{"as_of":"2026-08-08T02:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c7b4e13586b3df0a2c9396a9b30924f089df31e095c532f3df94b8e6048fe872","coverage":[{"denominator":41,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":41,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T12:35:29.923198Z","state":"measured"},{"denominator":41,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":41,"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/2607.21620/citation-record","integrity":"/paper/2607.21620/integrity","json":"/paper/2607.21620/citation-record.json","paper":"/paper/2607.21620"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T12:35:25.693025Z","title":"Aho and Jeffrey D","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:25.693025Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:a002ec338e63c0f1fec7e834ebe756768ed991c7ca9d33fff7da0ac62b609e5e","observation_id":"8882782c-6631-407c-a013-415163df94d7","resolution":{"observed_at":"2026-08-02T12:35:25.693025Z","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":"2026-08-02T12:35:25.823712Z","title":null,"venue":null,"work_id":null,"year":1983},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:25.823712Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:bf4a17231005a8d2861a390731b51ddf579ff465a67fadfdd6eea3e29a29ffe5","observation_id":"7fa8dd9c-1013-41ef-8dc8-3f01120c81dd","resolution":{"observed_at":"2026-08-02T12:35:25.823712Z","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":"2026-08-02T12:35:25.976671Z","title":"Chandra and Dexter C","venue":null,"work_id":null,"year":1981},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:25.976671Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:70af5bad0c409d40bfe503d79edd792ddcec1fd6473e3987bebf702bb3bb38dd","observation_id":"af81866b-459e-4137-875d-3dcc93383c37","resolution":{"observed_at":"2026-08-02T12:35:25.976671Z","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":"2026-08-02T12:35:26.111401Z","title":"Scalable training of","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:26.111401Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:1c53797e9de89965f4d5fe6e5ee4ae502765728f60a44e4b6a137b8ac7a86f9a","observation_id":"e3f2666e-b34d-40ee-882a-87e686e6b3ee","resolution":{"observed_at":"2026-08-02T12:35:26.111401Z","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":"2026-08-02T12:35:26.216020Z","title":null,"venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:26.216020Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:da3baed3d380b66088f1dd5518b868f5a720be94319827ca44e149abe828889f","observation_id":"b4577906-7532-4db9-a736-6c63f1360d46","resolution":{"observed_at":"2026-08-02T12:35:26.216020Z","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":"2026-08-02T12:35:26.321388Z","title":"Tetreault , title =","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:26.321388Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:01adbd1380e90f4c5638c9bdba49b0718abf2431b623aa355ffb43f8a14906c3","observation_id":"49324336-a037-495b-95fe-5a5a677e47b5","resolution":{"observed_at":"2026-08-02T12:35:26.321388Z","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":"2026-08-02T12:35:26.420336Z","title":"A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data , Volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:26.420336Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:3a9754801dd0eee5e7061a1bdc65fea4da895d9bb8338147b51770252cb95e5d","observation_id":"c135c00e-9b1b-4e16-abc5-1d94aabc22cc","resolution":{"observed_at":"2026-08-02T12:35:26.420336Z","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":"2026-08-02T12:35:26.557788Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:26.557788Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:5e6ee0f5395d382b921ad8483310197fdabb293f634fef18ab1a2866b01cc089","observation_id":"2be83b89-54b5-49ca-8bf8-ae47744dfe9b","resolution":{"observed_at":"2026-08-02T12:35:26.557788Z","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":"2026-08-02T12:35:26.721375Z","title":"arXiv preprint arXiv:2502.11528 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:26.721375Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:5f9cc613bdc4e8e9f2830d28b762b4ec20c4061a1e755f0d8adb4f7838671af0","observation_id":"113ab772-551a-4a4e-b643-84f43b6b4a68","resolution":{"observed_at":"2026-08-02T12:35:26.721375Z","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":"2026-08-02T12:35:26.863622Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:26.863622Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:4a5e11bc5341053f3602e1e555a7ee1798391f261636451e55189576bbb87515","observation_id":"d0073047-7508-496c-b14e-3c5f2a672c6c","resolution":{"observed_at":"2026-08-02T12:35:26.863622Z","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":"2026-08-02T12:35:27.030427Z","title":"Nature Machine Intelligence , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.030427Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:299585d67abaa53703064b02d38362f2b370a6923ba2b93f8d17d12ac83e7edb","observation_id":"05b7016c-d717-48cc-a1b0-a4cd1c62ba2b","resolution":{"observed_at":"2026-08-02T12:35:27.030427Z","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":"2026-08-02T12:35:27.183916Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.183916Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:65e6fa0b3e22be3e91119a30f088acc0727e3cb7aa32a5c2bb38e473964acc3a","observation_id":"4d7f6d10-4416-4bb3-bc3c-156a75f6127f","resolution":{"observed_at":"2026-08-02T12:35:27.183916Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11406","last_updated":"2024-06-05T03:29:31Z","snapshot_observed_at":"2026-07-06T15:18:45.940190Z","submitted_at":"2023-04-22T13:42:04Z","title":"LaMP: When Large Language Models Meet Personalization","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.11406","snapshot_observed_at":"2026-08-02T12:35:27.247396Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.247396Z"},"links":{"cited_paper":"/paper/2304.11406","citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:339c21ea8ceb79ec5f2a725c9fc2100cc6d2dd88d90971bac1c30ac98adaa306","observation_id":"0bb685b4-1f3f-4f66-ab62-da11505063c7","resolution":{"observed_at":"2026-08-02T12:35:27.247396Z","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":"2026-08-02T12:35:27.322833Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.322833Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:68e9d753b0e8ad8f44225ad4e2d7605c55b8e72b4bf72992c02dc01fa98dc4d5","observation_id":"02e5f959-c357-4ec8-82d3-b7a4035bf44b","resolution":{"observed_at":"2026-08-02T12:35:27.322833Z","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":"2026-08-02T12:35:27.404960Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.404960Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:3260742cd1bd3e60188f2ddbdc94ab1b5a144df0050e8a71221bfd7b07f3cdc1","observation_id":"07e9aae6-5f98-44c9-ba34-56ddd694bdf4","resolution":{"observed_at":"2026-08-02T12:35:27.404960Z","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":"2026-08-02T12:35:27.485459Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.485459Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:0844cb58d237cd35f34d48e257d03e18cdfa865e22a01fa42c112b7227601996","observation_id":"43aafee4-264b-4516-a91e-5688c9a7eba9","resolution":{"observed_at":"2026-08-02T12:35:27.485459Z","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":"2026-08-02T12:35:27.564504Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.564504Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:308810c75d6860186df064f19d57c62cea6648e074e5147115b0d698e4819d76","observation_id":"6d93f817-2203-4b1f-9b1c-294104656e44","resolution":{"observed_at":"2026-08-02T12:35:27.564504Z","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":"2026-08-02T12:35:27.620324Z","title":"Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.620324Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:aabb113256fdcb2408b37130ba4a498d6c367aef960356e76c55462741170f5d","observation_id":"cf38d81f-21a6-4db8-abcd-065907b75515","resolution":{"observed_at":"2026-08-02T12:35:27.620324Z","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":"2026-08-02T12:35:27.699005Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.699005Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:fff9eb819c28096591700c4f72e8c319f882ada28f7b68c9be95a93433dd7346","observation_id":"f692b011-d91d-4f37-96f7-ec751d9358b3","resolution":{"observed_at":"2026-08-02T12:35:27.699005Z","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":"2026-08-02T12:35:27.752933Z","title":"Steering off Course: Reliability Challenges in Steering Language Models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.752933Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:e178fa0fd1248671da85df1c2f5b81c5da97b114f1dc41a9166bd711a69ccb99","observation_id":"729df470-f9ac-4614-b453-411ab1ff872f","resolution":{"observed_at":"2026-08-02T12:35:27.752933Z","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":"2026-08-02T12:35:27.810426Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.810426Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:3de82c2fcb30ab147d381eff0ff91154632a2316ec45be289b8e570b9f0d508e","observation_id":"afd7a5bf-e86d-45ee-9689-2dfbc334367d","resolution":{"observed_at":"2026-08-02T12:35:27.810426Z","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":"2026-08-02T12:35:27.864878Z","title":"SAE s Are Good for Steering -- If You Select the Right Features","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.864878Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:265389197251335e2bd81b76d8e8d67ab7b3549e49f6de4aa001a823379ed344","observation_id":"3cf32423-e134-4c46-9879-50ecb0f671eb","resolution":{"observed_at":"2026-08-02T12:35:27.864878Z","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":"2026-08-02T12:35:27.924461Z","title":"S tyle R emix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.924461Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:34c354da82b46ffec7d015d803c62384ddcc8912be15cbcd84a18a07a56f6bd8","observation_id":"24f1f87e-2c54-4337-8116-cc0e4d1dfa47","resolution":{"observed_at":"2026-08-02T12:35:27.924461Z","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":"2026-08-02T12:35:27.982564Z","title":"A Survey on Sparse Autoencoders: Interpreting the Internal Mechanisms of Large Language Models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:27.982564Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:4fd8f4737272dda79963dade1c6457fe0d643c9393c6daa722738530a16fe60d","observation_id":"535c23d6-5822-4889-9df5-7d4512edf75d","resolution":{"observed_at":"2026-08-02T12:35:27.982564Z","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":"2026-08-02T12:35:28.021052Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.021052Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:5026e3c97f582340decf16761e74a180a96ed913d70cb013a05699430bed4115","observation_id":"882f8fd8-5b5b-4415-9994-df658ee63b5f","resolution":{"observed_at":"2026-08-02T12:35:28.021052Z","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":"2026-08-02T12:35:28.101546Z","title":"2021 , url =","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.101546Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:b4ddc53ef6b7dfb4943c4f1a25e631fc354c73094ed11d50320af8ac16c29764","observation_id":"e0900d5b-8167-435d-826b-d1f86b1c7e62","resolution":{"observed_at":"2026-08-02T12:35:28.101546Z","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":"2026-08-02T12:35:28.181655Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.181655Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:7c17f0cba912f9f33579007cab01e24f49373995bf6f029c4f8d1f14a0c35f93","observation_id":"e54cf8a2-e615-4b29-a47e-4346bc7a325a","resolution":{"observed_at":"2026-08-02T12:35:28.181655Z","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":"2026-08-02T12:35:28.207395Z","title":"LLM -based Medical Assistant Personalization with Short- and Long-Term Memory Coordination","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.207395Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:a7c6fd25c64f65baf5b6655e3caabb959ffe670173706e628b129e0869ee4ed5","observation_id":"f110239b-8e02-4922-89d8-95eccab846bc","resolution":{"observed_at":"2026-08-02T12:35:28.207395Z","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":"2026-08-02T12:35:28.348212Z","title":"Proceedings of the 2025 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR) , pages =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.348212Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:1eb6511849a981321d4774dc93ac687254512ce82841a4026ab78b19949ee2cd","observation_id":"24d532a9-f5f5-4326-85d9-14059650963e","resolution":{"observed_at":"2026-08-02T12:35:28.348212Z","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":"2026-08-02T12:35:28.493863Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.493863Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:cb4cc1f6bb443637f09e6cf5731951afe2451e494bb4c18648443522599b5e4d","observation_id":"0d74281f-e190-447b-b21a-b27eb3b4e6df","resolution":{"observed_at":"2026-08-02T12:35:28.493863Z","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":"2026-08-02T12:35:28.587919Z","title":"Guided Profile Generation Improves Personalization with Large Language Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.587919Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:d9e827ea020616f5a587e40584765de527bbe72d83ef236c5c9e6e8ccdaffec5","observation_id":"3b732ec7-fc02-49a8-b00c-388871fff442","resolution":{"observed_at":"2026-08-02T12:35:28.587919Z","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":"2026-08-02T12:35:28.692729Z","title":"2025 , eprint=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.692729Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:8ed49976f84c59454c533426177de3e63c45f8991d1bfb74298ba5c11b545102","observation_id":"f6e24140-581f-4100-af66-65fe143585b2","resolution":{"observed_at":"2026-08-02T12:35:28.692729Z","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":"2026-08-02T12:35:28.742212Z","title":"LLM s + Persona-Plug = Personalized LLM s","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.742212Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:bc718581f2116aa0dfe1b5a42895cc0f959f9e2f626e2efaba5e0ffab869ed5c","observation_id":"2b2df5a2-af7e-4a70-947a-77f148c34a1b","resolution":{"observed_at":"2026-08-02T12:35:28.742212Z","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":"2026-08-02T12:35:28.947088Z","title":"Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1 , pages =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:28.947088Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:849b0e39a7eb592f504fd6a6c85ae9b61089784d5ceddacf3c2a65dbcc76a3ec","observation_id":"c9edfd0d-1b54-4052-b052-c2a0c69aa1d6","resolution":{"observed_at":"2026-08-02T12:35:28.947088Z","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":"2026-08-02T12:35:29.072151Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:29.072151Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:78b43d8401a76a09519e78e93f942af6ff4de10191e9b66912636210119d8b5a","observation_id":"758084fb-6e9d-4ee3-8098-392609fd13e5","resolution":{"observed_at":"2026-08-02T12:35:29.072151Z","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":"2026-08-02T12:35:29.211066Z","title":"International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:29.211066Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:c61329d2e5b323b6319768915277d5bb605fe1281b9bd64370777312eedeb38a","observation_id":"ed500017-f130-4436-869e-599a11d3acca","resolution":{"observed_at":"2026-08-02T12:35:29.211066Z","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":"2026-08-02T12:35:29.371495Z","title":"Steering Llama 2 via Contrastive Activation Addition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:29.371495Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:0b60765e65607a53ca8f75925ef2fa563e578dc05b5ead5e164dd305705c629d","observation_id":"59e48808-aeb6-46f6-810e-d79666337be9","resolution":{"observed_at":"2026-08-02T12:35:29.371495Z","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":"2026-08-02T12:35:29.521205Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:29.521205Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:7cf8723ae249efcf1a480317438a021625a12c0bee214d50a276285e954e00a5","observation_id":"6bd25693-06b7-43ff-b3be-a6f1771581b6","resolution":{"observed_at":"2026-08-02T12:35:29.521205Z","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":"2026-08-02T12:35:29.644506Z","title":"T ruth X : Alleviating Hallucinations by Editing Large Language Models in Truthful Space","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:29.644506Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:b4fec26a3ce58bce9689fcb0474dcfce1de21ef6a92cc7b42876abbac96ba1fe","observation_id":"3ba11a1b-381c-4137-af7a-db34290303a2","resolution":{"observed_at":"2026-08-02T12:35:29.644506Z","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":"2026-08-02T12:35:29.809132Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:29.809132Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:34534cbdcaf55e80e01b9d10d10d4b0730bdf4010b74da8e048cfdf7eac15d07","observation_id":"cca9a67d-8481-4f88-96e9-37b43c923801","resolution":{"observed_at":"2026-08-02T12:35:29.809132Z","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":"2026-08-02T12:35:29.923198Z","title":"Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-02T12:35:29.923198Z"},"links":{"citing_paper":"/paper/2607.21620"},"observation_digest":"sha256:3f89ab004b0c557af57542375e69ad6924bcfb1622f73382074d2d4c0e4f4b66","observation_id":"3129274c-1ba6-4342-ab18-bfc3bdae0b38","resolution":{"observed_at":"2026-08-02T12:35:29.923198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21620","last_updated":"2026-06-01T12:42:17Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-06T06:27:50.288322Z","submitted_at":"2026-06-01T12:42:17Z","title":"From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation"},"reference_resolution":{"displayed":41,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":41,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":41},"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 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2607.21620."}