{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:VWBYZ24VFO2FNFSAHUQVLLJUBS","short_pith_number":"pith:VWBYZ24V","canonical_record":{"source":{"id":"2412.18221","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T07:05:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8fd4da98412dd69d61070062a2a5addc87d8a92dc71160714088e85c7d07d66e","abstract_canon_sha256":"5cfea5d36ed5087f41e1977406c8d2da3d81cff34231bba376bb2a16ad01b3d6"},"schema_version":"1.0"},"canonical_sha256":"ad838ceb952bb45696403d2155ad340c9e13507197e2b8dc7fe4438ac24926e6","source":{"kind":"arxiv","id":"2412.18221","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.18221","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"arxiv_version","alias_value":"2412.18221v2","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.18221","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_12","alias_value":"VWBYZ24VFO2F","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_16","alias_value":"VWBYZ24VFO2FNFSA","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_8","alias_value":"VWBYZ24V","created_at":"2026-07-05T12:00:45Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:VWBYZ24VFO2FNFSAHUQVLLJUBS","target":"record","payload":{"canonical_record":{"source":{"id":"2412.18221","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T07:05:55Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8fd4da98412dd69d61070062a2a5addc87d8a92dc71160714088e85c7d07d66e","abstract_canon_sha256":"5cfea5d36ed5087f41e1977406c8d2da3d81cff34231bba376bb2a16ad01b3d6"},"schema_version":"1.0"},"canonical_sha256":"ad838ceb952bb45696403d2155ad340c9e13507197e2b8dc7fe4438ac24926e6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:00:45.362490Z","signature_b64":"GsozKdCIya4KxaVQXX/M4BpIgFWeG56m4J/TlS2BOFBinmzL2wYqo0NSzxagR4C0PXGuwFjVn0O/ll5iRhTGDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad838ceb952bb45696403d2155ad340c9e13507197e2b8dc7fe4438ac24926e6","last_reissued_at":"2026-07-05T12:00:45.361955Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:00:45.361955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.18221","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T12:00:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"4Yah8t14Xvt141/25lpRS79KVyyhOAecWJjZAB3GQR5kasG88cgTcOvRvqB6ISowgGUAOYk3jMvdkjL1dpEKDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T11:42:46.302941Z"},"content_sha256":"4caf4ca11a1f5a1eb7dddb99b854e893c37bd131309d36fbb4fc3872927a2e5e","schema_version":"1.0","event_id":"sha256:4caf4ca11a1f5a1eb7dddb99b854e893c37bd131309d36fbb4fc3872927a2e5e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:VWBYZ24VFO2FNFSAHUQVLLJUBS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"cs.CV","authors_text":"Xianfeng Song, Yi Zou, Zheng Liu, Zheng Shi","submitted_at":"2024-12-24T07:05:55Z","abstract_excerpt":"Feature-based image matching has extensive applications in computer vision. Keypoints detected in images can be naturally represented as graph structures, and Graph Neural Networks (GNNs) have been shown to outperform traditional deep learning techniques. Consequently, the paradigm of image matching via GNNs has gained significant prominence in recent academic research. In this paper, we first introduce an innovative adaptive graph construction method that utilizes a filtering mechanism based on distance and dynamic threshold similarity. This method dynamically adjusts the criteria for incorpo"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.18221","kind":"arxiv","version":2},"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/2412.18221/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":"2026-07-05T12:00:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"8q8foMo9hXYaxjvLxeUGe0RGkS4w0+o28zlQJtISzx7mFf2Vrdjc/2XfeDkxPM5+15w89of7cPfNWCbkZOZPDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T11:42:46.303858Z"},"content_sha256":"6d0cf052a5155d28f8a1a91a73f6708ee15390d870013c8282612d6848c99e0f","schema_version":"1.0","event_id":"sha256:6d0cf052a5155d28f8a1a91a73f6708ee15390d870013c8282612d6848c99e0f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VWBYZ24VFO2FNFSAHUQVLLJUBS/bundle.json","state_url":"https://pith.science/pith/VWBYZ24VFO2FNFSAHUQVLLJUBS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VWBYZ24VFO2FNFSAHUQVLLJUBS/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":"2026-08-11T11:42:46Z","links":{"resolver":"https://pith.science/pith/VWBYZ24VFO2FNFSAHUQVLLJUBS","bundle":"https://pith.science/pith/VWBYZ24VFO2FNFSAHUQVLLJUBS/bundle.json","state":"https://pith.science/pith/VWBYZ24VFO2FNFSAHUQVLLJUBS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VWBYZ24VFO2FNFSAHUQVLLJUBS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VWBYZ24VFO2FNFSAHUQVLLJUBS","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":"5cfea5d36ed5087f41e1977406c8d2da3d81cff34231bba376bb2a16ad01b3d6","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T07:05:55Z","title_canon_sha256":"8fd4da98412dd69d61070062a2a5addc87d8a92dc71160714088e85c7d07d66e"},"schema_version":"1.0","source":{"id":"2412.18221","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.18221","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"arxiv_version","alias_value":"2412.18221v2","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.18221","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_12","alias_value":"VWBYZ24VFO2F","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_16","alias_value":"VWBYZ24VFO2FNFSA","created_at":"2026-07-05T12:00:45Z"},{"alias_kind":"pith_short_8","alias_value":"VWBYZ24V","created_at":"2026-07-05T12:00:45Z"}],"graph_snapshots":[{"event_id":"sha256:6d0cf052a5155d28f8a1a91a73f6708ee15390d870013c8282612d6848c99e0f","target":"graph","created_at":"2026-07-05T12:00:45Z","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/2412.18221/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Feature-based image matching has extensive applications in computer vision. Keypoints detected in images can be naturally represented as graph structures, and Graph Neural Networks (GNNs) have been shown to outperform traditional deep learning techniques. Consequently, the paradigm of image matching via GNNs has gained significant prominence in recent academic research. In this paper, we first introduce an innovative adaptive graph construction method that utilizes a filtering mechanism based on distance and dynamic threshold similarity. This method dynamically adjusts the criteria for incorpo","authors_text":"Xianfeng Song, Yi Zou, Zheng Liu, Zheng Shi","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T07:05:55Z","title":"GIMS: Image Matching System Based on Adaptive Graph Construction and Graph Neural Network"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.18221","kind":"arxiv","version":2},"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":"sha256:4caf4ca11a1f5a1eb7dddb99b854e893c37bd131309d36fbb4fc3872927a2e5e","target":"record","created_at":"2026-07-05T12:00:45Z","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":"5cfea5d36ed5087f41e1977406c8d2da3d81cff34231bba376bb2a16ad01b3d6","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-24T07:05:55Z","title_canon_sha256":"8fd4da98412dd69d61070062a2a5addc87d8a92dc71160714088e85c7d07d66e"},"schema_version":"1.0","source":{"id":"2412.18221","kind":"arxiv","version":2}},"canonical_sha256":"ad838ceb952bb45696403d2155ad340c9e13507197e2b8dc7fe4438ac24926e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad838ceb952bb45696403d2155ad340c9e13507197e2b8dc7fe4438ac24926e6","first_computed_at":"2026-07-05T12:00:45.361955Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:45.361955Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GsozKdCIya4KxaVQXX/M4BpIgFWeG56m4J/TlS2BOFBinmzL2wYqo0NSzxagR4C0PXGuwFjVn0O/ll5iRhTGDw==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:45.362490Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.18221","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4caf4ca11a1f5a1eb7dddb99b854e893c37bd131309d36fbb4fc3872927a2e5e","sha256:6d0cf052a5155d28f8a1a91a73f6708ee15390d870013c8282612d6848c99e0f"],"state_sha256":"93938320a5288b4e106b1c52cd6797011373240e6c1d41c9cf19e7183cd3f639"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"14cpcMBdzCdeooc/utgkOBweh6unOGhwQYo1aoYG6BaGI4RrvVp3m5ndAYherc5Vs08Hqxv2irZeW1tZNLBxDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T11:42:46.310660Z","bundle_sha256":"c32bfa795c63fa81a44f6d158af6cae7ffb9cd92cac0f6bd5509025e71d38acf"}}