{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:46CTG3WFDIPHLDKNYKC2Z2NU6N","short_pith_number":"pith:46CTG3WF","schema_version":"1.0","canonical_sha256":"e785336ec51a1e758d4dc285ace9b4f353a525e2f1abf865b9ed343d4aac922c","source":{"kind":"arxiv","id":"2606.25714","version":1},"attestation_state":"computed","paper":{"title":"CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Jun Jiang, Shugong Xu, Wenjun Yu, Yuan Gao, Yunfan Li","submitted_at":"2026-06-24T11:27:22Z","abstract_excerpt":"Self-supervised learning can exploit large-scale unlabeled channel data to improve the transferability of wireless AI models. Existing channel foundation models are often built on single-domain representations or reconstruction-oriented objectives, which may not explicitly capture the physical correspondence between frequency- and delay-domain channel views. This paper proposes CSI-CLIP++, a scalable channel foundation model for MIMO wireless channels. CSI-CLIP++ treats frequency-domain channel state information (CSI) and delay-domain channel impulse response (CIR) as paired views of the same "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.25714","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"eess.SP","submitted_at":"2026-06-24T11:27:22Z","cross_cats_sorted":[],"title_canon_sha256":"16b7c54d162f42e61fee62184eb6c5478ac22fad87a92cfdd7fc227596dae6d1","abstract_canon_sha256":"4c83e44879836e97e66f268783d7267f9998766eb86d19e567ebfcd3212868be"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:18:13.459696Z","signature_b64":"V6jjEkZnCN21SXL7dn55NeZMob7ZSIdK8vnxA5LiFfcDQf1j9BPTjr8sDm8AxfC0dOkhzSWhpgyJkgV/hh+ODQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e785336ec51a1e758d4dc285ace9b4f353a525e2f1abf865b9ed343d4aac922c","last_reissued_at":"2026-06-25T01:18:13.459288Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:18:13.459288Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"CSI-CLIP++: A Scalable Channel Foundation Model for Wireless Communication via CIR-CSI Consistency","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"eess.SP","authors_text":"Jun Jiang, Shugong Xu, Wenjun Yu, Yuan Gao, Yunfan Li","submitted_at":"2026-06-24T11:27:22Z","abstract_excerpt":"Self-supervised learning can exploit large-scale unlabeled channel data to improve the transferability of wireless AI models. Existing channel foundation models are often built on single-domain representations or reconstruction-oriented objectives, which may not explicitly capture the physical correspondence between frequency- and delay-domain channel views. This paper proposes CSI-CLIP++, a scalable channel foundation model for MIMO wireless channels. CSI-CLIP++ treats frequency-domain channel state information (CSI) and delay-domain channel impulse response (CIR) as paired views of the same "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25714","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/2606.25714/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.25714","created_at":"2026-06-25T01:18:13.459358+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.25714v1","created_at":"2026-06-25T01:18:13.459358+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25714","created_at":"2026-06-25T01:18:13.459358+00:00"},{"alias_kind":"pith_short_12","alias_value":"46CTG3WFDIPH","created_at":"2026-06-25T01:18:13.459358+00:00"},{"alias_kind":"pith_short_16","alias_value":"46CTG3WFDIPHLDKN","created_at":"2026-06-25T01:18:13.459358+00:00"},{"alias_kind":"pith_short_8","alias_value":"46CTG3WF","created_at":"2026-06-25T01:18:13.459358+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N","json":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N.json","graph_json":"https://pith.science/api/pith-number/46CTG3WFDIPHLDKNYKC2Z2NU6N/graph.json","events_json":"https://pith.science/api/pith-number/46CTG3WFDIPHLDKNYKC2Z2NU6N/events.json","paper":"https://pith.science/paper/46CTG3WF"},"agent_actions":{"view_html":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N","download_json":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N.json","view_paper":"https://pith.science/paper/46CTG3WF","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.25714&json=true","fetch_graph":"https://pith.science/api/pith-number/46CTG3WFDIPHLDKNYKC2Z2NU6N/graph.json","fetch_events":"https://pith.science/api/pith-number/46CTG3WFDIPHLDKNYKC2Z2NU6N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N/action/storage_attestation","attest_author":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N/action/author_attestation","sign_citation":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N/action/citation_signature","submit_replication":"https://pith.science/pith/46CTG3WFDIPHLDKNYKC2Z2NU6N/action/replication_record"}},"created_at":"2026-06-25T01:18:13.459358+00:00","updated_at":"2026-06-25T01:18:13.459358+00:00"}