{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2ZQQ6CKWHR75YHAM5MIKAVG7GF","short_pith_number":"pith:2ZQQ6CKW","canonical_record":{"source":{"id":"2507.23236","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-07-31T04:25:59Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e1bf522ae2622cb99c215692e4d25d9184a2303bba8721439241f56a4582aa20","abstract_canon_sha256":"88e907bc4311801366f5ee8a2acce43efdbd76e3e96188a933f24a89f2403a49"},"schema_version":"1.0"},"canonical_sha256":"d6610f09563c7fdc1c0ceb10a054df31587305a6046a5b438ee9af0b14b8d34b","source":{"kind":"arxiv","id":"2507.23236","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23236","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23236v1","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23236","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"pith_short_12","alias_value":"2ZQQ6CKWHR75","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"pith_short_16","alias_value":"2ZQQ6CKWHR75YHAM","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"pith_short_8","alias_value":"2ZQQ6CKW","created_at":"2026-07-05T11:46:08Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2ZQQ6CKWHR75YHAM5MIKAVG7GF","target":"record","payload":{"canonical_record":{"source":{"id":"2507.23236","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-07-31T04:25:59Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"e1bf522ae2622cb99c215692e4d25d9184a2303bba8721439241f56a4582aa20","abstract_canon_sha256":"88e907bc4311801366f5ee8a2acce43efdbd76e3e96188a933f24a89f2403a49"},"schema_version":"1.0"},"canonical_sha256":"d6610f09563c7fdc1c0ceb10a054df31587305a6046a5b438ee9af0b14b8d34b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:46:08.043556Z","signature_b64":"okjZSgXVd5hHowusjcCJDx16rhF6Y4/5/227ss5HlQSgduyZX79XzVpN5K+xDzqNM94Jgl5fwsjY3G+hZX20Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d6610f09563c7fdc1c0ceb10a054df31587305a6046a5b438ee9af0b14b8d34b","last_reissued_at":"2026-07-05T11:46:08.043048Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:46:08.043048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.23236","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":"2026-07-05T11:46:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F4leXlcjb9YV6uG1M2ChQVEdSkwyTWCZBY+mxuoUE0IE0DMQFdh3sb85eEq9wpy1wnr2DB7gPjSSSLQ0y0qYBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:39:13.120715Z"},"content_sha256":"845432fa2028ac7acf27a085fe9498db6d857f968cd9d338f4a4d0895bce0990","schema_version":"1.0","event_id":"sha256:845432fa2028ac7acf27a085fe9498db6d857f968cd9d338f4a4d0895bce0990"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2ZQQ6CKWHR75YHAM5MIKAVG7GF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"eess.SP","authors_text":"Di Wu, Xiaoli Xu, Xinyi Wang, Yong Zeng, Zesong Fei, Zhuoyin Dai","submitted_at":"2025-07-31T04:25:59Z","abstract_excerpt":"Channel knowledge map (CKM) inference across base stations (BSs) is the key to achieving efficient environmentaware communications. This paper proposes an environmentaware cross-BS CKM inference method called BS-1-to-N based on the generative diffusion model. To this end, we first design the BS location embedding (BSLE) method tailored for cross-BS CKM inference to embed BS location information in the feature vector of CKM. Further, we utilize the cross- and self-attention mechanism for the proposed BS-1-to-N model to respectively learn the relationships between source and target BSs, as well "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23236","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/2507.23236/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":"2026-07-05T11:46:08Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eF8SeVIyqguZECag9p46aroesccmcv75h+O+/jJdzTcXxnqOB6hcwedPKRPpRP3R8BMq/Kql7oLGDDB2Uf+pCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T16:39:13.121588Z"},"content_sha256":"1f29969accd2b92f7097ca0c5b7ce8ef7eff092a8c83c4dbc86667eab6a0c43f","schema_version":"1.0","event_id":"sha256:1f29969accd2b92f7097ca0c5b7ce8ef7eff092a8c83c4dbc86667eab6a0c43f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2ZQQ6CKWHR75YHAM5MIKAVG7GF/bundle.json","state_url":"https://pith.science/pith/2ZQQ6CKWHR75YHAM5MIKAVG7GF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2ZQQ6CKWHR75YHAM5MIKAVG7GF/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":"2026-08-10T16:39:13Z","links":{"resolver":"https://pith.science/pith/2ZQQ6CKWHR75YHAM5MIKAVG7GF","bundle":"https://pith.science/pith/2ZQQ6CKWHR75YHAM5MIKAVG7GF/bundle.json","state":"https://pith.science/pith/2ZQQ6CKWHR75YHAM5MIKAVG7GF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2ZQQ6CKWHR75YHAM5MIKAVG7GF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2ZQQ6CKWHR75YHAM5MIKAVG7GF","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":"88e907bc4311801366f5ee8a2acce43efdbd76e3e96188a933f24a89f2403a49","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-07-31T04:25:59Z","title_canon_sha256":"e1bf522ae2622cb99c215692e4d25d9184a2303bba8721439241f56a4582aa20"},"schema_version":"1.0","source":{"id":"2507.23236","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.23236","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"arxiv_version","alias_value":"2507.23236v1","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.23236","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"pith_short_12","alias_value":"2ZQQ6CKWHR75","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"pith_short_16","alias_value":"2ZQQ6CKWHR75YHAM","created_at":"2026-07-05T11:46:08Z"},{"alias_kind":"pith_short_8","alias_value":"2ZQQ6CKW","created_at":"2026-07-05T11:46:08Z"}],"graph_snapshots":[{"event_id":"sha256:1f29969accd2b92f7097ca0c5b7ce8ef7eff092a8c83c4dbc86667eab6a0c43f","target":"graph","created_at":"2026-07-05T11:46:08Z","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/2507.23236/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Channel knowledge map (CKM) inference across base stations (BSs) is the key to achieving efficient environmentaware communications. This paper proposes an environmentaware cross-BS CKM inference method called BS-1-to-N based on the generative diffusion model. To this end, we first design the BS location embedding (BSLE) method tailored for cross-BS CKM inference to embed BS location information in the feature vector of CKM. Further, we utilize the cross- and self-attention mechanism for the proposed BS-1-to-N model to respectively learn the relationships between source and target BSs, as well ","authors_text":"Di Wu, Xiaoli Xu, Xinyi Wang, Yong Zeng, Zesong Fei, Zhuoyin Dai","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-07-31T04:25:59Z","title":"BS-1-to-N: Diffusion-Based Environment-Aware Cross-BS Channel Knowledge Map Generation for Cell-Free Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.23236","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":"sha256:845432fa2028ac7acf27a085fe9498db6d857f968cd9d338f4a4d0895bce0990","target":"record","created_at":"2026-07-05T11:46:08Z","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":"88e907bc4311801366f5ee8a2acce43efdbd76e3e96188a933f24a89f2403a49","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2025-07-31T04:25:59Z","title_canon_sha256":"e1bf522ae2622cb99c215692e4d25d9184a2303bba8721439241f56a4582aa20"},"schema_version":"1.0","source":{"id":"2507.23236","kind":"arxiv","version":1}},"canonical_sha256":"d6610f09563c7fdc1c0ceb10a054df31587305a6046a5b438ee9af0b14b8d34b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d6610f09563c7fdc1c0ceb10a054df31587305a6046a5b438ee9af0b14b8d34b","first_computed_at":"2026-07-05T11:46:08.043048Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:46:08.043048Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"okjZSgXVd5hHowusjcCJDx16rhF6Y4/5/227ss5HlQSgduyZX79XzVpN5K+xDzqNM94Jgl5fwsjY3G+hZX20Cw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:46:08.043556Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.23236","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:845432fa2028ac7acf27a085fe9498db6d857f968cd9d338f4a4d0895bce0990","sha256:1f29969accd2b92f7097ca0c5b7ce8ef7eff092a8c83c4dbc86667eab6a0c43f"],"state_sha256":"f0a0c1be623f4fa0ce34660ccdebd127c472aa77203a1dfff872fda2dc339b6c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"F0ya5nv8SKAaAMTpogkEmeFzLOmfpqbNkwaKxj/gB44Nl4GYSkZmue8lg21ovE8DInlNTRa6OcooV4Ab1rFDAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T16:39:13.128287Z","bundle_sha256":"a4ff2cc7f0e34832b6bb624bc1703e3ce521ea6331fffca2ff44c82e169a41d7"}}