{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VKVFESNWE4BT7JVM24CVVMONCC","short_pith_number":"pith:VKVFESNW","canonical_record":{"source":{"id":"2411.13127","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T08:37:39Z","cross_cats_sorted":[],"title_canon_sha256":"646189e66b00e6693d705ed2799c591af8c59765ea92020ec51062e35f79811f","abstract_canon_sha256":"f6f1115ac5d3dfe3a5995e56149f8284b21f6044f71e3762ef948022f6069818"},"schema_version":"1.0"},"canonical_sha256":"aaaa5249b627033fa6acd7055ab1cd10a93741684f5ebd7ee0a45e3341ca8f50","source":{"kind":"arxiv","id":"2411.13127","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13127","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13127v2","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13127","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"VKVFESNWE4BT","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_16","alias_value":"VKVFESNWE4BT7JVM","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_8","alias_value":"VKVFESNW","created_at":"2026-07-05T09:39:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VKVFESNWE4BT7JVM24CVVMONCC","target":"record","payload":{"canonical_record":{"source":{"id":"2411.13127","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T08:37:39Z","cross_cats_sorted":[],"title_canon_sha256":"646189e66b00e6693d705ed2799c591af8c59765ea92020ec51062e35f79811f","abstract_canon_sha256":"f6f1115ac5d3dfe3a5995e56149f8284b21f6044f71e3762ef948022f6069818"},"schema_version":"1.0"},"canonical_sha256":"aaaa5249b627033fa6acd7055ab1cd10a93741684f5ebd7ee0a45e3341ca8f50","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:39:29.802347Z","signature_b64":"15CvgNYADd/Q7bZWSlOdv3+uOQdhXQVGB1L5tLJAQ4ZnSsxKSo3dWioA/a1gJJ0LKIasDOQGLgpyBvvzD9rbBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aaaa5249b627033fa6acd7055ab1cd10a93741684f5ebd7ee0a45e3341ca8f50","last_reissued_at":"2026-07-05T09:39:29.801851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:39:29.801851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2411.13127","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":"2026-07-05T09:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"m5iW4S3WABQ/GE9tUfVN+k2kWJwOg4LfUs53DVZ04tsxyJyijVmJ4iS2uSN/fZ46Jd5/cru+CAabQH2f6SHJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T06:35:25.159154Z"},"content_sha256":"debd48426f950853f41e3ee0f8c21d149537c6cfac77b57cef3adbe38a8fc19d","schema_version":"1.0","event_id":"sha256:debd48426f950853f41e3ee0f8c21d149537c6cfac77b57cef3adbe38a8fc19d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VKVFESNWE4BT7JVM24CVVMONCC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Congyan Lang, Junliang Xing, Kai Li, Lei Jin, Pin Tao, Shiying Wang, Shun Zhang, Xuechao Zou","submitted_at":"2024-11-20T08:37:39Z","abstract_excerpt":"Cloud segmentation is a critical challenge in remote sensing image interpretation, as its accuracy directly impacts the effectiveness of subsequent data processing and analysis. Recently, vision foundation models (VFM) have demonstrated powerful generalization capabilities across various visual tasks. In this paper, we present a parameter-efficient adaptive approach, termed Cloud-Adapter, designed to enhance the accuracy and robustness of cloud segmentation. Our method leverages a VFM pretrained on general domain data, which remains frozen, eliminating the need for additional training. Cloud-A"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13127","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/2411.13127/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":"2026-07-05T09:39:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UXi2jHHUU8NMKy+3RdrxaHNe4oOsKVZyPukrX8VZuOJp6b2p6jPBptlPCtLdOVKic51o/+vLu1VTWQ4kU0DABQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-17T06:35:25.159528Z"},"content_sha256":"61ebdfdaea4b14dada01c7ff222b4b3a55f1b0f7180fbffcac04c61101e21522","schema_version":"1.0","event_id":"sha256:61ebdfdaea4b14dada01c7ff222b4b3a55f1b0f7180fbffcac04c61101e21522"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VKVFESNWE4BT7JVM24CVVMONCC/bundle.json","state_url":"https://pith.science/pith/VKVFESNWE4BT7JVM24CVVMONCC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VKVFESNWE4BT7JVM24CVVMONCC/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":"2026-07-17T06:35:25Z","links":{"resolver":"https://pith.science/pith/VKVFESNWE4BT7JVM24CVVMONCC","bundle":"https://pith.science/pith/VKVFESNWE4BT7JVM24CVVMONCC/bundle.json","state":"https://pith.science/pith/VKVFESNWE4BT7JVM24CVVMONCC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VKVFESNWE4BT7JVM24CVVMONCC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VKVFESNWE4BT7JVM24CVVMONCC","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":"f6f1115ac5d3dfe3a5995e56149f8284b21f6044f71e3762ef948022f6069818","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T08:37:39Z","title_canon_sha256":"646189e66b00e6693d705ed2799c591af8c59765ea92020ec51062e35f79811f"},"schema_version":"1.0","source":{"id":"2411.13127","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13127","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13127v2","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13127","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_12","alias_value":"VKVFESNWE4BT","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_16","alias_value":"VKVFESNWE4BT7JVM","created_at":"2026-07-05T09:39:29Z"},{"alias_kind":"pith_short_8","alias_value":"VKVFESNW","created_at":"2026-07-05T09:39:29Z"}],"graph_snapshots":[{"event_id":"sha256:61ebdfdaea4b14dada01c7ff222b4b3a55f1b0f7180fbffcac04c61101e21522","target":"graph","created_at":"2026-07-05T09:39:29Z","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/2411.13127/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Cloud segmentation is a critical challenge in remote sensing image interpretation, as its accuracy directly impacts the effectiveness of subsequent data processing and analysis. Recently, vision foundation models (VFM) have demonstrated powerful generalization capabilities across various visual tasks. In this paper, we present a parameter-efficient adaptive approach, termed Cloud-Adapter, designed to enhance the accuracy and robustness of cloud segmentation. Our method leverages a VFM pretrained on general domain data, which remains frozen, eliminating the need for additional training. Cloud-A","authors_text":"Congyan Lang, Junliang Xing, Kai Li, Lei Jin, Pin Tao, Shiying Wang, Shun Zhang, Xuechao Zou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T08:37:39Z","title":"Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13127","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:debd48426f950853f41e3ee0f8c21d149537c6cfac77b57cef3adbe38a8fc19d","target":"record","created_at":"2026-07-05T09:39:29Z","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":"f6f1115ac5d3dfe3a5995e56149f8284b21f6044f71e3762ef948022f6069818","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T08:37:39Z","title_canon_sha256":"646189e66b00e6693d705ed2799c591af8c59765ea92020ec51062e35f79811f"},"schema_version":"1.0","source":{"id":"2411.13127","kind":"arxiv","version":2}},"canonical_sha256":"aaaa5249b627033fa6acd7055ab1cd10a93741684f5ebd7ee0a45e3341ca8f50","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aaaa5249b627033fa6acd7055ab1cd10a93741684f5ebd7ee0a45e3341ca8f50","first_computed_at":"2026-07-05T09:39:29.801851Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:39:29.801851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"15CvgNYADd/Q7bZWSlOdv3+uOQdhXQVGB1L5tLJAQ4ZnSsxKSo3dWioA/a1gJJ0LKIasDOQGLgpyBvvzD9rbBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:39:29.802347Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13127","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:debd48426f950853f41e3ee0f8c21d149537c6cfac77b57cef3adbe38a8fc19d","sha256:61ebdfdaea4b14dada01c7ff222b4b3a55f1b0f7180fbffcac04c61101e21522"],"state_sha256":"a3ad0ffb499a4b087a603c7f3e3139f66ccd70fbf12104b81d67ce6dea151ed0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"SNOc5DJyxx5tbyrF2Qr1w1u3acTnwH0MrIUXDqFk5fV3c4jlhEX+qxA/e/NPxbxmnQ071hRp8WOh7UgqpNiUBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-17T06:35:25.161589Z","bundle_sha256":"66e2e15dc95e6b43bb20fc77f3628821e40c695a9d0144b56ee8dec3976f8593"}}