{"as_of":"2026-08-18T10:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0090463fae7ab4fa84b1dee56900f475906ac1c3a964f6c85f5b11943faa58b4","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T10:11:32.362317Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T20:57:30.294005Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T20:57:31.146785Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"cited_work":{"arxiv_id":"2411.19487","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.19487","snapshot_observed_at":"2026-08-15T20:57:31.146785Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","venue":"cs.DC","work_id":"a51acfa6-84c6-4de4-9240-2286422bdfc7","year":2024},"citing_paper":{"arxiv_id":"2505.11417","last_updated":"2025-05-16T16:29:21Z","snapshot_observed_at":"2026-08-18T00:09:18.524844Z","submitted_at":"2025-05-16T16:29:21Z","title":"EdgeWisePersona: A Dataset for On-Device User Profiling from Natural Language Interactions","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T20:57:30.294005Z"},"links":{"cited_paper":"/paper/2411.19487","citing_paper":"/paper/2505.11417"},"observation_digest":"sha256:cc6a00965bdc00ce666801967dee0bba45c60ee0b16fbb26f71294d22eeda79d","observation_id":"eb2291e7-d582-4545-a17a-fb1d4a3eb654","resolution":{"observed_at":"2026-08-15T20:57:31.151717Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.19487/citation-record","integrity":"/paper/2411.19487/integrity","json":"/paper/2411.19487/citation-record.json","paper":"/paper/2411.19487"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.552747Z","title":null,"venue":null,"work_id":"8c5153c0-ca86-43ba-8a7a-5b47396e6757","year":2022},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.298070Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:76f74adca54de47531c41b94b214f0b4d48040cf094118ac1551fa652e8a1248","observation_id":"6752d2e6-21ad-4fe5-b1e5-14fdae28d206","resolution":{"observed_at":"2026-08-12T10:11:32.556995Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.541510Z","title":null,"venue":null,"work_id":"53ef8c24-1ed0-4790-a321-3025230bd16e","year":2024},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.303757Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:efd2a1c296fb9488a00ba68d78a577e658ff16321ed3104cbba4a294e9db6362","observation_id":"37a50995-cfd1-4ae2-8fe1-44f882eb943e","resolution":{"observed_at":"2026-08-12T10:11:32.545340Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.529510Z","title":"“Internet of Things (IoT): A vision, architectural elements, and future directions.“ Future generation computer systems 29, no","venue":null,"work_id":"ea0157d3-6e01-4140-b9b7-6ff408253b59","year":2013},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.308205Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:ceb52dc6c8874aecdad8d7e26cdaee439bce91fa68b480e3482a65ea1210bfe4","observation_id":"6c09821c-412f-418c-a750-bd5f1586af89","resolution":{"observed_at":"2026-08-12T10:11:32.534314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.517931Z","title":"“MedGlasses: A wearable smart- glasses-based drug pill recognition system using deep learning for visually impaired chronic patients.“ IEEE Access 8 (2020): 17013- 17024","venue":null,"work_id":"b870e120-02d7-4b7d-a3df-52ef2234c91b","year":2020},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.313295Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:f705bfe988ae598fef4cd8e604792ae5bb01d32a8b5c98b7e737e4e3c5b9bc10","observation_id":"355ec3fd-56e2-452e-9315-8470b7cb73e1","resolution":{"observed_at":"2026-08-12T10:11:32.521814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.506671Z","title":"“Resource management in fog/edge computing: a survey on architectures, infrastructure, and al- gorithms.“ ACM Computing Surveys (CSUR) 52, no","venue":null,"work_id":"7526e922-ab6c-440e-a25d-1d739f4053e5","year":2019},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.318739Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:efde3d0c2af71b9a95524086744a04fd3668775c1c802311d1cc1eff5c6518af","observation_id":"e7ab18f2-0ca8-4153-beb9-44f4538e19ea","resolution":{"observed_at":"2026-08-12T10:11:32.510802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.494392Z","title":"“RES: Real-time video stream analytics using edge enhanced clouds.“ IEEE Transactions on Cloud Computing 10, no","venue":null,"work_id":"efe61b93-9e3c-4ec2-9ad9-f05760c88375","year":2020},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.323823Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:4a05747452baa8712fb6aaa3fafd104c22d4da971052595451cbe56c9bc33cb3","observation_id":"1b6c14cc-1e9b-4a3f-b62b-e1c9cefd6e1c","resolution":{"observed_at":"2026-08-12T10:11:32.498894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.483779Z","title":null,"venue":null,"work_id":"5eba8cf3-da6e-432c-a357-eb4855440470","year":2019},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.328658Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:2d62b782ba5d7b708e82168a2b6527135b8e838b98a5ef7f5fdb2e65d8658531","observation_id":"d415e7c2-d267-4089-8fee-475b19a7c1cc","resolution":{"observed_at":"2026-08-12T10:11:32.487290Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.472191Z","title":"“Baymax: Qos awareness and increased utilization for non-preemptive accelerators in warehouse scale computers.“ ACM SIGPLAN Notices 51, no","venue":null,"work_id":"77eccaec-dd3f-4e5c-aba7-ac04ef3be593","year":2016},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.332265Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:15f5d9f34c034bc42f2a1c910f2af4b3ced18803f9a7afa0b48f1c2534213208","observation_id":"e6d4bba6-c087-4eff-acc1-7745dd0f7f21","resolution":{"observed_at":"2026-08-12T10:11:32.476140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.461355Z","title":null,"venue":null,"work_id":"4b8710a5-51bc-4d1d-9b17-3ac843234a29","year":2020},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.336773Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:6f9b0532c30a88de85869206ade7625cea45b32943e3ed98dc0ae20efc951452","observation_id":"8bba2667-3ccc-41c3-b26f-c5cab8e31029","resolution":{"observed_at":"2026-08-12T10:11:32.465201Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.449717Z","title":"“Edge analytics in the internet of things.“ IEEE Pervasive Computing 14, no","venue":null,"work_id":"6cd21e49-82c3-4b58-9dd9-2b5947d4f974","year":2015},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.340796Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:428634f3f7f0e8fdc3d891f95953044a87481c7ebf43f6acd018cf0f729bc0c4","observation_id":"1eb3549f-79af-4ccf-8dd6-1eb3eb6ae439","resolution":{"observed_at":"2026-08-12T10:11:32.453811Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.436946Z","title":"“Edge computing: current trends, research challenges and future direc- tions.“ Computing 103, no","venue":null,"work_id":"b3d78ec9-ef1d-4e60-b292-9a429db21422","year":2021},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.345527Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:9e03b0d295c0b69413fabaa13f87ca8b7175b529318ea4d9f7814a5d67ea59d4","observation_id":"8dfce802-1eed-437e-a8d4-6a56bfd94b9c","resolution":{"observed_at":"2026-08-12T10:11:32.440896Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.425138Z","title":"“Real-time mask identification for COVID-19: An edge-computing-based deep learning framework.“ IEEE Internet of Things Journal 8, no","venue":null,"work_id":"ff6bec33-155a-4d19-9be9-ea7b67318652","year":2021},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.349314Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:95abdc5e4cb177c3afe8fb91ac0c8b2fec96a922c230d424e18a1dad635dd911","observation_id":"c304bca7-7126-4cf1-8c4a-9d74790e62ad","resolution":{"observed_at":"2026-08-12T10:11:32.429874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.413477Z","title":null,"venue":null,"work_id":"fc2dbe88-65de-42c6-900f-bf8ac6c91673","year":2022},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.353172Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:6a0622cfd52c95f483adf94269b22856e5f12cb69078c4eb97bd1d541fa5c8ae","observation_id":"e0e7169d-b3be-40ad-a052-2b94bdc1a0b2","resolution":{"observed_at":"2026-08-12T10:11:32.417349Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.401052Z","title":"Peck, and G","venue":null,"work_id":"fb1957d7-77fa-42dd-b868-8df4de169290","year":2021},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.358101Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:df7d0c9c2effbe204bed08a62a6d46ffed8fc113a503cdbd20acb22731a41ca1","observation_id":"6e6098d8-e305-41a4-bc1a-cd45b5a9e7f1","resolution":{"observed_at":"2026-08-12T10:11:32.404837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T10:11:32.388394Z","title":null,"venue":null,"work_id":"30cb8bc8-b767-4cfc-bd63-45cbd277073e","year":2023},"citing_paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T10:11:32.362317Z"},"links":{"citing_paper":"/paper/2411.19487"},"observation_digest":"sha256:074b5bace1016fc958a83475fe9ec5b3200bc4759813d20d8bf43858533774fb","observation_id":"e0cb3010-2081-4968-8c10-47d55882bd3e","resolution":{"observed_at":"2026-08-12T10:11:32.393003Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.19487","last_updated":"2024-11-29T06:04:08Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-15T15:58:46.405761Z","submitted_at":"2024-11-29T06:04:08Z","title":"HE2C: A Holistic Approach for Allocating Latency-Sensitive AI Tasks across Edge-Cloud"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":9},"total_outbound_references":15},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2411.19487."}