{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LFMJ3TJ2USPABKJH5YKTGXWNBI","short_pith_number":"pith:LFMJ3TJ2","canonical_record":{"source":{"id":"2503.06623","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T13:55:33Z","cross_cats_sorted":[],"title_canon_sha256":"e215470d4c5587dbfb949df99c4abf25a7f1b6ba15dd95547e0d0809d36ade37","abstract_canon_sha256":"36282214f4f04dc2b36af8573bd479c689b23547cd681646a2cbdb4a8db7067f"},"schema_version":"1.0"},"canonical_sha256":"59589dcd3aa49e00a927ee15335ecd0a36a59e8c2b3979675461e8f614bf9b5c","source":{"kind":"arxiv","id":"2503.06623","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06623","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06623v1","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06623","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"pith_short_12","alias_value":"LFMJ3TJ2USPA","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"LFMJ3TJ2USPABKJH","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"LFMJ3TJ2","created_at":"2026-07-05T10:27:38Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LFMJ3TJ2USPABKJH5YKTGXWNBI","target":"record","payload":{"canonical_record":{"source":{"id":"2503.06623","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T13:55:33Z","cross_cats_sorted":[],"title_canon_sha256":"e215470d4c5587dbfb949df99c4abf25a7f1b6ba15dd95547e0d0809d36ade37","abstract_canon_sha256":"36282214f4f04dc2b36af8573bd479c689b23547cd681646a2cbdb4a8db7067f"},"schema_version":"1.0"},"canonical_sha256":"59589dcd3aa49e00a927ee15335ecd0a36a59e8c2b3979675461e8f614bf9b5c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:27:38.525527Z","signature_b64":"l26os1awrXM31+4eT9JUgbRKjjeVJ9lukkdhGt00dDVvEqphWLHbo5tUebx0Yzs4SooM8zuDNW1JJBmp1PpaDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"59589dcd3aa49e00a927ee15335ecd0a36a59e8c2b3979675461e8f614bf9b5c","last_reissued_at":"2026-07-05T10:27:38.524923Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:27:38.524923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2503.06623","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":"2026-07-05T10:27:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8ha/xiqLwhKTokICz7kWFFo/w7MoNwCB5ezZ1lrFAWhn175Ur4MNXo3HhKR6lde+6vdF0gSmDAFHlZcqe/w7BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:55:14.057632Z"},"content_sha256":"481fa65da84689a2f3ac70f151e903af1ed48043131d50241d732eafe3863e5d","schema_version":"1.0","event_id":"sha256:481fa65da84689a2f3ac70f151e903af1ed48043131d50241d732eafe3863e5d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LFMJ3TJ2USPABKJH5YKTGXWNBI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Transforming Weather Data from Pixel to Latent Space","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Feng Liu, Hao Chen, Junchao Gong, Lei Bai, Pengfeng Xiao, Ran Tao, Sijie Zhao, Tao Han, Wanli Ouyang, Xueliang Zhang","submitted_at":"2025-03-09T13:55:33Z","abstract_excerpt":"The increasing impact of climate change and extreme weather events has spurred growing interest in deep learning for weather research. However, existing studies often rely on weather data in pixel space, which presents several challenges such as smooth outputs in model outputs, limited applicability to a single pressure-variable subset (PVS), and high data storage and computational costs. To address these challenges, we propose a novel Weather Latent Autoencoder (WLA) that transforms weather data from pixel space to latent space, enabling efficient weather task modeling. By decoupling weather "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06623","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/2503.06623/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":"2026-07-05T10:27:38Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UvymkK9VxsWh4ku/CCwzXPeO5AuMVIeiS/9ttKambCejj9QZpUhbmXKGSfMCAWZXDod0RFVWEEWJZQrBWTCkBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T09:55:14.058172Z"},"content_sha256":"2e816cee16c18a101c78eeeb88c42740aec0160296d089561db2b486d7d6b348","schema_version":"1.0","event_id":"sha256:2e816cee16c18a101c78eeeb88c42740aec0160296d089561db2b486d7d6b348"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LFMJ3TJ2USPABKJH5YKTGXWNBI/bundle.json","state_url":"https://pith.science/pith/LFMJ3TJ2USPABKJH5YKTGXWNBI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LFMJ3TJ2USPABKJH5YKTGXWNBI/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":"2026-08-05T09:55:14Z","links":{"resolver":"https://pith.science/pith/LFMJ3TJ2USPABKJH5YKTGXWNBI","bundle":"https://pith.science/pith/LFMJ3TJ2USPABKJH5YKTGXWNBI/bundle.json","state":"https://pith.science/pith/LFMJ3TJ2USPABKJH5YKTGXWNBI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LFMJ3TJ2USPABKJH5YKTGXWNBI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LFMJ3TJ2USPABKJH5YKTGXWNBI","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":"36282214f4f04dc2b36af8573bd479c689b23547cd681646a2cbdb4a8db7067f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T13:55:33Z","title_canon_sha256":"e215470d4c5587dbfb949df99c4abf25a7f1b6ba15dd95547e0d0809d36ade37"},"schema_version":"1.0","source":{"id":"2503.06623","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.06623","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"arxiv_version","alias_value":"2503.06623v1","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.06623","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"pith_short_12","alias_value":"LFMJ3TJ2USPA","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"pith_short_16","alias_value":"LFMJ3TJ2USPABKJH","created_at":"2026-07-05T10:27:38Z"},{"alias_kind":"pith_short_8","alias_value":"LFMJ3TJ2","created_at":"2026-07-05T10:27:38Z"}],"graph_snapshots":[{"event_id":"sha256:2e816cee16c18a101c78eeeb88c42740aec0160296d089561db2b486d7d6b348","target":"graph","created_at":"2026-07-05T10:27:38Z","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/2503.06623/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The increasing impact of climate change and extreme weather events has spurred growing interest in deep learning for weather research. However, existing studies often rely on weather data in pixel space, which presents several challenges such as smooth outputs in model outputs, limited applicability to a single pressure-variable subset (PVS), and high data storage and computational costs. To address these challenges, we propose a novel Weather Latent Autoencoder (WLA) that transforms weather data from pixel space to latent space, enabling efficient weather task modeling. By decoupling weather ","authors_text":"Feng Liu, Hao Chen, Junchao Gong, Lei Bai, Pengfeng Xiao, Ran Tao, Sijie Zhao, Tao Han, Wanli Ouyang, Xueliang Zhang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T13:55:33Z","title":"Transforming Weather Data from Pixel to Latent Space"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.06623","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":"sha256:481fa65da84689a2f3ac70f151e903af1ed48043131d50241d732eafe3863e5d","target":"record","created_at":"2026-07-05T10:27:38Z","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":"36282214f4f04dc2b36af8573bd479c689b23547cd681646a2cbdb4a8db7067f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-03-09T13:55:33Z","title_canon_sha256":"e215470d4c5587dbfb949df99c4abf25a7f1b6ba15dd95547e0d0809d36ade37"},"schema_version":"1.0","source":{"id":"2503.06623","kind":"arxiv","version":1}},"canonical_sha256":"59589dcd3aa49e00a927ee15335ecd0a36a59e8c2b3979675461e8f614bf9b5c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"59589dcd3aa49e00a927ee15335ecd0a36a59e8c2b3979675461e8f614bf9b5c","first_computed_at":"2026-07-05T10:27:38.524923Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:27:38.524923Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"l26os1awrXM31+4eT9JUgbRKjjeVJ9lukkdhGt00dDVvEqphWLHbo5tUebx0Yzs4SooM8zuDNW1JJBmp1PpaDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:27:38.525527Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.06623","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:481fa65da84689a2f3ac70f151e903af1ed48043131d50241d732eafe3863e5d","sha256:2e816cee16c18a101c78eeeb88c42740aec0160296d089561db2b486d7d6b348"],"state_sha256":"6617e99a56b6ee73911f760a89a6c6319187cef546c38bfd430a9e3880718615"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UFFepVZNfkNIbgTuwNe7Qs/kcutHRO0hATXPQSQauXHC5bZp+QWPbtsEWwoqQhS9lbEGyyv3SIk93b+jrndzCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T09:55:14.061519Z","bundle_sha256":"4ab929eeecc0130b215b995474432b678fee529c9373b1d38a44e1720f43257d"}}