{"as_of":"2026-08-14T08:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2efc519a0449ec7282a95aaca9c408a26d858f2bb8a3e069a4a42fbd5de2af14","coverage":[{"denominator":31,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":31,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T12:30:02.944725Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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":"2026-08-07T04:55:48.774300Z","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":"2026-08-07T04:55:49.394549Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"cited_work":{"arxiv_id":"2412.14272","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.14272","snapshot_observed_at":"2026-08-07T04:55:49.394549Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","venue":"cs.CV","work_id":"fcdbce2e-bede-4452-8e1d-9fea169cbe80","year":2024},"citing_paper":{"arxiv_id":"2506.09452","last_updated":"2025-06-11T06:56:12Z","snapshot_observed_at":"2026-08-09T03:31:05.003819Z","submitted_at":"2025-06-11T06:56:12Z","title":"Learning Obfuscations Of LLM Embedding Sequences: Stained Glass Transform","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:55:48.774300Z"},"links":{"cited_paper":"/paper/2412.14272","citing_paper":"/paper/2506.09452"},"observation_digest":"sha256:25db83029a3f89c8384ab1b3750c939bcf6a437b53751348d78eaf670104495d","observation_id":"326b9e3c-0091-41bb-aced-24eb05935ef4","resolution":{"observed_at":"2026-08-07T04:55:49.399708Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.14272/citation-record","integrity":"/paper/2412.14272/integrity","json":"/paper/2412.14272/citation-record.json","paper":"/paper/2412.14272"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T12:30:03.260978Z","title":"Computer vision in the metaverse,","venue":null,"work_id":"c1d9e1c2-1c94-428c-b1a5-bd826d14a2dd","year":2021},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.846972Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:d540b6f521b0e439193f3a773063637168e234901ddff469e18ff40641f8c636","observation_id":"fe440189-3abf-4e8e-9cc9-9d0f018d1eb8","resolution":{"observed_at":"2026-08-11T12:30:03.264230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.250458Z","title":"Real-time semantic segmen- tation: A brief survey and comparative study in remote sensing,","venue":null,"work_id":"d8a4653e-8fac-4b26-98ac-e4f0a4c42fae","year":2023},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.850858Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:7cab4075af83abcec4466c66a80fd13c1bc2237d712c253a3e2e71e61fd24ca4","observation_id":"e3ea835a-5791-4552-97f0-b2c07c71a4e0","resolution":{"observed_at":"2026-08-11T12:30:03.255035Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.237518Z","title":"U-Net: Convolutional net- works for biomedical image segmentation,","venue":null,"work_id":"5491e9b7-9341-4167-8967-5e85fde29b2b","year":2015},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.853947Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:221f5d67f4671b98f284868fea3550e5312064b4c5b2b488464943e0d01aaa15","observation_id":"09767b12-0f81-4da9-a198-9b7eba754738","resolution":{"observed_at":"2026-08-11T12:30:03.241419Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.02147","last_updated":"2016-06-07T14:09:27Z","snapshot_observed_at":"2026-08-13T08:04:45.700902Z","submitted_at":"2016-06-07T14:09:27Z","title":"ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.02147","snapshot_observed_at":"2026-08-11T12:30:02.857059Z","title":"ENet: A deep neural network architecture for real-time semantic segmentation,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.857059Z"},"links":{"cited_paper":"/paper/1606.02147","citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:21eeeec4cd210e2709bf0464056d12ff26974cf8655da1ccbadcfce200711de5","observation_id":"1ca7fb94-b150-461a-9ecb-c804e2435f8a","resolution":{"observed_at":"2026-08-11T12:30:02.857059Z","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":"2026-08-11T12:30:03.225135Z","title":"DeepLab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected CRFs,","venue":null,"work_id":"0d0bf986-aa11-4633-910e-b4eee87f69fc","year":2018},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.860666Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:7a4fd7f5a27557806f72b07ada8dfc95ab050a99be93a223ebe20b515076ceae","observation_id":"12a327df-4171-48a1-aa20-a38d36b350ef","resolution":{"observed_at":"2026-08-11T12:30:03.229983Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.212998Z","title":"Adaptive resource optimized edge federated learning in real-time image sensing classifications,","venue":null,"work_id":"a7b16bef-9d5a-4b99-98b1-2a1b1c34ed67","year":2021},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.863746Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:5eab502597437f8c1850ac4f3fcc5bd0065ffb1e5c38a204e1dda256b68e02bb","observation_id":"d593bba7-5fc7-4604-b642-3f2ad3277acc","resolution":{"observed_at":"2026-08-11T12:30:03.217785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.200718Z","title":"Split federated learning for 6G enabled-networks: Requirements, challenges and future directions,","venue":null,"work_id":"d19c4ec8-eb1d-41cc-b3d1-5ab5d4b87b3f","year":2024},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.867063Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:adc7bf545c19e1dade83210d34f832075c15b466712501dfa6ee695645bdbe97","observation_id":"a74d0e3f-aa09-415a-b1e4-a24789e50c7a","resolution":{"observed_at":"2026-08-11T12:30:03.204802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.189107Z","title":"Towards network- accelerated ML-based distributed computer vision systems,","venue":null,"work_id":"d6673ccf-8104-4d3a-a799-9453d77dd6a9","year":2021},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.869715Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:9c4505ddd58a8a9ae198bc9c6663870ce4c207197a3214ca58284a0c72b7efc2","observation_id":"89e47a17-8ac0-4515-b1b2-fb19cb010735","resolution":{"observed_at":"2026-08-11T12:30:03.193593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:02.872783Z","title":"Multiple access in the era of distributed computing and edge intelligence,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.872783Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:dd6de6e71890f98aea88d61453ce92ab2831243704b57a76101deeb0bb8ab6a5","observation_id":"354f7383-4d93-46b6-bdf3-55f5be0691e9","resolution":{"observed_at":"2026-08-11T12:30:02.872783Z","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":"2026-08-11T12:30:03.173951Z","title":"Fully convolutional networks for semantic segmentation,","venue":null,"work_id":"a4754749-e2d2-4359-a8f6-9bbc5e54b758","year":2017},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.875357Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:68bc4aa484d809d908fa585b64e8e2a0da83d378bb5414124f655f60c4bafa07","observation_id":"977f6806-b598-4b04-ade4-80efec30f0ce","resolution":{"observed_at":"2026-08-11T12:30:03.177576Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.165015Z","title":"SegNet: A deep convolutional encoder-decoder architecture for image segmentation,","venue":null,"work_id":"115374a6-acdc-44c4-aa21-2ab354380fee","year":2017},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.878816Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:44decafd0e61f31208665dfb85118c999fafa3d3f79cdd385636b1c8af8de9ef","observation_id":"864a8bff-f367-44cd-9259-4719c480c85c","resolution":{"observed_at":"2026-08-11T12:30:03.168343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.155964Z","title":"Encoder- decoder with atrous separable convolution for semantic image segmenta- tion,","venue":null,"work_id":"f976aff9-c2ac-4f00-9d19-fcf0d735c0f6","year":2018},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.882641Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:90fb9f5c48d3616e09cce25734f3484e082db766c625ddde127a54b4b13c9c5b","observation_id":"eb61fb62-fe12-4e58-b5fd-55baf87862c9","resolution":{"observed_at":"2026-08-11T12:30:03.159251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.145878Z","title":"RefineNet: Multi-path re- finement networks for high-resolution semantic segmentation,","venue":null,"work_id":"054e8941-933f-4b52-a416-3f2547520555","year":2017},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.885932Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:d93c41641027bfc35248e3026fb9131c67a1bd07a0790ce3a71adefdfef84356","observation_id":"d4a547bb-95e0-4b10-b0cb-64f9201595af","resolution":{"observed_at":"2026-08-11T12:30:03.150215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.134232Z","title":"ERFNet: Efficient residual factorized ConvNet for real-time semantic segmenta- tion,","venue":null,"work_id":"d23940ee-e992-40f8-b31f-6f8f32da8e50","year":2018},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.889769Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:f09922fd8e610e3a6bc0f88b6176f18a6e877737fe3e6bd6306e96703fb68174","observation_id":"b4c40a58-6b80-4735-92a0-863da5c09631","resolution":{"observed_at":"2026-08-11T12:30:03.139354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.11066","last_updated":"2021-11-22T09:26:08Z","snapshot_observed_at":"2026-08-13T17:29:52.605234Z","submitted_at":"2021-11-22T09:26:08Z","title":"FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2111.11066","snapshot_observed_at":"2026-08-11T12:30:02.893939Z","title":"FedCV: A federated learning framework for diverse computer vision tasks,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.893939Z"},"links":{"cited_paper":"/paper/2111.11066","citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:2118e6b27e647ea950a95a39a2db4a9c9eff1eb48589e95ad828b5a5ff205feb","observation_id":"4b7085c8-4e72-4cdb-92c5-e1e1712b2c9c","resolution":{"observed_at":"2026-08-11T12:30:02.893939Z","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":"2026-08-11T12:30:03.124300Z","title":"Federated learning in computer vision,","venue":null,"work_id":"f78a040f-b106-46b1-b5ea-bee99f3e99e9","year":2023},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.897605Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:13a513c1091865c96846d3fad8f5e4522771c886d8dde4230fc9f74a4f36f419","observation_id":"c0c34ef1-24be-4785-8521-e889bb11e46d","resolution":{"observed_at":"2026-08-11T12:30:03.127861Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.114989Z","title":"Fedvision: An online visual object detection platform powered by federated learning,","venue":null,"work_id":"08ca6dd2-ad1d-41f0-b1df-f27c2cef85df","year":2020},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.900715Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:d27f1c931e448275b8906d9fe09faa86585fe47ec50809d17903c82e5c33fc12","observation_id":"fbfbf703-da4a-4634-8a75-8274862bd341","resolution":{"observed_at":"2026-08-11T12:30:03.119057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.105103Z","title":"Federated learning for vision-and-language grounding problems,","venue":null,"work_id":"c784eb80-5678-4fef-a9b6-0eaee78c5471","year":2020},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.903545Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:2a4fdde2c5a990736540546861eaed4255c296cf1d840b44f5fd3aaa72e7cc16","observation_id":"30179c6d-4bdc-4f36-9ca0-8e823c379dd9","resolution":{"observed_at":"2026-08-11T12:30:03.109085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.094553Z","title":"SplitNN,","venue":null,"work_id":"78f923a7-ead5-47ed-8819-a4103918c7db","year":2020},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.906518Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:81fe1fd973e411004061c567146535503ff60889bee184050282f62ccfec29e1","observation_id":"864ae04d-a014-41f4-88e4-899f1e69abf0","resolution":{"observed_at":"2026-08-11T12:30:03.098016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.082923Z","title":"Split Neural Networks on PySyft,","venue":null,"work_id":"ae2a7eda-20eb-4538-beed-227af11ed5c2","year":null},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.909443Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:42336ab61eacd94bb2de5414126a0e922ced8977b9c35d55fa0fd2ae3369b120","observation_id":"1c57d659-b4a3-4ca6-910e-1f7251f4ce36","resolution":{"observed_at":"2026-08-11T12:30:03.087129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.062219Z","title":"Acuratio,","venue":null,"work_id":"3f324877-58ff-4d21-9033-9d56200fc3bb","year":2020},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.915638Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:4b02413b80d63193859cf6648f9b703bcb99394733f387608f5104c8d30458f6","observation_id":"f9e6a9f4-be1a-4eab-8224-b6b7b523e9ff","resolution":{"observed_at":"2026-08-11T12:30:03.066159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.051876Z","title":"Communication- Efficient Multimodal Split Learning for mmWave Received Power Prediction,","venue":null,"work_id":"75389581-d75d-42e5-938b-ba0192c97089","year":2020},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.918580Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:9537a02fd2e7f2c6ddccb5dc74f81183c66442afa71cfc06872a1c60ea27fb0e","observation_id":"d01c6c19-7b93-4478-9bd7-661d4d05735e","resolution":{"observed_at":"2026-08-11T12:30:03.055645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1912.12115","last_updated":"2019-12-27T14:39:58Z","snapshot_observed_at":"2026-08-12T08:22:49.581898Z","submitted_at":"2019-12-27T14:39:58Z","title":"Split Learning for collaborative deep learning in healthcare","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1912.12115","snapshot_observed_at":"2026-08-11T12:30:02.921283Z","title":"Split Learning for collaborative deep learning in healthcare,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.921283Z"},"links":{"cited_paper":"/paper/1912.12115","citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:b336b453716d83f9ef53d2e554148e2f48d0a7838f724132c4973ba7c15fe126","observation_id":"5b54dbf5-8037-496a-9e3e-bb256acf8553","resolution":{"observed_at":"2026-08-11T12:30:02.921283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.09145","last_updated":"2019-09-18T21:43:33Z","snapshot_observed_at":"2026-08-13T17:43:41.409854Z","submitted_at":"2019-09-18T21:43:33Z","title":"Detailed comparison of communication efficiency of split learning and federated learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.09145","snapshot_observed_at":"2026-08-11T12:30:02.924277Z","title":"Detailed comparison of communication efficiency of split learning and federated learning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.924277Z"},"links":{"cited_paper":"/paper/1909.09145","citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:c581e3beac90cabd8870975452608add2d06e5e59e5967a43309f084c8c70714","observation_id":"daa3e386-bc3d-44de-b520-5a2ee4c8f5df","resolution":{"observed_at":"2026-08-11T12:30:02.924277Z","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":"2026-08-11T12:30:03.040859Z","title":"Splitfed: When federated learning meets split learning,","venue":null,"work_id":"42ad8b45-5f0f-4622-886d-6e395505fd4d","year":2022},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.928453Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:9906333eb0b21fa202d5cfe20dca65d27bdc7dc83fe8fa1b83e639b4c1321b70","observation_id":"01018e65-4bf2-4108-80db-3d8b3a44fe46","resolution":{"observed_at":"2026-08-11T12:30:03.043909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.031281Z","title":"HiveMind: Towards cellular native machine learning model splitting,","venue":null,"work_id":"640a333b-7ee2-4b32-b10b-41f4e85c772d","year":2021},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.931790Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:dadd4249c874431e8479597c25390747526d87af8d0d1c4e781b09700b6ad90d","observation_id":"a821e64c-68a2-4ded-a58e-2d75900c8c05","resolution":{"observed_at":"2026-08-11T12:30:03.034597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.022397Z","title":"A bargaining game for personalized, energy efficient split learning over wireless networks,","venue":null,"work_id":"e1eace1b-b769-46eb-86e3-bda64d52012d","year":2023},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.934806Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:2254ef83837dce1ea9a0b686ddefd21ee6dc02c861094442a901ecd5b1e66ddb","observation_id":"9d3453dd-22f6-4511-9802-66b62d9f196e","resolution":{"observed_at":"2026-08-11T12:30:03.025703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.011883Z","title":"Communication- efficient vertically split inference via over-the-air computation,","venue":null,"work_id":"1ce3225a-4da3-46d0-a573-f76111f29f67","year":2023},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.938395Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:29329f4ebc5fa951c55bc51261bca3d686523be6fca333f25125f10a3f1454c4","observation_id":"d892fcaf-c3ea-4464-bb8a-247288f28e67","resolution":{"observed_at":"2026-08-11T12:30:03.015802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:02.941605Z","title":"Split learning over wireless networks: Parallel design and resource management,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.941605Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:11c2a61341b6522cf78aec6dd88acfe256d3e508cf918d579b56cd2d4800c83b","observation_id":"1add7783-ab46-420f-9da8-1ba3131fa7d6","resolution":{"observed_at":"2026-08-11T12:30:02.941605Z","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":"2026-08-11T12:30:02.996440Z","title":"Linear programming in O([n3/ln n] L) operations,","venue":null,"work_id":"a408778d-b1b6-4400-a678-1004812ff0ac","year":1999},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.944725Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:6a83de3f461d8185e5473fc2f39b937522abea4cacac4e2fbd108d4779139ca6","observation_id":"31347075-6402-4514-8e99-33f546ac6efd","resolution":{"observed_at":"2026-08-11T12:30:03.000767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+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":"2026-08-11T12:30:03.072910Z","title":"Available: https://medium.com/analytics-vidhya/ split-neural-networks-on-pysyft-ed2abf6385c0","venue":null,"work_id":"b2b686a3-48f9-49b0-a686-2c4a07a258ad","year":null},"citing_paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-11T12:30:02.912666Z"},"links":{"citing_paper":"/paper/2412.14272"},"observation_digest":"sha256:010bd6c871e488a75721aa2286d47669fdab2477b4a542a2551a27e413dada98","observation_id":"b25b9720-e5e1-4f71-83b6-7d257d24c7b0","resolution":{"observed_at":"2026-08-11T12:30:03.076511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.14272","last_updated":"2024-12-18T19:07:25Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T11:01:15.845806Z","submitted_at":"2024-12-18T19:07:25Z","title":"Split Learning in Computer Vision for Semantic Segmentation Delay Minimization"},"reference_resolution":{"displayed":31,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":25},"total_outbound_references":31},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 1 inbound Pith citation observation for arXiv:2412.14272."}