYB5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/F77BNENJ2I4QN5POWH6I7MCYB5/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":"2026-07-24T19:05:43Z","links":{"resolver":"https://pith.science/pith/F77BNENJ2I4QN5POWH6I7MCYB5","bundle":"https://pith.science/pith/F77BNENJ2I4QN5POWH6I7MCYB5/bundle.json","state":"https://pith.science/pith/F77BNENJ2I4QN5POWH6I7MCYB5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/F77BNENJ2I4QN5POWH6I7MCYB5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:F77BNENJ2I4QN5POWH6I7MCYB5","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":"f2b66e0bec164e2b92bd9f5495bee436234323e00fffab7839724ee9675581f1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T16:53:17Z","title_canon_sha256":"b9196c15c0f98f74d7155faf82389ad3a6b3f3c948e53bdbfbd5d44bac5bd0d4"},"schema_version":"1.0","source":{"id":"2312.03606","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.03606","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"arxiv_version","alias_value":"2312.03606v2","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.03606","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"pith_short_12","alias_value":"F77BNENJ2I4Q","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"pith_short_16","alias_value":"F77BNENJ2I4QN5PO","created_at":"2026-07-05T08:23:14Z"},{"alias_kind":"pith_short_8","alias_value":"F77BNENJ","created_at":"2026-07-05T08:23:14Z"}],"graph_snapshots":[{"event_id":"sha256:986c1ff7fd6aff43611b93ba418ec3ae1d3cce62ef65821db3473575600665b4","target":"graph","created_at":"2026-07-05T08:23:14Z","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/2312.03606/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Diffusion models have achieved state-of-the-art results on many modalities including images, speech, and video. However, existing models are not tailored to support remote sensing data, which is widely used in important applications including environmental monitoring and crop-yield prediction. Satellite images are significantly different from natural images -- they can be multi-spectral, irregularly sampled across time -- and existing diffusion models trained on images from the Web do not support them. Furthermore, remote sensing data is inherently spatio-temporal, requiring conditional genera","authors_text":"Chenlin Meng, David Lobell, Linqi Zhou, Marshall Burke, Patrick Liu, Robin Rombach, Samar Khanna, Stefano Ermon","cross_cats":["cs.AI","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T16:53:17Z","title":"DiffusionSat: A Generative Foundation Model for Satellite Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.03606","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":"sha256:495c00fb380bfda96c9378e02f36e050d820ca171d955bcc2d59239c17b9f683","target":"record","created_at":"2026-07-05T08:23:14Z","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":"f2b66e0bec164e2b92bd9f5495bee436234323e00fffab7839724ee9675581f1","cross_cats_sorted":["cs.AI","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-12-06T16:53:17Z","title_canon_sha256":"b9196c15c0f98f74d7155faf82389ad3a6b3f3c948e53bdbfbd5d44bac5bd0d4"},"schema_version":"1.0","source":{"id":"2312.03606","kind":"arxiv","version":2}},"canonical_sha256":"2ffe1691a9d23906f5eeb1fc8fb0580f53f1d05b6e78b5ea7047c4310458aa8f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"2ffe1691a9d23906f5eeb1fc8fb0580f53f1d05b6e78b5ea7047c4310458aa8f","first_computed_at":"2026-07-05T08:23:14.503242Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:23:14.503242Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"hT94pMfe5jBB+wY9oF5f2TK7pIeItLnAsNcPIbeQJBLqNwRHix2PjSCZD/GC0JSP/j1cD3Fe8Ng4/gWap9oGCw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:23:14.503785Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.03606","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:495c00fb380bfda96c9378e02f36e050d820ca171d955bcc2d59239c17b9f683","sha256:986c1ff7fd6aff43611b93ba418ec3ae1d3cce62ef65821db3473575600665b4"],"state_sha256":"2e59454095e1b0ed2073ae8223f47f5a4cd157ad0f94efab92a3f3644b28c703"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3mwHxg+N4+fHfbVzR6AvLc2CClqTJhugb208Fm3QJVYWm7TlMOxDrbfbbAxcz5euYNm8Cu4+Zu3aPO/Ypp3FDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-24T19:05:43.360007Z","bundle_sha256":"629101d3ce911f2c15b9c83b29db8385697b1fea5d09748677838a0af689dc27"}}