{"as_of":"2026-08-08T05:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9474ee76340238a8d74df33b1f0a3cd024927c05b1160a107503e2b4d790a5c1","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:13:00.310090Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+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/2608.02689/citation-record","integrity":"/paper/2608.02689/integrity","json":"/paper/2608.02689/citation-record.json","paper":"/paper/2608.02689"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:13:00.766898Z","title":"2026 , howpublished =","venue":null,"work_id":"0a510e24-ef92-41ff-912e-05fa1e165536","year":2026},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:58.398369Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:401f16c7d3e8c8a979a432c48ba78960f434ac5a07fdbb1fb9be0f67a3babbbc","observation_id":"a4fdff8a-5d60-4883-bdd0-5e3376cc06de","resolution":{"observed_at":"2026-08-07T00:13:00.770016Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.756255Z","title":"2026 , howpublished =","venue":null,"work_id":"7e7defeb-5183-4be2-b126-e9a1836db1e3","year":2026},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:58.453189Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:153c013c838d2839b829e2b728f4bd16a0a5121af1108fac653c91fc9a75e46a","observation_id":"efb39803-2ebc-4214-b84d-9379dccc1c0c","resolution":{"observed_at":"2026-08-07T00:13:00.759713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.744982Z","title":"Gated Delta Networks: Improving","venue":null,"work_id":"5709a928-25e1-4813-947d-703925a5c21a","year":null},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:58.530942Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:65c84612bd1d7c4d4b1638e502dfc03708b99ce8e49455ea65f969274fea5da6","observation_id":"481a6cae-6f37-459a-afb4-802e4962b3da","resolution":{"observed_at":"2026-08-07T00:13:00.749298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.734238Z","title":"2025 , howpublished =","venue":null,"work_id":"6f6a0eae-fff0-4767-98fa-4af5a8f897fa","year":2025},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:58.607338Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:f0af303d5cc6e6cbead12a2f4c26f23a35ab45e13bd09c4138acabe086f74a89","observation_id":"f4f04196-8ba0-4673-8fff-464c62f07bea","resolution":{"observed_at":"2026-08-07T00:13:00.737682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.723984Z","title":"Transformers are","venue":null,"work_id":"9ffbde29-5a76-4bea-af35-9786835b3f02","year":null},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:58.685888Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:a348b6f5141f4021b1e0120eb61e984df9762b599a7e653e0897acc57e9f7a7f","observation_id":"bc333146-19ff-4d17-8b57-650c2aac0ec3","resolution":{"observed_at":"2026-08-07T00:13:00.727171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.715084Z","title":"2024 , howpublished =","venue":null,"work_id":"f7f64ce1-a6c5-41fe-955a-6984f9c534d5","year":2024},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:58.784716Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:88ee7026c564f67ee6093306aa6d779ed0247fe37b318a06625a007a4db38d79","observation_id":"e90ee2f6-7024-45c8-a1a7-c370ae1e0f44","resolution":{"observed_at":"2026-08-07T00:13:00.718279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.705340Z","title":"2015 , howpublished =","venue":null,"work_id":"a14e714c-6282-44da-b54c-be588f9cfe1c","year":2015},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:58.858349Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:f475d820e885b4db609249bd8dc92ad6fdaae838ab89d6c04f8682507d846cf9","observation_id":"22d139db-56c8-4669-af6d-dcb19b50b982","resolution":{"observed_at":"2026-08-07T00:13:00.708626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.696562Z","title":"Proceedings of NeurIPS , year =","venue":null,"work_id":"1167f764-889b-45dd-982d-1a32e9f01bfe","year":null},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.016401Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:6316b5cae4fffc7da3fdc42f72ce024d48c9cb0ca8e479eb86aa4ac2e723d100","observation_id":"477be7b3-f278-4c77-87d3-bf4d7b9f895c","resolution":{"observed_at":"2026-08-07T00:13:00.699557Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.687802Z","title":"2025 , howpublished =","venue":null,"work_id":"8c02992c-f041-4666-96cc-1c0ae291a493","year":2025},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.156898Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:ec8ec20d2e2c75aa4c4ed12b65f1e8b4edff3c7c0aaa6cbd18b84534842b2df0","observation_id":"69fced98-18d2-4573-bf7f-08a07a205764","resolution":{"observed_at":"2026-08-07T00:13:00.690801Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.678570Z","title":null,"venue":null,"work_id":"429ef909-d5ea-42f6-9cc8-961e89b307f0","year":null},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.269575Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:2d8aef52735837b9c33b500f2ec3a7ddffe23ce121d072bce32b119403d83a44","observation_id":"fa064602-ae0d-4dbd-b3b9-7e0575d82bf3","resolution":{"observed_at":"2026-08-07T00:13:00.681561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.668989Z","title":"Proceedings of ICLR , year =","venue":null,"work_id":"35ad3cf9-d08a-4356-864d-5432fd4653ff","year":null},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.384896Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:3c61bf4be3a94f168447e974102878218cb4f685b589f402081c77914fe0c415","observation_id":"ca14f4ce-8956-43ef-a2e3-01c1792f7731","resolution":{"observed_at":"2026-08-07T00:13:00.672339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.658726Z","title":null,"venue":null,"work_id":"9897b824-4668-4330-aea7-c0eb6cfdb14f","year":null},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.542614Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:aa99236d99a953ae088942e6d938a2c79d6620a068734c9b8a7bba8c6bca9941","observation_id":"639c8a79-3cb4-4de0-acaf-0df42d858795","resolution":{"observed_at":"2026-08-07T00:13:00.662576Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.648133Z","title":"2024 , howpublished =","venue":null,"work_id":"2c0df161-c3e5-485f-977d-26137285177e","year":2024},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.681135Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:7c6e6d855e51baef6cc928df4006129f4b52f115599b56d001de9bb92f06a062","observation_id":"7e85c5e4-d260-41ef-a3f5-040d66e214cb","resolution":{"observed_at":"2026-08-07T00:13:00.651476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:12:59.835544Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.835544Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:35666d49306d25a370fce2e15bc2368c993b97696f2080a31113239d6f0d0cf8","observation_id":"19a52c79-e0b4-47d7-b39d-4ec71ac5ef3a","resolution":{"observed_at":"2026-08-07T00:12:59.835544Z","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":"2026-08-07T00:12:59.909522Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T00:12:59.909522Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:cb165c052420515470ef77f938f8b0cb4bd672b91b281fed0d654b9fefa7c55c","observation_id":"34807871-a6a9-49b7-a059-4c0bd67e3558","resolution":{"observed_at":"2026-08-07T00:12:59.909522Z","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":"2026-08-07T00:13:00.638300Z","title":null,"venue":null,"work_id":"95058d31-6355-4603-aada-b4d689f960d1","year":2021},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.034346Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:0fd761f95e0ea36d5df8327d98e78526ad6e0b3ec94054560beb2ecb635f0ff9","observation_id":"fbf71a86-bcaa-4205-a9bb-36cf14a1e5db","resolution":{"observed_at":"2026-08-07T00:13:00.641428Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-07T00:13:00.162646Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.162646Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:326962df4428a2a8a4638848956022222279ac8ef7c6c59ffa416049a7eb9fb8","observation_id":"a546bd81-1b48-4d91-a28e-e8e54a051ab2","resolution":{"observed_at":"2026-08-07T00:13:00.162646Z","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":"2026-08-07T00:13:00.627729Z","title":null,"venue":null,"work_id":"aeae8893-bbe6-4352-b373-c93de7f9e19c","year":2023},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.168158Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:8e5b038e389be4ea35b24fd567041d993557bae5b8b3825640d5968025196c36","observation_id":"ffa55e4a-8449-44e1-a044-e1d9b0820bae","resolution":{"observed_at":"2026-08-07T00:13:00.630988Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-07T00:13:00.617096Z","title":null,"venue":null,"work_id":"986d3861-95eb-48ee-b14d-84dfefbcc8bd","year":2020},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.269727Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:3663637075362af7a89b6811058424033abfe690f6bb945a4aee7bbcdb4c3406","observation_id":"7b9e5fb6-12bc-43fa-9c44-51102d1f1548","resolution":{"observed_at":"2026-08-07T00:13:00.620632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2603.26556","last_updated":"2026-07-17T10:32:57Z","snapshot_observed_at":"2026-08-06T23:40:39.903598Z","submitted_at":"2026-03-27T16:16:23Z","title":"When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models","version":2},"cited_work":{"arxiv_id":"2603.26556","doi":null,"metadata_source":"pith","pith_arxiv_id":"2603.26556","snapshot_observed_at":"2026-08-07T00:13:00.380098Z","title":"When Perplexity Lies: Generation-Focused Distillation of Hybrid Sequence Models","venue":"cs.CL","work_id":"72be8eb0-8261-47d6-aaf9-e77b6d527776","year":2026},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.288306Z"},"links":{"cited_paper":"/paper/2603.26556","citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:b870e2b90af8239406e5a17017917b600a05d14edc1add1cede819e4531eb20f","observation_id":"7d1cf1aa-41c4-482b-9ef9-1e18e1aaff7c","resolution":{"observed_at":"2026-08-07T00:13:00.387089Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09212","last_updated":"2024-01-17T19:09:57Z","snapshot_observed_at":"2026-08-04T18:52:19.083847Z","submitted_at":"2023-06-15T15:49:51Z","title":"CMMLU: Measuring massive multitask language understanding in Chinese","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09212","snapshot_observed_at":"2026-08-07T00:13:00.291806Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.291806Z"},"links":{"cited_paper":"/paper/2306.09212","citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:ba6308c30620f522de10219aeda135e29ec7d79a60f841a513cf25597ffdf2b1","observation_id":"9a8c67c1-6d96-4abb-a3bf-1b1dca03bb3e","resolution":{"observed_at":"2026-08-07T00:13:00.291806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.26692","last_updated":"2025-11-01T12:05:18Z","snapshot_observed_at":"2026-08-07T19:30:34.681869Z","submitted_at":"2025-10-30T16:59:43Z","title":"Kimi Linear: An Expressive, Efficient Attention Architecture","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.26692","snapshot_observed_at":"2026-08-07T00:13:00.295296Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.295296Z"},"links":{"cited_paper":"/paper/2510.26692","citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:50f540dbaa01068b6b352b8a6d655a3b0603d5a1d532a397119c7232cbd8782a","observation_id":"cf6d7a64-80ac-4cd4-80a2-0bd12e236b08","resolution":{"observed_at":"2026-08-07T00:13:00.295296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-08-07T00:13:00.298913Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.298913Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:f45baf4074ab25d0cb05e77cd5a09c449a4b18cf78f1e2bcaa24b2008487ce85","observation_id":"b2a48fb7-69d7-424f-b19b-ec89942ce9df","resolution":{"observed_at":"2026-08-07T00:13:00.298913Z","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":"2026-08-07T00:13:00.606579Z","title":"Manning, and Chelsea Finn","venue":null,"work_id":"eb18b304-0917-4528-8189-da0ed45d5dfe","year":2023},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.302083Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:b9cd0dff34c31a524e1fd02f3652cee148b2e83b76c4d668c03bbe21ce0d4c14","observation_id":"f646ae1e-2c1d-449b-9452-4fa85f9e22fe","resolution":{"observed_at":"2026-08-07T00:13:00.610303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.06464","last_updated":"2025-03-06T06:57:34Z","snapshot_observed_at":"2026-08-03T00:27:18.402796Z","submitted_at":"2024-12-09T13:09:04Z","title":"Gated Delta Networks: Improving Mamba2 with Delta Rule","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.06464","snapshot_observed_at":"2026-08-07T00:13:00.304939Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.304939Z"},"links":{"cited_paper":"/paper/2412.06464","citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:975f098b16ccdc872f4de16152205a335edd9d075c886d24b323277629a3e102","observation_id":"5e4577b1-8204-44d5-bf7d-41868b95faeb","resolution":{"observed_at":"2026-08-07T00:13:00.304939Z","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":"2026-08-07T00:13:00.597037Z","title":null,"venue":null,"work_id":"5c719e5e-63ce-480b-b039-91900069eb33","year":2024},"citing_paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T00:13:00.310090Z"},"links":{"citing_paper":"/paper/2608.02689"},"observation_digest":"sha256:c2f2ff60a4937bf40db64c76be9296abe1064203720c0b8e54a6ae733b5b78df","observation_id":"483889e1-3c43-451b-8120-2b8c0d461467","resolution":{"observed_at":"2026-08-07T00:13:00.600051Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.02689","last_updated":"2026-08-03T08:54:18Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T23:09:53.726143Z","submitted_at":"2026-08-03T08:54:18Z","title":"Stuck on \"A\": Diagnosing and Repairing Interface Injury in Attention-to-KDA Linearization of a 0.6B Language Model"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":12},"total_outbound_references":26},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2608.02689."}