{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BWRA5BBJRXIPSSOLZRFXMFRQRZ","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":"5b2859f4def07b250480c57f98d425567c9517780c8c58746a782ab9716c7104","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-09-23T14:44:03Z","title_canon_sha256":"0c005c3b9c2c1d4326a593e52a3eb3cba03e6137445c22748cf6e2fe194b5d3d"},"schema_version":"1.0","source":{"id":"2509.19092","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2509.19092","created_at":"2026-06-25T01:17:46Z"},{"alias_kind":"arxiv_version","alias_value":"2509.19092v2","created_at":"2026-06-25T01:17:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2509.19092","created_at":"2026-06-25T01:17:46Z"},{"alias_kind":"pith_short_12","alias_value":"BWRA5BBJRXIP","created_at":"2026-06-25T01:17:46Z"},{"alias_kind":"pith_short_16","alias_value":"BWRA5BBJRXIPSSOL","created_at":"2026-06-25T01:17:46Z"},{"alias_kind":"pith_short_8","alias_value":"BWRA5BBJ","created_at":"2026-06-25T01:17:46Z"}],"graph_snapshots":[{"event_id":"sha256:72214a6ce13a031ee86be7bc71779af806ea725d846e3b5a9e44a93db070a598","target":"graph","created_at":"2026-06-25T01:17:46Z","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/2509.19092/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We propose a data-free knowledge distillation (DF- KD) framework for LiDAR-aided mmWave beam tracking, where the objective is to predict the optimal current and future beams from a sequence of past LiDAR measurements. Specifically, we propose a knowledge inversion approach where a generator synthesizes LiDAR-like sequences from random noise, using a metadata loss to align the teachers internal feature statistics of synthetic and real data, without access to raw LiDAR samples. The student model is then trained exclusively on the synthetic data using either the Kullback- Leibler (KL) divergence ","authors_text":"Abolfazl Zakeri, Ahmed Alkhateeb, Markku Juntti, Nhan Thanh Nguyen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-09-23T14:44:03Z","title":"Data-Free Knowledge Distillation for LiDAR-Aided Beam Tracking in MmWave Systems"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2509.19092","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":"sha256:527c27103f0ed3986b3ad005a996e0ee9f094185a3d10433cc293f7e9e621d1d","target":"record","created_at":"2026-06-25T01:17:46Z","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":"5b2859f4def07b250480c57f98d425567c9517780c8c58746a782ab9716c7104","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2025-09-23T14:44:03Z","title_canon_sha256":"0c005c3b9c2c1d4326a593e52a3eb3cba03e6137445c22748cf6e2fe194b5d3d"},"schema_version":"1.0","source":{"id":"2509.19092","kind":"arxiv","version":2}},"canonical_sha256":"0da20e84298dd0f949cbcc4b7616308e632f6da26d4179b5d3dffdb5a4128f35","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0da20e84298dd0f949cbcc4b7616308e632f6da26d4179b5d3dffdb5a4128f35","first_computed_at":"2026-06-25T01:17:46.127633Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-25T01:17:46.127633Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"HoIEssCM+WCmlXrzmT4XnK5wRdqB9h2rqYQhuLzzyzJ/NasXZNVi/CjyKnrP8S4PSuR1n8YxVk44PJp8zT+4Cg==","signature_status":"signed_v1","signed_at":"2026-06-25T01:17:46.128036Z","signed_message":"canonical_sha256_bytes"},"source_id":"2509.19092","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:527c27103f0ed3986b3ad005a996e0ee9f094185a3d10433cc293f7e9e621d1d","sha256:72214a6ce13a031ee86be7bc71779af806ea725d846e3b5a9e44a93db070a598"],"state_sha256":"45f5e592806e1f52dff1ba93a697e2b3bdfcb371a8cb5e44e455eb87249cd79e"}