{"as_of":"2026-08-11T08:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:090c7b225638632b9c5ed400d2c44b26ef4482c91f6092a8cc62758c47a74c1d","coverage":[{"denominator":43,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":43,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T14:42:56.681361Z","state":"measured"},{"denominator":43,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":43,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2509.24863/citation-record","integrity":"/paper/2509.24863/integrity","json":"/paper/2509.24863/citation-record.json","paper":"/paper/2509.24863"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:51.750027Z","title":"On the unreasonable vulnerability of transformers for image restoration-and an easy fix","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:51.750027Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:c83cebf058222c0361a37a78ac9a4319305e982fe5c2036e22e65a346b47d0e3","observation_id":"8f0991bc-1b7c-4290-95dd-994292ae772c","resolution":{"observed_at":"2026-08-04T14:42:51.750027Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07435","last_updated":"2026-06-16T11:18:22Z","snapshot_observed_at":"2026-08-09T00:15:34.775994Z","submitted_at":"2024-06-11T16:42:17Z","title":"Beware of Aliases -- Signal Preservation is Crucial for Robust Image Restoration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07435","snapshot_observed_at":"2026-08-04T14:42:51.915076Z","title":"Beware of aliases–signal preservation is crucial for robust image restoration.arXiv preprint arXiv:2406.07435, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:51.915076Z"},"links":{"cited_paper":"/paper/2406.07435","citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:717046fa53d0f17a4896af639261c05cc479075ec3b8b33093f0977ee87622b7","observation_id":"b570c282-4c5a-4e85-b32d-a630ec250726","resolution":{"observed_at":"2026-08-04T14:42:51.915076Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:52.103688Z","title":"Improving feature stability during upsampling–spectral ar- tifacts and the importance of spatial context","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:52.103688Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:cfc872f3ecd8747ad1b6e669f65397b7a6bfbc17ba82a0344fc3331ed58b5a96","observation_id":"9750248a-1283-4403-a2d8-85a0fb85ffc1","resolution":{"observed_at":"2026-08-04T14:42:52.103688Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:52.289111Z","title":"CosPGD: an efficient white-box adversarial attack for pixel- wise prediction tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:52.289111Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:04253547990665c4be36a0364c7b889750dea6793b115216781cc1860245e8ec","observation_id":"c7f0fda6-1c98-40d9-9612-26f8d349d768","resolution":{"observed_at":"2026-08-04T14:42:52.289111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:52.488204Z","title":"Roll the dice: Monte carlo downsampling as a low-cost adversarial defence, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:52.488204Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:d090af23d3c19721d724f723dcb524608883a9fd55d7ae532470bff016db0e82","observation_id":"f7151eb5-b2c3-4b96-b8f1-3d19a8a31fc2","resolution":{"observed_at":"2026-08-04T14:42:52.488204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:52.600938Z","title":"Flowbench: Benchmarking optical flow estimation methods for reliability and generalization.Transactions on Machine Learning Research, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:52.600938Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:00d44024aa65e9e3003e93325a8c0df3d35afe1890f105e794a642bae2b64336","observation_id":"8b53be7b-36f1-4479-ade8-8c728bfc40b1","resolution":{"observed_at":"2026-08-04T14:42:52.600938Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:52.724873Z","title":"Are synthetic corruptions a reliable proxy for real-world corruptions? In Synthetic Data for Computer Vision Workshop@ CVPR,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:52.724873Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:64ff8100b280ca84d883f4cd6263628d97259d8f22d96ec38698d6115b5ee1b3","observation_id":"a687b719-b5fe-4506-9fc5-f7fbf1a41259","resolution":{"observed_at":"2026-08-04T14:42:52.724873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:52.823320Z","title":"On-off center-surround receptive fields for accurate and robust image classification.Inter- national Conference on Machine Learning, pages 478–489,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:52.823320Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:302a91b66c6a78fb1f8d778389af68136dc4744da6589e467f2475a1f6069955","observation_id":"b5373958-0125-4a75-9c23-864384dc132e","resolution":{"observed_at":"2026-08-04T14:42:52.823320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:52.911542Z","title":"Explaining, fast and slow: Abstraction and refinement of provable explanations","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:52.911542Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:909339815ee9c3312099812dbde2ecc4fe61a89fec4fe2e65733bb5ab09bda9a","observation_id":"a7d9fdaa-0ed4-4237-8c2a-ed2e85aede84","resolution":{"observed_at":"2026-08-04T14:42:52.911542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.025005Z","title":"King, and Kevin W","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.025005Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:49fbbed7c3c85e5f8e80157c7016b6fcd8b98c9cc0b0138dcfeee0b5b6fbce6d","observation_id":"c9c198cd-a4aa-4720-a8a2-c3837cd01042","resolution":{"observed_at":"2026-08-04T14:42:53.025005Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.127293Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.127293Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:0551f01520c61567bfda044141edcc2b8bdf8e04232ab4d42a0c8caa5c8281e8","observation_id":"be881c4e-3a5c-4837-ab32-b4327797c917","resolution":{"observed_at":"2026-08-04T14:42:53.127293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.259785Z","title":"Encoder-decoder with atrous separable convolution for semantic image segmentation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.259785Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:db8f48ded45f06480aaeea29c8fab53ac54bf9fdfb33e31892fde9d226d22f3b","observation_id":"75ce7bf9-34ad-496a-8393-52d6f96163e5","resolution":{"observed_at":"2026-08-04T14:42:53.259785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.352643Z","title":"The cityscapes dataset for semantic urban scene understanding","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.352643Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:ffc27bc4fe2402685513a463c672be0bcb356f25edb20849c7a2bd79ce10a915","observation_id":"1b3f11d6-c431-4712-8199-7452123b37c5","resolution":{"observed_at":"2026-08-04T14:42:53.352643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.490490Z","title":"MIT PRESS, [S.l.], 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.490490Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:f3b621caec95b6ecf2e21e3fc740da14686053ed30fb6f3cdd739c71af841797","observation_id":"b08f2daf-a21d-4eff-8d14-790c4a42770e","resolution":{"observed_at":"2026-08-04T14:42:53.490490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.637490Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.637490Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:6ab24b6573124352f34a7e3815691337ed5cc6709cf6e89b7c89c5a4b3f0794a","observation_id":"67352172-5257-4f42-9353-2ce39cd303e2","resolution":{"observed_at":"2026-08-04T14:42:53.637490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.849564Z","title":"A survey of gaussian convolution algo- rithms.Image Processing On Line, 3:286–310, 2013","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.849564Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:279a7b525bac7175734af44f029c9d2dcc40148aa0175fa58283dc2de7291512","observation_id":"cc0de382-554e-47a5-bbc3-2d12d3aff3c6","resolution":{"observed_at":"2026-08-04T14:42:53.849564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:53.986749Z","title":"Optimizing the color-to-grayscale conversion for image classification.Sig- nal, Image and Video Processing, 10(5):853–860, 2016","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:53.986749Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:c3a07ee0acc7011fe532d600e951aad855dbd79d438e99cacf8f9a2be0215407","observation_id":"0378376d-8062-4bef-82a5-ba776144e38e","resolution":{"observed_at":"2026-08-04T14:42:53.986749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:54.121396Z","title":"Surround modulation: A bio-inspired connectivity structure for convolutional neural networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.121396Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:af4ede020b9c8c9c60bb77f3f07cb91a89b927f1c1083d033d27657a35ddfc0b","observation_id":"764dfb73-3c29-4c3a-8813-b022fcc3d019","resolution":{"observed_at":"2026-08-04T14:42:54.121396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:54.247311Z","title":"Bag of tricks for image classifica- tion with convolutional neural networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.247311Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:71475f826da704618948842289f1ed8b1945c507d76c3ff8da7724a998a6da0b","observation_id":"a5ee513b-6fa3-4338-ba43-0e64b8285218","resolution":{"observed_at":"2026-08-04T14:42:54.247311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.12261","last_updated":"2019-03-28T20:56:37Z","snapshot_observed_at":"2026-08-09T13:36:49.416146Z","submitted_at":"2019-03-28T20:56:37Z","title":"Benchmarking Neural Network Robustness to Common Corruptions and Perturbations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.12261","snapshot_observed_at":"2026-08-04T14:42:54.350468Z","title":"Benchmarking neu- ral network robustness to common corruptions and perturba- tions.arXiv preprint arXiv:1903.12261, 2019","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.350468Z"},"links":{"cited_paper":"/paper/1903.12261","citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:fa798e6608626115fe3739300bb95851eb7036496913c088fb40e6dd2a244076","observation_id":"799e0ad7-c953-4b9d-952a-0edb9b09294d","resolution":{"observed_at":"2026-08-04T14:42:54.350468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:54.493969Z","title":"Towards improving robustness of compressed cnns","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.493969Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:7005d6a1f2b92f8e455f90b3c87626cbeeac571b628855f683c806f39fa5b014","observation_id":"778580c4-519f-4889-9eef-eb5c23cdd65b","resolution":{"observed_at":"2026-08-04T14:42:54.493969Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14165","last_updated":"2023-05-23T15:30:56Z","snapshot_observed_at":"2026-08-03T22:29:48.540311Z","submitted_at":"2023-05-23T15:30:56Z","title":"Impact of Light and Shadow on Robustness of Deep Neural Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14165","snapshot_observed_at":"2026-08-04T14:42:54.603702Z","title":"Impact of light and shadow on robustness of deep neural networks.arXiv preprint arXiv:2305.14165, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.603702Z"},"links":{"cited_paper":"/paper/2305.14165","citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:5696ea55a850d0c68a7d0a94ab4b00e6d8732f18a3979b5a33b680c102ba31cb","observation_id":"319d43df-ee69-4436-86e3-11aed58e30dc","resolution":{"observed_at":"2026-08-04T14:42:54.603702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:54.699709Z","title":null,"venue":null,"work_id":null,"year":1957},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.699709Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:4bd24127d31793c33d9365932c5a870e157035cb08aa43833eb2319377288a6b","observation_id":"67ae6678-f918-4dfa-82d8-75bd3d4b4cd2","resolution":{"observed_at":"2026-08-04T14:42:54.699709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:54.788547Z","title":"Sangjun, Yoonnyun Kim, and Minho Lee","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.788547Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:2ca29ac70f12ee96e8989eca7ce5799500779954e0137915025c96f9224a1ac5","observation_id":"4e0ecbd6-6e9f-4514-952b-f7520d0ec062","resolution":{"observed_at":"2026-08-04T14:42:54.788547Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:54.871025Z","title":"Deep neural networks: A new frame- work for modeling biological vision and brain information processing.Annual review of vision science, 1:417–446,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.871025Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:2d457370883da60c94e27458301bcd7177ca79310c3e37ef0be7b5c982aa851a","observation_id":"320c34fa-ba61-46e4-8659-e0ef7886590f","resolution":{"observed_at":"2026-08-04T14:42:54.871025Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:54.990247Z","title":"Learning methods for generic object recognition with invariance to pose and lighting","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:54.990247Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:61f1b0d09ab57314a6ccf9c93bf6229adf27b588ba42f14165a5fb47a83d9110","observation_id":"009c18a7-c5f3-40b3-8414-8352fbb5f8c2","resolution":{"observed_at":"2026-08-04T14:42:54.990247Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.063717Z","title":"Marr and E","venue":null,"work_id":null,"year":1980},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.063717Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:e961578e8bdb08d91b7bfb73e4adfb8a590d1f01a7e53ea15c30e47ec8307605","observation_id":"d3a40247-443f-45e5-9e84-ae3b9375e0e8","resolution":{"observed_at":"2026-08-04T14:42:55.063717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.175524Z","title":"McCulloch and Walter Pitts","venue":null,"work_id":null,"year":1943},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.175524Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:48fefd7c8a686bb1385a8a42456e89db9d0721814aa0726a849f26231a54f69c","observation_id":"9f2fc58c-e928-4122-ae5f-4d62f2e1de43","resolution":{"observed_at":"2026-08-04T14:42:55.175524Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.07484","last_updated":"2020-03-31T08:42:46Z","snapshot_observed_at":"2026-08-09T14:18:49.037682Z","submitted_at":"2019-07-17T12:51:10Z","title":"Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.07484","snapshot_observed_at":"2026-08-04T14:42:55.291309Z","title":"Benchmarking ro- bustness in object detection: Autonomous driving when win- ter is coming.arXiv preprint arXiv:1907.07484, 2019","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.291309Z"},"links":{"cited_paper":"/paper/1907.07484","citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:ed8d15d1d5582a5016bbd31aa8954b45ad38bdb3404f238d74770383b1fa81a4","observation_id":"0a71bc92-cf40-44df-b7bd-e7e3d77f46b0","resolution":{"observed_at":"2026-08-04T14:42:55.291309Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.372992Z","title":"Mmsegmentation: Open- mmlab semantic segmentation toolbox and benchmark","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.372992Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:a12bf3aeb363a60fe02d2a719d85dd460032a5b5c3cae67560431f29f790a2d9","observation_id":"ed569e55-8e25-45f0-a7d7-1701b787495d","resolution":{"observed_at":"2026-08-04T14:42:55.372992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.493502Z","title":"MIT press, 1999","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.493502Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:45417587000cda733b5385533099ef63482da08cb3526dcbacd6667ea701a66b","observation_id":"0b0528be-9dce-4955-9783-f1b2c34183f5","resolution":{"observed_at":"2026-08-04T14:42:55.493502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.609785Z","title":"Generalizing biological surround suppression based on center surround similarity via deep neural network models.PLoS compu- tational biology, 19(9):e1011486, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.609785Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:898dd50f8a22a52e0f872b6d691fad8531ad2c26d9d7679ef325618065913166","observation_id":"de768bf0-b3c9-4175-9527-e985b2b9f636","resolution":{"observed_at":"2026-08-04T14:42:55.609785Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.717142Z","title":"Classification of plant leaf diseases using deep neural networks in color and grayscale images.Journal of Decision Analytics and Intelligent Computing, 4(1):99– 110, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.717142Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:936b2591d4067eff325a33c8731494247e49eb8779dbab22efd05e98aee9d388","observation_id":"0feb7f4a-2169-41a9-a732-17a6f253c885","resolution":{"observed_at":"2026-08-04T14:42:55.717142Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.863571Z","title":"Guided curriculum model adaptation and uncertainty-aware evalua- tion for semantic nighttime image segmentation","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.863571Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:f3d69465ed5cea1da1513f810ba9f7b9433ca493ba4706ba598d417e959b687e","observation_id":"e51946fe-1aa9-4a25-8698-9325136fc32c","resolution":{"observed_at":"2026-08-04T14:42:55.863571Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:55.957501Z","title":"Acdc: The adverse conditions dataset with correspondences for se- mantic driving scene understanding","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:55.957501Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:a8feb6c0f0b60776ed7f47bf8d4abadc4fd88a804a0ac5cf82c3d2106923b46a","observation_id":"51d5012b-05a2-4d3e-895a-94a2fbe14020","resolution":{"observed_at":"2026-08-04T14:42:55.957501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09368","last_updated":"2026-04-13T11:48:26Z","snapshot_observed_at":"2026-07-31T03:46:07.061706Z","submitted_at":"2025-05-14T13:21:34Z","title":"RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09368","snapshot_observed_at":"2026-08-04T14:42:56.046738Z","title":"Robustspring: Benchmarking robustness to image corrup- tions for optical flow, scene flow and stereo.arXiv preprint arXiv:2505.09368, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.046738Z"},"links":{"cited_paper":"/paper/2505.09368","citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:3455527684809e07513ed2f88aa10f889a156ad731fdccc3b8c928023b4e132b","observation_id":"089cabca-0c55-4790-9b48-b4df647e7914","resolution":{"observed_at":"2026-08-04T14:42:56.046738Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:56.110004Z","title":"Object recogni- tion under lighting variations using pre-trained networks","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.110004Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:c1f7b89ea544c5848abe269845bbc5decd65c9a03b93cb584fa4aa79e4c8bdbf","observation_id":"47553b1c-af0a-411c-80b5-9b26b0be858e","resolution":{"observed_at":"2026-08-04T14:42:56.110004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:56.213004Z","title":"Task driven sensor layouts-joint optimiza- tion of pixel layout and network parameters","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.213004Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:aadb21613e4ed965ee7b0aa45efaeab66843c85530540a4c106fea6737a714b5","observation_id":"4d1aba21-ac04-4343-8210-429cc5e549c2","resolution":{"observed_at":"2026-08-04T14:42:56.213004Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:56.303436Z","title":"Thoreson and Dennis M","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.303436Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:00a36a608829154fa2062149b7e3b48d867f23d636242802883ce2a031233e05","observation_id":"65fa231e-d071-4759-939e-b0b0a211c855","resolution":{"observed_at":"2026-08-04T14:42:56.303436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:56.399750Z","title":"Bio-inspired presentation attack detec- tion for face biometrics.Frontiers in computational neuro- science, 13:34, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.399750Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:c79c0c81019112472dbe3be4aa46a699690eea30b61f02dca1b202c551416d2d","observation_id":"107da73f-edfd-4926-a475-fd7ddcb3301c","resolution":{"observed_at":"2026-08-04T14:42:56.399750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:56.461347Z","title":"Internim- age: Exploring large-scale vision foundation models with deformable convolutions","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.461347Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:540cc43e48cd4baac22b0b706616848efc960d3bda47441273605d6b9832d478","observation_id":"0b4969e6-7557-4935-807d-03ba5d976439","resolution":{"observed_at":"2026-08-04T14:42:56.461347Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:56.570942Z","title":"Alvarez, and Ping Luo","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.570942Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:0c23ef4c6c0f066b57d6e6090cd032e2d7f630eca30a31fbb890910cc13e45a7","observation_id":"f9e0a0d1-f23b-41f8-9164-463239ffa0ce","resolution":{"observed_at":"2026-08-04T14:42:56.570942Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T14:42:56.681361Z","title":"Chan- nels","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-04T14:42:56.681361Z"},"links":{"citing_paper":"/paper/2509.24863"},"observation_digest":"sha256:a0c71a2ee7a12f0deed888335c1016a3b56fb130990eaae8af200fb259bfb0df","observation_id":"eaef866a-b36d-49a4-a5b9-a640f5f17b15","resolution":{"observed_at":"2026-08-04T14:42:56.681361Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.24863","last_updated":"2026-07-14T12:17:29Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T17:25:56.715035Z","submitted_at":"2025-09-29T14:48:32Z","title":"Improved Robustness from Biologically Inspired Sparse Contrast Representations"},"reference_resolution":{"displayed":43,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":42,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":43},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.24863."}