{"as_of":"2026-08-10T05:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:be865012379e54679a5ac181687b79268b9eed6ea73e8d9afed06788f4aec2e0","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":20,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:54:46.236855Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T18:40:03.331686Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-07T13:54:46.236855Z","title":"Mechanistic design and scaling of hybrid architectures","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.20698","last_updated":"2025-05-27T04:07:23Z","snapshot_observed_at":"2026-08-09T20:42:35.268317Z","submitted_at":"2025-05-27T04:07:23Z","title":"Sparsified State-Space Models are Efficient Highway Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:54:46.236855Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2505.20698"},"observation_digest":"sha256:6ccc79838fb79a0011529637814af1d89dd001a38c707b6679314753bce4623b","observation_id":"e8da9ce5-fdaa-4e99-b6d1-9d7274b97254","resolution":{"observed_at":"2026-08-07T13:54:46.236855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-07T12:44:20.173527Z","title":"Mechanistic design and scaling of hybrid architectures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23735","last_updated":"2025-05-29T17:57:16Z","snapshot_observed_at":"2026-08-07T22:01:11.686885Z","submitted_at":"2025-05-29T17:57:16Z","title":"ATLAS: Learning to Optimally Memorize the Context at Test Time","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T12:44:20.173527Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2505.23735"},"observation_digest":"sha256:ecb861cd62ca62e90af26ac9f8842700b8d80011575e426cadf0a4e4f3c5dabf","observation_id":"a74b312b-ed80-467d-89fe-9b54d11ce7f4","resolution":{"observed_at":"2026-08-07T12:44:20.173527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-07T11:57:22.798604Z","title":"Mechanistic design and scaling of hybrid architectures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01115","last_updated":"2025-09-03T19:18:47Z","snapshot_observed_at":"2026-08-08T11:54:01.449606Z","submitted_at":"2025-06-01T18:42:39Z","title":"Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer","version":3},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T11:57:22.798604Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2506.01115"},"observation_digest":"sha256:05c01a7485c9a40bae78e794a5a3e50608f2faee228c32c919e73f1091a32812","observation_id":"7dcd428a-9b5d-4e5f-987c-30bbdeab8320","resolution":{"observed_at":"2026-08-07T11:57:22.798604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-07T10:29:01.949157Z","title":"Mechanistic design and scaling of hybrid architectures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05340","last_updated":"2025-06-06T17:59:47Z","snapshot_observed_at":"2026-08-08T23:57:15.811108Z","submitted_at":"2025-06-05T17:59:40Z","title":"Exploring Diffusion Transformer Designs via Grafting","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T10:29:01.949157Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2506.05340"},"observation_digest":"sha256:8eac146b8c50f83e7edcd2fedd5842988f688846d0dedb90a99eb9adf3298823","observation_id":"73430180-c280-477c-9544-f9178ffc6258","resolution":{"observed_at":"2026-08-07T10:29:01.949157Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-06T15:30:41.137417Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15759","last_updated":"2025-07-21T16:15:18Z","snapshot_observed_at":"2026-08-07T12:39:48.882990Z","submitted_at":"2025-07-21T16:15:18Z","title":"Interaction as Intelligence: Deep Research With Human-AI Partnership","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-06T15:30:41.137417Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2507.15759"},"observation_digest":"sha256:492118c8e47a19b311f2645c28d77e7a7c5f4a1f4453a30ed80cbcd54f9b5b59","observation_id":"48a10f9b-448a-4c6d-82c7-12e7cd215ed9","resolution":{"observed_at":"2026-08-06T15:30:41.137417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2509.19349","last_updated":"2025-09-17T17:49:02Z","snapshot_observed_at":"2026-08-08T12:04:51.587933Z","submitted_at":"2025-09-17T17:49:02Z","title":"ShinkaEvolve: Towards Open-Ended And Sample-Efficient Program Evolution","version":1},"reference_index":189,"source":"arxiv_source","source_observed_at":"2026-05-16T13:58:58.627748Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2509.19349"},"observation_digest":"sha256:a31218334da977a41de3b43c240310cdfd7c144566a4b0d8134d3b5a9176d582","observation_id":"96e16176-05a6-49f6-a8b7-26946e10b506","resolution":{"observed_at":"2026-05-16T13:58:58.965459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2510.04800","last_updated":"2026-04-21T13:16:20Z","snapshot_observed_at":"2026-08-02T20:03:37.497118Z","submitted_at":"2025-10-06T13:30:07Z","title":"Hybrid Architectures for Language Models: Systematic Analysis and Design Insights","version":3},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T10:18:04.431436Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2510.04800"},"observation_digest":"sha256:ec1bc8c721b178a3199c9789f818f3dc4cc0bc59af2448fe1f63296c2e77879c","observation_id":"ae9bb37e-4d30-4110-a650-cb971dc5ac54","resolution":{"observed_at":"2026-05-18T10:21:14.980894Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-03T18:57:01.034847Z","title":"Mechanistic design and scaling of hybrid architectures, 2024.URL https://arxiv","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.02924","last_updated":"2026-07-20T02:01:50Z","snapshot_observed_at":"2026-08-06T15:38:52.220151Z","submitted_at":"2025-12-02T16:45:25Z","title":"AutoNeural: Co-Designing Vision-Language Models for NPU Inference","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-03T18:57:01.034847Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2512.02924"},"observation_digest":"sha256:e8a8446f0222168ccffc2d60801f09e98b783d157d5942bf06dbccc6bad649cd","observation_id":"cac9283b-b3a5-4e0a-9411-0f24fcb3eceb","resolution":{"observed_at":"2026-08-03T18:57:01.034847Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2605.05365","last_updated":"2026-05-06T18:44:08Z","snapshot_observed_at":"2026-08-09T11:43:52.076241Z","submitted_at":"2026-05-06T18:44:08Z","title":"ZAYA1-8B Technical Report","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-05-08T17:36:37.182196Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2605.05365"},"observation_digest":"sha256:b49e71beda9441353cbd0beee9bf30d735ca2193110dec501e8ac237e7991bf2","observation_id":"fbdbb1ba-cadf-4de1-a0b5-f3f3bd6c33b9","resolution":{"observed_at":"2026-05-11T17:26:05.016459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2605.08451","last_updated":"2026-05-08T20:17:12Z","snapshot_observed_at":"2026-07-06T23:20:43.010758Z","submitted_at":"2026-05-08T20:17:12Z","title":"RubiConv -- Efficient Boundary-Respecting Convolutions","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T01:48:19.732988Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2605.08451"},"observation_digest":"sha256:0f1fe07e4126d687727c2dd147fbc75199032d31761cd841d0db336740a1face","observation_id":"fabed174-1d0e-4981-a6ba-7872533ea0cb","resolution":{"observed_at":"2026-05-12T07:51:37.108392Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2605.19150","last_updated":"2026-05-18T22:06:33Z","snapshot_observed_at":"2026-07-06T23:29:57.003383Z","submitted_at":"2026-05-18T22:06:33Z","title":"Flash PD-SSM: Memory-Optimized Structured Sparse State-Space Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-20T11:48:42.834602Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2605.19150"},"observation_digest":"sha256:6a87e607015f2e252681b5b78589ba29a96e582f25d3929a38430986d3cd610d","observation_id":"c810f1db-39e4-40bd-9891-40ba72298ee7","resolution":{"observed_at":"2026-05-20T11:53:15.187883Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2605.21070","last_updated":"2026-05-20T11:56:15Z","snapshot_observed_at":"2026-07-06T23:31:32.577242Z","submitted_at":"2026-05-20T11:56:15Z","title":"Towards Understanding Self-Pretraining for Sequence Classification","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-05-21T05:29:58.809024Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2605.21070"},"observation_digest":"sha256:0ec4c49e92b785d026ca2adf5173df8ab2b9612998053bf2f6f7c2562db05d79","observation_id":"1f45b7d1-a99c-46b0-8144-4dfd8921da1d","resolution":{"observed_at":"2026-05-21T05:33:58.915104Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2605.31163","last_updated":"2026-05-29T11:13:00Z","snapshot_observed_at":"2026-08-01T14:41:04.597557Z","submitted_at":"2026-05-29T11:13:00Z","title":"Memory by Design: Probabilistic Sequence Layers","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-06-28T21:07:31.407554Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2605.31163"},"observation_digest":"sha256:92c7ee28521a0b7abfdc73b40cc08bc59f59dc73a69f8a29105b58606beb84d9","observation_id":"b87ef637-fc4d-4626-85e5-f4ee0398a80e","resolution":{"observed_at":"2026-07-01T20:26:12.909347Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2606.03825","last_updated":"2026-06-02T16:07:55Z","snapshot_observed_at":"2026-08-03T23:42:45.221248Z","submitted_at":"2026-06-02T16:07:55Z","title":"Dynamic Short Convolutions Improve Transformers","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-06-28T10:48:50.103004Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2606.03825"},"observation_digest":"sha256:5c88682c294bb659c6e3f556ca60225059d526371e77c1318f9fe25c3ac7d9b9","observation_id":"2acfcd01-d186-48cf-8e5c-f09a1b153dc1","resolution":{"observed_at":"2026-07-02T02:36:27.002172Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2606.21228","last_updated":"2026-06-23T04:40:39Z","snapshot_observed_at":"2026-08-02T19:24:45.644999Z","submitted_at":"2026-06-19T08:47:40Z","title":"Sakana Fugu Technical Report","version":2},"reference_index":223,"source":"arxiv_source","source_observed_at":"2026-06-26T14:22:37.596720Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2606.21228"},"observation_digest":"sha256:00e5aaead741c531c9b72dbbf67ad3a5151fdcf64ae08531e76a2f7ab2ca7e3a","observation_id":"e24f5058-cc72-4b07-a00a-7949185ed448","resolution":{"observed_at":"2026-07-04T06:39:36.832098Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2606.24320","last_updated":"2026-06-25T20:48:22Z","snapshot_observed_at":"2026-07-06T23:58:54.018557Z","submitted_at":"2026-06-23T08:57:34Z","title":"ZONOS2 Technical Report","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-06-25T22:37:15.072758Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2606.24320"},"observation_digest":"sha256:3fdb694e5762557a1420a33504c6735f7c2f565646f45a29bae0db0fcaf2026f","observation_id":"1026e2e3-5f86-4dca-8981-b08a2ae3cdde","resolution":{"observed_at":"2026-07-04T18:40:03.333214Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":"2403.17844","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-07-04T18:40:03.331686Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":"8e9256eb-e497-4fb3-9807-fb16ed972a6b","year":2024},"citing_paper":{"arxiv_id":"2606.24320","last_updated":"2026-06-25T20:48:22Z","snapshot_observed_at":"2026-07-06T23:58:54.018557Z","submitted_at":"2026-06-23T08:57:34Z","title":"ZONOS2 Technical Report","version":2},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-06-29T02:07:31.791835Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2606.24320"},"observation_digest":"sha256:c497e5a9561ebbb7ae243525b3e5d766d9a599567f9a5502d580724a5df9401a","observation_id":"d3aed2a0-26e5-4515-b3b8-3b7810ace418","resolution":{"observed_at":"2026-07-01T18:15:59.115459Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-02T09:06:10.804749Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19390","last_updated":"2026-07-23T12:47:31Z","snapshot_observed_at":"2026-08-06T04:48:50.455284Z","submitted_at":"2026-07-02T18:54:23Z","title":"The Orthogonalized Read Is a Removable Training Scaffold for Recurrent Memory","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T09:06:10.804749Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2607.19390"},"observation_digest":"sha256:784791d3002c718ad911b1c706cba8565512897012dd04b641eb7a9867264daf","observation_id":"22f5bb58-1172-484a-afa0-6127a783189f","resolution":{"observed_at":"2026-08-02T09:06:10.804749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-01T09:51:53.573881Z","title":"arXiv preprint arXiv:2403.17844 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27308","last_updated":"2026-07-29T17:49:04Z","snapshot_observed_at":"2026-08-05T10:53:49.344314Z","submitted_at":"2026-07-29T17:49:04Z","title":"ZUNA1.1: A more flexible EEG foundation model for Denoising and Super-resolution","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-01T09:51:53.573881Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2607.27308"},"observation_digest":"sha256:ee8c182d8945a3f285d252e52bb2be742da70a756d49395057ce66650d501731","observation_id":"b0335f28-a408-4142-9406-a30a6af7009b","resolution":{"observed_at":"2026-08-01T09:51:53.573881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.17844","snapshot_observed_at":"2026-08-04T23:14:09.604533Z","title":"Mechanistic design and scaling of hybrid architectures.arXiv preprint arXiv:2403.17844, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.01672","last_updated":"2026-08-03T04:06:06Z","snapshot_observed_at":"2026-08-06T23:32:54.480980Z","submitted_at":"2026-08-03T04:06:06Z","title":"Learning What to Remember: Test-Time Training via Context Distillation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T23:14:09.604533Z"},"links":{"cited_paper":"/paper/2403.17844","citing_paper":"/paper/2608.01672"},"observation_digest":"sha256:c6fd4ad36b02015311e972695d2fc62f25a55ce66ecd5116022036bb8ae45708","observation_id":"40fd6dab-2f54-4d83-8ed8-b9ffee9cfd62","resolution":{"observed_at":"2026-08-04T23:14:09.604533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.17844/citation-record","integrity":"/paper/2403.17844/integrity","json":"/paper/2403.17844/citation-record.json","paper":"/paper/2403.17844"},"outbound":[],"paper":{"arxiv_id":"2403.17844","last_updated":"2024-08-19T17:26:18Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T14:35:48.289765Z","submitted_at":"2024-03-26T16:33:12Z","title":"Mechanistic Design and Scaling of Hybrid Architectures"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2403.17844."}