{"as_of":"2026-07-22T21:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4e4f38309448683e91f08cc33e43d7d715e2475f23df4f06d51c6eb31c2f402c","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":"2026-07-22T06:31:00.163083+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":"2026-07-06T22:23:10.158908Z","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":"2026-07-11T23:19:06.011239Z","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:b98172f9618ac9bbdce10086dc4268cf9fae926cf1fbbf4cc7fa1bda8e9ad911","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:de13fc1b3684677f596857c152f7bc8e16314fb315595f69d6bda18c3a8a48e1","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:e67aa434f7d49f1a240228e6af0c68c08a6ac335901060ecaeb96e859dc131b8","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:a9f6ed948a06090618574e5fec20639b21c42023ec25e121dc9f102050db45b1","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:93daa3f74b10fa532aff4fd460f258f1c52ebf8354abd5ccd5d8b85e6988255b","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:e53c22db704f0b9eaf8a0c7c60c504c303a16137f5f993bab5f191a74bbe020b","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:e152fa3829681c8c81f5be480351644d9afb796e3ddb180a4a5c9e14b257aa4a","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:797ca8a6541c07427f7c1dd0fd7ee36dc29cb8b8ac48de2e66f1003d194a731f","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:e374cfc341e9318d6b019293e24dff1d3a0c56e3203cc3111b3f4dd71bbc043e","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:dde75ca7330147ece8d07918f69bfc944b324a8ab03c945d1785f96aab4d3903","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:ac4a1f72df1846d57c07dbe8e9634bcb1f3c5ad04fea4436670dff1e875c9d3f","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:36447a3db7c4e320d09dccec664de4ee17c218ec515f2cd44fd045eb7b1b9269","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2003.03485","last_updated":"2020-03-07T01:56:20Z","snapshot_observed_at":"2026-07-06T09:02:56.891939Z","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":"2026-07-10T06:15:00.866473Z","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":"2026-07-06T22:23:10.158908Z","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":"sha256:6f789f78c32317e3bbd5946ce48165ac65e3565bc56eb027f8a040d860a580b6","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+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":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:4771580a7e8c0ab123c11f286a107efbc6d6e600aec73dbdbd6a2b544bf32948","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:5ad7c700634107e96073fb19ae380c25ea28445fd129f67ee97938b8f3e367c9","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:1079101e09e991c08fdf877feb430d33e6e885c5d220ae6b1cb7e7cd1421025f","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:0031e54ad5eec007733a890781c9f5e934afd5a1da423ea81548d91a2772d78a","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:968795d1c84527cfd847bcd4ac204eaed6115ce6ad087dadf4643da315b64b21","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.11214","last_updated":"2022-02-22T22:19:35Z","snapshot_observed_at":"2026-07-06T12:40:37.114247Z","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":"2026-07-10T16:17:21.665774Z","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":"2026-07-06T22:23:10.158908Z","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:b772cf8b82aef020ef4cb25215bb36e398e60fa949edbb00f65e0bccef11fc0e","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:62b74f3685bbea34dcd40ac78ad63d2b9f247da498c905c5b175f929d4bbde9d","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:fe291772d66335464146e9f04e7016e3c54b42420e6a32bb892868222dd9b66f","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:7aac5206875f263c95b6bf2d42b41cbe98ea36a8267341725d2118a6c5bcdd25","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:81fd633d6417a4713f9e3315661917785af71e919feb9945ecd4f2da03c24c37","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:29e28f140a4bfd1dfb5e501f4f3eb59f0d9ee916e38c66aaa9e76a79d0f6064b","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10652","last_updated":"2022-09-21T20:49:26Z","snapshot_observed_at":"2026-07-06T13:54:56.779166Z","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":"2026-07-10T13:57:06.883449Z","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":"2026-07-06T22:23:10.158908Z","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:c15b58d8f0e749e50c267662aa72b8b2f3749be5eaac58a487a5a7ed5503d81d","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:e5a6fc58ed4f94db1cf3b753025fd5ab2e925cdb328bb824becf79096bf112ad","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:95368020237da33261521241b7a7d978320222007a1b6699dc7c36cfff2ac46c","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14435","last_updated":"2024-08-01T17:42:04Z","snapshot_observed_at":"2026-07-06T18:49:06.836479Z","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":"2026-07-10T06:15:00.866473Z","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":"2026-07-06T22:23:10.158908Z","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:b0177a33f36e24a65ae2ce64994712fc34b8be6917137208223a7a32a2ca6ae1","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:809b9289d85d2db8093581617ca3573b04786bcc9413f8caded1cc516c588810","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:705736cbfa756f4a9966941e2c42234aa4f118827b2fb7ce3c9ba4e9bebffee0","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:704d704b72f9d8e4bd1c802a8bfc8a63210ade224f81c8535d83a2fd7d85438f","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:58750855a6636645fecd701de71d832bd185c223617b23cea4e72bf196391e46","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.12892","last_updated":"2025-05-23T18:07:04Z","snapshot_observed_at":"2026-07-06T20:38:38.495334Z","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":"2026-07-06T22:23:10.158908Z","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:c1d5de6a29690cca6695dab04d888d02c40cafad60a27239db1bc7b0654bd1ff","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:aa2b4cd31f2f45ddf3beb8c557a9f2527fd03ee5d223086e0a60d0347ea33fad","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:114c2597abec7aaf251dba534d207ef381da01d0677864698d512bba2ca9c0d9","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:3e658c5d94781d777d1364b59ebc92277880bf54f798dfbea6d345606f39e80e","observation_id":"1139fa81-f2ba-48a9-861f-950f273f4df8","resolution":{"observed_at":"2026-05-18T19:01:47.032565Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:ff75a87144456e61c0c2ca24e24c854be5f29dbdedff85a6a99ec2afb06ffbae","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:8ef5daaa61c95fdb6dfd87c64cd6edc69f67bc850d9ae52ad29a0f2458e010e1","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:f08e0fe590a5d3f2dcfa510595615aae168df20dcab2c98541c28e0f08b7a876","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:f1e3d806a442ac5b6e4ba5942e8b1099bda5e36ced1a22292c98a5caab2d9458","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:dd6ae86f6aaa464932ea9b61ae5c321c07defa059d8e79b61f32a04b8e2e0357","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:2e00a585f75734a57e0787a7d7a66501284d941a842fbe9bb82e8a62b993e04e","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:5979a26d79e92d51a49a22dc249ee6b28da7a6fbcf4ecee18a9f233c7e082fd6","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.03634","last_updated":"2019-07-30T23:29:38Z","snapshot_observed_at":"2026-07-06T06:08:41.171622Z","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":"2026-07-06T22:23:10.158908Z","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:bc0f81cf6b8ba49d29cba328e7987fee9db2b068e87182658cbdb5133e6962b8","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:1f6fee946d18f58c2101523fc37c26a23b6f0a01dd7576590b17b9dc2d8159e9","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:9dcc5b00b8deeb83126fb5b60ac190109de74c0f0198bb864872bdad6e40a6a3","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:bb1741e35e6f26cddeb92381f6b4a02f6d8b8c1f016b5cae4a1c6932c569b3c7","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:055d5361f25a950cbf0671152dd2bbca832ea77cd13bcdfd7a96ef852cd1724d","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:9c993e343ea30d33bc3b4f563580b006b31f14b98cf4c0d69d6788888113c844","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:f344988ec39e352625fc322fbac4022ecb91e8f0ecd339de527575eda38bf561","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:56b1cdf7f8df3fb165e16af826c0753738522b9c667c69f91fc6d6cb9ff8dd7e","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:9f3caf02de636023f9f2f731bb6337daae8babcb058ce2b70b878f54b6f479c5","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:d2588564a2a2d4018c8c92ea03bcc37f591a8ce9867ae7d830656eddae3ba9d5","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:9213897223bafabddc9a0b663f66f5d2ec5636e1430d43e2ad5d2b4c64a652a2","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:208c7e94b928a12e108fb650f45e506faacf3cd44f2ada564edea185d370c0fa","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-10T12:15:01.137692Z","title":"Projecting assumptions: The duality between sparse autoencoders and concept geometry","venue":null,"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":"2026-07-06T22:23:10.158908Z","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":"sha256:778997cdbc3d5cf8b8b09939b4164cbb8baa79b793b37142d4cb71aa7b1be631","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:acba41d482c49f16066022390586791aed560690ea87af0fe17dc29a8a893b00","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:5bd6a7dc225bfbb33f42f263f3bbda44f46186fbd86e8f22ffaf81d686f08ef2","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:50cf55829fc8af815cbab25cd836b855164a6a4fe61e7c4940c766bedde8dd00","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:d595ca146bf59be6a7c18253f14304d483f387481b1ff5efe6396d153a506658","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:1173a483323b3f1e55196cf3ed5f27c854af48493c63fb3db00ababb8c7de13d","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:2cb8795e2b581b4148b54bba2d1dba298e212681f48c65dbc82625935d0cce79","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:3c6b1c98e0fe69d4f67a3c0f51581f0ba4d915641de3eca8e1ac04df066e9efe","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:0742c63d68680f3b94507cb0986a10515da9d251ed311dffa2b13ea30ec219b6","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:6b4fceee7b579ecd50d07eafb2bf00a5711aba95d8bffc7688a542d1ac460319","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:f3ca6de33bca6b0bbcaa358ebc5e6523f9abb51af1238628475cec6b5a03b32f","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:986b10990daced78b2b43470bc971f567715a7d5bc619c9753629d129ff2bd12","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1409.2574","last_updated":"2014-11-20T01:52:53Z","snapshot_observed_at":"2026-07-06T03:53:53.370958Z","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":"2026-07-06T22:23:10.158908Z","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":"sha256:1fc39c9d870e6a074b451e5d0f4453b0527ac58128105d1bd93cea56fe63bf4e","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:4520b32356ebe3efaafb5a1df58cc40bd22392cf465cfcc766759a4e4545876c","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:6f016eb64282945df85fe6fe7c9991ec47c4eeb668a61348fa852b3b44fcabc5","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:66264d3d3b7e3fa1eed124757f6e0af71d27e7615b044991dfbe79ceabf99089","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:a283678f0325af45a86622aea90ee9af5542eb07f79f05f0ad6146b76e9e1594","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1702.08608","last_updated":"2017-03-02T19:32:10Z","snapshot_observed_at":"2026-07-06T05:31:40.572534Z","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":"2026-07-10T23:27:38.065336Z","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":"2026-07-06T22:23:10.158908Z","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":"sha256:6b4e93edccd71a249c4b9ecd171382a942417a0bffc509e70feea6b05a7cf8d6","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 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-11T19:50:17.466884+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T19:50:17.466884+00:00","source":"openalex_status_cache"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:761b05c9b2dc2623f08ddf015992a8a0a52a06316e8f6e4997ed79396f5dee24","observation_id":"99ad64ff-9630-4841-b4a2-70d13a24130c","resolution":{"observed_at":"2026-05-18T19:01:47.077786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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:a0229c3fa0eae37dea592352c03befee2b842f0b10846dc7cf43a32fcd7fc2c6","observation_id":"6df7d218-c83e-48e8-ac94-068159427a79","resolution":{"observed_at":"2026-05-18T19:01:47.069354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":"sha256:9b4d5621a368bc621e54b86d0c8a055191ecec8e90ba9c0c7b5f660c59ec77bb","observation_id":"eb0a8d57-e6c8-45ad-803c-3a30c2222998","resolution":{"observed_at":"2026-05-18T19:01:47.080496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+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":"2026-07-06T22:23:10.158908Z","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":0,"verified_exact":11,"verified_fuzzy":64},"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":"2026-07-22T06:31:00.163083+00:00","source":"crossref"},{"observed_at":"2026-07-22T06:30:55.410749+00:00","source":"retraction_watch"}],"thesis":"As of 22 July 2026, this Paper Citation Record lists 75 of 75 outbound references and 1 inbound Pith citation observation for arXiv:2509.03738."}