{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:J54T6CHQ2D5ILF7STSPK4VRRGZ","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":"4f60dbbc2948dbc5e8473db43d24f92aa2e0d62fc3f562edb44abab7ac86fdad","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T13:16:55Z","title_canon_sha256":"f22cbea118364d6d185ca558683a35c3ee2dec657bf69c22a3aaa1f3e6faa27a"},"schema_version":"1.0","source":{"id":"2508.20760","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20760","created_at":"2026-07-05T12:03:32Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20760v2","created_at":"2026-07-05T12:03:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20760","created_at":"2026-07-05T12:03:32Z"},{"alias_kind":"pith_short_12","alias_value":"J54T6CHQ2D5I","created_at":"2026-07-05T12:03:32Z"},{"alias_kind":"pith_short_16","alias_value":"J54T6CHQ2D5ILF7S","created_at":"2026-07-05T12:03:32Z"},{"alias_kind":"pith_short_8","alias_value":"J54T6CHQ","created_at":"2026-07-05T12:03:32Z"}],"graph_snapshots":[{"event_id":"sha256:8b214146803364cc200bc2485eedc87ecf721a21720b21f35539b77929dff1a4","target":"graph","created_at":"2026-07-05T12:03:32Z","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/2508.20760/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Vision-language models (VLMs) like CLIP enable zero-shot classification by aligning images and text in a shared embedding space, offering advantages for defense applications with scarce labeled data. However, CLIP's robustness in challenging military environments, with partial occlusion and degraded signal-to-noise ratio (SNR), remains underexplored. We investigate CLIP variants' robustness to occlusion using a custom dataset of 18 military vehicle classes and evaluate using Normalized Area Under the Curve (NAUC) across occlusion percentages. Four key insights emerge: (1) Transformer-based CLI","authors_text":"Alma M. Liezenga, Frank Ruis, Gertjan Burghouts, Hugo J. Kuijf, Jan Erik van Woerden, Lotte Nijskens, Sabina van Rooij","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T13:16:55Z","title":"Occlusion Robustness of CLIP for Military Vehicle Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20760","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:b3cdfef85438f3f348647b135edd2af1df2c791228b44583a5209d0eea9c75c8","target":"record","created_at":"2026-07-05T12:03:32Z","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":"4f60dbbc2948dbc5e8473db43d24f92aa2e0d62fc3f562edb44abab7ac86fdad","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-28T13:16:55Z","title_canon_sha256":"f22cbea118364d6d185ca558683a35c3ee2dec657bf69c22a3aaa1f3e6faa27a"},"schema_version":"1.0","source":{"id":"2508.20760","kind":"arxiv","version":2}},"canonical_sha256":"4f793f08f0d0fa8597f29c9eae56313642d1681bf0989ea0750153741566e165","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4f793f08f0d0fa8597f29c9eae56313642d1681bf0989ea0750153741566e165","first_computed_at":"2026-07-05T12:03:32.905038Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:03:32.905038Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"jXTK5HwhnL0aC0+UkIq5gvihEz7szKyanTNDsZRcJvMigXm3NQPVQppiXkvP0S/kkJPvwRDohlfUt50vfTkJBg==","signature_status":"signed_v1","signed_at":"2026-07-05T12:03:32.905550Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20760","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b3cdfef85438f3f348647b135edd2af1df2c791228b44583a5209d0eea9c75c8","sha256:8b214146803364cc200bc2485eedc87ecf721a21720b21f35539b77929dff1a4"],"state_sha256":"dece3cd2c83f15c675758cafd94d9ff4286a8db7de168c7cab45280b1cf75d98"}