{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QRCV5R4ZFZIMKWM3P6SZLDL6VV","short_pith_number":"pith:QRCV5R4Z","canonical_record":{"source":{"id":"2501.05190","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-01-09T12:30:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8444de1255fcd32eda61200abab1b00a1e0342d593f6c345e84c09af594d9868","abstract_canon_sha256":"f9e9733ed982cf7f2509db8209ff171eb75de9746020ef11be63c7481e1881a2"},"schema_version":"1.0"},"canonical_sha256":"84455ec7992e50c5599b7fa5958d7ead70ae852e2c0200e52235cb687d82651d","source":{"kind":"arxiv","id":"2501.05190","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05190","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05190v2","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05190","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"QRCV5R4ZFZIM","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"pith_short_16","alias_value":"QRCV5R4ZFZIMKWM3","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"pith_short_8","alias_value":"QRCV5R4Z","created_at":"2026-07-05T09:59:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QRCV5R4ZFZIMKWM3P6SZLDL6VV","target":"record","payload":{"canonical_record":{"source":{"id":"2501.05190","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-01-09T12:30:22Z","cross_cats_sorted":["cs.LG"],"title_canon_sha256":"8444de1255fcd32eda61200abab1b00a1e0342d593f6c345e84c09af594d9868","abstract_canon_sha256":"f9e9733ed982cf7f2509db8209ff171eb75de9746020ef11be63c7481e1881a2"},"schema_version":"1.0"},"canonical_sha256":"84455ec7992e50c5599b7fa5958d7ead70ae852e2c0200e52235cb687d82651d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:59:59.547276Z","signature_b64":"VguTfqH/2MbRtHTAwyH4l06Dokg3H6I7OGV1E5Q2crarAdGuJnwQ2KFZXqtjRPF1VFj046YDxpZDiz+3/V6CBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"84455ec7992e50c5599b7fa5958d7ead70ae852e2c0200e52235cb687d82651d","last_reissued_at":"2026-07-05T09:59:59.546839Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:59:59.546839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.05190","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":"2026-07-05T09:59:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"npUMk0Y0WOzaLD8mhumuFQaR3YeD5yw6URVhk+SY3zl/4R6H9c3moFtx8Yw+8pqrxi53/+MVL3LdgR/g/XO9DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T22:47:31.021737Z"},"content_sha256":"dea9293cb553166516d6dcbbc4116084947ffb636fae3b2086e1dabd80de4152","schema_version":"1.0","event_id":"sha256:dea9293cb553166516d6dcbbc4116084947ffb636fae3b2086e1dabd80de4152"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QRCV5R4ZFZIMKWM3P6SZLDL6VV","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"RMTransformer: Accurate Radio Map Construction and Coverage Prediction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.LG"],"primary_cat":"eess.SP","authors_text":"Cheng Zhang, Wen Wang, Yongming Huang, Yuxuan Li","submitted_at":"2025-01-09T12:30:22Z","abstract_excerpt":"Radio map, or pathloss map prediction, is a crucial method for wireless network modeling and management. By leveraging deep learning to construct pathloss patterns from geographical maps, an accurate digital replica of the transmission environment could be established with less computational overhead and lower prediction error compared to traditional model-driven techniques. While existing state-of-the-art (SOTA) methods predominantly rely on convolutional architectures, this paper introduces a hybrid transformer-convolution model, termed RMTransformer, to enhance the accuracy of radio map pre"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05190","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/2501.05190/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":"2026-07-05T09:59:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aP33N3IbxuzwyTSp/NrIew4c0kCpnYkpz2vB+ugvWqxCBDywGhgA5rPAW3ol2fSGJElZK2p8rwONtKdsARrJCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T22:47:31.022543Z"},"content_sha256":"9a41256745cb5a76e36e2e1e09d3330a1752f450ca8737225519e41a07bc4bb5","schema_version":"1.0","event_id":"sha256:9a41256745cb5a76e36e2e1e09d3330a1752f450ca8737225519e41a07bc4bb5"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QRCV5R4ZFZIMKWM3P6SZLDL6VV/bundle.json","state_url":"https://pith.science/pith/QRCV5R4ZFZIMKWM3P6SZLDL6VV/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QRCV5R4ZFZIMKWM3P6SZLDL6VV/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":"2026-08-19T22:47:31Z","links":{"resolver":"https://pith.science/pith/QRCV5R4ZFZIMKWM3P6SZLDL6VV","bundle":"https://pith.science/pith/QRCV5R4ZFZIMKWM3P6SZLDL6VV/bundle.json","state":"https://pith.science/pith/QRCV5R4ZFZIMKWM3P6SZLDL6VV/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QRCV5R4ZFZIMKWM3P6SZLDL6VV/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QRCV5R4ZFZIMKWM3P6SZLDL6VV","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":"f9e9733ed982cf7f2509db8209ff171eb75de9746020ef11be63c7481e1881a2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-01-09T12:30:22Z","title_canon_sha256":"8444de1255fcd32eda61200abab1b00a1e0342d593f6c345e84c09af594d9868"},"schema_version":"1.0","source":{"id":"2501.05190","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.05190","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"arxiv_version","alias_value":"2501.05190v2","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.05190","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"pith_short_12","alias_value":"QRCV5R4ZFZIM","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"pith_short_16","alias_value":"QRCV5R4ZFZIMKWM3","created_at":"2026-07-05T09:59:59Z"},{"alias_kind":"pith_short_8","alias_value":"QRCV5R4Z","created_at":"2026-07-05T09:59:59Z"}],"graph_snapshots":[{"event_id":"sha256:9a41256745cb5a76e36e2e1e09d3330a1752f450ca8737225519e41a07bc4bb5","target":"graph","created_at":"2026-07-05T09:59:59Z","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/2501.05190/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Radio map, or pathloss map prediction, is a crucial method for wireless network modeling and management. By leveraging deep learning to construct pathloss patterns from geographical maps, an accurate digital replica of the transmission environment could be established with less computational overhead and lower prediction error compared to traditional model-driven techniques. While existing state-of-the-art (SOTA) methods predominantly rely on convolutional architectures, this paper introduces a hybrid transformer-convolution model, termed RMTransformer, to enhance the accuracy of radio map pre","authors_text":"Cheng Zhang, Wen Wang, Yongming Huang, Yuxuan Li","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-01-09T12:30:22Z","title":"RMTransformer: Accurate Radio Map Construction and Coverage Prediction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.05190","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:dea9293cb553166516d6dcbbc4116084947ffb636fae3b2086e1dabd80de4152","target":"record","created_at":"2026-07-05T09:59:59Z","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":"f9e9733ed982cf7f2509db8209ff171eb75de9746020ef11be63c7481e1881a2","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-01-09T12:30:22Z","title_canon_sha256":"8444de1255fcd32eda61200abab1b00a1e0342d593f6c345e84c09af594d9868"},"schema_version":"1.0","source":{"id":"2501.05190","kind":"arxiv","version":2}},"canonical_sha256":"84455ec7992e50c5599b7fa5958d7ead70ae852e2c0200e52235cb687d82651d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"84455ec7992e50c5599b7fa5958d7ead70ae852e2c0200e52235cb687d82651d","first_computed_at":"2026-07-05T09:59:59.546839Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:59:59.546839Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VguTfqH/2MbRtHTAwyH4l06Dokg3H6I7OGV1E5Q2crarAdGuJnwQ2KFZXqtjRPF1VFj046YDxpZDiz+3/V6CBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:59:59.547276Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.05190","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dea9293cb553166516d6dcbbc4116084947ffb636fae3b2086e1dabd80de4152","sha256:9a41256745cb5a76e36e2e1e09d3330a1752f450ca8737225519e41a07bc4bb5"],"state_sha256":"7ce9f7a873091f8fc1f45e2f2a0bf6b9f544518ec12a749048baeedb8141cfb2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CSe4IgyeHadQmHtAJ9xornFB1FAmDyDrV2AFu7qEpU2Fj66/m0D8mdvvUswKztkJ6Nyex/zIrV9O1xJPdJ04Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T22:47:31.029655Z","bundle_sha256":"8c0c55a0d6c00c5e5f2b2299cafcfb66c35a9a47a6ff6c447d8b817c7e7534a2"}}