{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VV3TZJ6UXOE5GNB46GLL6O3SDX","short_pith_number":"pith:VV3TZJ6U","canonical_record":{"source":{"id":"2505.24489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T11:43:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7240e474b014f5a27c4bc37d91a63723f58a64d55f782ab3fe8f43e9b54a3908","abstract_canon_sha256":"78f59f7e01d2c4bf0de8531e67b7478b979bf1ced1727cce9816777a0c5edaae"},"schema_version":"1.0"},"canonical_sha256":"ad773ca7d4bb89d3343cf196bf3b721df1df3092b2f808805239fb3213447f75","source":{"kind":"arxiv","id":"2505.24489","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24489","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24489v1","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24489","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"pith_short_12","alias_value":"VV3TZJ6UXOE5","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"pith_short_16","alias_value":"VV3TZJ6UXOE5GNB4","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"pith_short_8","alias_value":"VV3TZJ6U","created_at":"2026-07-05T11:12:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VV3TZJ6UXOE5GNB46GLL6O3SDX","target":"record","payload":{"canonical_record":{"source":{"id":"2505.24489","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T11:43:09Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"7240e474b014f5a27c4bc37d91a63723f58a64d55f782ab3fe8f43e9b54a3908","abstract_canon_sha256":"78f59f7e01d2c4bf0de8531e67b7478b979bf1ced1727cce9816777a0c5edaae"},"schema_version":"1.0"},"canonical_sha256":"ad773ca7d4bb89d3343cf196bf3b721df1df3092b2f808805239fb3213447f75","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:12:50.952842Z","signature_b64":"58kojrsytMA+mjujcOm8s8vufhRJgPtJEfoWcQmLLd4wIvfMCj/PlRbQww+Nm7o7+k4IAFTxMkV4+932QPjpDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad773ca7d4bb89d3343cf196bf3b721df1df3092b2f808805239fb3213447f75","last_reissued_at":"2026-07-05T11:12:50.952357Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:12:50.952357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2505.24489","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":"2026-07-05T11:12:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MhwzSC0cCWUWuG/DEvD90kX1JAaktp/p+GQthGasVhJIL+VQD7c99Xy0D/5GPykz8LZNrMWsskTGluLk9ATmCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:37:24.709960Z"},"content_sha256":"8770a70bf6d308dcdbadd1ab1336f019eeb3090206383692faba4940e4b0e7f2","schema_version":"1.0","event_id":"sha256:8770a70bf6d308dcdbadd1ab1336f019eeb3090206383692faba4940e4b0e7f2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VV3TZJ6UXOE5GNB46GLL6O3SDX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Ahmed El Khadimi, Anasse Boutayeb, Iyad Lahsen-cherif","submitted_at":"2025-05-30T11:43:09Z","abstract_excerpt":"Object detection has recently seen an interesting trend in terms of the most innovative research work, this task being of particular importance in the field of remote sensing, given the consistency of these images in terms of geographical coverage and the objects present. Furthermore, Deep Learning (DL) models, in particular those based on Transformers, are especially relevant for visual computing tasks in general, and target detection in particular. Thus, the present work proposes an application of Deformable-DETR model, a specific architecture using deformable attention mechanisms, on remote"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24489","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/2505.24489/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":"2026-07-05T11:12:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/eo3/dWZtbNKEJRCtXicoF/enWoaRYuQOu+KXWUA1t0xv7VDufLimBNVSIcDuudZB7iuE50F8cYQmAPOfem3Cw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T18:37:24.710508Z"},"content_sha256":"1bba2a0656c46011c11ae4b2412008f9facbea5aa8e9ba8dcc34d5b9c760ba71","schema_version":"1.0","event_id":"sha256:1bba2a0656c46011c11ae4b2412008f9facbea5aa8e9ba8dcc34d5b9c760ba71"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VV3TZJ6UXOE5GNB46GLL6O3SDX/bundle.json","state_url":"https://pith.science/pith/VV3TZJ6UXOE5GNB46GLL6O3SDX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VV3TZJ6UXOE5GNB46GLL6O3SDX/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":"2026-08-09T18:37:24Z","links":{"resolver":"https://pith.science/pith/VV3TZJ6UXOE5GNB46GLL6O3SDX","bundle":"https://pith.science/pith/VV3TZJ6UXOE5GNB46GLL6O3SDX/bundle.json","state":"https://pith.science/pith/VV3TZJ6UXOE5GNB46GLL6O3SDX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VV3TZJ6UXOE5GNB46GLL6O3SDX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VV3TZJ6UXOE5GNB46GLL6O3SDX","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":"78f59f7e01d2c4bf0de8531e67b7478b979bf1ced1727cce9816777a0c5edaae","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T11:43:09Z","title_canon_sha256":"7240e474b014f5a27c4bc37d91a63723f58a64d55f782ab3fe8f43e9b54a3908"},"schema_version":"1.0","source":{"id":"2505.24489","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.24489","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"arxiv_version","alias_value":"2505.24489v1","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.24489","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"pith_short_12","alias_value":"VV3TZJ6UXOE5","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"pith_short_16","alias_value":"VV3TZJ6UXOE5GNB4","created_at":"2026-07-05T11:12:50Z"},{"alias_kind":"pith_short_8","alias_value":"VV3TZJ6U","created_at":"2026-07-05T11:12:50Z"}],"graph_snapshots":[{"event_id":"sha256:1bba2a0656c46011c11ae4b2412008f9facbea5aa8e9ba8dcc34d5b9c760ba71","target":"graph","created_at":"2026-07-05T11:12:50Z","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/2505.24489/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Object detection has recently seen an interesting trend in terms of the most innovative research work, this task being of particular importance in the field of remote sensing, given the consistency of these images in terms of geographical coverage and the objects present. Furthermore, Deep Learning (DL) models, in particular those based on Transformers, are especially relevant for visual computing tasks in general, and target detection in particular. Thus, the present work proposes an application of Deformable-DETR model, a specific architecture using deformable attention mechanisms, on remote","authors_text":"Ahmed El Khadimi, Anasse Boutayeb, Iyad Lahsen-cherif","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T11:43:09Z","title":"Deformable Attention Mechanisms Applied to Object Detection, case of Remote Sensing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.24489","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":"sha256:8770a70bf6d308dcdbadd1ab1336f019eeb3090206383692faba4940e4b0e7f2","target":"record","created_at":"2026-07-05T11:12:50Z","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":"78f59f7e01d2c4bf0de8531e67b7478b979bf1ced1727cce9816777a0c5edaae","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-05-30T11:43:09Z","title_canon_sha256":"7240e474b014f5a27c4bc37d91a63723f58a64d55f782ab3fe8f43e9b54a3908"},"schema_version":"1.0","source":{"id":"2505.24489","kind":"arxiv","version":1}},"canonical_sha256":"ad773ca7d4bb89d3343cf196bf3b721df1df3092b2f808805239fb3213447f75","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad773ca7d4bb89d3343cf196bf3b721df1df3092b2f808805239fb3213447f75","first_computed_at":"2026-07-05T11:12:50.952357Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:12:50.952357Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"58kojrsytMA+mjujcOm8s8vufhRJgPtJEfoWcQmLLd4wIvfMCj/PlRbQww+Nm7o7+k4IAFTxMkV4+932QPjpDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:12:50.952842Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.24489","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8770a70bf6d308dcdbadd1ab1336f019eeb3090206383692faba4940e4b0e7f2","sha256:1bba2a0656c46011c11ae4b2412008f9facbea5aa8e9ba8dcc34d5b9c760ba71"],"state_sha256":"c81920f4df3b3dbf244237c6bd665968d0073b25404953cdcecc0b059e2ffe7f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ek3z72rKv1ajQU/rJk8rhnt27uaO7RaaFgdBxXUXsjty69nDysZg3brD2CHNKLPySUCDph5UmFVhBUVq0u5DDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T18:37:24.714573Z","bundle_sha256":"8953e62c88bb356caa24dd4c451da0b367c280d458cebbb93ac066c8e20d162f"}}