{"as_of":"2026-08-10T20:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7b226990a05ade75eb4fbb54c9d5119868be95a95fb452c8b9fb013854d81ef3","coverage":[{"denominator":49,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":49,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:08:52.099815Z","state":"measured"},{"denominator":50,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":50,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-08T10:11:08.494758Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-11T20:11:08.877849Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"cited_work":{"arxiv_id":"2507.06427","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.06427","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Exploring task performance with interpretable models via sparse auto-encoders","venue":null,"work_id":"1fa646e4-00bc-48ea-970f-f2d8980e2380","year":2025},"citing_paper":{"arxiv_id":"2605.06196","last_updated":"2026-05-07T13:08:19Z","snapshot_observed_at":"2026-07-06T23:18:41.400741Z","submitted_at":"2026-05-07T13:08:19Z","title":"The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-08T10:11:08.494758Z"},"links":{"cited_paper":"/paper/2507.06427","citing_paper":"/paper/2605.06196"},"observation_digest":"sha256:75db42141e585ec09ff4035209ee5233785f8039426d5fc9eeb692cc593bd117","observation_id":"d3c96b12-8468-4d05-ad97-2598834e29e7","resolution":{"observed_at":"2026-05-11T20:11:08.880392Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2507.06427/citation-record","integrity":"/paper/2507.06427/integrity","json":"/paper/2507.06427/citation-record.json","paper":"/paper/2507.06427"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-08-10T14:07:02.234322Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-06T19:08:46.060796Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:46.060796Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:93cdc536b30f223b265c0362395d0da9e714f7518586c4b222a1e10f87c38073","observation_id":"ab8b8f95-cf81-4536-80bf-75cdb468943c","resolution":{"observed_at":"2026-08-06T19:08:46.060796Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T19:08:46.230370Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:46.230370Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:c96f6016e893ad821be851d8f3204f312c25d9c842e8a4089683260b44edba71","observation_id":"b3e67fdb-f2c5-40cb-8864-0f087b518038","resolution":{"observed_at":"2026-08-06T19:08:46.230370Z","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":"2026-08-06T19:08:57.908783Z","title":null,"venue":null,"work_id":"7e7937a0-12d7-4280-9e26-4653f4765f49","year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:46.382143Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:cc765fc07644138959bf705b0b3e6f9a9c32b0f767d21e326c2dea1884672a7d","observation_id":"ed345162-ca83-44fe-ad4a-debef9442eea","resolution":{"observed_at":"2026-08-06T19:08:58.024755Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:57.603149Z","title":null,"venue":null,"work_id":"cada5263-e931-48c8-a55a-a68ca4efcc05","year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:46.476180Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:2b9ae9da9fe6b204ad2a463d8051e237d49bb8338dcddf6d29eb70e10853147c","observation_id":"3d9d2e91-eb36-4666-8ce2-c014b90fdd63","resolution":{"observed_at":"2026-08-06T19:08:57.730664Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:46.643752Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:46.643752Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:ed36fa41f5ce5db7a0c14de4948b8ded5d86f7e5eb1e5b4f650527335eb8a893","observation_id":"54c11c5c-9f3e-4799-b36d-f0f5ad0eb6c1","resolution":{"observed_at":"2026-08-06T19:08:46.643752Z","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":"2026-08-06T19:08:46.772226Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:46.772226Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:eca85a25cfebaf91a3476bcd0e0f53d308c9fda90a623b7e1ec1a925fd186401","observation_id":"7c1d05bd-8e54-401f-b484-3b90dd1e4bc3","resolution":{"observed_at":"2026-08-06T19:08:46.772226Z","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":"2026-08-06T19:08:57.307583Z","title":null,"venue":null,"work_id":"606855c6-9ffa-442a-b9b3-fe70da9b4779","year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:46.917485Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:39edadaff8f42d2046a00bc3ef86dd50c9f077224f76fe65f560e082c605c3af","observation_id":"e71f98ff-2b8a-4228-932a-9615db113ff5","resolution":{"observed_at":"2026-08-06T19:08:57.470098Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:57.032533Z","title":null,"venue":null,"work_id":"420f393c-2ebf-4e87-b761-07c3aee212e9","year":2006},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.011762Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:6110c7c2bf3323c80c1f0fbbb0115915fe6de82b1ef9067b6e8882aaf127ef10","observation_id":"1c119a47-a20f-491c-83e8-b4af39fd98c7","resolution":{"observed_at":"2026-08-06T19:08:57.159111Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:47.108069Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.108069Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:853adbf032e0c2f3672bd598bd688f92a9a10d1942fc777b45bc82b37548cb56","observation_id":"429baa21-1390-47d3-a133-92fe06135784","resolution":{"observed_at":"2026-08-06T19:08:47.108069Z","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":"2026-08-06T19:08:56.684286Z","title":null,"venue":null,"work_id":"e655588a-3372-4bc7-9c6c-0d6c4064ea93","year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.225204Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:4175727ad0e3392345406795b17ce87f85c26c275f4cb6b340c518225c1eb1aa","observation_id":"01a43aa9-db7d-493f-8520-d818865ae0f4","resolution":{"observed_at":"2026-08-06T19:08:56.861735Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:47.345676Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.345676Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:034b290e88f6f65686e88d1ac3831595d414dd9ccfa75c38022a901128909bcc","observation_id":"2919df94-e454-4fd9-b141-0bb1fd771f83","resolution":{"observed_at":"2026-08-06T19:08:47.345676Z","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":"2026-08-06T19:08:56.423367Z","title":null,"venue":null,"work_id":"54ddcf13-3548-43ff-865c-47469f37eb76","year":2000},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.435767Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:975b728b99bff68a756a5be719588299b59fb5358fef9eb4ae9a553530367fb0","observation_id":"b1a8fd59-1bfb-48e5-a104-11aadf4cc0b4","resolution":{"observed_at":"2026-08-06T19:08:56.541073Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:47.558744Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.558744Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:12c0e0c26f79348556ff8fcd81f81764e647add82cb4915e58ddefe81e3870cc","observation_id":"a93abc0d-b0ea-4075-9382-758054498912","resolution":{"observed_at":"2026-08-06T19:08:47.558744Z","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":"2026-08-06T19:08:47.677008Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.677008Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:8b09900bfcf4eca465742f00c41b16de759111115b4db6d3f010e469892c55f1","observation_id":"4225a1f7-d641-4ceb-b04d-07257867a846","resolution":{"observed_at":"2026-08-06T19:08:47.677008Z","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":"2026-08-06T19:08:47.814426Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.814426Z"},"links":{"cited_paper":"/paper/2309.08600","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:5736d3e3d752c58207aa76c8d218c00814a21ba71f2c93cbcb891ad7eaf1f683","observation_id":"f07abac1-dd31-4d13-acaf-60c95fc5fa81","resolution":{"observed_at":"2026-08-06T19:08:47.814426Z","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":"2026-08-06T19:08:47.926750Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:47.926750Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:e1156f0a35dd19e070696c215b978854910a01a6e48f3d9048ffa7cd29bfed52","observation_id":"d74be020-3136-4b7b-941f-969e8262d13b","resolution":{"observed_at":"2026-08-06T19:08:47.926750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1702.08608","last_updated":"2017-03-02T19:32:10Z","snapshot_observed_at":"2026-08-07T08:20:39.814613Z","submitted_at":"2017-02-28T02:19:20Z","title":"Towards A Rigorous Science of Interpretable Machine Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1702.08608","snapshot_observed_at":"2026-08-06T19:08:48.044298Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.044298Z"},"links":{"cited_paper":"/paper/1702.08608","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:d9c8aa84d9a7e2fc400e9cc56a8e78bdbc94fac8b23c38e0d8557fd210bb3c7a","observation_id":"5380d9c0-395a-4593-8632-93ca056a610d","resolution":{"observed_at":"2026-08-06T19:08:48.044298Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-10T16:40:37.411115Z","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":"2026-08-06T19:08:48.185409Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.185409Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:66a17e166325931b38724fd77c62bf000428b091dd6899808b957cb61a7cd5ba","observation_id":"435d078b-e1d3-4eac-81cb-92bd297a1022","resolution":{"observed_at":"2026-08-06T19:08:48.185409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2209.10652","last_updated":"2022-09-21T20:49:26Z","snapshot_observed_at":"2026-07-06T13:54:56.779166Z","submitted_at":"2022-09-21T20:49:26Z","title":"Toy Models of Superposition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2209.10652","snapshot_observed_at":"2026-08-06T19:08:48.304244Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.304244Z"},"links":{"cited_paper":"/paper/2209.10652","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:67b7b139f77cb7b0831a22f35ea9aeddef62becec46370bec233e8c9b9be87bd","observation_id":"acb8107c-46e9-467c-829d-3fa3e1b96370","resolution":{"observed_at":"2026-08-06T19:08:48.304244Z","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":"10.3115/v1/p15-1144","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"d6178608-1bd7-484d-a5ef-3eff93ea6b5f","year":2015},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.415915Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:152c8b88d5359a31be6a82f76bc12fdf53211609c604ac60fe5a33ccb7a9192f","observation_id":"7f6e9bfb-108c-4877-8677-3cb7cbfca739","resolution":{"observed_at":"2026-08-06T19:08:53.000592Z","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/w18-5418","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"9f7df948-66f2-4b16-a01d-7888051fbb08","year":2018},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.539978Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:b1f8e20659c6574c012cf845e6e8d2bedfc4c5de7b5d7291c9135792456e98b0","observation_id":"f0ca15fe-c249-43b8-abb3-82acd03bf59c","resolution":{"observed_at":"2026-08-06T19:08:52.766326Z","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":"2026-08-06T19:08:56.102243Z","title":null,"venue":null,"work_id":"0d802c86-ed9b-44c5-9892-056da384e8e1","year":2021},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.665815Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:c6fc30ac3da10605e28f49332f88e9d61ee3e3af5f88de93756befdfd7332884","observation_id":"47f9f4b2-1b99-4cfd-ae4c-37f2e4a0627d","resolution":{"observed_at":"2026-08-06T19:08:56.228468Z","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":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-06T19:08:48.781277Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.781277Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:9f76f0faeea2041eb14ebada4ce320dfc38756e6d767c03164e4e281a932ff01","observation_id":"ef8a7742-3072-4425-adf0-c09c9038f6af","resolution":{"observed_at":"2026-08-06T19:08:48.781277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02078","last_updated":"2015-11-17T02:42:24Z","snapshot_observed_at":"2026-08-04T02:12:07.668406Z","submitted_at":"2015-06-05T22:33:04Z","title":"Visualizing and Understanding Recurrent Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02078","snapshot_observed_at":"2026-08-06T19:08:48.893876Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:48.893876Z"},"links":{"cited_paper":"/paper/1506.02078","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:6559a3c92f74cd55fb1128b2925de1bf9c1f68700a25c9339935ee44ad3ae981","observation_id":"2beb27aa-a745-4dda-9914-fe71df94b750","resolution":{"observed_at":"2026-08-06T19:08:48.893876Z","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":"2026-08-06T19:08:55.800422Z","title":null,"venue":null,"work_id":"5203f589-3624-46f5-ae37-268110c8fc73","year":2006},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.053587Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:6b23decdd7f78cd2d84d200acc9ee1895f5de4de22b2429c1cac805f0de1a8db","observation_id":"3132c40a-fed0-4886-8fbc-c911d9cc2159","resolution":{"observed_at":"2026-08-06T19:08:55.923389Z","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":"2310.03184","last_updated":"2023-11-11T01:26:22Z","snapshot_observed_at":"2026-08-07T10:12:18.432281Z","submitted_at":"2023-10-04T22:09:28Z","title":"Retrieval-augmented Generation to Improve Math Question-Answering: Trade-offs Between Groundedness and Human Preference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03184","snapshot_observed_at":"2026-08-06T19:08:49.180573Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.180573Z"},"links":{"cited_paper":"/paper/2310.03184","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:0f1c2f16c4ee000ed774f48b3cc05635273fcd5ed03d7c67ec5103bf15d0f0b9","observation_id":"63e60965-5187-41c6-9287-5aa2a4dd918a","resolution":{"observed_at":"2026-08-06T19:08:49.180573Z","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":"2026-08-06T19:08:55.412941Z","title":null,"venue":null,"work_id":"964f14ee-7fe9-42ab-b29b-5dfc654f50fb","year":2022},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.297688Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:6527bd14fca50300cd80c7612fe636a3f6ba7dda8edd03fad125e8e04c6557ab","observation_id":"ab46913e-5f65-4a91-8498-300871536fad","resolution":{"observed_at":"2026-08-06T19:08:55.586822Z","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":"2403.18365","last_updated":"2024-03-27T08:57:21Z","snapshot_observed_at":"2026-07-06T17:51:48.378864Z","submitted_at":"2024-03-27T08:57:21Z","title":"BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models","version":1},"cited_work":{"arxiv_id":"2403.18365","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.18365","snapshot_observed_at":"2026-08-06T19:08:53.912216Z","title":"BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models","venue":"cs.CL","work_id":"d8b1f7fa-a4ae-4fb8-a759-7ec1752d172e","year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.414283Z"},"links":{"cited_paper":"/paper/2403.18365","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:f9fb7b9751dada0c01b3fb8b8bbecd7bc47a04359e8d38681dc1dc354faa1f0f","observation_id":"cf47fdff-9059-4797-aba7-7360d97e7e59","resolution":{"observed_at":"2026-08-06T19:08:54.009071Z","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":"2302.04834","last_updated":"2023-02-09T18:41:04Z","snapshot_observed_at":"2026-08-04T01:07:37.980738Z","submitted_at":"2023-02-09T18:41:04Z","title":"FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning","version":1},"cited_work":{"arxiv_id":"2302.04834","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.04834","snapshot_observed_at":"2026-08-06T19:08:53.677545Z","title":"FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learning","venue":"cs.CL","work_id":"a107e28f-b478-41d4-a91a-183e7eaca692","year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.547713Z"},"links":{"cited_paper":"/paper/2302.04834","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:9e6412280929920273e895d78c10e40c44c3684e72cd0ea157bee1e94111c61f","observation_id":"661d4177-1c48-4863-8868-c2a34a16fe23","resolution":{"observed_at":"2026-08-06T19:08:53.762981Z","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":"2026-08-06T19:08:55.165415Z","title":null,"venue":null,"work_id":"a332f07a-e000-420a-aba8-162e4b14c065","year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.647488Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:c637ba9749e119baff7b515ca08d9503347dd0470f5e514a35e97233b0f98545","observation_id":"a2370945-e222-49e7-961d-d60d84693862","resolution":{"observed_at":"2026-08-06T19:08:55.286664Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:49.757773Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.757773Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:3f4ef18b6a2b93a3492b8ac8cfc70a4243decb704fea8e468709e6e4fff9c795","observation_id":"ae2708e5-8f3e-40cf-a082-e95a44ea5c27","resolution":{"observed_at":"2026-08-06T19:08:49.757773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-06T19:08:49.851396Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.851396Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:9f0f341e9291c19a93ea862ba4563085edb7fa2ebaccf290050264b6dcf48165","observation_id":"7366676c-4d06-4e76-b7e6-c39c62a469a6","resolution":{"observed_at":"2026-08-06T19:08:49.851396Z","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":"2026-08-06T19:08:49.954918Z","title":null,"venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:49.954918Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:9443daf2c7f60d212e84cbb52c5254400b26b56cfb6269ab8032c2eff55b2816","observation_id":"156acf7f-79a4-4f4d-a0ba-dfdc9992f036","resolution":{"observed_at":"2026-08-06T19:08:49.954918Z","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":"2026-08-06T19:08:50.094933Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:50.094933Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:025289e4e719313388b53660a333aea01a970eafa12cf882a9a4d3fb7252eb54","observation_id":"62ff9008-cf39-4b51-b8f6-7e4f21b69b77","resolution":{"observed_at":"2026-08-06T19:08:50.094933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1801.05453","last_updated":"2018-04-27T22:25:53Z","snapshot_observed_at":"2026-07-06T06:18:58.713420Z","submitted_at":"2018-01-16T19:21:48Z","title":"Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs","version":2},"cited_work":{"arxiv_id":"1801.05453","doi":null,"metadata_source":"pith","pith_arxiv_id":"1801.05453","snapshot_observed_at":"2026-08-06T19:08:53.429569Z","title":"Beyond Word Importance: Contextual Decomposition to Extract Interactions from LSTMs","venue":"cs.CL","work_id":"8f994464-b922-436a-897c-d1738060b84d","year":2018},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:50.214196Z"},"links":{"cited_paper":"/paper/1801.05453","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:ca196ed0ae9f15ab062d0524e5b1a77ba6ec679a783e9f1e003d226db7a1cd66","observation_id":"c48d16b4-fcf5-4434-b2cc-559e8fe44e53","resolution":{"observed_at":"2026-08-06T19:08:53.514982Z","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":"2026-08-06T19:08:54.825435Z","title":null,"venue":null,"work_id":"90ca0d23-a300-4fb2-a274-7be4b6ece099","year":2020},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:50.348163Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:d0884583c9ee24db77eeaabcf261164703958c2c075ea0644f875c5eba71f6fa","observation_id":"22a3a5ae-2845-4677-989b-a404a1f328f8","resolution":{"observed_at":"2026-08-06T19:08:54.987843Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:54.494555Z","title":null,"venue":null,"work_id":"dd3ac5a1-820a-46c2-9bb4-948748486061","year":1997},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:50.481582Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:f0a29255b23d3f25c0de01f6a859bd8f9b55050bf3d274e9a9451f43d4251a7b","observation_id":"544a2e54-c423-4aa6-a7d0-7d1589c54be5","resolution":{"observed_at":"2026-08-06T19:08:54.662458Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:08:50.619500Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:50.619500Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:76e5ddb0d000f2a83e32c01177e7ab9afbdc3cccf770a7f403f69b63db18fc42","observation_id":"25e764c3-d6c8-4946-8f51-eeaef5d85aa7","resolution":{"observed_at":"2026-08-06T19:08:50.619500Z","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":"2026-08-06T19:08:50.776371Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:50.776371Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:f0ba345763251f381396ca95ed70df74629102260a9c52c2ad477f747ed69f4b","observation_id":"178782a6-1542-4f91-a877-0f793ea9ccc1","resolution":{"observed_at":"2026-08-06T19:08:50.776371Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21065","last_updated":"2024-07-27T21:51:30Z","snapshot_observed_at":"2026-07-06T18:54:37.159782Z","submitted_at":"2024-07-27T21:51:30Z","title":"LawLLM: Law Large Language Model for the US Legal System","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21065","snapshot_observed_at":"2026-08-06T19:08:50.905125Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:50.905125Z"},"links":{"cited_paper":"/paper/2407.21065","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:928ebcf10d52b22fc80c80dbebd7ca135e31a0e8c62204f03c72e7b02e1e6c7b","observation_id":"854e0dd5-4ff6-47ca-9d3f-a6f116a7294d","resolution":{"observed_at":"2026-08-06T19:08:50.905125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.11369","last_updated":"2024-04-01T13:58:34Z","snapshot_observed_at":"2026-08-02T17:54:48.989322Z","submitted_at":"2024-03-17T23:18:40Z","title":"What Makes Math Word Problems Challenging for LLMs?","version":2},"cited_work":{"arxiv_id":"2403.11369","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.11369","snapshot_observed_at":"2026-08-06T19:08:53.197570Z","title":"What Makes Math Word Problems Challenging for LLMs?","venue":"cs.CL","work_id":"55faf7c5-8785-4037-ab27-6528ee239e3e","year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.019595Z"},"links":{"cited_paper":"/paper/2403.11369","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:b2b87a2cc1540ce108343aec9ac237254a1fe00166402c3ec008126676166857","observation_id":"b85de85c-7e8e-450d-b6b3-f2da55a6dfad","resolution":{"observed_at":"2026-08-06T19:08:53.286974Z","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":"2026-08-06T19:08:54.307936Z","title":null,"venue":null,"work_id":"6cf06f1a-a5ee-461e-a647-6126c8681631","year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.133693Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:8a3449b4ca07d5fab487618abea597f263b603460ef20c461a58fb737d897d26","observation_id":"60264d59-5530-49fe-b361-1dfae2cc1620","resolution":{"observed_at":"2026-08-06T19:08:54.360902Z","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":"2402.10176","last_updated":"2024-11-03T03:48:02Z","snapshot_observed_at":"2026-08-06T07:29:34.258050Z","submitted_at":"2024-02-15T18:26:11Z","title":"OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.10176","snapshot_observed_at":"2026-08-06T19:08:51.294515Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.294515Z"},"links":{"cited_paper":"/paper/2402.10176","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:7bdc2658564c02d43dd4b185d6470ca498254e04cf89db604b83982778907e0e","observation_id":"bbbbbc28-07f9-45d2-9a4e-30ca98fd30be","resolution":{"observed_at":"2026-08-06T19:08:51.294515Z","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":"10.18653/v1/2023.eacl-main.102","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":null,"work_id":"a67fcba0-0627-4461-b16d-a2500c4aeee3","year":2023},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.415483Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:2df67ecf28bda4d258e03da5268c3e777da1777a7b871985776ecb7bb08717ac","observation_id":"81a11aaf-6ac1-4560-8916-b677f1750cde","resolution":{"observed_at":"2026-08-06T19:08:52.442694Z","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":"2026-08-06T19:08:51.534863Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.534863Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:83b4fcec782ecb19c7ef74b533eb3bff9c2b7277ec1d323906f7c6c8ff46082b","observation_id":"f75864cc-36ad-41ac-bca0-55c49344d34a","resolution":{"observed_at":"2026-08-06T19:08:51.534863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05603","last_updated":"2024-10-08T01:28:57Z","snapshot_observed_at":"2026-07-06T19:29:27.705770Z","submitted_at":"2024-10-08T01:28:57Z","title":"Everything Everywhere All at Once: LLMs can In-Context Learn Multiple Tasks in Superposition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05603","snapshot_observed_at":"2026-08-06T19:08:51.648824Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.648824Z"},"links":{"cited_paper":"/paper/2410.05603","citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:a9e83292d7f70af365417e2fc25d2f57d21ec4f48e9d7bb1e92f618f75db011d","observation_id":"2a90ef7c-8523-4fb1-984d-13512b347ec1","resolution":{"observed_at":"2026-08-06T19:08:51.648824Z","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":"2026-08-06T19:08:51.764977Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.764977Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:e6dfa172a470200c75c7ee33ebdc3ac1d7e2a4b1e570aaa5a7fa1ac5a194a948","observation_id":"504bced8-5895-4bba-8e46-65656e41a25a","resolution":{"observed_at":"2026-08-06T19:08:51.764977Z","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":"2026-08-06T19:08:51.909679Z","title":"URL: \" 'urlintro :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:51.909679Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:e8ce0c296d94f30bd63ba435336cb13c43a264674533a11c6fec1d321941c225","observation_id":"6358715e-b22b-4dd9-bf4c-f80f2cf315da","resolution":{"observed_at":"2026-08-06T19:08:51.909679Z","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":"2026-08-06T19:08:52.099815Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-06T19:08:52.099815Z"},"links":{"citing_paper":"/paper/2507.06427"},"observation_digest":"sha256:830152984504bf518b4c0b720430111ed17b59f6fe9e434e0294dad986aef38d","observation_id":"c5a9220c-bc8e-4411-8231-1d507a367263","resolution":{"observed_at":"2026-08-06T19:08:52.099815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.06427","last_updated":"2025-07-08T22:17:52Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T19:02:25.193346Z","submitted_at":"2025-07-08T22:17:52Z","title":"Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders"},"reference_resolution":{"displayed":49,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":42,"verified_exact":7,"verified_fuzzy":0},"total_outbound_references":49},"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 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2507.06427."}