{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:YNF2GRXGZHOQJN7VY3LI7E5MLP","short_pith_number":"pith:YNF2GRXG","canonical_record":{"source":{"id":"2607.15517","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T00:04:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9290e41575c4f6eee3bd76704619f756a4c9a05c48537eccf884277853225cd8","abstract_canon_sha256":"bffef4680a1bdbb39a4e70f5d927f19708a4e8f3155efabe688db2f733abae44"},"schema_version":"1.0"},"canonical_sha256":"c34ba346e6c9dd04b7f5c6d68f93ac5bdbb224807866797f93ce82777acaec29","source":{"kind":"arxiv","id":"2607.15517","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15517","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15517v1","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15517","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"pith_short_12","alias_value":"YNF2GRXGZHOQ","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"pith_short_16","alias_value":"YNF2GRXGZHOQJN7V","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"pith_short_8","alias_value":"YNF2GRXG","created_at":"2026-07-20T00:18:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:YNF2GRXGZHOQJN7VY3LI7E5MLP","target":"record","payload":{"canonical_record":{"source":{"id":"2607.15517","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T00:04:53Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9290e41575c4f6eee3bd76704619f756a4c9a05c48537eccf884277853225cd8","abstract_canon_sha256":"bffef4680a1bdbb39a4e70f5d927f19708a4e8f3155efabe688db2f733abae44"},"schema_version":"1.0"},"canonical_sha256":"c34ba346e6c9dd04b7f5c6d68f93ac5bdbb224807866797f93ce82777acaec29","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-20T00:18:37.959402Z","signature_b64":"r/Dmlfdx17Nx/cKDObc1cdQiIAd9CkDlVrtQYUQNpTiDQIsx6HUsv+qvMZp1gBEyNukXJI5RyQXHifzl3lEmAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c34ba346e6c9dd04b7f5c6d68f93ac5bdbb224807866797f93ce82777acaec29","last_reissued_at":"2026-07-20T00:18:37.958513Z","signature_status":"signed_v1","first_computed_at":"2026-07-20T00:18:37.958513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.15517","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":"2026-07-20T00:18:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jwCc4x7mP4ew/V8dB5UPQ0u9WTL3dvRt8d6Ckt7eRwfM4DnI9kwkfq4Leia1WxRX86xsfGO17JXILKWkZkfYAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:58:59.468441Z"},"content_sha256":"c0ff46c13eff10de3eb90c3d47ff166b3e71cc1d722f79366f50e0127f608e98","schema_version":"1.0","event_id":"sha256:c0ff46c13eff10de3eb90c3d47ff166b3e71cc1d722f79366f50e0127f608e98"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:YNF2GRXGZHOQJN7VY3LI7E5MLP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SLAPBench: Benchmarking Multimodal Large Language Models for Four-Finger SLAP Fingerprint Verification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Bibesh Pyakurel, M. G. Sarwar Murshed","submitted_at":"2026-07-17T00:04:53Z","abstract_excerpt":"Four-finger SLAP fingerprints are flat live-scan impressions of the index, middle, ring, and little fingers of one hand, used for identity verification in border control and law enforcement. No benchmark has evaluated whether multimodal large language models (MLLMs) can verify identity from SLAP images. We introduce SLAPBench, the first benchmark for MLLM-based four-finger SLAP fingerprint verification, built from NIST SD302b with 7,832 pairs (176 mated, 7,656 non-mated). We evaluate four open-source MLLMs (InternVL3-8B, Qwen2.5-VL-7B, Qwen3-VL-8B, Gemma-3-12B) and the proprietary Claude Opus "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15517","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/2607.15517/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":"2026-07-20T00:18:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"OngC41i+87sVRxH5B5lO2fUg1J6wpp76KQSYQSTNpWniC8K6o0Rqkc5GgKQLEusFITOzj5z464umTA9PQfvyAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:58:59.469393Z"},"content_sha256":"3cd18396061c9a154acaa3e7e839abce6bd4e4f5423a196d6a030c178013490a","schema_version":"1.0","event_id":"sha256:3cd18396061c9a154acaa3e7e839abce6bd4e4f5423a196d6a030c178013490a"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:YNF2GRXGZHOQJN7VY3LI7E5MLP","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1109/TBIOM.2024.3506926) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Murshed, M.G.S., Bahmani, K., Schuckers, S., Hussain, F.: Deep age-invariant fingerprint segmentation system. IEEE Transactions on Biometrics, Behavior, and Identity Science7(3), 313–330 (2025).https://doi.org/10.1109/TBIOM.2024. 3506926","arxiv_id":"2607.15517","detector":"doi_compliance","evidence":{"ref_index":7,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1109/tbiom.2024","reconstructed_doi":"10.1109/TBIOM.2024.3506926"},"severity":"advisory","ref_index":7,"audited_at":"2026-08-01T23:20:33.920084Z","event_type":"pith.integrity.v1","detected_doi":"10.1109/TBIOM.2024.3506926","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"9ce4aa237ce410b5f451d68bd3de301127544f64623e1001ac706a079e945746","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16823,"payload_sha256":"a78c589697795d87a9036e70aeafa60610eeba50e4d93a5f00b9f25f3dc50d3e","signature_b64":"BfAZMiHfGQOMBNcyKQQ3rZ0erA5nvSfyKee1UDkjPjyA9gED+g6mrXITchYjoESX6v1bdPW4c6K3HGkGeTh8CQ==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-01T23:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lmdAHzBY3elVsB9rglfHukx77u42iEOYtwJDjbmbtMHYfDJaNT4KGxFt4KtpAO4rvt5Kh4XhgVfPl2EWT1eoDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:58:59.473883Z"},"content_sha256":"7904ab3310a88f33ae031994f1c8d9f31840a335c2fbb7f886706d788c307aa0","schema_version":"1.0","event_id":"sha256:7904ab3310a88f33ae031994f1c8d9f31840a335c2fbb7f886706d788c307aa0"},{"event_type":"integrity_finding","subject_pith_number":"pith:2026:YNF2GRXGZHOQJN7VY3LI7E5MLP","target":"integrity","payload":{"note":"DOI in the printed bibliography is fragmented by whitespace or line breaks. A longer candidate (10.1007/978-3-030-83624-5) was visible in the surrounding text but could not be confirmed against doi.org as printed.","snippet":"Maltoni, D., Maio, D., Jain, A.K., Feng, J.: Handbook of Fingerprint Recognition. Springer, Cham, 3rd edn. (2022).https://doi.org/10.1007/978-3-030-83624- 5,https://doi.org/10.1007/978-3-030-83624-5","arxiv_id":"2607.15517","detector":"doi_compliance","evidence":{"ref_index":6,"verdict_class":"incontrovertible","resolved_title":null,"printed_excerpt":"10.1007/978-3-030-83624-","reconstructed_doi":"10.1007/978-3-030-83624-5"},"severity":"advisory","ref_index":6,"audited_at":"2026-08-01T23:20:33.920084Z","event_type":"pith.integrity.v1","detected_doi":"10.1007/978-3-030-83624-5","detector_url":"https://pith.science/pith-integrity-protocol#doi_compliance","external_url":null,"finding_type":"recoverable_identifier","evidence_hash":"370eb401e0c70283c8cb1c98570bad15c62719f40eec6f8475b6bb38a8fb8bab","paper_version":1,"verdict_class":"incontrovertible","resolved_title":null,"detector_version":"1.1.0","detected_arxiv_id":null,"integrity_event_id":16822,"payload_sha256":"4a0c2ea8660611a697093f36be87c04b27d78cf531d1e6cee579e33f5e64dcb8","signature_b64":"A/qsN1VvSNZ7Va7fbhpnSzV5uHIY6nOwwu3OJmjhLne0vAwBx1yjEnOTsdZy90O1rjysCnRlVQl6LhqNPeRaDw==","signing_key_id":"pith-v1-2026-05"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-08-01T23:23:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ldeh+12NsvfKX5HwtPm+y8DEeNMMqh0nySqdcP+VoNlM9/MWZQSG5HZW+7YbTV45BWdJ90x6oTN+zWxpujykAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T03:58:59.474369Z"},"content_sha256":"30b331fe5156b7d97e0874de44a69e40d14d22bc1efe046a56276db7ac040008","schema_version":"1.0","event_id":"sha256:30b331fe5156b7d97e0874de44a69e40d14d22bc1efe046a56276db7ac040008"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YNF2GRXGZHOQJN7VY3LI7E5MLP/bundle.json","state_url":"https://pith.science/pith/YNF2GRXGZHOQJN7VY3LI7E5MLP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YNF2GRXGZHOQJN7VY3LI7E5MLP/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":"2026-08-05T03:58:59Z","links":{"resolver":"https://pith.science/pith/YNF2GRXGZHOQJN7VY3LI7E5MLP","bundle":"https://pith.science/pith/YNF2GRXGZHOQJN7VY3LI7E5MLP/bundle.json","state":"https://pith.science/pith/YNF2GRXGZHOQJN7VY3LI7E5MLP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YNF2GRXGZHOQJN7VY3LI7E5MLP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:YNF2GRXGZHOQJN7VY3LI7E5MLP","merge_version":"pith-open-graph-merge-v1","event_count":4,"valid_event_count":4,"invalid_event_count":0,"equivocation_count":1,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"bffef4680a1bdbb39a4e70f5d927f19708a4e8f3155efabe688db2f733abae44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T00:04:53Z","title_canon_sha256":"9290e41575c4f6eee3bd76704619f756a4c9a05c48537eccf884277853225cd8"},"schema_version":"1.0","source":{"id":"2607.15517","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.15517","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"arxiv_version","alias_value":"2607.15517v1","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.15517","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"pith_short_12","alias_value":"YNF2GRXGZHOQ","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"pith_short_16","alias_value":"YNF2GRXGZHOQJN7V","created_at":"2026-07-20T00:18:37Z"},{"alias_kind":"pith_short_8","alias_value":"YNF2GRXG","created_at":"2026-07-20T00:18:37Z"}],"graph_snapshots":[{"event_id":"sha256:3cd18396061c9a154acaa3e7e839abce6bd4e4f5423a196d6a030c178013490a","target":"graph","created_at":"2026-07-20T00:18:37Z","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/2607.15517/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Four-finger SLAP fingerprints are flat live-scan impressions of the index, middle, ring, and little fingers of one hand, used for identity verification in border control and law enforcement. No benchmark has evaluated whether multimodal large language models (MLLMs) can verify identity from SLAP images. We introduce SLAPBench, the first benchmark for MLLM-based four-finger SLAP fingerprint verification, built from NIST SD302b with 7,832 pairs (176 mated, 7,656 non-mated). We evaluate four open-source MLLMs (InternVL3-8B, Qwen2.5-VL-7B, Qwen3-VL-8B, Gemma-3-12B) and the proprietary Claude Opus ","authors_text":"Bibesh Pyakurel, M. G. Sarwar Murshed","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T00:04:53Z","title":"SLAPBench: Benchmarking Multimodal Large Language Models for Four-Finger SLAP Fingerprint Verification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.15517","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:c0ff46c13eff10de3eb90c3d47ff166b3e71cc1d722f79366f50e0127f608e98","target":"record","created_at":"2026-07-20T00:18:37Z","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":"bffef4680a1bdbb39a4e70f5d927f19708a4e8f3155efabe688db2f733abae44","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-17T00:04:53Z","title_canon_sha256":"9290e41575c4f6eee3bd76704619f756a4c9a05c48537eccf884277853225cd8"},"schema_version":"1.0","source":{"id":"2607.15517","kind":"arxiv","version":1}},"canonical_sha256":"c34ba346e6c9dd04b7f5c6d68f93ac5bdbb224807866797f93ce82777acaec29","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c34ba346e6c9dd04b7f5c6d68f93ac5bdbb224807866797f93ce82777acaec29","first_computed_at":"2026-07-20T00:18:37.958513Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-20T00:18:37.958513Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"r/Dmlfdx17Nx/cKDObc1cdQiIAd9CkDlVrtQYUQNpTiDQIsx6HUsv+qvMZp1gBEyNukXJI5RyQXHifzl3lEmAQ==","signature_status":"signed_v1","signed_at":"2026-07-20T00:18:37.959402Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.15517","source_kind":"arxiv","source_version":1}}},"equivocations":[{"signer_id":"pith.science","event_type":"integrity_finding","target":"integrity","event_ids":["sha256:30b331fe5156b7d97e0874de44a69e40d14d22bc1efe046a56276db7ac040008","sha256:7904ab3310a88f33ae031994f1c8d9f31840a335c2fbb7f886706d788c307aa0"]}],"invalid_events":[],"applied_event_ids":["sha256:c0ff46c13eff10de3eb90c3d47ff166b3e71cc1d722f79366f50e0127f608e98","sha256:3cd18396061c9a154acaa3e7e839abce6bd4e4f5423a196d6a030c178013490a"],"state_sha256":"0b9532cab1b54078c4b9000fa3c9e08fe48cce6c055582e94a4c017d61ad35b5"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QW1xM3sAhRju6M45CFNs4diiRnXtHv8KEFDEQdvN5gsEn/C4CjDpZb35DfwHYRenjZKRF2V5suADl338ijYoBg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T03:58:59.477764Z","bundle_sha256":"59f10277418cc6c4bc4dc079d3dc1fe285052ed3b6d541e25bf4d3b0511a7d69"}}