{"as_of":"2026-08-20T12:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5eef376936a84469d42054b35a50e010e68b44ddbc306baaeffcec55526ee640","coverage":[{"denominator":75,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":75,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-18T18:59:02.109441Z","state":"measured"},{"denominator":76,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":76,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-09T14:58:58.363330Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-09T15:06:18.076380Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"cited_work":{"arxiv_id":"2509.03738","doi":null,"metadata_source":"pith","pith_arxiv_id":"2509.03738","snapshot_observed_at":"2026-07-09T15:06:18.076380Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","venue":"cs.LG","work_id":"eda24444-c77c-4ddd-8f0f-4675b8924a12","year":2025},"citing_paper":{"arxiv_id":"2607.07316","last_updated":"2026-07-08T12:04:38Z","snapshot_observed_at":"2026-08-15T02:54:06.272019Z","submitted_at":"2026-07-08T12:04:38Z","title":"Mechanistic Interpretability for Neural Networks: Circuits, Sparse Features and Symbolic Reasoning","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-09T14:58:58.363330Z"},"links":{"cited_paper":"/paper/2509.03738","citing_paper":"/paper/2607.07316"},"observation_digest":"sha256:e845a4ac671bbdadd70866ef4e26a219afa83617ffbf833166c06bff3fe97f7b","observation_id":"2f2cf6b8-dff7-433f-aac9-8e9fd179ccd2","resolution":{"observed_at":"2026-07-09T15:06:18.077625Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2509.03738/citation-record","integrity":"/paper/2509.03738/integrity","json":"/paper/2509.03738/citation-record.json","paper":"/paper/2509.03738"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Brain-score: Which artificial neural network for object recognition is most brain-like?","venue":null,"work_id":"ac2d6c88-2e94-4aac-bd74-1a795e33ba15","year":2018},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:fb952f092d39f03c8bb2501dd62c4fc5d9ba9d4df3e26fc51a0cb4222f543311","observation_id":"c8400710-7392-45ce-baa6-c5f2ad179386","resolution":{"observed_at":"2026-05-18T19:01:47.017151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The topology and geometry of neural representations","venue":null,"work_id":"850191a6-93c5-40c3-b002-e0db0c1e9ce5","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:45732e2fc1da926e5c209e5ae9edd03cfdf455f8f2e7a4bffa8f3819ae4a143a","observation_id":"00e055cb-759b-459b-b249-8fb0e957bc09","resolution":{"observed_at":"2026-05-18T19:01:47.027740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"High-level visual representations in the human brain are aligned with large language models","venue":null,"work_id":"0efcc5ac-b0e8-4903-b1ed-a4796b5a21ac","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:e6fb02d8bd4a4cf5704f674a0c11bbeafa009e58bd35f6e3ca836e4666bc52d8","observation_id":"139af54d-d646-49fd-950e-a5e20345159d","resolution":{"observed_at":"2026-05-18T19:01:47.001376Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stabilization of a brain–computer interface via the alignment of low-dimensional spaces of neural activity","venue":null,"work_id":"7de4ed07-022f-4d31-9f0f-57f352fba38c","year":2020},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:0a8b31deeab84fac20562d2f97819ce5b21ff771ea88482751b5919e6a988ebb","observation_id":"99e6a759-0a0b-44fe-a49b-772d49e87848","resolution":{"observed_at":"2026-05-18T19:01:47.030326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Universality and individuality in neural dynamics across large populations of recurrent networks","venue":null,"work_id":"631a5f46-c31a-4a6d-a1f3-fbd9f90c4f60","year":2019},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:d6a7eec92d41dab4ac6dcade3ae6f29c41d6a5f1fd56816663e9becb1c4fa309","observation_id":"07ba7172-970b-4bdd-982c-c97c67e66de7","resolution":{"observed_at":"2026-05-18T19:01:47.109907Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Equivalence between representational similarity analysis, centered kernel alignment, and canonical correlations analysis","venue":null,"work_id":"e7e0fda4-8eed-4206-8523-0cdb57a3f1aa","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:9e27241c923e513fa315a84b9d28d9de9de1c98fb78f56c58c8a3e55526579a2","observation_id":"40176c8c-2248-4211-b645-7638939f4214","resolution":{"observed_at":"2026-05-18T19:01:47.102494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Soft matching distance: A metric on neural representations that captures single-neuron tuning","venue":null,"work_id":"b40fb518-0420-4879-807d-bd5ea024e05d","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:73f26127b057d2da3f1b010f93e8c6bca0aebad433f380fe3762ab6b0bff64a9","observation_id":"cec45f52-66e4-41cd-bb89-8e9fb9f24f8a","resolution":{"observed_at":"2026-05-18T19:01:47.099147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Representation topology divergence: A method for comparing neural network representations","venue":null,"work_id":"784b2979-b0b5-40b7-be88-f49ea2a56e72","year":2022},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:39144e27030311c8b83ef200794ef57b105ec060b611fa4fb7aa78c5ecdee7bc","observation_id":"47cb7de8-c77c-4100-8532-67f1b1b9fc4a","resolution":{"observed_at":"2026-05-18T19:01:47.106085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Representational similarity analysis–connecting the branches of systems neuroscience","venue":null,"work_id":"ee754825-88b6-41ba-93e3-3cc00c704395","year":2008},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:6c4f3b1f53afd74c24ed93e3e83b66401f2b3b0298912838ba7a7ac6c5649c56","observation_id":"736c0a71-9118-413d-8f41-c994cb2794d0","resolution":{"observed_at":"2026-05-18T19:01:47.166870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Position: The platonic representation hypothesis","venue":null,"work_id":"fb54f34a-6904-4171-8645-2c8c0901651b","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:4025f00dbed3bc0c6114be36bc62cd98f334dc701923979e8fbd4f86535b7117","observation_id":"d44a9900-a41d-4b04-9be6-49901afb4709","resolution":{"observed_at":"2026-05-18T19:01:47.116224Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2507.01098","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proof of a perfect platonic representation hypothesis","venue":null,"work_id":"1d5b51c8-1408-4ef0-ad75-03a8b2a76adb","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:2557729bf0ad7709e900406c1a9b5891afa09564269cd132c370244ca8a55f44","observation_id":"ebbf67d2-e79f-4144-a3ff-3d4e9abd3ef7","resolution":{"observed_at":"2026-05-18T19:01:45.829389Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.03485","last_updated":"2020-03-07T01:56:20Z","snapshot_observed_at":"2026-08-15T17:57:12.049079Z","submitted_at":"2020-03-07T01:56:20Z","title":"Neural Operator: Graph Kernel Network for Partial Differential Equations","version":1},"cited_work":{"arxiv_id":"2003.03485","doi":"10.48550/arxiv.2003.03485","metadata_source":"pith","pith_arxiv_id":"2003.03485","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Neural Operator: Graph Kernel Network for Partial Differential Equations","venue":"cs.LG","work_id":"00a591bc-6cad-477c-be12-26d5623f625d","year":2020},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/2003.03485","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:dea8cf4c42baf23f38aed889b22125ae7b6891f67586094a1198394bbaf8137e","observation_id":"3e025e80-744b-462a-aee9-d964e1be1d62","resolution":{"observed_at":"2026-05-18T19:01:45.806106Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-05-24T06:24:49.668532+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T06:24:49.668532+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Fourier neural operator for parametric partial differential equations","venue":null,"work_id":"9813e69b-37c2-4695-99e3-d0ca1b238bc2","year":2021},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:fd97ef4c88eabc50a858eade1b369d6fe22ead862640be05d8469f4f40973216","observation_id":"b08a2266-4104-44a8-9323-8e80ea84ba64","resolution":{"observed_at":"2026-05-18T19:01:47.089329Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neural operator: Learning maps between function spaces with applications to pdes","venue":null,"work_id":"b3119622-7be3-4f5a-a254-1ea62487840a","year":2023},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:557396d6b5000434fa495c55313fad30400fa28d03a1f62f891d8ec9ca96289a","observation_id":"87297d49-36fc-4ee1-b3ea-bb32e032d913","resolution":{"observed_at":"2026-05-18T19:01:47.092916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neural operators for accelerating scientific simulations and design","venue":null,"work_id":"70161361-e485-4f7d-af03-93230f9dc9df","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:ebf0a169e3020d5e1bb1b212e1d1a74d2b71e2578a4487d7224c71459daa78b9","observation_id":"cd2f55fa-dded-47e4-9409-d5b67af896f4","resolution":{"observed_at":"2026-05-18T19:01:47.074943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Vars-fusi: Variable sampling for fast and efficient functional ultrasound imaging using neural operators","venue":null,"work_id":"f90295f8-1bf4-4bf5-8928-1ef2cd748334","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:c7ee7156662d731ff79c144b827b30aed227632be90b07df660d062d153ac71a","observation_id":"1008fb80-dc9c-4594-8320-50bc565b5425","resolution":{"observed_at":"2026-05-18T19:01:47.059249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.04536","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noble–neural operator with biologically-informed latent embeddings to capture experimental variability in biological neuron models","venue":null,"work_id":"b5ffecea-5844-4d72-aca0-f814bfc616cd","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:b19046a2021c437e85e423320526972cb78dfa5a6bcc0ddba0a8fb5f9369abc5","observation_id":"2e3d50e7-b2bf-4609-a01f-1fc7bc81c5db","resolution":{"observed_at":"2026-05-18T19:01:45.815048Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11214","last_updated":"2022-02-22T22:19:35Z","snapshot_observed_at":"2026-08-14T08:28:25.306803Z","submitted_at":"2022-02-22T22:19:35Z","title":"FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators","version":1},"cited_work":{"arxiv_id":"2202.11214","doi":"10.48550/arxiv.2202.11214","metadata_source":"pith","pith_arxiv_id":"2202.11214","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators","venue":"physics.ao-ph","work_id":"f9242607-7911-49ac-bf05-992acb925f65","year":2022},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/2202.11214","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:e4e83ef0dcf433b1b3c56ab11c3e3093cca010cbedf7f1efe222f29d902602ed","observation_id":"14b31e16-934d-4382-90ad-171495c0e8da","resolution":{"observed_at":"2026-05-18T19:01:45.835948Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Geometry-informed neural operator for large-scale 3d pdes","venue":null,"work_id":"acd77384-8e04-4f52-a24d-af345b16b290","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:8b0693c8fb94e35922898966998ed69653ff902f6758c7751be1d8ef1070802e","observation_id":"0d86de69-38e1-4916-8cfe-05dbdade1530","resolution":{"observed_at":"2026-05-18T19:01:47.053418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unify- ing subsampling pattern variations for compressed sensing mri with neural operators","venue":null,"work_id":"edfa236e-b797-4565-afee-59d5c8baaf7e","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:073eb88c0bdb60ddbb8ccbe5ea99a666728097dcb168a696c78a043f04b58eb5","observation_id":"ca3fe83d-67cd-4198-9b1d-a71370c7bc6f","resolution":{"observed_at":"2026-05-18T19:01:47.056426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)","venue":null,"work_id":"94036fc8-5c51-463c-bfa9-5faade87c46f","year":2018},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:2a568f8e707b591940c7f11b38cd2aaf1cd4f5af064dc024a94b8a0da1ec46d8","observation_id":"b1f39c06-b087-4aa7-9cfa-8e00c29f2d37","resolution":{"observed_at":"2026-05-18T19:01:47.061678Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Emergence of simple-cell receptive field properties by learning a sparse code for natural images","venue":null,"work_id":"1ad9621c-e817-454b-b3a3-88e15b849556","year":1996},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:ffed83e6f127ae6f2a3693e9f9d8521788062b67623fab1241c4d43895d33efb","observation_id":"226ca26f-33b8-4257-978c-f948605fc288","resolution":{"observed_at":"2026-05-18T19:01:47.064448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sparse coding with an overcomplete basis set: A strategy employed by v1?","venue":null,"work_id":"1b73e71d-c7bb-467f-b40f-25e177bb8b15","year":1997},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:417f87663ebb9403c38f7df526a4251c303001c0fdc0a05ade75324bf90a51dd","observation_id":"e98f946c-6270-4d17-a0ec-ac90392fe8fb","resolution":{"observed_at":"2026-05-18T19:01:47.050514Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10652","last_updated":"2022-09-21T20:49:26Z","snapshot_observed_at":"2026-08-16T21:36:28.067615Z","submitted_at":"2022-09-21T20:49:26Z","title":"Toy Models of Superposition","version":1},"cited_work":{"arxiv_id":"2209.10652","doi":"10.48550/arxiv.2209.10652","metadata_source":"pith","pith_arxiv_id":"2209.10652","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Toy Models of Superposition","venue":"cs.LG","work_id":"43875dbe-bc2d-4ab5-af63-744411533ff7","year":2022},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/2209.10652","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:ceced1b7777ad50c93179aa9565599ef2c0644c329b85b9d23d415928e0f9b58","observation_id":"b03c3bc0-cdb2-4a4a-b30e-706ca2489d12","resolution":{"observed_at":"2026-05-18T19:01:45.839887Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sparse autoencoders find highly interpretable features in language models","venue":null,"work_id":"8be38333-5fd9-4f9c-be46-3d990dd6eff0","year":2023},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:fbfbec641daeb7aadfe9a0f258f5336396f315d123591252d96acfbc2d729987","observation_id":"14ab409e-2ec9-48cd-8f88-2a5a0f67e4cf","resolution":{"observed_at":"2026-05-18T19:01:47.044500Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards monosemanticity: Decomposing language models with dictionary learning","venue":null,"work_id":"43f136a8-2ea0-4248-b27a-e7d8456439c4","year":2023},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:e6606b913252cdbf1083e6b165c56625db56b64cc01ee990f80a9525c9b465e6","observation_id":"f5ff2886-da2a-495e-be3a-e4263af7f94c","resolution":{"observed_at":"2026-05-18T19:01:47.047614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14435","last_updated":"2024-08-01T17:42:04Z","snapshot_observed_at":"2026-08-08T18:10:15.134088Z","submitted_at":"2024-07-19T16:07:19Z","title":"Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders","version":3},"cited_work":{"arxiv_id":"2407.14435","doi":"10.48550/arxiv.2407.14435","metadata_source":"pith","pith_arxiv_id":"2407.14435","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders","venue":"cs.LG","work_id":"4fd59f7a-f0c8-4d33-a3c8-cb7ca660cb17","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/2407.14435","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:80391654ae0117ddaa3e52641219a36d5cfdeb9242a4817f130062cb81e6d5c0","observation_id":"a74c71cc-6b9e-4dc3-823f-fc61655aa2a1","resolution":{"observed_at":"2026-05-18T19:01:45.810690Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The linear representation hypothesis and the geometry of large language models","venue":null,"work_id":"9a1d421b-9989-4128-83fa-067c99041c70","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:9ae319028f903ae760d8d9affd8e0b8df5a2bf48191da609203e0e844e5c2a40","observation_id":"88201636-0630-4aeb-abba-55d34788a8c7","resolution":{"observed_at":"2026-05-18T19:01:47.066967Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T09:54:51.136211Z","title":"Scaling monosemanticity: Extracting interpretable features from claude 3 sonnet","venue":null,"work_id":"9fba175e-21d9-4d47-8581-a48e36027f08","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:59d2b6afb168ea759acb35915ca46901d984aa35f9323376d86f781ef100e477","observation_id":"3acad025-17b8-4b21-b5c9-3fb7c621257d","resolution":{"observed_at":"2026-05-18T19:01:47.071986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gemma scope: Open sparse autoencoders everywhere all at once on gemma 2","venue":null,"work_id":"c346b3ef-5888-453f-88e3-07c7c6616cf4","year":2024},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:b36b8b173e7caae2cf4f618090d243085eb138db9de8d8f45eb3cc410b54c8a9","observation_id":"92b55590-ceb1-4681-a96c-f7fc74c89a4a","resolution":{"observed_at":"2026-05-18T19:01:47.095927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T09:54:51.133397Z","title":"Scaling and evaluating sparse autoencoders","venue":null,"work_id":"c85c7948-028e-4eb7-af6a-604d63b32831","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:0466649af92e1389a98225fc14dc6a8bfa14e5185ae366e3c974d986cf0e0cfb","observation_id":"4fbdf2fb-08ba-4e0b-b284-5cbb72f1f261","resolution":{"observed_at":"2026-05-18T19:01:47.153130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12892","last_updated":"2025-05-23T18:07:04Z","snapshot_observed_at":"2026-08-19T19:09:47.609097Z","submitted_at":"2025-02-18T14:29:11Z","title":"Archetypal SAE: Adaptive and Stable Dictionary Learning for Concept Extraction in Large Vision Models","version":2},"cited_work":{"arxiv_id":"2502.12892","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.12892","snapshot_observed_at":"2026-07-04T02:49:25.399069Z","title":"Archetypal sae: Adaptive and stable dictionary learning for concept extraction in large vision models","venue":null,"work_id":"c2a41b7d-f4da-4559-b164-4d502a9ee236","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/2502.12892","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:6e44a43ac2e3fc58b9dc319126d9640c3e2d0bfc20a17b74a2f4884669f879af","observation_id":"2b11c4a6-e61b-46d8-b002-d9d5b70451f3","resolution":{"observed_at":"2026-05-18T19:01:45.819367Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T09:54:51.078535Z","title":"Sparse feature circuits: Discovering and editing interpretable causal graphs in language models","venue":null,"work_id":"ec60203d-ba51-478e-9956-fbb7b2cb89a3","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:acb4072441e16a9065728dafb51fc02c2fa9ed21e0474eb1c7f00d25a5c464fe","observation_id":"3dd738ff-9c72-4855-aeee-2f5741092f89","resolution":{"observed_at":"2026-05-18T19:01:47.022763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"SAEBench: A comprehensive benchmark for sparse autoencoders in language model interpretability","venue":null,"work_id":"94794905-0cb4-462f-af9d-d53095211efc","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:737fb055d67014babc7045ce1a0d56c1adb3b99fa07b4a6ecd0aeda1fb63ab70","observation_id":"9fa8ac97-0085-4e0f-ad78-e32e9e07f15f","resolution":{"observed_at":"2026-05-18T19:01:47.025354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"19334be4-7e48-46f8-92db-c8eff97f16c0","year":1993},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:3fe95e95b1feddcc8ff09277d50973e973f5b4595f17fa9e5d43e58a1082e6d7","observation_id":"1139fa81-f2ba-48a9-861f-950f273f4df8","resolution":{"observed_at":"2026-05-18T19:01:47.032565Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hastie, R","venue":null,"work_id":"42054820-4c08-47a2-b458-b2f58b08d950","year":2015},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:1a9568e32b2dd8c0e1214b3fc8d44b1d1034f10751ffc7806957391f079034aa","observation_id":"942bea03-0c7f-41c4-b3d2-00f8163420a0","resolution":{"observed_at":"2026-05-18T19:01:47.011593Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Compressed sensing","venue":null,"work_id":"b891416b-15c5-4761-a86e-75b5a508747c","year":2006},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:e449d73d5d7f83e0724f51dc0fe55814884f101cbf48d4f1b5373d9eec412507","observation_id":"ae25c74a-319a-4636-8313-6af2b8c9da46","resolution":{"observed_at":"2026-05-18T19:01:47.019758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Robust uncertainty principles: Exact signal reconstruction from highly incomplete frequency information","venue":null,"work_id":"69f9527f-0edd-4aad-986f-b4ba065449ad","year":2006},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:5855610d3a1d30778218c7d26417b3d0ce8201421eeba3b933feec72c284ea49","observation_id":"adb7cd56-e93d-49b4-8d7b-cff3d8b69eda","resolution":{"observed_at":"2026-05-18T19:01:47.035655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An introduction to compressive sampling","venue":null,"work_id":"3d4f2637-eb37-4eba-b6a7-a45ba1bef1a4","year":2008},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:2405e759b6208d6798377d93777b671fb8f3bcf32616ea6cec61263a4b074de8","observation_id":"6a4ef2d4-b3d9-4743-ab44-d8b2229d533a","resolution":{"observed_at":"2026-05-18T19:01:47.006589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Estimating unknown sparsity in compressed sensing","venue":null,"work_id":"3ceea106-3671-4a34-9d5a-43d71afe5819","year":2013},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:1efac1c69a8168a5740cd5ccb53e06661199f1612c95d7e000d64385c59a8e5c","observation_id":"91d777dd-294d-4fb9-8de6-f731ab05a340","resolution":{"observed_at":"2026-05-18T19:01:46.998794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Online dictionary learning for sparse coding","venue":null,"work_id":"004e722e-2dd9-4247-b8a3-7cf0f887cd65","year":2009},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:032e10b96ab15bd462ad07d21c3dbc8db0fd5301fb7c192c011ca0cb571c5300","observation_id":"a428011d-3eed-406e-8f9a-ed4c00b99ec1","resolution":{"observed_at":"2026-05-18T19:01:46.993350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning sparsely used overcomplete dictionaries via alternating minimization","venue":null,"work_id":"4fa7087c-b530-45ee-a2b4-9376eebad6b9","year":2016},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:162c3d5bd22556a7078f2d68e863781fafdf40d4e45db8bbec77f0d1b8d2239d","observation_id":"cc5f6071-4332-4303-a611-4b2ff83a3fc0","resolution":{"observed_at":"2026-05-18T19:01:46.996113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.03634","last_updated":"2019-07-30T23:29:38Z","snapshot_observed_at":"2026-08-15T15:34:56.204147Z","submitted_at":"2017-11-09T22:55:35Z","title":"Alternating minimization for dictionary learning: Local Convergence Guarantees","version":4},"cited_work":{"arxiv_id":"1711.03634","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1711.03634","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Alternating minimization for dictionary learning: Local convergence guarantees","venue":null,"work_id":"c2bc7cc3-9609-4187-89d4-0e4b59c552b8","year":2017},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/1711.03634","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:5555cb16428a9e32e9f60958979d4a365a2947bc82a852e4ffc309021af19f07","observation_id":"65dfc4a4-05b6-470b-8ef7-3cc03a5b4275","resolution":{"observed_at":"2026-05-18T19:01:45.793502Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Tolooshams,Deep Learning for Inverse Problems in Engineering and Science","venue":null,"work_id":"82052bda-3840-45b9-a452-42894fc4ff90","year":2023},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:8e8b5a8250e8a8534e65c398cde7b7c12abb0d87b728e61f190ce71e5e8ffbc5","observation_id":"5f304319-2e91-41a8-b182-27ecfc7d0c58","resolution":{"observed_at":"2026-05-18T19:01:47.003841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning fast approximations of sparse coding","venue":null,"work_id":"c5143683-9e49-4ce4-8566-2bc1281f1fb4","year":2010},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:4b85fd838e75bf8a68f287d8708473400458924e2e8eb6f544a2bb517dadc8c6","observation_id":"7c939d1a-8080-4486-b666-363cf2b2f927","resolution":{"observed_at":"2026-05-18T19:01:47.037973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning step sizes for unfolded sparse coding","venue":null,"work_id":"467a9b5d-e6b2-459e-a655-0af3ee9d2281","year":2019},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:09489d436025cb657230ac977f8e7ad83f74624e76f794399a0d322101276d4d","observation_id":"53089542-d5ee-4973-9372-a961e59c5392","resolution":{"observed_at":"2026-05-18T19:01:47.141953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Understanding approximate and unrolled dictio- nary learning for pattern recovery","venue":null,"work_id":"d109437e-58f3-4a0e-bfc8-bdbe1e73b11f","year":2022},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:300e31f2863e08507f807e2cf7916314bd9d3d9fbadaf07cd5e0ed5b413fa70f","observation_id":"843ea1a1-5479-4b96-910f-22e5b010c69b","resolution":{"observed_at":"2026-05-18T19:01:47.133655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Stable and interpretable unrolled dictionary learning","venue":null,"work_id":"40394bc2-8f59-4fd4-8c2b-ab85e75a5130","year":2022},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:92422a106e03a7c8b6ff8858d2c8c47b6cdddecd7e1058ed94b9d3c79d93d869","observation_id":"11e26938-5e76-40e1-859b-c58c454c24b7","resolution":{"observed_at":"2026-05-18T19:01:47.136235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On the dynamics of gradient descent for autoen- coders","venue":null,"work_id":"52382c20-a494-418a-a317-f4dd34c3eced","year":2019},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:be685b538698df491be340a5bb8048a8bc8ae4b4bf52d4239e428263e4e6fdf3","observation_id":"e91e639e-5714-4452-b1c7-8baaea625f55","resolution":{"observed_at":"2026-05-18T19:01:47.144871Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Simple, efficient, and neural algorithms for sparse coding","venue":null,"work_id":"b94e69b1-63f4-4c3e-aae8-8d599c41d970","year":2015},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:2899c0b8e524964beb1ce2f675847282edc81f1091c57776ea70ebfaf20b53ea","observation_id":"09e36e81-1dfe-4f36-9489-58d6b93bd3b7","resolution":{"observed_at":"2026-05-18T19:01:47.150289Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Theoretical linear convergence of unfolded ista and its practical weights and thresholds","venue":null,"work_id":"ebfbf04b-12c1-4edc-874a-eeb09493dae3","year":2018},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:9b84850e500aab15b9a645c31f09ef337c536e01c0fcf58dc645a2128a75d115","observation_id":"6b9dc672-2270-470e-b70e-2406a1354951","resolution":{"observed_at":"2026-05-18T19:01:47.158988Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sparse coding and autoencoders","venue":null,"work_id":"42c198ad-650a-494b-9c0c-68509c823775","year":2018},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:0d102dc66a5a0a816b9d80b5f121cd632aeb782df4511098162ca56c4ff071f8","observation_id":"17b86caa-5a93-4454-ab67-38a3f8a24e4b","resolution":{"observed_at":"2026-05-18T19:01:47.138803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Convolutional dictionary learning based auto-encoders for natural exponential-family distributions","venue":null,"work_id":"2faaeec7-a3d0-463b-84a4-0db427835dfa","year":2020},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:57d92dec9c0957947edbd020a660b2ad9623fa79bbb169ed9ac6d123d72ac547","observation_id":"374682a6-b6cd-4cba-ac68-c9499b7df102","resolution":{"observed_at":"2026-05-18T19:01:47.009284Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Noodl: Provable online dictionary learning and sparse coding","venue":null,"work_id":"c687f6e6-f5c4-49bd-8e2a-e091ab8c61be","year":2018},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:dfec83f663878b7ef015ab70ee5ecf2f48385311cd6bb77c208d0e36d31a1029","observation_id":"6028c485-34de-4ec3-99f9-2eb5ab93e7b4","resolution":{"observed_at":"2026-05-18T19:01:47.014334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2503.01822","doi":"10.48550/arxiv.2503.01822","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Projecting assumptions: The duality between sparse autoencoders and concept geometry","venue":"ArXiv.org","work_id":"c51ccfea-ce86-4736-b43a-2c912cd075f9","year":2025},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:844fc3254ba895ef1aedf54ee82491931a757bd5efd334b90a4c88755f1cefa6","observation_id":"046054d5-ba97-448b-8df6-eb70d66c874a","resolution":{"observed_at":"2026-05-18T19:01:45.797623Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Elad,Sparse and redundant representations: from theory to applications in signal and image processing","venue":null,"work_id":"3813d512-c686-43dc-98ee-e164b12b3259","year":2010},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:f76cb7485639f2fa75f16a6f46ed3ff4b4b58bb79799618806ab48d3150fff89","observation_id":"a0a14a14-c863-42f7-b9ef-0f971c36b420","resolution":{"observed_at":"2026-05-18T19:01:47.041403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"K-svd: An algorithm for designing overcomplete dictionaries for sparse representation","venue":null,"work_id":"739ec0af-59a8-4353-bc9a-b62fa490d0f1","year":2006},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:b0773c6b6ff76f0e14bd7939d664602d76a8b44c5b4ddab1c41b62e8c27c4788","observation_id":"7cf248c1-224d-4f6f-8b01-d202746f5b6b","resolution":{"observed_at":"2026-05-18T19:01:47.147614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficient generation of transcrip- tomic profiles by random composite measurements","venue":null,"work_id":"5b0f0486-0596-47cc-9b8f-64c5792195e0","year":2017},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:d2b9715c132e5b06ddcdf22d0f7538ede73d4d4e742752d97345befd3d026ef8","observation_id":"8f47fd64-2717-4723-91cd-8123329d5a70","resolution":{"observed_at":"2026-05-18T19:01:47.156069Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Compressed sensing for highly efficient imaging transcriptomics","venue":null,"work_id":"d67d7e96-ac1d-420a-a51b-291693bac8a0","year":2021},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:0d165b37c4b19ab2198e08a5dd2f7be3731a921a71273a5364f9c78ab90a6cbf","observation_id":"9c00df6f-e861-4f7c-9d57-a53b47ac0db9","resolution":{"observed_at":"2026-05-18T19:01:47.161447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Regression shrinkage and selection via the lasso","venue":null,"work_id":"304e65cd-c64c-4152-866b-9b000b476313","year":1996},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:460f8ff5ddbaeeee18b6960f3ab1f60348f571f7e79694b8d051b14244c74d0a","observation_id":"9715b89c-92f9-40a3-95b8-79ef74c4417f","resolution":{"observed_at":"2026-05-18T19:01:47.126328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Atomic decomposition by basis pursuit","venue":null,"work_id":"72c2793d-5a10-4eaf-a39d-2fd878290521","year":2001},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:a2710402984d2a6530fab27b6bdad7a7aa23f705432a146bdb4424911e2082f0","observation_id":"5cf4d8c6-885b-4dfd-882a-6108c655a155","resolution":{"observed_at":"2026-05-18T19:01:47.173033Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Proximal algorithms","venue":null,"work_id":"6c1a867d-047e-4a32-afe7-0788f1db3a55","year":2014},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:38df2a6ce8a4714e729a6f53b5c083f85e569fa62f1a96f288fb21393c83a3cc","observation_id":"2b4af22e-c625-44a6-981c-9a261d04fc59","resolution":{"observed_at":"2026-05-18T19:01:47.169748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An iterative thresholding algorithm for linear inverse problems with a sparsity constraint","venue":null,"work_id":"2c463ea5-7114-4580-bfd8-a68f0debd18a","year":2004},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:66e6a3103ca0aa0641cedfcf402156727d9676a882c700bb326577f496e20cc5","observation_id":"cb943835-ff9f-4f1a-8519-5b404bf94b4d","resolution":{"observed_at":"2026-05-18T19:01:47.119417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A fast iterative shrinkage-thresholding algorithm for linear inverse problems","venue":null,"work_id":"d755ad54-f8e8-4b90-ac05-3a31a7cc2c2f","year":2009},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:411a3ca20c155b1d9f20587f0af3dc9f3f62baa1d791bd273b3a681d2db686b7","observation_id":"d4041c8b-b494-45d8-b5c3-565b0c682cc8","resolution":{"observed_at":"2026-05-18T19:01:47.122854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficient learning of sparse representations with an energy-based model","venue":null,"work_id":"024cdbc2-7e7b-41b3-8858-163832d87b57","year":2007},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:a266f118f27c40e190edd9975e0c8ce2d32540286a22dff373c53439acf79523","observation_id":"3b21f6bb-e06d-4975-88d5-0c4a57410bc6","resolution":{"observed_at":"2026-05-18T19:01:47.129250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sparse feature learning for deep belief networks","venue":null,"work_id":"2cd3e3ac-363f-4c35-8c49-e1999674160b","year":2008},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:e199202170c6959a6f82ab7bef0e330397d31ac7fe50c84c6ff1025eae4e1717","observation_id":"a1edfa21-419f-408a-b562-73453575e015","resolution":{"observed_at":"2026-05-18T19:01:47.176080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.2574","last_updated":"2014-11-20T01:52:53Z","snapshot_observed_at":"2026-08-15T15:07:50.603550Z","submitted_at":"2014-09-09T02:31:11Z","title":"Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures","version":4},"cited_work":{"arxiv_id":"1409.2574","doi":null,"metadata_source":"pith","pith_arxiv_id":"1409.2574","snapshot_observed_at":"2026-07-03T10:58:03.424150Z","title":"Deep Unfolding: Model-Based Inspiration of Novel Deep Architectures","venue":"cs.LG","work_id":"9783361d-f9f0-4955-9bad-4216e6581b19","year":2014},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/1409.2574","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:3b0357c05c75c2de62b09e4c03574ef1684bd1d69900fe6b0849a048af5a0dcd","observation_id":"4963712b-829f-4cba-bd82-e527567e020d","resolution":{"observed_at":"2026-05-18T19:01:45.823687Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Algorithm unrolling: Interpretable, efficient deep learning for signal and image processing","venue":null,"work_id":"64a81f76-8fac-46a5-9bb9-d796fe3d7985","year":2021},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:f58b5f664952243f2351edb370e1b8147ff4161884d446463db939e402f760c5","observation_id":"6b909e7e-c414-4cc4-9faf-71d5c29196ca","resolution":{"observed_at":"2026-05-18T19:01:47.113287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Convolutional neural networks analyzed via convolutional sparse coding","venue":null,"work_id":"5e2714de-61de-47dc-b032-f6ad03def138","year":2017},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:f15b8d460568c1152d9b0b1b8ac74c29ddb40d05fb804d775adcba3bf8360cd3","observation_id":"a6038926-cbd6-41b8-a15a-c315b877dc0d","resolution":{"observed_at":"2026-05-18T19:01:47.164295Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Working locally thinking globally: Theoretical guarantees for convolutional sparse coding","venue":null,"work_id":"e66e82ec-607e-44be-bdf7-a80cf30a27e6","year":2017},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:6f3abf270a535af52d86e77d58ebb59f8ab33a37faf35b28998a20a9a456b274","observation_id":"1e915e33-6d29-4366-b23c-88a9aab79771","resolution":{"observed_at":"2026-05-18T19:01:47.083522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deeply-sparse signal representations (ds2p)","venue":null,"work_id":"af79b0f8-628d-4bd5-a84b-32636dfc9c03","year":2020},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:0b22623692d3cfb2ea4f1f02405574edd013a2c0caaa52ba13d1e8437e249267","observation_id":"28e8d3e5-35d5-4395-8e4d-60e959df2a01","resolution":{"observed_at":"2026-05-18T19:01:47.086357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.08608","last_updated":"2017-03-02T19:32:10Z","snapshot_observed_at":"2026-08-17T15:51:42.391912Z","submitted_at":"2017-02-28T02:19:20Z","title":"Towards A Rigorous Science of Interpretable Machine Learning","version":2},"cited_work":{"arxiv_id":"1702.08608","doi":"10.48550/arxiv.1702.08608","metadata_source":"pith","pith_arxiv_id":"1702.08608","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Towards A Rigorous Science of Interpretable Machine Learning","venue":"stat.ML","work_id":"45958f3f-1e35-4e8a-8ed0-e3989a6c8be5","year":2017},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"cited_paper":"/paper/1702.08608","citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:d2db77f0045c4eb80ed65affa22ce7f844173104eda3557de045a4b05119db17","observation_id":"6434c794-abd4-472f-9552-6b4795f59be1","resolution":{"observed_at":"2026-05-18T19:01:45.801934Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-04T01:08:05.309026+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-04T01:08:05.309026+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c6b42c96-8a7b-4135-8561-35833f343979","year":null},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:2b7081898f4f1a4e329e4803f950e622f6ed220d0e18790d760e5e4be59c4ee2","observation_id":"99ad64ff-9630-4841-b4a2-70d13a24130c","resolution":{"observed_at":"2026-05-18T19:01:47.077786Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"343b7d07-f7a2-49c0-8086-a07f8f82aaff","year":null},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:52fe99bad4a818617a3fe0dff949c9d842873d70b685dad0362fa75b25b9ab21","observation_id":"6df7d218-c83e-48e8-ac94-068159427a79","resolution":{"observed_at":"2026-05-18T19:01:47.069354Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"1f090990-9067-44a2-99e6-8c8d856780ea","year":null},"citing_paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators","version":4},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-18T18:59:02.109441Z"},"links":{"citing_paper":"/paper/2509.03738"},"observation_digest":"sha256:958c86fe4442876d382e44f9762d05e8d791863fcf3f613e917709890fcdb661","observation_id":"eb0a8d57-e6c8-45ad-803c-3a30c2222998","resolution":{"observed_at":"2026-05-18T19:01:47.080496Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2509.03738","last_updated":"2026-05-07T18:16:13Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T15:39:47.712770Z","submitted_at":"2025-09-03T21:57:03Z","title":"Mechanistic Interpretability with Sparse Autoencoder Neural Operators"},"reference_resolution":{"displayed":75,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":11,"verified_fuzzy":60},"total_outbound_references":75},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2509.03738."}