{"as_of":"2026-08-13T05:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f3c0a76e182ba39fcfd8f683501a6d7553223949456c286af7ff5e15f1901d60","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:59:18.417892Z","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":"2026-05-19T05:27:05.508048Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04014","snapshot_observed_at":"2026-08-12T11:59:18.417892Z","title":"Offline energy-optimal llm serv- ing: Workload-based energy models for llm inference on heterogeneous systems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.17793","last_updated":"2024-11-26T17:43:32Z","snapshot_observed_at":"2026-08-12T20:18:05.272256Z","submitted_at":"2024-11-26T17:43:32Z","title":"Engineering AI Judge Systems","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T11:59:18.417892Z"},"links":{"cited_paper":"/paper/2407.04014","citing_paper":"/paper/2411.17793"},"observation_digest":"sha256:e31abc4debc9a210ba31d1d680b6721182f13303a7e1bebcecbf5f3ae22934df","observation_id":"5746f32f-31dc-40ec-b425-a3aa15be497f","resolution":{"observed_at":"2026-08-12T11:59:18.417892Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04014","snapshot_observed_at":"2026-08-10T20:34:34.718781Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.08262","last_updated":"2025-01-14T17:21:16Z","snapshot_observed_at":"2026-08-12T12:12:48.696575Z","submitted_at":"2025-01-14T17:21:16Z","title":"Addressing the sustainable AI trilemma: a case study on LLM agents and RAG","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T20:34:34.718781Z"},"links":{"cited_paper":"/paper/2407.04014","citing_paper":"/paper/2501.08262"},"observation_digest":"sha256:c155aa043d458fbc65c31b11e956692b6cc2df80de6852b3416679818f38eb89","observation_id":"02a7ef6e-46bd-4a94-8d3d-676a8578f343","resolution":{"observed_at":"2026-08-10T20:34:34.718781Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2407.04014","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04014","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Offline energy-optimal llm serv- ing: Workload-based energy models for llm inference on heterogeneous systems","venue":null,"work_id":"f0b2102a-52b8-4331-a674-9816934f1912","year":2024},"citing_paper":{"arxiv_id":"2507.09942","last_updated":"2026-04-08T20:19:02Z","snapshot_observed_at":"2026-08-06T05:21:57.249029Z","submitted_at":"2025-07-14T05:32:32Z","title":"Green-LLM: Optimal Workload Allocation for Environmentally-Aware Distributed Inference","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-19T05:25:27.501548Z"},"links":{"cited_paper":"/paper/2407.04014","citing_paper":"/paper/2507.09942"},"observation_digest":"sha256:11fbb840dda0de13616f91ed52aaecc86788baf8e0170ef4d5dc80bb580babd8","observation_id":"c07eab1b-1cbf-4902-99da-4d8c2171de48","resolution":{"observed_at":"2026-05-19T05:27:05.511017Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2407.04014","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04014","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Offline energy-optimal llm serv- ing: Workload-based energy models for llm inference on heterogeneous systems","venue":null,"work_id":"f0b2102a-52b8-4331-a674-9816934f1912","year":2024},"citing_paper":{"arxiv_id":"2602.05695","last_updated":"2026-02-23T09:49:19Z","snapshot_observed_at":"2026-08-11T00:04:31.847500Z","submitted_at":"2026-02-05T14:21:00Z","title":"SweetSpot: An Analytical Model for Predicting Energy Efficiency of LLM Inference","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-16T07:05:56.380048Z"},"links":{"cited_paper":"/paper/2407.04014","citing_paper":"/paper/2602.05695"},"observation_digest":"sha256:0beffa566de82d565826705ab5e3370ee676a8ca43001448b0d3c5574a89850f","observation_id":"7890c92f-782f-4a20-ba26-b54ca78b9d55","resolution":{"observed_at":"2026-05-16T07:07:29.562035Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2407.04014","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04014","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Offline energy-optimal llm serv- ing: Workload-based energy models for llm inference on heterogeneous systems","venue":null,"work_id":"f0b2102a-52b8-4331-a674-9816934f1912","year":2024},"citing_paper":{"arxiv_id":"2604.04745","last_updated":"2026-04-06T15:10:43Z","snapshot_observed_at":"2026-08-11T03:38:04.035197Z","submitted_at":"2026-04-06T15:10:43Z","title":"The Energy Cost of Execution-Idle in GPU Clusters","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T19:04:25.951890Z"},"links":{"cited_paper":"/paper/2407.04014","citing_paper":"/paper/2604.04745"},"observation_digest":"sha256:75a1b26bc1c6287600976bd5fec47bc84942a834b127af014502d4775e186b58","observation_id":"31dd7364-56c3-4974-a42f-ed9b15fb2ed5","resolution":{"observed_at":"2026-05-10T23:30:51.549870Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":"2407.04014","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.04014","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Offline energy-optimal llm serv- ing: Workload-based energy models for llm inference on heterogeneous systems","venue":null,"work_id":"f0b2102a-52b8-4331-a674-9816934f1912","year":2024},"citing_paper":{"arxiv_id":"2604.07472","last_updated":"2026-06-05T07:23:00Z","snapshot_observed_at":"2026-07-13T08:29:31.441022Z","submitted_at":"2026-04-08T18:11:09Z","title":"Scalable Joint Resource Allocation for SLO-Constrained LLM Inference in Heterogeneous GPU Clouds","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T18:01:05.284509Z"},"links":{"cited_paper":"/paper/2407.04014","citing_paper":"/paper/2604.07472"},"observation_digest":"sha256:6c4d11fdf2d57a3f76e1884b497db865eb1463ea97879c228e9e69c63412c4ab","observation_id":"4853a9d3-d336-4dee-9693-38352c8ec985","resolution":{"observed_at":"2026-05-11T05:40:57.705651Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04014","snapshot_observed_at":"2026-07-13T08:29:35.019973Z","title":"Offline energy-optimal LLM serving,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.07472","last_updated":"2026-06-05T07:23:00Z","snapshot_observed_at":"2026-07-13T08:29:31.441022Z","submitted_at":"2026-04-08T18:11:09Z","title":"Scalable Joint Resource Allocation for SLO-Constrained LLM Inference in Heterogeneous GPU Clouds","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-13T08:29:35.019973Z"},"links":{"cited_paper":"/paper/2407.04014","citing_paper":"/paper/2604.07472"},"observation_digest":"sha256:59a09b59bd9d16be79dc20951ebecb8647851f52248714a7dcd4ea5b04f52e7e","observation_id":"adce9cb2-c3c7-48e6-b56e-dfd787e32ea2","resolution":{"observed_at":"2026-07-13T08:29:35.019973Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2407.04014/citation-record","integrity":"/paper/2407.04014/integrity","json":"/paper/2407.04014/citation-record.json","paper":"/paper/2407.04014"},"outbound":[],"paper":{"arxiv_id":"2407.04014","last_updated":"2024-07-04T15:45:15Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-12T23:28:42.103876Z","submitted_at":"2024-07-04T15:45:15Z","title":"Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.04014."}