{"as_of":"2026-08-10T10:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:362d646f5a941f3c2ebf0b4c25dd23192708630c69985be30e525d1c1ebffa40","coverage":[{"denominator":66,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":66,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T14:29:20.184050Z","state":"measured"},{"denominator":66,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":66,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.01803/citation-record","integrity":"/paper/2502.01803/integrity","json":"/paper/2502.01803/citation-record.json","paper":"/paper/2502.01803"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.777928Z","title":"and Berrada, M","venue":null,"work_id":"2d2a2bc9-0e74-4308-969a-edd8f5ab8b48","year":2018},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.854877Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:a5e0f4beb8ee40346923d4649c0878df1d171bd3546f9e7eb907ddd6f22aa2d7","observation_id":"7efcf0a6-6aff-4a5a-93b7-6dd30f62580e","resolution":{"observed_at":"2026-08-09T14:29:21.783285Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.560823Z","title":"and Srikant, R","venue":null,"work_id":"ae1a84af-185f-432e-8724-404aa7866332","year":1995},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.860283Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:ce58b843659db5d134c47ce32f5f666c6e8ad4183ec17cb4523667e0a87f709f","observation_id":"b070e9dc-1264-4cab-892c-7c30244be615","resolution":{"observed_at":"2026-08-09T14:29:21.565433Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:22.062551Z","title":"and richard baraniuk","venue":null,"work_id":"b15e154b-b352-4dc3-97dd-c80c18078a4d","year":2018},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.866573Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:a9285fad33dcf704caa718e6667266a3499b7598e32257c2273df94847527841","observation_id":"66837768-baa1-4d2f-a155-4e93eef9344c","resolution":{"observed_at":"2026-08-09T14:29:22.067483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:22.047099Z","title":"Revisiting model stitching to compare neural representations","venue":null,"work_id":"dbc90782-fafe-443c-a899-8dc81b6e762e","year":2021},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.871518Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:387c37044598a4b6ed336838eba0b6032e9333dbaea70275c68d066426151aa3","observation_id":"c3ee062c-1130-4ae6-8097-a030f11bc718","resolution":{"observed_at":"2026-08-09T14:29:22.052010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2005.13194","last_updated":"2020-05-27T06:42:21Z","snapshot_observed_at":"2026-08-10T10:14:10.977354Z","submitted_at":"2020-05-27T06:42:21Z","title":"Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation","version":1},"cited_work":{"arxiv_id":"2005.13194","doi":null,"metadata_source":"pith","pith_arxiv_id":"2005.13194","snapshot_observed_at":"2026-08-09T14:29:21.326565Z","title":"Extrapolative-Interpolative Cycle-Consistency Learning for Video Frame Extrapolation","venue":"cs.CV","work_id":"9412d36f-a5e9-47f3-b5cd-4b37f3382398","year":2020},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.876510Z"},"links":{"cited_paper":"/paper/2005.13194","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:813bc6a448006c12a63f79dc5d3dcbb58fb6a10797aa7886c235ed82d2b46b72","observation_id":"02e0968a-51dd-4876-8dec-803a85ef1707","resolution":{"observed_at":"2026-08-09T14:29:21.331812Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:19.882789Z","title":"Probing classifiers: Promises, shortcomings, and advances","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.882789Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:4dc74193b7b01c97584210d08e5746b30b257ed2592160d5a1b92dee72b64346","observation_id":"07c76f58-b83e-475f-a2c0-fc86cbd29b39","resolution":{"observed_at":"2026-08-09T14:29:19.882789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08112","last_updated":"2025-11-11T01:13:28Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-14T17:47:09Z","title":"Eliciting Latent Predictions from Transformers with the Tuned Lens","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08112","snapshot_observed_at":"2026-08-09T14:29:19.888282Z","title":"Eliciting latent predictions from transformers with the tuned lens","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.888282Z"},"links":{"cited_paper":"/paper/2303.08112","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:7a45452d59df94d2386f46e2dc197e71ccbbce0929b0c49be9d5f4028440cc62","observation_id":"7ff1b5f2-af71-4d6e-a97d-4b718668aa19","resolution":{"observed_at":"2026-08-09T14:29:19.888282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:22.031424Z","title":"Natural Language Processing with Python","venue":null,"work_id":"55e9645d-b5b7-4375-9b70-8415fe3307bf","year":2009},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.893049Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:f5d9f102ff52079b535a136ded8708b2a922d35ca0e8395d196ff071c46ade25","observation_id":"52f7c0a9-ed60-4d3f-bd66-4eafdf8d8fc2","resolution":{"observed_at":"2026-08-09T14:29:22.036673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.12241","last_updated":"2024-05-24T13:16:32Z","snapshot_observed_at":"2026-08-10T05:05:31.865492Z","submitted_at":"2024-05-17T17:03:46Z","title":"Identifying Functionally Important Features with End-to-End Sparse Dictionary Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.12241","snapshot_observed_at":"2026-08-09T14:29:19.897596Z","title":"Identifying functionally important features with end-to-end sparse dictionary learning, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.897596Z"},"links":{"cited_paper":"/paper/2405.12241","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:9fbb46a6a340d3eb262c4200358ec2e170c7aa8da2a4ad6dcd977ab6bfaad8e0","observation_id":"3d651152-f2b3-4eed-b1b2-4b3327006ce5","resolution":{"observed_at":"2026-08-09T14:29:19.897596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:22.016231Z","title":"L., Anil, C., Denison, C., Askell, A., Lasenby, R., Wu, Y., Kravec, S., Schiefer, N., Maxwell, T., Joseph, N., Tamkin, A., Nguyen, K., McLean, B., Burke, J","venue":null,"work_id":"16873e1c-0870-40ac-b0fc-f87dd0c54bc3","year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.902487Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:e0fa15659236539d7f2fe2d1ff6af8f0585a92d630a87af87f816285d6b8a05b","observation_id":"d4b5cf1c-079d-4a9f-9ede-78b0773e1a49","resolution":{"observed_at":"2026-08-09T14:29:22.021174Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:19.907339Z","title":null,"venue":null,"work_id":null,"year":1973},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.907339Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:557006ad28bc82a5caf3fdb4405abee96c6ebd69e3af9019ad8e406eba7b4a35","observation_id":"09989a47-da1e-4cb8-9f12-944613d996a2","resolution":{"observed_at":"2026-08-09T14:29:19.907339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.04478","last_updated":"2024-09-05T18:00:37Z","snapshot_observed_at":"2026-08-04T17:07:44.327819Z","submitted_at":"2024-09-05T18:00:37Z","title":"Evaluating Open-Source Sparse Autoencoders on Disentangling Factual Knowledge in GPT-2 Small","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.04478","snapshot_observed_at":"2026-08-09T14:29:19.912397Z","title":"and Geiger, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.912397Z"},"links":{"cited_paper":"/paper/2409.04478","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:503470fdb7bb7140c546728248c28d1f849329e2a3b41b6e7885d4ee765e684c","observation_id":"cd145a00-fa69-4d88-b94c-56fa3a5a03e2","resolution":{"observed_at":"2026-08-09T14:29:19.912397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:19.918443Z","title":"M., Cunningham, J","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.918443Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:2ba5ff866ae3f9323673f8284c6d6b3a14f68dad778acda3715972db52f41f8b","observation_id":"57c72e69-5e70-4105-bd25-a569b40a680d","resolution":{"observed_at":"2026-08-09T14:29:19.918443Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:19.923311Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.923311Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:0f0095abd1d18c0963338e0f38c08086d766440fe3b5b4666d1c7406bd12dbd9","observation_id":"b44bc800-13a1-465d-9fcb-31eb561be8a6","resolution":{"observed_at":"2026-08-09T14:29:19.923311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.08600","last_updated":"2023-10-04T13:17:38Z","snapshot_observed_at":"2026-07-06T16:19:05.495349Z","submitted_at":"2023-09-15T17:56:55Z","title":"Sparse Autoencoders Find Highly Interpretable Features in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.08600","snapshot_observed_at":"2026-08-09T14:29:19.927937Z","title":"Sparse autoencoders find highly interpretable features in language models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.927937Z"},"links":{"cited_paper":"/paper/2309.08600","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:65591461ec031c05a5c00b2b1aa3db4c77e784600057c8db64f19fd63f331d7b","observation_id":"96663b09-2834-4ad9-bf7e-b3e44299c077","resolution":{"observed_at":"2026-08-09T14:29:19.927937Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:19.933035Z","title":"Knowledge neurons in pretrained transformers","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.933035Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:1b52017c65579f3e4f2a224d5c1e586c24dc06695b6cd76dd56fdea9458f8848","observation_id":"98fccdcc-5331-46b1-94be-3815e8a24510","resolution":{"observed_at":"2026-08-09T14:29:19.933035Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.09435","last_updated":"2024-06-18T19:58:27Z","snapshot_observed_at":"2026-08-09T15:19:45.703513Z","submitted_at":"2023-03-16T16:10:16Z","title":"Jump to Conclusions: Short-Cutting Transformers With Linear Transformations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.09435","snapshot_observed_at":"2026-08-09T14:29:19.937977Z","title":"Y., Karidi, T., Choshen, L., and Geva, M","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.937977Z"},"links":{"cited_paper":"/paper/2303.09435","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:90bde843fb00688a61ee2923f0a184889892d368f6f7c4cf90508175c9884d76","observation_id":"f321c202-4323-47bb-baa8-e5ebabc897b9","resolution":{"observed_at":"2026-08-09T14:29:19.937977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09346","last_updated":"2023-06-16T04:36:31Z","snapshot_observed_at":"2026-08-06T04:23:03.557653Z","submitted_at":"2023-06-15T17:59:54Z","title":"Rosetta Neurons: Mining the Common Units in a Model Zoo","version":2},"cited_work":{"arxiv_id":"2306.09346","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.09346","snapshot_observed_at":"2026-08-09T14:29:21.227227Z","title":"Rosetta Neurons: Mining the Common Units in a Model Zoo","venue":"cs.CV","work_id":"ad653077-1685-4ff8-b791-deb20caa893e","year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.943110Z"},"links":{"cited_paper":"/paper/2306.09346","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:5e0ea1afac9b06d6b916cb12ded36b90b9fb163a757e8d742310dae55ce28505","observation_id":"169773b4-a713-4538-af6b-796b8a155b6b","resolution":{"observed_at":"2026-08-09T14:29:21.232332Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-09T14:29:19.947995Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.947995Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:2abdb132f2beea5403076746fdac8c5ebea7fe892a07fb1c4c1185f15c702273","observation_id":"61846485-8ea2-4ba0-b730-e707f479e9b3","resolution":{"observed_at":"2026-08-09T14:29:19.947995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.3758/bf03197595","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Memory & Cognition","work_id":"c31b98a5-84d1-470c-a348-5c41972a26a8","year":1979},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.952596Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:8c26a89d5c75c4679a06ac6e82c3b280adffbd17bbf43c925c4dd504affb2501","observation_id":"9d3001be-5e40-4c7a-a3fc-02dda5980600","resolution":{"observed_at":"2026-08-09T14:29:20.370089Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.989556Z","title":"Toy models of superposition","venue":null,"work_id":"f7cb2ed1-2535-442a-a879-2ffaaa4cab45","year":2022},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.957842Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:6a42dc274ed8581d16d8cb86d41ab10eec884e2a7554849f9441448309501022","observation_id":"e7918a9b-f85b-4ed3-8c93-1dc7bf4e6cc7","resolution":{"observed_at":"2026-08-09T14:29:21.994334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/s0272263100014698","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Studies in Second Language Acquisition","work_id":"fcf62c87-4a57-4d47-9f7c-369cd34a7cff","year":1996},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.962383Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:afbf68b3cd8e2ee4ef9fcfd24bfda18b9af6e9bd7327ab9f4a45a68999f5e872","observation_id":"abfcacb9-04ba-447c-8442-e2a8b1c51414","resolution":{"observed_at":"2026-08-09T14:29:20.354301Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/35094565","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"K., Fries, P., and Singer, W","venue":"Nature reviews. Neuroscience","work_id":"99a215ae-191b-4181-8a47-fadd1c94f38b","year":2001},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.966855Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:0597ba5b7dafde52a95e6837712d0edc8796b11eec3fbf6501495860cb36d080","observation_id":"480f21a0-9fe8-46a3-9d28-0c7c60cbae63","resolution":{"observed_at":"2026-08-09T14:29:20.339065Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.975083Z","title":"A new algorithm for data compression","venue":null,"work_id":"fd6ec049-2191-462a-8dbc-512ef2630c58","year":1994},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.971337Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:6cb4085bc286e5bcabba503c341128206f986425a5e7621a09ff0e4cf2e96b75","observation_id":"29983ea5-7a96-42ee-ae07-fc9430cc046a","resolution":{"observed_at":"2026-08-09T14:29:21.979751Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.14680","last_updated":"2022-10-12T18:01:23Z","snapshot_observed_at":"2026-08-03T05:22:23.916601Z","submitted_at":"2022-03-28T12:26:00Z","title":"Transformer Feed-Forward Layers Build Predictions by Promoting Concepts in the Vocabulary Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.14680","snapshot_observed_at":"2026-08-09T14:29:19.975651Z","title":"R., and Goldberg, Y","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.975651Z"},"links":{"cited_paper":"/paper/2203.14680","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:c4e29e080ca297902477a0211ee1cbaf2a8ff261d554edc389b0e8563a392a8e","observation_id":"d6b65468-dff1-4fe9-9a1a-4979f1a2c2c7","resolution":{"observed_at":"2026-08-09T14:29:19.975651Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:19.980527Z","title":"C., Croker, S., Cheng, P","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.980527Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:4a251b6c9f8938bc06b9d626ce2c8b8e37cf633a53acd8082cf28400317c9890","observation_id":"6e5864f0-66db-4c44-b0b0-dbb930300978","resolution":{"observed_at":"2026-08-09T14:29:19.980527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.959590Z","title":null,"venue":null,"work_id":"83328bbf-cafc-4fd2-92d4-f6a56fc96ec2","year":2021},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.986769Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:110c5235be6018f9053b13b3557ffc63ba8d71d45ec7837cd1b6a239641141a9","observation_id":"cf0612a7-c5c1-441c-b35a-940d57a1c3ab","resolution":{"observed_at":"2026-08-09T14:29:21.964848Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.174773Z","title":null,"venue":null,"work_id":"e7fad969-d4cb-4c8f-b88b-85c29bef1ee0","year":1998},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.991198Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:1ad87a530dbe32711195afb3530f506ffa86b56889eaa3db8b6ebea7b761b978","observation_id":"7c387eea-3d9d-49d4-b813-aeb975a6e9db","resolution":{"observed_at":"2026-08-09T14:29:21.181081Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.01610","last_updated":"2023-06-02T21:52:17Z","snapshot_observed_at":"2026-08-09T07:24:01.957644Z","submitted_at":"2023-05-02T17:13:55Z","title":"Finding Neurons in a Haystack: Case Studies with Sparse Probing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.01610","snapshot_observed_at":"2026-08-09T14:29:19.995790Z","title":"Finding neurons in a haystack: Case studies with sparse probing, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:19.995790Z"},"links":{"cited_paper":"/paper/2305.01610","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:f95d853d3b0e6502b15c29c0989c95a63cd330da9e584819f827e7e86a2b2de8","observation_id":"3ddc6f00-e32d-4913-a754-bef4387f3807","resolution":{"observed_at":"2026-08-09T14:29:19.995790Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.944522Z","title":null,"venue":null,"work_id":"23a1f7f6-95ef-46ba-bc94-9f05bb76535e","year":1971},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.000899Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:078fb40c62a6cd3f3c5190fe2589266dca08737f43b61c4ba6ba26cb11fb51a9","observation_id":"db4e4f9c-0ae9-4e95-9733-acf6b835566a","resolution":{"observed_at":"2026-08-09T14:29:21.949324Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07987","last_updated":"2024-07-25T09:33:50Z","snapshot_observed_at":"2026-08-06T11:02:06.607024Z","submitted_at":"2024-05-13T17:58:30Z","title":"The Platonic Representation Hypothesis","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07987","snapshot_observed_at":"2026-08-09T14:29:20.005783Z","title":"The platonic representation hypothesis, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.005783Z"},"links":{"cited_paper":"/paper/2405.07987","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:8b187bf510bfa54b70867f3d5be5ab95e79743037dc5d21312363d9ad32f4e6e","observation_id":"b27e7fc4-d9fc-486e-9a40-ee75d2b09a45","resolution":{"observed_at":"2026-08-09T14:29:20.005783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:20.011158Z","title":"What does BERT learn about the structure of language? In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pp.\\ 3651--3657, 2019","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.011158Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:5bd451ed787c899712f12c001aa1dadb75c3a21e73c8c3a8dd6142c263856cb6","observation_id":"bf8c534e-43cf-4107-a3cb-ac42b62bf70c","resolution":{"observed_at":"2026-08-09T14:29:20.011158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18895","last_updated":"2024-11-28T03:58:48Z","snapshot_observed_at":"2026-08-04T09:44:13.703757Z","submitted_at":"2024-11-28T03:58:48Z","title":"Evaluating Sparse Autoencoders on Targeted Concept Erasure Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18895","snapshot_observed_at":"2026-08-09T14:29:20.016483Z","title":"Evaluating sparse autoencoders on targeted concept erasure tasks, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.016483Z"},"links":{"cited_paper":"/paper/2411.18895","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:98a1135b3c2290dcda70a1221520ba9fe25ae8a713a3c9ad9faf7bec0c410a6f","observation_id":"28269566-c2a5-4d2c-8d13-1864584dd479","resolution":{"observed_at":"2026-08-09T14:29:20.016483Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1007/pl00008165","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"and Hoffmann, J","venue":"Psychological Research","work_id":"ac5df8f6-21f6-4fb2-9bd8-72e4f6938e7e","year":2000},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.021105Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:4a9268a15bc7f990b8324f033daa4c72ea3231d65ebb43d594d676791321e0e0","observation_id":"da9c5608-ea16-4922-843a-27dea219982f","resolution":{"observed_at":"2026-08-09T14:29:20.304753Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.929028Z","title":"Similarity of neural network representations revisited","venue":null,"work_id":"21f679c2-70b1-4009-9d6d-a4b5cbdb15f2","year":2019},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.026027Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:dda2950cb494a327a6127fa0915ae98eba26ca95491fe88be46b127dd48926c2","observation_id":"3a7455a3-f739-455b-a447-e80040e83d1a","resolution":{"observed_at":"2026-08-09T14:29:21.934179Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.913863Z","title":"E., Rosenbloom, P","venue":null,"work_id":"c250a7a9-179d-4346-baa1-124bc15c4f6f","year":1984},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.030783Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:dbfd25eff50040ba9584fbd4ef949223be4185de2af9dd4a4f18df560beea26e","observation_id":"a5b76b80-9928-4638-a504-206a6ed1514e","resolution":{"observed_at":"2026-08-09T14:29:21.918574Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1411.5908","last_updated":"2015-06-20T18:35:37Z","snapshot_observed_at":"2026-08-05T10:27:05.468607Z","submitted_at":"2014-11-21T15:14:42Z","title":"Understanding image representations by measuring their equivariance and equivalence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1411.5908","snapshot_observed_at":"2026-08-09T14:29:20.035402Z","title":"and Vedaldi, A","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.035402Z"},"links":{"cited_paper":"/paper/1411.5908","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:4a4a54703110c4136579bfac66c903dbffb835eff6245259036dbdfcaaa2e6f0","observation_id":"408e13e0-9632-42a3-88f6-d0c9f500c700","resolution":{"observed_at":"2026-08-09T14:29:20.035402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.03490","last_updated":"2017-03-06T08:51:10Z","snapshot_observed_at":"2026-08-04T18:33:02.554156Z","submitted_at":"2016-06-10T21:28:47Z","title":"The Mythos of Model Interpretability","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.03490","snapshot_observed_at":"2026-08-09T14:29:20.040557Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.040557Z"},"links":{"cited_paper":"/paper/1606.03490","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:d068026c2c33f4fb209860ce469c0b533843c56d5e43e7491b311f837fb62dfc","observation_id":"fa567884-6a94-4b5c-bbe1-dbd2faeb0522","resolution":{"observed_at":"2026-08-09T14:29:20.040557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.897837Z","title":"P., Santorini, B., and Marcinkiewicz, M","venue":null,"work_id":"accaf2c3-c984-4516-8d0d-a87926824a26","year":1993},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.046510Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:eafbf7bd46ac8f0f1b1291acc5ef7af3779466184a97d1e8a38d5630c2a96a7a","observation_id":"31da0d60-3cdd-47ba-a126-fdd751ba3f5e","resolution":{"observed_at":"2026-08-09T14:29:21.902448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19647","last_updated":"2025-03-27T05:44:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-03-28T17:56:07Z","title":"Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19647","snapshot_observed_at":"2026-08-09T14:29:20.056182Z","title":"J., Belinkov, Y., Bau, D., and Mueller, A","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.056182Z"},"links":{"cited_paper":"/paper/2403.19647","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:b1aa929026acea18e8e48d8d101c400c9ecf522b074df2c3b7aae9716e008975","observation_id":"272b517c-5bad-4d6e-bad3-8b86c9f92a0f","resolution":{"observed_at":"2026-08-09T14:29:20.056182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:20.060754Z","title":null,"venue":null,"work_id":null,"year":1956},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.060754Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:a6d1e419d317a8e2d9e3ae88782a69f3283f667d61ae72234ef2e04d7151477f","observation_id":"d0db7265-a03d-458c-ad25-cc20552cb54a","resolution":{"observed_at":"2026-08-09T14:29:20.060754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.881011Z","title":"and Neo, C","venue":null,"work_id":"e7759aac-6125-4de0-b195-b0621240426c","year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.065870Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:a6860a76909b56077315e3fe19f9ebc5dcb1a270c40868d9d14c76cc779fea72","observation_id":"69ebffda-5331-4d40-972c-c48e284723f4","resolution":{"observed_at":"2026-08-09T14:29:21.886850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.07269","last_updated":"2018-08-15T00:50:00Z","snapshot_observed_at":"2026-07-06T05:47:58.719769Z","submitted_at":"2017-06-22T11:46:11Z","title":"Explanation in Artificial Intelligence: Insights from the Social Sciences","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.07269","snapshot_observed_at":"2026-08-09T14:29:20.070388Z","title":"Explanation in artificial intelligence: Insights from the social sciences, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.070388Z"},"links":{"cited_paper":"/paper/1706.07269","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:15894b777012f715b32e66ec895225bf7aba29e9e5b37791942dcec66b833edf","observation_id":"dc04dd9c-dbea-41fc-83cb-a18f123edaed","resolution":{"observed_at":"2026-08-09T14:29:20.070388Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.15430","last_updated":"2023-03-07T10:08:04Z","snapshot_observed_at":"2026-08-06T13:05:55.693185Z","submitted_at":"2022-09-30T12:37:03Z","title":"Relative representations enable zero-shot latent space communication","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.15430","snapshot_observed_at":"2026-08-09T14:29:20.075028Z","title":"Relative representations enable zero-shot latent space communication, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.075028Z"},"links":{"cited_paper":"/paper/2209.15430","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:e53d840daf0879039f8578977e9a97c23184ba8cf742a02875cfa29ee198f9a2","observation_id":"43d43bb6-54bf-4ddb-85b6-3ee0bad86780","resolution":{"observed_at":"2026-08-09T14:29:20.075028Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.14032","last_updated":"2021-02-02T23:46:51Z","snapshot_observed_at":"2026-08-10T01:51:26.659486Z","submitted_at":"2020-06-24T20:37:05Z","title":"Compositional Explanations of Neurons","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.14032","snapshot_observed_at":"2026-08-09T14:29:20.079697Z","title":"and Andreas, J","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.079697Z"},"links":{"cited_paper":"/paper/2006.14032","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:a4bb6c828dcf43c6822748d082a6382463c8b7f2192f060acfafa66856231109","observation_id":"cdde8ae1-57b0-43b9-a56f-e8dbaae9ba96","resolution":{"observed_at":"2026-08-09T14:29:20.079697Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1605.09304","last_updated":"2016-11-23T18:41:12Z","snapshot_observed_at":"2026-08-05T13:56:43.134118Z","submitted_at":"2016-05-30T16:22:54Z","title":"Synthesizing the preferred inputs for neurons in neural networks via deep generator networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1605.09304","snapshot_observed_at":"2026-08-09T14:29:20.084289Z","title":"Synthesizing the preferred inputs for neurons in neural networks via deep generator networks","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.084289Z"},"links":{"cited_paper":"/paper/1605.09304","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:894fd189fd0e94ee2627fc23b3ffaaa95585fc0efabb6fd9c279a2daf5d1f5f4","observation_id":"55642c98-866c-407d-b09d-42339957f244","resolution":{"observed_at":"2026-08-09T14:29:20.084289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.864471Z","title":"An overview of early vision in inceptionv1","venue":null,"work_id":"4add7b7c-4ed3-4f79-86c1-ba4924b4bffb","year":2020},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.089242Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:df1cbc335a00a44901b593775848c220690c1c8a5b0443cfc78c7c2c1be6148f","observation_id":"7f080f22-2d7a-41ab-83e8-d72bcac08576","resolution":{"observed_at":"2026-08-09T14:29:21.869714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.849340Z","title":"Zoom in: An interpretability method for deep neural networks","venue":null,"work_id":"13c4b41d-c906-4ffa-ad8d-2bf5d5de7031","year":2020},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.093849Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:b78b047eadf427f7858a521fdcd4eb880e947e2122ecc6c9264bb94d62f2be77","observation_id":"5b3880cc-103f-453e-a0e0-2c1ed857b2f9","resolution":{"observed_at":"2026-08-09T14:29:21.854148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.04897","last_updated":"2023-11-08T18:56:35Z","snapshot_observed_at":"2026-08-06T05:52:56.931849Z","submitted_at":"2023-11-08T18:56:35Z","title":"Future Lens: Anticipating Subsequent Tokens from a Single Hidden State","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.04897","snapshot_observed_at":"2026-08-09T14:29:20.098447Z","title":"C., and Bau, D","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.098447Z"},"links":{"cited_paper":"/paper/2311.04897","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:bc726559e39c5679b62d6ce70edba88c543469dd4100c58f947edcf25dd94237","observation_id":"348c4721-fa13-4cad-8a0d-535094c49302","resolution":{"observed_at":"2026-08-09T14:29:20.098447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1806.07421","last_updated":"2018-09-25T18:16:18Z","snapshot_observed_at":"2026-08-10T09:44:43.601915Z","submitted_at":"2018-06-19T18:41:30Z","title":"RISE: Randomized Input Sampling for Explanation of Black-box Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.07421","snapshot_observed_at":"2026-08-09T14:29:20.103490Z","title":"RISE : Randomized Input Sampling for Explanation of Black -box Models , September 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.103490Z"},"links":{"cited_paper":"/paper/1806.07421","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:9025859923afc7515e5f98c9d8823a72a696f9cb46d4810fd4495959a7371c6c","observation_id":"3027b908-8d11-4877-be19-39ae9a0392d2","resolution":{"observed_at":"2026-08-09T14:29:20.103490Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1704.01444","last_updated":"2017-04-06T09:48:20Z","snapshot_observed_at":"2026-08-10T10:21:51.509060Z","submitted_at":"2017-04-05T14:20:28Z","title":"Learning to Generate Reviews and Discovering Sentiment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.01444","snapshot_observed_at":"2026-08-09T14:29:20.108007Z","title":"Learning to generate reviews and discovering sentiment, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.108007Z"},"links":{"cited_paper":"/paper/1704.01444","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:00a64cb1a7f5617c35d1cd0a2b4862c05cf8087eb8743a645f40beb90753e1d9","observation_id":"c4fd487a-485e-4110-9002-a43f5ee3160f","resolution":{"observed_at":"2026-08-09T14:29:20.108007Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1602.04938","last_updated":"2016-08-09T17:54:52Z","snapshot_observed_at":"2026-07-06T04:46:17.931363Z","submitted_at":"2016-02-16T08:20:14Z","title":"\"Why Should I Trust You?\": Explaining the Predictions of Any Classifier","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1602.04938","snapshot_observed_at":"2026-08-09T14:29:20.113041Z","title":"Why Should I Trust You ?","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.113041Z"},"links":{"cited_paper":"/paper/1602.04938","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:e674d70f258a467cbcbc53e753cd6680960717c9a6eeeb8d3b6a53d2c385a174","observation_id":"5f78dd3f-c5bc-43ce-bf8c-32e412e54630","resolution":{"observed_at":"2026-08-09T14:29:20.113041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.834097Z","title":"On linear identifiability of learned representations","venue":null,"work_id":"88d07be8-5bdf-48e0-9b69-26b018a2239d","year":2021},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.118205Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:310448c1d1e8c0c1b49b6decd4cf50871898a1160855b4a10b4e5bd0351305b6","observation_id":"5b6d3e34-eb11-4e41-aa09-77dc563c2e0b","resolution":{"observed_at":"2026-08-09T14:29:21.839078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1162/daed_a_00158","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"E pluribus unum: From complexity, universality","venue":"Daedalus","work_id":"fad8eb51-8cd7-4ba2-8f2c-205982949a39","year":2012},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.122843Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:87335828dc95eee5a3cdebfab3acdb24b766d0cc2aa53ac41c6b5e82ef269e7b","observation_id":"75c367b3-8241-4ac2-9a54-83e448e480cd","resolution":{"observed_at":"2026-08-09T14:29:20.280047Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.18653/v1/2021.blackboxnlp-1.12","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Word equations: Inherently interpretable sparse word embeddings through sparse coding","venue":null,"work_id":"b0dea87c-40d1-4ddd-8764-5b16e083e3d6","year":2021},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.127624Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:8f2f276610a58ad77be55155944be90bf1a93a4d1f6465b29d5c92e2d025418c","observation_id":"f5e6ecac-c4ba-4135-b783-6a9475f5d80c","resolution":{"observed_at":"2026-08-09T14:29:20.264748Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:20.132480Z","title":"Bert rediscovers the classical nlp pipeline","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.132480Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:3521855e9e6abe32d9d1b773fb248d1529b0dc822ac1533da366beaf9d28edd3","observation_id":"808054f6-f4d1-4abc-8102-284b863eedc3","resolution":{"observed_at":"2026-08-09T14:29:20.132480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.04827","last_updated":"2023-09-09T15:51:36Z","snapshot_observed_at":"2026-08-03T03:23:53.991142Z","submitted_at":"2023-09-09T15:51:36Z","title":"Neurons in Large Language Models: Dead, N-gram, Positional","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.04827","snapshot_observed_at":"2026-08-09T14:29:20.137183Z","title":"Neurons in large language models: Dead, n-gram, positional, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.137183Z"},"links":{"cited_paper":"/paper/2309.04827","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:a7c756a9d0e06e60a837c37cdb3b35f0abe43fd83d4f938029f17b81a3e08a83","observation_id":"0d71f1cc-e53d-417e-877b-ee39e129accd","resolution":{"observed_at":"2026-08-09T14:29:20.137183Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.00593","last_updated":"2022-11-01T17:08:44Z","snapshot_observed_at":"2026-08-05T06:04:21.031867Z","submitted_at":"2022-11-01T17:08:44Z","title":"Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.00593","snapshot_observed_at":"2026-08-09T14:29:20.143673Z","title":"Interpretability in the wild: a circuit for indirect object identification in gpt-2 small, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.143673Z"},"links":{"cited_paper":"/paper/2211.00593","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:8ba475947ee963dd9438fe1d09b8d56637649b9b332b069ede06e30e4ffaa63e","observation_id":"dbe5dc59-dc06-4da0-aeb6-7b7df836aba7","resolution":{"observed_at":"2026-08-09T14:29:20.143673Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17224","last_updated":"2024-06-25T02:18:15Z","snapshot_observed_at":"2026-08-09T17:14:47.189294Z","submitted_at":"2024-06-25T02:18:15Z","title":"Large Language Models are Interpretable Learners","version":1},"cited_work":{"arxiv_id":"2406.17224","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.17224","snapshot_observed_at":"2026-08-09T14:29:20.644733Z","title":"Large Language Models are Interpretable Learners","venue":"cs.AI","work_id":"a780f497-d74e-479c-93bb-37042731453f","year":2024},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.148743Z"},"links":{"cited_paper":"/paper/2406.17224","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:a7041df43c4b3cf2b1473b5d7b32afe4c000a0574351d629e0d5ae0d94c8fb4a","observation_id":"23f2002b-97cc-48a7-b7b0-ae99751fca84","resolution":{"observed_at":"2026-08-09T14:29:20.650185Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.819410Z","title":"Learning Structure from the Ground up— Hierarchical Representation Learning by Chunking","venue":null,"work_id":"eb2fb928-361c-497c-b6af-94a36d8958fa","year":2022},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.153727Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:3e3695eead26a005042a6e08f076b232a9cbd399c696a385b139895bd6ad62b3","observation_id":"7d0ec334-0f9a-4833-a783-1789fa26b0fe","resolution":{"observed_at":"2026-08-09T14:29:21.824167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41598-023-31500-3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Chunking as a rational solution to the speed–accuracy trade-off in a serial reaction time task","venue":"Scientific Reports","work_id":"bdb00702-a692-4b0b-9eb4-11337025a156","year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.158569Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:220551e0298f444b83d072760095ae2668b10249d86cd0b81daeac8639393268","observation_id":"7e80c8ad-efd4-4924-ae57-ddbeaba5a427","resolution":{"observed_at":"2026-08-09T14:29:20.238219Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:21.804559Z","title":"Two types of motifs enhance human recall and generalization of long sequences","venue":null,"work_id":"e3b267c3-c792-44c7-b8b8-00c2cf1a16be","year":2025},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.163229Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:2c6b578ef604c81b729cefc63361989837e14c08eb0b0f55f2e769efd6404664","observation_id":"df9b9885-d1a3-4b1b-97c1-a119bc78da9c","resolution":{"observed_at":"2026-08-09T14:29:21.809385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:20.620772Z","title":null,"venue":null,"work_id":"f743b6bc-5126-4461-b375-e0e1a48a32f3","year":2000},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.168059Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:ef149e9c7bbe058279a479cb71ff3cb3dddfc1faac05ead6d24d33ac95ef3169","observation_id":"684eaec9-3a86-4c99-9116-ef16d435cba3","resolution":{"observed_at":"2026-08-09T14:29:20.626321Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:20.172855Z","title":"and Zhu, S.-c","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.172855Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:2bd97b348eb3879c8c476ee2cbfbd669441bd75af5f14138068ace0bfa5180db","observation_id":"11921eb9-ece5-4e6a-816e-84506ce06321","resolution":{"observed_at":"2026-08-09T14:29:20.172855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01405","last_updated":"2025-03-03T06:14:14Z","snapshot_observed_at":"2026-07-06T16:26:38.284922Z","submitted_at":"2023-10-02T17:59:07Z","title":"Representation Engineering: A Top-Down Approach to AI Transparency","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01405","snapshot_observed_at":"2026-08-09T14:29:20.179016Z","title":"J., Wang, Z., Mallen, A., Basart, S., Koyejo, S., Song, D., Fredrikson, M., Kolter, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.179016Z"},"links":{"cited_paper":"/paper/2310.01405","citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:16f600fec342d041506609bba7b34dd4eff9cd4407e78b134cdea29b404ab1c8","observation_id":"61301cd9-96cf-4314-99b3-c2df66171161","resolution":{"observed_at":"2026-08-09T14:29:20.179016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T14:29:20.184050Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-09T14:29:20.184050Z"},"links":{"citing_paper":"/paper/2502.01803"},"observation_digest":"sha256:bc2c9d35d8141ad8c3a92adee63e562ecec271b4e42580efd142600bdead4db7","observation_id":"483ce5e1-57b9-46d1-860e-bcdf4e3d0173","resolution":{"observed_at":"2026-08-09T14:29:20.184050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.01803","last_updated":"2025-02-03T20:30:46Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-10T05:05:40.545983Z","submitted_at":"2025-02-03T20:30:46Z","title":"Discovering Chunks in Neural Embeddings for Interpretability"},"reference_resolution":{"displayed":66,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":37,"verified_exact":13,"verified_fuzzy":15},"total_outbound_references":66},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2502.01803."}