{"as_of":"2026-08-08T15:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b45cefeed336b94f62a3992aa4e18f7b7ef6217abea225ffbd084e01f390a673","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T07:52:08.823198Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2607.10985/citation-record","integrity":"/paper/2607.10985/integrity","json":"/paper/2607.10985/citation-record.json","paper":"/paper/2607.10985"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:52:08.823198Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:20238ef8861a72628795ad3a64a9ac7db345f3374e76c5449777b45a7366ca62","observation_id":"9ed586e3-e3fd-4a17-b683-0491125c2338","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"Journal of Machine Learning Research (JMLR)23, 1–39 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:610069a7e2c77bdc62b99e00cdd1da8f05813c08cc8eff66287a8d6b794cd084","observation_id":"ad8362d3-90e3-46db-bd1a-8faa920dbce0","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:92b629c4fff913785b20a383782c8404a3ce1ecdc6be3a25447328c840008f2f","observation_id":"15e84b8d-6415-45e3-b451-b71581bcf1e8","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.12379","last_updated":"2024-07-04T02:55:57Z","snapshot_observed_at":"2026-07-06T17:05:27.005904Z","submitted_at":"2023-12-19T18:11:19Z","title":"Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.12379","snapshot_observed_at":"2026-07-14T07:52:08.823198Z","title":"arXiv preprint arXiv:2312.12379 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"cited_paper":"/paper/2312.12379","citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:a46187ce907b1861889251d286e926e9cddb3d50a39eb64f98e0ac017099855a","observation_id":"92dcccf6-1b3d-4daf-b83e-13e22c557ed0","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Conference on Learning Representations (ICLR) (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:3b16eb688d8e3a6f7812804468b923f024eee6301f3c703f725c43167d4fdd5f","observation_id":"57603594-0db0-4e33-86f1-c1ccc3e80dd7","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.13269","last_updated":"2024-08-19T03:31:19Z","snapshot_observed_at":"2026-07-06T15:58:08.777051Z","submitted_at":"2023-07-25T05:39:21Z","title":"LoraHub: Efficient Cross-Task Generalization via Dynamic LoRA Composition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.13269","snapshot_observed_at":"2026-07-14T07:52:08.823198Z","title":"arXiv preprint arXiv:2307.13269 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"cited_paper":"/paper/2307.13269","citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:40fbec301f06e9ba0753cf8e1652a29abf3c7bc13ae768e5f5e768dffad25cc0","observation_id":"b3cd21cc-3fd4-4e93-9677-6b9770e698a4","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"Neural Computation3(1), 79–87 (1991).https://doi.org/10.1162/ neco.1991.3.1.79","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:9c5e37bf458697eed29d4898175105ebeddfc7ec00a7e8c0ded896a5556f11c1","observation_id":"4f327f3a-7084-4f0b-84eb-fb406d5212f6","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-07-14T07:52:08.823198Z","title":"In: European Confer- ence on Computer Vision (ECCV)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:fae60643c2eeab186898da63e2b5ed030fca8ffdaec5afbe90a9fcad7b5a3e6a","observation_id":"aa70a3e7-47c0-4f65-8bbb-c7930427e570","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"Neural Computation6(2), 181–214 (1994)","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:902e51fd4ea83a50530c39db38a3bacc6474ca6c6a3f8d44c4dcdcf9eb912204","observation_id":"2b524708-9cae-49ca-84ab-5e3a5c2ac46d","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Conference on Learning Representations (ICLR) (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:0faf6619f3d468ffcf3cb555831cf037cd4773e257c483b16912eb73205c4699","observation_id":"a93426c1-52fe-48ae-aa7e-9aa39d044fc9","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"arXiv preprint arXiv:2503.07137 (2025) MED-DSLC 17","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:de5e29dd0cb7607fb9a27bc67ee0c30db62b2f3ed9337e7f04f14834216b50fe","observation_id":"01d5e46c-879f-4332-9f9f-3e62dbf46e34","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05859","last_updated":"2024-06-20T20:31:51Z","snapshot_observed_at":"2026-07-06T17:27:33.275341Z","submitted_at":"2024-02-08T17:43:22Z","title":"Learning to Route Among Specialized Experts for Zero-Shot Generalization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05859","snapshot_observed_at":"2026-07-14T07:52:08.823198Z","title":"arXiv preprint arXiv:2402.05859 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"cited_paper":"/paper/2402.05859","citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:13e903b73c2e64098b098253e628479ba5f11f4f86630bd5cd60d8a4d9221e79","observation_id":"be36b84f-6027-4818-92d8-ca1075d24017","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: Salakhut- dinov, R., Kolter, Z., Heller, K., Weller, A., Oliver, N., Scarlett, J., Berkenkamp, F","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:ea2a208a1cab5155aef3a0e5ccef010655446449f9ae4d16b9fdcf717532479a","observation_id":"d5b6171b-83bd-4c96-9898-b3753fb4c609","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:263162740e4dd808e6f0b4fd60731ad872c3f07994982ed8bfce980e015beb14","observation_id":"a326824f-26b9-4488-a94e-bcd37956db57","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: Proceedings of the 31st International Conference on Computational Linguistics (Industry Track)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:c04473ec337ea9b7a0af8ad50a7dd4bafcda44a9c6255417e7b7bc52b0b9356a","observation_id":"4314aafa-5d2a-4ed4-b720-20908dfa41ee","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Conference on Machine Learning (ICML)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:08b38d723dcbdccd862cb96e920a8aa6525b231969ab91bb0f9bb17afcadf70d","observation_id":"76e7ec8c-d7b2-407a-a4e3-d0007d866375","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"European Conference on Computer Vision (ECCV) 2024, LNCS15059, 422–438 (2025)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:523f7a5b0a4607273872b6bd37f27f00d31ad77873c59feb6a771f4400c3f495","observation_id":"2937e8b9-7e96-4d1c-97df-5cee7d33e6d6","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Conference on Learning Representations (ICLR) (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:59573142eb28d64eba647216054df4ad317721c0f700ccf084a8eb70c8797594","observation_id":"a9543705-033b-4269-b224-2eebefb3cffb","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Conference on Learning Representations (ICLR) (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:36042de1f3623051f4e5cfaea76c41c108890a937fb747292148ca3b88edee1d","observation_id":"52fd75a3-3e82-4f41-89d6-a84bd19d52ff","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: Forty-second International Conference on Machine Learning (2025),https://openreview.net/forum?id= EqoKRSR5Pa","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:c1336cba5cc1200d496dbabd6a871f32aceb139bde6fd7c74694aad08ad020b4","observation_id":"85e77c8a-0ae8-44cd-97e4-9c36248169ea","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Confer- ence on Learning Representations (2024),https://openreview.net/forum?id= uWvKBCYh4S","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:25e8bc3a0e55bca4becf5250a913f0b9d932d4dff62d0592ac61095009db3f19","observation_id":"09623795-fb4e-416c-9426-9b6682257500","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:af235d6d15d065c390daab974318be4f9c79c30ab8ee1e20a4ae9f90de8d5b66","observation_id":"5259e9b9-59ec-465c-b4ce-afa8a1ad6636","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Conference on Learning Representations (ICLR) 2025 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:b3439c4d0205842d6c32dc3f924c9e85b21d502db5b7ea76e2a3eee2e8b1cf37","observation_id":"8c36d63e-1afe-423c-ac3b-c4c93c8ccc4c","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.15875","last_updated":"2025-05-21T16:34:37Z","snapshot_observed_at":"2026-08-07T15:10:10.483947Z","submitted_at":"2025-05-21T16:34:37Z","title":"Decouple and Orthogonalize: A Data-Free Framework for LoRA Merging","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.15875","snapshot_observed_at":"2026-07-14T07:52:08.823198Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"cited_paper":"/paper/2505.15875","citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:5967337496429996092b9ec1016ca74a811952a9e0eb403b25a05de8a0257a5f","observation_id":"636950ec-ce25-42a7-ad6c-003386c1cd34","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:e7a18c9b0f36738cea6961c6948a59d3c605f987d81263f4697eca731b4b8434","observation_id":"f06e784f-aaac-493d-a926-69456580260b","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","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":"2026-07-14T07:52:08.823198Z","title":"In: International Journal of Computer Vision (IJCV)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-14T07:52:08.823198Z"},"links":{"citing_paper":"/paper/2607.10985"},"observation_digest":"sha256:a1122664a9b87915197dff88f62c83c866af3eb91be966b3381961837e33cf28","observation_id":"62537e56-3163-430b-b76f-cbdf62177f12","resolution":{"observed_at":"2026-07-14T07:52:08.823198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.10985","last_updated":"2026-07-13T01:18:32Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T03:54:20.273185Z","submitted_at":"2026-07-13T01:18:32Z","title":"MED-DSLC: Multi-Expert-Domain Classification via Domain Supervision and Logit Calibration"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":25,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2607.10985."}