{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:GLURPEJZBEQSKOIBMCWYZR5SD4","short_pith_number":"pith:GLURPEJZ","canonical_record":{"source":{"id":"1702.03000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T22:06:04Z","cross_cats_sorted":[],"title_canon_sha256":"ccf033012021c7fe8eb61c2c2ad7896df634b963b6affbaf40cc1d5c19c22171","abstract_canon_sha256":"3f480435a915535999dfff46195964a73cdd619186b85b63c76bad0ee64dfbee"},"schema_version":"1.0"},"canonical_sha256":"32e9179139092125390160ad8cc7b21f1d311ed44a7592f6065f7bf102fbf15b","source":{"kind":"arxiv","id":"1702.03000","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.03000","created_at":"2026-05-18T00:23:40Z"},{"alias_kind":"arxiv_version","alias_value":"1702.03000v1","created_at":"2026-05-18T00:23:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.03000","created_at":"2026-05-18T00:23:40Z"},{"alias_kind":"pith_short_12","alias_value":"GLURPEJZBEQS","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GLURPEJZBEQSKOIB","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GLURPEJZ","created_at":"2026-05-18T12:31:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:GLURPEJZBEQSKOIBMCWYZR5SD4","target":"record","payload":{"canonical_record":{"source":{"id":"1702.03000","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T22:06:04Z","cross_cats_sorted":[],"title_canon_sha256":"ccf033012021c7fe8eb61c2c2ad7896df634b963b6affbaf40cc1d5c19c22171","abstract_canon_sha256":"3f480435a915535999dfff46195964a73cdd619186b85b63c76bad0ee64dfbee"},"schema_version":"1.0"},"canonical_sha256":"32e9179139092125390160ad8cc7b21f1d311ed44a7592f6065f7bf102fbf15b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:23:40.087503Z","signature_b64":"Ev5dYHOS2SLtnDGKxzOzjmYJkAfgoAIROaJL85Rg++cT5MKQ2r1k/bA4OaDt5Mj7RwLGYgmo+Koks2Y9im06DA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32e9179139092125390160ad8cc7b21f1d311ed44a7592f6065f7bf102fbf15b","last_reissued_at":"2026-05-18T00:23:40.086800Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:23:40.086800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.03000","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":"2026-05-18T00:23:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"JLFi9rp0X8hI/zuUh7Hq6QANBzp6iuxrHyxliTXvjRMrq2HvCrCQV+8U3sXpaNL+J0luEEPujIrvmiw6THVUBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:35:32.854533Z"},"content_sha256":"bd2d39cd0fa011ef5051d5e0cb86d10f1555d8e81347979ee692a962b03d704e","schema_version":"1.0","event_id":"sha256:bd2d39cd0fa011ef5051d5e0cb86d10f1555d8e81347979ee692a962b03d704e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:GLURPEJZBEQSKOIBMCWYZR5SD4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jordan M. Malof, Joseph A. Camilo, Leslie M. Collins","submitted_at":"2017-02-09T22:06:04Z","abstract_excerpt":"Forward-looking ground-penetrating radar (FLGPR) has recently been investigated as a remote sensing modality for buried target detection (e.g., landmines). In this context, raw FLGPR data is beamformed into images and then computerized algorithms are applied to automatically detect subsurface buried targets. Most existing algorithms are supervised, meaning they are trained to discriminate between labeled target and non-target imagery, usually based on features extracted from the imagery. A large number of features have been proposed for this purpose, however thus far it is unclear which are th"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.03000","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":""},"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":"2026-05-18T00:23:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"T5Bjz9XVMgtnn6rs2LpMdPyOxs/BOBK3IdK2i1BQrm6v31q/1aO/+IVWDy1dCZHaAhkcIyn3DnDgF8Br1MD2DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-12T09:35:32.854888Z"},"content_sha256":"8fef856cc658ae4958bc89b8462d6bd5c90597034d3aa683acc1625ae98b5c85","schema_version":"1.0","event_id":"sha256:8fef856cc658ae4958bc89b8462d6bd5c90597034d3aa683acc1625ae98b5c85"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GLURPEJZBEQSKOIBMCWYZR5SD4/bundle.json","state_url":"https://pith.science/pith/GLURPEJZBEQSKOIBMCWYZR5SD4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GLURPEJZBEQSKOIBMCWYZR5SD4/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":"2026-06-12T09:35:32Z","links":{"resolver":"https://pith.science/pith/GLURPEJZBEQSKOIBMCWYZR5SD4","bundle":"https://pith.science/pith/GLURPEJZBEQSKOIBMCWYZR5SD4/bundle.json","state":"https://pith.science/pith/GLURPEJZBEQSKOIBMCWYZR5SD4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GLURPEJZBEQSKOIBMCWYZR5SD4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:GLURPEJZBEQSKOIBMCWYZR5SD4","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":"3f480435a915535999dfff46195964a73cdd619186b85b63c76bad0ee64dfbee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T22:06:04Z","title_canon_sha256":"ccf033012021c7fe8eb61c2c2ad7896df634b963b6affbaf40cc1d5c19c22171"},"schema_version":"1.0","source":{"id":"1702.03000","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.03000","created_at":"2026-05-18T00:23:40Z"},{"alias_kind":"arxiv_version","alias_value":"1702.03000v1","created_at":"2026-05-18T00:23:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.03000","created_at":"2026-05-18T00:23:40Z"},{"alias_kind":"pith_short_12","alias_value":"GLURPEJZBEQS","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_16","alias_value":"GLURPEJZBEQSKOIB","created_at":"2026-05-18T12:31:18Z"},{"alias_kind":"pith_short_8","alias_value":"GLURPEJZ","created_at":"2026-05-18T12:31:18Z"}],"graph_snapshots":[{"event_id":"sha256:8fef856cc658ae4958bc89b8462d6bd5c90597034d3aa683acc1625ae98b5c85","target":"graph","created_at":"2026-05-18T00:23:40Z","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"},"paper":{"abstract_excerpt":"Forward-looking ground-penetrating radar (FLGPR) has recently been investigated as a remote sensing modality for buried target detection (e.g., landmines). In this context, raw FLGPR data is beamformed into images and then computerized algorithms are applied to automatically detect subsurface buried targets. Most existing algorithms are supervised, meaning they are trained to discriminate between labeled target and non-target imagery, usually based on features extracted from the imagery. A large number of features have been proposed for this purpose, however thus far it is unclear which are th","authors_text":"Jordan M. Malof, Joseph A. Camilo, Leslie M. Collins","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T22:06:04Z","title":"A large comparison of feature-based approaches for buried target classification in forward-looking ground-penetrating radar"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.03000","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:bd2d39cd0fa011ef5051d5e0cb86d10f1555d8e81347979ee692a962b03d704e","target":"record","created_at":"2026-05-18T00:23:40Z","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":"3f480435a915535999dfff46195964a73cdd619186b85b63c76bad0ee64dfbee","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-02-09T22:06:04Z","title_canon_sha256":"ccf033012021c7fe8eb61c2c2ad7896df634b963b6affbaf40cc1d5c19c22171"},"schema_version":"1.0","source":{"id":"1702.03000","kind":"arxiv","version":1}},"canonical_sha256":"32e9179139092125390160ad8cc7b21f1d311ed44a7592f6065f7bf102fbf15b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32e9179139092125390160ad8cc7b21f1d311ed44a7592f6065f7bf102fbf15b","first_computed_at":"2026-05-18T00:23:40.086800Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:23:40.086800Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Ev5dYHOS2SLtnDGKxzOzjmYJkAfgoAIROaJL85Rg++cT5MKQ2r1k/bA4OaDt5Mj7RwLGYgmo+Koks2Y9im06DA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:23:40.087503Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.03000","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bd2d39cd0fa011ef5051d5e0cb86d10f1555d8e81347979ee692a962b03d704e","sha256:8fef856cc658ae4958bc89b8462d6bd5c90597034d3aa683acc1625ae98b5c85"],"state_sha256":"f5e715322a0ae754df4a5d87ca79807b41ddc852a25dac5406f3c9f0378fcf01"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"afY1/XvKYPPjV2uIs4jh/rKN0WUrArO+q00paO0gvONmS0cC+0mKjPBOWa1yglUbXcjCmTD1DVANpj4MEumgDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-12T09:35:32.856909Z","bundle_sha256":"6d3826544f4db9a95e08d031ab0df7c1abe5a3894632273e8b2ed8754b81bce8"}}