{"as_of":"2026-08-18T02:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a7ee00b533f8f370e09c81c6db28b1c6eb51bec8cb4625bf0756dcf0579acf8e","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":"2026-08-15T16:40:57.681998Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.02540/citation-record","integrity":"/paper/2509.02540/integrity","json":"/paper/2509.02540/citation-record.json","paper":"/paper/2509.02540"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T16:40:58.205356Z","title":"Non-Terrestrial Networks: An Overview of 3GPP Release 17 & 18,","venue":null,"work_id":"5cf7aa7f-ccb2-4fdf-956c-71f17bf780c3","year":2024},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.532936Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:33c5e9465f7b54fda61aa745648d72ae1c3a05f89b0dd9e2613e3efbd754221c","observation_id":"78ace5bb-b4e2-4646-b183-7a263d9d73b5","resolution":{"observed_at":"2026-08-15T16:40:58.218122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:58.180697Z","title":"A Survey on Space-Air-Ground-Sea Integrated Network Security in 6G,","venue":null,"work_id":"daaa6c4e-33a5-4075-be8a-de1a8e93aa53","year":2022},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.544816Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:711ed124ab0df3da7336527896d4caa14d49044390e4fd5dd0d6df8a55dc539d","observation_id":"08d5282a-d5e2-4ee4-b49f-1e416cf5681f","resolution":{"observed_at":"2026-08-15T16:40:58.187395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:58.156366Z","title":"Transformer Network Based Channel Prediction for CSI Feedback Enhancement in AI-Native Air Interface,","venue":null,"work_id":"9e97cf92-12e6-44fa-a8f2-682dfeabc765","year":2024},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.553151Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:105b17f83de29824d79c22d005798c11adb1f6b40185004cab16a9ae180d99d4","observation_id":"f389bf97-53d8-43a8-a641-4508f56145f2","resolution":{"observed_at":"2026-08-15T16:40:58.163688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:58.132896Z","title":"Large AI Model-Based Semantic Communications,","venue":null,"work_id":"9442a0e8-064b-46fe-a355-a00d2d184e0b","year":2024},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.561360Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:9abfe05c470273501ed5250e147e3113d1f961c071f1dbac44214802dde04edd","observation_id":"219bb72e-8a79-418d-a573-b6ba06456177","resolution":{"observed_at":"2026-08-15T16:40:58.138930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06877","last_updated":"2025-02-08T12:38:56Z","snapshot_observed_at":"2026-08-17T18:02:43.797207Z","submitted_at":"2025-02-08T12:38:56Z","title":"WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06877","snapshot_observed_at":"2026-08-15T16:40:57.569872Z","title":"WirelessGPT: A Generative Pre-trained Multi-task Learning Framework for Wireless Communication,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.569872Z"},"links":{"cited_paper":"/paper/2502.06877","citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:eaf592f53344766fd1c9ecf9a7dc3213d6dff9f5f4574d14d4a7dddfcc7d5624","observation_id":"092f1678-0221-4b8d-aea3-a70abaa950cc","resolution":{"observed_at":"2026-08-15T16:40:57.569872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-17T18:04:53.578114Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-15T16:40:57.585784Z","title":"LoRA: Low-Rank Adaptation of Large Language Models,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.585784Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:0a3afb9397202019cfd6397dab0faa17bcd1445c38585c99c1e263bee413b503","observation_id":"97bdab98-6cda-4355-8c34-6ecb686da07c","resolution":{"observed_at":"2026-08-15T16:40:57.585784Z","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":"2026-08-15T16:40:58.096736Z","title":"Near-Space Communications: the Last Piece of 6G Space-Air-Ground-Sea Integrated Network Puzzle,","venue":null,"work_id":"76c221d4-129a-454d-b71f-ef69c09871e2","year":2024},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.596593Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:ff86c0e85cc895d05fe6d43164aa2ad5289c56b6855a4cb286b57229674d34a0","observation_id":"e5737328-099d-4bb3-a1f3-344d64aa738a","resolution":{"observed_at":"2026-08-15T16:40:58.107533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:58.066510Z","title":"Hybrid Satellite-UA V-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective,","venue":null,"work_id":"2f52d570-b684-4fe6-9751-4bb41d441fdf","year":2021},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.614868Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:842ee4c15f918bd8ca69284a0123c48c05a5f15e67207b6e93b51dedae2644e2","observation_id":"b2a2cbbf-9bf6-4ef8-9725-1aadf95f4d52","resolution":{"observed_at":"2026-08-15T16:40:58.076746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:58.016013Z","title":"Semantics-Empowered Space-Air-Ground-Sea Inte- grated Network: New Paradigm, Frameworks, and Challenges,","venue":null,"work_id":"2998230c-59bc-4a35-aad9-dacdea7453b2","year":2025},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.628836Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:d7c93f0219d58dd6ed4577ae32f78ca2ebfc879a6112aac0a97cd1d79faf6b22","observation_id":"b91650b9-05c8-4f55-b119-b2eede61bd07","resolution":{"observed_at":"2026-08-15T16:40:58.032839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09751","last_updated":"2025-05-14T19:31:27Z","snapshot_observed_at":"2026-08-15T21:23:05.040593Z","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":"2026-08-15T16:40:57.647980Z","title":"FAS-LLM: Large Language Model–Based Chan- nel Prediction for OTFS-Enabled Satellite-FAS Links,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.647980Z"},"links":{"cited_paper":"/paper/2505.09751","citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:1511ea68708113d90c1a4d610e129df12a39b70f0ef65dc6036699a19bb38dd8","observation_id":"242395a4-aae7-4637-9254-0f66a4fd4a3f","resolution":{"observed_at":"2026-08-15T16:40:57.647980Z","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":"2026-08-15T16:40:57.990725Z","title":"LoRa Technology – An Overview,","venue":null,"work_id":"367ed02d-3e4a-49fb-8af0-8fdfedf7fbb2","year":2018},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.653399Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:e5d6e32e5deaf27a43e97255847148823f5d9405880d4fde7b908e9e7bcf5ae7","observation_id":"cc2fd8d3-c57d-4467-a694-dc839b332de0","resolution":{"observed_at":"2026-08-15T16:40:57.999946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:57.962157Z","title":"The LLaMA 3 herd of models,","venue":null,"work_id":"14f85939-c96a-4194-a0b8-ea46ae4ab3e8","year":2024},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.659211Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:7273cf81388ed112f316366cf509850343d4b3524568a7ba95b86c5a420fdaf2","observation_id":"33e394e2-d1af-426c-9e5e-3c5638181085","resolution":{"observed_at":"2026-08-15T16:40:57.971426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:57.934646Z","title":"A dataset for detection and segmentation of underwater marine debris in shallow waters,","venue":null,"work_id":"cbd79811-ed69-4636-9229-eb435d9dffdf","year":2024},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.665127Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:cd2110d78ac7003f0a15841f5dbf8cbd9414dc277638d1cff05aa1a9a5589627","observation_id":"6af4efcf-213c-40cc-ad36-db7027e3bd76","resolution":{"observed_at":"2026-08-15T16:40:57.945605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-15T16:40:57.899431Z","title":"Deep learning enabled semantic communication systems,","venue":null,"work_id":"e0adbb7c-a66b-4dd4-832b-291885d4abd6","year":2021},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.675225Z"},"links":{"citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:1fcf86ce53e8da3afbd4cc53dfab4d43560fd45ee86204cbac6c4b90ae025e9a","observation_id":"7953493d-7b22-4755-97ae-4488f23e0fc0","resolution":{"observed_at":"2026-08-15T16:40:57.907463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.02413","last_updated":"2025-05-05T07:18:47Z","snapshot_observed_at":"2026-08-17T11:44:54.795639Z","submitted_at":"2025-05-05T07:18:47Z","title":"Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks","version":1},"cited_work":{"arxiv_id":"2505.02413","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.02413","snapshot_observed_at":"2026-08-15T16:40:57.753658Z","title":"Task-Oriented Semantic Communication in Large Multimodal Models-based Vehicle Networks","venue":"cs.AI","work_id":"53966789-3dbe-4394-9869-fde3bb4b1cea","year":2025},"citing_paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T16:40:57.681998Z"},"links":{"cited_paper":"/paper/2505.02413","citing_paper":"/paper/2509.02540"},"observation_digest":"sha256:53d08036521f78b26f82c133a9b25bb2f2560ccebf42f2ed88071d4863516f87","observation_id":"b70d1d67-1807-423f-8144-f35ce3be9971","resolution":{"observed_at":"2026-08-15T16:40:57.762714Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.02540","last_updated":"2025-09-02T17:43:16Z","latest_version":1,"primary_category":"eess.SP","snapshot_observed_at":"2026-08-17T18:03:42.981650Z","submitted_at":"2025-09-02T17:43:16Z","title":"LLM-Enhanced Space-Air-Ground-Sea Integrated Networks"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":11},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2509.02540."}