{"as_of":"2026-08-10T01:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b26863c2741aaf8aeab815c3de2ff196220f9cb2fcf5fb432150af8217afbc4f","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T23:33:09.433685Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2602.13628/citation-record","integrity":"/paper/2602.13628/integrity","json":"/paper/2602.13628/citation-record.json","paper":"/paper/2602.13628"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.606756Z","title":"Generative ai agents with large language model for satellite networks via a mixture of experts transmission,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.606756Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:1f8b5ad0ce7a42dd18503696cf102473ec136b5aa0877d31e83d09a60832cf99","observation_id":"3c7e214c-3d62-46e5-99b3-91fbf32ab0f2","resolution":{"observed_at":"2026-08-02T23:33:05.606756Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.648868Z","title":"Deep generative model and its applications in efﬁcient wireless network management: A tutorial and case study,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.648868Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:a405c0182b6bd45cbd8ecefd7c0ae164b624221aede541b49ece1a69cb748bdf","observation_id":"a29a47ca-31c2-4e64-9031-7ca6678aea78","resolution":{"observed_at":"2026-08-02T23:33:05.648868Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.695535Z","title":"Language models are few-shot learners,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.695535Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:051a0f8e8879b08a5204847c4af20d8c386cc72ebc5bb219f6a6a01d1e5f028d","observation_id":"6c403cbb-98fb-44ba-8744-b70afbeaa980","resolution":{"observed_at":"2026-08-02T23:33:05.695535Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.741181Z","title":"Toward democratized generative ai in next-generation mobile edge networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.741181Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:7906b69c4e8963b3abb40bac19eff791177024d7aa523d69e98b6e6ca092740d","observation_id":"b696251a-627d-46f5-8a2a-2c5879b5cfd2","resolution":{"observed_at":"2026-08-02T23:33:05.741181Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.796774Z","title":"Mobile edge intelligence for large language models: A contemporary survey,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.796774Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:7e05afe02402ff553a33c6b102f17575dac65d854f7e26d8e1d16ef94c401b45","observation_id":"f41ae847-d054-4b9e-a5e3-72d46c81ba79","resolution":{"observed_at":"2026-08-02T23:33:05.796774Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.869519Z","title":"Beyond the cloud: Edge inference for generative large language models in wireless networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.869519Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:c3c0f4f0b6e3602f89d0431c5fcb992bc7b640ac4a30ca9777e2c55bba86a842","observation_id":"d0b9087d-657a-4a91-ab67-b2384add7e48","resolution":{"observed_at":"2026-08-02T23:33:05.869519Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.923810Z","title":"Llm-pruner: On the structural pruning of large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.923810Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:0d55f4ec6502e9300b896bbcc1aa8edda1f7eb380d2b43881f864af155c9db2b","observation_id":"fb65aa8d-9620-47ee-b875-db719e1e453c","resolution":{"observed_at":"2026-08-02T23:33:05.923810Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:05.972043Z","title":"Survey on knowledge distillation for large language models: methods, evaluation, and application,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:05.972043Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:e06e0b977c0cc11210e15594d6829acd233fe197e5908e13794533d4c10aa9a2","observation_id":"b63eddb6-3fad-4fbb-b0ef-f0b4004e1d41","resolution":{"observed_at":"2026-08-02T23:33:05.972043Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.046370Z","title":"Smoothquant: Accurate and efﬁcient post-training quantization for large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.046370Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:5dce5433149c9394089cc06e325bf6072cbf73f611b3b11b2c80cd0579187144","observation_id":"0f05d887-180e-42ec-9e99-35e9349ae07a","resolution":{"observed_at":"2026-08-02T23:33:06.046370Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.125794Z","title":"Large language models (llms) inference ofﬂoading and resource allocation in cloud-edge computing: An active inference approach,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.125794Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:2e81bb1ebf0021043d8c5f29f700f708beceff25e1e22b13b649029306d20110","observation_id":"a102f0a7-6c4d-4f1c-8a1b-b0b4545d9dc5","resolution":{"observed_at":"2026-08-02T23:33:06.125794Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.205667Z","title":"Efﬁcient acceleration of deep learning inference on resource-constrained edge devices: A review,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.205667Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:033331e8c5bc84a27b1c21363be4e520356deac7e0d97ac8163ecaa422803e0c","observation_id":"ffb17922-e551-417d-8cd7-c6fc912fbc42","resolution":{"observed_at":"2026-08-02T23:33:06.205667Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.258486Z","title":"Securing federated diffusion model with dynamic quantization for generative ai services in multiple-access artiﬁcial intelligence of things,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.258486Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:15202f6979616e088ec24da7d54b215e7928ee4021013bef8cf9edf3659d4444","observation_id":"df5f499f-801b-441c-bed3-4b0fd63bdb3e","resolution":{"observed_at":"2026-08-02T23:33:06.258486Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.333771Z","title":"Edgeshard: Efﬁcient llm inference via collaborative edge computing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.333771Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:30209dae7e257dc161c8587fec09663b7f623a5fb5e62ca5156f1200637148e5","observation_id":"b6ebff3f-6949-4dad-92f6-3fb939603c6f","resolution":{"observed_at":"2026-08-02T23:33:06.333771Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.418152Z","title":"A review on edge large language models: Design, execution, and applications,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.418152Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:c604d0ef2257d7c2b857b852169adfc009872e0e6006076fd8e3a8ab13aa48f7","observation_id":"501f1bd0-e268-4fb9-a33b-aa02cda4c293","resolution":{"observed_at":"2026-08-02T23:33:06.418152Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.472952Z","title":"Qos-constrained medium access prob- ability optimization in wireless interference-limited networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.472952Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:6ae76d1b30fb3ee47fd870e7776226afd102dbb530a7a48beb20e747754de0cd","observation_id":"0d678100-1cec-42d2-8a81-a7014722dc7a","resolution":{"observed_at":"2026-08-02T23:33:06.472952Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11055","last_updated":"2025-06-04T01:15:49Z","snapshot_observed_at":"2026-08-06T14:52:52.028018Z","submitted_at":"2024-09-17T10:31:37Z","title":"Exploring the Trade-Offs: Quantization Methods, Task Difficulty, and Model Size in Large Language Models From Edge to Giant","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11055","snapshot_observed_at":"2026-08-02T23:33:06.552815Z","title":"Exploring the trade-offs: Quantization methods, task difﬁculty, and model size in large language models from edge to giant,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.552815Z"},"links":{"cited_paper":"/paper/2409.11055","citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:dc9465221ee29b64ce231e3a767e707bf551ca6d841f152e0cac7b4d284bbc4a","observation_id":"2903b5b3-1a66-4b5a-a7f7-5c4531b220ce","resolution":{"observed_at":"2026-08-02T23:33:06.552815Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.606562Z","title":"Sparsegpt: Massive language models can be accurately pruned in one-shot,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.606562Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:4307afab7da43dca2719f6cf258e0f0124d14acf09c7823945494411818f535a","observation_id":"42711c42-4f3a-488b-ae2c-8aef087c7a9e","resolution":{"observed_at":"2026-08-02T23:33:06.606562Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.660869Z","title":"Qlora: Efﬁcient ﬁnetuning of quantized llms,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.660869Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:8db0108e00aa81a346868980d05fada66703885173999abd6a36302697f25521","observation_id":"91c8a6a1-4f7f-4aa5-9538-00e3436886bd","resolution":{"observed_at":"2026-08-02T23:33:06.660869Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.740621Z","title":"Low-rank few-shot adaptation of vision- language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.740621Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:aaa20d9c6bcbe16ad19355f65023dd14c9e8d98d4f9234fabbc30546cdb4a780","observation_id":"0e00c2f6-aa14-4e55-aeb9-d43a6d462cd8","resolution":{"observed_at":"2026-08-02T23:33:06.740621Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.754639Z","title":"Deep learning for intelligent wireless networks: A comprehensive survey,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.754639Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:9a9146efd6356a02d7f629c0312260136fd3f662f9e493b7e71ee23e4bcb15f5","observation_id":"64c60fdd-cada-45f5-8e4c-873d58da1f54","resolution":{"observed_at":"2026-08-02T23:33:06.754639Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.761148Z","title":"A drl agent for jointly optimizing computation ofﬂoading and resource allocation in mec,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.761148Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:8ae933076ff6adda84a62ea15929009fec94c49fe55c7149a7e2cc0917e82f4e","observation_id":"b2509125-ec50-4e45-846e-bb3098308591","resolution":{"observed_at":"2026-08-02T23:33:06.761148Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.823344Z","title":"Meta-dt: Ofﬂine meta-rl as con- ditional sequence modeling with world model disentanglement,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.823344Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:8e843237fd941c1fc50e4cebf1c80e89ae9dd4a511a3b7d758dcece0afa23763","observation_id":"3e52756e-512f-43ee-a2f4-cbdb9135d121","resolution":{"observed_at":"2026-08-02T23:33:06.823344Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.913451Z","title":"Daydreamer: World models for physical robot learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.913451Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:3004003b61aa682afe8422a0ffef1722a6c69aad4f74cfdb8174b810ed488104","observation_id":"d1a2c815-daef-4289-8efb-9c856cc09d19","resolution":{"observed_at":"2026-08-02T23:33:06.913451Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:06.990038Z","title":"Cardreamer: Open-source learning platform for world model based autonomous driving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:06.990038Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:ef103164b1f02f15aa7105fcd237ba81d08f984a0690f09f640244a51137fcaa","observation_id":"100447f9-8f0b-4083-a07a-b4d1a58485fd","resolution":{"observed_at":"2026-08-02T23:33:06.990038Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.055252Z","title":"The effectiveness of world models for continual reinforcement learning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.055252Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:ff48bdefbf7f223e21db5286f7309528672de1c25c96bcc28c777fb7ceb5b9a3","observation_id":"c5ace297-c78b-498f-8256-147a4f659033","resolution":{"observed_at":"2026-08-02T23:33:07.055252Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.122379Z","title":"Birds in cages: Edge inference allocation for distributed llm deployment,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.122379Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:f70b70bcf54d7825ce92d01d8e218d844610afc891cdd0dceb90f0a309a13b49","observation_id":"18fffd09-a622-4dd6-9fac-1f9481f93b3a","resolution":{"observed_at":"2026-08-02T23:33:07.122379Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.195565Z","title":"Edge and terminal cooperation enabled llm deployment optimization in wireless network,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.195565Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:008c992838f1eb2262b9a72f198e94c372339383057ca911aed8260bec3fec5c","observation_id":"064e65a2-a686-450e-ade3-50e746db885e","resolution":{"observed_at":"2026-08-02T23:33:07.195565Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.269463Z","title":"Pushing large language models to the 6g edge: Vision, challenges, and opportunities,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.269463Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:fbcea1339049ae0e99293bac503c1faddadd57a88ca6c409c9e62d559590984c","observation_id":"2376ee33-e59a-44d3-8680-fc65ac70dda2","resolution":{"observed_at":"2026-08-02T23:33:07.269463Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.352827Z","title":"A matching game for llm layer deployment in heterogeneous edge networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.352827Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:639203c39e3fbc7d80d9ca14788d6bf230f8461d209e20a0f5489fc11f27909e","observation_id":"e8817674-a158-40da-813b-a2bfe09bb40f","resolution":{"observed_at":"2026-08-02T23:33:07.352827Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.411990Z","title":"Edge-llm: A collaborative framework for large language model serving in edge computing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.411990Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:37dbe2c4b9983973181b17b35a46a6f9ffdbba1a8e1c8d9a5a20c31a4e1c34b8","observation_id":"8581a333-2d48-4dd6-b33b-3db53fd05564","resolution":{"observed_at":"2026-08-02T23:33:07.411990Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.488709Z","title":"Decentralized llm deployment in mobile edge computing networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.488709Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:3769cc3fc8b2541348cb0760f39ad83db033d42e771cf39122fc481da455d1b2","observation_id":"e66d6dac-8b13-42ea-be44-b096ec14cab5","resolution":{"observed_at":"2026-08-02T23:33:07.488709Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:07.568219Z","title":"Compact lan- guage models via pruning and knowledge distillation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.568219Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:80184019c8d08f446548560b77c2bc013dc0f2b96ed26006b7b3488a4cc4be54","observation_id":"0e26edfc-fdb7-454f-aa01-408fb90f7ced","resolution":{"observed_at":"2026-08-02T23:33:07.568219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.01712","last_updated":"2025-08-01T15:47:48Z","snapshot_observed_at":"2026-08-09T22:55:31.258381Z","submitted_at":"2025-05-03T06:23:18Z","title":"World Model-Based Learning for Long-Term Age of Information Minimization in Vehicular Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.01712","snapshot_observed_at":"2026-08-02T23:33:07.672873Z","title":"World model-based learning for long-term age of information minimization in vehicular networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.672873Z"},"links":{"cited_paper":"/paper/2505.01712","citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:848a5702924d64c33a47be1675e3a211cc9c4e3adfe113a3d3214e92363caffa","observation_id":"c97f9a57-b65b-4e29-aa56-80a8fe2e8b61","resolution":{"observed_at":"2026-08-02T23:33:07.672873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2507.09462","last_updated":"2025-07-13T02:59:13Z","snapshot_observed_at":"2026-08-06T17:52:57.659179Z","submitted_at":"2025-07-13T02:59:13Z","title":"MobiWorld: World Models for Mobile Wireless Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.09462","snapshot_observed_at":"2026-08-02T23:33:07.835136Z","title":"Mobiworld: World models for mobile wireless network,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.835136Z"},"links":{"cited_paper":"/paper/2507.09462","citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:c97cb9c307639b5acc8fd1eaff391d199ed329691fae0bdeaff93266f138ce72","observation_id":"04196acc-f3d1-4aaf-9160-08c57d09a651","resolution":{"observed_at":"2026-08-02T23:33:07.835136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.00417","last_updated":"2025-05-31T06:43:00Z","snapshot_observed_at":"2026-08-07T12:03:35.109497Z","submitted_at":"2025-05-31T06:43:00Z","title":"World Models for Cognitive Agents: Transforming Edge Intelligence in Future Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.00417","snapshot_observed_at":"2026-08-02T23:33:07.950270Z","title":"World models for cognitive agents: Transforming edge intelligence in future networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:07.950270Z"},"links":{"cited_paper":"/paper/2506.00417","citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:68ce5ea4b7884add46d34bce29f50ae677d0d5a4222d05de30da3c9dfa79a1d7","observation_id":"5fa89a4e-0fdc-4bc0-ad18-e5b3c017d604","resolution":{"observed_at":"2026-08-02T23:33:07.950270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.05972","last_updated":"2026-06-11T13:39:23Z","snapshot_observed_at":"2026-08-09T10:38:14.334794Z","submitted_at":"2025-11-08T11:28:58Z","title":"DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.05972","snapshot_observed_at":"2026-08-02T23:33:08.050365Z","title":"Dwm-ro: Decentralized world models with reasoning ofﬂoading for swipt-enabled satellite-terrestrial hetnets,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.050365Z"},"links":{"cited_paper":"/paper/2511.05972","citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:775d5aeedeaa9131a995c052a9da9f6801b4b96ecf1c5f72c9d9ad18bd50e669","observation_id":"cd87c3f6-640f-4837-ade3-37e02f9cfb3c","resolution":{"observed_at":"2026-08-02T23:33:08.050365Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:08.152679Z","title":"Hape: Hardware-aware llm pruning for efﬁcient on-device inference optimization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.152679Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:421a32f0cac783491230d4e8f52191747cbbda1856803969e46972cf237b0e4b","observation_id":"b0b11fa4-f5bb-4ba6-b7a8-50f7c5896b29","resolution":{"observed_at":"2026-08-02T23:33:08.152679Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.11796","last_updated":"2024-12-09T18:31:01Z","snapshot_observed_at":"2026-08-07T10:56:20.468878Z","submitted_at":"2024-08-21T17:38:48Z","title":"LLM Pruning and Distillation in Practice: The Minitron Approach","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.11796","snapshot_observed_at":"2026-08-02T23:33:08.237234Z","title":"Llm pruning and distillation in practice: The minitron approach,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.237234Z"},"links":{"cited_paper":"/paper/2408.11796","citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:57deb887fe8ab71ba305bdc6aa0f09f3b4af2cf5c88a834e9250001dfdd57f3e","observation_id":"63ff44be-917f-4b7c-aef1-aa25c18f4ae9","resolution":{"observed_at":"2026-08-02T23:33:08.237234Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:08.353408Z","title":"Agile-quant: Activation-guided quantization for faster inference of llms on the edge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.353408Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:a9f8065674cf1984051fd0eee86055a9c2cd0b576dacfd7abb4a55d23d8bf738","observation_id":"8edefd09-c88a-43f6-ac82-dd8591312527","resolution":{"observed_at":"2026-08-02T23:33:08.353408Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:08.513399Z","title":"Halo: Hardware-aware quantization with low critical-path-delay weights for llm acceleration,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.513399Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:518f2ec5c6ccb21b33511ed3eecac8fb8f758a6dc7a1f9f20e80802870a28adb","observation_id":"95713150-63a7-4da9-90a3-73ea6e54f0d0","resolution":{"observed_at":"2026-08-02T23:33:08.513399Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:08.673894Z","title":"TVM: An automated End-to-End optimizing compiler for deep learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.673894Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:952946f9e51a370d911735879af3fc8332032e3844183caaeb041cd48992de00","observation_id":"88412659-20f3-467d-9ef6-cd44f09c556a","resolution":{"observed_at":"2026-08-02T23:33:08.673894Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:08.834972Z","title":"The value of semantic parse labeling for knowledge base question answering,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.834972Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:cc6e23f871bae4bb9328b76d74bf75bf410113b190573b56dcac7b596a405aed","observation_id":"b7e7216d-ac50-43a1-8e88-3483ad0215a2","resolution":{"observed_at":"2026-08-02T23:33:08.834972Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:08.997666Z","title":"Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:08.997666Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:ce03b32a2c3db2ef7e6abf0b27370b3bb92e55a5ad224ffabf65f9d06333b3ed","observation_id":"bb6b2f34-380c-4357-b21c-ae3c31e25953","resolution":{"observed_at":"2026-08-02T23:33:08.997666Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:09.169875Z","title":"Energy efﬁciency maximization in ris-assisted swipt networks with rsma: A ppo-based approach,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:09.169875Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:b85b78c3b53fe194534f0512d7e1c5d07c6ca580dbf8132d8fe70b2cd38b439e","observation_id":"f7faf309-1c6d-46e4-b814-db0b53bc2aaf","resolution":{"observed_at":"2026-08-02T23:33:09.169875Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:09.335760Z","title":"Ris-assisted wireless powered mec: Multiple access design and resource allocation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:09.335760Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:e081e57d5b52666363c81d462770fa7b77d5e696e878f885d78ef01889978140","observation_id":"27eb3b8f-6b6c-4c63-906d-22e5aaefbaf1","resolution":{"observed_at":"2026-08-02T23:33:09.335760Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T23:33:09.433685Z","title":"Joint robust power control and task scheduling for vehicular ofﬂoading in cloud-assisted mec networks,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-02T23:33:09.433685Z"},"links":{"citing_paper":"/paper/2602.13628"},"observation_digest":"sha256:55c434c3ee8e60551cd26d9f7eef8034f3225c505abb96617c4293c2beefeee7","observation_id":"84ebc880-3675-45b1-afc9-28288b442184","resolution":{"observed_at":"2026-08-02T23:33:09.433685Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.13628","last_updated":"2026-06-10T14:16:41Z","latest_version":3,"primary_category":"cs.NI","snapshot_observed_at":"2026-08-07T10:57:19.767630Z","submitted_at":"2026-02-14T06:37:29Z","title":"Compact LLM Deployment and World Model Assisted Offloading in Mobile Edge Computing"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":46,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":46},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2602.13628."}