{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:I5CUG4Y3R5SMGTOFSDT4NLZWDP","short_pith_number":"pith:I5CUG4Y3","canonical_record":{"source":{"id":"2506.04619","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T04:25:22Z","cross_cats_sorted":[],"title_canon_sha256":"af2a84abb94da38a8fedfbb4c4470bff40fb41f285b5bd5aaff2093391616a41","abstract_canon_sha256":"52971754f985fb05b0fd62c6790423821a63b44368ccf9fd4be01089ff31fe98"},"schema_version":"1.0"},"canonical_sha256":"474543731b8f64c34dc590e7c6af361bfa5d892ef3a342118523499dd6326c7c","source":{"kind":"arxiv","id":"2506.04619","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04619","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04619v1","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04619","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"pith_short_12","alias_value":"I5CUG4Y3R5SM","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"pith_short_16","alias_value":"I5CUG4Y3R5SMGTOF","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"pith_short_8","alias_value":"I5CUG4Y3","created_at":"2026-07-05T11:16:17Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:I5CUG4Y3R5SMGTOFSDT4NLZWDP","target":"record","payload":{"canonical_record":{"source":{"id":"2506.04619","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T04:25:22Z","cross_cats_sorted":[],"title_canon_sha256":"af2a84abb94da38a8fedfbb4c4470bff40fb41f285b5bd5aaff2093391616a41","abstract_canon_sha256":"52971754f985fb05b0fd62c6790423821a63b44368ccf9fd4be01089ff31fe98"},"schema_version":"1.0"},"canonical_sha256":"474543731b8f64c34dc590e7c6af361bfa5d892ef3a342118523499dd6326c7c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:17.960154Z","signature_b64":"bBXeCfSbAIwrMcD8D0TlItb3hb5/A6tUalpwN/Wz/Wgjq59mRWWBnZO6qdoIFawpvD1n+zhcaOvrBRsKL0ZAAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"474543731b8f64c34dc590e7c6af361bfa5d892ef3a342118523499dd6326c7c","last_reissued_at":"2026-07-05T11:16:17.959635Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:17.959635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.04619","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":"2026-07-05T11:16:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"k6K25Q9N9J5Y0fubVBMI0sKZXWAe0qCutfhmjymGtlea0CFG4Q4lgkrAUPb84afjwZ9F968u36n2vPa+fN0SAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:45:38.256204Z"},"content_sha256":"500b909ad83b5b0999ba200e642335c6c9dd58c69995e254e022ae2ec36bbd3b","schema_version":"1.0","event_id":"sha256:500b909ad83b5b0999ba200e642335c6c9dd58c69995e254e022ae2ec36bbd3b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:I5CUG4Y3R5SMGTOFSDT4NLZWDP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Learning Reforms Image Matching: A Survey and Outlook","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiayi Ma, Kaining Zhang, Linfeng Tang, Shihua Zhang, Xingyu Jiang, Yifan Lu, Yuxin Deng, Zizhuo Li","submitted_at":"2025-06-05T04:25:22Z","abstract_excerpt":"Image matching, which establishes correspondences between two-view images to recover 3D structure and camera geometry, serves as a cornerstone in computer vision and underpins a wide range of applications, including visual localization, 3D reconstruction, and simultaneous localization and mapping (SLAM). Traditional pipelines composed of ``detector-descriptor, feature matcher, outlier filter, and geometric estimator'' falter in challenging scenarios. Recent deep-learning advances have significantly boosted both robustness and accuracy. This survey adopts a unique perspective by comprehensively"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04619","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/2506.04619/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":"2026-07-05T11:16:17Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ghOeWvrmuN+iqc0pJbWO2fcL/n/zJ2F190p2IMBrmc2E/w+CWRmYwS3jCMqYPEVc6UyUvZJ9JwAAgiIK1JuwAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T21:45:38.256739Z"},"content_sha256":"146761f857baff6dc060f4373fd0830dd8a71292158afb0a50e95b2747b0ac78","schema_version":"1.0","event_id":"sha256:146761f857baff6dc060f4373fd0830dd8a71292158afb0a50e95b2747b0ac78"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I5CUG4Y3R5SMGTOFSDT4NLZWDP/bundle.json","state_url":"https://pith.science/pith/I5CUG4Y3R5SMGTOFSDT4NLZWDP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I5CUG4Y3R5SMGTOFSDT4NLZWDP/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":"2026-08-05T21:45:38Z","links":{"resolver":"https://pith.science/pith/I5CUG4Y3R5SMGTOFSDT4NLZWDP","bundle":"https://pith.science/pith/I5CUG4Y3R5SMGTOFSDT4NLZWDP/bundle.json","state":"https://pith.science/pith/I5CUG4Y3R5SMGTOFSDT4NLZWDP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I5CUG4Y3R5SMGTOFSDT4NLZWDP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:I5CUG4Y3R5SMGTOFSDT4NLZWDP","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":"52971754f985fb05b0fd62c6790423821a63b44368ccf9fd4be01089ff31fe98","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T04:25:22Z","title_canon_sha256":"af2a84abb94da38a8fedfbb4c4470bff40fb41f285b5bd5aaff2093391616a41"},"schema_version":"1.0","source":{"id":"2506.04619","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.04619","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"arxiv_version","alias_value":"2506.04619v1","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.04619","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"pith_short_12","alias_value":"I5CUG4Y3R5SM","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"pith_short_16","alias_value":"I5CUG4Y3R5SMGTOF","created_at":"2026-07-05T11:16:17Z"},{"alias_kind":"pith_short_8","alias_value":"I5CUG4Y3","created_at":"2026-07-05T11:16:17Z"}],"graph_snapshots":[{"event_id":"sha256:146761f857baff6dc060f4373fd0830dd8a71292158afb0a50e95b2747b0ac78","target":"graph","created_at":"2026-07-05T11:16:17Z","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/2506.04619/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Image matching, which establishes correspondences between two-view images to recover 3D structure and camera geometry, serves as a cornerstone in computer vision and underpins a wide range of applications, including visual localization, 3D reconstruction, and simultaneous localization and mapping (SLAM). Traditional pipelines composed of ``detector-descriptor, feature matcher, outlier filter, and geometric estimator'' falter in challenging scenarios. Recent deep-learning advances have significantly boosted both robustness and accuracy. This survey adopts a unique perspective by comprehensively","authors_text":"Jiayi Ma, Kaining Zhang, Linfeng Tang, Shihua Zhang, Xingyu Jiang, Yifan Lu, Yuxin Deng, Zizhuo Li","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T04:25:22Z","title":"Deep Learning Reforms Image Matching: A Survey and Outlook"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.04619","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":"sha256:500b909ad83b5b0999ba200e642335c6c9dd58c69995e254e022ae2ec36bbd3b","target":"record","created_at":"2026-07-05T11:16:17Z","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":"52971754f985fb05b0fd62c6790423821a63b44368ccf9fd4be01089ff31fe98","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-06-05T04:25:22Z","title_canon_sha256":"af2a84abb94da38a8fedfbb4c4470bff40fb41f285b5bd5aaff2093391616a41"},"schema_version":"1.0","source":{"id":"2506.04619","kind":"arxiv","version":1}},"canonical_sha256":"474543731b8f64c34dc590e7c6af361bfa5d892ef3a342118523499dd6326c7c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"474543731b8f64c34dc590e7c6af361bfa5d892ef3a342118523499dd6326c7c","first_computed_at":"2026-07-05T11:16:17.959635Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:16:17.959635Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"bBXeCfSbAIwrMcD8D0TlItb3hb5/A6tUalpwN/Wz/Wgjq59mRWWBnZO6qdoIFawpvD1n+zhcaOvrBRsKL0ZAAw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:16:17.960154Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.04619","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:500b909ad83b5b0999ba200e642335c6c9dd58c69995e254e022ae2ec36bbd3b","sha256:146761f857baff6dc060f4373fd0830dd8a71292158afb0a50e95b2747b0ac78"],"state_sha256":"9d496e581532982ebc85fd4645eed18c315d0a17b5756728b0210ab4cc19d0c0"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"USDT/a9qfXXLDCFIH4+3nsu8w3butHajJjaED3SPUfwAZK2yNDjvjee35rng2YwHQdYShHHdlh5BCUcChuoKBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T21:45:38.260459Z","bundle_sha256":"58f7919f29e3f42b2d5d96220649cb9846a87aba2bd9ce093a23996e4b2c2361"}}