{"as_of":"2026-08-09T08:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ad08a71251949c0342bcf6e08691a7632f32eb0e7c7ee1a3c0a8d1ee3c1c53f0","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T20:37:09.199270Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-08-05T05:48:39.817774Z","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":"2026-08-05T05:48:40.902801Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"cited_work":{"arxiv_id":"2507.02233","doi":null,"metadata_source":"pith","pith_arxiv_id":"2507.02233","snapshot_observed_at":"2026-08-05T05:48:40.902801Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","venue":"cs.DC","work_id":"8b446212-7e3d-412e-828f-6166f61875f5","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":50,"source":"pdf_text","source_observed_at":"2026-08-05T05:48:39.817774Z"},"links":{"cited_paper":"/paper/2507.02233","citing_paper":"/paper/2509.04973"},"observation_digest":"sha256:51215ae64981d739f9cc4aa9407f60e410fd45c8a130489ea77e690badce46b0","observation_id":"2a782071-f1c9-4074-a66d-95f51996e2e9","resolution":{"observed_at":"2026-08-05T05:48:41.056746Z","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/2507.02233/citation-record","integrity":"/paper/2507.02233/integrity","json":"/paper/2507.02233/citation-record.json","paper":"/paper/2507.02233"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:37:13.006940Z","title":"A hybrid cloud and edge control strategy for demand responses using deep reinforcement learning and transfer learning,","venue":null,"work_id":"048d4c1e-f677-4bd1-bfab-ccae7eadaa73","year":2021},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:07.909993Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:cb7fdd205e350ff1ea1a68770d774339bcc04c490a94246eea81b0c67c2cebc2","observation_id":"642d8629-648e-42c5-a3d9-e18639f80f33","resolution":{"observed_at":"2026-08-06T20:37:13.061700Z","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":"2026-08-06T20:37:12.869102Z","title":"A Deep Learning-Based Predictive Framework for Backend Latency Using AI-Augmented Structured Modeling,","venue":null,"work_id":"978a66c9-2169-4223-8de1-4976abe6d0e5","year":2024},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:07.958943Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:b19c081b489e2e72193100c6e6c4f4ceb67bb87bb2a50c7f4fa56e039c672843","observation_id":"36f2216f-e288-4a48-995d-488891534298","resolution":{"observed_at":"2026-08-06T20:37:12.933783Z","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":"2026-08-06T20:37:12.716804Z","title":"Anomaly Detection in Microservice Environments via Conditional Multiscale GANs and Adaptive Temporal Autoencoders,","venue":null,"work_id":"9c506094-42f0-4a2f-ae93-eef2b904a19f","year":2024},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.024637Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:6fd2cf4ff1d16c75e9582be37569bdc440dbe34e5b67233f4d5fe989569caedc","observation_id":"dca6af00-7562-42fa-95bf-80a8ce5bc684","resolution":{"observed_at":"2026-08-06T20:37:12.792972Z","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":"2026-08-06T20:37:12.494617Z","title":"Multi-Scale Feature Integration and Spatial Attention for Accurate Lesion Segmentation,","venue":null,"work_id":"74c2287a-8548-4f99-bf41-c2a999dd8b58","year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.077734Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:3ccacdebee84cfa3016f387f9816e42aa8b1689b6f6285af40f3f941cb920003","observation_id":"9cd9419f-e69f-4c9e-bbd2-90ac2ba0766f","resolution":{"observed_at":"2026-08-06T20:37:12.581023Z","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":"2026-08-06T20:37:12.289224Z","title":"Context-Aligned and Evidence-Based Detection of Hallucinations in Large Language Model Outputs,","venue":null,"work_id":"0a767826-6207-488b-adfe-edd3d75b783b","year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.123012Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:4515cb52b631a90ad09ddd27dc6ffe52e57941b523eef15c10250f6064ef793c","observation_id":"328024e0-158d-4797-b615-0f55203c27e5","resolution":{"observed_at":"2026-08-06T20:37:12.360284Z","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":"2026-08-06T20:37:12.138237Z","title":"Exploiting transfer learning for emotion recognition under cloud-edge-client collaborations,","venue":null,"work_id":"2e0496f2-cce9-4312-8bae-ec5a57bc27b6","year":2020},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.183517Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:75f268e85d25e24e8467a2aa27cf724c8943bc60757d7c6b770265b64f0297ae","observation_id":"8cc7a8ce-2afb-445c-8bb1-2a6d46476375","resolution":{"observed_at":"2026-08-06T20:37:12.194855Z","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":"2026-08-06T20:37:11.885188Z","title":"Transfer learning approach to IDS on cloud IoT devices using optimized CNN,","venue":null,"work_id":"f1dd94b3-a822-4d66-9f51-5de2ec8aa249","year":2023},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.228783Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:c78d8b59cbde97aa2b7305469d14daa5c19aa28d62c538e337a23f7c276a9818","observation_id":"046ec881-2311-4d16-a641-2b40a8bccc03","resolution":{"observed_at":"2026-08-06T20:37:12.027704Z","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":"2026-08-06T20:37:11.706937Z","title":"Federated transfer learning for IIoT devices with low computing power based on blockchain and edge computing,","venue":null,"work_id":"ec098a31-990a-4690-8f5d-1fb3e7064c20","year":2021},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.298995Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:903ecbdf3959ebde2c28fb07f240dd50ecb5469ac061bb222cf5f306d6030dae","observation_id":"b47e7c1b-28ad-4649-bb1d-4dab0a052f76","resolution":{"observed_at":"2026-08-06T20:37:11.801027Z","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":"2026-08-06T20:37:11.536979Z","title":"A survey on transfer learning,","venue":null,"work_id":"96f40e58-29b3-4dc7-a1fb-b1ec6c049c52","year":2019},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.342763Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:d9811d5c6b4755af0411149b6363af7eb29026c7fd9d2d3f58d7710a8f43a703","observation_id":"6f3d9bb3-0ae1-4755-b604-c0fd425b0a2b","resolution":{"observed_at":"2026-08-06T20:37:11.601561Z","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":"2026-08-06T20:37:11.350484Z","title":"A survey on deep transfer learning to edge computing for mitigating the COVID-19 pandemic,","venue":null,"work_id":"1dcc8b83-c64d-43f3-a1c3-82c166531751","year":2020},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.392077Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:5a811c92e3f1d1040fbc0e3b09548a5c20e068fc33a7803e9f99e94046cf957c","observation_id":"fb225b15-f6e0-47fc-9a07-63caa908e1a6","resolution":{"observed_at":"2026-08-06T20:37:11.423263Z","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":"2026-08-06T20:37:11.149571Z","title":"Forecasting workload in cloud computing: towards uncertainty-aware predictions and transfer learning,","venue":null,"work_id":"4269918c-8405-448e-b427-daec2f4fcfcd","year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.453570Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:d89a03e89f905b2c126315beba78877e0149202b068995278034e016694230b1","observation_id":"15c550a0-a131-46bc-9ba3-b0061bf5df9f","resolution":{"observed_at":"2026-08-06T20:37:11.272102Z","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":"2026-08-06T20:37:10.983538Z","title":"A Meta-Learning Framework for Cross-Service Elastic Scaling in Cloud Environments,","venue":null,"work_id":"4b32f986-79a5-405e-adf1-e1ee168fdb11","year":2024},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.517116Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:3fdb5e15d96af909f4fc4d8903f7315e01216b5b5b10880c9db4db51c161c1e7","observation_id":"27058f1e-67fd-43ad-9d86-d40bc457148e","resolution":{"observed_at":"2026-08-06T20:37:11.040032Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T20:37:08.585149Z","title":"Self-Attention-Based Modeling of Multi-Source Metrics for Performance Trend Prediction in Cloud Systems,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.585149Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:c54665632900a08b5995ff597ce323a51f253eeb9e7b27be97b8b12063b5cba7","observation_id":"76a9410f-24c7-422b-9593-083efd4567d0","resolution":{"observed_at":"2026-08-06T20:37:08.585149Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20705","last_updated":"2025-05-27T04:31:12Z","snapshot_observed_at":"2026-08-08T00:51:23.158887Z","submitted_at":"2025-05-27T04:31:12Z","title":"Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.20705","snapshot_observed_at":"2026-08-06T20:37:08.638153Z","title":"Time-Series Learning for Proactive Fault Prediction in Distributed Systems with Deep Neural Structures,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.638153Z"},"links":{"cited_paper":"/paper/2505.20705","citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:259ad0c1e96d514e38cbb66c937bc3c55eb59b0792686fbbdabe81a0f9b54e2b","observation_id":"2631ef62-e452-452c-a29e-c93c78fa3ace","resolution":{"observed_at":"2026-08-06T20:37:08.638153Z","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":"2026-08-06T20:37:10.777087Z","title":"Continuous Control-Based Load Balancing for Distributed Systems Using TD3 Reinforcement Learning,","venue":null,"work_id":"a38f1e8f-07c5-4197-aa43-448f1e480967","year":2024},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.702288Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:4f5897bbd769a1f6c6135ebb786cae9d8911d045e4d43d2d2dca737efa187613","observation_id":"0f6d6255-8c4a-4ed1-890b-c91b6e501740","resolution":{"observed_at":"2026-08-06T20:37:10.893065Z","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":"2026-08-06T20:37:10.609977Z","title":"A Deep Q-Network Approach to Intelligent Cache Management in Dynamic Backend Environments,","venue":null,"work_id":"09c10090-b16a-487c-bc96-e9363c31e739","year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.760776Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:24db94c5cf6a21f418708195f7ba09d848d9e3d50538f09a308164a88c5427ac","observation_id":"72da533a-08ab-4313-b7eb-f79c983c07cd","resolution":{"observed_at":"2026-08-06T20:37:10.699057Z","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":"2026-08-06T20:37:10.401372Z","title":"Bootstrapped Structural Prompting for Analogical Reasoning in Pretrained Language Models,","venue":null,"work_id":"2fedfece-b112-4c59-ad2d-e844ad73e0e7","year":2024},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.827030Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:95d6e628695fa73c3470090a4cf85ec830da67b9f65f62242818775c0c4cbd28","observation_id":"e8540453-f7f0-4306-b2d7-e743b540e5ed","resolution":{"observed_at":"2026-08-06T20:37:10.517734Z","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":"2026-08-06T20:37:10.069781Z","title":"Unified Instruction Encoding and Gradient Coordination for Multi-Task Language Models,","venue":null,"work_id":"16367f40-1a76-4d0e-bd84-e3eeaf0e8598","year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.885464Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:31eb1919285f5a59bb4a73be5c78bdb2db09eec99e57ab32361c5f7e1a1864ad","observation_id":"4d94faad-3265-412e-8fc6-1eb149d194a2","resolution":{"observed_at":"2026-08-06T20:37:10.264963Z","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":"2026-08-06T20:37:09.845892Z","title":"A general multi-source ensemble transfer learning framework integrate of LSTM-DANN and similarity metric for building energy prediction,","venue":null,"work_id":"a80f0824-5510-43c0-8eb3-a35aa3c2dbd4","year":2021},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:08.916031Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:3eb285d2be58f95be6ae92b902535591dea4806c1bbc8c321a7d082fa20ca5ca","observation_id":"e02e03f6-5188-4a90-8054-218db709be89","resolution":{"observed_at":"2026-08-06T20:37:09.957541Z","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":"2026-08-06T20:37:09.653520Z","title":"Deep transfer learning strategy based on TimesBlock-CDAN for predicting thermal environment and air conditioner energy consumption in residential buildings,","venue":null,"work_id":"53e00945-3a71-4a3a-b1e4-12f3d04a7813","year":2025},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:09.036615Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:5f854fca3bf01c75bebe21c5aa6c5fb3f9929c4e4c1cd8a39895d9d06a548c48","observation_id":"d61edeb5-9d4b-4bde-9520-fb147d7aa4cc","resolution":{"observed_at":"2026-08-06T20:37:09.725737Z","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":"2026-08-06T20:37:09.506274Z","title":"Fixbi: Bridging domain spaces for unsupervised domain adaptation,","venue":null,"work_id":"f08f3742-ae18-40be-85c0-ce5ac681326a","year":2021},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:09.120021Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:443b6ba01d6479496fc36ee3f1e8db98a43fc3379416a74478341aaa781a6f39","observation_id":"d6c1154a-464b-4725-b5b6-e5c14da23e56","resolution":{"observed_at":"2026-08-06T20:37:09.580672Z","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":"2026-08-06T20:37:09.320426Z","title":"Toalign: Task-oriented alignment for unsupervised domain adaptation,","venue":null,"work_id":"e967bb17-792f-469b-aa49-82b70ef8cb00","year":2021},"citing_paper":{"arxiv_id":"2507.02233","last_updated":"2025-07-03T02:00:21Z","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T20:37:09.199270Z"},"links":{"citing_paper":"/paper/2507.02233"},"observation_digest":"sha256:60cfa744eb9d161957aa6a0a6fb7e911b9e6a10fb378939e11e85c2b482c15dd","observation_id":"86195509-89ad-4011-a867-0e03dde7f94a","resolution":{"observed_at":"2026-08-06T20:37:09.405149Z","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":"2507.02233","last_updated":"2025-07-03T02:00:21Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-06T20:31:54.908422Z","submitted_at":"2025-07-03T02:00:21Z","title":"Domain-Adversarial Transfer Learning for Fault Root Cause Identification in Cloud Computing Systems"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":22},"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 9 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.02233."}