{"as_of":"2026-08-06T03:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0ab3ea79a11b5222110058bee0876affa6d41129f59b07f13d9ae76a5fbb14e7","coverage":[{"denominator":28,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-07T05:11:07.875952Z","state":"measured"},{"denominator":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2604.27870/citation-record","integrity":"/paper/2604.27870/integrity","json":"/paper/2604.27870/citation-record.json","paper":"/paper/2604.27870"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1145/3065386","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T22:36:36.007355Z","title":"ImageNet classific ation with deep convolutional neural networks","venue":"Communications of the ACM","work_id":"3fad2fdd-6667-4aaf-b347-6713b25ff82c","year":2012},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:9023b4fcc635aaeec5f28b91cf07c3e61a479768eee5167b2aeb00a24c35dd03","observation_id":"e6bf9c7e-fcaa-4c4c-8e23-6fe701e685c2","resolution":{"observed_at":"2026-05-09T05:15:14.615702Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-11T17:19:15.631858+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T17:19:15.631858+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Bengio Y: Deep learning","venue":null,"work_id":"3cb97020-bab5-4614-b0b2-3c450d29ff41","year":2015},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:1b80a95697d0513ecd7837551d5282c8484b4347f4eb3c4e4d644666ed84eed5","observation_id":"dd9d158a-fd58-4848-94ca-8ea348bef116","resolution":{"observed_at":"2026-05-27T10:49:02.924755Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"In: International Conference on Learning Representations (ICLR) (2021)","venue":null,"work_id":"86c3e0ce-b5fc-4ae4-8126-4d8526fd569a","year":2021},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:08fb47834019b307fe58581b6267d04d425d2285ed8f292fa34a5f1b643d968f","observation_id":"8e0b4ce9-4276-45df-93dd-9b958e16466a","resolution":{"observed_at":"2026-05-27T10:49:02.939980Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022)","venue":null,"work_id":"16c409d9-9ec4-451b-bbb8-33195d7fbf60","year":2022},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:54b186a00eca7115aef703646e25ba4e14e1290ec2409602b536c7ae6bf595aa","observation_id":"e987b8ac-a13a-488b-b27b-5c6bfa4c6d71","resolution":{"observed_at":"2026-05-27T10:49:02.928915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"MIT Press, Cambridge, MA (2016).http://www.deeplearningbook.org","venue":null,"work_id":"e18c3627-8b63-47fd-84a7-7704cbcff936","year":2016},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:f2ee218e8fdade7c94b6ef6034cd4d87c1c3fb5d3ba9e7dd580bf33183155d81","observation_id":"5de68488-b438-4fbf-afe8-dcf512410c03","resolution":{"observed_at":"2026-05-27T10:49:02.921602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bdb1a980-0695-4065-9096-ad67b331c144","year":2015},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:1bfc6440dee3844acc25d78eaa9a7e878c27232ce7c9578a8eb286cc83672a7b","observation_id":"9eae2f09-23ce-4cd6-a112-930ec033adcf","resolution":{"observed_at":"2026-05-27T10:49:02.918058Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-09T00:55:49.796713Z","title":"In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"62038134-6bd8-4609-8804-e6989d98340e","year":2016},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:c98c96e8adf06927ce07071e984b4312c321daf24b308a8856f7de088c1a02df","observation_id":"b544a17a-bddd-435a-af69-505289f76a64","resolution":{"observed_at":"2026-05-27T10:49:02.933012Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1805.12177","last_updated":"2019-12-31T13:40:12Z","snapshot_observed_at":"2026-07-06T06:42:08.107734Z","submitted_at":"2018-05-30T18:56:33Z","title":"Why do deep convolutional networks generalize so poorly to small image transformations?","version":4},"cited_work":{"arxiv_id":"1805.12177","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1805.12177","snapshot_observed_at":"2026-07-02T11:46:55.293418Z","title":"Why do deep convolutional networks generalize so poorly to small image transformations?","venue":null,"work_id":"a7da9079-68d2-4cd7-97eb-523cedc8618e","year":2015},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"cited_paper":"/paper/1805.12177","citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:10221997931b104947cbabefba5be29ec1da307dba110fc0eba0d411f3d22fd0","observation_id":"86ed36c4-010f-4634-84af-36f34baa59f6","resolution":{"observed_at":"2026-05-12T10:36:30.825299Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"47c1a08d-d758-4329-842c-7d6e3fc353cf","year":2018},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:29674368d492c768271dfd015b03cd457409262cc475546a802c4c1697f54bb1","observation_id":"24de3679-9687-48f4-88b3-4f3992ed1e0e","resolution":{"observed_at":"2026-05-27T10:49:02.936626Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Journal of Big Data6(2019) https://doi.org/10.1186/ s40537-019-0197-0","venue":null,"work_id":"8d83000f-ff3f-45a7-827b-f4a488544aa3","year":2019},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:1aef287346823b6cca29430eb2b621ec7a76eaf5323522bbc6c0eaee9233e299","observation_id":"cb2f0bc8-6b37-4c3a-8dba-403bac526c9d","resolution":{"observed_at":"2026-05-27T10:49:02.906104Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05861","last_updated":"2021-10-12T09:51:07Z","snapshot_observed_at":"2026-07-06T11:56:53.376781Z","submitted_at":"2021-10-12T09:51:07Z","title":"Convolutional Neural Networks Are Not Invariant to Translation, but They Can Learn to Be","version":1},"cited_work":{"arxiv_id":"2110.05861","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.05861","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"CoRRabs/2110.05861(2021) 2110.05861","venue":null,"work_id":"85ec8f23-a156-4d53-8d53-1820f1678f9c","year":2021},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"cited_paper":"/paper/2110.05861","citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:5700c2060685e6f398cb5d06a95946e0dbaf61540d55f559782301379c310e58","observation_id":"dfb1911a-0656-4f6c-8663-ae59b05787ed","resolution":{"observed_at":"2026-05-12T10:36:30.838472Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1109/tpami.2012.230","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"journal=","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","work_id":"270ae7e6-4f8d-4373-a146-e2f30a103b88","year":2013},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:64e9ba335bffffd86ab2837c004133dcaf11b7001a6d9dab9252321bea2be298","observation_id":"ea16e5de-d7f5-4efe-b5be-bc1c93597d02","resolution":{"observed_at":"2026-05-09T05:15:14.617693Z","resolver_source":"doi","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-11T17:49:38.919166+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T17:49:38.919166+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.11486","last_updated":"2019-06-09T00:27:38Z","snapshot_observed_at":"2026-07-06T07:48:28.981402Z","submitted_at":"2019-04-25T17:56:21Z","title":"Making Convolutional Networks Shift-Invariant Again","version":2},"cited_work":{"arxiv_id":"1904.11486","doi":null,"metadata_source":"pith","pith_arxiv_id":"1904.11486","snapshot_observed_at":"2026-07-04T10:19:47.805100Z","title":"https: //arxiv.org/abs/1904.11486","venue":"cs.CV","work_id":"e5ad9ebb-086b-4955-a8ca-db82e9adb574","year":2019},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"cited_paper":"/paper/1904.11486","citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:71459d768376defc1d7c87329675eafde9c6e6a45b639dfa416815e822c6cabe","observation_id":"8440abb2-8c39-44f4-ae05-0f7057b27a26","resolution":{"observed_at":"2026-05-12T10:36:30.830270Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1312.4400","last_updated":"2014-03-04T05:15:42Z","snapshot_observed_at":"2026-08-02T17:47:13.893077Z","submitted_at":"2013-12-16T15:34:13Z","title":"Network In Network","version":3},"cited_work":{"arxiv_id":"1312.4400","doi":null,"metadata_source":"pith","pith_arxiv_id":"1312.4400","snapshot_observed_at":"2026-07-02T08:06:47.826842Z","title":"Network In Network","venue":"cs.NE","work_id":"d0d875f6-6330-48b0-8f92-300cbfb5d81a","year":2013},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"cited_paper":"/paper/1312.4400","citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:5b797b2ab367dc9d65b582fcd181ef82e35381367fc4a080c6c86ceab4045ed1","observation_id":"b722eba0-801c-40d8-9518-468e386d445d","resolution":{"observed_at":"2026-05-12T10:36:30.842503Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Bowers, C.J.H.L","venue":null,"work_id":"b46574bf-55f9-4f28-b149-2d7fa6c35e9a","year":2016},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:331233caacfec1eab81e588ccf8bf37fce994accf0d759a82660c806b9e56279","observation_id":"2d53c8d2-7f37-4ba1-86fb-df5cb66f47d0","resolution":{"observed_at":"2026-05-27T10:49:02.909059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"IEEE transactions on image processing13(4), 600–612 (2004)","venue":null,"work_id":"742cb346-33a2-456a-9bab-1f0aba860877","year":2004},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:6520bc28187e5a0508d5b6fe955cd5785a8db5c12fea76809e355a8d1b85b0bb","observation_id":"2ba3387b-9144-45d3-88e4-d2b3fc8f542f","resolution":{"observed_at":"2026-05-27T10:49:02.894295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Malo, J.M.A","venue":null,"work_id":"72e86cb4-3a63-4355-b3fc-7fd521eaa222","year":1997},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:136b52e72a4c0632c4d9a587748870e2b8c1db940a183664b03f88f586edd4af","observation_id":"ec4472e5-e044-404b-91d5-31cf8b74c00f","resolution":{"observed_at":"2026-05-27T10:49:02.902552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.2352/issn.2470-1173.2016.16.hvei-103","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Electronic Imaging2016, 1–6 (2016) https://doi.org/10.2352/ISSN.2470-1173.2016.16.HVEI-103","venue":"Electronic Imaging","work_id":"deacc825-198d-4874-8594-250e53af2dc6","year":2016},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:a45e80e6cd0378bdf75d481e8baa1a4ac19fd4e4e6d937d3875877fb0358f6a8","observation_id":"dd83d1ba-6f7c-4b03-99b9-46cce6d46a1c","resolution":{"observed_at":"2026-05-09T05:15:14.621613Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"68e2ed36-81a5-47c0-a9ee-d6de8bc4d7a9","year":2019},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:b4e8889cb7c728add471b5dbe55372897c5dc90a6d065c780405fa5645519667","observation_id":"63eb412d-c342-4b12-bbaf-9093ed553186","resolution":{"observed_at":"2026-05-27T10:49:02.884153Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.10211","last_updated":"2025-03-12T15:12:43Z","snapshot_observed_at":"2026-07-06T20:06:35.280407Z","submitted_at":"2024-12-13T15:34:34Z","title":"RAID-Database: human Responses to Affine Image Distortions","version":2},"cited_work":{"arxiv_id":"2412.10211","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.10211","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"https://arxiv.org/abs/2412.10211","venue":null,"work_id":"3251c683-aa2d-4fe5-a8c1-57ec54e0b5fe","year":2025},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"cited_paper":"/paper/2412.10211","citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:0af8b14a6ed92c57da65f5776a4eb44fda4084a05bf61616b246922789e6f1d1","observation_id":"9eeda65a-df07-467a-a187-e07070721dc6","resolution":{"observed_at":"2026-05-12T10:36:30.821240Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"The handbook of brain theory and neural networks3361(10) (1995)","venue":null,"work_id":"cbdc916a-4c6b-4d72-885b-7d0f385b97b0","year":1995},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:80627cc5391bbfb5b74a222acae7eb8a779954f8e7d39f449ef1a0c7b755fadb","observation_id":"ea90d66e-41e8-48e2-99c4-5967d5cb136e","resolution":{"observed_at":"2026-05-27T10:49:02.890842Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"In: Ghahra- mani, Z., Welling, M., Cortes, C., Lawrence, N., Weinberger, K.Q","venue":null,"work_id":"6672ef99-35af-45ae-aa25-c2c71632dd79","year":2014},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:5d96c15a5da136886e5f4b1769c9d488b402d02a1df411c2bb12d675f60909d4","observation_id":"5c29037b-bf09-4f23-b360-a9823e474018","resolution":{"observed_at":"2026-05-27T10:49:02.898268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Biological Cybernetics (1980)","venue":null,"work_id":"583e1894-a177-4d9d-acb1-4ecdb493ae65","year":1980},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:c93d57a3c4f3d8675479af7bc5a8ac67f85c32400264abeca4c1e1d1fe72e8c5","observation_id":"cd29dc95-f7aa-486c-95b1-70b159a12623","resolution":{"observed_at":"2026-05-27T10:49:02.911927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1403.1840","last_updated":"2014-09-08T22:03:21Z","snapshot_observed_at":"2026-08-02T08:30:59.242794Z","submitted_at":"2014-03-07T19:03:15Z","title":"Multi-scale Orderless Pooling of Deep Convolutional Activation Features","version":3},"cited_work":{"arxiv_id":"1403.1840","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1403.1840","snapshot_observed_at":"2026-07-04T19:03:19.789631Z","title":"CoRRabs/1403.1840(2014) 1403.1840","venue":null,"work_id":"fc54cef2-455e-4f78-9018-db553a3fd873","year":2014},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"cited_paper":"/paper/1403.1840","citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:793b70d62f62fa0a91597a608585ba8d3c38c641456af9fa0235bcb4f67b8e2b","observation_id":"88712c1b-aa1f-43fd-b133-ce122fb57a76","resolution":{"observed_at":"2026-07-04T19:03:19.789631Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.01450","last_updated":"2017-12-10T21:05:13Z","snapshot_observed_at":"2026-08-03T08:58:06.699042Z","submitted_at":"2017-12-10T21:05:13Z","title":"Quantifying Translation-Invariance in Convolutional Neural Networks","version":1},"cited_work":{"arxiv_id":"1801.01450","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1801.01450","snapshot_observed_at":"2026-07-04T22:27:27.525276Z","title":"CoRRabs/1801.01450(2018) 1801.01450","venue":null,"work_id":"1b29c30a-7722-4a0e-a27e-cf889a0ec762","year":2018},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"cited_paper":"/paper/1801.01450","citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:0467f764454e995d40f1fea21dd1524a9af87599916570d321e1925585a5df48","observation_id":"a5f5273a-ada4-49d3-b1e5-1a3feedc7f99","resolution":{"observed_at":"2026-07-04T22:27:27.525276Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Advances of Modern Radioelectronics10, 30–45 (2009)","venue":null,"work_id":"916701c3-065b-461f-8aa2-caeccb14f60a","year":2009},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:8a4fbfab23aa893687fb9743ce26cf5ab3aa1b5087c13306d2d522078761e769","observation_id":"e3319954-77d5-4445-9a53-62d63c7225cd","resolution":{"observed_at":"2026-05-27T10:49:02.915007Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1016/j.image.2014.10.009","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Signal Processing: Image Communication30, 57–77 (2015) https://doi.org/10.1016/j.image.2014.10.009","venue":"Signal Processing Image Communication","work_id":"67c64a7c-b99a-43a5-b2cd-442008feff5d","year":2015},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:e81124fbe21506faf24efaec011cf120551c3723e704953d1890cc7d256939c7","observation_id":"730bde83-a882-4cc7-bae2-7d8535ad3f68","resolution":{"observed_at":"2026-05-09T05:15:14.624897Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"In: 2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX), pp","venue":null,"work_id":"12befd39-d6dd-4f59-9eb4-1ea96cdda590","year":2019},"citing_paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-07T05:11:07.875952Z"},"links":{"citing_paper":"/paper/2604.27870"},"observation_digest":"sha256:d356a647504a7b3158438b0112f8ec3973b49709602364632351c82d0b981f7c","observation_id":"7cfd1a51-de75-4c64-8d06-acef313910f9","resolution":{"observed_at":"2026-05-27T10:49:02.887293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.27870","last_updated":"2026-04-30T13:52:42Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:13:15.994987Z","submitted_at":"2026-04-30T13:52:42Z","title":"Parameter-Efficient Architectural Modifications for Translation-Invariant CNNs"},"reference_resolution":{"displayed":28,"state_counts":{"malformed_identifier":2,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":3,"verified_exact":8,"verified_fuzzy":12},"total_outbound_references":28},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2604.27870."}