{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:DSD3BKHTLY6AUF7NQAQQJIXBLE","short_pith_number":"pith:DSD3BKHT","canonical_record":{"source":{"id":"2509.06660","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T13:19:04Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"2dd868c807c32ffa9456bd97a1817aa56ce7e8494ddba7cc9bc21641db4e53a5","abstract_canon_sha256":"148c2b6a616dc85be184eb698b8c76b2c7a04de8837cdf349564c435948fd457"},"schema_version":"1.0"},"canonical_sha256":"1c87b0a8f35e3c0a17ed802104a2e1593278db4c420a9cf091cfc2339da645c5","source":{"kind":"arxiv","id":"2509.06660","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.06660","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"arxiv_version","alias_value":"2509.06660v1","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.06660","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"pith_short_12","alias_value":"DSD3BKHTLY6A","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"pith_short_16","alias_value":"DSD3BKHTLY6AUF7N","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"pith_short_8","alias_value":"DSD3BKHT","created_at":"2026-07-05T12:06:39Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:DSD3BKHTLY6AUF7NQAQQJIXBLE","target":"record","payload":{"canonical_record":{"source":{"id":"2509.06660","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T13:19:04Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"2dd868c807c32ffa9456bd97a1817aa56ce7e8494ddba7cc9bc21641db4e53a5","abstract_canon_sha256":"148c2b6a616dc85be184eb698b8c76b2c7a04de8837cdf349564c435948fd457"},"schema_version":"1.0"},"canonical_sha256":"1c87b0a8f35e3c0a17ed802104a2e1593278db4c420a9cf091cfc2339da645c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:06:39.863808Z","signature_b64":"Zo6hOdnB39dCSqctiIg2/v3BuVDvMalN07BDI8duWprCD0m2bjJ74Iva351UbF2eeOzO2S4fSCkmT/Ly+8r3AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1c87b0a8f35e3c0a17ed802104a2e1593278db4c420a9cf091cfc2339da645c5","last_reissued_at":"2026-07-05T12:06:39.863467Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:06:39.863467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2509.06660","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":"2026-07-05T12:06:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8wKnJkgTFftjnZpxhdzskdCzCslxarEwZvn5yBKS/zjuxWlwa/6irB8O8TBZ6jWgtxAW6fR/NQn7CkUpkMH8Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T20:13:45.046487Z"},"content_sha256":"8b022bd146e00bcdc85c50671cd8cf5d16b79c079494b67131e470b09b4436fd","schema_version":"1.0","event_id":"sha256:8b022bd146e00bcdc85c50671cd8cf5d16b79c079494b67131e470b09b4436fd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:DSD3BKHTLY6AUF7NQAQQJIXBLE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Investigating Location-Regularised Self-Supervised Feature Learning for Seafloor Visual Imagery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Adam Riese, Adrian Bodenmann, Blair Thornton, Cailei Liang, Emma J Curtis, Kazunori Nagano, Samuel Simmons, Stan Brown","submitted_at":"2025-09-08T13:19:04Z","abstract_excerpt":"High-throughput interpretation of robotically gathered seafloor visual imagery can increase the efficiency of marine monitoring and exploration. Although recent research has suggested that location metadata can enhance self-supervised feature learning (SSL), its benefits across different SSL strategies, models and seafloor image datasets are underexplored. This study evaluates the impact of location-based regularisation on six state-of-the-art SSL frameworks, which include Convolutional Neural Network (CNN) and Vision Transformer (ViT) models with varying latent-space dimensionality. Evaluatio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.06660","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/2509.06660/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":"2026-07-05T12:06:39Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"G8FnrsGf+yuXKey3Ld3dRjz0I6xYgwMk3kaaJSKMVzwjhMAfd6xA5IS7s4HYNmlGGSfIBeu/AaCzcjUzopEwDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T20:13:45.047042Z"},"content_sha256":"dda8e6082fbc6dd2385339b61d3211c237a516c27f0a998b84c930e8a3e199aa","schema_version":"1.0","event_id":"sha256:dda8e6082fbc6dd2385339b61d3211c237a516c27f0a998b84c930e8a3e199aa"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DSD3BKHTLY6AUF7NQAQQJIXBLE/bundle.json","state_url":"https://pith.science/pith/DSD3BKHTLY6AUF7NQAQQJIXBLE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DSD3BKHTLY6AUF7NQAQQJIXBLE/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":"2026-08-12T20:13:45Z","links":{"resolver":"https://pith.science/pith/DSD3BKHTLY6AUF7NQAQQJIXBLE","bundle":"https://pith.science/pith/DSD3BKHTLY6AUF7NQAQQJIXBLE/bundle.json","state":"https://pith.science/pith/DSD3BKHTLY6AUF7NQAQQJIXBLE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DSD3BKHTLY6AUF7NQAQQJIXBLE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:DSD3BKHTLY6AUF7NQAQQJIXBLE","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":"148c2b6a616dc85be184eb698b8c76b2c7a04de8837cdf349564c435948fd457","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T13:19:04Z","title_canon_sha256":"2dd868c807c32ffa9456bd97a1817aa56ce7e8494ddba7cc9bc21641db4e53a5"},"schema_version":"1.0","source":{"id":"2509.06660","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.06660","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"arxiv_version","alias_value":"2509.06660v1","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.06660","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"pith_short_12","alias_value":"DSD3BKHTLY6A","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"pith_short_16","alias_value":"DSD3BKHTLY6AUF7N","created_at":"2026-07-05T12:06:39Z"},{"alias_kind":"pith_short_8","alias_value":"DSD3BKHT","created_at":"2026-07-05T12:06:39Z"}],"graph_snapshots":[{"event_id":"sha256:dda8e6082fbc6dd2385339b61d3211c237a516c27f0a998b84c930e8a3e199aa","target":"graph","created_at":"2026-07-05T12:06:39Z","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/2509.06660/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-throughput interpretation of robotically gathered seafloor visual imagery can increase the efficiency of marine monitoring and exploration. Although recent research has suggested that location metadata can enhance self-supervised feature learning (SSL), its benefits across different SSL strategies, models and seafloor image datasets are underexplored. This study evaluates the impact of location-based regularisation on six state-of-the-art SSL frameworks, which include Convolutional Neural Network (CNN) and Vision Transformer (ViT) models with varying latent-space dimensionality. Evaluatio","authors_text":"Adam Riese, Adrian Bodenmann, Blair Thornton, Cailei Liang, Emma J Curtis, Kazunori Nagano, Samuel Simmons, Stan Brown","cross_cats":["cs.RO"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T13:19:04Z","title":"Investigating Location-Regularised Self-Supervised Feature Learning for Seafloor Visual Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.06660","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":"sha256:8b022bd146e00bcdc85c50671cd8cf5d16b79c079494b67131e470b09b4436fd","target":"record","created_at":"2026-07-05T12:06:39Z","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":"148c2b6a616dc85be184eb698b8c76b2c7a04de8837cdf349564c435948fd457","cross_cats_sorted":["cs.RO"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-09-08T13:19:04Z","title_canon_sha256":"2dd868c807c32ffa9456bd97a1817aa56ce7e8494ddba7cc9bc21641db4e53a5"},"schema_version":"1.0","source":{"id":"2509.06660","kind":"arxiv","version":1}},"canonical_sha256":"1c87b0a8f35e3c0a17ed802104a2e1593278db4c420a9cf091cfc2339da645c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1c87b0a8f35e3c0a17ed802104a2e1593278db4c420a9cf091cfc2339da645c5","first_computed_at":"2026-07-05T12:06:39.863467Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:06:39.863467Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Zo6hOdnB39dCSqctiIg2/v3BuVDvMalN07BDI8duWprCD0m2bjJ74Iva351UbF2eeOzO2S4fSCkmT/Ly+8r3AA==","signature_status":"signed_v1","signed_at":"2026-07-05T12:06:39.863808Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.06660","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8b022bd146e00bcdc85c50671cd8cf5d16b79c079494b67131e470b09b4436fd","sha256:dda8e6082fbc6dd2385339b61d3211c237a516c27f0a998b84c930e8a3e199aa"],"state_sha256":"f0b448977613268ff8c55d22263650d2ae9c6b5690e0bd0b18d2c0f7942cfa0c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yG4lIWajCn+/JZSTGSnE5EY1+RVGX7eMdUaJoCFzeC21Q7WXwYENUHwMr6/q438cpd1TlQGlQy3E7TJqt5DRAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T20:13:45.053194Z","bundle_sha256":"58627b3b8acdb4f2c3fd435234b7d69e1c1d19fb232d7c3603cc618eb490a628"}}