{"as_of":"2026-08-06T14:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2da03ab6f5bd78cb8915c84deb0ece322d347b50c7e5a20e654fcb9eb70a6aaf","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-08T05:45:51.382212Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+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/2605.05527/citation-record","integrity":"/paper/2605.05527/integrity","json":"/paper/2605.05527/citation-record.json","paper":"/paper/2605.05527"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T14:21:14.103187Z","title":"Edge intelligence: Paving the last mile of artificial intelligence with edge computing","venue":null,"work_id":"7f2db4ad-069a-41df-8c84-a94465d52f2c","year":2019},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:e97695b20cadc7ff4fa9ec343d14769cccd29619e1532e0d524cae652bc52ff8","observation_id":"3e92d4cf-9677-4d2c-b5be-cab28cf642f9","resolution":{"observed_at":"2026-05-26T19:32:54.829129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"A survey on edge computing systems and tools","venue":null,"work_id":"82104c0b-213d-4e95-8a52-a6ed7d6c6ffa","year":2019},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:67127fe86f5a1f64885684422ff2d9afa22df6ed9aa9c0170f4aad7fe1cab3b5","observation_id":"73c2ef14-3e6b-481a-aad8-7e0acffdefee","resolution":{"observed_at":"2026-05-26T19:32:54.810280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Orion: Interference-aware, fine- grained gpu sharing for ml applications","venue":null,"work_id":"478400cc-e332-4570-aaa8-ff011f443716","year":2024},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:382b1749dbcbc2e763f1f96146a800468b3128d8cc2af1d368a79b082573a817","observation_id":"43d54aba-70eb-4ffa-92cb-63950e2492d0","resolution":{"observed_at":"2026-05-26T19:32:54.813975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3600006.3613166","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"InProceedings of the 29th Symposium on Operating Systems Principles (SOSP ’23)","venue":null,"work_id":"d19f8180-1287-4110-9e3e-65910a553e9d","year":2023},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:ecf7cff6fa24492aa42bfe8fc9c3960d813f838501e78f635a4b50e241fe3663","observation_id":"fb1dec72-5747-4566-a56b-817e42067604","resolution":{"observed_at":"2026-05-08T23:34:26.309032Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-06-01T20:56:20.49107+00:00","source":"crossref_status_cache"},{"observed_at":"2026-06-01T20:56:20.49107+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Serving DNNs like clockwork: Performance predictability from the bottom up","venue":null,"work_id":"0777dde3-31e2-4bf1-a06e-ee2490b4a08f","year":2020},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:e6d1886a7fd8985bf26034891f953859bf6168317cc7b3003b11af98a74a0d39","observation_id":"c928a499-c6a7-4722-8d72-8ebed99fa52d","resolution":{"observed_at":"2026-05-26T19:32:54.796444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"INFaaS: Automated model-less inference serving","venue":null,"work_id":"42cd08bd-c9c4-45e5-85ee-7926299f132e","year":2021},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:b922a3be38da120df9cec1e1bca794d93c6d28ccee87e804cb215334bd018826","observation_id":"4ed1f285-7775-4180-a1b9-65ccf97aaea7","resolution":{"observed_at":"2026-05-26T19:32:54.799384Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.07470","last_updated":"2024-02-28T21:40:00Z","snapshot_observed_at":"2026-07-06T16:06:14.569076Z","submitted_at":"2023-08-14T21:46:37Z","title":"Symphony: Optimized DNN Model Serving using Deferred Batch Scheduling","version":2},"cited_work":{"arxiv_id":"2308.07470","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.07470","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2308.07470 , year=","venue":null,"work_id":"1dab30d9-977a-4080-8884-b585f6bf8ec4","year":2024},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"cited_paper":"/paper/2308.07470","citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:95c46d5d0fe3de2facb6df66c53f4e85d400ae165d46b55fb731c925ce13f973","observation_id":"199cc640-6b16-4bf6-8c2a-b607bb02458f","resolution":{"observed_at":"2026-05-11T21:21:13.907940Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.07052","last_updated":"2019-05-09T00:49:52Z","snapshot_observed_at":"2026-08-06T03:37:53.599100Z","submitted_at":"2018-10-16T14:51:13Z","title":"Shallow-Deep Networks: Understanding and Mitigating Network Overthinking","version":3},"cited_work":{"arxiv_id":"1810.07052","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1810.07052","snapshot_observed_at":"2026-07-04T23:36:59.098898Z","title":"Shallow-deep networks: Understanding and mitigating network overthinking","venue":null,"work_id":"33bd3719-114c-4c5c-b42a-e5ec3c5b847e","year":2019},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"cited_paper":"/paper/1810.07052","citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:c18c0976d9a31ca2cde09c36c56186bcb51cfbbb6188e0385161511f4b0cb268","observation_id":"d08254d3-9c2d-4979-ba3b-fd4809ce2d06","resolution":{"observed_at":"2026-07-04T23:36:59.098898Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3372224.3419194","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Spinn: synergistic progressive inference of neural networks over device and cloud","venue":null,"work_id":"8d4a6651-416e-497d-946d-5ad047ba944b","year":2020},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:b462b568b738bafa9e674dc2d92a73ce5cf408f94e5dc7ccff90226a90ddbc3a","observation_id":"75cd03cc-7d62-44bf-86a0-d519b30857f5","resolution":{"observed_at":"2026-05-08T23:34:26.300960Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.14203","last_updated":"2021-09-06T03:48:22Z","snapshot_observed_at":"2026-08-03T11:29:08.697430Z","submitted_at":"2020-11-28T19:21:47Z","title":"EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference","version":5},"cited_work":{"arxiv_id":"2011.14203","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.14203","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Edgebert: Sentence-level energy optimizations for latency-aware multi-task nlp inference","venue":null,"work_id":"cdb65d97-3438-4bd8-9775-159f39137350","year":2021},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"cited_paper":"/paper/2011.14203","citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:a0818bdbf3742d3e5d009877934194b48970ed3be865e1d6af916d3eba32f236","observation_id":"3fedd376-4938-4356-8f84-5bba74b3dfa7","resolution":{"observed_at":"2026-05-11T21:21:13.850098Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1709.01686","last_updated":"2017-09-06T06:30:51Z","snapshot_observed_at":"2026-07-06T05:58:17.354374Z","submitted_at":"2017-09-06T06:30:51Z","title":"BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks","version":1},"cited_work":{"arxiv_id":"1709.01686","doi":"10.48550/arxiv.1709.01686","metadata_source":"pith","pith_arxiv_id":"1709.01686","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Branchynet: Fast inference via early exiting from deep neural networks","venue":"cs.NE","work_id":"04c6cc02-2277-4ad7-9d58-017de9a6cd16","year":2017},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"cited_paper":"/paper/1709.01686","citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:4df3c0a36e5048dc2a1db372520f8cc5f68975dd13f38f5ec7a5d0c6704f3732","observation_id":"fa027de7-6695-4165-ae90-9ae2013f45cb","resolution":{"observed_at":"2026-05-11T21:21:13.891894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Apparate: Rethinking early exits to tame latency-throughput tensions in ml serving","venue":null,"work_id":"bdd9a003-0286-4ca0-ae86-f2411a715787","year":2024},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:a4281f132ee53523a4066df2bb4ac1ef9ce24a9ff4caaa259af25b9555ce18e8","observation_id":"7f091beb-9433-434a-9423-68bb3c3da3df","resolution":{"observed_at":"2026-05-26T19:32:54.806445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.04152","last_updated":"2020-10-22T06:37:36Z","snapshot_observed_at":"2026-08-04T14:43:27.965753Z","submitted_at":"2020-06-07T13:38:32Z","title":"BERT Loses Patience: Fast and Robust Inference with Early Exit","version":3},"cited_work":{"arxiv_id":"2006.04152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.04152","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Bert loses patience: Fast and robust inference with early exit","venue":null,"work_id":"e012f322-d6da-49cf-98d0-3a90180042fd","year":2020},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"cited_paper":"/paper/2006.04152","citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:bf5fcfb17a138d1a330f2a2e639eb165eafc49be69758dbbc1d47cb577ffa93d","observation_id":"d5d319b3-9896-40a7-b386-f2411aa67fe9","resolution":{"observed_at":"2026-05-11T21:21:13.864437Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.11152","last_updated":"2023-04-03T06:41:13Z","snapshot_observed_at":"2026-07-06T14:20:54.903780Z","submitted_at":"2022-11-21T02:32:25Z","title":"You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model","version":2},"cited_work":{"arxiv_id":"2211.11152","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.11152","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"You need multiple exiting: Dynamic early exiting for accelerating unified vision language model","venue":null,"work_id":"93b1e82b-72cb-4e9b-9533-27a99d71cc21","year":2023},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"cited_paper":"/paper/2211.11152","citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:1095366ae6fd09c701a14ac19453e57cdb951cc8e7412393a8900d0d98121b20","observation_id":"576e05f3-9d88-431a-819f-4b2d424dd44c","resolution":{"observed_at":"2026-05-11T21:21:13.807692Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"NVIDIA Multi-Process Service (MPS)","venue":null,"work_id":"933821a1-a08f-4c99-831e-3fc7fad548bb","year":2024},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:ff64ef80b080af3e7070d74b65f465b54f5e7fa6ab5d5032ca7b112926c93a43","observation_id":"eb03e490-c7a8-4cc3-bd36-370cec679a52","resolution":{"observed_at":"2026-05-26T19:32:54.802867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3768622","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Real-time, work-conserving gpu scheduling for concurrent dnn inference","venue":"ACM Transactions on Computer Systems","work_id":"095d47c8-c3de-4297-90b5-2cd05d816147","year":2025},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:2cb4e24a2cb486951c7bcdec85304a5d089b023db7f272c886dfe87fc9a7762c","observation_id":"11bc9e8c-10da-4cbf-b3db-4ec16ff3b9e6","resolution":{"observed_at":"2026-05-08T23:34:26.318437Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Clipper: A low-latency online prediction serving system","venue":null,"work_id":"79e41438-d6ad-412d-9e13-0158500532b9","year":2017},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:92018857272ef8529f49298a797bbc17177eb820460409716a5a6149c115fbc4","observation_id":"cf106f71-c33d-4a6f-a5cc-a7e4bcd96ef3","resolution":{"observed_at":"2026-05-26T19:32:54.817682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.06139","last_updated":"2017-12-27T20:43:02Z","snapshot_observed_at":"2026-08-02T02:13:21.763849Z","submitted_at":"2017-12-17T16:36:26Z","title":"TensorFlow-Serving: Flexible, High-Performance ML Serving","version":2},"cited_work":{"arxiv_id":"1712.06139","doi":null,"metadata_source":"pith","pith_arxiv_id":"1712.06139","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"TensorFlow-Serving: Flexible, High-Performance ML Serving","venue":"cs.DC","work_id":"41d2f994-f6ad-4f0f-aea0-50f2aa456a1e","year":2017},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"cited_paper":"/paper/1712.06139","citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:b78478c520d892d269ed9c8fc61fa4c477655ae116c8a940be15285c2d241a68","observation_id":"08e71552-4b0a-40e7-9a42-fa3415eab5ad","resolution":{"observed_at":"2026-05-11T21:21:13.796964Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"NVIDIA Triton Inference Server","venue":null,"work_id":"b94bb8d5-a9a8-4523-9d9d-a80845da867f","year":2024},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:3001ce812e9e9a18f1726ab706568982f3b8222a333da0e057abedb9fa2ba72f","observation_id":"734f58ff-53bd-4ea5-bef6-08f38f7630be","resolution":{"observed_at":"2026-05-26T19:32:54.832215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Proteus: A high-throughput inference-serving system with accuracy scaling","venue":null,"work_id":"91dce2c2-da13-4888-b740-6b47eb75466e","year":2024},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:55464e145b853e86f9f114c7b8380dbd1905f77f0b9300bd482b6747d5936bdf","observation_id":"984210f6-157d-4d56-a2ea-892e4142ae33","resolution":{"observed_at":"2026-05-26T19:32:54.824786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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":"2026-06-05T21:23:00.469572Z","title":"Cocktail: A multidimensional optimization for model serving in cloud","venue":null,"work_id":"8c5e4c60-caab-4445-b0c8-a24e90ba15b5","year":2022},"citing_paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T05:45:51.382212Z"},"links":{"citing_paper":"/paper/2605.05527"},"observation_digest":"sha256:5bbed35cf5e73ebc4332ea9b3f171da6fba609a36521e7e627fa4208a3f6c984","observation_id":"04287f22-da69-41e4-acaf-180f7db36328","resolution":{"observed_at":"2026-05-26T19:32:54.821153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.05527","last_updated":"2026-05-07T00:06:24Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-07-06T23:18:07.750358Z","submitted_at":"2026-05-07T00:06:24Z","title":"EdgeServing: Deadline-Aware Multi-DNN Serving at the Edge"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":8,"verified_fuzzy":11},"total_outbound_references":21},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2605.05527."}