{"as_of":"2026-08-16T19:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4ffb6a02d52da868d6a1158132bf7079ba069d88fd82043cbd2107e26b090fd8","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":"2026-08-14T15:35:01.174232Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"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/1908.00858/citation-record","integrity":"/paper/1908.00858/integrity","json":"/paper/1908.00858/citation-record.json","paper":"/paper/1908.00858"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:35:02.101060Z","title":"Almalioglu, M","venue":null,"work_id":"c62878e8-abf1-475f-949e-76558aaa7d70","year":2019},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.893911Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:56921cb91854ad25ff87cd811b224f520172db962fda495903cda8c95c7e2a75","observation_id":"50bc5bd1-e9c5-40a6-8481-a1674f497df1","resolution":{"observed_at":"2026-08-14T15:35:02.109389Z","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":"2026-08-14T15:35:02.078794Z","title":"Bhattacharya and N","venue":null,"work_id":"14cc3a2d-fa46-4816-b5c3-e6e0a1ff5a88","year":2016},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.902094Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:1c36f008ec78d7b998ada4bbceaf48a90c19beef31082a9de4c2a0f75ebfda58","observation_id":"2dc71265-3047-4e53-badd-39e924bf0547","resolution":{"observed_at":"2026-08-14T15:35:02.085440Z","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":"2026-08-14T15:35:02.055422Z","title":"Blanco-Claraco, F.- ´A","venue":null,"work_id":"162e0c20-7223-4239-aa25-358520ac3e1d","year":null},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.908304Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:f32bb869159086e82b93edf7cecdce24249734cbe35c411ca59482d4f5183494","observation_id":"c4c93445-a06c-4b0e-9ddd-b70a4de1e814","resolution":{"observed_at":"2026-08-14T15:35:02.063951Z","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":"2026-08-14T15:35:02.021711Z","title":null,"venue":null,"work_id":"107d8dc4-be81-41e6-9721-9103da818f9c","year":2017},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.915302Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:c5cf6d7a76e1a72c1d3c62f90424c903f5e3a4b1091a55cb07cceaba84fd8b0c","observation_id":"6ed6a7c2-f6a5-4ef5-8309-91e998eb6ad3","resolution":{"observed_at":"2026-08-14T15:35:02.031985Z","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":"2026-08-14T15:35:01.993538Z","title":"Cheng, D","venue":null,"work_id":"36dbd615-a238-4877-9602-b4d160cdf69d","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.921644Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:94639dd548d0bb3a7a2902603d37e55ef4e1dc9e5f6cfaf5d5ae789f09939cbd","observation_id":"57695770-eb6c-4cb2-a381-2f5cd768f0a6","resolution":{"observed_at":"2026-08-14T15:35:02.000252Z","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":"2026-08-14T15:35:01.967233Z","title":"Courbariaux, Y","venue":null,"work_id":"668fcd6e-8a94-4f8b-acc5-db7e3c7a49f5","year":2015},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.933009Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:2232d23f972fba3a35ba6b494cb768277db0ea95cfc5109b42ab2ba75eac5ca0","observation_id":"ba14c1d9-89f6-4a2d-bd57-90569c689376","resolution":{"observed_at":"2026-08-14T15:35:01.977910Z","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":"2026-08-14T15:35:01.944684Z","title":"Dosovitskiy, P","venue":null,"work_id":"8edbb6c9-5ecc-45c2-adbd-8bbfb127664e","year":2016},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.941158Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:7ec3e2f741f9e75332ea901cbeb9ccec07ed5c9b0e38d909d17b19b8b7b4f8ae","observation_id":"b67dbace-fc24-42bd-acee-5f23f113ef76","resolution":{"observed_at":"2026-08-14T15:35:01.949902Z","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":"2026-08-14T15:35:01.923373Z","title":"Geiger, P","venue":null,"work_id":"11da7767-46ce-4ceb-8d37-f66ed0c53d03","year":2012},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.952642Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:45824e1dfb83408ccd3b5f22b15d692bbee1236ba7eaa8fa9871150a783f4cee","observation_id":"25896cb4-4ecd-49a7-be38-923bd21b8e60","resolution":{"observed_at":"2026-08-14T15:35:01.928717Z","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":"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":"2026-08-14T15:35:00.966056Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.966056Z"},"links":{"cited_paper":"/paper/1412.6115","citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:2c5aead306d2a376d53515a76d702ba5d81ea2c84810f3ba8d17c5b784e475de","observation_id":"dcc51bed-5e03-4b6a-a70f-83b374408a97","resolution":{"observed_at":"2026-08-14T15:35:00.966056Z","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":"2026-08-14T15:35:01.906545Z","title":null,"venue":null,"work_id":"e9580a41-e941-4660-9a77-24ab02732209","year":2016},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.984399Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:9dadf4b3e46d2569aacc66ddab9f72443bb79fcb9d7547a529ec89c36e12e13f","observation_id":"3839a91d-d5e9-4f7b-814c-4afecdccf07e","resolution":{"observed_at":"2026-08-14T15:35:01.911301Z","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":"2026-08-14T15:35:01.886378Z","title":"Gupta, A","venue":null,"work_id":"8821a2e2-a888-4d49-b97c-7f90808aa9d7","year":2015},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:00.994572Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:21bb2c79427c4a0ece807c9e82277d0911476eaf9c10cf6456e07138c98dd9d0","observation_id":"0f3305c5-e837-4997-be12-3afca06787de","resolution":{"observed_at":"2026-08-14T15:35:01.892108Z","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":"2026-08-14T15:35:01.861365Z","title":null,"venue":null,"work_id":"eca417fe-29a9-4f57-b6f2-bac7f56243a7","year":2016},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.001377Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:b266aefd7effb712fa7c98c26ba125a7c80e4a0461fe241b1c8ebb2d70541d66","observation_id":"f7f299ac-ce4f-4dec-aece-30bd4683cf6a","resolution":{"observed_at":"2026-08-14T15:35:01.870317Z","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":"2026-08-14T15:35:01.842236Z","title":null,"venue":null,"work_id":"e6326da4-8f92-4ccd-9399-c9c48b411fbc","year":2017},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.007566Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:ab8f7d2f7ecdf4b730f8cc84e4728025479da67a66d1d1e1867e2e917f89c73e","observation_id":"1b53ae0d-386d-4325-8651-39d1bd5ad520","resolution":{"observed_at":"2026-08-14T15:35:01.847382Z","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":"2026-08-14T15:35:01.816417Z","title":null,"venue":null,"work_id":"80a20938-c9c4-411c-8343-7648bb64ece5","year":2015},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.016426Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:d60635b487ef7252c7f1b7fe8868c067e1cf1a49cf4fdb019c0773aeb7157f3c","observation_id":"3c0eb8ad-a33e-44dc-b913-31635ec1799c","resolution":{"observed_at":"2026-08-14T15:35:01.822020Z","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":"2026-08-14T15:35:01.799122Z","title":"Hartley and A","venue":null,"work_id":"25c060b2-c6ca-4d27-85c7-df3689ccafad","year":null},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.024493Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:dcbb91777455d2ebefdf335796df865a9cd219298ae38add6c4ce9e2e8b3d495","observation_id":"8bb348f7-7939-40c6-ae1c-949d8054e0e0","resolution":{"observed_at":"2026-08-14T15:35:01.804727Z","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":"2026-08-14T15:35:01.781564Z","title":"Hinton, O","venue":null,"work_id":"b9b32cb1-e457-4639-b7f6-65220b038064","year":2015},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.030498Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:f9eb9902d0ce02b0efcf10759985202fa2cfac03fc50ecc78748068df7ff7def","observation_id":"584c31ed-4642-488e-9ed2-a9556b487b00","resolution":{"observed_at":"2026-08-14T15:35:01.786579Z","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":"2026-08-14T15:35:01.762379Z","title":"Hubara, M","venue":null,"work_id":"9635d950-cf25-4016-887c-38a380fe3aaa","year":2016},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.036510Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:7df382a5a1ef787cf5966c5d78f331a60457f51a1c5526486b0abbf467932b20","observation_id":"bb750dd1-201b-4896-a960-5880233e65b4","resolution":{"observed_at":"2026-08-14T15:35:01.767487Z","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":"2026-08-14T15:35:01.741118Z","title":"Jaderberg, A","venue":null,"work_id":"ad3ac492-fd41-4e4c-9d31-ad5d72fca259","year":2014},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.041473Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:5baeeec0b503329e69214e0b17812345cd1ca0402419a036f49f044bc5c6ab82","observation_id":"5345d4ac-c41c-45ca-bb92-6280954e67e8","resolution":{"observed_at":"2026-08-14T15:35:01.748176Z","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":"2026-08-14T15:35:01.723330Z","title":null,"venue":null,"work_id":"013b9319-f9ea-4358-a002-c136ca26191b","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.050577Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:6b3f53e203e698d9eb32d71d07e1a960661bff1c4a6ab91767b9bbdd0182f0c8","observation_id":"a8fc8321-bf0d-4ea5-87ea-f46dc8c4cb59","resolution":{"observed_at":"2026-08-14T15:35:01.728288Z","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":"2026-08-14T15:35:01.706348Z","title":"Lopez-Paz, L","venue":null,"work_id":"b9eef94a-77aa-44fa-98fe-a6d1e6b342fa","year":2016},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.057837Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:a24b92aba0c1d2e2e985f1f514b644f39adaf56fe60bfde69e4f4b831735e90e","observation_id":"68d17adc-7608-4145-86d1-19f866c38813","resolution":{"observed_at":"2026-08-14T15:35:01.711083Z","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":"2026-08-14T15:35:01.672392Z","title":null,"venue":null,"work_id":"3b166c31-1839-40a8-b38a-770bef4ac2ec","year":2017},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.063946Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:6330e68d6ac68b2182f136f83ac4ca49d3414e7c0d114767dade50069b0e0794","observation_id":"970bff58-eb93-4d86-9fc1-71b69f88662a","resolution":{"observed_at":"2026-08-14T15:35:01.680135Z","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":"2026-08-14T15:35:01.648716Z","title":"Molchanov, A","venue":null,"work_id":"51a8f9d5-4bde-4f47-8e48-31b00ee39f0b","year":2017},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.070094Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:9482f6366f9f13eb5b72cee5aaa8b4b3dc664d54b1cbd152093ba044860741b4","observation_id":"a0b95177-d1d8-457d-b80c-fe011c640d65","resolution":{"observed_at":"2026-08-14T15:35:01.655077Z","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":"2026-08-14T15:35:01.620933Z","title":"Polino, R","venue":null,"work_id":"ad8cc2b0-fd57-4bdd-bb37-3a9b17d279ff","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.076282Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:c79f625aa7484de8d042f362235441f9f586b5c95c8af2785c675f06de1059b2","observation_id":"3a47b805-b675-4805-af34-15949a3b0a2f","resolution":{"observed_at":"2026-08-14T15:35:01.630036Z","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":"2026-08-14T15:35:01.596650Z","title":"Rigamonti, A","venue":null,"work_id":"30ddbf02-8f87-4a40-b89d-66f1d4eda8fb","year":2013},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.083286Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:301877ac046ef8523d99c28d6c72d80ce86418db1621b267aee944db0545c8ec","observation_id":"fc17f203-62b3-42f7-be7f-319709a7cdbb","resolution":{"observed_at":"2026-08-14T15:35:01.604632Z","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":"2026-08-14T15:35:01.569509Z","title":"Romero, N","venue":null,"work_id":"e2c04b85-d9d3-47fd-9b73-0d145cb1baa7","year":null},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.092552Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:6d596c4f9260459c53464b95cc79aa16aeafcd559a930874bd4a200e01c3f074","observation_id":"76c510fe-2806-4c54-9180-cb9e7c47e28e","resolution":{"observed_at":"2026-08-14T15:35:01.577685Z","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":"2026-08-14T15:35:01.536671Z","title":null,"venue":null,"work_id":"cc7c7d65-bada-4e1f-99ed-e2fbb405853d","year":null},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.098371Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:9d96699ed21b9d868b3ca9668fa69fc9596712d5c75bcb04836394002849f823","observation_id":"653012eb-261c-4ab2-ac6e-30b718a0368c","resolution":{"observed_at":"2026-08-14T15:35:01.549985Z","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":"2026-08-14T15:35:01.512604Z","title":null,"venue":null,"work_id":"3686cefa-6374-4cc6-96e6-55540aeacf27","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.105584Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:ca04ff739a2c4ebc460f2501d270079121792dd920e4597ab6f568d85dd760f3","observation_id":"951e57e7-58c9-433f-a209-a66e8a3deca4","resolution":{"observed_at":"2026-08-14T15:35:01.519564Z","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":"2026-08-14T15:35:01.485885Z","title":"Srivastava, G","venue":null,"work_id":"e310467a-f9a5-4ff0-87fe-8b936451641d","year":1929},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.110960Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:60dc7c306597efc5d63c984f7d289552fa3248211ea8790751e47caf60ac0526","observation_id":"e8585a1f-2f9b-441c-9bd2-9d4b5dcf8f8d","resolution":{"observed_at":"2026-08-14T15:35:01.492862Z","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":"2026-08-14T15:35:01.459917Z","title":"Sturm, N","venue":null,"work_id":"bbc21855-8c32-4f14-83d2-07c0cdc9f8a0","year":2012},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.116081Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:00df08a19f53db6d0991274ad0230b48a30431f8ec4c819419a823be7f32b10f","observation_id":"2a2dccae-a2a4-4aa7-adec-a92ead88c728","resolution":{"observed_at":"2026-08-14T15:35:01.466278Z","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":"2026-08-14T15:35:01.427603Z","title":null,"venue":null,"work_id":"cda9cfa5-6dee-406f-bb52-15f54c70869a","year":null},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.121566Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:cd1797a229cc7fc5a6eed211c095d85f300e74c2eb8e2c17659bcdc679005661","observation_id":"861fdfb9-20d6-410a-8243-4a23ea8259d3","resolution":{"observed_at":"2026-08-14T15:35:01.439587Z","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":"2026-08-14T15:35:01.405242Z","title":"Vanhoucke, A","venue":null,"work_id":"9faa85d4-ca9a-47ad-bdcd-3c4275e477b4","year":2011},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.127529Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:c598d6ccceae5a3d4a316fc9afb4b852c752fa932ca5a0cac8f3f15ecf25c900","observation_id":"1138fb3f-100e-4673-bf61-ba2c33cc3e9b","resolution":{"observed_at":"2026-08-14T15:35:01.411119Z","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":"2026-08-14T15:35:01.382638Z","title":null,"venue":null,"work_id":"756408fe-645d-4667-9738-3281dfa6c08e","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.134568Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:23dd391152373a63ef1cc4c32fb6f84f98f467ad785d8a6e29f08324325efa97","observation_id":"c023bf74-10b4-4878-b05a-f9a59a17ee17","resolution":{"observed_at":"2026-08-14T15:35:01.387933Z","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":"2026-08-14T15:35:01.361710Z","title":null,"venue":null,"work_id":"413d05c3-9508-49ae-92af-4ed7b8ab9ebf","year":2017},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.141350Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:ef5365ed116c57c31aeaea2d5da0a9bb89a74b06a59b172f2004a3f9d63c6ab5","observation_id":"266356d9-5f36-4b5d-acdc-d74cbabee5ea","resolution":{"observed_at":"2026-08-14T15:35:01.368073Z","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":"2026-08-14T15:35:01.338702Z","title":null,"venue":null,"work_id":"fb676520-2e05-4ae3-aa42-95a23eafa31a","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.147942Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:3623513f32b5b1d140a4ad5b457eb1f9d4217a69eac6a9a3bd824d4c955a91ca","observation_id":"ce191b5d-2193-4be8-8a1b-a70607fe6ac8","resolution":{"observed_at":"2026-08-14T15:35:01.345798Z","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":"2026-08-14T15:35:01.320299Z","title":null,"venue":null,"work_id":"b9a42e94-d9e8-4bbf-b79d-08384da9a09f","year":2017},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.154517Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:8b9cdff022f4cf808b1ad81a860eb880d1fa03653d6b164f61add94a3662eb13","observation_id":"27c33bea-e009-4152-a72a-c48f32d4da20","resolution":{"observed_at":"2026-08-14T15:35:01.326108Z","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":"2026-08-14T15:35:01.296946Z","title":null,"venue":null,"work_id":"1c225334-c49a-491b-9449-bf886025418c","year":2017},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.162644Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:0b5fac99eaa44f7010a64123ee9ac106478cc8f0a252ea02675bbcab885380b3","observation_id":"985cb9bd-eac7-4918-8052-19fa37c86bec","resolution":{"observed_at":"2026-08-14T15:35:01.303583Z","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":"2026-08-14T15:35:01.269135Z","title":null,"venue":null,"work_id":"cc512a1c-d9bb-4abd-8285-f3e0af89ae5d","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.168542Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:718abc459589e7c6e1d5ce8afb615f766e14b9cb14d95c845b82f170591ead20","observation_id":"68d33d95-e257-4ec5-8c29-a58725a7f790","resolution":{"observed_at":"2026-08-14T15:35:01.274173Z","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":"2026-08-14T15:35:01.246434Z","title":null,"venue":null,"work_id":"cc83cc5f-0dbd-4f07-ba5b-8e5d4d7bb9a3","year":2018},"citing_paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T15:35:01.174232Z"},"links":{"citing_paper":"/paper/1908.00858"},"observation_digest":"sha256:c5f9abecf6f1a45596ddfac6bd9ae8a176bb7f04a7d57ec06c99fa4aca4ce81f","observation_id":"f7897ef7-2db7-46dc-828d-0de8d632745f","resolution":{"observed_at":"2026-08-14T15:35:01.254775Z","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"}}],"paper":{"arxiv_id":"1908.00858","last_updated":"2019-08-02T13:48:31Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T05:45:01.574752Z","submitted_at":"2019-08-02T13:48:31Z","title":"Distilling Knowledge From a Deep Pose Regressor Network"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":20},"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":"2026-08-16T06:30:59.297886+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 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.00858."}