{"as_of":"2026-08-10T00:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:181a3164764a9289f5de89d02df9981c0d8c8612eabb1694114e1616a9cbdbee","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:07:34.399180Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:17:24.914874Z","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":"2026-08-05T05:48:41.698199Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16248","snapshot_observed_at":"2026-08-06T21:17:24.914874Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00601","last_updated":"2025-07-02T06:39:55Z","snapshot_observed_at":"2026-08-06T21:08:48.398745Z","submitted_at":"2025-07-01T09:34:49Z","title":"Transferable Modeling Strategies for Low-Resource LLM Tasks: A Prompt and Alignment-Based Approach","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:17:24.914874Z"},"links":{"cited_paper":"/paper/2505.16248","citing_paper":"/paper/2507.00601"},"observation_digest":"sha256:49acb2f6b3c367c508b7ad34be83b2777263cfb9b5f58740b5374808090b6fd9","observation_id":"71067943-0ada-48ed-a2a1-44485f76354e","resolution":{"observed_at":"2026-08-06T21:17:24.914874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.16248","snapshot_observed_at":"2026-08-06T16:40:07.671168Z","title":"Graph neural network-based collaborative perception for adaptive scheduling in distributed systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.12879","last_updated":"2025-07-17T07:58:16Z","snapshot_observed_at":"2026-08-06T16:33:52.515693Z","submitted_at":"2025-07-17T07:58:16Z","title":"Autonomous Resource Management in Microservice Systems via Reinforcement Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T16:40:07.671168Z"},"links":{"cited_paper":"/paper/2505.16248","citing_paper":"/paper/2507.12879"},"observation_digest":"sha256:7f56913e09f5f307249ff9a3adecd5ff64d71abe98b0764e4970c4783831b724","observation_id":"325ac634-6305-404a-b9bd-15a05e8f3412","resolution":{"observed_at":"2026-08-06T16:40:07.671168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"cited_work":{"arxiv_id":"2505.16248","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.16248","snapshot_observed_at":"2026-08-05T05:48:41.698199Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","venue":"cs.LG","work_id":"040f763b-9d14-42e5-a111-43517f52f685","year":2025},"citing_paper":{"arxiv_id":"2509.04973","last_updated":"2025-09-05T09:55:28Z","snapshot_observed_at":"2026-08-08T08:36:04.350716Z","submitted_at":"2025-09-05T09:55:28Z","title":"Topology-Aware Graph Reinforcement Learning for Dynamic Routing in Cloud Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T05:48:37.849948Z"},"links":{"cited_paper":"/paper/2505.16248","citing_paper":"/paper/2509.04973"},"observation_digest":"sha256:a9d64b4ae71e41589ad5023e2824140ac01d8432a593d342cb263c1520628b84","observation_id":"69027cdb-54f6-4d9f-afe4-d35edd8cc330","resolution":{"observed_at":"2026-08-05T05:48:41.797211Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.16248/citation-record","integrity":"/paper/2505.16248/integrity","json":"/paper/2505.16248/citation-record.json","paper":"/paper/2505.16248"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:07:38.268180Z","title":"The evolution of distributed systems for graph neural networks and their origin in graph processing and deep learning: A survey,","venue":null,"work_id":"fc8ec807-f270-4870-bbbf-a43139205609","year":2023},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:32.588631Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:7f1e98c369ee126cbe497c41ba93a7c5f08043c639acec0b1332a88731e3e1f1","observation_id":"62bbcf5b-adf6-4866-819a-71e3cabcb570","resolution":{"observed_at":"2026-08-07T15:07:38.414007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:37.971918Z","title":"Distributed graph neural network training: A survey,","venue":null,"work_id":"21c4e0a3-43ce-4fac-ab57-e47e134cb5bd","year":2024},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:32.722849Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:7ca8bfff3d2e6d613f4b4c52ce2eab17c5fb6b30b527e4457a046e62c2f201cb","observation_id":"b2ea4db2-ce0a-446c-b516-3204bcc89284","resolution":{"observed_at":"2026-08-07T15:07:38.122932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:37.670026Z","title":"A comprehensive survey on distributed training of graph neural networks,","venue":null,"work_id":"749e70bd-a0e9-4d78-8195-c68b9413b82a","year":2023},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:32.823092Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:2c016a70c5e993d51108f996f45e5b699f4fd261698599723ba8de8142232f37","observation_id":"2d7a909e-20b4-4ced-bcd5-fda5b5d58dfd","resolution":{"observed_at":"2026-08-07T15:07:37.788378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.19583","last_updated":"2025-06-01T22:38:52Z","snapshot_observed_at":"2026-08-07T15:58:40.814740Z","submitted_at":"2025-04-28T08:42:35Z","title":"Graph-Based Spectral Decomposition for Parameter Coordination in Language Model Fine-Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.19583","snapshot_observed_at":"2026-08-07T15:07:32.947972Z","title":"Graph -Based Spectral Decomposition for Parameter Coordination in Language Model Fine - Tuning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:32.947972Z"},"links":{"cited_paper":"/paper/2504.19583","citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:93e123aa2b5627a402483cde93410b526192fa994c4a3e5150c1e8709f05603d","observation_id":"ecc97f5e-7747-42bf-b1ca-7b62b85b1c88","resolution":{"observed_at":"2026-08-07T15:07:32.947972Z","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":"2026-08-07T15:07:37.424126Z","title":"Federated graph neural networks: Overview, techniques, and challenges,","venue":null,"work_id":"cc998917-90c2-4574-b8eb-7aad2a0a2064","year":2024},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.074212Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:b10fd0eaeb6266afd51a45327547a46cd4c6091a5a4813826ba0076f1de89097","observation_id":"20c9146d-9839-46a6-b020-aa162331b8c4","resolution":{"observed_at":"2026-08-07T15:07:37.536273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.15577","last_updated":"2025-04-22T04:24:16Z","snapshot_observed_at":"2026-08-07T16:00:22.707694Z","submitted_at":"2025-04-22T04:24:16Z","title":"State-Aware IoT Scheduling Using Deep Q-Networks and Edge-Based Coordination","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15577","snapshot_observed_at":"2026-08-07T15:07:33.206651Z","title":"State -Aware IoT Scheduling Using Deep Q -Networks and Edge -Based Coordination,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.206651Z"},"links":{"cited_paper":"/paper/2504.15577","citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:7d4ecdbcccfdc501a6a08c0df4ee36b76452c00ea7482bd97bb85ab0bb3a0c4a","observation_id":"82ac5100-0d0e-4b64-8ca4-d133eab126f2","resolution":{"observed_at":"2026-08-07T15:07:33.206651Z","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":"2026-08-07T15:07:37.171823Z","title":"Distributed Network Traffic Scheduling via Trust-Constrained Policy Learning Mechanisms,","venue":null,"work_id":"3917bd19-8132-4953-99a5-8f1fea802eee","year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.322206Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:f3183fe2fae6454926afb8d09e780c99513216ac39c6a19f4de33ec272fd53ba","observation_id":"15a312fb-8b67-4d9d-b78e-701c7ed8f90a","resolution":{"observed_at":"2026-08-07T15:07:37.290306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.15223","last_updated":"2025-04-21T16:53:02Z","snapshot_observed_at":"2026-08-07T16:00:31.794768Z","submitted_at":"2025-04-21T16:53:02Z","title":"A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15223","snapshot_observed_at":"2026-08-07T15:07:33.432493Z","title":"A Deep Learning Framework for Sequence Mining with Bidirectional LSTM and Multi-Scale Attention,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.432493Z"},"links":{"cited_paper":"/paper/2504.15223","citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:10a9dfb4a11e00943ebdad850802a083046fc0b5b4de69a08bc8758d087db00f","observation_id":"38c6ce1d-6273-4331-886b-26fe0705dded","resolution":{"observed_at":"2026-08-07T15:07:33.432493Z","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":"2026-08-07T15:07:36.913493Z","title":"Multivariate Time Series Forecasting through Automated Feature Extraction and Transformer -Based Modeling,","venue":null,"work_id":"3c63d27d-32fe-4e88-b9e3-273ba9796353","year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.545940Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:d719096c06353db9389e66f7dba5f882c23c0541b7d04ed6e7580793612fe58e","observation_id":"6e4353f6-24e0-46ae-b959-b6fdbbeaa5e2","resolution":{"observed_at":"2026-08-07T15:07:37.027623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:36.625699Z","title":"Optimizing Distributed Computing Resources with Federated Learning: Task Scheduling and Communication Efficiency,","venue":null,"work_id":"85361c5b-3b16-46a4-9f88-330ad5a0b194","year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.566706Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:32108714c6f0c80d91c7fcc1d90b065f9c77d0db8e4b974f2d3277323034e263","observation_id":"703356a9-5028-4ecc-85aa-15292aef3844","resolution":{"observed_at":"2026-08-07T15:07:36.775467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23659","last_updated":"2025-03-31T01:48:21Z","snapshot_observed_at":"2026-08-07T16:26:49.467631Z","submitted_at":"2025-03-31T01:48:21Z","title":"Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23659","snapshot_observed_at":"2026-08-07T15:07:33.672906Z","title":"Dynamic Operating System Scheduling Using Double DQN: A Reinforcement Learning Approach to Task Optimization,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.672906Z"},"links":{"cited_paper":"/paper/2503.23659","citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:1c817e2aff12d57ef322765f0def1f9cc0a61ce547bdebcea0579490e5db3d8c","observation_id":"3ecb268f-112b-4e25-aad7-2b16cee69574","resolution":{"observed_at":"2026-08-07T15:07:33.672906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15593","last_updated":"2024-12-20T06:32:05Z","snapshot_observed_at":"2026-07-06T20:10:41.978020Z","submitted_at":"2024-12-20T06:32:05Z","title":"Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining","version":1},"cited_work":{"arxiv_id":"2412.15593","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.15593","snapshot_observed_at":"2026-08-07T15:07:34.845834Z","title":"Machine Learning Techniques for Pattern Recognition in High-Dimensional Data Mining","venue":"cs.LG","work_id":"860f80e4-13bf-446b-b03f-ac67f99eb085","year":2024},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.745038Z"},"links":{"cited_paper":"/paper/2412.15593","citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:168c91b33f28aebbb017100917c0d889aef807b8fafa0ed159949476f725f706","observation_id":"17e43c9b-8677-4ffa-9b04-f043e7bc78dc","resolution":{"observed_at":"2026-08-07T15:07:34.930622Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.05758","last_updated":"2025-04-08T07:38:30Z","snapshot_observed_at":"2026-08-07T16:07:38.893973Z","submitted_at":"2025-04-08T07:38:30Z","title":"Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference","version":1},"cited_work":{"arxiv_id":"2504.05758","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.05758","snapshot_observed_at":"2026-08-07T15:07:34.561707Z","title":"Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference","venue":"cs.LG","work_id":"c54ac0e7-d982-41bc-b242-52ce7cca6199","year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.818684Z"},"links":{"cited_paper":"/paper/2504.05758","citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:aa38ea9f5ccd5c18385c52b0870a72ebf0c8e416e484f41156d4e99b7fd02623","observation_id":"309ba084-2cde-4a8d-a265-205028b44c6c","resolution":{"observed_at":"2026-08-07T15:07:34.701766Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:36.353656Z","title":"Topology-Aware Decision Making in Distributed Scheduling via Multi -Agent Reinforcement Learning,","venue":null,"work_id":"0aa11092-fa99-44cb-8193-c369c240d5f8","year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.900125Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:5d7e01bfebaf1c71cc2c24c1205dcca649528d7d76ff9ff04284e9aeed512f2f","observation_id":"7abf60c1-2aea-4d6c-86df-d48dc74a5419","resolution":{"observed_at":"2026-08-07T15:07:36.465026Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:36.011922Z","title":"A Reinforcement Learning Approach to Traffic Scheduling in Complex Data Center Topologies,","venue":null,"work_id":"d8a29154-866d-4704-b8a4-c9a5df294806","year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:33.972966Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:46e45e7e1b90d1c8a35549efc9457a7b5bf3aaf5fb7668682b762f7cd311387e","observation_id":"58cff0e1-4427-45da-b5fa-430eb5aeb546","resolution":{"observed_at":"2026-08-07T15:07:36.187608Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:35.765232Z","title":"DQN -based intelligent controller for multiple edge domains,","venue":null,"work_id":"71ae551f-c57c-4003-9f78-b0febc78162a","year":2023},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:34.054853Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:2228460ffffd694f7a0662235a99686b1e01d4cef3198bfb4be2906a138d9ec6","observation_id":"4b6fbae7-f411-4ae2-8eab-a50a68cf7bc0","resolution":{"observed_at":"2026-08-07T15:07:35.869744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:35.480703Z","title":"Graph multi -agent reinforcement learning for inverter - based active voltage control,","venue":null,"work_id":"9e34de73-2ac6-4daa-b2e6-fd7370989eef","year":2023},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:34.164685Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:2a91f46329a214e7b758389c7de557238d3d8068b1fa803244f8611d93f4c4a0","observation_id":"4b0825e2-b2d1-4858-90e0-7109571b5fac","resolution":{"observed_at":"2026-08-07T15:07:35.630906Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:35.209528Z","title":"BGSD: A SBERT and GAT -based service discovery framework for heterogeneous distributed IoT,","venue":null,"work_id":"33602b31-a251-4343-90ca-6e5eed7a3d2f","year":2023},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:34.277625Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:8955c97c59b792c3a30229660647f3da0db471058dd7e20d2937cc6f94e452e5","observation_id":"8fa35185-6418-4d03-a1b1-b4ac8d75a4be","resolution":{"observed_at":"2026-08-07T15:07:35.329650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-07T15:07:35.039437Z","title":"DRL -GCNet: A Deep Reinforcement learning and Graph Convolutional Network for Harmonic Drive Fault Diagnosis,","venue":null,"work_id":"2e607a04-661a-47db-ae88-c2912832d098","year":2025},"citing_paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:07:34.399180Z"},"links":{"citing_paper":"/paper/2505.16248"},"observation_digest":"sha256:c8ddd60e5f4bb4365c54d07d05f80dfa916d46d7f21069bb92503a71d75f52b3","observation_id":"4d0be8f6-729a-4753-924f-ac6aa92ac686","resolution":{"observed_at":"2026-08-07T15:07:35.108314Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.16248","last_updated":"2025-05-22T05:34:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T15:02:37.294629Z","submitted_at":"2025-05-22T05:34:02Z","title":"Graph Neural Network-Based Collaborative Perception for Adaptive Scheduling in Distributed Systems"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":2,"verified_fuzzy":13},"total_outbound_references":19},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2505.16248."}