{"as_of":"2026-08-17T01:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e3f0541ef84c85034609a6f664574e1329f3200a141e1be95505398cce53f17a","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T05:21:33.946749Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-10T14:55:02.013757Z","title":"Decomposing the dark matter of sparse autoencoders, 2024 b","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.14926","last_updated":"2025-02-07T19:22:32Z","snapshot_observed_at":"2026-08-14T20:11:56.886595Z","submitted_at":"2025-01-24T21:31:12Z","title":"Interpretability in Parameter Space: Minimizing Mechanistic Description Length with Attribution-based Parameter Decomposition","version":4},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T14:55:02.013757Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2501.14926"},"observation_digest":"sha256:32afb26148b0b6b937522f7b7ee2d8961e945b6b368087decc4fcd616f44a70a","observation_id":"012ba044-59ae-4167-98ad-600cc8c965b8","resolution":{"observed_at":"2026-08-10T14:55:02.013757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-09T22:24:53.839060Z","title":"Decomposing the dark matter of sparse autoencoders","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.18823","last_updated":"2025-02-12T18:35:15Z","snapshot_observed_at":"2026-08-14T07:35:37.362593Z","submitted_at":"2025-01-31T00:36:30Z","title":"Transcoders Beat Sparse Autoencoders for Interpretability","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-09T22:24:53.839060Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2501.18823"},"observation_digest":"sha256:b2ce73939884de4d1ef8f10b6fe47da919da5c92525795346f05ba4568fdf6af","observation_id":"1633fff6-25b8-475b-910f-d95bf28d11e6","resolution":{"observed_at":"2026-08-09T22:24:53.839060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-09T20:18:30.772296Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.19406","last_updated":"2025-05-27T06:39:54Z","snapshot_observed_at":"2026-08-13T23:14:44.272884Z","submitted_at":"2025-01-31T18:59:16Z","title":"Low-Rank Adapting Models for Sparse Autoencoders","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T20:18:30.772296Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2501.19406"},"observation_digest":"sha256:d83465871d473aecbaeb1687b69c6f1de0ba7cfa0469b71025fe08a9dce9d1c6","observation_id":"f170a4ef-3914-4a89-b382-f96b4e769f17","resolution":{"observed_at":"2026-08-09T20:18:30.772296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-16T05:21:33.946749Z","title":"Decomposing the dark matter of sparse autoencoders","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.20938","last_updated":"2025-04-29T17:03:03Z","snapshot_observed_at":"2026-08-16T06:20:39.953398Z","submitted_at":"2025-04-29T17:03:03Z","title":"Towards Understanding the Nature of Attention with Low-Rank Sparse Decomposition","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T05:21:33.946749Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2504.20938"},"observation_digest":"sha256:6b64dda4db9b205ccd3c57f67dec865b2327a3a44d0f10d608777b3070f3cdf4","observation_id":"d9265d54-85bc-4c3f-a5d8-568997fd9610","resolution":{"observed_at":"2026-08-16T05:21:33.946749Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-05T17:18:54.886073Z","title":"Decomposing the dark matter of sparse autoen- coders.arXiv preprint arXiv:2410.14670,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.16560","last_updated":"2026-07-07T00:22:17Z","snapshot_observed_at":"2026-08-09T16:18:10.268970Z","submitted_at":"2025-08-22T17:26:33Z","title":"Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders","version":4},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-05T17:18:54.886073Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2508.16560"},"observation_digest":"sha256:7093121166af46cba7db88d10e1ad978660001aac2813c64eb14fbef9100dfc4","observation_id":"ba039a99-074f-4e6d-bd04-a9cf50401773","resolution":{"observed_at":"2026-08-05T17:18:54.886073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-15T16:41:17.936229Z","title":"Decomposing the dark matter of sparse autoencoders","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02565","last_updated":"2025-09-04T17:55:36Z","snapshot_observed_at":"2026-08-16T14:10:07.883151Z","submitted_at":"2025-09-02T17:59:50Z","title":"Understanding sparse autoencoder scaling in the presence of feature manifolds","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T16:41:17.936229Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2509.02565"},"observation_digest":"sha256:120121e38a5c04372023ab824bf321754e03cf5692d4e78eb0e808a7c662aa8a","observation_id":"8bb8bc4c-84e1-4924-a341-2a32bc3368da","resolution":{"observed_at":"2026-08-15T16:41:17.936229Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-04T15:20:32.153769Z","title":"Decomposing the dark matter of sparse autoencoders","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.20784","last_updated":"2026-05-29T09:11:25Z","snapshot_observed_at":"2026-08-12T13:43:46.627802Z","submitted_at":"2025-09-25T06:13:05Z","title":"Towards Atoms of Large Language Models","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-04T15:20:32.153769Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2509.20784"},"observation_digest":"sha256:18ce0c2ee4c850fc060742d5f89a48b142cf27b5114a561f7971adcd0f8be074","observation_id":"97455bb9-7e02-4faf-8851-0e158bf16bed","resolution":{"observed_at":"2026-08-04T15:20:32.153769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-03T06:35:33.734993Z","title":"Gao, L., la Tour, T","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.22594","last_updated":"2026-06-11T01:15:40Z","snapshot_observed_at":"2026-08-16T08:01:54.323029Z","submitted_at":"2026-01-30T05:41:19Z","title":"Language Model Circuits Are Sparse in the Neuron Basis","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-03T06:35:33.734993Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2601.22594"},"observation_digest":"sha256:97d747903c1303a81838a510b948dcde2b23d15b00f11c324c54f04ea5ca77ea","observation_id":"c9e4dea8-2b9c-4f9b-a91b-ba74780cd0d3","resolution":{"observed_at":"2026-08-03T06:35:33.734993Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2410.14670","doi":"10.48550/arxiv.2410.14670","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decomposing the dark matter of sparse autoencoders.Transactions on Machine Learning Research","venue":"arXiv (Cornell University)","work_id":"7a3e7a9a-a112-4b80-8cf7-a49771806d4e","year":2025},"citing_paper":{"arxiv_id":"2604.14434","last_updated":"2026-04-15T21:24:42Z","snapshot_observed_at":"2026-08-13T14:52:23.722751Z","submitted_at":"2026-04-15T21:24:42Z","title":"Geometric Routing Enables Causal Expert Control in Mixture of Experts","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T12:53:48.734715Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2604.14434"},"observation_digest":"sha256:ab4f5fc37818f1f90bbcc87def064c530cc9b2478826fa74da53d559444231f1","observation_id":"66145f04-7d42-449b-94d6-cf1fc4382abc","resolution":{"observed_at":"2026-05-10T12:55:24.447325Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2410.14670","doi":"10.48550/arxiv.2410.14670","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decomposing the dark matter of sparse autoencoders.Transactions on Machine Learning Research","venue":"arXiv (Cornell University)","work_id":"7a3e7a9a-a112-4b80-8cf7-a49771806d4e","year":2025},"citing_paper":{"arxiv_id":"2604.18756","last_updated":"2026-04-20T19:00:09Z","snapshot_observed_at":"2026-08-14T07:51:40.546112Z","submitted_at":"2026-04-20T19:00:09Z","title":"Towards Understanding the Robustness of Sparse Autoencoders","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T05:44:24.532548Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2604.18756"},"observation_digest":"sha256:2a77b4c6368b19824aac8376dce2781c5b54b3344ff7dba01acbb096f2f11a27","observation_id":"f0f7a2e1-cdcd-4b49-816f-222aab32d683","resolution":{"observed_at":"2026-05-10T05:46:10.260696Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2410.14670","doi":"10.48550/arxiv.2410.14670","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decomposing the dark matter of sparse autoencoders.Transactions on Machine Learning Research","venue":"arXiv (Cornell University)","work_id":"7a3e7a9a-a112-4b80-8cf7-a49771806d4e","year":2025},"citing_paper":{"arxiv_id":"2605.09887","last_updated":"2026-05-11T02:24:46Z","snapshot_observed_at":"2026-08-10T21:12:45.476967Z","submitted_at":"2026-05-11T02:24:46Z","title":"The Geometric Wall: Manifold Structure Predicts Layerwise Sparse Autoencoder Scaling Laws","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T04:48:19.841691Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2605.09887"},"observation_digest":"sha256:15606aaaafcab52eabefc4c3779df1c459edbf02d28ffea13d2597824b335f00","observation_id":"86965ee6-2be5-435c-a672-b893d5dfd869","resolution":{"observed_at":"2026-05-12T05:56:25.282094Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2410.14670","doi":"10.48550/arxiv.2410.14670","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decomposing the dark matter of sparse autoencoders.Transactions on Machine Learning Research","venue":"arXiv (Cornell University)","work_id":"7a3e7a9a-a112-4b80-8cf7-a49771806d4e","year":2025},"citing_paper":{"arxiv_id":"2606.08365","last_updated":"2026-06-06T22:57:30Z","snapshot_observed_at":"2026-08-16T01:24:53.354645Z","submitted_at":"2026-06-06T22:57:30Z","title":"Pre-Intervention Prediction of Sparse Autoencoder Steering Side Effects","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-27T19:52:12.114493Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2606.08365"},"observation_digest":"sha256:ea52e7ce030580fda636554bb0e09c8f755446d39d101b1fcb8e5e3b1345a746","observation_id":"caef66f7-9eb3-42d5-a436-36c5585d830f","resolution":{"observed_at":"2026-07-02T21:17:24.466042Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":"2410.14670","doi":"10.48550/arxiv.2410.14670","metadata_source":"arxiv_reference","pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Decomposing the dark matter of sparse autoencoders.Transactions on Machine Learning Research","venue":"arXiv (Cornell University)","work_id":"7a3e7a9a-a112-4b80-8cf7-a49771806d4e","year":2025},"citing_paper":{"arxiv_id":"2606.26396","last_updated":"2026-06-24T21:26:43Z","snapshot_observed_at":"2026-08-02T16:34:16.438122Z","submitted_at":"2026-06-24T21:26:43Z","title":"At the Edge of Understanding: Sparse Autoencoders Trace The Limits of Transformer Generalization","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-06-26T01:27:39.812228Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2606.26396"},"observation_digest":"sha256:6048f2509a4e84290141965772178d30868c316f67a7f5b53c9b52f36d89b1ab","observation_id":"7e01dca7-254e-4075-9f3f-6ee9c11dac64","resolution":{"observed_at":"2026-06-26T01:28:50.562663Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.14670","snapshot_observed_at":"2026-07-13T05:35:58.568346Z","title":"arXiv preprint arXiv:2410.14670 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.08946","last_updated":"2026-07-09T21:15:40Z","snapshot_observed_at":"2026-08-14T00:00:10.480230Z","submitted_at":"2026-07-09T21:15:40Z","title":"Training, Reading, and Editing Legible Transformers","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-07-13T05:35:58.568346Z"},"links":{"cited_paper":"/paper/2410.14670","citing_paper":"/paper/2607.08946"},"observation_digest":"sha256:1e0e7881fb96e80b0734b08bb29a51dae9f9e0e9077830d01e2fe1be63430bc8","observation_id":"3f9cd5b0-6a26-4482-874e-895f1a4a35bb","resolution":{"observed_at":"2026-07-13T05:35:58.568346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.14670/citation-record","integrity":"/paper/2410.14670/integrity","json":"/paper/2410.14670/citation-record.json","paper":"/paper/2410.14670"},"outbound":[],"paper":{"arxiv_id":"2410.14670","last_updated":"2025-03-25T17:00:02Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:07:56.598647Z","submitted_at":"2024-10-18T17:58:53Z","title":"Decomposing The Dark Matter of Sparse Autoencoders"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.14670."}