{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VLB4PBBWAYOP3XMZ4D2PNNSNYP","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":"25a7aeab442c8c030e50caade5cac1666d63b02c8955d5b015c1ed99ce8f45f5","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2024-05-17T20:03:10Z","title_canon_sha256":"87cf5feeb71adcd6b016eaf9e9defc36e888c2bffd68261a413e1e04c50564b9"},"schema_version":"1.0","source":{"id":"2405.11072","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.11072","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"arxiv_version","alias_value":"2405.11072v1","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.11072","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_12","alias_value":"VLB4PBBWAYOP","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_16","alias_value":"VLB4PBBWAYOP3XMZ","created_at":"2026-07-05T08:20:32Z"},{"alias_kind":"pith_short_8","alias_value":"VLB4PBBW","created_at":"2026-07-05T08:20:32Z"}],"graph_snapshots":[{"event_id":"sha256:96802d151cd06e2867064441b210d70a805adfb3764cafd847f7a236bd3aad27","target":"graph","created_at":"2026-07-05T08:20:32Z","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/2405.11072/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The ongoing fifth-generation (5G) standardization is exploring the use of deep learning (DL) methods to enhance the new radio (NR) interface. Both in academia and industry, researchers are investigating the performance and complexity of multiple DL architecture candidates for specific one-sided and two-sided use cases such as channel state estimation (CSI) feedback, CSI prediction, beam management, and positioning. In this paper, we set focus on the CSI prediction task and study the performance and generalization of the two main DL layers that are being extensively benchmarked within the DL co","authors_text":"Amine Mezghani, Faouzi Bellili, Mohamed Akrout, Robert W. Heath","cross_cats":["eess.SP","math.IT"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2024-05-17T20:03:10Z","title":"Next-slot OFDM-CSI Prediction: Multi-head Self-attention or State Space Model?"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.11072","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":"sha256:341f0438c4cf5ac97278d9be551ca4771c334d2f407caa96291ec53ad6382edc","target":"record","created_at":"2026-07-05T08:20:32Z","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":"25a7aeab442c8c030e50caade5cac1666d63b02c8955d5b015c1ed99ce8f45f5","cross_cats_sorted":["eess.SP","math.IT"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2024-05-17T20:03:10Z","title_canon_sha256":"87cf5feeb71adcd6b016eaf9e9defc36e888c2bffd68261a413e1e04c50564b9"},"schema_version":"1.0","source":{"id":"2405.11072","kind":"arxiv","version":1}},"canonical_sha256":"aac3c78436061cfddd99e0f4f6b64dc3e7563f73316a43e7ef6f29e916c74676","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aac3c78436061cfddd99e0f4f6b64dc3e7563f73316a43e7ef6f29e916c74676","first_computed_at":"2026-07-05T08:20:32.691229Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:20:32.691229Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"g2mn1rvRhrOrr1b0WfkwtaDKnU00pJjqKB3ZRC3ZzgEKgEuqc2xqQRYnkPBfj1fX3Kkt0l9kDiGIxjBSmoaVBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:20:32.691679Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.11072","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:341f0438c4cf5ac97278d9be551ca4771c334d2f407caa96291ec53ad6382edc","sha256:96802d151cd06e2867064441b210d70a805adfb3764cafd847f7a236bd3aad27"],"state_sha256":"99b9d7c32abcd90ad3e83dc1d7b366800e22b7d47eb844bb00e74233d13f1237"}