{"as_of":"2026-08-07T23:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4f2867a24f01225968fc6911aa98d65969bc9e09eedfc0bf5da987c24358a38f","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:53:46.962304Z","state":"measured"},{"denominator":46,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":46,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2505.20836/citation-record","integrity":"/paper/2505.20836/integrity","json":"/paper/2505.20836/citation-record.json","paper":"/paper/2505.20836"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:50.547712Z","title":"A sequence-based global map of regulatory activity for deciphering human genetics.Nature genetics, 54(7):940–949, 2022","venue":null,"work_id":"b64984ef-4c1e-497a-b7db-866536838514","year":2022},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.435729Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:2f2ad2698654bf96ede96d3758b757a14c4c4da772e9bff009f05c63973ab220","observation_id":"9d5d8299-25da-4e08-acb8-9b1a4662ef11","resolution":{"observed_at":"2026-08-07T13:53:50.616706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:50.391600Z","title":"Artificial intelligence-guided strategies for next-generation biological sequence design.National Science Review, 11(11):nwae343, 2024","venue":null,"work_id":"b955b6ec-f3f0-4fd1-a2e1-890e98045305","year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.539661Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:68ed65581dfae69e6bdb470b6fe30a7052fa7f9720abd96e5487278ec143d31f","observation_id":"4f9b8caf-0a94-47e7-8437-99bd66c2e812","resolution":{"observed_at":"2026-08-07T13:53:50.459071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:40.617069Z","title":"Dnabert: pre-trained bidirectional encoder representations from transformers model for dna-language in genome.Bioinformatics, 37(15):2112–2120, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.617069Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:f4aa5539ebf8243a16e2d9bdb9a5f0212d89524fea224e7505be6c12556080ad","observation_id":"23d5bf8b-6367-4ddc-97f6-1214de94ff09","resolution":{"observed_at":"2026-08-07T13:53:40.617069Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.15006","last_updated":"2024-03-18T23:59:29Z","snapshot_observed_at":"2026-08-07T22:04:21.077733Z","submitted_at":"2023-06-26T18:43:46Z","title":"DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.15006","snapshot_observed_at":"2026-08-07T13:53:40.729297Z","title":"Dnabert-2: Efficient foundation model and benchmark for multi-species genome.arXiv preprint arXiv:2306.15006, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.729297Z"},"links":{"cited_paper":"/paper/2306.15006","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:ed68e1769d1f6aa85c80c037bcb6957aa8c6a5d14f86846095b57ced866a4853","observation_id":"23d35700-a73e-4104-8252-f38eb3b3bf17","resolution":{"observed_at":"2026-08-07T13:53:40.729297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:50.234944Z","title":"Nucleotide transformer: building and evaluating robust foundation models for human genomics","venue":null,"work_id":"e0374b0d-fc4c-425f-8c05-ad65c2c2d18f","year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.824748Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:cf326abff2e50fbd9d89002c6e614cc963f6352697b2f2fa99b6603b3d091cda","observation_id":"80b95b1b-6262-4596-9f92-b91f34903f1b","resolution":{"observed_at":"2026-08-07T13:53:50.293370Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:50.075710Z","title":"Hyenadna: Long-range genomic sequence modeling at single nucleotide resolution.Advances in neural information processing systems, 36:43177–43201, 2023","venue":null,"work_id":"4ea9cadf-1a4d-41b3-aae1-ad64d6aff504","year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:40.912545Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:f25e229d0bff87e3b89e6f88a70955b8064c95cab4760d0fcd32462ada2bdc55","observation_id":"efa0cb38-4a45-4925-adb5-91b1bf76f500","resolution":{"observed_at":"2026-08-07T13:53:50.144203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03234","last_updated":"2024-06-05T21:02:37Z","snapshot_observed_at":"2026-07-06T17:40:01.975792Z","submitted_at":"2024-03-05T01:42:51Z","title":"Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03234","snapshot_observed_at":"2026-08-07T13:53:41.065057Z","title":"Caduceus: Bi-directional equivariant long-range dna sequence modeling.arXiv preprint arXiv:2403.03234, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.065057Z"},"links":{"cited_paper":"/paper/2403.03234","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:bca5489bc448e10260e709be919af7836411fcb8d6a2b9421ae3bc5a1fcdcb95","observation_id":"a2b3ff30-67be-4237-b12d-693f7afd5f84","resolution":{"observed_at":"2026-08-07T13:53:41.065057Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.881249Z","title":null,"venue":null,"work_id":"954bc7da-3952-4cd1-b8c9-65b379604c88","year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.181906Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:caa9b220aaaf1fbffc582e6dd3c5b54e7fc4bbbd09b014cab758ca1956253500","observation_id":"efdf888f-b8e3-4ec3-9d9c-73061b260054","resolution":{"observed_at":"2026-08-07T13:53:49.974467Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.711215Z","title":"Predicting rna-seq coverage from dna sequence as a unifying model of gene regulation.Nature Genetics, pages 1–13, 2025","venue":null,"work_id":"34c11222-c38c-4f41-b7cc-d9fd0df2f8e8","year":2025},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.328668Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:69d2772274db55cf258c5cce109116e7aa6b6c4c8e51e614f08462f382944573","observation_id":"a5c0ba5c-857c-4bb3-a072-9da3e9a6e7ef","resolution":{"observed_at":"2026-08-07T13:53:49.806181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06604","last_updated":"2025-05-16T03:43:21Z","snapshot_observed_at":"2026-08-05T04:17:33.532005Z","submitted_at":"2025-02-10T16:01:55Z","title":"Do we really have to filter out random noise in pre-training data for language models?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06604","snapshot_observed_at":"2026-08-07T13:53:41.436077Z","title":"Do we really have to filter out random noise in pre-training data for language models?arXiv preprint arXiv:2502.06604, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.436077Z"},"links":{"cited_paper":"/paper/2502.06604","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:1e20f9c0b8318a473ca1cd97a82bb1076555d8fa0bb87050070686e4fecdb995","observation_id":"0386a878-954f-4cf9-93d5-6959bef397b7","resolution":{"observed_at":"2026-08-07T13:53:41.436077Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.567091Z","title":"Genomic language models could transform medicine but not yet.npj Digital Medicine, 8(1):212, 2025","venue":null,"work_id":"5a97425e-5269-4caf-b0f9-afa9eb566542","year":2025},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.609444Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:284226499e344a6039cf2582248d69d4c7ba3123247af32097790dfa869a7ee6","observation_id":"dbaf88b1-9f76-4309-9d8c-307904d44fce","resolution":{"observed_at":"2026-08-07T13:53:49.619596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06464","last_updated":"2025-03-06T06:57:34Z","snapshot_observed_at":"2026-08-03T00:27:18.402796Z","submitted_at":"2024-12-09T13:09:04Z","title":"Gated Delta Networks: Improving Mamba2 with Delta Rule","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06464","snapshot_observed_at":"2026-08-07T13:53:41.725071Z","title":"Gated delta networks: Improving mamba2 with delta rule","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.725071Z"},"links":{"cited_paper":"/paper/2412.06464","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:8785078d2cd1fcd9dfc610aa77d77dd324770e097739d5d03d54b55901bbf91e","observation_id":"df3bd301-801c-4399-bc1f-359bdf41cec0","resolution":{"observed_at":"2026-08-07T13:53:41.725071Z","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":"2026-08-07T13:53:41.849040Z","title":"Fu, Stefano Ermon, Atri Rudra, and Christopher Ré","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.849040Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:a426e982be3bc61b8b8b2a569e459cc80824c2ea4c779c2806aafe05fb957d9c","observation_id":"0f5aac4f-16fb-4efc-bf71-ac88f02f2d32","resolution":{"observed_at":"2026-08-07T13:53:41.849040Z","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":"2026-08-07T13:53:41.985338Z","title":"FlashAttention-2: Faster attention with better parallelism and work partitioning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:41.985338Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:82c5da3271c2bb23df1270f0f53fb2ce08ce6cb54b5312706d2deffb8e7fe231","observation_id":"cfa26fd2-c47e-4ac2-8d7f-4c5ee3922707","resolution":{"observed_at":"2026-08-07T13:53:41.985338Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07635","last_updated":"2025-03-11T09:17:02Z","snapshot_observed_at":"2026-08-04T20:59:38.405014Z","submitted_at":"2024-11-12T08:30:59Z","title":"Breaking the Low-Rank Dilemma of Linear Attention","version":5},"cited_work":{"arxiv_id":"2411.07635","doi":null,"metadata_source":"pith","pith_arxiv_id":"2411.07635","snapshot_observed_at":"2026-08-07T13:53:47.854230Z","title":"Breaking the Low-Rank Dilemma of Linear Attention","venue":"cs.CV","work_id":"4a76f4d0-79c2-4d9f-b134-78446a84436b","year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:42.126565Z"},"links":{"cited_paper":"/paper/2411.07635","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:33c8762aecaaa8eb4a5ccc538a007786bc2e2f344cf98c105844f357b1db9f94","observation_id":"b73e50e4-343c-40fa-9ae8-f6c277297434","resolution":{"observed_at":"2026-08-07T13:53:47.932366Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.390263Z","title":"RMT: retentive networks meet vision transformers","venue":null,"work_id":"63a3f53a-0c58-40cc-8c03-8aaa4fea5844","year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:42.344437Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:d49c9564c54de010b5470837ed12ef43058c7d7f056fe08a6a3e8408fb4498d7","observation_id":"ccaaa6b4-3d27-43f5-a5ba-444c6474c541","resolution":{"observed_at":"2026-08-07T13:53:49.475521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17803","last_updated":"2023-06-01T07:42:15Z","snapshot_observed_at":"2026-08-07T09:48:31.741677Z","submitted_at":"2023-03-31T05:25:32Z","title":"Rethinking Local Perception in Lightweight Vision Transformer","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17803","snapshot_observed_at":"2026-08-07T13:53:42.616763Z","title":"Rethinking local perception in lightweight vision transformer.CoRR, abs/2303.17803, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:42.616763Z"},"links":{"cited_paper":"/paper/2303.17803","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:fa57aec54299a318c66bdd5fb8a39381ecc2d48fc13094333a72b3976453b460","observation_id":"768e8990-c5ed-40b7-a028-43e05d932e6c","resolution":{"observed_at":"2026-08-07T13:53:42.616763Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13335","last_updated":"2025-09-10T04:25:09Z","snapshot_observed_at":"2026-07-06T18:17:42.417326Z","submitted_at":"2024-05-22T04:34:36Z","title":"Vision Transformer with Sparse Scan Prior","version":2},"cited_work":{"arxiv_id":"2405.13335","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.13335","snapshot_observed_at":"2026-08-07T13:53:47.655533Z","title":"Vision Transformer with Sparse Scan Prior","venue":"cs.CV","work_id":"7723540f-ae77-42fe-8116-1db9e0f14c7d","year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:42.822060Z"},"links":{"cited_paper":"/paper/2405.13335","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:85182c60e33db5832f8ac0eb822bfbd39aa24dcd945f123ae5efa5edc40b41ca","observation_id":"267252a0-8207-4b6c-802b-42630874524d","resolution":{"observed_at":"2026-08-07T13:53:47.733820Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13337","last_updated":"2025-07-02T03:53:29Z","snapshot_observed_at":"2026-07-06T18:17:42.417326Z","submitted_at":"2024-05-22T04:49:00Z","title":"Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13337","snapshot_observed_at":"2026-08-07T13:53:42.947948Z","title":"Semantic equitable clustering: A simple, fast and effective strategy for vision transformer.arXiv preprint arXiv:2405.13337, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:42.947948Z"},"links":{"cited_paper":"/paper/2405.13337","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:5008600f6f72f793ee086145a319a58a048d022140b910ca87655e9bb30eaa5e","observation_id":"ad8c3daa-e6ac-4713-9af2-e4a3d45b8785","resolution":{"observed_at":"2026-08-07T13:53:42.947948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-07T13:53:43.037815Z","title":"Mamba: Linear-time sequence modeling with selective state spaces.arXiv preprint arXiv:2312.00752, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.037815Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:c611aa22b5cd50690d438c043bf1696e1f8a5b05ff7dd1632521166b9308541d","observation_id":"2bc5817a-9aa0-42bf-913f-734ea3bb6d36","resolution":{"observed_at":"2026-08-07T13:53:43.037815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.21060","last_updated":"2024-05-31T17:50:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-05-31T17:50:01Z","title":"Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.21060","snapshot_observed_at":"2026-08-07T13:53:43.192221Z","title":"Transformers are ssms: Generalized models and efficient algorithms through structured state space duality.arXiv preprint arXiv:2405.21060, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.192221Z"},"links":{"cited_paper":"/paper/2405.21060","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:9eb24c1a08aeb1d5dd89ad0c04d30281da5977639093c07e635bc961b6e9dd2b","observation_id":"780be3d8-9f31-4c44-abeb-3f05f938bc03","resolution":{"observed_at":"2026-08-07T13:53:43.192221Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.06484","last_updated":"2025-01-15T10:41:40Z","snapshot_observed_at":"2026-08-06T05:53:13.494942Z","submitted_at":"2024-06-10T17:24:42Z","title":"Parallelizing Linear Transformers with the Delta Rule over Sequence Length","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.06484","snapshot_observed_at":"2026-08-07T13:53:43.404040Z","title":"Parallelizing linear transformers with the delta rule over sequence length.arXiv preprint arXiv:2406.06484, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.404040Z"},"links":{"cited_paper":"/paper/2406.06484","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:1c7f0e8324090f0a02b3d426546de8c44778392f4a783df10a8da25cae5df2e9","observation_id":"23b43d5e-128a-4cf9-b784-405c7b5b86e2","resolution":{"observed_at":"2026-08-07T13:53:43.404040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00663","last_updated":"2024-12-31T22:32:03Z","snapshot_observed_at":"2026-08-07T09:00:33.558814Z","submitted_at":"2024-12-31T22:32:03Z","title":"Titans: Learning to Memorize at Test Time","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.00663","snapshot_observed_at":"2026-08-07T13:53:43.614720Z","title":"Titans: Learning to memorize at test time.arXiv preprint arXiv:2501.00663, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.614720Z"},"links":{"cited_paper":"/paper/2501.00663","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:6e955fa7e9d622156c27a15b3f54ad181148778d131171159de6887aaa5af158","observation_id":"3c4aa0c4-8e53-47f4-8dce-4cae96768e95","resolution":{"observed_at":"2026-08-07T13:53:43.614720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.08621","last_updated":"2023-08-09T08:53:08Z","snapshot_observed_at":"2026-08-02T13:21:32.251959Z","submitted_at":"2023-07-17T16:40:01Z","title":"Retentive Network: A Successor to Transformer for Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.08621","snapshot_observed_at":"2026-08-07T13:53:43.713012Z","title":"Retentive network: A successor to transformer for large language models.arXiv preprint arXiv:2307.08621, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.713012Z"},"links":{"cited_paper":"/paper/2307.08621","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:b40f7caca0944ecb1656c1c5a51cb7153ef6ac6ace06ced2f81e72759b3d681c","observation_id":"810837c5-a31d-4cdf-adc1-e8b5c02230c0","resolution":{"observed_at":"2026-08-07T13:53:43.713012Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04927","last_updated":"2023-12-08T09:44:25Z","snapshot_observed_at":"2026-08-05T07:11:50.808005Z","submitted_at":"2023-12-08T09:44:25Z","title":"Zoology: Measuring and Improving Recall in Efficient Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.04927","snapshot_observed_at":"2026-08-07T13:53:43.795984Z","title":"Zoology: Measuring and improving recall in efficient language models.arXiv preprint arXiv:2312.04927, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.795984Z"},"links":{"cited_paper":"/paper/2312.04927","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:7e9d0e70daf607a4320822ee18648b8709b71b4730ca026de4a92d87b060b4fa","observation_id":"a1402a76-c35d-43c9-8237-1a7f47eec5e3","resolution":{"observed_at":"2026-08-07T13:53:43.795984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18510","last_updated":"2024-12-06T19:50:34Z","snapshot_observed_at":"2026-08-06T00:21:22.707014Z","submitted_at":"2024-02-28T17:38:06Z","title":"RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18510","snapshot_observed_at":"2026-08-07T13:53:43.866446Z","title":"Rnns are not transformers (yet): The key bottleneck on in-context retrieval.arXiv preprint arXiv:2402.18510, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.866446Z"},"links":{"cited_paper":"/paper/2402.18510","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:40d6e70cb162e868972f4808cd9b174ecf2ffa6833221f292ed76bb637b35a36","observation_id":"8f85410b-d17b-454a-b531-445da45ac2df","resolution":{"observed_at":"2026-08-07T13:53:43.866446Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14627","last_updated":"2025-06-04T06:49:57Z","snapshot_observed_at":"2026-08-07T18:01:45.301822Z","submitted_at":"2025-02-20T15:06:15Z","title":"ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution Errors","version":3},"cited_work":{"arxiv_id":"2502.14627","doi":null,"metadata_source":"pith","pith_arxiv_id":"2502.14627","snapshot_observed_at":"2026-08-07T13:53:47.355644Z","title":"ATRI: Mitigating Multilingual Audio Text Retrieval Inconsistencies by Reducing Data Distribution Errors","venue":"cs.SD","work_id":"f42a5c8f-fc69-4a13-9aa6-551ad1a7fe49","year":2025},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:43.974236Z"},"links":{"cited_paper":"/paper/2502.14627","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:735143ee0e82e36543ecbc5efb72e7f83787719743727430ce9aa1efd79b7c7f","observation_id":"595f2c3b-fd82-4c71-95a0-cf3ef1181ba8","resolution":{"observed_at":"2026-08-07T13:53:47.428071Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.12973","last_updated":"2024-01-30T18:59:34Z","snapshot_observed_at":"2026-07-06T17:19:31.847730Z","submitted_at":"2024-01-23T18:59:21Z","title":"In-Context Language Learning: Architectures and Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.12973","snapshot_observed_at":"2026-08-07T13:53:44.127841Z","title":"In-context language learning: Architectures and algorithms.arXiv preprint arXiv:2401.12973, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:44.127841Z"},"links":{"cited_paper":"/paper/2401.12973","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:4432b7a225b6e1216c9de1e3627e69c053763700f9e4ef72de1a6f81722b5e55","observation_id":"344e05e0-6168-4468-aa52-0fdfcf3bd63e","resolution":{"observed_at":"2026-08-07T13:53:44.127841Z","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":"2026-08-07T13:53:44.292245Z","title":"Knowledge distillation: A survey","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:44.292245Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:36d6ec66c80c44af993e4cd0dfd79403c540ae3b3167cdca7c9df5a1e1724329","observation_id":"72ab3a85-3148-46b9-a74e-6d6349c8d158","resolution":{"observed_at":"2026-08-07T13:53:44.292245Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.03532","last_updated":"2021-02-28T23:31:44Z","snapshot_observed_at":"2026-07-06T08:55:58.482745Z","submitted_at":"2020-02-10T04:21:41Z","title":"Understanding and Improving Knowledge Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.03532","snapshot_observed_at":"2026-08-07T13:53:44.368455Z","title":"Understanding and improving knowledge distillation.arXiv preprint arXiv:2002.03532, 2020","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:44.368455Z"},"links":{"cited_paper":"/paper/2002.03532","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:309ec9d592715a76e6c88abf0cd7c071b17d6929c587821bc9866a304bb6b063","observation_id":"3b5a70de-3bed-48bd-99c9-f57e5d1d764f","resolution":{"observed_at":"2026-08-07T13:53:44.368455Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.08606","last_updated":"2025-07-25T16:55:43Z","snapshot_observed_at":"2026-08-06T06:09:00.258656Z","submitted_at":"2025-02-12T17:52:47Z","title":"Distillation Scaling Laws","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.08606","snapshot_observed_at":"2026-08-07T13:53:44.547375Z","title":"Distillation scaling laws.arXiv preprint arXiv:2502.08606, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:44.547375Z"},"links":{"cited_paper":"/paper/2502.08606","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:8eae52bf3d8c8819831776e6f3ada4c10c1a813fcaf49879f43124f1cfeea12f","observation_id":"cb9b0894-42ac-4dd9-9639-356e2dfd57cc","resolution":{"observed_at":"2026-08-07T13:53:44.547375Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-07T13:53:44.746856Z","title":"Distilling the knowledge in a neural network.arXiv preprint arXiv:1503.02531, 2015","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:44.746856Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:0e78b612b12e044337bf1a02ef8d04c878b71b00b3d4dfae87235e419df085b1","observation_id":"e402c84c-8f4d-4674-aca9-f72a7fb83902","resolution":{"observed_at":"2026-08-07T13:53:44.746856Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.224477Z","title":"Parametric instance classification for unsupervised visual feature learning.Advances in neural information processing systems, 33:15614– 15624, 2020","venue":null,"work_id":"877300d0-13a9-4906-b5e1-d08b414dfa49","year":2020},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:44.898983Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:be538d880de3d91963a8d88a1de1e949187ac159066be6d7a6299d5258851661","observation_id":"bb54d88b-40e4-4618-875d-1763898db942","resolution":{"observed_at":"2026-08-07T13:53:49.310838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:49.067918Z","title":"Peco: Perceptual codebook for bert pre-training of vision transformers","venue":null,"work_id":"69028db1-bee7-4f54-af8c-ff02e9aedcc7","year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:45.057926Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:824c12472b30a86a1a7d433b0f5b71e106001d71207e70e9921e591c3c648117","observation_id":"7937192a-d18e-4243-b0dd-381810a358f3","resolution":{"observed_at":"2026-08-07T13:53:49.146834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.878232Z","title":"Simmim: A simple framework for masked image modeling","venue":null,"work_id":"0e1b9312-fc93-4be8-a294-69d363a77d84","year":2022},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:45.259180Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:2a84fb2f2e944557ea25eb5734dc4fab8c3fc9f5439c4d48777e0cf4d29d1577","observation_id":"eb5f47ff-3a91-4c95-999b-9a2164657409","resolution":{"observed_at":"2026-08-07T13:53:48.964219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:45.401165Z","title":"Convnext v2: Co-designing and scaling convnets with masked autoencoders","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:45.401165Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:b25ea4d46f72634e17dded41f9b18db3cbe3c0c62c2fbdbe01eb0cc689771016","observation_id":"5f78d5b9-de59-47b1-9af3-b2dc4d9184eb","resolution":{"observed_at":"2026-08-07T13:53:45.401165Z","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":"2026-08-06T05:58:29.182448Z","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":"2026-08-07T13:53:45.570926Z","title":"Dinov2: Learning robust visual features without supervision.arXiv preprint arXiv:2304.07193, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:45.570926Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:f2a8a3ade0b8df181b92ac39d12757b1a756fd3f29298853d2e6f9375eb1f8a1","observation_id":"ed883b94-2323-436d-81e7-69c820df6b92","resolution":{"observed_at":"2026-08-07T13:53:45.570926Z","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":"2026-08-07T13:53:45.732403Z","title":"Image bert pre-training with online tokenizer","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:45.732403Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:570096448d9e018ec279efe05717bf44392c27cd0728c2d9a909a0c321a83f51","observation_id":"261803a9-9552-40fe-99f8-8e15e57543b6","resolution":{"observed_at":"2026-08-07T13:53:45.732403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.09862","last_updated":"2022-11-17T19:54:18Z","snapshot_observed_at":"2026-07-06T14:19:59.628326Z","submitted_at":"2022-11-17T19:54:18Z","title":"Knowledge distillation for fast and accurate DNA sequence correction","version":1},"cited_work":{"arxiv_id":"2211.09862","doi":null,"metadata_source":"pith","pith_arxiv_id":"2211.09862","snapshot_observed_at":"2026-08-07T13:53:47.131541Z","title":"Knowledge distillation for fast and accurate DNA sequence correction","venue":"q-bio.GN","work_id":"3fabc7b0-05c2-4afa-a8e6-d817147569ba","year":2022},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:45.930783Z"},"links":{"cited_paper":"/paper/2211.09862","citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:7b5ed84e6e5ed40228a90eccdf04dd068bc5536ecf7aa857e9cec80825d8dc9c","observation_id":"57452b99-88ad-46a2-aa7d-e20db22d9b67","resolution":{"observed_at":"2026-08-07T13:53:47.196968Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.714830Z","title":"Self-distillation improves self-supervised learning for dna sequence inference.Neural Networks, 183:106978, 2025","venue":null,"work_id":"dd683dba-5251-4de8-a2a0-03c971307bcc","year":2025},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:46.044342Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:8d0eb1d86f08e1bbb35ec71d610df94243b416659469e5b52f26dde1d0017d2a","observation_id":"0ef557ae-5954-4480-99ac-574cfef6384b","resolution":{"observed_at":"2026-08-07T13:53:48.791273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:46.196287Z","title":"Attention is all you need.Advances in neural information processing systems, 30, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:46.196287Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:e82f1668fb8144f750384bf0ee5c3c0751a412cb19bdb13b8c705be1bad4fd0b","observation_id":"f7493f0d-93bf-4dfd-8ee3-89c181a789a7","resolution":{"observed_at":"2026-08-07T13:53:46.196287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.546049Z","title":"Genomic benchmarks: a collection of datasets for genomic sequence classification.BMC Genomic Data, 24(1):25, 2023","venue":null,"work_id":"cca28248-32a7-4cc1-9030-8602fe386d47","year":2023},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:46.333304Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:4e4e6274fc4ea0f53afcd7ab2b3dfd430696e8d4c1c5c74bef877d26c14152c4","observation_id":"02b1147e-73b7-4704-9925-0b4001562a0f","resolution":{"observed_at":"2026-08-07T13:53:48.604275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:46.458176Z","title":"Effective gene expression prediction from sequence by integrating long-range interactions.Nature methods, 18(10):1196–1203, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:46.458176Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:3f98055b8bc5cc01ecbcbcc9aea2b8d4ac1c760295fb7c9cdcd1f8195b9c92ac","observation_id":"222af0b6-2d44-4097-962e-3a1dd93b0696","resolution":{"observed_at":"2026-08-07T13:53:46.458176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.408274Z","title":"Evaluation of grch38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assembly","venue":null,"work_id":"ad00f8fc-7914-4c6c-94a7-cc78246de433","year":2017},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:46.563803Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:e40566f3644f2a46390902be96997c788c3e97bfe4a594892fc1d658ad7d5f7b","observation_id":"ccf8f2b9-72c9-470e-9cf5-50ed8442d190","resolution":{"observed_at":"2026-08-07T13:53:48.467304Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.230233Z","title":"Towards a better understanding of reverse- complement equivariance for deep learning models in genomics","venue":null,"work_id":"ae209a7a-eef4-4975-b440-3816ba04d740","year":2022},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:46.728894Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:67cc0cdf6e0def29087e69814c384a8e841384699493eb3aab3ad167961b02e9","observation_id":"9dbd64b3-f20a-4e21-bec4-b46b78135d6c","resolution":{"observed_at":"2026-08-07T13:53:48.333082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:53:48.069563Z","title":"Visualizing data using t-sne.Journal of machine learning research, 9(11), 2008","venue":null,"work_id":"554004bc-c588-40b3-bb6b-34a2c64a5654","year":2008},"citing_paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:46.962304Z"},"links":{"citing_paper":"/paper/2505.20836"},"observation_digest":"sha256:b289b5ed84e8e54c722837e7a14d3709766964c0fd06906f6e248f5c2d7ec07b","observation_id":"a7cdbb9c-3a8d-4815-9194-c21723b9167b","resolution":{"observed_at":"2026-08-07T13:53:48.141448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20836","last_updated":"2025-05-27T07:57:35Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T22:06:07.558958Z","submitted_at":"2025-05-27T07:57:35Z","title":"HAD: Hybrid Architecture Distillation Outperforms Teacher in Genomic Sequence Modeling"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":27,"verified_exact":4,"verified_fuzzy":15},"total_outbound_references":46},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.20836."}