{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:OPPIGQHE4NMLVTENYJQHCWU2XU","short_pith_number":"pith:OPPIGQHE","canonical_record":{"source":{"id":"2305.13456","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T19:57:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d04c5852a76fbe97fc5ee17bb14d7fa7fc7ea02aa75f70be2d1ed0c07c6265e1","abstract_canon_sha256":"883b8b12cd538ca08659cca38b81b74789e6d0b717dd0b018844166b5c37cd3a"},"schema_version":"1.0"},"canonical_sha256":"73de8340e4e358bacc8dc260715a9abd33964f5ec964813a825c8219943ed103","source":{"kind":"arxiv","id":"2305.13456","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.13456","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"arxiv_version","alias_value":"2305.13456v1","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.13456","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"pith_short_12","alias_value":"OPPIGQHE4NML","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"pith_short_16","alias_value":"OPPIGQHE4NMLVTEN","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"pith_short_8","alias_value":"OPPIGQHE","created_at":"2026-07-05T06:12:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:OPPIGQHE4NMLVTENYJQHCWU2XU","target":"record","payload":{"canonical_record":{"source":{"id":"2305.13456","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T19:57:13Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"d04c5852a76fbe97fc5ee17bb14d7fa7fc7ea02aa75f70be2d1ed0c07c6265e1","abstract_canon_sha256":"883b8b12cd538ca08659cca38b81b74789e6d0b717dd0b018844166b5c37cd3a"},"schema_version":"1.0"},"canonical_sha256":"73de8340e4e358bacc8dc260715a9abd33964f5ec964813a825c8219943ed103","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:12:52.694862Z","signature_b64":"sB+ExICac8vZfTuPqdoEPO9z8gKijEqFGFbEQdCHanDufjo/VFCEnu9tILX/+JMOr9fgyrOm2iKHbcHVr07jBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"73de8340e4e358bacc8dc260715a9abd33964f5ec964813a825c8219943ed103","last_reissued_at":"2026-07-05T06:12:52.694415Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:12:52.694415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2305.13456","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":"2026-07-05T06:12:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ciaBjsClEV1k9zCIcM/cdNRe2pqOGdnDxipmI3h6jOfoicrkmW5pa5vI19deRedgK+y0cA8Gx0oGwMissnVrDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:49:31.962743Z"},"content_sha256":"fda78c1a803fa068c39226738c6daf9d1bc1aff863e9861751357c8408f73046","schema_version":"1.0","event_id":"sha256:fda78c1a803fa068c39226738c6daf9d1bc1aff863e9861751357c8408f73046"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:OPPIGQHE4NMLVTENYJQHCWU2XU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Caleb Robinson, Isaac Corley, Juan M. Lavista Ferres, Peyman Najafirad, Rahul Dodhia","submitted_at":"2023-05-22T19:57:13Z","abstract_excerpt":"Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets containing remotely sensed imagery. A common benchmark case is to evaluate SSL pre-trained model embeddings on datasets of remotely sensed imagery with small patch sizes, e.g., 32x32 pixels, whereas standard SSL pre-training takes place with larger patch sizes, e.g., 224x224. Furthermore, pre-training methods tend to use different image normalization preprocessing steps depending on the dataset. In this paper, we show, acro"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.13456","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/2305.13456/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":"2026-07-05T06:12:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cpuYM2u5impSuq2QZyidmPOWyxG3S5bwEiXX7T09EOichO+TLAToV3uPaNdkVLo/ijner0kcs/4wbn4BWLZqDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T19:49:31.963671Z"},"content_sha256":"37c105ec01268ef048fb2bd29a8673c595e18126570369ba3b515d6670027a49","schema_version":"1.0","event_id":"sha256:37c105ec01268ef048fb2bd29a8673c595e18126570369ba3b515d6670027a49"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OPPIGQHE4NMLVTENYJQHCWU2XU/bundle.json","state_url":"https://pith.science/pith/OPPIGQHE4NMLVTENYJQHCWU2XU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OPPIGQHE4NMLVTENYJQHCWU2XU/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":"2026-08-18T19:49:31Z","links":{"resolver":"https://pith.science/pith/OPPIGQHE4NMLVTENYJQHCWU2XU","bundle":"https://pith.science/pith/OPPIGQHE4NMLVTENYJQHCWU2XU/bundle.json","state":"https://pith.science/pith/OPPIGQHE4NMLVTENYJQHCWU2XU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OPPIGQHE4NMLVTENYJQHCWU2XU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:OPPIGQHE4NMLVTENYJQHCWU2XU","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":"883b8b12cd538ca08659cca38b81b74789e6d0b717dd0b018844166b5c37cd3a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T19:57:13Z","title_canon_sha256":"d04c5852a76fbe97fc5ee17bb14d7fa7fc7ea02aa75f70be2d1ed0c07c6265e1"},"schema_version":"1.0","source":{"id":"2305.13456","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2305.13456","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"arxiv_version","alias_value":"2305.13456v1","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2305.13456","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"pith_short_12","alias_value":"OPPIGQHE4NML","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"pith_short_16","alias_value":"OPPIGQHE4NMLVTEN","created_at":"2026-07-05T06:12:52Z"},{"alias_kind":"pith_short_8","alias_value":"OPPIGQHE","created_at":"2026-07-05T06:12:52Z"}],"graph_snapshots":[{"event_id":"sha256:37c105ec01268ef048fb2bd29a8673c595e18126570369ba3b515d6670027a49","target":"graph","created_at":"2026-07-05T06:12:52Z","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/2305.13456/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Research in self-supervised learning (SSL) with natural images has progressed rapidly in recent years and is now increasingly being applied to and benchmarked with datasets containing remotely sensed imagery. A common benchmark case is to evaluate SSL pre-trained model embeddings on datasets of remotely sensed imagery with small patch sizes, e.g., 32x32 pixels, whereas standard SSL pre-training takes place with larger patch sizes, e.g., 224x224. Furthermore, pre-training methods tend to use different image normalization preprocessing steps depending on the dataset. In this paper, we show, acro","authors_text":"Caleb Robinson, Isaac Corley, Juan M. Lavista Ferres, Peyman Najafirad, Rahul Dodhia","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T19:57:13Z","title":"Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2305.13456","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:fda78c1a803fa068c39226738c6daf9d1bc1aff863e9861751357c8408f73046","target":"record","created_at":"2026-07-05T06:12:52Z","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":"883b8b12cd538ca08659cca38b81b74789e6d0b717dd0b018844166b5c37cd3a","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2023-05-22T19:57:13Z","title_canon_sha256":"d04c5852a76fbe97fc5ee17bb14d7fa7fc7ea02aa75f70be2d1ed0c07c6265e1"},"schema_version":"1.0","source":{"id":"2305.13456","kind":"arxiv","version":1}},"canonical_sha256":"73de8340e4e358bacc8dc260715a9abd33964f5ec964813a825c8219943ed103","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"73de8340e4e358bacc8dc260715a9abd33964f5ec964813a825c8219943ed103","first_computed_at":"2026-07-05T06:12:52.694415Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:12:52.694415Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sB+ExICac8vZfTuPqdoEPO9z8gKijEqFGFbEQdCHanDufjo/VFCEnu9tILX/+JMOr9fgyrOm2iKHbcHVr07jBw==","signature_status":"signed_v1","signed_at":"2026-07-05T06:12:52.694862Z","signed_message":"canonical_sha256_bytes"},"source_id":"2305.13456","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fda78c1a803fa068c39226738c6daf9d1bc1aff863e9861751357c8408f73046","sha256:37c105ec01268ef048fb2bd29a8673c595e18126570369ba3b515d6670027a49"],"state_sha256":"d3a9b92e9901579d0c37d3c33523f124e1e4c62e7de5a8dfa7c1929fddd48b67"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n1YIup8GTYfab3G4XBM9FtPPKeu1v2PBTdr4HQNqsadCgnquySDV6sQ1b6kCiD41+iRPRDsMgO7nvZEClCOZAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T19:49:31.971474Z","bundle_sha256":"1df31004d984e1f464143f94d0e5154eb980cac9877f8a3b5bc64c3e5ef4aec0"}}