{"as_of":"2026-08-16T15:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6c22a2ec6120e60161daaf35c3151b2a7cfaddd65338648a2ec21df80a4507b1","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:25:01.197677Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.09124/citation-record","integrity":"/paper/1908.09124/integrity","json":"/paper/1908.09124/citation-record.json","paper":"/paper/1908.09124"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1804.07573","last_updated":"2018-06-15T02:50:58Z","snapshot_observed_at":"2026-08-14T19:23:53.592381Z","submitted_at":"2018-04-20T12:18:57Z","title":"MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.07573","snapshot_observed_at":"2026-08-14T11:25:00.947323Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.947323Z"},"links":{"cited_paper":"/paper/1804.07573","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:44a6d2be25fe3a7e13341b78e61e8381175ef721d7d51aafd9a67c4ea7497935","observation_id":"6ad5d2b6-5b09-49ca-943e-20bb4ee8ba4c","resolution":{"observed_at":"2026-08-14T11:25:00.947323Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.03672","last_updated":"2019-12-01T12:48:35Z","snapshot_observed_at":"2026-08-16T10:59:54.225955Z","submitted_at":"2019-05-09T14:56:59Z","title":"Seesaw-Net: Convolution Neural Network With Uneven Group Convolution","version":5},"cited_work":{"arxiv_id":"1905.03672","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.03672","snapshot_observed_at":"2026-08-14T11:25:01.430237Z","title":"Seesaw-Net: Convolution Neural Network With Uneven Group Convolution","venue":"cs.CV","work_id":"28dd149c-8751-42af-8bd0-e5da48cd3154","year":2019},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.951922Z"},"links":{"cited_paper":"/paper/1905.03672","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:4d4e3cd8a37106ec11be4b636fd5eb832e4af9a0affd03891a26f4b442cdd80a","observation_id":"f7155139-7b9a-4134-978e-e92dc91dffff","resolution":{"observed_at":"2026-08-14T11:25:01.434817Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1710.05941","last_updated":"2017-10-27T17:45:21Z","snapshot_observed_at":"2026-08-08T18:23:31.977872Z","submitted_at":"2017-10-16T18:05:45Z","title":"Searching for Activation Functions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.05941","snapshot_observed_at":"2026-08-14T11:25:00.956124Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.956124Z"},"links":{"cited_paper":"/paper/1710.05941","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:f5a8dd69d170fe25db60e909050b63228d001faa61339bda1db8088f447e5129","observation_id":"647f6256-9922-4bfe-9220-ae5ca2a284b9","resolution":{"observed_at":"2026-08-14T11:25:00.956124Z","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":"2026-08-14T11:25:02.090542Z","title":null,"venue":null,"work_id":"14ed19af-db2f-4ad4-a164-b7beee84ee61","year":2019},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.960637Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:9d0b8a12e31e89caf8bbf743dc91bacf635e3f4f2219e7e6c4607c86d1535e0a","observation_id":"372f6c06-6676-4884-88a2-070324e1296e","resolution":{"observed_at":"2026-08-14T11:25:02.094171Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.11080","last_updated":"2019-04-17T04:00:16Z","snapshot_observed_at":"2026-08-14T17:52:35.116757Z","submitted_at":"2018-11-27T16:34:01Z","title":"MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices","version":2},"cited_work":{"arxiv_id":"1811.11080","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.11080","snapshot_observed_at":"2026-08-14T11:25:01.399119Z","title":"MobiFace: A Lightweight Deep Learning Face Recognition on Mobile Devices","venue":"cs.CV","work_id":"83ce7e50-ee97-4fa6-b39a-6605ac95adfd","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.964905Z"},"links":{"cited_paper":"/paper/1811.11080","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:74de479124f74ca7669985f3f0df89f56b8bb0621065984a95eda4162a490829","observation_id":"60e8b9d2-3e99-4265-963f-29262288eb09","resolution":{"observed_at":"2026-08-14T11:25:01.403218Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.02244","last_updated":"2019-11-20T17:26:40Z","snapshot_observed_at":"2026-08-14T16:36:30.006489Z","submitted_at":"2019-05-06T19:38:31Z","title":"Searching for MobileNetV3","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.02244","snapshot_observed_at":"2026-08-14T11:25:00.969061Z","title":"Searching for mobilenetv3","venue":null,"work_id":null,"year":1905},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.969061Z"},"links":{"cited_paper":"/paper/1905.02244","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:f7fc2fc6ddcd96501e8badf9f3cb2b07a5ea19eddde6cf21748d5d54dbc79f7a","observation_id":"acd7a821-b93e-49e2-ba59-22eae6049d65","resolution":{"observed_at":"2026-08-14T11:25:00.969061Z","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":"2026-08-14T11:25:02.079091Z","title":null,"venue":null,"work_id":"6034fe00-8819-4342-b5a0-4360754c3b47","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.973409Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:5f7ffa26236c0fad9d816f00f3b3aefa1544cddba86b8e9c08840ba8c5697370","observation_id":"5da43162-e541-4966-92ac-47c745fe2bc3","resolution":{"observed_at":"2026-08-14T11:25:02.083421Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1404.5997","last_updated":"2014-04-26T23:10:51Z","snapshot_observed_at":"2026-08-14T23:36:31.652827Z","submitted_at":"2014-04-23T22:37:56Z","title":"One weird trick for parallelizing convolutional neural networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1404.5997","snapshot_observed_at":"2026-08-14T11:25:00.977049Z","title":"Krizhevsky, et al","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.977049Z"},"links":{"cited_paper":"/paper/1404.5997","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:840bae54f2020a71f90db1b4e0166ae6aba5da1fb178cfa8033d09d774ad1bbf","observation_id":"16a8852b-934b-4b03-bbc8-92a589d516e4","resolution":{"observed_at":"2026-08-14T11:25:00.977049Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1706.02677","last_updated":"2018-04-30T21:53:41Z","snapshot_observed_at":"2026-08-09T05:23:26.365677Z","submitted_at":"2017-06-08T16:51:53Z","title":"Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.02677","snapshot_observed_at":"2026-08-14T11:25:00.980950Z","title":"Goyal, P","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.980950Z"},"links":{"cited_paper":"/paper/1706.02677","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:068ce6bccb794df07a257d4f9ea216d26d9903e6854596e66d0b31cba1b9eb7a","observation_id":"dc01aa12-fbf3-4a0c-935a-ff68aa76da7a","resolution":{"observed_at":"2026-08-14T11:25:00.980950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-08-14T22:57:08.956233Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-14T11:25:00.984929Z","title":"Hinton, O","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.984929Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:627fa0bd540d40411b10ef43d62425a591c0259101b7279cf2977ce3282633f4","observation_id":"75fe5c74-f97a-4e11-be41-c3a2c7bc034d","resolution":{"observed_at":"2026-08-14T11:25:00.984929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.02830","last_updated":"2016-03-17T14:54:25Z","snapshot_observed_at":"2026-08-15T07:00:41.403404Z","submitted_at":"2016-02-09T01:01:59Z","title":"Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.02830","snapshot_observed_at":"2026-08-14T11:25:00.988736Z","title":"Courbariaux and Y","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.988736Z"},"links":{"cited_paper":"/paper/1602.02830","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:f179746dfc8e45fffb9f727aa2a92cc01c49058d4362a5d6b2b13f5460cbc9b7","observation_id":"e433c8eb-b8f3-4938-a861-1a2f9fdb9158","resolution":{"observed_at":"2026-08-14T11:25:00.988736Z","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":"2026-08-14T11:25:02.067023Z","title":"Courbariaux, Y","venue":null,"work_id":"31942381-7a0c-4bab-9b60-5a2398f43b7c","year":2015},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.992817Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:3188ee205b69c22b32a61440717129d05ac3c55fff4ae3897a67cd4229bc4c93","observation_id":"4d95c90c-43c1-45cf-a4a2-d96c8978ac10","resolution":{"observed_at":"2026-08-14T11:25:02.071065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:02.054198Z","title":null,"venue":null,"work_id":"791ec2f0-6707-4e43-8ec0-f38e9fe91637","year":2009},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:00.996675Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:8039efd5a07eb3a0a04b2a546a3a4a266c3068fac56d37f96213a49ec765298c","observation_id":"2dfd3558-d550-4b6e-94e7-66ea336bd8a6","resolution":{"observed_at":"2026-08-14T11:25:02.058495Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:02.042098Z","title":null,"venue":null,"work_id":"c64c9995-f5ba-46dd-9d96-9e92ba6255ea","year":2015},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.000226Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:648cb0c627083d3c9d956b253806f9a920a5cfcd0b664aec912354f012f8d92f","observation_id":"122b6f4e-8d6d-4a9d-85f0-35bac9a132bd","resolution":{"observed_at":"2026-08-14T11:25:02.045242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:02.031077Z","title":null,"venue":null,"work_id":"abbef449-9a33-4996-9889-d404a2de56da","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.003777Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:379ca96a117a4b1467502f6057244f1c2f46753b0d7638dd967c7115fbe1d9a1","observation_id":"dc3c770f-fb72-4148-b939-9159d3836db5","resolution":{"observed_at":"2026-08-14T11:25:02.034809Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:02.019945Z","title":null,"venue":null,"work_id":"e3d0290d-6d1a-45d1-92aa-f931ae5aff80","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.007845Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:312bae2b2bbe11a8b998e169b6dd5f03350f77f4e8e1c32101daf9deb7a13014","observation_id":"39cf6af8-4066-4141-9aef-5530cf71c878","resolution":{"observed_at":"2026-08-14T11:25:02.023294Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:02.006203Z","title":null,"venue":null,"work_id":"a9a9b4e3-9497-4b0d-a268-06bec6bd9d17","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.011483Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:c8d70d98b636ce5ef76c065a01b2f98c856d99bdcf35ff0584d5fa86d1abb312","observation_id":"fc3d3167-6485-4832-a922-0a3f776b5552","resolution":{"observed_at":"2026-08-14T11:25:02.011235Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.993708Z","title":"Girshick, J","venue":null,"work_id":"1e3a8578-6ed1-4d75-a469-2c86446f2959","year":2014},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.014885Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:9aee491fbfa6d80547ef0273685c3f5965b2b39c376fc8523f6480ecf08b854f","observation_id":"f8751ad8-48c5-4569-a1e9-45aca98d180e","resolution":{"observed_at":"2026-08-14T11:25:01.997876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.980741Z","title":null,"venue":null,"work_id":"a2c55c00-f2b1-4bba-81a1-9ddb1aee6688","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.018387Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:d0e64b85967c2077234b907590c57f5ed8438d532ff4d403fb205e3164c54670","observation_id":"42becab6-6b80-4ee9-ae1a-4178ca655659","resolution":{"observed_at":"2026-08-14T11:25:01.985364Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.967733Z","title":"Sengupta, J.-C","venue":null,"work_id":"d3a91dab-82b4-4270-ba56-1f4976e9b1c7","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.023074Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:f296d341d6107d1273bde7a347026d5cf2e57cb50608e75961c912d6988bdd63","observation_id":"f8608277-a481-4f8c-b5f9-08e02231236e","resolution":{"observed_at":"2026-08-14T11:25:01.972031Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.954670Z","title":"Moschoglou, A","venue":null,"work_id":"6297f2c6-d1b8-4a1f-ad5b-656a717b75e1","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.026665Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:e4c9c7cbd5e6414fdf25c48ecc1e0e0a629a68cc2652f808b05626c2b2c67c4d","observation_id":"42540ba9-1d84-43c6-bcdd-d8fb9c3f30c3","resolution":{"observed_at":"2026-08-14T11:25:01.959240Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.939708Z","title":"Zheng and W","venue":null,"work_id":"96903d96-2a71-42aa-9932-0aa2cf27d11a","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.030165Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:7bcd2b9af1cd47b3c666843419f7e3d339e6b567a3daecefcf05c113e553f4f6","observation_id":"6a9a1e3b-71d1-42b4-9a12-8284a4f61cb6","resolution":{"observed_at":"2026-08-14T11:25:01.944271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1708.08197","last_updated":"2017-08-28T06:07:27Z","snapshot_observed_at":"2026-08-14T20:38:39.875067Z","submitted_at":"2017-08-28T06:07:27Z","title":"Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.08197","snapshot_observed_at":"2026-08-14T11:25:01.033254Z","title":"Zheng, W","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.033254Z"},"links":{"cited_paper":"/paper/1708.08197","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:74a36bd5336c9076e83e3b12003a2d5685fbf3032aae11d97c3b47659f601fde","observation_id":"4602c2ed-a3b9-49b4-9fae-1c65e22e7773","resolution":{"observed_at":"2026-08-14T11:25:01.033254Z","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":"2026-08-14T11:25:01.922894Z","title":null,"venue":null,"work_id":"9248cf7a-e702-43ef-a398-f57fa5047ee2","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.037442Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:d971c79475870c4cc0f434708faec5cc3ce6a61ef825f60d9d6abfa6b13a300d","observation_id":"9aec34b9-af18-48fd-b535-d9b984d0e90f","resolution":{"observed_at":"2026-08-14T11:25:01.927980Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-14T11:25:01.041231Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.041231Z"},"links":{"cited_paper":"/paper/1510.00149","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:3b5ed76b07f6b646ba64b219d0181c50a73eb578df286540871556c1ed0589cd","observation_id":"5c9d538d-be86-4089-b3fc-30ef237349c6","resolution":{"observed_at":"2026-08-14T11:25:01.041231Z","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":"2026-08-14T11:25:01.907939Z","title":null,"venue":null,"work_id":"9c9424c2-f985-4d0b-bdd8-00fe67ef8b4b","year":2015},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.045020Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:3cfec5461e74aa8f1257e856c0ab6888db388a9151df168a1c783efd2c32d70e","observation_id":"e3d2244e-95c0-4884-8d26-299963874d14","resolution":{"observed_at":"2026-08-14T11:25:01.912800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.890273Z","title":null,"venue":null,"work_id":"4e0d2f57-f015-4b26-9ee3-117a212a842d","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.049000Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:176a8e963c9fd6a37868f80b26d3bebccc7963472e583c1f5604756b03424e86","observation_id":"a7fef4ac-091c-4644-8fe2-44954c09e4b4","resolution":{"observed_at":"2026-08-14T11:25:01.894703Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.053150Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.053150Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:0ff5c06574a92de31ec58ca95bafa90c84fb255c0acff87dd6fea02d14dbf248","observation_id":"48116dbd-c903-4e4e-86d6-3d580e64a90f","resolution":{"observed_at":"2026-08-14T11:25:01.053150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04861","last_updated":"2017-04-17T03:57:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-04-17T03:57:34Z","title":"MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.04861","snapshot_observed_at":"2026-08-14T11:25:01.060901Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.060901Z"},"links":{"cited_paper":"/paper/1704.04861","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:d0d7909f2afb200ab2fde91c94de4525932556e0942c00c6203f6afaa7c1229a","observation_id":"ffdb426b-9951-4669-8798-f25ddf71f412","resolution":{"observed_at":"2026-08-14T11:25:01.060901Z","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":"2026-08-14T11:25:01.863144Z","title":null,"venue":null,"work_id":"e0035f25-8e8b-4091-9446-cc61fdf3a81d","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.064790Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:82698286b65a504a8832d4e0e5488af916e3bbb1d75138d0df7f804ee6cbbadb","observation_id":"238f0962-da88-476c-952f-6d0f341da4bb","resolution":{"observed_at":"2026-08-14T11:25:01.868862Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.848916Z","title":null,"venue":null,"work_id":"cb6965ef-92d6-4720-a8dd-542f824f415a","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.068845Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:ed6c5f9575e7b66ee1119c47fb5a91fa53614cfe30609434dc6169c89551a25b","observation_id":"eeac21cd-8cf3-4e73-8e56-63530a07db87","resolution":{"observed_at":"2026-08-14T11:25:01.853230Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.835606Z","title":null,"venue":null,"work_id":"c7a80723-1c5a-4e27-8c39-15d58d0f7982","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.072502Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:a016d2f17ba3ae00e14eb72cae394f01ef91c47105fa6b01a6ae8ea9c3b903e7","observation_id":"dedb87df-e2c3-4213-89f7-35ba6786bbb3","resolution":{"observed_at":"2026-08-14T11:25:01.840267Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.10620","last_updated":"2019-05-25T15:44:40Z","snapshot_observed_at":"2026-08-16T09:29:45.408484Z","submitted_at":"2019-05-25T15:44:40Z","title":"ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks","version":1},"cited_work":{"arxiv_id":"1905.10620","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.10620","snapshot_observed_at":"2026-08-14T11:25:01.289666Z","title":"ShrinkTeaNet: Million-scale Lightweight Face Recognition via Shrinking Teacher-Student Networks","venue":"cs.CV","work_id":"233b4a05-5cbf-4891-a7a4-7473e2a67727","year":2019},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.076126Z"},"links":{"cited_paper":"/paper/1905.10620","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:8b04a024e9bed6a3f877eba434f79b1115a753b2a48cc00ad1861d1d342dc290","observation_id":"a8c574f9-b166-47c6-81e8-bd22bdd0c3e2","resolution":{"observed_at":"2026-08-14T11:25:01.294475Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.12256","last_updated":"2019-09-26T01:04:20Z","snapshot_observed_at":"2026-08-14T16:01:16.408926Z","submitted_at":"2019-07-29T08:04:37Z","title":"AirFace: Lightweight and Efficient Model for Face Recognition","version":3},"cited_work":{"arxiv_id":"1907.12256","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.12256","snapshot_observed_at":"2026-08-14T11:25:01.273035Z","title":"AirFace: Lightweight and Efficient Model for Face Recognition","venue":"cs.CV","work_id":"ede4e41b-bbc4-43d5-a370-81ef0ca25d6a","year":2019},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.081907Z"},"links":{"cited_paper":"/paper/1907.12256","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:af0d988ebc82c701f3b78021fef318fed166425b6cd73df53b43135ad09064b4","observation_id":"5d618789-bfc5-48d2-a79f-44b2d9ef972c","resolution":{"observed_at":"2026-08-14T11:25:01.277205Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.816482Z","title":"Zhang, X","venue":null,"work_id":"5964d7ac-13b2-4ce4-9d69-0c022984575f","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.085995Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:0858f5146ad0f66fc0b7678309b77c162371ebb7039de498b3e6aad7d4828942","observation_id":"e6965d4d-7474-4ce9-b7ad-f36b9ad48b1a","resolution":{"observed_at":"2026-08-14T11:25:01.820966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.802488Z","title":"Huang, Z","venue":null,"work_id":"8a1b3c56-6bb3-41c3-8412-6fca7587796a","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.090601Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:81675242de78f7387cc7b319eb294e19c70472c185a4038c0b2b169c7bebb524","observation_id":"e8f3b8a5-e7d0-41be-95f0-4e908799fec7","resolution":{"observed_at":"2026-08-14T11:25:01.806666Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.787853Z","title":null,"venue":null,"work_id":"a96a1461-0d44-4104-b56e-c4e93cdfb9b7","year":2008},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.094668Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:9fef51ff3c0e476e309a2c901940aad8ade8ab3e2c9de3bfca48864a7e01d350","observation_id":"0e625dbb-44a6-4a3d-b74b-eb02c533b2a7","resolution":{"observed_at":"2026-08-14T11:25:01.792289Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.771818Z","title":"Hubara, M","venue":null,"work_id":"eb54a1fb-080c-4e3e-ad93-de0a9fb0860a","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.098733Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:e833922789cf97235a4bb5b0f0dd25aa2669b5fe19d28a5be88371d2aeb73bfa","observation_id":"9577f21e-e877-4634-b5fd-18b2a2cd2396","resolution":{"observed_at":"2026-08-14T11:25:01.775770Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.759600Z","title":null,"venue":null,"work_id":"ce1d6ac9-415f-4082-b90d-9e24ccdad88a","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.102550Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:c99eea86d66cc82e32d6c695fa0baebd5837faea9a93cd79867489a8232df8e3","observation_id":"e6590255-8ea8-469d-973f-49395c86ce3a","resolution":{"observed_at":"2026-08-14T11:25:01.763800Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.744823Z","title":null,"venue":null,"work_id":"e1326d9e-a526-476d-9fcd-34bc7636858d","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.106340Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:a2e416ca2640cf40989a18ccf0265d43502c404c30d6c7ec9dcb3ffd15b8f7de","observation_id":"9ce45b52-8220-401a-aa51-43ac01735291","resolution":{"observed_at":"2026-08-14T11:25:01.750958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.728650Z","title":null,"venue":null,"work_id":"1d9bdf9b-f660-4eca-ae4f-54597d2aa3e4","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.110553Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:c09f101b7b245839d7f67d14343936aabed58abb12ff73c62fec63453fecf6e1","observation_id":"8fe9a29c-e482-4544-b18f-7ca9fa29f97c","resolution":{"observed_at":"2026-08-14T11:25:01.734958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.714815Z","title":null,"venue":null,"work_id":"ee700733-5c0a-4909-895c-d61183f35fe5","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.114445Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:91f5c11c5f7e5cf878b7754f7f3f6bd56d1881c0360d5c315cdb60781e28e525","observation_id":"a91cd1a3-ca8a-4d13-9117-98f439f0be08","resolution":{"observed_at":"2026-08-14T11:25:01.718910Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.701059Z","title":null,"venue":null,"work_id":"1c13d9a1-8054-49e4-9503-5147b2770a3f","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.118202Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:1d423205bd9957f14a063a9bf18453c0c2b8f6c95a23f496f5c4d4bb7f04725c","observation_id":"48be8933-f937-4493-b3de-b1782a711223","resolution":{"observed_at":"2026-08-14T11:25:01.705642Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.687918Z","title":null,"venue":null,"work_id":"b0adaba0-8c6f-45eb-99b7-86f4e5add8f4","year":null},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.122143Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:ca62c6244c7b9a0d04d5a64e9792b2afca2c2257f6dc55980856744d31e8f416","observation_id":"afef7dae-8eda-4df2-9378-fb23b23099f3","resolution":{"observed_at":"2026-08-14T11:25:01.691860Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.674909Z","title":null,"venue":null,"work_id":"f9ae9e69-bb73-4728-a886-4aac8c2a044d","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.126290Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:14bb50adafce35685754e375246011b0cb9468822a2057d01c3cb98812cc1143","observation_id":"1973c91a-2795-401b-b706-7b76171c2349","resolution":{"observed_at":"2026-08-14T11:25:01.678894Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.663091Z","title":"Rastegari, V","venue":null,"work_id":"01efbf27-e556-4b05-8169-78e863b78827","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.130163Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:aed4b1f6ce4293e8404e3af1405d6efc9426e52b3bdfe2f438aa7ff846c7a596","observation_id":"cf7b6c2f-d16b-4c98-a0e9-6e7dbb8702fe","resolution":{"observed_at":"2026-08-14T11:25:01.666731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.650674Z","title":"Sandler, A","venue":null,"work_id":"21dec8ee-b4f1-40e7-b6c2-c431c37b3780","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.133877Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:cc466b021a7b1625b7ed7d13ec721ac4b0e95975d2204d8be4a7738cfa82d0ed","observation_id":"cfe32354-d4e8-4ae9-a458-260ece2bd3e6","resolution":{"observed_at":"2026-08-14T11:25:01.655012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00178","last_updated":"2018-07-20T08:45:37Z","snapshot_observed_at":"2026-08-14T19:08:42.500096Z","submitted_at":"2018-06-01T03:18:10Z","title":"IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00178","snapshot_observed_at":"2026-08-14T11:25:01.137230Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.137230Z"},"links":{"cited_paper":"/paper/1806.00178","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:1d7b0d90cb81f512c43400571b63ae3cfbf4fde69b61000ba68e1126419770a4","observation_id":"b68748d0-94d0-4964-bf49-7da4247ec1fc","resolution":{"observed_at":"2026-08-14T11:25:01.137230Z","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":"2026-08-14T11:25:01.637039Z","title":null,"venue":null,"work_id":"8120e9ca-b88d-486c-b3ed-2294ce5ab6e6","year":2019},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.140956Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:fc2dbe28a0d46e370e70d2655028872526efafe298fc540773c0ae1db6d5c1a0","observation_id":"6465ce4f-d539-4090-ba81-666add93ae27","resolution":{"observed_at":"2026-08-14T11:25:01.641519Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.624344Z","title":null,"venue":null,"work_id":"756f4ee8-6ff2-42df-935f-5b5f2c1c0faa","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.144149Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:89a7d898848cf5aa1603493e4d35491cf04dc4384be3ed4ff74f5686df286718","observation_id":"0cdd9938-d2e3-4b62-8418-e56252765040","resolution":{"observed_at":"2026-08-14T11:25:01.628599Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.148153Z","title":"Schroff, D","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.148153Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:bb3942ecade8f4501d799021e3b1c2e06e50da225459b37373db6f9bcf4f5124","observation_id":"c2d7ef6e-68b6-40ad-a81e-b8df272d4b59","resolution":{"observed_at":"2026-08-14T11:25:01.148153Z","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":"2026-08-14T11:25:01.602060Z","title":"Simonyan and A","venue":null,"work_id":"f20fc553-de29-409d-ba50-395983e8cc37","year":2014},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.151778Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:57023a330fa6c23cfcc2ea2eabb34949f6b01bf909b2a67a606d5d7064eeccb9","observation_id":"9c9a212a-76b5-458f-8e3c-a71fb8d9b316","resolution":{"observed_at":"2026-08-14T11:25:01.606206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.588550Z","title":null,"venue":null,"work_id":"79bc873c-3926-4982-be77-9f8c9eedc345","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.155219Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:30b5549d0fb95e2473cff83b299f44a74edf40fbbf0b90806912e7003c7f12a6","observation_id":"adac7e65-09b8-4fe5-849f-b1452a4d2019","resolution":{"observed_at":"2026-08-14T11:25:01.593590Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.02152","last_updated":"2018-09-13T09:03:58Z","snapshot_observed_at":"2026-08-14T19:18:25.661534Z","submitted_at":"2018-05-06T05:36:07Z","title":"Quantization Mimic: Towards Very Tiny CNN for Object Detection","version":3},"cited_work":{"arxiv_id":"1805.02152","doi":null,"metadata_source":"pith","pith_arxiv_id":"1805.02152","snapshot_observed_at":"2026-08-14T11:25:01.242273Z","title":"Quantization Mimic: Towards Very Tiny CNN for Object Detection","venue":"cs.CV","work_id":"33613956-d217-4f52-b451-f3cf0d2190dc","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.158868Z"},"links":{"cited_paper":"/paper/1805.02152","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:78e4a05ad7a7f86bda2c1a7d7e2815da51d87b15fdca99e110635f9a5a4cb34a","observation_id":"0eb6f101-0fc4-4532-9acb-340e350db419","resolution":{"observed_at":"2026-08-14T11:25:01.248624Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.575640Z","title":null,"venue":null,"work_id":"a3c2efeb-b214-40ab-8cdb-96beaa140886","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.162530Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:6a0e6517159787f5fe46464b80a018038ed57f98bbf8110b0ffc70b6e18fbe20","observation_id":"34137a2d-61de-41e0-b887-34f2f1becddb","resolution":{"observed_at":"2026-08-14T11:25:01.580705Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.166195Z","title":"Zhang, Z","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.166195Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:56df0f6ff036ad06d9f51763693749536e9f0d6d4d3256d70d6df5c31e83280f","observation_id":"3fd9dfe0-b0ce-4bbd-9836-07d9bb004eec","resolution":{"observed_at":"2026-08-14T11:25:01.166195Z","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":"2026-08-14T11:25:01.554517Z","title":"Zheng, C","venue":null,"work_id":"ff749694-2745-45db-90d0-3046202fee8e","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.170061Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:86ffee02b5daa9e1f8e933ae7183195b61825a99f11a897fe4d1f6bb9c9dc2b9","observation_id":"929ba0f4-0d6c-497a-80c3-c8783b87db48","resolution":{"observed_at":"2026-08-14T11:25:01.558905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.539701Z","title":null,"venue":null,"work_id":"82013add-2019-4c91-8dc2-c36633f806fa","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.174108Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:987649f26b0743541e00c7f0fe57f42c9f70f799afd2c3ccc87c32ce94e3f17d","observation_id":"3fb44cf1-234a-4f27-b9b1-33a772e903b9","resolution":{"observed_at":"2026-08-14T11:25:01.545173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.515059Z","title":null,"venue":null,"work_id":"eefa102c-1568-4a54-b7a1-f1455555916d","year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.178199Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:b71b2a5b517e26b48f8f20412bd4ee3ce61d3ad01243d1e32617e2c86502fbea","observation_id":"8d7eb0ce-b1ac-4596-9bd7-3fba726d9732","resolution":{"observed_at":"2026-08-14T11:25:01.520632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.501212Z","title":null,"venue":null,"work_id":"550e3a32-5488-4628-afb5-97b0d20bfbf2","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.182415Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:8a1622ef4f0a8a19fbb7d7b7a92d7df6f2bad0405a03deb05d2710e331666b89","observation_id":"1eefc957-f9c8-4097-98d4-718bd7fe3868","resolution":{"observed_at":"2026-08-14T11:25:01.505637Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.07360","last_updated":"2016-11-04T21:26:08Z","snapshot_observed_at":"2026-08-14T22:09:04.541956Z","submitted_at":"2016-02-24T00:09:45Z","title":"SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.07360","snapshot_observed_at":"2026-08-14T11:25:01.186067Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.186067Z"},"links":{"cited_paper":"/paper/1602.07360","citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:8e6c8d9f812b4470382a5a6c8fbc7b5827f29fcbafc17f91f3a99d39d04e0ab4","observation_id":"d0bf65e3-3085-4185-89ac-1a4138bddff3","resolution":{"observed_at":"2026-08-14T11:25:01.186067Z","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":"2026-08-14T11:25:01.488829Z","title":"Zhang, J","venue":null,"work_id":"f08039d0-684a-4c1a-b436-5d72568b7fdd","year":2013},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.189965Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:6f4266521d9425924aaba57b4880c3634a1cb01c28c45b9afee7bc6421000cd5","observation_id":"1c2e26cb-c647-4595-a979-a3fb2c8997d3","resolution":{"observed_at":"2026-08-14T11:25:01.492900Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.471889Z","title":"Ignatov, R","venue":null,"work_id":"6816315e-5a0b-4d03-a98b-bac29d748ce9","year":2018},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.194123Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:9de44236c83ff5c2e42d892c1beccf300c54c05ac43e56aaba282fa6c65494e5","observation_id":"cc30080f-e0f7-4d7b-bd9f-9c17b223f0fc","resolution":{"observed_at":"2026-08-14T11:25:01.478869Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T11:25:01.457874Z","title":"Paszke, S","venue":null,"work_id":"f3e75c32-3104-4b03-9251-5fb41ae2433a","year":2017},"citing_paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform","version":3},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:01.197677Z"},"links":{"citing_paper":"/paper/1908.09124"},"observation_digest":"sha256:08b4d0ae5b59de07d9066d6ca3157734496d5b636b79a92729fdd2d8ecfb4cac","observation_id":"ea2c6a41-9062-4c45-83f4-ee8a857df1fd","resolution":{"observed_at":"2026-08-14T11:25:01.462118Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09124","last_updated":"2019-12-01T12:52:26Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T10:27:03.427545Z","submitted_at":"2019-08-24T11:21:38Z","title":"SeesawFaceNets: sparse and robust face verification model for mobile platform"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":44,"verified_exact":5,"verified_fuzzy":15},"total_outbound_references":64},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:1908.09124."}