{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VV7JEQCDR64EYTSEJT2W3VSICU","short_pith_number":"pith:VV7JEQCD","canonical_record":{"source":{"id":"2506.21451","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T16:33:49Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ebc1b8ba0f13ebbbf9fdbc6de6f109733d63bafb319f632d9e2d5c1c0b7cd2a1","abstract_canon_sha256":"b16352c566fa788193e0dbbdb944b1a6c0b8217f36c7a2be6b42b90626e09226"},"schema_version":"1.0"},"canonical_sha256":"ad7e9240438fb84c4e444cf56dd648152ecdb950a7986c98acbb75941891af07","source":{"kind":"arxiv","id":"2506.21451","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21451","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21451v1","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21451","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_12","alias_value":"VV7JEQCDR64E","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"VV7JEQCDR64EYTSE","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"VV7JEQCD","created_at":"2026-07-05T11:27:46Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VV7JEQCDR64EYTSEJT2W3VSICU","target":"record","payload":{"canonical_record":{"source":{"id":"2506.21451","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T16:33:49Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"ebc1b8ba0f13ebbbf9fdbc6de6f109733d63bafb319f632d9e2d5c1c0b7cd2a1","abstract_canon_sha256":"b16352c566fa788193e0dbbdb944b1a6c0b8217f36c7a2be6b42b90626e09226"},"schema_version":"1.0"},"canonical_sha256":"ad7e9240438fb84c4e444cf56dd648152ecdb950a7986c98acbb75941891af07","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:27:46.097389Z","signature_b64":"VI2nOqt7HulflX0X7vVK7HcT7iPtMYzrdEGpwlXEQ7FR1VMeEUSxpE+aharmr+CO5qhEALGasedNu0YFax/XAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad7e9240438fb84c4e444cf56dd648152ecdb950a7986c98acbb75941891af07","last_reissued_at":"2026-07-05T11:27:46.096842Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:27:46.096842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.21451","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":"2026-07-05T11:27:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"o3tqFj0kZ1911VtHGqWr+UoTFaGg3zfixXX/x17tkLgKDL6b43QQnzHJny+WUdMklQKydinjr6QYxOMGuLwqAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:20:41.205048Z"},"content_sha256":"c01ca42cc4d6fb1cebd01bf1d77a7bebecfec24b0a185749e6c8fac7b383385e","schema_version":"1.0","event_id":"sha256:c01ca42cc4d6fb1cebd01bf1d77a7bebecfec24b0a185749e6c8fac7b383385e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VV7JEQCDR64EYTSEJT2W3VSICU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Comprehensive Dataset for Underground Miner Detection in Diverse Scenario","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Ajay Kumar Gurumadaiah, Cyrus Addy, Kwame Awuah-Offei, Yixiang Gao","submitted_at":"2025-06-26T16:33:49Z","abstract_excerpt":"Underground mining operations face significant safety challenges that make emergency response capabilities crucial. While robots have shown promise in assisting with search and rescue operations, their effectiveness depends on reliable miner detection capabilities. Deep learning algorithms offer potential solutions for automated miner detection, but require comprehensive training datasets, which are currently lacking for underground mining environments. This paper presents a novel thermal imaging dataset specifically designed to enable the development and validation of miner detection systems "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21451","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/2506.21451/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":"2026-07-05T11:27:46Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VxtwSc6XDeDhkUMZrft4Tf/c5Y7RFclbXn6iFGHjdCJOMPqMrMwPRUSq8N3SjJtU2MgQqJed5VT70I9uBNE5AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:20:41.205578Z"},"content_sha256":"107ba69209c667c25da0e5a80210826e748f99d944bcdb861b3c989728f76a45","schema_version":"1.0","event_id":"sha256:107ba69209c667c25da0e5a80210826e748f99d944bcdb861b3c989728f76a45"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VV7JEQCDR64EYTSEJT2W3VSICU/bundle.json","state_url":"https://pith.science/pith/VV7JEQCDR64EYTSEJT2W3VSICU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VV7JEQCDR64EYTSEJT2W3VSICU/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":"2026-08-07T06:20:41Z","links":{"resolver":"https://pith.science/pith/VV7JEQCDR64EYTSEJT2W3VSICU","bundle":"https://pith.science/pith/VV7JEQCDR64EYTSEJT2W3VSICU/bundle.json","state":"https://pith.science/pith/VV7JEQCDR64EYTSEJT2W3VSICU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VV7JEQCDR64EYTSEJT2W3VSICU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VV7JEQCDR64EYTSEJT2W3VSICU","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":"b16352c566fa788193e0dbbdb944b1a6c0b8217f36c7a2be6b42b90626e09226","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T16:33:49Z","title_canon_sha256":"ebc1b8ba0f13ebbbf9fdbc6de6f109733d63bafb319f632d9e2d5c1c0b7cd2a1"},"schema_version":"1.0","source":{"id":"2506.21451","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.21451","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"arxiv_version","alias_value":"2506.21451v1","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.21451","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_12","alias_value":"VV7JEQCDR64E","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_16","alias_value":"VV7JEQCDR64EYTSE","created_at":"2026-07-05T11:27:46Z"},{"alias_kind":"pith_short_8","alias_value":"VV7JEQCD","created_at":"2026-07-05T11:27:46Z"}],"graph_snapshots":[{"event_id":"sha256:107ba69209c667c25da0e5a80210826e748f99d944bcdb861b3c989728f76a45","target":"graph","created_at":"2026-07-05T11:27:46Z","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/2506.21451/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Underground mining operations face significant safety challenges that make emergency response capabilities crucial. While robots have shown promise in assisting with search and rescue operations, their effectiveness depends on reliable miner detection capabilities. Deep learning algorithms offer potential solutions for automated miner detection, but require comprehensive training datasets, which are currently lacking for underground mining environments. This paper presents a novel thermal imaging dataset specifically designed to enable the development and validation of miner detection systems ","authors_text":"Ajay Kumar Gurumadaiah, Cyrus Addy, Kwame Awuah-Offei, Yixiang Gao","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T16:33:49Z","title":"A Comprehensive Dataset for Underground Miner Detection in Diverse Scenario"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.21451","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:c01ca42cc4d6fb1cebd01bf1d77a7bebecfec24b0a185749e6c8fac7b383385e","target":"record","created_at":"2026-07-05T11:27:46Z","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":"b16352c566fa788193e0dbbdb944b1a6c0b8217f36c7a2be6b42b90626e09226","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-26T16:33:49Z","title_canon_sha256":"ebc1b8ba0f13ebbbf9fdbc6de6f109733d63bafb319f632d9e2d5c1c0b7cd2a1"},"schema_version":"1.0","source":{"id":"2506.21451","kind":"arxiv","version":1}},"canonical_sha256":"ad7e9240438fb84c4e444cf56dd648152ecdb950a7986c98acbb75941891af07","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad7e9240438fb84c4e444cf56dd648152ecdb950a7986c98acbb75941891af07","first_computed_at":"2026-07-05T11:27:46.096842Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:27:46.096842Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VI2nOqt7HulflX0X7vVK7HcT7iPtMYzrdEGpwlXEQ7FR1VMeEUSxpE+aharmr+CO5qhEALGasedNu0YFax/XAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:27:46.097389Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.21451","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c01ca42cc4d6fb1cebd01bf1d77a7bebecfec24b0a185749e6c8fac7b383385e","sha256:107ba69209c667c25da0e5a80210826e748f99d944bcdb861b3c989728f76a45"],"state_sha256":"3141c8978b2385f885f7b1ccc5325dbd453f5d0de87132573cee7c98126f043c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gRMSrJj/TnCJL6xyE5X+xu+Kt5Xooq1qWtd1r3pltF5mYbdcpHL+qgvPGCuq17UZSvz4GtA9JDwdxEs5f0oPCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:20:41.209681Z","bundle_sha256":"8df85fc57a830f92460dfe9272549ab8c608ebfedbbc5c6491e323b0d89db646"}}