{"as_of":"2026-08-11T13:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3ffc859fdbc17af7522bfde7924f39e748dead48acb03246ad76696e7d31cda9","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-10T06:35:33.560079Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+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/2604.17078/citation-record","integrity":"/paper/2604.17078/integrity","json":"/paper/2604.17078/citation-record.json","paper":"/paper/2604.17078"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Absil, R","venue":null,"work_id":"e9e0931c-ed62-4ec3-854e-512587889d58","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:34913c9a397f20a3531a73541120823189a5f1be5e7bc056f77a318e3a73506c","observation_id":"99a01b78-a37d-4192-a9c0-a4146e19732f","resolution":{"observed_at":"2026-05-21T16:14:16.133167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Uni- tary evolution recurrent neural networks","venue":null,"work_id":"6c25406e-d14a-4acb-9123-9ab9e3ae6185","year":2016},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:1bb25c515ca03d68b765414769ed351cde6ec79a69141f80ecd8f34b77e8ff6e","observation_id":"7f2197ca-2071-43e5-b689-60299c147d1c","resolution":{"observed_at":"2026-05-21T16:14:16.135491Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.06450","last_updated":"2016-07-21T19:57:52Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-07-21T19:57:52Z","title":"Layer Normalization","version":1},"cited_work":{"arxiv_id":"1607.06450","doi":"10.1007/978-3-319-32025-0","metadata_source":"pith","pith_arxiv_id":"1607.06450","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Layer Normalization","venue":"stat.ML","work_id":"20a2d720-0046-4c7c-bcd6-327ec8143f69","year":2016},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/1607.06450","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:5de40132ae0bd11d0ad12745eea1470da18871978ff86afb416f00743c2d149a","observation_id":"1b27806c-0f21-40f7-8c5b-d4d9328531d5","resolution":{"observed_at":"2026-05-10T06:36:36.500301Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Remote sens- ing image scene classification: Benchmark and state of the art.Proc","venue":null,"work_id":"c4711964-3b78-441e-bd14-fd62a90265da","year":2017},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:6dc9b860f2061887e7022ce8661181c7ebbfc573ca6a3a1bd5af059dfffc885d","observation_id":"847543ad-b00f-4f8d-9a6f-3b8982a543cf","resolution":{"observed_at":"2026-05-21T16:14:16.180889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Describing textures in the wild","venue":null,"work_id":"d0372559-57a7-4b60-8b8e-27b2ac79b6d7","year":2014},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:2353f62225c5a8d39ca5b115d58bfe84ad59b507032b39617dd487828567b384","observation_id":"954eb2ef-f8d9-43f4-b59d-3434385b0c7b","resolution":{"observed_at":"2026-05-21T16:14:16.171021Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Coxeter and S.L","venue":null,"work_id":"05363bd3-b172-44bb-8141-0c6939a29933","year":1967},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:e536b09f971c422eb039f805ad70ac1cedda2c8ef93d5039df74512a5164aae3","observation_id":"555ed1ab-4c3b-4f92-9aa9-22027919c2e1","resolution":{"observed_at":"2026-05-21T16:14:16.175655Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"fe3ecbe9-1a27-4d14-be6e-8337a1756215","year":2021},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:b38eca3036bb2c37cf24189fd2475142a34f1773c80188bddcc5271c4a3eb0e0","observation_id":"e0ad3839-948c-4cf7-a9a0-48f2888f389e","resolution":{"observed_at":"2026-05-21T16:14:16.186142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The approximation of one ma- trix by another of lower rank.Psychometrika, 1(3):211–218","venue":null,"work_id":"aa615960-b489-4c4f-be4a-4e0f378c346b","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:187b4d206670c1b43603017aed845b8567fd4d2b92a05b3dd449e6d60dc1be06","observation_id":"726b61be-452d-4772-bc58-29033d4b3457","resolution":{"observed_at":"2026-05-21T16:14:16.190837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Task singular vectors: Reducing task interference in model merging","venue":null,"work_id":"f74bd842-be5d-4555-8c5d-fac74e76eac2","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:a4e5addef2009086c2a1c70444e90577ce0396f36ac58c71677db2fb3c180554","observation_id":"90df06b0-687f-4b96-987f-e0941089b271","resolution":{"observed_at":"2026-05-21T16:14:16.156341Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Delving deep into rectifiers: Surpassing human-level per- formance on imagenet classification","venue":null,"work_id":"bc5734ed-c738-4123-bd23-916ca6a2f04b","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:b9777934843592335e8cc58930bf7c7aeb686b00fdf5b62d69bc9f7747e9fafa","observation_id":"c587684a-3c54-4f1e-a924-91d23828aa3d","resolution":{"observed_at":"2026-05-21T16:14:16.146151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.IEEE J","venue":null,"work_id":"3585c90d-8068-41c2-8575-87d56d0349db","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:3acd081d6edd5bf5932318f8fb4e3b84e782f00a24f82e71c9b510a544a66f6b","observation_id":"690fb43f-8a2e-4a5e-9783-5de21a75257b","resolution":{"observed_at":"2026-05-21T16:14:16.160017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Dissecting fine-tuning unlearning in large language models","venue":null,"work_id":"132c8bf5-e8a7-45ba-b453-48512f529be6","year":2024},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:ab20a70760730c34f049ee788014295f1842970ff5a4003c0a4cdb0dc9429497","observation_id":"fa476e59-bb66-4b90-a497-746d544c6cef","resolution":{"observed_at":"2026-05-21T16:14:16.164726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Horn and C.R","venue":null,"work_id":"3da82c87-4e1e-4918-bbb9-ccb9fa4ca4c2","year":1990},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:411f3df85cee7e87b9e4f12a30bf0645418991669413c90c9f0f19748fc69bbc","observation_id":"5f6ef147-a6d8-47c3-bf2d-81733219da1f","resolution":{"observed_at":"2026-05-21T16:14:16.138123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen- Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":"f41aa2b0-c9a2-4788-829c-8e5378966b59","year":2022},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:c129a94973ff3aa98c17c153116595ac76e87415b0999efae9d7c069fd781d62","observation_id":"59e9e7ea-9121-4462-ab64-2eb4932a528c","resolution":{"observed_at":"2026-05-21T16:14:16.269273Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Decor- related batch normalization","venue":null,"work_id":"1fd187f8-bc01-470b-bd97-faa852264fc0","year":2018},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:35d7a346a03a12777c52cc2142ae18c11aeb3f6dd70f367720333a4689ac9315","observation_id":"5dd4bfd2-f3c7-4435-ae43-08733d6cf189","resolution":{"observed_at":"2026-05-21T16:14:16.250849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Editing models with task arithmetic","venue":null,"work_id":"bcbe4a62-d1cd-4c34-81c0-4e92d6f598b5","year":2023},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:7b6234a501de3c347598d2f37f59163514de8e43100a14f9a3b72849ff1ef21f","observation_id":"7c3f1469-efc5-4e41-989b-379e6ab3bda0","resolution":{"observed_at":"2026-05-21T16:14:16.246447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Batch normalization: Accelerating deep network training by reducing internal co- variate shift","venue":null,"work_id":"f7cd11e3-80f9-4ccb-86cf-f5caedbde136","year":2015},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:3c177454a75418972c6badbb415ef5b935f8decb621da6952f769237c4f73c1e","observation_id":"c188be18-e329-491a-a045-dc5f2a439033","resolution":{"observed_at":"2026-05-21T16:14:16.194501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neu- ral tangent kernel: Convergence and generalization in neural networks","venue":null,"work_id":"2883998f-e859-4fd3-90ed-e673dcb7ea77","year":2018},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:fef2637ce4de01b77755c5aa08a3abc2008b26dff0ea7a19363c8284a75b5938","observation_id":"1b360ee1-d899-46c9-8883-07bf4dcb2c67","resolution":{"observed_at":"2026-05-21T16:14:16.271577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Su, and Li Shen","venue":null,"work_id":"db0d2105-c9ac-45d9-bead-6e1a1ec199d8","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:900139238f56bea32cc271b595d15128712778d564cb4cf1f780e5e714f484f0","observation_id":"2c481feb-99ee-41c2-828c-86aabf6cfaed","resolution":{"observed_at":"2026-05-21T16:14:16.240051Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2001.08361","last_updated":"2020-01-23T03:59:20Z","snapshot_observed_at":"2026-07-06T08:52:12.656082Z","submitted_at":"2020-01-23T03:59:20Z","title":"Scaling Laws for Neural Language Models","version":1},"cited_work":{"arxiv_id":"2001.08361","doi":"10.1145/3616855.3635845","metadata_source":"pith","pith_arxiv_id":"2001.08361","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scaling Laws for Neural Language Models","venue":"cs.LG","work_id":"b7dd8749-9c45-4977-ab9b-64478dce1ae8","year":2020},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2001.08361","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:270daeb4e89572e07497b23dd9f085182df013e8fdf4ce6d2885f7a75012e778","observation_id":"f5369317-bdca-4c42-9ef9-021868bbf24d","resolution":{"observed_at":"2026-05-10T06:36:36.492940Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Collecting a large-scale dataset of fine-grained cars","venue":null,"work_id":"34b398ba-8b18-4c92-aabd-f99232cb573a","year":2013},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:9f66c48af4d20de3ea64f9a0290dc8c4d3a317a251cf0150811b85356774ae97","observation_id":"22adc0c8-f43d-4209-99a6-05a63f71d08e","resolution":{"observed_at":"2026-05-21T16:14:16.237766Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Lecun, L","venue":null,"work_id":"7684801f-0252-4e4e-88c4-ecfd5b733b89","year":1998},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:c704c784b3e2de943d9fef58a0e7f870acad72ca56431a7c659542fc14d93115","observation_id":"f69caa3c-5649-47d3-a35c-d724f3268b82","resolution":{"observed_at":"2026-05-21T16:14:16.217501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Re- visiting catastrophic forgetting in large language model tun- ing","venue":null,"work_id":"b851ee30-d6c6-4f63-a7a3-ffe376248c71","year":2024},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:526313d80b73056a7d3d15b71ef888127b84238b86b7fd49442bc116eabc1b9e","observation_id":"c031edca-a0c5-4edf-a7d7-9c90457a6f6e","resolution":{"observed_at":"2026-05-21T16:14:16.256683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When is task vector provably effec- tive for model editing? A generalization analysis of nonlin- ear transformers","venue":null,"work_id":"17648b27-89c0-44b7-9cb0-6ec02c05fc46","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:261599e70811abbfe1f7a6bf82114797ae5bbdda8895e0a4c338d59db10558a7","observation_id":"e9cfa475-f6a5-4f98-a6c9-b47794d258a3","resolution":{"observed_at":"2026-05-21T16:14:16.253949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Luenberger and Y","venue":null,"work_id":"cc9d3197-0df2-4284-8ad1-a5188dcb7cf7","year":2008},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:3af001af9bcc38c4e1de3ace83a451fb04d241ba4725e58352dc4cafc2695913","observation_id":"bc374cde-b488-4cd8-93bc-ac51a1376c3e","resolution":{"observed_at":"2026-05-21T16:14:16.223973Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.05215","last_updated":"2024-01-10T15:27:41Z","snapshot_observed_at":"2026-08-11T01:10:45.479575Z","submitted_at":"2024-01-10T15:27:41Z","title":"Pre-trained Large Language Models for Financial Sentiment Analysis","version":1},"cited_work":{"arxiv_id":"2401.05215","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.05215","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pre-trained large language mod- els for financial sentiment analysis.CoRR, abs/2401.05215","venue":null,"work_id":"5aa0953f-5aec-4e2f-9e66-6e9f1cea9619","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2401.05215","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:47ce8c7a2f2e641314231c94166c9cc4ce4d0a860d859fa0652869850a0ca4e1","observation_id":"cf2b9f92-179c-43a8-a3c1-adf07745262a","resolution":{"observed_at":"2026-05-10T06:36:36.497857Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08747","last_updated":"2025-01-05T04:09:00Z","snapshot_observed_at":"2026-08-10T01:52:30.559515Z","submitted_at":"2023-08-17T02:53:23Z","title":"An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning","version":5},"cited_work":{"arxiv_id":"2308.08747","doi":"10.48550/arxiv.2308.08747","metadata_source":"pith","pith_arxiv_id":"2308.08747","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning","venue":"cs.CL","work_id":"3e52a549-8994-4fc0-921b-ae16d32f1acc","year":2023},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2308.08747","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:8081a603500fc8ebe5c45993cd33b3f725fcdbcf0a344b3588269ec5c03ce2a0","observation_id":"6076451f-76a2-4010-a19a-e24e5c40b71f","resolution":{"observed_at":"2026-05-18T08:26:42.058060Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3f425306-6f86-4d80-a6fa-6016592024ad","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:145a5fe4c9c2bd627442e2684f9cb1e1906a4b3da2c12f162282e446d7086750","observation_id":"c1a25dbe-18c6-4cd0-baf8-41b9d4065d1b","resolution":{"observed_at":"2026-05-21T16:14:16.248674Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Spectral normalization for generative ad- versarial networks","venue":null,"work_id":"9ce1b0c7-2933-42e4-b313-0bb0fa9cc3e0","year":2018},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:8d513086a2d5acb00d0be2e665d0318890dc6f9d0fe35da28cf7292ca8a28fa5","observation_id":"9fd6643c-84b1-4c1c-8f8e-22b16d025487","resolution":{"observed_at":"2026-05-21T16:14:16.259041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"On the stability of fine-tuning BERT: miscon- ceptions, explanations, and strong baselines","venue":null,"work_id":"8b99fe12-fd29-401c-ad0e-ebeffafd1c28","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:d540d2a79f3c3d14bbf7b7a455e4a2c5a2edd7d873cdc4a1a32443082de39ecb","observation_id":"e768f7f6-e449-4265-8d38-f055d739942e","resolution":{"observed_at":"2026-05-21T16:14:16.264644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reading digits in natural images with unsupervised feature learning","venue":null,"work_id":"4ac2710a-9f43-40b3-8361-ac9a2dc9b92a","year":2011},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:cecc7aed24e16081ca18675c1ca88e36b33bb99b4a2288657d0e92a5e45c6d2f","observation_id":"0101d38e-6efa-4af3-81ac-da55ea7d0195","resolution":{"observed_at":"2026-05-21T16:14:16.219826Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Task arithmetic in the tangent space: Improved editing of pre-trained models","venue":null,"work_id":"9c9e0293-1579-4b14-b8ba-7dbbb0535b75","year":2023},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:0ba1b95a5c6d3ca019a29d04bcaf62b0638f0dba22c682b0fd69aecd863b6e6e","observation_id":"442f332d-7ba0-4c7a-8d9f-dd21144abee4","resolution":{"observed_at":"2026-05-21T16:14:16.242333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"b496c4d3-396d-4113-83b1-92a6aaf77485","year":2021},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:4bfce7175aaf47145a85f2d55aeb2562e8e7305c576ba45a80af5793274350fd","observation_id":"b4c303db-2112-4060-8916-9f01320dc4be","resolution":{"observed_at":"2026-05-21T16:14:16.244357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Rivlin.The Chebyshev Polynomials","venue":null,"work_id":"f42f82cf-5b49-4ac1-bea0-999cebf259f7","year":1974},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:2afb919cf9202c7e1fd9163bd235e423244c7c388e50fd11bea4fdd32732411c","observation_id":"c168b418-5c1f-4363-847d-dbee61d83658","resolution":{"observed_at":"2026-05-21T16:14:16.232720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Rudin.Principles of Mathematical Analysis","venue":null,"work_id":"940659d1-d1a4-4a44-91e9-305b509e00ba","year":1976},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:4893e5b604ba42c02202ce0004384eb408a5af35e47a5998b097c0134d834d40","observation_id":"4a629b0c-83f8-4957-b4da-dc7effded875","resolution":{"observed_at":"2026-05-21T16:14:16.209045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5a3cf6c7-6f4f-4182-9cc2-6cfc184faa93","year":2018},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:5e8672de10daa7e8fabf9051bc872071671bbbfb5f1c74901fbf36af51251c74","observation_id":"75aaa5b1-fcec-44a2-8783-f564e0d5dad5","resolution":{"observed_at":"2026-05-21T16:14:16.200342Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Saxe, James L","venue":null,"work_id":"86695eaf-0963-4bb3-bc20-93979374806a","year":2014},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:e80f4d9875e6f6d6b83d66c5e86729960b859e7ff02da4176b3180717aa4abfa","observation_id":"58f9b9c7-6b95-4241-8986-3840587174b5","resolution":{"observed_at":"2026-05-21T16:14:16.214572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The german traffic sign recognition bench- mark: A multi-class classification competition","venue":null,"work_id":"098bd3d2-1fd5-4089-8766-b456320e82c5","year":2011},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:f0668b00faa3238b6e9208793f9ac5f3d5b6ba6680497350de11bde0731c3865","observation_id":"3af6449d-c40e-415c-a455-86cb1eb41cb8","resolution":{"observed_at":"2026-05-21T16:14:16.228226Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Model merging with SVD to tie the knots","venue":null,"work_id":"dec45eab-d761-4c19-bd12-f067ba77f0e1","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:fde2814dabefdc0fd1d23aa9973e11ac087c61ca349da01a49903521a467804b","observation_id":"f9e3fc85-cb1b-48c9-a2c9-044ebb789981","resolution":{"observed_at":"2026-05-21T16:14:16.266840Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Parameter-efficient multi-task model fusion with partial linearization","venue":null,"work_id":"2c231bfd-9aa4-4e8a-bdc2-330465447687","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:51f399d0ffe98e81bea0f8795f51274c5191ab0ecc08f0614bb27e7b372b6542","observation_id":"16c282e5-46cc-42b7-900a-19c5503e7049","resolution":{"observed_at":"2026-05-21T16:14:16.204415Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":"2302.13971","doi":"10.48550/arxiv.2302.13971","metadata_source":"pith","pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LLaMA: Open and Efficient Foundation Language Models","venue":"cs.CL","work_id":"c018fc23-6f3f-4035-9d02-28a2173b2b9d","year":2023},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:68b731c70e1b1a3e921e881e3873ebc59da938634beb3c29fd8052cbec874d1d","observation_id":"8c7f4900-d685-4b7c-b06a-6e9cb47d4b28","resolution":{"observed_at":"2026-05-10T06:36:36.475767Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-08T16:08:17.350515+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-08T16:08:17.350515+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Gomez, Lukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"5e2c94b8-8862-4ee9-bfa1-9bd19db1ff68","year":2017},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:5db1de89987175890421872949a3b1c36c3f1ddf8bac2947719a39d0ea53ef2e","observation_id":"ae2e2758-904e-4589-aa0c-fa9b77cc2c77","resolution":{"observed_at":"2026-05-21T16:14:16.230437Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Morcos, Hongseok Namkoong, Ali Farhadi, Yair Carmon, Simon Kornblith, and Ludwig Schmidt","venue":null,"work_id":"126ce1bb-4dc0-4703-8c16-f76bef9df059","year":null},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:144eeb87e7e7b1cf193c03b276481631149c72803c47401a74dea26d07396fc5","observation_id":"9ee09404-76b9-47ee-be8d-dd9fcaf7c199","resolution":{"observed_at":"2026-05-21T16:14:16.275712Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ehinger, Aude Oliva, and Antonio Torralba","venue":null,"work_id":"b771dc3d-b143-4316-93f9-7604360d35a1","year":2010},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:4694d1e23051f8996a9e5103f420e3703fcf2fdcfe9a46ceba070833dc5777ad","observation_id":"8744618d-188a-4e4c-a2d4-45e21c5858c6","resolution":{"observed_at":"2026-05-21T16:14:16.206941Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18729","last_updated":"2025-01-09T03:34:55Z","snapshot_observed_at":"2026-07-06T19:58:13.816588Z","submitted_at":"2024-11-27T20:08:55Z","title":"Multi-Task Model Merging via Adaptive Weight Disentanglement","version":2},"cited_work":{"arxiv_id":"2411.18729","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.18729","snapshot_observed_at":"2026-07-04T13:39:51.039526Z","title":"Multi-task model merging via adaptive weight disentanglement","venue":null,"work_id":"afcd1eae-3857-488b-a438-30b2eb3fa272","year":2024},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2411.18729","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:611752ac7e24fb2989162a1c7cc898ef9623817fe940bc1141c0b9e70655e306","observation_id":"02e018f8-4f26-4546-ac24-136f8cb24e7e","resolution":{"observed_at":"2026-05-10T06:36:36.485713Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Raf- fel, and Mohit Bansal","venue":null,"work_id":"960ba617-ad3e-4fe3-8a9d-723164b527b4","year":2023},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:facc87e1db5691d82f347dbb99b92bfe8cc15e72590cbbb42f31b141d705ba05","observation_id":"f0057e66-8dc7-44c0-844f-ec403ec4f556","resolution":{"observed_at":"2026-05-21T16:14:16.221854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07666","last_updated":"2025-12-31T04:06:49Z","snapshot_observed_at":"2026-08-07T23:28:24.025478Z","submitted_at":"2024-08-14T16:58:48Z","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","version":5},"cited_work":{"arxiv_id":"2408.07666","doi":"10.48550/arxiv.2408.07666","metadata_source":"pith","pith_arxiv_id":"2408.07666","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities","venue":"cs.LG","work_id":"add1bfdb-f9a2-4280-a81e-ae663e81b3e3","year":2024},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2408.07666","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:15a0cc16668abf69d603f5a0528973b64e249ca1b98e710bb27330bedb539bfb","observation_id":"74df2e62-d748-4412-afda-cef1c99a4b90","resolution":{"observed_at":"2026-05-17T22:16:05.189340Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Adamerging: Adap- tive model merging for multi-task learning","venue":null,"work_id":"485f4a39-7809-48ca-9e46-86f77e1982d9","year":2024},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:5701937dd55020df68631b10c1782d01c017d7899219a5a60aa023ec3041b534","observation_id":"08d6815b-8d2e-4453-815c-e1af7ca5e09f","resolution":{"observed_at":"2026-05-21T16:14:16.211599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.13260","last_updated":"2025-07-17T16:09:05Z","snapshot_observed_at":"2026-08-09T04:50:22.665113Z","submitted_at":"2025-07-17T16:09:05Z","title":"Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy","version":1},"cited_work":{"arxiv_id":"2507.13260","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.13260","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Efficient adaptation of pre-trained vision transformer underpinned by approximately orthogonal fine- tuning strategy.CoRR, abs/2507.13260","venue":null,"work_id":"a9ac0ab9-0fa5-4c21-86f5-ba31950d14f6","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2507.13260","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:073fc29d5bfadfee7c2023b11e4b2ebdda24a77525c5561491ab2bc3068e1081","observation_id":"ad96f94c-b7f0-4d7b-96d7-47a488a454e5","resolution":{"observed_at":"2026-05-10T06:36:36.483282Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Editing large language models: Problems, methods, and op- portunities","venue":null,"work_id":"641c0620-fb69-4212-9123-4fe8d2bc60f8","year":2023},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:853a8aa6a1ae93c983924f2d997531c1dc8991981f155196be8a22674b27ef3b","observation_id":"cb66fa37-c500-476e-beba-a51a7bc07b28","resolution":{"observed_at":"2026-05-21T16:14:16.197877Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"McAuley, and Hiroki Naganuma","venue":null,"work_id":"43f90ad2-02b4-40e7-a631-70421865f8e6","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:583bd5de64be66670989e35918633f80720f9ba72cf310756a3b4ea0bfbc1282","observation_id":"bbc68394-651d-4f99-8f9b-b11c61b345cf","resolution":{"observed_at":"2026-05-21T16:14:16.235303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Low-rank few-shot adaptation of vision-language models","venue":null,"work_id":"c6cb928b-d76a-453f-a851-004bb8894199","year":2024},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:23f019068e1fa290cd969edf7967f7f0effacb38b253aa8863f2e9beb039d922","observation_id":"8ae1207b-23e1-48fa-8a6c-184dbb6217d3","resolution":{"observed_at":"2026-05-21T16:14:16.226090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.01015","last_updated":"2026-06-23T02:24:17Z","snapshot_observed_at":"2026-08-09T22:17:27.125284Z","submitted_at":"2025-02-03T03:18:26Z","title":"Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic","version":5},"cited_work":{"arxiv_id":"2502.01015","doi":"10.48550/arxiv.2502.01015","metadata_source":"pith","pith_arxiv_id":"2502.01015","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Efficient model editing with task vector bases: A theoretical framework and scalable approach.CoRR, abs/2502.01015","venue":"cs.LG","work_id":"e7e2d5f1-c549-41b2-a982-94636b2fd3e1","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2502.01015","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:ee42fe32f5e45087f7ba82d09955fedb9261a4e86a538d49c56bbf1f764c24cb","observation_id":"2205c2a4-58c3-425e-b4c2-01d60d53b15f","resolution":{"observed_at":"2026-06-24T02:14:20.267926Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unraveling lora interference: Orthogonal subspaces for robust model merging","venue":null,"work_id":"cc753da0-3ba1-4ed3-9a52-e2940d7d17c4","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:142f963e0aa11a10fae5cfb7229909ffc3659f2afcfde0ac51672aa81245b538","observation_id":"4ad9bbf7-e24c-450c-a65e-1fd1471c3f1a","resolution":{"observed_at":"2026-05-21T16:14:16.273716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2201.05337","last_updated":"2023-08-24T08:16:57Z","snapshot_observed_at":"2026-07-06T12:27:19.431793Z","submitted_at":"2022-01-14T08:32:20Z","title":"A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models","version":5},"cited_work":{"arxiv_id":"2201.05337","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.05337","snapshot_observed_at":"2026-07-03T11:18:03.188027Z","title":"arXiv preprint arXiv:2201.05337 , year=","venue":null,"work_id":"f89c8aeb-4f01-4710-aa5e-66497f60a8cf","year":2025},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"cited_paper":"/paper/2201.05337","citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:254a38d1aff1ee7e5d15a05326a7929e494b8ff6f8ed3fc19049efbf236764d0","observation_id":"0365e2ec-53d6-4c6d-b35f-c1fa9301f710","resolution":{"observed_at":"2026-05-10T06:36:36.480752Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"in-domain dis- entanglement","venue":null,"work_id":"6091bcee-4606-4f25-9141-686019d414f1","year":2022},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:63ce620f810ad409b9edc887f4a7e6e226ebd53d72606d1996551b9e511361ad","observation_id":"9cf46e57-b080-406e-9838-8e1f6d7545be","resolution":{"observed_at":"2026-05-21T16:14:16.261647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1460.8413","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"(68) This implies that the squared Euclidean distance between the random vectorJ(x)and its meanµ J is bounded by C 2σ2 J with a probability of at least1−1/C 2","venue":null,"work_id":"0ddf9121-2037-424c-9501-81df66c51e54","year":1960},"citing_paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-10T06:35:33.560079Z"},"links":{"citing_paper":"/paper/2604.17078"},"observation_digest":"sha256:c7eb3f3ee43780a216f779cc6e65c1cd6f40845e5641e2a24e1c9dc7da13381a","observation_id":"dc9c0f0c-4b20-44bf-a335-4d0a023a586d","resolution":{"observed_at":"2026-05-10T06:36:36.488366Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2604.17078","last_updated":"2026-04-18T17:34:56Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-11T06:37:17.503805Z","submitted_at":"2026-04-18T17:34:56Z","title":"Understanding and Enforcing Weight Disentanglement in Task Arithmetic"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":1,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":2,"verified_exact":8,"verified_fuzzy":44},"total_outbound_references":57},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2604.17078."}