{"as_of":"2026-07-14T07:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7eb5944b1693e5572d7c190eb22b342bf4a44e86945734bb04a119e58380456f","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T07:37:23.849555Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-02T07:28:02.140152Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-02T07:36:44.731355Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"cited_work":{"arxiv_id":"2604.16708","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.16708","snapshot_observed_at":"2026-07-02T07:36:44.731355Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","venue":"eess.SP","work_id":"16f8f1d6-a278-4101-8bc6-80d2ec28dcb7","year":2026},"citing_paper":{"arxiv_id":"2607.00936","last_updated":"2026-07-01T13:40:24Z","snapshot_observed_at":"2026-07-04T23:16:36.017756Z","submitted_at":"2026-07-01T13:40:24Z","title":"Lightweight Vision-Aided Beam Tracking for Cross-Environment mmWave Communications","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-02T07:28:02.140152Z"},"links":{"cited_paper":"/paper/2604.16708","citing_paper":"/paper/2607.00936"},"observation_digest":"sha256:31783c19468c1c0decacd91572118371a933b680d9daa30d536e4d68f91a439a","observation_id":"079115df-5b91-4c11-afab-477a8d2e2ba5","resolution":{"observed_at":"2026-07-02T07:36:44.732644Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2604.16708/citation-record","integrity":"/paper/2604.16708/integrity","json":"/paper/2604.16708/citation-record.json","paper":"/paper/2604.16708"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The roa d towards 6G: A comprehensive survey","venue":null,"work_id":"8e235a12-5417-4369-8944-529e373448d7","year":null},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:95d42e033716b78da54ba5a64682bb1174db815cebcf0563c547e033546a962f","observation_id":"79a7cbf0-c104-4988-ad81-1641ead732c9","resolution":{"observed_at":"2026-05-21T13:04:11.656614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Environment sema ntic communication: Enabling distributed sensing aided networ ks","venue":null,"work_id":"02a39f35-8fdc-457a-ba44-43f87fb50c79","year":2024},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:bd07be417eceab67a59101f0cc01a7c0aef590a5617ce809ac3be5b05a9ff4f3","observation_id":"6465498d-920c-4e97-9fb1-bd3b95ba87df","resolution":{"observed_at":"2026-05-21T13:04:11.680186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"P osition-aided beam prediction in the real world: How useful GPS locations a ctually are?","venue":null,"work_id":"a2cd74c3-28a6-4677-8ec3-36afb597aaca","year":2023},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:6997dd4d07400a7a7e6928b48adcad991f41c2283be101738e5deb12e3ad8595","observation_id":"1d7f39d7-542f-45ed-8e63-49ee7b705715","resolution":{"observed_at":"2026-05-21T13:04:11.682385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Radar aided 6G beam predic tion: Deep learning algorithms and real-world demonstration","venue":null,"work_id":"5b30c84e-6923-41a1-ba34-28ee46daa041","year":2022},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:50da0e1dff974848817f267892adcc3a1d216543e131bbfbdfe2e25b047449c8","observation_id":"0191353d-c2b6-49f2-9182-1188f5f4e9e9","resolution":{"observed_at":"2026-05-21T13:04:11.675897Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lid ar aided wireless networks-beam prediction for 5G","venue":null,"work_id":"c97c9d10-46c0-46fe-8726-949403f323d4","year":2022},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:fe98c9104fda3fc9b5f557e9c3c8a9cea6e7d54dd1c11017a375fa501e3d4d79","observation_id":"59477db5-e900-4e18-8428-798c672d5b4e","resolution":{"observed_at":"2026-05-21T13:04:11.672981Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vision-position multi-modal beam prediction using real m illimeter wave datasets","venue":null,"work_id":"58899ebc-52ad-4bb3-97c6-9deb3010d7b6","year":2022},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:6d6cf39f4b6a6da74d0c34d0cbbe591a7285f07e76f0537aeb43bcaa503c4e80","observation_id":"2216e3fb-f6c0-4b7b-a457-f8eb3e889810","resolution":{"observed_at":"2026-05-21T13:04:11.668010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sensing-assisted high reliable communication: A transfo rmer- based beamforming approach","venue":null,"work_id":"bbfb1a60-5daf-48ab-bd14-fa997681c00f","year":2024},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:0b8c71275c20dfc49c00a467eeed60e484c1de6e5df4d68c41c97b592a9f29dd","observation_id":"ff1cd515-b23b-4785-9978-7cdf920cb76b","resolution":{"observed_at":"2026-05-21T13:04:11.686936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Advancing mul ti- modal beam prediction with cross-modal feature enhancemen t and dynamic fusion mechanism","venue":null,"work_id":"a16ad65d-66d0-4f20-91b9-1a9063d7430b","year":2025},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:349d9f283f4de5fbb39ece8dce4f9623bb3c866fe0c9a06a797cb4bbeadd4a13","observation_id":"c3704b15-8e2c-461d-a486-a28ac7837752","resolution":{"observed_at":"2026-05-21T13:04:11.670866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2504.05187","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Resource-efficient beam pre- diction in mmwave communications with multimodal realistic simulation framework","venue":null,"work_id":"6ef1808c-7c4d-4e38-b631-d0bdd8aacf11","year":2025},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:218636656e0ae9b320d2588a2830f8079f2e83735965a79a4d2e57f2c675b346","observation_id":"7cd3d3b7-e606-47fa-93a0-80c21cbfd5b7","resolution":{"observed_at":"2026-05-10T07:47:13.010975Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lidar aided futu re beam prediction in real-world millimeter wave V2I communicatio ns","venue":null,"work_id":"b059906a-b79b-4bc6-9be5-ade5f828fd9a","year":2023},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:51d18bb8dda2d5fa636a31dfdfb2bfd07772a2f5851a86d875be8bccc6d405ed","observation_id":"0d2c60bf-ad57-467f-95dd-a25a2778907f","resolution":{"observed_at":"2026-05-21T13:04:11.661226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Millimeter wave V2V beam tracking using radar: Algorithms and real-world demonstra tion","venue":null,"work_id":"e7f7ae9e-7470-4511-b44b-1984eadf6e77","year":2023},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:65bb44d752650d7fd6acea2f29cc319899670c01dad8d02e96df43092b67ee39","observation_id":"a64374ef-b1e0-42ba-8d12-740613640a49","resolution":{"observed_at":"2026-05-21T13:04:11.665655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Attention-enhanced learning for sensing-assisted long- term beam tracking in mmWave communications","venue":null,"work_id":"a118e9ea-c920-44b8-af0f-bc40a236a69c","year":2026},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:ca8d5cdda7447bab40105c92232029370ebe31f1adc8a560232c021bfb35a6be","observation_id":"77d37a7c-6216-4416-83ea-2efa3adc1da8","resolution":{"observed_at":"2026-05-21T13:04:11.663392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.11419","last_updated":"2026-05-20T09:29:52Z","snapshot_observed_at":"2026-05-23T23:01:00.532877Z","submitted_at":"2025-09-14T20:12:18Z","title":"Knowledge Distillation for Sensing-Assisted Long-Term Beam Tracking in mmWave Communications","version":3},"cited_work":{"arxiv_id":"2509.11419","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.11419","snapshot_observed_at":"2026-07-02T07:36:44.729055Z","title":"Knowledge distillation for sensing-assist ed long- term beam tracking in mmWave communications","venue":"eess.SP","work_id":"ea834081-0889-483c-99d5-5d1eee2ec945","year":2025},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"cited_paper":"/paper/2509.11419","citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:96efb3b4a923699f4af1876dca3dbfa336a690c9399c55fe8fbc9f018340cdd9","observation_id":"66922d02-c208-4088-a596-26419e4c6684","resolution":{"observed_at":"2026-05-21T02:04:52.038621Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-04T21:53:30.646644Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":"1704.04861","doi":null,"metadata_source":"pith","pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-07-04T20:10:08.732666Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","venue":"cs.CV","work_id":"3870239a-c950-4625-bf33-c4f902d14175","year":2017},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:687a71b9b615484bd25174f083fc884232da5607a538590dbaae08bc8da66871","observation_id":"f4900ce3-8833-4036-8b6a-5407e82e12b8","resolution":{"observed_at":"2026-05-11T02:50:41.039820Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Attention is all you ne ed","venue":null,"work_id":"5065a2af-b691-4c4a-b3c5-584be9a2aaec","year":2017},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:af4b4e1f206d7e6321a8a075c9d246f398725ab679519a6109ebd44e3f0545ef","observation_id":"7d176bac-3cd3-4427-873f-b30cd3382b2c","resolution":{"observed_at":"2026-05-21T13:04:11.694642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Focal loss for dense object detection","venue":null,"work_id":"763795df-6129-4055-b578-7e1e1521cee9","year":2017},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:b143f60bff33c32e64b142bcf4dafee9e84ad1f0f81035e60d2ff6c2d12eabff","observation_id":"9152349a-37fe-4809-902e-f415866a8cdf","resolution":{"observed_at":"2026-05-21T13:04:11.692388Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deepsense 6G: A large-scale real-world multi-modal sensing and communication dataset","venue":null,"work_id":"b4e0ae7b-8ed9-4de3-bfd6-8b9ece291318","year":2023},"citing_paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T07:37:23.849555Z"},"links":{"citing_paper":"/paper/2604.16708"},"observation_digest":"sha256:8656537cc8f594bb6a7be31e5a0cbb5c7941ec7116ae57735e007fbe75a79558","observation_id":"35ecb498-232b-4ef8-9039-a5e6c8af24eb","resolution":{"observed_at":"2026-05-21T13:04:11.689437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"reason":"named_source_frontier_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2604.16708","last_updated":"2026-04-17T21:18:12Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-05-10T07:40:27.539487Z","submitted_at":"2026-04-17T21:18:12Z","title":"Knowledge Distillation for Lightweight Multimodal Sensing-Aided mmWave Beam Tracking"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":3,"verified_fuzzy":14},"total_outbound_references":17},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[],"thesis":"As of 14 July 2026, this Paper Citation Record lists 17 of 17 outbound references and 1 inbound Pith citation observation for arXiv:2604.16708."}