{"as_of":"2026-08-16T06:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5fd44597066addfa2e98be3cb73db9069d906b1061c6b6e173f07a5443bc5a83","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:12:32.824087Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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":"2026-08-15T21:57:59.519205Z","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":"2026-08-15T21:57:59.678910Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"cited_work":{"arxiv_id":"2412.12371","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.12371","snapshot_observed_at":"2026-08-15T21:57:59.678910Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","venue":"cs.DC","work_id":"080f2708-d9d7-4497-b84a-e62b1eb4df34","year":2024},"citing_paper":{"arxiv_id":"2505.18164","last_updated":"2025-05-13T12:07:37Z","snapshot_observed_at":"2026-08-15T21:51:46.026069Z","submitted_at":"2025-05-13T12:07:37Z","title":"Model-Distributed Inference for Large Language Models at the Edge","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T21:57:59.519205Z"},"links":{"cited_paper":"/paper/2412.12371","citing_paper":"/paper/2505.18164"},"observation_digest":"sha256:4a4880cc9a110359c569499274e249bb2b3c6214b2cd5ba7de5e04e41a8eb775","observation_id":"d0c57d17-cda0-446e-ab07-3b4cbedb9bc2","resolution":{"observed_at":"2026-08-15T21:57:59.684478Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.12371/citation-record","integrity":"/paper/2412.12371/integrity","json":"/paper/2412.12371/citation-record.json","paper":"/paper/2412.12371"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:12:33.400298Z","title":"Adaptive and resilient model- distributed inference in edge computing systems,","venue":null,"work_id":"795a0bd7-f1d7-49a9-93c7-6e2c9f5fd31c","year":2023},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.573132Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:7037ddf9f7f9c3f743ed6f250316315374276c0b3687a580a4818958d2e3d146","observation_id":"fcd31f44-1dd4-45c9-aec7-77ba4d3c9d6e","resolution":{"observed_at":"2026-08-11T14:12:33.405804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:32.578006Z","title":"Model-distributed inference in multi-source edge networks,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.578006Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:34f46338b9f54314c2d99256ea7f68c63f49a446bc705959c614bf9db56e2f1c","observation_id":"6c92beca-3a76-4b33-93fe-559d7fdf392e","resolution":{"observed_at":"2026-08-11T14:12:32.578006Z","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":"2026-08-11T14:12:33.374864Z","title":"Nvidia jetson xavier","venue":null,"work_id":"ab24950c-6944-45dd-b632-64d0bed4bf65","year":null},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.582632Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:c0c2c6b8c21bea4a7e9572a556706f9eb760b0099de7e7547e955430058afbb7","observation_id":"b6a2f69e-e422-4435-9ea4-398cf0cfa816","resolution":{"observed_at":"2026-08-11T14:12:33.380027Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.359454Z","title":"Nvidia jetson nano","venue":null,"work_id":"17eb19ba-3d51-4d3a-ba94-05c4ba4c1ce7","year":null},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.587896Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:8a81668c78de36dd85f8adb06a42a6467b1b359ae1dc200e2f46061a90779a4f","observation_id":"9e0c102d-4c64-4453-84d9-b0b33a31d2dd","resolution":{"observed_at":"2026-08-11T14:12:33.364459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.345200Z","title":"Colosseum testbed,","venue":null,"work_id":"50b7f22c-a955-418e-bc04-c4db508c5fe9","year":2024},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.592682Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:bdaface3aff6495d3c82d8e570f4e8bcddec92d41b771ece306ef22e004e3d1f","observation_id":"4ad2ed15-4073-4dae-bd95-bde1c10b9717","resolution":{"observed_at":"2026-08-11T14:12:33.349528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.330288Z","title":"Gpipe: Efficient training of giant neural networks using pipeline parallelism,","venue":null,"work_id":"9bf97a7a-0b83-4da2-8a30-b570edf65657","year":2019},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.597283Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:461c2b05b32ec3246b5aedfa9258735d88c28a2318e466378699b93adea82780","observation_id":"0b94c9d7-aa1e-4c92-951c-070a616a39bf","resolution":{"observed_at":"2026-08-11T14:12:33.334787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.03377","last_updated":"2018-06-08T23:18:08Z","snapshot_observed_at":"2026-08-14T19:05:50.682260Z","submitted_at":"2018-06-08T23:18:08Z","title":"PipeDream: Fast and Efficient Pipeline Parallel DNN Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.03377","snapshot_observed_at":"2026-08-11T14:12:32.655021Z","title":"Pipedream: Fast and efficient pipeline parallel dnn training,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.655021Z"},"links":{"cited_paper":"/paper/1806.03377","citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:3816b83843a08f05c3b5ac1792391a048db3e58067b77b2bb970ed966ef11b69","observation_id":"c73ea43b-b973-43c0-b3fc-a45b598b3a27","resolution":{"observed_at":"2026-08-11T14:12:32.655021Z","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":"2026-08-11T14:12:33.315135Z","title":"Improving ml applications in shared computing environ- ments,","venue":null,"work_id":"1a4635d6-7723-4331-9f0b-7d9831513baa","year":2019},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.686853Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:e91cca8274d9b0f192e9eaed65fffb7f8593448f59799096b31ef0b099de8f81","observation_id":"242902aa-aca2-4ad1-9382-d618f48e5f2d","resolution":{"observed_at":"2026-08-11T14:12:33.319867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02839","last_updated":"2019-10-28T10:13:24Z","snapshot_observed_at":"2026-08-14T18:31:14.691590Z","submitted_at":"2018-09-08T17:21:58Z","title":"Efficient and Robust Parallel DNN Training through Model Parallelism on Multi-GPU Platform","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02839","snapshot_observed_at":"2026-08-11T14:12:32.692315Z","title":"Efficient and robust parallel dnn training through model parallelism on multi-gpu platform,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.692315Z"},"links":{"cited_paper":"/paper/1809.02839","citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:591760888432ed1250a42d78f8dd2f2044ebaf05d4cc7c6d97fc754b10818458","observation_id":"a9f70b44-adca-4f76-9177-b3c6defd25a8","resolution":{"observed_at":"2026-08-11T14:12:32.692315Z","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":"2026-08-11T14:12:33.299791Z","title":"Respipe: Resilient model- distributed dnn training at edge networks,","venue":null,"work_id":"91e8fc08-f538-4e48-aacd-81feca322ce6","year":2021},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.697488Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:071053e2fcc181001916a2195e6f89bdf660aaabfca50c25a64c567d09eca9d6","observation_id":"99712c8e-8643-4612-9cf3-ddff67b60954","resolution":{"observed_at":"2026-08-11T14:12:33.304633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.283729Z","title":"Model-distributed dnn training for memory-constrained edge computing devices,","venue":null,"work_id":"4b12b5d4-5ab2-42ff-82b4-d51af7cfa341","year":2021},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.702033Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:fecd7264cebe8d143ba8a78db1956919c849c7a426259f2fdc104b32796f05e3","observation_id":"993bbc26-7e45-45d6-8e58-7c2cfd339364","resolution":{"observed_at":"2026-08-11T14:12:33.289513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.270911Z","title":"Distributed deep neural networks over the cloud, the edge and end devices,","venue":null,"work_id":"db4183b8-56c4-4148-87cc-251ea6dba719","year":2017},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.706658Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:8337ff3e7d9af67f4783549828c7154ba8f0e921ec577b3f2b2763a8b2641398","observation_id":"1e0b93ef-0692-4e66-a8e5-18b05f9e30e6","resolution":{"observed_at":"2026-08-11T14:12:33.274901Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:32.712573Z","title":"Neurosurgeon: Collaborative intelligence between the cloud and mobile edge,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.712573Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:2bdce14c1ef01319bf9eda991a77137a9d42bf3a20d977bd6954c02fc743ee49","observation_id":"46ce7a10-235b-4704-a7cd-ddbc5af6bc60","resolution":{"observed_at":"2026-08-11T14:12:32.712573Z","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":"2026-08-11T14:12:33.247621Z","title":"Jointdnn: an efficient training and inference engine for intelligent mobile cloud computing services,","venue":null,"work_id":"c79fa4c0-ac4e-4a57-8dcc-0ef4e08d7622","year":2019},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.717872Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:6df2a27ada3c8e8bdb8ac0bc64dc2ab5821d81f7b9b54fb86e153036fed6e40b","observation_id":"07e2dde8-7bbe-4734-a773-ce052d7b7280","resolution":{"observed_at":"2026-08-11T14:12:33.252337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14895","last_updated":"2021-10-28T05:20:51Z","snapshot_observed_at":"2026-08-10T19:00:51.264835Z","submitted_at":"2021-10-28T05:20:51Z","title":"Pipeline Parallelism for Inference on Heterogeneous Edge Computing","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.14895","snapshot_observed_at":"2026-08-11T14:12:32.721810Z","title":"Pipeline parallelism for inference on heterogeneous edge computing,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.721810Z"},"links":{"cited_paper":"/paper/2110.14895","citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:7f331ae731c31563e5adf3109c6718d7d45d8e2a6cb6094ef80bc84a3d793530","observation_id":"091d0469-7e03-4f0e-a015-ff44fd31b3d4","resolution":{"observed_at":"2026-08-11T14:12:32.721810Z","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":"2026-08-11T14:12:33.232608Z","title":"Adaptive neural networks for efficient inference,","venue":null,"work_id":"b268d666-40c7-4f09-8000-8b0f3b87fd6d","year":2017},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.726166Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:a974e5f1fb673a84622961a56d56bbadfa89d17d8ea2a297b867b8aa918f411b","observation_id":"e2d054d9-0803-4fc5-b67c-7ebbedbec82e","resolution":{"observed_at":"2026-08-11T14:12:33.237340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.216749Z","title":"Branchynet: Fast inference via early exiting from deep neural networks,","venue":null,"work_id":"fc127a19-dc50-44f4-8b0c-aefd9cddffa1","year":2016},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.730052Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:5001749dea663ef4aa1d48b364a2ddedc6d41a338c2cd19273894ec68c930fd5","observation_id":"6f8e8e31-516e-4f03-bd04-d0d5de711a05","resolution":{"observed_at":"2026-08-11T14:12:33.222186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.201742Z","title":"Shallow-deep networks: Under- standing and mitigating network overthinking,","venue":null,"work_id":"ec2d1d89-c87a-499d-9a6e-24a593a9062e","year":2019},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.733923Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:0d15fa434c88dd70e222ebcbd80ebd6a4a1522ca8d531b12fb4a8ae5db2b3e4e","observation_id":"d66964da-3dfc-4d2e-afa5-2e7d30ee4450","resolution":{"observed_at":"2026-08-11T14:12:33.205960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.187382Z","title":"Early-exit meets model- distributed inference at edge networks,","venue":null,"work_id":"dff60dc1-da6f-4254-83b1-159aa4f1797c","year":2024},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.737883Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:fd864f024d5214140a0f5fdc33e0d7362d5ad55b85b9af79cc57a17f8b349297","observation_id":"97ca0ca0-a373-4198-a811-f39ba8ae78c5","resolution":{"observed_at":"2026-08-11T14:12:33.192079Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.170846Z","title":"Dynamic neural networks: A survey,","venue":null,"work_id":"84492e55-7cbb-4704-b29e-7537ba9f3610","year":2021},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.741711Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:3936e7b311de872af6b87b5844bacdc5ee6c919233f96200ce02912e1e551f4a","observation_id":"18896594-f848-4eda-9d70-c80abdda9981","resolution":{"observed_at":"2026-08-11T14:12:33.176671Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.04275","last_updated":"2020-05-08T20:12:45Z","snapshot_observed_at":"2026-07-06T09:18:53.374093Z","submitted_at":"2020-05-08T20:12:45Z","title":"Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey","version":1},"cited_work":{"arxiv_id":"2005.04275","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.04275","snapshot_observed_at":"2026-08-11T14:12:32.906405Z","title":"Pruning Algorithms to Accelerate Convolutional Neural Networks for Edge Applications: A Survey","venue":"cs.LG","work_id":"a1d74a00-7c25-4212-997b-ec0cd9f24d94","year":2020},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.746310Z"},"links":{"cited_paper":"/paper/2005.04275","citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:fc5a27c46ec11813f420aa4b6dd41f68d2addba32d361fe8ee6e2e6012bee84b","observation_id":"ead8d5ae-c9a4-4a33-a7e0-0a6f1be149cf","resolution":{"observed_at":"2026-08-11T14:12:32.913125Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.155468Z","title":"Pruning early exit networks,","venue":null,"work_id":"f18fb652-a927-4af7-a7cf-e2412c46a28e","year":2022},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.751711Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:79dbc413727c76cf38005f7da44ff5892d9684285e9d534ed54dd2fdafefd920","observation_id":"ca248f25-ea0e-4f8e-9068-c2f8880e5dac","resolution":{"observed_at":"2026-08-11T14:12:33.160522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.141017Z","title":"Compress- ing neural networks with the hashing trick,","venue":null,"work_id":"58c57134-51a0-4ec5-9c2e-8f48e5d418c8","year":2015},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.756400Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:bd8dd8c39b0e866ae828b5e59996e277649cce92d26fa59968dd090464c73fe7","observation_id":"6bd31569-d1a6-4852-9c66-b50c99c57472","resolution":{"observed_at":"2026-08-11T14:12:33.145265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6115","last_updated":"2014-12-18T21:09:01Z","snapshot_observed_at":"2026-08-14T23:06:53.533484Z","submitted_at":"2014-12-18T21:09:01Z","title":"Compressing Deep Convolutional Networks using Vector Quantization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6115","snapshot_observed_at":"2026-08-11T14:12:32.761198Z","title":"Compressing deep convolutional networks using vector quantization,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.761198Z"},"links":{"cited_paper":"/paper/1412.6115","citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:12f7570ec5ba8e9c3c88a93148cb606ab5e57cbc8441f8b39514a4bc4f157eea","observation_id":"6990c138-ee1c-4fab-883b-92b625f0915b","resolution":{"observed_at":"2026-08-11T14:12:32.761198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1510.00149","last_updated":"2016-02-15T06:25:40Z","snapshot_observed_at":"2026-08-04T16:59:47.843960Z","submitted_at":"2015-10-01T09:03:44Z","title":"Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1510.00149","snapshot_observed_at":"2026-08-11T14:12:32.766613Z","title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.766613Z"},"links":{"cited_paper":"/paper/1510.00149","citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:1ca325fcc08061b6231bbbd0a26a97faf5c8a239ab438ed24f31c04fd7f831c8","observation_id":"d12c70a8-b2a5-4b91-896f-7150b02188ca","resolution":{"observed_at":"2026-08-11T14:12:32.766613Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T14:12:32.771688Z","title":"Deep learning with limited numerical precision,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.771688Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:fe5cccf0775eeca7040f1d5020d55911b08d4b03e14f420f2835440a152c281a","observation_id":"102fba60-8a9f-4846-bec2-aea7ff21c09a","resolution":{"observed_at":"2026-08-11T14:12:32.771688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1412.7024","last_updated":"2015-09-23T01:00:44Z","snapshot_observed_at":"2026-08-14T23:06:28.503239Z","submitted_at":"2014-12-22T15:22:45Z","title":"Training deep neural networks with low precision multiplications","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.7024","snapshot_observed_at":"2026-08-11T14:12:32.775531Z","title":"Training deep neu- ral networks with low precision multiplications,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.775531Z"},"links":{"cited_paper":"/paper/1412.7024","citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:8d428dea0aa59c9316a181302a14b7bb9adeceee8941b944edc8dd7f821cc875","observation_id":"20c9b2d1-5245-42d3-b048-97f52f555666","resolution":{"observed_at":"2026-08-11T14:12:32.775531Z","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":"2026-08-11T14:12:33.116638Z","title":"Gradient sparsification for communication-efficient distributed optimization,","venue":null,"work_id":"685b4b79-ad8b-44d0-863d-88242cb07c54","year":2018},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.779598Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:7ffeb198050e49a1b95dff9e171a112acfd8574ea1b6c347bbbca7b76d239e2f","observation_id":"fee76f3f-71ff-400a-937d-90f4743bd726","resolution":{"observed_at":"2026-08-11T14:12:33.121102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.101207Z","title":"The convergence of sparsified gradient methods,","venue":null,"work_id":"819b7f1e-227a-4ec7-81e2-876604ff44ce","year":2018},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.784429Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:afb73778a7f7f8448697bf5b7eb4afa2a00d1897f997a23a94c83e9ad9b65e7e","observation_id":"87332cb6-cb55-4818-a604-8571a5fff6a7","resolution":{"observed_at":"2026-08-11T14:12:33.106273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.085623Z","title":"Joint device-edge infer- ence over wireless links with pruning,","venue":null,"work_id":"1f0c3ed5-34a1-48aa-a42f-72bb1c09e421","year":2020},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.788715Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:46fdce773deeb7e6eb28493b6a0bc7e64dcaf583d457f161c2961d6c178b1ae6","observation_id":"b1fcf6a0-3124-445d-b483-f12be0ad5686","resolution":{"observed_at":"2026-08-11T14:12:33.090399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.070145Z","title":"Improving device-edge cooperative inference of deep learning via 2-step pruning,","venue":null,"work_id":"ce50320e-5bcf-4251-a096-b1c294d1e4d9","year":2019},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.792815Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:4a55928fd60430037801c6f4f783089e14bf3b2756f7bb5742a0a2cb9cf05db3","observation_id":"93111f9d-5fab-40fa-914a-80a06f4f77e9","resolution":{"observed_at":"2026-08-11T14:12:33.074337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.055523Z","title":"Performance evaluation and enhancement of the csma/ca mac protocol for 802.11 wireless lans,","venue":null,"work_id":"2c331106-e246-437f-947b-23ef3a1bb9a2","year":1996},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.796617Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:d54042427ee333242fdf2164dd793b491874b2f9c9028391df51b7e6459818fe","observation_id":"25a5f58d-9e51-4308-9e9a-8bdb42a938ba","resolution":{"observed_at":"2026-08-11T14:12:33.060401Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.041292Z","title":"Cifar dataset","venue":null,"work_id":"2aae7878-003c-4282-9e05-4a6559d294d5","year":null},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.800430Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:d8d968865821dcdc15db24eb331e0bb2e396c2a4b61fe9706cafd4ea307295fb","observation_id":"4df204d3-0cc9-433b-80c0-fa0e4d994bec","resolution":{"observed_at":"2026-08-11T14:12:33.045700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.024366Z","title":"Resnet-50","venue":null,"work_id":"f29ca128-51fa-4bd1-95ff-69c1ace4d7be","year":null},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.804225Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:91b12bf1b6d58f5df52cee0868c7752d09b9624ad3e8180eca26c6fb798b41bf","observation_id":"4a157e40-640b-468c-b7af-ee18ad6a7278","resolution":{"observed_at":"2026-08-11T14:12:33.029947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:33.008630Z","title":"Resnet-56","venue":null,"work_id":"0744d08d-8864-4a27-ad62-d7abaf2385f2","year":null},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.810334Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:ff12bd2faa329866aeb84d13d89439aaf3e06c95c8f20548381af54d2a1b3a19","observation_id":"3808b5fd-6d00-4685-adf2-7d5bb6c1a91c","resolution":{"observed_at":"2026-08-11T14:12:33.013489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:32.814961Z","title":"Language models are unsupervised multitask learners,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.814961Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:91fd8aa4a98395b098f93d1e4a0a896db634cb813e669bae8f667d8bdd852a95","observation_id":"ddc122e5-37bc-429e-8e24-4340d0512609","resolution":{"observed_at":"2026-08-11T14:12:32.814961Z","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":"2026-08-11T14:12:32.985193Z","title":"Colos- seum: Large-scale wireless experimentation through hardware-in-the- loop network emulation,","venue":null,"work_id":"8c31923f-8d08-442c-b5c5-31790c89fdff","year":2021},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.819513Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:ebbd506828cffdde1a834b060823043562d15485d780519733278b1b42360195","observation_id":"215c5407-255c-4600-9532-54ef949e697a","resolution":{"observed_at":"2026-08-11T14:12:32.989903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-11T14:12:32.970468Z","title":"OpenAI GPT2,","venue":null,"work_id":"93dcd5ab-9f8e-4063-8de1-51acd9efc654","year":2024},"citing_paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T14:12:32.824087Z"},"links":{"citing_paper":"/paper/2412.12371"},"observation_digest":"sha256:c0a95366c49df986b6491a7bd56fcafa7eea90ffdccaf54a18d58e4a31dc5d15","observation_id":"ac026276-1d24-4cb7-b9f6-e3387df6ee2e","resolution":{"observed_at":"2026-08-11T14:12:32.975084Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.12371","last_updated":"2024-12-16T22:01:55Z","latest_version":1,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-14T17:43:38.337339Z","submitted_at":"2024-12-16T22:01:55Z","title":"Priority-Aware Model-Distributed Inference at Edge Networks"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":27},"total_outbound_references":38},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2412.12371."}