{"as_of":"2026-08-07T23:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0b35ba417e964e73f24109bf2adb4b76072a48b27cfa88f34c73adf98aef6eee","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-07T20:29:21.563562Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2607.05272/citation-record","integrity":"/paper/2607.05272/integrity","json":"/paper/2607.05272/citation-record.json","paper":"/paper/2607.05272"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T15:16:18.847440Z","title":"Machine learning , volume=","venue":null,"work_id":"c1d54d34-8857-4268-be1f-002a7c436d05","year":1992},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:ed581a402c2dcebcbc594bd39e9aa8231c3436d771bb65fbc72550d64527e396","observation_id":"e779a11b-d4b5-48c9-90af-d77ad244eb32","resolution":{"observed_at":"2026-07-07T20:34:09.917871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.894367Z","title":"2018 , publisher=","venue":null,"work_id":"5f6e28e2-443c-4d2a-bc40-d8154624c87a","year":2018},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:8d8454775e944ea4dafe87f23b54b4799fd8177d7cce279b7d1a6dc5546426e5","observation_id":"87cb2451-b513-4f79-aad4-667c24d4f634","resolution":{"observed_at":"2026-07-07T20:34:09.897649Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":"1707.06347","doi":"10.1016/j.artint.2010.12.005","metadata_source":"pith","pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Proximal Policy Optimization Algorithms","venue":"cs.LG","work_id":"240c67fe-d14d-4520-91c1-38a4e272ca19","year":2017},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:15bd3a666e8640f5a87d5c0f737c460673685537d6bf0d2205b3246ecca084d1","observation_id":"fc797cca-1e4e-4c48-a9ba-4a38890de82f","resolution":{"observed_at":"2026-07-07T20:34:09.756769Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.861006Z","title":"2022 , howpublished=","venue":null,"work_id":"6c10cc1d-9e5d-46e3-958e-4936d7cf6146","year":2022},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:208baf544a69352f2a838feccc45c7bf7f19504d0e1ee65809dc7ab1fea316e4","observation_id":"5a720693-239e-40a8-ab6e-de4bf3416cc8","resolution":{"observed_at":"2026-07-07T20:34:09.863108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.888824Z","title":"2022 , howpublished=","venue":null,"work_id":"003c4d1b-8cef-4056-be7c-20dcfc1e2423","year":2022},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:4bffb0bc78f175fe844483a503fd2763215071c7527ef87bd3488591d399ba4b","observation_id":"e3eef668-333e-4b6b-b570-c14e8d303e21","resolution":{"observed_at":"2026-07-07T20:34:09.891671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.865925Z","title":"14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 17) , pages=","venue":null,"work_id":"2871bde4-87db-47b0-a8fe-af7949469906","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:41ea61ad8ae9fa860aaae964d4edfc11380f7d8dde1e4ce300fa2f81eebf3400","observation_id":"15b75b3d-edba-4e3f-8caa-82bacae15d08","resolution":{"observed_at":"2026-07-07T20:34:09.868217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.910662Z","title":"Proceedings of the 29th Symposium on Operating Systems Principles , pages=","venue":null,"work_id":"fa4f8fd5-576e-4dc0-ae3c-76ac66e27816","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:564a82f4c26bcff6b66bf00d38ac010c27f95913a99e69331e8a578f612ece9b","observation_id":"3e9c3dc7-eb28-42ab-849b-7d52a0994c58","resolution":{"observed_at":"2026-07-07T20:34:09.914211Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.919802Z","title":"2024 , howpublished=","venue":null,"work_id":"5de19db5-4652-4ee9-9da8-19bf61a3846a","year":2024},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:269ad98d36988eba7945d7fa18ae85d12a68297c60c1e82a7c9b246fa7860140","observation_id":"716f2154-0eee-43e5-a552-dbf813664376","resolution":{"observed_at":"2026-07-07T20:34:09.922357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.867817Z","title":"16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 22) , pages=","venue":null,"work_id":"ec356e56-43cd-4df6-ae8a-2c97cd66a559","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:b7e9e8dafb33af0a1c4329fa20ec53e68411f4580089a1fd0a0b7e5c6e2fddbc","observation_id":"14c8fce2-f485-4740-8e47-f49f131ce0f4","resolution":{"observed_at":"2026-07-07T20:34:09.869995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.898098Z","title":"2023 , howpublished=","venue":null,"work_id":"0deac676-ba4e-49e1-b169-0744e662aa3a","year":2023},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:c52db05a9eac000aa752d727537928859e140085c3d9df24fd2c331a8135275e","observation_id":"6a49e3ff-69e2-400b-8301-af4bafe13448","resolution":{"observed_at":"2026-07-07T20:34:09.900259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.892996Z","title":"Proceedings of the 15th ACM Workshop on Hot Topics in Networks , pages=","venue":null,"work_id":"ad26a36e-f42a-4572-931f-e829f11bd24b","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:eaca796f2ff025228ed892c6111059608fb7f86d112d8b0a91329aa5ae7e5e32","observation_id":"0723e8b3-d352-4cf0-9ea1-4db43f889cb3","resolution":{"observed_at":"2026-07-07T20:34:09.896761Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.923545Z","title":"SC20: International Conference for High Performance Computing, Networking, Storage and Analysis , pages=","venue":null,"work_id":"daab10fa-768a-4018-9192-706efdf3f570","year":2020},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:3c4efafa20516a09d20cab09c91b7fcfa8758793ee8659cf1359e812f32dcfa6","observation_id":"50105fe9-ccf8-4d07-bf6a-e47fa69edd9d","resolution":{"observed_at":"2026-07-07T20:34:09.926753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.879499Z","title":"2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) , pages=","venue":null,"work_id":"ab0a3ea7-4614-4647-9624-44775dd32cec","year":2021},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:7e2d0838ac072e96a0e24dd8b05b268efdf516a945a3356435312e4660061aba","observation_id":"00451772-49a4-4216-8ebb-97679bb564af","resolution":{"observed_at":"2026-07-07T20:34:09.882805Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.918756Z","title":"IEEE Transactions on Parallel and Distributed Systems , year=","venue":null,"work_id":"acfd7b19-955e-4606-9df1-e4e2784ceb52","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:4eca76eb944486933c89088a025a4d13da925211c64f2206fba97b5cf23aa269","observation_id":"5e4f33d6-ff2c-4933-a9e3-85f0698ad367","resolution":{"observed_at":"2026-07-07T20:34:09.921373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.864306Z","title":"Computer Communications , volume=","venue":null,"work_id":"db81a5b1-5e6a-4912-8b59-0791e64624cd","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:155d06ef022aa69792f0af24c70fa94ec0f7eb551911f9800e990e8627c02c0a","observation_id":"b732f81d-4aa2-4073-b0c2-0588cbde72cf","resolution":{"observed_at":"2026-07-07T20:34:09.866785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.908302Z","title":"2020 USENIX Annual Technical Conference (USENIX ATC 20) , pages=","venue":null,"work_id":"1b3ccc6c-3fb6-46cc-bfb3-5ad129dbc131","year":2020},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:1b809cd2975b10f990362481524a36101a3266121dd1800e30cd42b28c051b3a","observation_id":"4cc5dc16-d4b4-4b27-afa9-72778246fd06","resolution":{"observed_at":"2026-07-07T20:34:09.910663Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.916301Z","title":"2019 , howpublished=","venue":null,"work_id":"693aa88a-9ad4-47fa-8ebc-c446d0e50e71","year":2019},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:217c3f875a3d637c687a585b4d8b0ce3987ff3066f32facd5d934840f4ea6231","observation_id":"c01965d9-948b-4c6e-8d8d-7a078f2551f8","resolution":{"observed_at":"2026-07-07T20:34:09.918469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.904137Z","title":"Google Inc., White Paper , pages=","venue":null,"work_id":"458a2a89-50c0-4942-8143-967b8164a3a6","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:51642930230193137db017c60392dedf1ea6182c27d6ad5c65b9627bd293d210","observation_id":"c1d7e511-bd0d-4666-864a-102597957568","resolution":{"observed_at":"2026-07-07T20:34:09.907064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-07T20:34:09.911908Z","title":"Proceedings of the Fifteenth European Conference on Computer Systems , pages=","venue":null,"work_id":"5efe99fb-b0a5-4b96-ac12-c90ecb91dfc9","year":null},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:1c26cc7b80ecd89e0c9e55e28775c5a68ecda9dab18b6e13f13681d4ecc25830","observation_id":"c1af34d1-f457-468a-a5b9-074db9ddc3e4","resolution":{"observed_at":"2026-07-07T20:34:09.915229Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17644","last_updated":"2025-05-26T16:16:43Z","snapshot_observed_at":"2026-08-06T05:24:39.144385Z","submitted_at":"2024-01-31T07:52:48Z","title":"BurstGPT: A Real-world Workload Dataset to Optimize LLM Serving Systems","version":5},"cited_work":{"arxiv_id":"2401.17644","doi":null,"metadata_source":"pith","pith_arxiv_id":"2401.17644","snapshot_observed_at":"2026-07-07T20:34:09.759421Z","title":"Burstgpt: A real-world workload dataset to optimize llm serving systems","venue":"cs.DC","work_id":"34577abd-227c-452e-afb3-e3922e1bda04","year":2024},"citing_paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-07T20:29:21.563562Z"},"links":{"cited_paper":"/paper/2401.17644","citing_paper":"/paper/2607.05272"},"observation_digest":"sha256:b951b27af4b81e52196c0f1a613f60443e82b30fef973662e8ce7870bfed3b29","observation_id":"bed8a48e-ad5b-4099-8241-2d55c718d579","resolution":{"observed_at":"2026-07-07T20:34:09.762493Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.05272","last_updated":"2026-07-06T16:20:19Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T13:06:49.694760Z","submitted_at":"2026-07-06T16:20:19Z","title":"Adaptive Inference Batching using Policy Gradients"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":20},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.05272."}