{"as_of":"2026-08-07T12:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b51846249e76fdd1202d0cefe7c16b90d8a306336679e2367045847fb5530e3a","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:36:34.326476Z","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":"2026-05-23T01:05:16.477250Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.09410","last_updated":"2025-01-16T09:36:32Z","snapshot_observed_at":"2026-07-06T20:21:50.886212Z","submitted_at":"2025-01-16T09:36:32Z","title":"MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models","version":1},"cited_work":{"arxiv_id":"2501.09410","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.09410","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Yang, Jian Wu, and Meng Zhang","venue":null,"work_id":"9f1bd2a7-ad91-462e-87e4-92501061a29f","year":2025},"citing_paper":{"arxiv_id":"2503.08223","last_updated":"2026-04-09T15:28:27Z","snapshot_observed_at":"2026-07-06T20:50:33.513259Z","submitted_at":"2025-03-11T09:41:29Z","title":"Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices","version":3},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-23T01:03:26.037233Z"},"links":{"cited_paper":"/paper/2501.09410","citing_paper":"/paper/2503.08223"},"observation_digest":"sha256:d6ee510f50119fe7e0d765ee8e92844fe70c3805e740d6b244533021f89ca678","observation_id":"b1aebb35-e76a-415e-8470-1548c2eb8a77","resolution":{"observed_at":"2026-05-23T01:05:16.479630Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09410","last_updated":"2025-01-16T09:36:32Z","snapshot_observed_at":"2026-07-06T20:21:50.886212Z","submitted_at":"2025-01-16T09:36:32Z","title":"MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09410","snapshot_observed_at":"2026-08-06T21:36:34.326476Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.23762","last_updated":"2025-06-30T12:09:29Z","snapshot_observed_at":"2026-08-06T21:29:49.550137Z","submitted_at":"2025-06-30T12:09:29Z","title":"Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead","version":1},"reference_index":152,"source":"pdf_text","source_observed_at":"2026-08-06T21:36:34.326476Z"},"links":{"cited_paper":"/paper/2501.09410","citing_paper":"/paper/2506.23762"},"observation_digest":"sha256:8ab7e65240e9859ca7a9e58235701234617a8601da612df558eb3f83b4816088","observation_id":"ce0e1d10-43db-43c2-9978-882172760e83","resolution":{"observed_at":"2026-08-06T21:36:34.326476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09410","last_updated":"2025-01-16T09:36:32Z","snapshot_observed_at":"2026-07-06T20:21:50.886212Z","submitted_at":"2025-01-16T09:36:32Z","title":"MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.09410","snapshot_observed_at":"2026-08-06T15:06:47.875762Z","title":"Moe2: Optimizing collaborative inference for edge large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.16731","last_updated":"2025-07-22T16:13:43Z","snapshot_observed_at":"2026-08-06T15:00:33.300567Z","submitted_at":"2025-07-22T16:13:43Z","title":"Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T15:06:47.875762Z"},"links":{"cited_paper":"/paper/2501.09410","citing_paper":"/paper/2507.16731"},"observation_digest":"sha256:ac6e9c903ce8bacab6d428b2ceb900e99d12682fb8f72d1ecbe9e6f764e02786","observation_id":"70db2372-76c3-471d-830d-f75024a99334","resolution":{"observed_at":"2026-08-06T15:06:47.875762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.09410/citation-record","integrity":"/paper/2501.09410/integrity","json":"/paper/2501.09410/citation-record.json","paper":"/paper/2501.09410"},"outbound":[],"paper":{"arxiv_id":"2501.09410","last_updated":"2025-01-16T09:36:32Z","latest_version":1,"primary_category":"cs.NI","snapshot_observed_at":"2026-07-06T20:21:50.886212Z","submitted_at":"2025-01-16T09:36:32Z","title":"MoE$^2$: Optimizing Collaborative Inference for Edge Large Language Models"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.09410."}