{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:BA5MLQGOJX5WUOBHVL54Z6PCBH","short_pith_number":"pith:BA5MLQGO","canonical_record":{"source":{"id":"2508.12343","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-17T12:22:18Z","cross_cats_sorted":[],"title_canon_sha256":"f5cf4c9d9c7217777580942aa24e8dc203aa35cc8cc24b83416b7547411414b9","abstract_canon_sha256":"3d97ff7ba67baa83cc2293a12c4419e7cb8e270567c915bd147f387c563af2ee"},"schema_version":"1.0"},"canonical_sha256":"083ac5c0ce4dfb6a3827aafbccf9e209cde12e0a146735f370dc7b40de3b1e8c","source":{"kind":"arxiv","id":"2508.12343","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.12343","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"arxiv_version","alias_value":"2508.12343v1","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.12343","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"pith_short_12","alias_value":"BA5MLQGOJX5W","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"pith_short_16","alias_value":"BA5MLQGOJX5WUOBH","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"pith_short_8","alias_value":"BA5MLQGO","created_at":"2026-07-05T11:55:03Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:BA5MLQGOJX5WUOBHVL54Z6PCBH","target":"record","payload":{"canonical_record":{"source":{"id":"2508.12343","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-17T12:22:18Z","cross_cats_sorted":[],"title_canon_sha256":"f5cf4c9d9c7217777580942aa24e8dc203aa35cc8cc24b83416b7547411414b9","abstract_canon_sha256":"3d97ff7ba67baa83cc2293a12c4419e7cb8e270567c915bd147f387c563af2ee"},"schema_version":"1.0"},"canonical_sha256":"083ac5c0ce4dfb6a3827aafbccf9e209cde12e0a146735f370dc7b40de3b1e8c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:55:03.900480Z","signature_b64":"uQ6LBL0qCS0LFSh+IosQXXhv6JgTntzicLj4KjM+s9vvz3bBEfT/zJI9hC/57YBwlOp5Ctv/f7wu5E6mR6gaDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"083ac5c0ce4dfb6a3827aafbccf9e209cde12e0a146735f370dc7b40de3b1e8c","last_reissued_at":"2026-07-05T11:55:03.899951Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:55:03.899951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.12343","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":"2026-07-05T11:55:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Sm4AT3jzfxI0Caa58xBulGrrPjl8AIVzhsytyUDYfpfg4orwKxURQbFM1iiem0RCLdNJCfJNYiY/Jn7JTv6XAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:29:53.387618Z"},"content_sha256":"73c756b38e8064d4f26b6c084b92248833615286a1be585ad6e15120d5aa3956","schema_version":"1.0","event_id":"sha256:73c756b38e8064d4f26b6c084b92248833615286a1be585ad6e15120d5aa3956"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:BA5MLQGOJX5WUOBHVL54Z6PCBH","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"AquaFeat: A Features-Based Image Enhancement Model for Underwater Object Detection","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Eduardo L. Silva, Emanuel C. Silva, Felipe G. Oliveira, Guilherme L. M. Costa, Gustavo P. Almeida, Karina S. Machado, Paulo L. J. Drews-Jr, Sam S. Devincenzi, Stephanie L. Bri\\~ao, Tatiana T. Schein","submitted_at":"2025-08-17T12:22:18Z","abstract_excerpt":"The severe image degradation in underwater environments impairs object detection models, as traditional image enhancement methods are often not optimized for such downstream tasks. To address this, we propose AquaFeat, a novel, plug-and-play module that performs task-driven feature enhancement. Our approach integrates a multi-scale feature enhancement network trained end-to-end with the detector's loss function, ensuring the enhancement process is explicitly guided to refine features most relevant to the detection task. When integrated with YOLOv8m on challenging underwater datasets, AquaFeat "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.12343","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/2508.12343/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":"2026-07-05T11:55:03Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HTmHr5rjyqjcG6C7uMbcoC5cXazMRwHTQdWscJTEUWVcwcvQRqL2sZkU8ggkj8I4FYXlW8SRDxTYEUJPeGR4DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T21:29:53.388108Z"},"content_sha256":"23792206e3ef762715d386ba40d4c2a7b40f2e826b0457022fd222ae9605d742","schema_version":"1.0","event_id":"sha256:23792206e3ef762715d386ba40d4c2a7b40f2e826b0457022fd222ae9605d742"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BA5MLQGOJX5WUOBHVL54Z6PCBH/bundle.json","state_url":"https://pith.science/pith/BA5MLQGOJX5WUOBHVL54Z6PCBH/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BA5MLQGOJX5WUOBHVL54Z6PCBH/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":"2026-08-04T21:29:53Z","links":{"resolver":"https://pith.science/pith/BA5MLQGOJX5WUOBHVL54Z6PCBH","bundle":"https://pith.science/pith/BA5MLQGOJX5WUOBHVL54Z6PCBH/bundle.json","state":"https://pith.science/pith/BA5MLQGOJX5WUOBHVL54Z6PCBH/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BA5MLQGOJX5WUOBHVL54Z6PCBH/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BA5MLQGOJX5WUOBHVL54Z6PCBH","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":"3d97ff7ba67baa83cc2293a12c4419e7cb8e270567c915bd147f387c563af2ee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-17T12:22:18Z","title_canon_sha256":"f5cf4c9d9c7217777580942aa24e8dc203aa35cc8cc24b83416b7547411414b9"},"schema_version":"1.0","source":{"id":"2508.12343","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.12343","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"arxiv_version","alias_value":"2508.12343v1","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.12343","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"pith_short_12","alias_value":"BA5MLQGOJX5W","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"pith_short_16","alias_value":"BA5MLQGOJX5WUOBH","created_at":"2026-07-05T11:55:03Z"},{"alias_kind":"pith_short_8","alias_value":"BA5MLQGO","created_at":"2026-07-05T11:55:03Z"}],"graph_snapshots":[{"event_id":"sha256:23792206e3ef762715d386ba40d4c2a7b40f2e826b0457022fd222ae9605d742","target":"graph","created_at":"2026-07-05T11:55:03Z","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/2508.12343/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The severe image degradation in underwater environments impairs object detection models, as traditional image enhancement methods are often not optimized for such downstream tasks. To address this, we propose AquaFeat, a novel, plug-and-play module that performs task-driven feature enhancement. Our approach integrates a multi-scale feature enhancement network trained end-to-end with the detector's loss function, ensuring the enhancement process is explicitly guided to refine features most relevant to the detection task. When integrated with YOLOv8m on challenging underwater datasets, AquaFeat ","authors_text":"Eduardo L. Silva, Emanuel C. Silva, Felipe G. Oliveira, Guilherme L. M. Costa, Gustavo P. Almeida, Karina S. Machado, Paulo L. J. Drews-Jr, Sam S. Devincenzi, Stephanie L. Bri\\~ao, Tatiana T. Schein","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-17T12:22:18Z","title":"AquaFeat: A Features-Based Image Enhancement Model for Underwater Object Detection"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.12343","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":"sha256:73c756b38e8064d4f26b6c084b92248833615286a1be585ad6e15120d5aa3956","target":"record","created_at":"2026-07-05T11:55:03Z","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":"3d97ff7ba67baa83cc2293a12c4419e7cb8e270567c915bd147f387c563af2ee","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-08-17T12:22:18Z","title_canon_sha256":"f5cf4c9d9c7217777580942aa24e8dc203aa35cc8cc24b83416b7547411414b9"},"schema_version":"1.0","source":{"id":"2508.12343","kind":"arxiv","version":1}},"canonical_sha256":"083ac5c0ce4dfb6a3827aafbccf9e209cde12e0a146735f370dc7b40de3b1e8c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"083ac5c0ce4dfb6a3827aafbccf9e209cde12e0a146735f370dc7b40de3b1e8c","first_computed_at":"2026-07-05T11:55:03.899951Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:55:03.899951Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uQ6LBL0qCS0LFSh+IosQXXhv6JgTntzicLj4KjM+s9vvz3bBEfT/zJI9hC/57YBwlOp5Ctv/f7wu5E6mR6gaDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:55:03.900480Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.12343","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:73c756b38e8064d4f26b6c084b92248833615286a1be585ad6e15120d5aa3956","sha256:23792206e3ef762715d386ba40d4c2a7b40f2e826b0457022fd222ae9605d742"],"state_sha256":"38ec1a049c4a8e7eff7457fdff8fa0e0000f9cf6fa47d4608e29c9cb59226ab3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"rqdWfRpzfD0x3VorrrqP8lpkaq8NHMTFub/50Cg18pcsz8FRDLOP7R0QZy1oEOok01G0PdpG3R5ZMRmkagfeCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T21:29:53.394155Z","bundle_sha256":"232bb5e65a66f8561d99f88cecb1b442be49814cb5e5cbc7ef4bb99fca77f3fb"}}