{"as_of":"2026-08-19T11:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b75be06e2706693a4c5808ff3d06927200d144a5c0196fba12784db580fa663","coverage":[{"denominator":25,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":25,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:23:04.528715Z","state":"measured"},{"denominator":25,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":25,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.10522/citation-record","integrity":"/paper/2608.10522/integrity","json":"/paper/2608.10522/citation-record.json","paper":"/paper/2608.10522"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.15147","last_updated":"2022-03-15T22:16:20Z","snapshot_observed_at":"2026-08-16T18:13:46.019053Z","submitted_at":"2021-06-29T08:08:33Z","title":"SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.15147","snapshot_observed_at":"2026-08-15T14:23:04.422322Z","title":"arXiv preprint arXiv:2106.15147 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.422322Z"},"links":{"cited_paper":"/paper/2106.15147","citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:c573b009cd3f475f2fda97e0dccef4eaa1c3bbd153ee2cdc92d7211f03552334","observation_id":"8edc1828-15af-4ef7-bf55-90b53e8f7b37","resolution":{"observed_at":"2026-08-15T14:23:04.422322Z","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":"2026-08-15T14:23:04.427909Z","title":"In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.427909Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:4e281f2c6f56dd9529ff6d3dccd42fb91d217af88cffdc619d709bd9a12328b7","observation_id":"e477b895-77ad-4fe3-b2ac-36e39c12abd0","resolution":{"observed_at":"2026-08-15T14:23:04.427909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:05.106888Z","title":"Nature562(7726), 203–209 (2018)","venue":null,"work_id":"a8f08468-23be-4265-bba6-a51e8450aaa1","year":2018},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.432676Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:36deb95734fdfe59e0aad39036650f77da19510681d8af7c6413b3cc087646a1","observation_id":"db0b03b7-9da0-4dc2-8c0c-e2357c0edb8b","resolution":{"observed_at":"2026-08-15T14:23:05.111237Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.437363Z","title":"In: International conference on machine learning","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.437363Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:eda3c04c08d9a8eb23349aee7281d0907d0b0c9cc84c063754dd3bb2981c0730","observation_id":"faa64821-570d-42d4-947a-cc363f081894","resolution":{"observed_at":"2026-08-15T14:23:04.437363Z","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":"2026-08-15T14:23:04.441950Z","title":"In: Proceedings of the 2019 conference of the North American chapter of the association for computational linguistics: human language technologies, volume 1 (long and short papers)","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.441950Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:43c9453c495a07816ef24304dab6b2876d01eb6b12efcd1f6923e54c8a9ebb73","observation_id":"faeb580d-b5d0-4015-badf-69f8274c0ed3","resolution":{"observed_at":"2026-08-15T14:23:04.441950Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-15T14:23:04.447156Z","title":"arXiv preprint arXiv:2010.11929 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.447156Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:c778c2a986b40ae5432214b8254ebd62f8b73d4e562a5754cbce56aa39277d36","observation_id":"b62b3139-346d-44da-9020-1730890906a9","resolution":{"observed_at":"2026-08-15T14:23:04.447156Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:05.075787Z","title":"In: European Con- ference on Computer Vision","venue":null,"work_id":"b76e085a-0f78-4d90-91b6-bc8fddb4f727","year":2024},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.452166Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:6f83944747623e24e4831f903b5bb807e574e75746c33981b72e43bb92300dff","observation_id":"c4525277-dce3-4527-ae70-b59c817b11f7","resolution":{"observed_at":"2026-08-15T14:23:05.080272Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:05.061258Z","title":"https://kaggle.com/competitions/diabetic-retinopathy-detection (2015), kaggle","venue":null,"work_id":"0b22f0b7-efbf-43b3-88a8-53afc24a7313","year":2015},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.456454Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:40f06b7caf7749ae18602814f03a1a19e3b3684db0f511eaeaf059157a923b43","observation_id":"b0af591f-ed47-4ced-9439-e465e8e60ee9","resolution":{"observed_at":"2026-08-15T14:23:05.065899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.460582Z","title":"arXiv preprint arXiv:2512.14026 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.460582Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:742126a0dd103e6a5d28456dfd93b4b2edffef2312500ffb253bcf89c6c90bd9","observation_id":"ec30d8d5-9cc7-48a7-8156-51e3d00bae52","resolution":{"observed_at":"2026-08-15T14:23:04.460582Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:05.046517Z","title":"Advances in neural information processing systems34, 18932–18943 (2021)","venue":null,"work_id":"d3041b12-6ff4-45fd-b0ab-f3b4abde465e","year":2021},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.464665Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:1ff4429ed99d3aa1e078a1c439dfdec61b4a87632753177ef016146c2e442a3f","observation_id":"a4b7cf71-5467-42f9-828b-14d3c899268c","resolution":{"observed_at":"2026-08-15T14:23:05.051599Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.918427Z","title":"In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition","venue":null,"work_id":"62a9297d-6c36-47dc-b24d-f95075029b3d","year":2023},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.468797Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:8c9406a459412efb24c8b12ce537d3f518ea10c296bb8c179477ef5169b69ce7","observation_id":"5e9c52ef-0bf2-4422-804a-f299aca9ecbe","resolution":{"observed_at":"2026-08-15T14:23:04.922943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.473171Z","title":"Nature637(8045), 319–326 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.473171Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:5bc0cbff3a98e6882f1a64b46eb49e71f30ba7fc481888443ebeaa0427eb3d86","observation_id":"f42485b0-0c3e-43da-9b8e-efdd92ccf5a0","resolution":{"observed_at":"2026-08-15T14:23:04.473171Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.895625Z","title":"NPJ digital medicine3(1), 136 (2020)","venue":null,"work_id":"834bef68-4d64-4492-b2e6-511138a66620","year":2020},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.477102Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:364b853be2fd467a67f384281bb903fb2e8183b0a92a51498eb5cffa039156f2","observation_id":"f9feac9f-30de-4669-b519-0dd2eee76367","resolution":{"observed_at":"2026-08-15T14:23:04.900830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.881916Z","title":"Scientific Data11(1), 884 (2024)","venue":null,"work_id":"64fb3369-55cd-4277-9512-ad36a6163e47","year":2024},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.481480Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:5379145b18cea3ffb44264fefb8fd7f58b409efbc402159cb6fbe16af33f41c6","observation_id":"b8f16dfe-3247-4e91-8282-8a9d6bca2eb8","resolution":{"observed_at":"2026-08-15T14:23:04.886379Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.867692Z","title":"npj Digital Medicine8(1), 708 (2025)","venue":null,"work_id":"051423e1-c9d8-4f6f-994d-b7a66ba5cfea","year":2025},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.485716Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:af5de39cb4bcc29eaa073a4ecb82d9757f1b9a403ca00d8782599af4eb9e25e2","observation_id":"f6880e0b-d49f-44de-bf66-4a50c0a6b164","resolution":{"observed_at":"2026-08-15T14:23:04.872232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.489940Z","title":"Bioinformatics36(4), 1234–1240 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.489940Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:4d15acb06facdafb4955b434ab6d4f286f01a1ebc11ce9891151f092f1351bf2","observation_id":"a0e72075-4b73-473a-9472-7493e00d937f","resolution":{"observed_at":"2026-08-15T14:23:04.489940Z","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":"2512.03445","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.676968Z","title":"arXiv preprint arXiv:2512.03445 (2025)","venue":null,"work_id":"829895af-89ab-46ac-8397-625742c3fd65","year":2025},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.494050Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:3f9b807ef6ee9dd52174d627d822af3a73117c66870087241e6b7a11d4cc0f33","observation_id":"7edf962f-c7e7-4751-8080-e20e77aa4b52","resolution":{"observed_at":"2026-08-15T14:23:04.686470Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.844548Z","title":"Advances in neural information pro- cessing systems31(2018)","venue":null,"work_id":"0167ac88-b3e9-410f-b6f2-c4be3fbd9eea","year":2018},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.498275Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:d9957c67e0f8760bcb4ede9070e6675f5f862cecc09ecfbf296eff80eef2f1a3","observation_id":"6f7747b5-5c1d-425a-8826-0ba9929f67c7","resolution":{"observed_at":"2026-08-15T14:23:04.849089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10104","last_updated":"2025-08-13T18:00:55Z","snapshot_observed_at":"2026-08-18T01:07:23.737664Z","submitted_at":"2025-08-13T18:00:55Z","title":"DINOv3","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.10104","snapshot_observed_at":"2026-08-15T14:23:04.502641Z","title":"arXiv preprint arXiv:2508.10104 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.502641Z"},"links":{"cited_paper":"/paper/2508.10104","citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:107d675f5db6d511a356f25cb6fa856063cc5d4f44f42dbc3111d1bac8a76156","observation_id":"e6a0652f-1717-4223-afed-dec0ea401ed3","resolution":{"observed_at":"2026-08-15T14:23:04.502641Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.01342","last_updated":"2021-06-02T17:51:05Z","snapshot_observed_at":"2026-08-16T18:20:11.383711Z","submitted_at":"2021-06-02T17:51:05Z","title":"SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.01342","snapshot_observed_at":"2026-08-15T14:23:04.506876Z","title":"arXiv preprint arXiv:2106.01342 (2021)","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.506876Z"},"links":{"cited_paper":"/paper/2106.01342","citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:c4f442fccfc76197c511774ff3aeba229babf9f50f1c4659a03880842d2fa18d","observation_id":"eda72f34-e97c-467a-b3ee-aa74a71fe66e","resolution":{"observed_at":"2026-08-15T14:23:04.506876Z","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":"2026-08-15T14:23:04.511404Z","title":"NeuroImage260, 119505 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.511404Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:d9c7fe4300d14a57fcd133409318cfd58f387c600086308cc38eb68ad34a611e","observation_id":"a1a20886-78f7-48e2-bed9-02d272c022f0","resolution":{"observed_at":"2026-08-15T14:23:04.511404Z","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":"2026-08-15T14:23:04.516040Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.516040Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:277e1ba1957026a6af9d1deedfa2365880a7e248a26cabfcf75a0d3f189845a4","observation_id":"76aeabc5-f5d8-475b-bfb2-8ed1b20afb24","resolution":{"observed_at":"2026-08-15T14:23:04.516040Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.812801Z","title":"In: International Conference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":"50e371a6-8c4a-43a7-9c46-931ff92bf0ab","year":2025},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.520172Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:251008d4bfb156a7eb821d062a30ad230e885051ee4fb3d81e66e8c2f3427f6a","observation_id":"6445cf2a-5b45-4375-a2ce-babeb2daca5b","resolution":{"observed_at":"2026-08-15T14:23:04.817456Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.798967Z","title":null,"venue":null,"work_id":"5b9645d4-32f4-402b-a5ed-fe643dc98203","year":2026},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.524462Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:8dacde25cf281ccdc0d917fc61abcfdf482f26d926cf23f1ff1ab2093dee8500","observation_id":"54180676-1003-4fcc-87a6-8d4afa6bfe0e","resolution":{"observed_at":"2026-08-15T14:23:04.803284Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T14:23:04.783553Z","title":"Translational vision science & technol- ogy11(7), 12–12 (2022)","venue":null,"work_id":"6b8c705e-f767-468d-851c-fb8999b7af71","year":2022},"citing_paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T14:23:04.528715Z"},"links":{"citing_paper":"/paper/2608.10522"},"observation_digest":"sha256:4bf6b63e193061614f14557195a6f6ea8ee5397c97441042f31f5fd274af3efe","observation_id":"2bdb491c-ffb7-4612-8834-b095a7df02a9","resolution":{"observed_at":"2026-08-15T14:23:04.788987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.10522","last_updated":"2026-08-11T05:57:09Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-19T07:41:33.974500Z","submitted_at":"2026-08-11T05:57:09Z","title":"Unlocking the Power of Medical Tabular Data via Semantic-Aware Multimodal Pre-training"},"reference_resolution":{"displayed":25,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":1,"verified_fuzzy":11},"total_outbound_references":25},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2608.10522."}