{"as_of":"2026-08-11T10:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2f2f8173f929f041f8511f2b4fd8e8742a1ff6758ae68e9d874e0e64117fd0a1","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T22:20:54.663202Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2501.02181/citation-record","integrity":"/paper/2501.02181/integrity","json":"/paper/2501.02181/citation-record.json","paper":"/paper/2501.02181"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.227528Z","title":"SMDP-Based Dynamic Batching for Efficient Inference on GPU-Based Platforms,","venue":null,"work_id":"246e4603-4c30-42eb-8942-b638164fb84f","year":2023},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.490659Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:d834dd7df6d9f169c7d334132027fc6005b0f0d2cbaeb5e506980ed1d04b50fa","observation_id":"37ed3401-def8-42fb-812c-0d39af2459c1","resolution":{"observed_at":"2026-08-10T22:20:55.231206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.218208Z","title":"GPU Implementation of Neural Networks,","venue":null,"work_id":"66617b38-d21d-4554-b743-4fcdf2a0248b","year":2004},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.495611Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:d10e1690340e8a94675e7281a6d1dcd7fd3d6ee725e48e22a251d60f545b9a63","observation_id":"487f1e51-353b-4ca3-9eca-19eacf370b6d","resolution":{"observed_at":"2026-08-10T22:20:55.221445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.208238Z","title":"MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving,","venue":null,"work_id":"57129b8a-4a9b-4378-8e00-bc4cf1afb98e","year":2019},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.499371Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:492e54f4421f0b38cb6867b34c6ab74430680fa36d31f616d87511a1c14df7ca","observation_id":"5467cd0f-dc72-4dcb-9cbf-59b1936408ca","resolution":{"observed_at":"2026-08-10T22:20:55.211913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.198566Z","title":"Clipper: A Low-Latency Online Prediction Serving System,","venue":null,"work_id":"dfc26c73-2f4f-4969-a424-e12eb0bf901b","year":2017},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.503288Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:10da1e81c038ea8bb274dd49c589c1f11164d96630605156ddf59ef1cd461404","observation_id":"2d076523-0dc6-49e2-9efc-60d7713515d2","resolution":{"observed_at":"2026-08-10T22:20:55.201960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.187414Z","title":"McDRAM: Low Latency and Energy-Efficient Matrix Computations in DRAM,","venue":null,"work_id":"2cb71676-ed05-4a64-a2f6-e2d69c4dea0b","year":2018},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.506975Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:50bde650502b9b71f9d7770a2f66ff10094c0634b01a5520c5b233d43745c141","observation_id":"65744db7-3a11-4af1-841b-239fb9b76a28","resolution":{"observed_at":"2026-08-10T22:20:55.191107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"1907.10701","last_updated":"2019-10-22T06:07:55Z","snapshot_observed_at":"2026-08-03T06:07:39.760319Z","submitted_at":"2019-07-24T20:18:28Z","title":"Benchmarking TPU, GPU, and CPU Platforms for Deep Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.10701","snapshot_observed_at":"2026-08-10T22:20:54.510900Z","title":"Benchmarking TPU, GPU, and CPU Platforms for Deep Learning,","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.510900Z"},"links":{"cited_paper":"/paper/1907.10701","citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:186636948d7ef1f9b7404b7b383bbdf145c4b179031bacb3e51f0a85e78e67f9","observation_id":"9e3fd83b-15ff-4cd7-8d42-2c4a41d379e5","resolution":{"observed_at":"2026-08-10T22:20:54.510900Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.177649Z","title":"NVIDIA AI inference platform technical overview,","venue":null,"work_id":"856714d6-ae83-4512-a77e-7531b415500a","year":2018},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.515200Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:e6a55b29a106ea292f44cfb7bb49760be331675449df19c15fc419fd3ff5a4fc","observation_id":"75d66414-3005-44ef-9b9d-d9c7ad91766c","resolution":{"observed_at":"2026-08-10T22:20:55.181306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.167669Z","title":"EAIS: Energy-Aware Adaptive Scheduling for CNN Inference on High-Performance GPUs,","venue":null,"work_id":"4bf3e2db-a1d7-4957-bde1-96f4de24aa79","year":2022},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.518579Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:ac9115154916abf4c104d19cfd89d697d51c6eaab47d9f6a50b2e0432a0133d6","observation_id":"38b11f89-4ff1-4849-9825-8e2ac3c56410","resolution":{"observed_at":"2026-08-10T22:20:55.171061Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.158200Z","title":"Energy-Efficient Online Scheduling of Transformer Inference Services on GPU Servers,","venue":null,"work_id":"4d40b168-f807-499c-b121-fc9bbe12509e","year":2022},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.521998Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:6c2c8ce1d20fe035ea43c461bc3f2ad491bad2bdfa53e63651fef62545a96397","observation_id":"4849ae03-3cc2-44fc-938b-6f302fef9e76","resolution":{"observed_at":"2026-08-10T22:20:55.161649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.148057Z","title":"Packrat: Automatic Reconfiguration for Latency Minimization in CPU- Based DNN Serving,","venue":null,"work_id":"38959552-b27b-4b1c-9091-0c55aec6f3b2","year":2023},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.525260Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:fdfa5bcb0e59ea720b6611560e9c67e5708c18d62665d01fb8a164af22d3acff","observation_id":"68fa8748-f9c9-4aef-9d79-43edfc1df205","resolution":{"observed_at":"2026-08-10T22:20:55.151563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.138436Z","title":"Coordinated Batching and DVFS for DNN Inference on GPU Accelerators,","venue":null,"work_id":"d6d8f2c4-e958-4719-973f-ebd8c9f9acb3","year":2022},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.528464Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:1c6a9e9d03c2873426ddc4f7ee03748c9d7d5941ee0163165cc06d8046ddbc4a","observation_id":"8d30126f-7d9c-47ef-869b-52c93317ffa8","resolution":{"observed_at":"2026-08-10T22:20:55.141704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.127781Z","title":"BATCH: Machine Learning Inference Serving on Serverless Platforms with Adaptive Batching,","venue":null,"work_id":"dfed3185-9365-429c-a75f-9456afa44ad1","year":2020},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.532100Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:6815f9254c9b93b34f1160f4116f878cb75e3c6b98fcbea22e573019adc47e59","observation_id":"5f6b7a63-1f71-4b2e-8235-eb337db52103","resolution":{"observed_at":"2026-08-10T22:20:55.131212Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.117355Z","title":"CoFB: Latency-Constrained Co- Scheduling of Flows and Batches for Deep Learning Inference Service on the CPU–GPU System,","venue":null,"work_id":"cae2f003-8c35-473c-92f2-ce19b4b51c73","year":2023},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.535131Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:602804e51dac25379379736815a783741abdcdc22da13f8944c4b47c90bf877e","observation_id":"14d344ed-2f74-4e27-a070-70b023100ddb","resolution":{"observed_at":"2026-08-10T22:20:55.120993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.107777Z","title":"Lazy Batching: An SLA-Aware Batching System for Cloud Machine Learning Inference,","venue":null,"work_id":"3197c29a-297f-4a80-95ac-4fe54d528488","year":2021},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.538329Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:6071b5c61516611369d3d4bee2e3d294ae8e1e0f8e7ea7ab124d79f0e2de2298","observation_id":"3588160d-e94e-4bcc-aad4-9747ca98f184","resolution":{"observed_at":"2026-08-10T22:20:55.110982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.098965Z","title":"E2Bird: Enhanced Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services,","venue":null,"work_id":"8650a4a6-3f99-466e-888c-82e82c3122ac","year":2021},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.541257Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:d43b28aac50b8ddb81aebff70e0c6859b3712b6924f4227b7ee53919f4fb2251","observation_id":"2c2bca44-e07c-4c2c-bdad-5bea79d0f09d","resolution":{"observed_at":"2026-08-10T22:20:55.102308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.089697Z","title":"Google cloud prediction API documentation,","venue":null,"work_id":"50fa44c7-057e-4d43-a13e-2754f9b80c7f","year":2017},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.544088Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:2c58685ea78781cd8e51dfda8e6464dca759b6534efdf6542c19ed627f3453aa","observation_id":"f857fd11-b58d-4b6c-b510-79cc4f2601c1","resolution":{"observed_at":"2026-08-10T22:20:55.092831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.080519Z","title":"Going Deeper with Convolutions,","venue":null,"work_id":"2ab2a0ce-350d-4b44-b2da-84a13a0bed11","year":2015},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.547145Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:29e52bec13a5fddceccb333c3b9cc61df2977cb46521dbee1f941e6356272753","observation_id":"f95df59a-277d-4897-b04b-f4fc7f172386","resolution":{"observed_at":"2026-08-10T22:20:55.083666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.070724Z","title":"Virtual Batching: Request Batching for Server Energy Conservation in Virtualized Data Centers,","venue":null,"work_id":"0abfdad1-ecd5-48ef-a0fb-4cd5637d821a","year":2012},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.550174Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:2fb00c77dd0b7f62352aaadd521dd43cb9651a699e9291cd20ee7c7157371d23","observation_id":"12ab70f3-0ca2-49d5-862d-260fb6cc3f95","resolution":{"observed_at":"2026-08-10T22:20:55.074463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.059757Z","title":"Adaptive Scheduling Parallel Jobs with Dynamic Batching in Spark Streaming,","venue":null,"work_id":"f97291af-3a77-4560-84bd-787307a6bafe","year":2018},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.553231Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:34b8a794d84d59a1bd7eee2a54af61b37b90213c8120d020b4150e43f5a6f369","observation_id":"953763a2-e38b-413a-82fd-73b4beed563b","resolution":{"observed_at":"2026-08-10T22:20:55.063109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"2007.11831","last_updated":"2022-11-03T08:15:20Z","snapshot_observed_at":"2026-08-02T17:24:59.253889Z","submitted_at":"2020-07-23T07:31:55Z","title":"DBS: Dynamic Batch Size For Distributed Deep Neural Network Training","version":2},"cited_work":{"arxiv_id":"2007.11831","doi":null,"metadata_source":"pith","pith_arxiv_id":"2007.11831","snapshot_observed_at":"2026-08-10T22:20:54.693331Z","title":"DBS: Dynamic Batch Size For Distributed Deep Neural Network Training","venue":"cs.LG","work_id":"df5a978e-43dd-4cc5-a5e0-f0d36e5433c4","year":2020},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.556208Z"},"links":{"cited_paper":"/paper/2007.11831","citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:2e42bd6f0afd28cc8cc26fd24fc9acdb926030c361a39ac9ed27be9254096004","observation_id":"8a40e6e0-c157-4d0d-943c-11bd8b96af4b","resolution":{"observed_at":"2026-08-10T22:20:54.699456Z","resolver_source":"local_arxiv","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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.048962Z","title":"Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training,","venue":null,"work_id":"9962fd07-8ab9-4af3-8788-57a05b8e8301","year":2023},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.560213Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:c0b0d8db09e70c9ecc99625395bce5f11f213e5f316c7e0b93d5671a8f4d26ef","observation_id":"2588cac0-9b77-42a3-9fe5-0596b51aa399","resolution":{"observed_at":"2026-08-10T22:20:55.052565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.036602Z","title":"Energy- Latency Tradeoff for Dynamic Computation Offloading in Vehicular Fog Computing,","venue":null,"work_id":"0b0f8e8e-6495-4708-87ab-5db1360ba64a","year":2020},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.563822Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:1ee7d667ca849500dc6e1dd57a8719c67e9fb050da033a2f84fc9acca2d89bbd","observation_id":"7fc49125-b1a2-4d7e-b6f8-f35d0ae729cb","resolution":{"observed_at":"2026-08-10T22:20:55.040998Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.024118Z","title":"QoS and Fairness Oriented Dynamic Computation Offloading in the Internet of Vehicles based on Estimate Time of Arrival,","venue":null,"work_id":"b50b603b-829b-4977-8b1f-02eec0992647","year":2024},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.567577Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:bb924f08e141149f759eca6b86d0f1515f78e46c565183ca4f1bfdae81ef3d3c","observation_id":"aa111f3e-6c0d-45c1-9660-87d0aff16d86","resolution":{"observed_at":"2026-08-10T22:20:55.027988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.013917Z","title":"Smart Healthcare: RL-Based Task Offloading Scheme for Edge-Enable Sensor Networks,","venue":null,"work_id":"46992ffd-0568-4945-a62c-99d629bfc958","year":2021},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.572202Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:8078abe93ec47d508c2c7a951e5ddf0c0bd34c5acbf41963e983fbaa8e5ca1bb","observation_id":"deca11b8-ba76-4fa2-9511-76520c742468","resolution":{"observed_at":"2026-08-10T22:20:55.017557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:55.002295Z","title":"SERF: Efficient Scheduling for Fast Deep Neural Network Serving via Judicious Parallelism,","venue":null,"work_id":"c9763de7-d87b-4257-8329-dd50553dd90f","year":2016},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.575648Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:cda94277e7bcee228bd19dee23e8a44d86db2395cb7d61c93d32ca5e6de324c6","observation_id":"18634052-c4a4-43df-85db-7c029a5a774d","resolution":{"observed_at":"2026-08-10T22:20:55.006210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.992002Z","title":"AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving,","venue":null,"work_id":"c372b977-17e5-49c6-a1b5-3e9828108277","year":2023},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.579057Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:5c01705fead00fd82429383ac83e76d60c730c8f5163ea24de87a4b01fc7d35d","observation_id":"537233b0-608e-490b-aa5f-a9335177b6d8","resolution":{"observed_at":"2026-08-10T22:20:54.995748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.981307Z","title":"Swift Machine Learning Model Serving Scheduling: A Region Based Re- inforcement Learning Approach,","venue":null,"work_id":"8bf359f4-aba2-42e0-bc4c-d24bd5098804","year":2019},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.582562Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:4e0ba3346d94e53307e85b9bc32d392eea74e589fd9e77980cd8ff018dad7895","observation_id":"10cfc59f-a086-40bb-ba22-cc628b1d89b7","resolution":{"observed_at":"2026-08-10T22:20:54.985261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.969936Z","title":"The Markov-Modulated Poisson Process (MMPP) Cookbook,","venue":null,"work_id":"5297278f-5dcd-48ab-9502-2da423ec122e","year":1993},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.586408Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:9e2c0f295be95a668e9302636b626860a307861993ab063e0bcdf0d1aaab459d","observation_id":"4a112f16-037c-4e16-a304-6ffaec9a88bb","resolution":{"observed_at":"2026-08-10T22:20:54.973797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.958726Z","title":"Queueing Analysis of GPU-Based Inference Servers with Dynamic Batching: A Closed-Form Characterization,","venue":null,"work_id":"9934cf56-eefb-4d5e-be37-71d59aba36e9","year":2021},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.589948Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:489451ea179cd960d6c5aab3c3ed54cd4c3670c812731bf60ca844431e5a6555","observation_id":"3548bce6-d655-4a5e-b840-20c52b6b8f93","resolution":{"observed_at":"2026-08-10T22:20:54.962613Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.947055Z","title":"Control and Optimization of Batch Processes,","venue":null,"work_id":"63969fe6-a535-4145-ba7b-d0cda544d391","year":2006},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.593390Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:2c2e425f6d5907714273c2269b5a5f51261dff13c2e6786627831abe46b5737a","observation_id":"f8ea57de-c10a-44c5-b2c8-fb5c1ec7bd4f","resolution":{"observed_at":"2026-08-10T22:20:54.950744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.935967Z","title":"Bulk Service Queueing Models-A Survey,","venue":null,"work_id":"8595e3d3-4be8-434c-9a1a-83269a3da13e","year":2016},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.596816Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:5a2773f17abfe851f69b276a85d6e19f4b0258d11757c54812f0a5c44dec1762","observation_id":"4e88ae0c-032b-42cf-8f4a-105425ec9085","resolution":{"observed_at":"2026-08-10T22:20:54.939720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.924805Z","title":"A Survey of Scheduling with Parallel Batch (p-Batch) Processing,","venue":null,"work_id":"b671435a-ede3-41c7-9872-7edf376b0d68","year":2022},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.600048Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:dce2f8e83dd727b0892f8f39503b9162af854660f0c08c432ead3fa1251325d3","observation_id":"13ceea65-5d74-4269-94a9-6d59065d18a5","resolution":{"observed_at":"2026-08-10T22:20:54.928540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.913770Z","title":"Optimal Control of Batch Service Queues,","venue":null,"work_id":"46c0a1a8-1f96-4785-8896-21bf828d2014","year":1973},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.603483Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:b5a8645cb200004fb9bcfc1ca84aea7bb25aa989c3a3acf85c57366c5892dad1","observation_id":"4894899d-a7db-4668-bc89-5069f1bc9468","resolution":{"observed_at":"2026-08-10T22:20:54.917375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.903328Z","title":"Optimal bulking threshold of batch service queues,","venue":null,"work_id":"98356ed0-8145-4f23-953d-94929a233710","year":2017},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.607190Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:f7967959faa7dce35bb22ce88c2a17e9dc981d403a57463c1cbfaa307d982b97","observation_id":"62780a7b-ad98-455c-a68f-af1a763ec805","resolution":{"observed_at":"2026-08-10T22:20:54.906678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.892177Z","title":"Multiuser Co-Inference With Batch Processing Capable Edge Server,","venue":null,"work_id":"b63f9051-18a3-40fe-aa61-88ace67efefb","year":2022},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.610839Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:c283d22c47bbdabed2fd7b958db22e2e427c8e4cfd758d932f4fb0637c1f3fbf","observation_id":"6b08c3ab-b420-4af9-8b48-b8ff3c8672b7","resolution":{"observed_at":"2026-08-10T22:20:54.895831Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.881237Z","title":"Latency and Throughput Characterization of Convo- lutional Neural Networks for Mobile Computer Vision,","venue":null,"work_id":"b687bfa5-9709-409c-a3a4-9462d4e2c3c9","year":2018},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.614863Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:6554759085610ba4ea672c3b4bc485bbfdc5a2cf124c3339fdb950d71a77c70a","observation_id":"0db9b71b-8a43-4f8a-b1c4-7b52e42ebdc8","resolution":{"observed_at":"2026-08-10T22:20:54.884900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.871029Z","title":"A General Class of Bulk Queues with Poisson Input,","venue":null,"work_id":"a93e8389-7aa7-4f05-a4f4-c8c2483bc99b","year":1967},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.618328Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:4a7b4fef81ae8151ce4a71628effc4d1a570350340237279809592da592694fc","observation_id":"5f951e37-6a56-4415-953f-362bcc26bd53","resolution":{"observed_at":"2026-08-10T22:20:54.874398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.860296Z","title":"Analysis and Optimal Control of a Queue with Infinite Buffer Under Batch-Size Dependent Versatile Bulk-Service Rule,","venue":null,"work_id":"7c488b64-bb41-4e9b-bef3-99e98a7ad611","year":2015},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.621788Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:40f892e4fb339abec3ba6018f4e71195dc46ee993306f645b3f4e773a153e3af","observation_id":"3661ebcf-f6c4-40a0-9196-b07bc720946a","resolution":{"observed_at":"2026-08-10T22:20:54.863765Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.849045Z","title":"On the Distribution of an Infinite-Buffer Queueing System with Versatile Bulk-Service Rule Under Batch-Size-Dependent Service Policy: M/G(a,y) n /1,","venue":null,"work_id":"5aa5bef1-e1c1-48e1-8590-05fe16e4b04c","year":2020},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.625111Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:1d30b0d429df4c3dcf5a093ac8738498b384900887afeef72af5aedb3b8dca2a","observation_id":"9459fa40-9d68-4b49-a0f7-0735bb237c76","resolution":{"observed_at":"2026-08-10T22:20:54.853028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.837557Z","title":"Analysis of Infinite Buffer General Bulk Service Queue with State Dependent Balking,","venue":null,"work_id":"590df63e-b6d9-46cc-87a8-e81e3a5bfb50","year":2021},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.628625Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:ac194a9d0ca8baccb2e9297faaa49af6a6a0acfb55d89df09a6f8a4e0ae120da","observation_id":"02a174ca-d0c8-4694-9aaf-fc6fd46a8aca","resolution":{"observed_at":"2026-08-10T22:20:54.841447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.825755Z","title":"Exploiting Structure in Adaptive Dynamic Programming Algorithms for a Stochastic Batch Service Problem,","venue":null,"work_id":"a12dd327-c61f-412f-8138-b2f0f5edf6b3","year":2002},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.632133Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:4950dc22d1bc2a5e9e04a6d4b71fa25b2d094c28ffd40c28202add448f4c602c","observation_id":"e4821f4e-c06d-4050-af58-0ddab294cbf4","resolution":{"observed_at":"2026-08-10T22:20:54.829654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.815023Z","title":"A Load-Balancing Problem for Distributed Bulk-Service Queues with Size-Dependent Batch Processing Times,","venue":null,"work_id":"bc57bb15-0ac2-4bf1-80c3-b92123adf695","year":2022},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.635688Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:c8c9ebb01156fa3d3fde29f57bb5748e6c6b8e5e1c310a73fc1c8bffa2f9635d","observation_id":"2ec71262-0383-4bee-b9e5-1c71b0406fa5","resolution":{"observed_at":"2026-08-10T22:20:54.818748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.803932Z","title":null,"venue":null,"work_id":"286c7640-1be7-43d2-b86c-987e73728794","year":1994},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.639246Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:7712c775b16bf3505dc15f662283a3e1ff432725bc1a9d737269c306dd1931e4","observation_id":"c488c11f-66db-4341-aebc-e799543577db","resolution":{"observed_at":"2026-08-10T22:20:54.807800Z","resolver_source":"raw_fallback","status":"unresolved"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.793075Z","title":"Finite State Approximation Algorithms for Average Cost Denumerable State Markov Decision Processes,","venue":null,"work_id":"53bc4fc7-23a2-471b-b1be-58e41726aae5","year":1985},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.643063Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:525f7ffef426e02a30cba86a8cca15a00f92bf5fffa0bde6c45164a0fb49fe54","observation_id":"2b66fb8c-79df-4dcb-b1d2-5b9e01944f31","resolution":{"observed_at":"2026-08-10T22:20:54.796594Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.780712Z","title":"Finite State Approximations for Denumerable State Infinite Horizon Discounted Markov Decision Processes with Unbounded Re- wards,","venue":null,"work_id":"5f5d0651-c8d2-4bf4-8b8f-e46f29bccccb","year":1982},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.646703Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:bc059e84ff4a77835761d8d5fc9ee5ac8a015b910d97f78abbedbdcc0ca1c753","observation_id":"48d5f4e9-32ba-4f25-8cdf-8e2225795e1d","resolution":{"observed_at":"2026-08-10T22:20:54.785055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.768660Z","title":"A Proof for the Queuing Formula: L = λW,","venue":null,"work_id":"30ebac73-aa00-4ed9-af79-a38518778578","year":1961},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.649881Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:77c0c83c1d1ac63a57bb93dcb3584b74b7be719f06c339b1e5883bb2330aece0","observation_id":"1b5c6f64-3812-4db3-9526-c10753dcd493","resolution":{"observed_at":"2026-08-10T22:20:54.772431Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.757020Z","title":"Optimal Control of Batch Service Queues with Finite Service Capacity and Linear Holding Costs,","venue":null,"work_id":"2512a368-9cf6-472f-92c9-5c9e63b9b7f6","year":2000},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.653017Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:f77969a907ab276a32efc40a8fcc550cc44e9f5da0830b1c609ef00d66796431","observation_id":"953f8eaf-ef80-41ad-a3cd-468c2950001b","resolution":{"observed_at":"2026-08-10T22:20:54.761066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.744804Z","title":"The Computation of Optimal Control Limits for a Queue with Batch Services,","venue":null,"work_id":"785ec8a9-68aa-4823-86d5-8d06ef059b9a","year":1979},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.656334Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:321034b568cb012e0df3b6df4aad4e918ee3c24893db2c78f0ce11d926af218f","observation_id":"c69c3b54-f41f-4680-a22b-2501278d96e4","resolution":{"observed_at":"2026-08-10T22:20:54.748987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.732153Z","title":"Optimal Dispatching of an Infinite-Capacity Shuttle: Control at a Single Terminal,","venue":null,"work_id":"67ff42c9-d5e1-4954-aad0-b6c9c3fd886f","year":1974},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.660019Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:7deb63a4d31e7fb112cfae59d74750ca2d438738f29a38b20ebb0f668fe3b7b9","observation_id":"6513b5ff-0633-42b6-8034-b0eac649d82c","resolution":{"observed_at":"2026-08-10T22:20:54.736283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T22:20:54.720558Z","title":"Average Cost Semi-Markov Decision Processes and the Control of Queueing Systems,","venue":null,"work_id":"6a8daea8-bb28-45a7-8f0d-263fe6749b13","year":1989},"citing_paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-10T22:20:54.663202Z"},"links":{"citing_paper":"/paper/2501.02181"},"observation_digest":"sha256:da2eb0e91a090a18c91ec8d44d74b09adf597187224ae6482c5a9d0954107e0b","observation_id":"3840680b-7e09-4609-8814-cc56f95c9325","resolution":{"observed_at":"2026-08-10T22:20:54.724409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2501.02181","last_updated":"2025-01-04T04:14:09Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-10T22:12:00.787774Z","submitted_at":"2025-01-04T04:14:09Z","title":"SMDP-Based Dynamic Batching for Improving Responsiveness and Energy Efficiency of Batch Services"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":47},"total_outbound_references":50},"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 11 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2501.02181."}