{"as_of":"2026-08-23T00:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34f15f0c7f49e6b2871bb8174c558a8190ec64f38b258feedbeb34239e333974","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T04:16:29.993180Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2608.06252/citation-record","integrity":"/paper/2608.06252/integrity","json":"/paper/2608.06252/citation-record.json","paper":"/paper/2608.06252"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T04:16:29.697472Z","title":"Sanity checks for saliency maps, in: Advances in Neural Information Processing Systems (NeurIPS), pp","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.697472Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:754987b004397190cbad8657a0bbd6f7ce369ecf8de47058a39c6cabd14e12fe","observation_id":"a958387d-2baa-4e25-a3cb-c80afcb4c2e1","resolution":{"observed_at":"2026-08-11T04:16:29.697472Z","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":"2026-08-11T04:16:29.703108Z","title":"RSBdSL38-v1","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.703108Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:25dea7188836bad05b2625dadbd4e49cd5d28c19b97f2be535f4dea6b8a2d1de","observation_id":"2782a4a3-09a0-474a-8c74-c881cafdea1d","resolution":{"observed_at":"2026-08-11T04:16:29.703108Z","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":"2026-08-11T04:16:29.708521Z","title":"Deep learning for sign language recognition: Current techniques, benchmarks, and open issues","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.708521Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:797dfec50ea0db6e970dec56c26d4de947ba426f854b4a83cd9299c5efc4be24","observation_id":"622e2195-d15f-4c97-9e4f-fd474fd561d7","resolution":{"observed_at":"2026-08-11T04:16:29.708521Z","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":"2026-08-11T04:16:29.713893Z","title":"Two dimensional convolutional neural network approach for real-time bangla sign language characters recognition and translation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.713893Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:601bc8d20e8fa94e015affed7971cbf39cc85499135d1e5f2ad211b2f67c9feb","observation_id":"8cc386a8-c9f9-4e2c-91ae-ed79c5b9942d","resolution":{"observed_at":"2026-08-11T04:16:29.713893Z","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":"2026-08-11T04:16:29.720714Z","title":"Recognition of bangla sign language characters and digits using cnn, in: 2022 International Conference on Innovations in Science, Engineering and Technology (ICISET), IEEE","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.720714Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:46857f6817769d7a984ce43993a7e55148341f7269f8c04fbe5e5f27c112e1b9","observation_id":"d10ff238-e630-46c8-b468-a58b237611f0","resolution":{"observed_at":"2026-08-11T04:16:29.720714Z","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":"2026-08-11T04:16:29.733521Z","title":"Grad-cam++: Generalized gradient-based visual explanations for deep convolutional networks, in: IEEE Winter Conference on Applications of Computer Vision (W ACV), IEEE","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.733521Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:9938839f1eba1d995aac062a06cca2348cc876609078f993d92c5425f47bf983","observation_id":"d4e6eb9c-07cf-4995-9748-ea365367f298","resolution":{"observed_at":"2026-08-11T04:16:29.733521Z","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":"2026-08-11T04:16:29.738987Z","title":"Xception: Deep learning with depthwise separable convolutions, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.738987Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:785f7cff0d5b577ca032e675de5b445ddf682f36c93734c51fafd5fc219caa72","observation_id":"e19f2830-0cfb-4f3c-93a0-047b810e31d6","resolution":{"observed_at":"2026-08-11T04:16:29.738987Z","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":"2026-08-11T04:16:29.743409Z","title":"A hybrid approach for bangla sign language recognition using deep transfer learning model with random forest classifier","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.743409Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:c78659af3df7815c4d98490a168bec42cfd7b37f13851da2ed27bb66dda4fcf7","observation_id":"16325e40-207f-447a-b2b0-70e411cd1744","resolution":{"observed_at":"2026-08-11T04:16:29.743409Z","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":"2026-08-11T04:16:29.749468Z","title":"Imagenet: A large-scale hierarchical image database, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.749468Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:9e656c7698d577abd0da4c6af92d3bface6e2bab5011e15e1ec5c9eb6d75f9c7","observation_id":"1490d7a7-7117-49de-8538-1d7fa4a158a1","resolution":{"observed_at":"2026-08-11T04:16:29.749468Z","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":"2026-08-11T04:16:29.755177Z","title":"Explainable federated learning for privacy-preserving bangla sign language detection","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.755177Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:a481f30af9cba379a315d75880530e1864bb6d7d920c1cee81cc2c8c9ad40b2b","observation_id":"70457036-ebf0-4c2e-8aae-c9602b4846e2","resolution":{"observed_at":"2026-08-11T04:16:29.755177Z","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":"2026-08-11T04:16:29.759247Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.759247Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:575f400187386b1520f108abf0dbfcc00bbd34640bc34e3738596582bd50c44a","observation_id":"30efc24b-dc54-4a62-bbce-075e0b019acd","resolution":{"observed_at":"2026-08-11T04:16:29.759247Z","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":"2026-08-11T04:16:29.764679Z","title":"Baust lipi: A bdsl dataset with deep learning based bangla sign language recognition, in: Proceedings of the 3rd International Conference on Computing Advancements, pp","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.764679Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:040aaae9cd7de87f7128b73c51b7d8a4e58e49572dccbd42603fb3f1fbcfe31c","observation_id":"60159ae7-e402-40d0-b349-64df3d5a2ef0","resolution":{"observed_at":"2026-08-11T04:16:29.764679Z","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":"2026-08-11T04:16:29.769677Z","title":"Recognition of bangladeshi sign language (bdsl) words using deep convolutional neural networks (dcnns)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.769677Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:7443008a2ac4244517c8dad380b394aaf80d1ec3c6ebbe13b65104016c221e39","observation_id":"5f6482fd-24d1-43ef-bfd5-24852d85ecbb","resolution":{"observed_at":"2026-08-11T04:16:29.769677Z","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":"2026-08-11T04:16:29.776405Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.776405Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:98621885ffe747393c6584c6ca861c454ab155067126c42a33f7d342aa9b4e77","observation_id":"b9f66195-9907-4f17-98d0-0ed501507012","resolution":{"observed_at":"2026-08-11T04:16:29.776405Z","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":"2026-08-11T04:16:29.781278Z","title":"Bdsl 49: A comprehensive dataset of bangla sign language","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.781278Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:45c029d7d5b1f07858c307a073673c8507d34b6cd1a35cdf4f2558015c0aee6c","observation_id":"9196ea49-19c4-487f-b634-bb7b6c37802c","resolution":{"observed_at":"2026-08-11T04:16:29.781278Z","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":"2026-08-11T04:16:29.785870Z","title":"Deep residual learning for image recognition, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.785870Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:2b9a474ed116d24b7ce223f6684fa8f112a0091e0934bf3da3c3cf6fce0c3157","observation_id":"6960b4df-6102-4e7a-b471-4caec3f64254","resolution":{"observed_at":"2026-08-11T04:16:29.785870Z","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":"2026-08-11T04:16:29.790679Z","title":"Bdsl36: A dataset for bangladeshi sign letters recognition, in: Proceedings of the Asian Conference on Computer Vision (ACCV) Workshops","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.790679Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:28369b49222f41c63e5deb2dfbefbaf4a2cf5777a9f1f75d3ffd5fd82c4758f0","observation_id":"0a98a701-2159-4039-bd0e-a158f627a8e8","resolution":{"observed_at":"2026-08-11T04:16:29.790679Z","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":"2026-08-11T04:16:29.795280Z","title":"Squeeze-and-excitation networks, in: Proceedings of the IEEE Confer- ence on Computer Vision and Pattern Recognition (CVPR), pp","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.795280Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:d964ae6e16fee6e451467368edfb79a55a758c27ae81d21396548ea50b071780","observation_id":"9a34e743-228c-48f7-bdf7-1d9e69f2c840","resolution":{"observed_at":"2026-08-11T04:16:29.795280Z","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":"2026-08-11T04:16:29.800384Z","title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift, in: International Conference on Machine Learning (ICML), pp","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.800384Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:69df65899832363586dcf7b55c2b104edb0899f5e41ee5008f72f7a5311f75ee","observation_id":"d0d0281a-0100-4bec-901a-d6060e990f30","resolution":{"observed_at":"2026-08-11T04:16:29.800384Z","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":"2026-08-11T04:16:29.805657Z","title":"Sign language recognition for bangla alphabets using deep learning methods, in: 2022 4th International Conference on Sustainable Technologies for Industry 4.0 (STI), IEEE","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.805657Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:ffb5e4e793aae04b2ca3b52bf76b048aac3940259cf9804d667acddf46c7801f","observation_id":"d078f38d-80aa-4fd0-8e78-5ab85641dd88","resolution":{"observed_at":"2026-08-11T04:16:29.805657Z","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":"2026-08-11T04:16:29.811311Z","title":"Ku-bdsl: An open dataset for bengali sign language recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.811311Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:0e188fe4d1ae51a298b3f51f8e535cd7a6c83f99882b726e7a396987d03a7bcf","observation_id":"2c458db0-df3e-463d-97a0-5bd53ca6c402","resolution":{"observed_at":"2026-08-11T04:16:29.811311Z","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":"2026-08-11T04:16:29.816620Z","title":"Combining state-of-the-art pre-trained deep learning models: A novel approach for bangla sign language recognition using max voting ensemble","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.816620Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:31be6bc9444e0507026a1547fca092e1d28a3e2505e964d57a9d5a953b36a3db","observation_id":"5764859d-22ef-4460-8f9a-46677fb6a29a","resolution":{"observed_at":"2026-08-11T04:16:29.816620Z","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":"2026-08-11T04:16:29.821472Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.821472Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:2a0accdce606547900d6bacdbe2d071f6049f6f3fc3c79c1554d1eb54568f73a","observation_id":"608be17a-69b7-4680-8167-f074f22a75bc","resolution":{"observed_at":"2026-08-11T04:16:29.821472Z","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":"2026-08-11T04:16:29.826018Z","title":"Imagenet classification with deep convolutional neural networks","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.826018Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:4b093611669dc3720155c33870fbac6e82a67b855d154578327e2fff85ed925b","observation_id":"397747ce-3b91-4bf2-a044-c363a798ea53","resolution":{"observed_at":"2026-08-11T04:16:29.826018Z","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":"2026-08-11T04:16:29.830564Z","title":"Rethink- ing vision transformers for mobilenet size and speed, in: Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), pp","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.830564Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:c58baa76f9e93b1e4a5302da60eda66cce893b3e625145a10d7fa966d01770a5","observation_id":"43b53df8-127a-48ef-8206-a8f7bcde07ea","resolution":{"observed_at":"2026-08-11T04:16:29.830564Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-11T04:16:29.837492Z","title":"Decoupled weight decay regularization, in: International Conference on Learning Representations (ICLR)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.837492Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:dedaa0e0fcc40f65060bd999500d88099a6dde4e05d25c52f5d8b2926ffd43e3","observation_id":"165bc5ab-915b-4334-9824-777139dbd563","resolution":{"observed_at":"2026-08-11T04:16:29.837492Z","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":"2026-08-11T04:16:29.842605Z","title":"A unified approach to interpreting model predictions","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.842605Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:4ea5037cca0bc9e3828916ad1f265b02a5d28ab79b366613a934cdf1a5ecd254","observation_id":"5c52031e-e6ba-4f93-ac39-a558ea61bb09","resolution":{"observed_at":"2026-08-11T04:16:29.842605Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.02178","last_updated":"2022-03-04T17:17:31Z","snapshot_observed_at":"2026-08-17T03:16:02.000706Z","submitted_at":"2021-10-05T17:07:53Z","title":"MobileViT: Light-weight, General-purpose, and Mobile-friendly Vision Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.02178","snapshot_observed_at":"2026-08-11T04:16:29.847555Z","title":"Mobilevit: Light-weight, general-purpose, and mobile-friendly vision transformer, in: International Conference on Learning Representations (ICLR)","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.847555Z"},"links":{"cited_paper":"/paper/2110.02178","citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:35955ad27a467af1a4b57736b723547e3fe089dc324a5fb8d467f9c4be2673e8","observation_id":"9bb7f51d-9934-4954-932b-c43243fb9acb","resolution":{"observed_at":"2026-08-11T04:16:29.847555Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.02680","last_updated":"2022-06-06T15:31:35Z","snapshot_observed_at":"2026-08-20T18:43:05.336711Z","submitted_at":"2022-06-06T15:31:35Z","title":"Separable Self-attention for Mobile Vision Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.02680","snapshot_observed_at":"2026-08-11T04:16:29.852377Z","title":"Separable self-attention for mobile vision transformers","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.852377Z"},"links":{"cited_paper":"/paper/2206.02680","citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:4b126ab37dab014fb8e41601783e4114da0d3dd225e741c3cf159f16b9e62fc8","observation_id":"5d88534d-dd90-416d-9120-e4de9a31d169","resolution":{"observed_at":"2026-08-11T04:16:29.852377Z","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":"2026-08-11T04:16:29.857578Z","title":"Bangla sign alphabet recognition with zero-shot and transfer learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.857578Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:77a67157c6218b46e4ef570285d008c9c1f17e0e30baf6472fd2fd40466d9e33","observation_id":"5aaa754e-e48f-48eb-9d8d-efa4d18d90f1","resolution":{"observed_at":"2026-08-11T04:16:29.857578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-17T13:03:40.359628Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-11T04:16:29.863695Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.863695Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:74e2d181af9c0d5778de1184793ee2706f0ab1c845ff37ae1e7de11cf37006c4","observation_id":"0747aaf5-9e4f-43fc-afb0-0d4cbc39b324","resolution":{"observed_at":"2026-08-11T04:16:29.863695Z","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":"2026-08-11T04:16:29.868955Z","title":"Deafness and hearing loss","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.868955Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:79a27d3a87bab25bbcb44b652e7f2e39c4b98bd3471aa2996d96630cc29f188e","observation_id":"703b9c8c-3958-4da1-aaca-e28fd8c0e7b3","resolution":{"observed_at":"2026-08-11T04:16:29.868955Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.07421","last_updated":"2018-09-25T18:16:18Z","snapshot_observed_at":"2026-08-16T23:44:59.708767Z","submitted_at":"2018-06-19T18:41:30Z","title":"RISE: Randomized Input Sampling for Explanation of Black-box Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.07421","snapshot_observed_at":"2026-08-11T04:16:29.873821Z","title":"Rise: Randomized input sampling for explanation of black-box models, in: British Machine Vision Conference (BMVC)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.873821Z"},"links":{"cited_paper":"/paper/1806.07421","citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:65dddc2452202b37f887a83ae80d67c86cf25f5c34f309d4ba6c238a1278bef8","observation_id":"9e025236-328f-4c98-96e3-5b6fc63f77d0","resolution":{"observed_at":"2026-08-11T04:16:29.873821Z","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":"2026-08-11T04:16:29.878598Z","title":"Bangla sign language (bdsl) alphabets and numerals classification using a deep learning model","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.878598Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:f9e76784f308de3894315be9eeedf8c6cdf8a5d75c953205f221adc2e481259f","observation_id":"9774be38-5092-4e34-8ec2-23b477f31bdc","resolution":{"observed_at":"2026-08-11T04:16:29.878598Z","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":"2026-08-11T04:16:29.884196Z","title":"Mobilenetv4: Universal models for the mobile ecosystem, in: European Conference on Computer Vision (ECCV), pp","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.884196Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:320ec3a556420cdce265147da87465f84fca7645dc1f914ef7bbac13c4370da6","observation_id":"5d8da9b9-510a-4447-b177-5bc9aec7d714","resolution":{"observed_at":"2026-08-11T04:16:29.884196Z","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":"2026-08-11T04:16:29.890237Z","title":"Bengali-sign: A machine learning-based bengali sign language interpretation for deaf and non-verbal people","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.890237Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:7e21653389f24d6efb2a9290c5b13f091476fb0b78441724deb90cf30e011c90","observation_id":"896fac48-fc27-40ae-bfe3-56664a6392a8","resolution":{"observed_at":"2026-08-11T04:16:29.890237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.05941","last_updated":"2017-10-27T17:45:21Z","snapshot_observed_at":"2026-08-08T18:23:31.977872Z","submitted_at":"2017-10-16T18:05:45Z","title":"Searching for Activation Functions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.05941","snapshot_observed_at":"2026-08-11T04:16:29.897552Z","title":"Searching for activation functions","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.897552Z"},"links":{"cited_paper":"/paper/1710.05941","citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:3c437f820094e0ba50c0cc6db3af116a63d6ff1692b008c1152ccce45ef08024","observation_id":"9f294ed6-2933-431c-a06e-1b994dfc0e01","resolution":{"observed_at":"2026-08-11T04:16:29.897552Z","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":"2026-08-11T04:16:29.902983Z","title":"Sign language recognition: A deep survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.902983Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:f809fa9fe3117b56e46d490237218f39a515470b73c555a65faed734b9dc1153","observation_id":"452e506c-4680-4bb7-9aa5-5022d933182d","resolution":{"observed_at":"2026-08-11T04:16:29.902983Z","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":"2026-08-11T04:16:29.908438Z","title":"Bdsl47: A complete depth-based bangla sign alphabet and digit dataset","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.908438Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:4a63c7306220c5f8cc426016b1724f2d7012b55818893606fc0a509b101916e8","observation_id":"ad730d3e-3231-4839-96b1-93bf2477eb1f","resolution":{"observed_at":"2026-08-11T04:16:29.908438Z","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":"2026-08-11T04:16:29.912971Z","title":"Sign language: a systematic review on classification and recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.912971Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:e65b603f5a6eac3ad4e3978b525164f26f4a57265934d0482315bf0ecd8465e6","observation_id":"986ec8e0-193a-4668-922b-4e1e767f18f5","resolution":{"observed_at":"2026-08-11T04:16:29.912971Z","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":"2026-08-11T04:16:29.917674Z","title":"Grad-cam: Visual explanations from deep networks via gradient-based localization, in: Proceedings of the IEEE Interna- tional Conference on Computer Vision (ICCV), pp","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.917674Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:47eee505db9d7a005cea386aed48337835806dbb9cf6f4c151a56ae6e00c1ee3","observation_id":"ec3e27e0-5b36-4bc5-a739-dbbcf7ade725","resolution":{"observed_at":"2026-08-11T04:16:29.917674Z","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":"2026-08-11T04:16:29.922334Z","title":"Multimodal ensemble approach leveraging spatial, skeletal, and edge features for enhanced bangla sign language recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.922334Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:85cd3e785229aeff94ffe53ff629af42d9acbf845c7359249dbfc09cf5755d2f","observation_id":"ebf1f8f5-9ca3-45c7-925e-ab56ffb6e5e0","resolution":{"observed_at":"2026-08-11T04:16:29.922334Z","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":"2026-08-11T04:16:29.927434Z","title":"Deep learning-based bangla sign language detection with an edge device","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.927434Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:1c975ce6949c61611e9bc1157a87ff6bd36798e39ca842642c532c87ce30d231","observation_id":"39ce7e33-1924-4782-b612-dbf8170756d2","resolution":{"observed_at":"2026-08-11T04:16:29.927434Z","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":"2026-08-11T04:16:29.932227Z","title":"Real-time bangla sign language recognition using transfer learn- ing model, in: 2024 International Conference on Innovations in Science, Engineering and Technology (ICISET), IEEE","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.932227Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:f440dc6decca12aa86f7735205518701830e482d1c87e9751f5d5f5426a7f03f","observation_id":"d48254b2-95c4-4027-b84c-a160f213a4f2","resolution":{"observed_at":"2026-08-11T04:16:29.932227Z","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":"2026-08-11T04:16:29.937268Z","title":"Dropout: A simple way to prevent neural networks from overfitting","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.937268Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:de5e31009c4cd9a500b7ffc0dd2b2936d5145b2060c987d37c8f2c07ce881120","observation_id":"10d907c1-7863-4748-84f9-bcbefbf7dd14","resolution":{"observed_at":"2026-08-11T04:16:29.937268Z","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":"2026-08-11T04:16:29.941724Z","title":"On the importance of initialization and momen- tum in deep learning, in: International Conference on Machine Learning (ICML), pp","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.941724Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:6f3cb79562cccfd13f24cf543eb92d91e03ec04311ea3f2759fd98c5e7747923","observation_id":"6a9d979c-84a1-4b8b-9be1-51e7082f8d42","resolution":{"observed_at":"2026-08-11T04:16:29.941724Z","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":"2026-08-11T04:16:29.946659Z","title":"The linguistics of British Sign Language: an introduction","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.946659Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:fa78b7d247b92c77d0663f6b71cf12177dfaa006b10c267d7f2800d898c25de6","observation_id":"add83965-85dd-4e69-83f3-a874ff103233","resolution":{"observed_at":"2026-08-11T04:16:29.946659Z","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":"2026-08-11T04:16:29.950567Z","title":"Eﬀicientnetv2: Smaller models and faster training, in: International Conference on Machine Learning (ICML), pp","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.950567Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:21112ada6c64d695f3537d7222aaeaff3dd2d78d8f7cacea5665fa9a1f260c7c","observation_id":"e35c2cf6-6031-4a63-b7b7-b0fe82928858","resolution":{"observed_at":"2026-08-11T04:16:29.950567Z","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":"2026-08-11T04:16:29.955191Z","title":"Ghostnetv2: Enhance cheap operation with long-range attention","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.955191Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:cceed0839f1512d796d86ebb58a8a783f4dcb00188a5872341c26b663321cf79","observation_id":"7ba7408a-fc79-4877-9911-9cdf6ec7f859","resolution":{"observed_at":"2026-08-11T04:16:29.955191Z","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":"2026-08-11T04:16:29.959689Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.959689Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:d677010040af5860e2ae7e25c221a749c038f547f51c329fe770c9b082cac307","observation_id":"28a25c83-c0e5-454c-8676-45d38bee461b","resolution":{"observed_at":"2026-08-11T04:16:29.959689Z","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":"2026-08-11T04:16:29.965262Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.965262Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:89444f514be6fc3dd0ab1ce8df9ecd0cfa324dd74d9e00419b673c62943f9d2f","observation_id":"8f6ab698-ab4e-41c5-802e-8c08fdb8a5d4","resolution":{"observed_at":"2026-08-11T04:16:29.965262Z","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":"2026-08-11T04:16:29.969338Z","title":"Disabling hearing impairment in the bangladeshi population","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.969338Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:38aba113ddc9ef03393ade5bf9671a705de008baac5cbf7cc9c0c10ce66f9f2a","observation_id":"8592e1ac-067c-4b9a-8d2a-7c92eb43435a","resolution":{"observed_at":"2026-08-11T04:16:29.969338Z","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":"2026-08-11T04:16:29.973788Z","title":"A vision transformer-based fine-tuned dinov2 model for bangla sign language recognition","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.973788Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:7ca70fa308a810b53a92c6cc8328244a49838dce876ba21d087e7e1cad5de806","observation_id":"92d6f459-9188-4dc7-a03f-02095aad6897","resolution":{"observed_at":"2026-08-11T04:16:29.973788Z","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":"2026-08-11T04:16:29.978767Z","title":"Eﬀicient object localization using convolutional networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.978767Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:b7941a03e70ef81eaa4f99c769845341ca560c8ec375eafc1fa767205ad1b854","observation_id":"7b104dd4-4c22-4a99-843f-a8a1d59aa376","resolution":{"observed_at":"2026-08-11T04:16:29.978767Z","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":"2026-08-11T04:16:29.983204Z","title":"Linguistics of American sign language: An introduction","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.983204Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:34251b474e95ac44e0f10870387b796702ae9dc6eff3774db2981788ca265771","observation_id":"9251238e-c4c8-4765-a06d-fe23e63751aa","resolution":{"observed_at":"2026-08-11T04:16:29.983204Z","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":"2026-08-11T04:16:29.988339Z","title":"Cbam: Convolutional block attention module, in: Proceedings of the European Conference on Computer Vision (ECCV), pp","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.988339Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:5aaf61d9c98cf3b1dcd664b6937991f4c6461051d3994ee6e89afd94a0b6e4ef","observation_id":"ee9b399c-0aa3-4442-a182-55862ce352e1","resolution":{"observed_at":"2026-08-11T04:16:29.988339Z","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":"2026-08-11T04:16:29.993180Z","title":"Aggregated residual transformations for deep neural networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T04:16:29.993180Z"},"links":{"citing_paper":"/paper/2608.06252"},"observation_digest":"sha256:b1ade422398ade0a0ea279ce4f24425a85cc0d6dfbff1070318bccaea86b638d","observation_id":"c90a3217-7a11-41f8-b056-c63fbd342c2e","resolution":{"observed_at":"2026-08-11T04:16:29.993180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.06252","last_updated":"2026-08-10T15:38:17Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T23:46:47.095775Z","submitted_at":"2026-08-06T16:41:22Z","title":"Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":57,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":57},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2608.06252."}