{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:QTRYTKVNO5UBVD6YNELLIIH7N6","short_pith_number":"pith:QTRYTKVN","canonical_record":{"source":{"id":"2605.24389","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IT","submitted_at":"2026-05-23T04:18:32Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"41005431d81e4a52e9f1e63db67ec5466c6670fd3af4ae39e3d837f56b2b0c3a","abstract_canon_sha256":"3b25c2e8697408e8403eb51a17eb78375ff63aaf5c76bd99aace690c537eca73"},"schema_version":"1.0"},"canonical_sha256":"84e389aaad77681a8fd86916b420ff6fa909a3c12181d4c3f7cefc4d979bb9c3","source":{"kind":"arxiv","id":"2605.24389","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24389","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24389v1","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24389","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"pith_short_12","alias_value":"QTRYTKVNO5UB","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"pith_short_16","alias_value":"QTRYTKVNO5UBVD6Y","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"pith_short_8","alias_value":"QTRYTKVN","created_at":"2026-05-26T01:03:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:QTRYTKVNO5UBVD6YNELLIIH7N6","target":"record","payload":{"canonical_record":{"source":{"id":"2605.24389","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IT","submitted_at":"2026-05-23T04:18:32Z","cross_cats_sorted":["eess.SP","math.IT"],"title_canon_sha256":"41005431d81e4a52e9f1e63db67ec5466c6670fd3af4ae39e3d837f56b2b0c3a","abstract_canon_sha256":"3b25c2e8697408e8403eb51a17eb78375ff63aaf5c76bd99aace690c537eca73"},"schema_version":"1.0"},"canonical_sha256":"84e389aaad77681a8fd86916b420ff6fa909a3c12181d4c3f7cefc4d979bb9c3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-26T01:03:36.770615Z","signature_b64":"mmTmaNmaEswuN4SrIMGmJhX+HMBIUGphuXUciP2L2UR2KYe4x2osQOpx2ilL3xykVka4ROVrqw58uLkYzfY2Bg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84e389aaad77681a8fd86916b420ff6fa909a3c12181d4c3f7cefc4d979bb9c3","last_reissued_at":"2026-05-26T01:03:36.768683Z","signature_status":"signed_v1","first_computed_at":"2026-05-26T01:03:36.768683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2605.24389","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":"2026-05-26T01:03:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xFLnWlHxSQQ2G2IEhsukPnWveraPqpXRe7unvEooSwg7m6CHNsga1Eu/5OsaBgaYl13nPb3uknn8fUvYtcDfAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T11:49:06.654654Z"},"content_sha256":"948b3743c074b521d5e029daf5fc9fea4360d099699a99c4d60f037d4cb31fef","schema_version":"1.0","event_id":"sha256:948b3743c074b521d5e029daf5fc9fea4360d099699a99c4d60f037d4cb31fef"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:QTRYTKVNO5UBVD6YNELLIIH7N6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"SinFormer: A Tailored Transformer for Robust Radio Frequency Fingerprint Identification","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["eess.SP","math.IT"],"primary_cat":"cs.IT","authors_text":"Liu Yang, Qiang Li, Xiaoyang Ren","submitted_at":"2026-05-23T04:18:32Z","abstract_excerpt":"With the rapid proliferation of wireless and Internet of Things (IoT) devices, ensuring secure and reliable device identification has become a significant challenge. Traditional security techniques, such as IP or MAC address-based authentication, are susceptible to spoofing, whereas Radio Frequency Fingerprint Identification (RFFI) offers a more secure alternative by exploiting the unique hardware imperfections in devices' RF signals. In this paper, we propose a novel deep learning-based framework for RFFI that enhances both accuracy and reliability in challenging RF environments. The core of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24389","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/2605.24389/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":"2026-05-26T01:03:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9AO+Y0rXm5pFYbGsx81FLmA1QOgnqq0Ckj8RwwWSRLaIko6oxussXGlA9xeo14IMnAAv+QXE6GuzqXhBiSyhBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-01T11:49:06.655040Z"},"content_sha256":"c9242e537a48be47b112f6cbeb06b4df068852a74df9f0b85e92284203c1c91f","schema_version":"1.0","event_id":"sha256:c9242e537a48be47b112f6cbeb06b4df068852a74df9f0b85e92284203c1c91f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QTRYTKVNO5UBVD6YNELLIIH7N6/bundle.json","state_url":"https://pith.science/pith/QTRYTKVNO5UBVD6YNELLIIH7N6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QTRYTKVNO5UBVD6YNELLIIH7N6/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":"2026-07-01T11:49:06Z","links":{"resolver":"https://pith.science/pith/QTRYTKVNO5UBVD6YNELLIIH7N6","bundle":"https://pith.science/pith/QTRYTKVNO5UBVD6YNELLIIH7N6/bundle.json","state":"https://pith.science/pith/QTRYTKVNO5UBVD6YNELLIIH7N6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QTRYTKVNO5UBVD6YNELLIIH7N6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QTRYTKVNO5UBVD6YNELLIIH7N6","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":"3b25c2e8697408e8403eb51a17eb78375ff63aaf5c76bd99aace690c537eca73","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IT","submitted_at":"2026-05-23T04:18:32Z","title_canon_sha256":"41005431d81e4a52e9f1e63db67ec5466c6670fd3af4ae39e3d837f56b2b0c3a"},"schema_version":"1.0","source":{"id":"2605.24389","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.24389","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"arxiv_version","alias_value":"2605.24389v1","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.24389","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"pith_short_12","alias_value":"QTRYTKVNO5UB","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"pith_short_16","alias_value":"QTRYTKVNO5UBVD6Y","created_at":"2026-05-26T01:03:36Z"},{"alias_kind":"pith_short_8","alias_value":"QTRYTKVN","created_at":"2026-05-26T01:03:36Z"}],"graph_snapshots":[{"event_id":"sha256:c9242e537a48be47b112f6cbeb06b4df068852a74df9f0b85e92284203c1c91f","target":"graph","created_at":"2026-05-26T01:03:36Z","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/2605.24389/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"With the rapid proliferation of wireless and Internet of Things (IoT) devices, ensuring secure and reliable device identification has become a significant challenge. Traditional security techniques, such as IP or MAC address-based authentication, are susceptible to spoofing, whereas Radio Frequency Fingerprint Identification (RFFI) offers a more secure alternative by exploiting the unique hardware imperfections in devices' RF signals. In this paper, we propose a novel deep learning-based framework for RFFI that enhances both accuracy and reliability in challenging RF environments. The core of ","authors_text":"Liu Yang, Qiang Li, Xiaoyang Ren","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IT","submitted_at":"2026-05-23T04:18:32Z","title":"SinFormer: A Tailored Transformer for Robust Radio Frequency Fingerprint Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.24389","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":"sha256:948b3743c074b521d5e029daf5fc9fea4360d099699a99c4d60f037d4cb31fef","target":"record","created_at":"2026-05-26T01:03:36Z","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":"3b25c2e8697408e8403eb51a17eb78375ff63aaf5c76bd99aace690c537eca73","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IT","submitted_at":"2026-05-23T04:18:32Z","title_canon_sha256":"41005431d81e4a52e9f1e63db67ec5466c6670fd3af4ae39e3d837f56b2b0c3a"},"schema_version":"1.0","source":{"id":"2605.24389","kind":"arxiv","version":1}},"canonical_sha256":"84e389aaad77681a8fd86916b420ff6fa909a3c12181d4c3f7cefc4d979bb9c3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84e389aaad77681a8fd86916b420ff6fa909a3c12181d4c3f7cefc4d979bb9c3","first_computed_at":"2026-05-26T01:03:36.768683Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T01:03:36.768683Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mmTmaNmaEswuN4SrIMGmJhX+HMBIUGphuXUciP2L2UR2KYe4x2osQOpx2ilL3xykVka4ROVrqw58uLkYzfY2Bg==","signature_status":"signed_v1","signed_at":"2026-05-26T01:03:36.770615Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.24389","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:948b3743c074b521d5e029daf5fc9fea4360d099699a99c4d60f037d4cb31fef","sha256:c9242e537a48be47b112f6cbeb06b4df068852a74df9f0b85e92284203c1c91f"],"state_sha256":"e2dc76e7b40fdf8b9e5525e08c3e970114670a56d4d0077e97149f51b5f05677"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RDWgD/MJWLghnX6d5QMQmP0kiJBwqjX9yRvYWB2fWg2eOoqgE2cUGhTPG4yZYlvsicO+qFi4uk+sj4i9Bs3yCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-01T11:49:06.657122Z","bundle_sha256":"5fe643de2e811adddf7d93e3051424e5031ab24d0af336b219ab2a882daf46e4"}}