{"as_of":"2026-08-13T15:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a96b6194b4d8198baafdfc44687bd34180e2ea0c37207893cef5e265c99c067b","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:22:25.854759Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","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":"2026-06-30T20:32:17.658231Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T20:35:02.502384Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"cited_work":{"arxiv_id":"2506.14288","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.14288","snapshot_observed_at":"2026-06-30T20:35:02.502384Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","venue":null,"work_id":"71d048af-9c6b-4fcb-babb-61df3774bf0b","year":2025},"citing_paper":{"arxiv_id":"2605.14661","last_updated":"2026-05-31T20:33:06Z","snapshot_observed_at":"2026-08-06T18:17:53.229008Z","submitted_at":"2026-05-14T10:16:45Z","title":"LLM-Enabled Automated Algorithm Design for Multiuser Fluid Antenna Communications","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T20:32:17.658231Z"},"links":{"cited_paper":"/paper/2506.14288","citing_paper":"/paper/2605.14661"},"observation_digest":"sha256:4600f28351acd7ef1e7ffbd0e91847c3628bb088296e844df0520684126263a4","observation_id":"12107696-cc6c-4921-9f0e-9f6d97752d07","resolution":{"observed_at":"2026-06-30T20:35:02.504202Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.14288/citation-record","integrity":"/paper/2506.14288/integrity","json":"/paper/2506.14288/citation-record.json","paper":"/paper/2506.14288"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:23.622922Z","title":"A tutorial on fluid antenna system for 6G networks: Encompassing communication theory, optimization methods and hard- ware designs,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:23.622922Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:4bf99318baf9684d86fcaca09ba201bc77de976165fcdaaae20ff0fcb1a2aae7","observation_id":"202e76bd-2d9b-4b90-b079-ecae681a354d","resolution":{"observed_at":"2026-08-07T00:22:23.622922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_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":"2026-08-07T00:22:29.045541Z","title":"Virtual FAS by learning-based imaginary antennas,","venue":null,"work_id":"30a6a168-f8d1-4e87-b035-4313a2fa520b","year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:23.854900Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:5faeb098f45091d27d7c8349eab4be95037c48080c0b5807eb388a86970b7439","observation_id":"244b2286-3950-45bc-bb07-e7769ed55995","resolution":{"observed_at":"2026-08-07T00:22:29.168307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:28.710997Z","title":"Fluid antenna system liberating multiuser MIMO for ISAC via deep reinforcement learning,","venue":null,"work_id":"55e50f38-b40d-4f2c-8f94-b1655526a340","year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:24.013246Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:472e18d14b232aa5903d9fb79b58e9e79eb549721a3dcea4b360a72db680e400","observation_id":"eed40649-b0e4-4bdc-b05c-4394a50c6f17","resolution":{"observed_at":"2026-08-07T00:22:28.874749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:28.494751Z","title":"AI-empowered fluid antenna systems: Opportunities, challenges, and future directions,","venue":null,"work_id":"726bdf5e-db2c-4944-b790-fffe85083fda","year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:24.084838Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:1cb7645f4cbf831f7ed686fe6f360786e741c2e4c18afe3f28b986837d15e4f1","observation_id":"c6ed6b5d-5fa2-4fde-a114-ef1a4a9329c6","resolution":{"observed_at":"2026-08-07T00:22:28.624909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12622","last_updated":"2025-02-18T08:08:19Z","snapshot_observed_at":"2026-08-10T10:14:12.108378Z","submitted_at":"2025-02-18T08:08:19Z","title":"Generative AI Enabled Robust Data Augmentation for Wireless Sensing in ISAC Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12622","snapshot_observed_at":"2026-08-07T00:22:24.170671Z","title":"Generative AI enabled robust data augmentation for wireless sensing in ISAC networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:24.170671Z"},"links":{"cited_paper":"/paper/2502.12622","citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:5c1e648c95ef4f3423e45b8ef3a46899437c9fabd3e30e82012a100038d26351","observation_id":"50838da0-af10-41f6-bd1a-4e9c44100ed4","resolution":{"observed_at":"2026-08-07T00:22:24.170671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_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":"2026-08-07T00:22:28.239946Z","title":"Generative AI agents with large language model for satellite networks via a mixture of experts transmission,","venue":null,"work_id":"604c1809-0012-415a-98a5-07eb3ad7c3c3","year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:24.274737Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:db12a0e7b9c905a04030271e00a556ac2a697e4c2a1c91867f5b6c81b6873e55","observation_id":"f2f06628-0fdb-457d-a867-da6d372b8316","resolution":{"observed_at":"2026-08-07T00:22:28.295963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09751","last_updated":"2025-05-14T19:31:27Z","snapshot_observed_at":"2026-08-09T17:03:44.931464Z","submitted_at":"2025-05-14T19:31:27Z","title":"FAS-LLM: Large Language Model-Based Channel Prediction for OTFS-Enabled Satellite-FAS Links","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09751","snapshot_observed_at":"2026-08-07T00:22:24.504827Z","title":"FAS-LLM: Large language model-based channel prediction for OTFS-enabled satellite- FAS links,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:24.504827Z"},"links":{"cited_paper":"/paper/2505.09751","citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:ae0e818cd68237bc4e709ea44c0d33b5543ad3dc0a534656b71cf52abc2bd295","observation_id":"fbedcce2-97a7-4adc-b662-ad56f3781c96","resolution":{"observed_at":"2026-08-07T00:22:24.504827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.09857","last_updated":"2025-09-01T03:23:46Z","snapshot_observed_at":"2026-08-10T02:33:26.595363Z","submitted_at":"2025-02-14T01:44:57Z","title":"Port-LLM: A Port Prediction Method for Fluid Antenna based on Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.09857","snapshot_observed_at":"2026-08-07T00:22:24.744753Z","title":"Port-LLM: A port prediction method for fluid antenna based on large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:24.744753Z"},"links":{"cited_paper":"/paper/2502.09857","citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:2ce1645f8901d68f6e64290c7d9e0cdbea620605249f10112c7930c3a1f57fca","observation_id":"d76bd04e-48be-4fd1-a9d4-55d9d28af5a5","resolution":{"observed_at":"2026-08-07T00:22:24.744753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_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":"2026-08-07T00:22:27.940106Z","title":"Channel knowledge map aided channel prediction with measurements-based evaluation,","venue":null,"work_id":"e0678223-9e9e-4184-8c50-d4f024162c75","year":2025},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:24.904835Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:fedcab1484c360f32a3d21ccb08baa6c0cc9f83857142c1430bbcc77cf1f2299","observation_id":"cbd627f5-19dc-49fb-8f63-7d1c1de6ddd7","resolution":{"observed_at":"2026-08-07T00:22:28.064775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16854","last_updated":"2024-05-27T06:00:24Z","snapshot_observed_at":"2026-08-12T23:57:28.288749Z","submitted_at":"2024-05-27T06:00:24Z","title":"Knowing What Not to Do: Leverage Language Model Insights for Action Space Pruning in Multi-agent Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16854","snapshot_observed_at":"2026-08-07T00:22:25.044749Z","title":"Knowing what not to do: Leverage language model insights for action space pruning in multi-agent reinforcement learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:25.044749Z"},"links":{"cited_paper":"/paper/2405.16854","citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:de7ce09749dd9c2ceff710f0c5f277f62fea41072b22848f7ae841f3eecdebca","observation_id":"a515bb84-2da3-4549-a36e-0dfdcd90649f","resolution":{"observed_at":"2026-08-07T00:22:25.044749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.13549","last_updated":"2024-11-29T15:51:23Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-06-23T15:21:52Z","title":"A Survey on Multimodal Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.13549","snapshot_observed_at":"2026-08-07T00:22:25.204974Z","title":"A survey on multimodal large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:25.204974Z"},"links":{"cited_paper":"/paper/2306.13549","citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:b4f70d4842607a5c13a3ab82bcd538f013fea93b573655102c99d650d65b8a34","observation_id":"8fae5bc5-e8ea-48a1-9e82-7a66ef7d9d82","resolution":{"observed_at":"2026-08-07T00:22:25.204974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_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":"2026-08-07T00:22:27.705686Z","title":"Benchmarking large language models in retrieval-augmented generation,","venue":null,"work_id":"faacb748-ed53-4ec7-a834-0a6cdbbb557b","year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:25.402036Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:ed4e9c7e56a7a6d9141b2a6ec6dfcab4695c251facdbdd8f6b5e99aad57ef445","observation_id":"2b3ab284-8eff-409c-bc90-793de91723bf","resolution":{"observed_at":"2026-08-07T00:22:27.832121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:27.478143Z","title":"Using large language models for hyperparameter optimization,","venue":null,"work_id":"78ed20f6-8524-420f-9afe-4d2229f37b9a","year":2023},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:25.564895Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:344b61fd9bbf37850faba2cc97fea96e8666a9f05aeaec90b6b0c57f64f6838e","observation_id":"3ea6e156-97c4-4f59-8b7f-1e7245ef7f9c","resolution":{"observed_at":"2026-08-07T00:22:27.554956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:27.056907Z","title":"Llm4cp: Adapting large language models for channel prediction,","venue":null,"work_id":"d1e86072-b8ea-4589-9db0-cceaa973afde","year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:25.756225Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:0627305b150958dcb597c64fac43bd24a4f87180830b23ebbda42434a4fa832c","observation_id":"833b4167-e039-4e5e-9ef7-ac693f504493","resolution":{"observed_at":"2026-08-07T00:22:27.270458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:22:26.787277Z","title":"Reevo: Large language models as hyper-heuristics with reflective evolution,","venue":null,"work_id":"645cae65-c2c5-4668-8faa-2a63783e4941","year":2024},"citing_paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:22:25.854759Z"},"links":{"citing_paper":"/paper/2506.14288"},"observation_digest":"sha256:bcf5a09268836e9d3d00c5d9d3f78750809d9ae7c258882d413b420928993850","observation_id":"475545c1-ca7c-4ed3-955e-fd698265ccfc","resolution":{"observed_at":"2026-08-07T00:22:26.905262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.14288","last_updated":"2025-06-17T08:02:19Z","latest_version":1,"primary_category":"cs.IT","snapshot_observed_at":"2026-08-10T02:33:29.800535Z","submitted_at":"2025-06-17T08:02:19Z","title":"Large Language Model Empowered Design of Fluid Antenna Systems: Challenges, Frameworks, and Case Studies for 6G"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":9},"total_outbound_references":15},"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":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2506.14288."}