{"as_of":"2026-08-19T05:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:deb8325db07ba36d0a546fbdb68cd3a8810afe7943fb08a18884e20c7e66beab","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T18:53:34.922704Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2607.17175/citation-record","integrity":"/paper/2607.17175/integrity","json":"/paper/2607.17175/citation-record.json","paper":"/paper/2607.17175"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T18:53:33.225349Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.225349Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:1692abfb2eab2c5a5eab792c1b239932cb3cbd4a4b3fe70d6b422e861841dabe","observation_id":"ac091ef7-5dea-4b3a-9340-49c8b30f18fe","resolution":{"observed_at":"2026-08-01T18:53:33.225349Z","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":"2026-08-01T18:53:33.287008Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.287008Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:83133f600f989b789092d0b414e6067b4159730d7cb0dfdd0bdccc88ac43f9cb","observation_id":"dde0dfdb-2fcd-4598-8410-4dde3e0fdbcb","resolution":{"observed_at":"2026-08-01T18:53:33.287008Z","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":"2026-08-01T18:53:33.376317Z","title":"In: Intl","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.376317Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:6d666792c8d11da843440a14c75c025fdbad8966b8b7de170e3990a1c804dff5","observation_id":"09a6227f-58de-4ff1-86e5-94e05c8722c0","resolution":{"observed_at":"2026-08-01T18:53:33.376317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16587","last_updated":"2024-10-02T13:22:27Z","snapshot_observed_at":"2026-08-16T13:49:18.779674Z","submitted_at":"2024-05-26T14:38:24Z","title":"Cost-Effective Online Multi-LLM Selection with Versatile Reward Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16587","snapshot_observed_at":"2026-08-01T18:53:33.486859Z","title":"arXiv preprint arXiv:2405.16587 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.486859Z"},"links":{"cited_paper":"/paper/2405.16587","citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:8336bf26edee5b4a5fe45c9afa3370e2d15f8f642776bb879868c4954f353f65","observation_id":"9e1e8682-e6a4-4652-a8a4-5565d3de9a4d","resolution":{"observed_at":"2026-08-01T18:53:33.486859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16508","last_updated":"2025-05-29T08:56:27Z","snapshot_observed_at":"2026-08-10T11:07:58.045454Z","submitted_at":"2025-05-22T10:43:00Z","title":"Edge-First Language Model Inference: Models, Metrics, and Tradeoffs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16508","snapshot_observed_at":"2026-08-01T18:53:33.574946Z","title":"arXiv preprint arXiv:2505.16508 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.574946Z"},"links":{"cited_paper":"/paper/2505.16508","citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:6f8d4ed6ef8cd2b58f05680963f109c84022e5b2c2be612e298a0911ac11a9f3","observation_id":"9e71d968-f40e-48f0-a08e-a510de7abd32","resolution":{"observed_at":"2026-08-01T18:53:33.574946Z","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":"2026-08-01T18:53:33.714719Z","title":"In: Intl","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.714719Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:46a6628e9fe0150cdc2028198a02c77bc2d72584e026fcf3f0f45d43d23bba8e","observation_id":"586d9ccc-75e2-4097-b84b-3efcb4af8d41","resolution":{"observed_at":"2026-08-01T18:53:33.714719Z","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":"2026-08-01T18:53:33.853632Z","title":"In: Proc","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.853632Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:aace14893f86b6700722089cfc7f773fc78adada401af071d6c20859862ab149","observation_id":"57c71c1b-cd19-455b-a1cc-5d94f3f4a1e5","resolution":{"observed_at":"2026-08-01T18:53:33.853632Z","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":"2026-08-01T18:53:33.996164Z","title":"In: The 13th Intl","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:33.996164Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:3ecb7f0fee7588ba0bf142b4a90cabf4413e63343188f1754fb06e71c3ed1276","observation_id":"678e394a-abc0-4592-8f6a-c2a7b957f71b","resolution":{"observed_at":"2026-08-01T18:53:33.996164Z","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":"2026-08-01T18:53:34.193627Z","title":"In: 51st Intl","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:34.193627Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:c464564ee8aca2e062be2d0332286a6a800b83f023700b89fafef34f326deff6","observation_id":"a239a624-8563-4feb-9a26-cc14e6c8644d","resolution":{"observed_at":"2026-08-01T18:53:34.193627Z","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":"2026-08-01T18:53:34.327533Z","title":"In: Proc","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:34.327533Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:092851e915256fdfb72e7f06225638939b77c3d2eceab884f5d3c0164534645b","observation_id":"ac0bbc4c-cfd8-4bde-9f62-1d21489c0c02","resolution":{"observed_at":"2026-08-01T18:53:34.327533Z","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":"2026-08-01T18:53:34.480149Z","title":"In: Intl","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:34.480149Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:9357d466d7ed0e8919ebc65788d9fe56b8df9461c38a3174da0d3639f920b76a","observation_id":"8c57a024-bf9d-4ac1-b6a8-bf217f73eb9c","resolution":{"observed_at":"2026-08-01T18:53:34.480149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14205","last_updated":"2025-01-24T03:21:20Z","snapshot_observed_at":"2026-08-17T20:47:39.296333Z","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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.14205","snapshot_observed_at":"2026-08-01T18:53:34.664986Z","title":"arXiv preprint arXiv:2501.14205 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:34.664986Z"},"links":{"cited_paper":"/paper/2501.14205","citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:c1e16829afae226f0ea8b1a8394e77bf05f52efbd777648f62dd97453a1e9772","observation_id":"aae32842-d1be-4de0-846a-af0918afdbb6","resolution":{"observed_at":"2026-08-01T18:53:34.664986Z","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":"2026-08-01T18:53:34.779906Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:34.779906Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:2ecc042d2352fac486ec36be1f6987e741bbcb0f60c97f23d0e121c728c79ee6","observation_id":"d78b5ec7-222e-45e7-9dc0-7879bb6cc985","resolution":{"observed_at":"2026-08-01T18:53:34.779906Z","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":"2026-08-01T18:53:34.922704Z","title":"IEEE Internet of Things Journal (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T18:53:34.922704Z"},"links":{"citing_paper":"/paper/2607.17175"},"observation_digest":"sha256:390b38260e1a8b82181535205548aa7a22ccf9c33f700f57e8b46cd21426d6e8","observation_id":"64c76f45-6dac-455e-a6ad-1b778b623ba4","resolution":{"observed_at":"2026-08-01T18:53:34.922704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.17175","last_updated":"2026-07-19T10:21:30Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-18T18:20:59.791839Z","submitted_at":"2026-07-19T10:21:30Z","title":"LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":14},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.17175."}