{"as_of":"2026-08-08T02:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2264402f8618dc854c205e1bb67d60684c78bf5ce5adeecdb84f7a1a2938d4e7","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:57:23.867701Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T16:57:23.684754Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T16:57:23.909025Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"cited_work":{"arxiv_id":"2508.17567","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.17567","snapshot_observed_at":"2026-08-05T16:57:23.909025Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","venue":"cs.CV","work_id":"1b566a2b-88b0-4415-b755-a7781c973863","year":2025},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.684754Z"},"links":{"cited_paper":"/paper/2508.17567","citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:3369d0270822aaf43d2fcec2a3265ffdbffadff2d874b6d52c897cbcce0fc2a7","observation_id":"a606d9e1-63a3-4c55-9117-0308bb5b4164","resolution":{"observed_at":"2026-08-05T16:57:23.913616Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2508.17567/citation-record","integrity":"/paper/2508.17567/integrity","json":"/paper/2508.17567/citation-record.json","paper":"/paper/2508.17567"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T16:57:24.028653Z","title":null,"venue":null,"work_id":"c8c65ca1-cbe4-4b9a-9441-4e44623e6a68","year":2022},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.640155Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:3cba87d294f761f1140ec72ffc453d96c9efb305a654a53dac3252160f59823d","observation_id":"cfadc122-75f9-4c87-b624-783bd5a72810","resolution":{"observed_at":"2026-08-05T16:57:24.030771Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.926366Z","title":null,"venue":null,"work_id":"f646168a-f0aa-4974-9a3c-90fa073b8557","year":null},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.865125Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:71b6c07398358b388de271e78365298dc8838ffb3d95677938a95083a1a15733","observation_id":"6df653ef-c090-4505-bdfa-2d5f17e7a049","resolution":{"observed_at":"2026-08-05T16:57:23.928584Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.918922Z","title":"Ideally, as a sanity check of our PyTorch implementation, we would have derived nearly equivalent performance between the two implementations","venue":null,"work_id":"34ddb1d2-d433-428e-9191-f1ca715f59c4","year":null},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.867701Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:6b61265e75cda00a9563f4abd0a2b4b97b11c8079d479b3d0c3a140c55cbebb7","observation_id":"702143c1-53eb-41b0-9037-f3757771cf94","resolution":{"observed_at":"2026-08-05T16:57:23.921689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.939742Z","title":"A large part of the challenge lies in the fact that TensorFlow abstracts much more logic away from the programmer, so we had to do our best to deduce default and hidden behaviors","venue":null,"work_id":"e8addb2c-a542-4785-9610-553accd55f20","year":null},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.851318Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:e072b3fa05d77f604488254f993999f2141f8f0b1c62019c700be97a8557b198","observation_id":"c201dd45-73b2-4f0b-95ef-1917934b7517","resolution":{"observed_at":"2026-08-05T16:57:23.942486Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"cited_work":{"arxiv_id":"2508.17567","doi":null,"metadata_source":"pith","pith_arxiv_id":"2508.17567","snapshot_observed_at":"2026-08-05T16:57:23.909025Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","venue":"cs.CV","work_id":"1b566a2b-88b0-4415-b755-a7781c973863","year":2025},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.684754Z"},"links":{"cited_paper":"/paper/2508.17567","citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:3369d0270822aaf43d2fcec2a3265ffdbffadff2d874b6d52c897cbcce0fc2a7","observation_id":"a606d9e1-63a3-4c55-9117-0308bb5b4164","resolution":{"observed_at":"2026-08-05T16:57:23.913616Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:24.021658Z","title":"R: A Language and Environment for Statistical Computing","venue":null,"work_id":"d4cbf963-060c-4dcb-835f-c5ce9bbb8f36","year":2021},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.712810Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:cf21faea1a2d701f2c6cce24af495da154f60cafe39cf8d2a39493d0720b9ae6","observation_id":"562d2fbf-d93e-477f-bfc8-700ff325ff6a","resolution":{"observed_at":"2026-08-05T16:57:24.024117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:24.013532Z","title":"Robin, N","venue":null,"work_id":"957efa47-9551-44b8-83db-57296c2f1aff","year":2011},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.715537Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:10605ebf5d59e7f8b68ae0caf2ceaea9e61a9b2c4339b616b51d758ac7346207","observation_id":"1787da54-080e-4e51-85d1-f673c8754277","resolution":{"observed_at":"2026-08-05T16:57:24.015935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:24.003752Z","title":null,"venue":null,"work_id":"efdbcc03-b47d-4cfb-a471-7c32be619e70","year":1996},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.744753Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:a3426da232f0a99052bf278228177624175f3903c3958a341bf2121c54cc9fb7","observation_id":"2e699f39-cb52-4d35-a091-7c28d69d7980","resolution":{"observed_at":"2026-08-05T16:57:24.007593Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.02391","last_updated":"2019-12-03T02:13:03Z","snapshot_observed_at":"2026-07-06T05:13:49.420787Z","submitted_at":"2016-10-07T19:54:24Z","title":"Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.02391","snapshot_observed_at":"2026-08-05T16:57:23.774749Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.774749Z"},"links":{"cited_paper":"/paper/1610.02391","citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:3e07862ce4571b67e9d4a80367957265718b9bbb666bc7a9aac7d3982b149c98","observation_id":"18b3893b-f330-4e0c-92e8-4fac948bb7b3","resolution":{"observed_at":"2026-08-05T16:57:23.774749Z","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":"2026-08-05T16:57:23.988531Z","title":null,"venue":null,"work_id":"f0921a32-499c-4ea9-b2f0-36059d4ef327","year":2021},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.794796Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:b0adabb81f2f6e91fae736a151ddd8f47312030e2f4ccd7f4df6a61d67c72630","observation_id":"bd307361-b496-407c-8fa1-2a2da77d1e12","resolution":{"observed_at":"2026-08-05T16:57:23.994750Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.979980Z","title":"MRNet Competition","venue":null,"work_id":"15eaeda5-c242-4a00-a971-8b89728174e4","year":2023},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.816657Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:8bffe6ef32b55c77c7e3d05989a0f139844340411fd393eaad0fe59e4dbe08de","observation_id":"59381f7e-6ce3-4c4c-b5c1-7c00af6636c3","resolution":{"observed_at":"2026-08-05T16:57:23.982414Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.971375Z","title":null,"venue":null,"work_id":"86f65749-c704-4246-98d4-fde1396ec114","year":2021},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.840657Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:832f3a10fb6ff67a07e5bb9ef56bc18b47d4a57bb0a2083e639f381e8ad16b4b","observation_id":"bc19812e-0e4b-49ef-8b0e-76a89bd90ad3","resolution":{"observed_at":"2026-08-05T16:57:23.973668Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.962308Z","title":"Wilcoxon","venue":null,"work_id":"827aa160-0130-4111-bb30-3d2eab6740f2","year":1945},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.843245Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:1e3168d44a104f58d12f4020e4c015394a445789794b208096e50c371086ba6b","observation_id":"17682dfa-4d2e-415d-bd29-15134e647a5a","resolution":{"observed_at":"2026-08-05T16:57:23.966337Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.954065Z","title":"Zhang, Y","venue":null,"work_id":"2707b434-e66b-4d7a-9506-9d3f7cff5b1d","year":2020},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.845840Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:7eb55a7ced2a2577925b228ddee6128ae17e020a187c815a0f873604dab2a48b","observation_id":"f9e8ace7-4d51-4177-bc7c-881f49f0e0df","resolution":{"observed_at":"2026-08-05T16:57:23.956405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-05T16:57:23.947129Z","title":null,"venue":null,"work_id":"8e9f8deb-7924-4424-90bd-098a802e34cd","year":2023},"citing_paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T16:57:23.848551Z"},"links":{"citing_paper":"/paper/2508.17567"},"observation_digest":"sha256:37dbf4d4314a9c7b42971b01dcea54077e1d4e1ab2a416506d9b7645fec15656","observation_id":"2fa5873a-2829-4386-a241-4d30fdd608ca","resolution":{"observed_at":"2026-08-05T16:57:23.949485Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2508.17567","last_updated":"2025-08-26T02:41:34Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-05T16:57:22.954858Z","submitted_at":"2025-08-25T00:33:43Z","title":"Towards Optimal Convolutional Transfer Learning Architectures for Breast Lesion Classification and ACL Tear Detection"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":7},"total_outbound_references":15},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2508.17567."}