{"as_of":"2026-08-12T05:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:21044d266c5db9a654febd987e49ebeac7570e9c38a7eece6efd115880c2c6c6","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:13:14.592654Z","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":"2026-05-24T02:35:55.910499Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.05826","last_updated":"2024-05-31T14:14:00Z","snapshot_observed_at":"2026-07-06T17:41:59.818493Z","submitted_at":"2024-03-09T07:37:13Z","title":"Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks","version":2},"cited_work":{"arxiv_id":"2403.05826","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.05826","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Cached model-as-a-resource: Provisioning large language model agents for edge intelligence in space-air-ground integrated networks","venue":null,"work_id":"49fec1bf-029e-4bd9-a375-7d7349595180","year":2024},"citing_paper":{"arxiv_id":"2404.14204","last_updated":"2026-05-20T02:47:49Z","snapshot_observed_at":"2026-07-06T18:03:42.703304Z","submitted_at":"2024-04-22T14:13:36Z","title":"TrimCaching: Parameter-sharing Edge Caching for AI Model Downloading","version":5},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-24T02:33:52.324469Z"},"links":{"cited_paper":"/paper/2403.05826","citing_paper":"/paper/2404.14204"},"observation_digest":"sha256:9a25a089e1f19ce7523977216db7ff0623ef41098d708a73e202fd4f3d4bfcf5","observation_id":"3351dc53-169c-4b2b-b95d-6b84bf1c3111","resolution":{"observed_at":"2026-05-24T02:35:55.913433Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05826","last_updated":"2024-05-31T14:14:00Z","snapshot_observed_at":"2026-07-06T17:41:59.818493Z","submitted_at":"2024-03-09T07:37:13Z","title":"Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05826","snapshot_observed_at":"2026-08-10T20:13:14.592654Z","title":"Cached model-as-a-resource: Provisioning large language model agents for edge intelligence in space-air-ground integrated networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.09410","last_updated":"2025-01-16T09:36:32Z","snapshot_observed_at":"2026-08-10T20:00:55.219808Z","submitted_at":"2025-01-16T09:36:32Z","title":"MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T20:13:14.592654Z"},"links":{"cited_paper":"/paper/2403.05826","citing_paper":"/paper/2501.09410"},"observation_digest":"sha256:e358db9b274fd50148e4471ac240542cc38b5e04dcf7669291e743343b2442fd","observation_id":"5ec3ad46-cf37-4ed3-98f2-c46d706e07bb","resolution":{"observed_at":"2026-08-10T20:13:14.592654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05826","last_updated":"2024-05-31T14:14:00Z","snapshot_observed_at":"2026-07-06T17:41:59.818493Z","submitted_at":"2024-03-09T07:37:13Z","title":"Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05826","snapshot_observed_at":"2026-08-10T15:19:49.632041Z","title":"Cached model-as-a-resource: Provisioning large language model agents for edge intelligence in space-air-ground integrated networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.14205","last_updated":"2025-01-24T03:21:20Z","snapshot_observed_at":"2026-08-10T15:12:57.502361Z","submitted_at":"2025-01-24T03:21:20Z","title":"Serving Long-Context LLMs at the Mobile Edge: Test-Time Reinforcement Learning-based Model Caching and Inference Offloading","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T15:19:49.632041Z"},"links":{"cited_paper":"/paper/2403.05826","citing_paper":"/paper/2501.14205"},"observation_digest":"sha256:d1ded94c53559de0a688ad03f768e6612822cdc6ee15a467e3e08d22eea4751f","observation_id":"7abc262e-0c74-49b5-b4b3-2dbab7d53f38","resolution":{"observed_at":"2026-08-10T15:19:49.632041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05826","last_updated":"2024-05-31T14:14:00Z","snapshot_observed_at":"2026-07-06T17:41:59.818493Z","submitted_at":"2024-03-09T07:37:13Z","title":"Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05826","snapshot_observed_at":"2026-08-07T13:13:59.149451Z","title":"Cached model-as-a-resource: Provisioning large language model agents for edge intelligence in space-air-ground integrated networks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22311","last_updated":"2025-05-28T12:54:07Z","snapshot_observed_at":"2026-08-09T00:47:56.376478Z","submitted_at":"2025-05-28T12:54:07Z","title":"From Large AI Models to Agentic AI: A Tutorial on Future Intelligent Communications","version":1},"reference_index":160,"source":"pdf_text","source_observed_at":"2026-08-07T13:13:59.149451Z"},"links":{"cited_paper":"/paper/2403.05826","citing_paper":"/paper/2505.22311"},"observation_digest":"sha256:46c8fccabb42e29e12162398a772a2e7459f354ad52ef363c1ac7bb382d4afb3","observation_id":"402ce334-bb6f-4dc8-8df4-87e5b7016ac5","resolution":{"observed_at":"2026-08-07T13:13:59.149451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.05826/citation-record","integrity":"/paper/2403.05826/integrity","json":"/paper/2403.05826/citation-record.json","paper":"/paper/2403.05826"},"outbound":[],"paper":{"arxiv_id":"2403.05826","last_updated":"2024-05-31T14:14:00Z","latest_version":2,"primary_category":"cs.NI","snapshot_observed_at":"2026-07-06T17:41:59.818493Z","submitted_at":"2024-03-09T07:37:13Z","title":"Cached Model-as-a-Resource: Provisioning Large Language Model Agents for Edge Intelligence in Space-air-ground Integrated Networks"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.05826."}