{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:YQPT6TETEO2GH4ZBPXB6M54BDN","short_pith_number":"pith:YQPT6TET","canonical_record":{"source":{"id":"2507.17859","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T18:32:01Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"5a74562056a2affb8036030bbf78b526cc143a6c844a64df114fa9bcc13703f5","abstract_canon_sha256":"1ae2426628dba20623de3bbe8e3ef62df5e57f5c404149ab84a3fe2c6504df2d"},"schema_version":"1.0"},"canonical_sha256":"c41f3f4c9323b463f3217dc3e677811b75bb73f542a16693f021bf03d2d24168","source":{"kind":"arxiv","id":"2507.17859","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17859","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17859v1","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17859","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"pith_short_12","alias_value":"YQPT6TETEO2G","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"pith_short_16","alias_value":"YQPT6TETEO2GH4ZB","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"pith_short_8","alias_value":"YQPT6TET","created_at":"2026-07-05T11:42:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:YQPT6TETEO2GH4ZBPXB6M54BDN","target":"record","payload":{"canonical_record":{"source":{"id":"2507.17859","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T18:32:01Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"5a74562056a2affb8036030bbf78b526cc143a6c844a64df114fa9bcc13703f5","abstract_canon_sha256":"1ae2426628dba20623de3bbe8e3ef62df5e57f5c404149ab84a3fe2c6504df2d"},"schema_version":"1.0"},"canonical_sha256":"c41f3f4c9323b463f3217dc3e677811b75bb73f542a16693f021bf03d2d24168","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:42:36.429282Z","signature_b64":"UTYqrxI6psN69u309i+8BS6Mpz5wXSLUHC46Q6n93BsRsTduexw0V/cU2D1g8sC9wNLczweMXUHtkihyt7ybDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c41f3f4c9323b463f3217dc3e677811b75bb73f542a16693f021bf03d2d24168","last_reissued_at":"2026-07-05T11:42:36.428802Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:42:36.428802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.17859","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":"2026-07-05T11:42:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IGepeq2oGJvxs0SpYndHh5KoVwBCtMHCcc3QLzBLa+CUw9w8MZXOaqM1snLYxrGmOpB3mDBfknjLZPE1pNtIBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:43:58.081584Z"},"content_sha256":"9caff865fcb9e8b2c0720093baec89dfdf13abfc37920ebefe27e3717bc6683c","schema_version":"1.0","event_id":"sha256:9caff865fcb9e8b2c0720093baec89dfdf13abfc37920ebefe27e3717bc6683c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:YQPT6TETEO2GH4ZBPXB6M54BDN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"FishDet-M: A Unified Large-Scale Benchmark for Robust Fish Detection and CLIP-Guided Model Selection in Diverse Aquatic Visual Domains","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Irfan Hussain, Lyes Saad Saoud, Muayad Abujabal","submitted_at":"2025-07-23T18:32:01Z","abstract_excerpt":"Accurate fish detection in underwater imagery is essential for ecological monitoring, aquaculture automation, and robotic perception. However, practical deployment remains limited by fragmented datasets, heterogeneous imaging conditions, and inconsistent evaluation protocols. To address these gaps, we present \\textit{FishDet-M}, the largest unified benchmark for fish detection, comprising 13 publicly available datasets spanning diverse aquatic environments including marine, brackish, occluded, and aquarium scenes. All data are harmonized using COCO-style annotations with both bounding boxes an"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17859","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/2507.17859/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":"2026-07-05T11:42:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ixDmp3x4Ry7cgzvfD2tM6YEmKTejTeL0f+i/Qi2j5Fd9d76/y66duPB5/4dCIaHjR8Do0tsy7ucHDCt9oeOeCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T08:43:58.082087Z"},"content_sha256":"b09c07f78497edd9e658d2ee0b1e9eb84e8c954f4db68a9a336f6545c2be74df","schema_version":"1.0","event_id":"sha256:b09c07f78497edd9e658d2ee0b1e9eb84e8c954f4db68a9a336f6545c2be74df"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YQPT6TETEO2GH4ZBPXB6M54BDN/bundle.json","state_url":"https://pith.science/pith/YQPT6TETEO2GH4ZBPXB6M54BDN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YQPT6TETEO2GH4ZBPXB6M54BDN/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":"2026-08-10T08:43:58Z","links":{"resolver":"https://pith.science/pith/YQPT6TETEO2GH4ZBPXB6M54BDN","bundle":"https://pith.science/pith/YQPT6TETEO2GH4ZBPXB6M54BDN/bundle.json","state":"https://pith.science/pith/YQPT6TETEO2GH4ZBPXB6M54BDN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YQPT6TETEO2GH4ZBPXB6M54BDN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:YQPT6TETEO2GH4ZBPXB6M54BDN","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":"1ae2426628dba20623de3bbe8e3ef62df5e57f5c404149ab84a3fe2c6504df2d","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T18:32:01Z","title_canon_sha256":"5a74562056a2affb8036030bbf78b526cc143a6c844a64df114fa9bcc13703f5"},"schema_version":"1.0","source":{"id":"2507.17859","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.17859","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"arxiv_version","alias_value":"2507.17859v1","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.17859","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"pith_short_12","alias_value":"YQPT6TETEO2G","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"pith_short_16","alias_value":"YQPT6TETEO2GH4ZB","created_at":"2026-07-05T11:42:36Z"},{"alias_kind":"pith_short_8","alias_value":"YQPT6TET","created_at":"2026-07-05T11:42:36Z"}],"graph_snapshots":[{"event_id":"sha256:b09c07f78497edd9e658d2ee0b1e9eb84e8c954f4db68a9a336f6545c2be74df","target":"graph","created_at":"2026-07-05T11:42:36Z","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/2507.17859/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate fish detection in underwater imagery is essential for ecological monitoring, aquaculture automation, and robotic perception. However, practical deployment remains limited by fragmented datasets, heterogeneous imaging conditions, and inconsistent evaluation protocols. To address these gaps, we present \\textit{FishDet-M}, the largest unified benchmark for fish detection, comprising 13 publicly available datasets spanning diverse aquatic environments including marine, brackish, occluded, and aquarium scenes. All data are harmonized using COCO-style annotations with both bounding boxes an","authors_text":"Irfan Hussain, Lyes Saad Saoud, Muayad Abujabal","cross_cats":["cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T18:32:01Z","title":"FishDet-M: A Unified Large-Scale Benchmark for Robust Fish Detection and CLIP-Guided Model Selection in Diverse Aquatic Visual Domains"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.17859","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":"sha256:9caff865fcb9e8b2c0720093baec89dfdf13abfc37920ebefe27e3717bc6683c","target":"record","created_at":"2026-07-05T11:42:36Z","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":"1ae2426628dba20623de3bbe8e3ef62df5e57f5c404149ab84a3fe2c6504df2d","cross_cats_sorted":["cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-07-23T18:32:01Z","title_canon_sha256":"5a74562056a2affb8036030bbf78b526cc143a6c844a64df114fa9bcc13703f5"},"schema_version":"1.0","source":{"id":"2507.17859","kind":"arxiv","version":1}},"canonical_sha256":"c41f3f4c9323b463f3217dc3e677811b75bb73f542a16693f021bf03d2d24168","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c41f3f4c9323b463f3217dc3e677811b75bb73f542a16693f021bf03d2d24168","first_computed_at":"2026-07-05T11:42:36.428802Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:42:36.428802Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UTYqrxI6psN69u309i+8BS6Mpz5wXSLUHC46Q6n93BsRsTduexw0V/cU2D1g8sC9wNLczweMXUHtkihyt7ybDw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:42:36.429282Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.17859","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9caff865fcb9e8b2c0720093baec89dfdf13abfc37920ebefe27e3717bc6683c","sha256:b09c07f78497edd9e658d2ee0b1e9eb84e8c954f4db68a9a336f6545c2be74df"],"state_sha256":"bdcb558b5388f3be91fb137690a6096f61e46bdf108bee3c5c4501a6c86d6f67"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8Y3Dk8i/NRP882alUpr4i+kTpCh6ah7NhNSw+dblFFwQWzmdllLDU2QvV1G9bIrRX/VOeQEqd7/XUy3oK5ERDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T08:43:58.085919Z","bundle_sha256":"a6a280f6f6faa1b8eadf3721c61f756e28480345eece4999a1a49c4bb0d2a171"}}