{"as_of":"2026-08-08T03:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b9a1561b4567ca68a4f330150a88a148150d50f983af56714bc5cbc2fdf81e37","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:01:16.738843Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:47:53.890757Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T17:30:00.735970Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.08982","snapshot_observed_at":"2026-08-05T14:47:53.890757Z","title":"On finetuning tabular foundation models.arXiv preprint arXiv:2506.08982,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.20906","last_updated":"2026-06-22T12:08:08Z","snapshot_observed_at":"2026-08-05T14:47:53.287879Z","submitted_at":"2025-08-28T15:36:37Z","title":"Turning Tabular Foundation Models into Graph Foundation Models","version":3},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T14:47:53.890757Z"},"links":{"cited_paper":"/paper/2506.08982","citing_paper":"/paper/2508.20906"},"observation_digest":"sha256:7e5149f25409a6bd005b2a7d9ec155bd66974c3af385f9ab238394d762db168f","observation_id":"5bbcab51-ff8b-4164-95df-475751516003","resolution":{"observed_at":"2026-08-05T14:47:53.890757Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"cited_work":{"arxiv_id":"2506.08982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08982","snapshot_observed_at":"2026-07-04T17:30:00.735970Z","title":"On finetuning tabular foundation models","venue":null,"work_id":"5ac0b497-7a51-4ccf-a4dc-ba8e0465871c","year":2025},"citing_paper":{"arxiv_id":"2509.21465","last_updated":"2026-05-15T11:35:18Z","snapshot_observed_at":"2026-07-06T22:30:46.129271Z","submitted_at":"2025-09-25T19:30:39Z","title":"Talking Trees: Reasoning-Assisted Induction of Decision Trees for Tabular Data","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-21T22:05:11.146329Z"},"links":{"cited_paper":"/paper/2506.08982","citing_paper":"/paper/2509.21465"},"observation_digest":"sha256:98010fb2ef9f3da8bbf555113d64521d7df4653350be9c8a1d347adec617e336","observation_id":"d01ca53b-7331-46b8-8256-8a96b94edddf","resolution":{"observed_at":"2026-05-21T22:05:41.535846Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"cited_work":{"arxiv_id":"2506.08982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08982","snapshot_observed_at":"2026-07-04T17:30:00.735970Z","title":"On finetuning tabular foundation models","venue":null,"work_id":"5ac0b497-7a51-4ccf-a4dc-ba8e0465871c","year":2025},"citing_paper":{"arxiv_id":"2605.06047","last_updated":"2026-05-08T20:57:06Z","snapshot_observed_at":"2026-07-06T23:18:36.537416Z","submitted_at":"2026-05-07T11:34:21Z","title":"TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T14:07:51.545351Z"},"links":{"cited_paper":"/paper/2506.08982","citing_paper":"/paper/2605.06047"},"observation_digest":"sha256:178c4391158f045e0b2495af27876c821994ede2738d0b88e473f917e984ae9b","observation_id":"e3384382-8d30-47ed-9dce-fdd26931512b","resolution":{"observed_at":"2026-05-11T18:46:08.351343Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"cited_work":{"arxiv_id":"2506.08982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08982","snapshot_observed_at":"2026-07-04T17:30:00.735970Z","title":"On finetuning tabular foundation models","venue":null,"work_id":"5ac0b497-7a51-4ccf-a4dc-ba8e0465871c","year":2025},"citing_paper":{"arxiv_id":"2605.06047","last_updated":"2026-05-08T20:57:06Z","snapshot_observed_at":"2026-07-06T23:18:36.537416Z","submitted_at":"2026-05-07T11:34:21Z","title":"TFM-Retouche: A Lightweight Input-Space Adapter for Tabular Foundation Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T01:27:56.674153Z"},"links":{"cited_paper":"/paper/2506.08982","citing_paper":"/paper/2605.06047"},"observation_digest":"sha256:c64a2e567081734ff1547adb624871646398958de29ac1bc20115e3cff5f7a1f","observation_id":"1159d0c2-8589-4cff-8ae1-2aa92d526b2d","resolution":{"observed_at":"2026-05-12T07:56:31.970538Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"cited_work":{"arxiv_id":"2506.08982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08982","snapshot_observed_at":"2026-07-04T17:30:00.735970Z","title":"On finetuning tabular foundation models","venue":null,"work_id":"5ac0b497-7a51-4ccf-a4dc-ba8e0465871c","year":2025},"citing_paper":{"arxiv_id":"2606.05265","last_updated":"2026-06-03T16:25:38Z","snapshot_observed_at":"2026-08-07T12:39:29.238476Z","submitted_at":"2026-06-03T16:25:38Z","title":"Data-efficient flood depth prediction through domain-aware coreset selection and tabular foundation models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-28T07:28:16.798915Z"},"links":{"cited_paper":"/paper/2506.08982","citing_paper":"/paper/2606.05265"},"observation_digest":"sha256:2a2dee09dbd478619b21e3dffc01070a63e3119375c948bb71698bf5935ab078","observation_id":"16345b56-c0b7-4b31-8e54-6c4c6269d5ab","resolution":{"observed_at":"2026-07-02T06:16:43.720777Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"cited_work":{"arxiv_id":"2506.08982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08982","snapshot_observed_at":"2026-07-04T17:30:00.735970Z","title":"On finetuning tabular foundation models","venue":null,"work_id":"5ac0b497-7a51-4ccf-a4dc-ba8e0465871c","year":2025},"citing_paper":{"arxiv_id":"2606.24509","last_updated":"2026-06-23T12:41:43Z","snapshot_observed_at":"2026-07-31T23:50:19.221504Z","submitted_at":"2026-06-23T12:41:43Z","title":"A Fair Evaluation of Graph Foundation Models for Node Property Prediction","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-26T00:50:39.622302Z"},"links":{"cited_paper":"/paper/2506.08982","citing_paper":"/paper/2606.24509"},"observation_digest":"sha256:bfb349490668b6fcc68b39390d7096676a955e73e610b8ce9e870a51c5c5d982","observation_id":"f1626919-aca0-4295-8e4b-3b5d0e1c1844","resolution":{"observed_at":"2026-07-04T16:09:57.539915Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"cited_work":{"arxiv_id":"2506.08982","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.08982","snapshot_observed_at":"2026-07-04T17:30:00.735970Z","title":"On finetuning tabular foundation models","venue":null,"work_id":"5ac0b497-7a51-4ccf-a4dc-ba8e0465871c","year":2025},"citing_paper":{"arxiv_id":"2606.25197","last_updated":"2026-06-23T21:40:47Z","snapshot_observed_at":"2026-08-07T16:52:58.398315Z","submitted_at":"2026-06-23T21:40:47Z","title":"Efficient Adaptive Data Acquisition via Pretrained Belief Representations","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-25T23:37:10.555295Z"},"links":{"cited_paper":"/paper/2506.08982","citing_paper":"/paper/2606.25197"},"observation_digest":"sha256:7b192c3f5e0b8a67c26433326196ab21c9d5385f108975ca2b69c1ff5179b042","observation_id":"c2487fbe-dd0e-4b51-a975-c66ae4fc3dae","resolution":{"observed_at":"2026-07-04T17:30:00.737658Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.08982/citation-record","integrity":"/paper/2506.08982/integrity","json":"/paper/2506.08982/citation-record.json","paper":"/paper/2506.08982"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:01:18.079304Z","title":"den Breejen, F., Bae, S., Cha, S., Kim, T.-Y ., Koh, S","venue":null,"work_id":"f37e21cf-6e0d-4d2a-8f80-3a2038bb30e5","year":2023},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:15.854455Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:529264e02dbc21e1b63f3259711985be141be75f049a49d2f55b0c6316821e27","observation_id":"038998ab-bf2c-4e01-9ed0-9f077df47d8b","resolution":{"observed_at":"2026-08-07T05:01:18.127395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:01:17.915574Z","title":"and Ruder, S","venue":null,"work_id":"8b79122d-f160-4a3c-b190-21d4cb139b2b","year":2018},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:15.968032Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:dac0ccdb9ded62e50cb92f8a59a4185f59c0f3821a372dcb53846c83925c5b4d","observation_id":"e9693b6a-53d1-4740-9735-9b335efbef68","resolution":{"observed_at":"2026-08-07T05:01:17.997064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:01:17.611775Z","title":null,"venue":null,"work_id":"1538b70b-ae77-43a9-8f00-87e161a78a16","year":1950},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.199377Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:c937ce289212c0ab4f2e188d4924376a24e7ffec020f40d2e09846d104b0aa02","observation_id":"7d5e08d6-9ec8-44a6-b176-01c9adf00ded","resolution":{"observed_at":"2026-08-07T05:01:17.696169Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:01:17.370663Z","title":"Prokhorenkova, L., Gusev, G., V orobev, A., Dorogush, A","venue":null,"work_id":"eda7aeb1-9379-4035-b956-7f78f6b80d41","year":2022},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.312275Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:be47ea6ce8f66b6afdffa74aad201e87a2ac28120e5131d7065e4c1c11633fb2","observation_id":"82c21601-189e-4b3c-a7dd-618b825cc706","resolution":{"observed_at":"2026-08-07T05:01:17.478489Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2207.03208","last_updated":"2022-07-12T11:56:17Z","snapshot_observed_at":"2026-08-03T22:23:42.091266Z","submitted_at":"2022-07-07T10:29:31Z","title":"Revisiting Pretraining Objectives for Tabular Deep Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.03208","snapshot_observed_at":"2026-08-07T05:01:16.355836Z","title":"Revisiting pretraining objectives for tabular deep learning.arXiv, 2207.03208v1,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.355836Z"},"links":{"cited_paper":"/paper/2207.03208","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:a6ea86e2bf618b3ab160807dd814786d7c231de4cf1139641b593c4884f79ad9","observation_id":"7eadd182-4a60-4b3e-a333-f73ccd4e6b08","resolution":{"observed_at":"2026-08-07T05:01:16.355836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05207","last_updated":"2024-06-07T18:43:33Z","snapshot_observed_at":"2026-08-04T11:22:42.464512Z","submitted_at":"2024-06-07T18:43:33Z","title":"Retrieval & Fine-Tuning for In-Context Tabular Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05207","snapshot_observed_at":"2026-08-07T05:01:16.422966Z","title":"Retrieval & fine-tuning for in-context tabular models.arXiv preprint arXiv:2406.05207,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.422966Z"},"links":{"cited_paper":"/paper/2406.05207","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:fb75af49e0cc8e4db452f8ef17c774d5b112fc393f13372b1c799b265a7fd127","observation_id":"45d5a59e-d1ec-4d1c-90f0-38809e222c62","resolution":{"observed_at":"2026-08-07T05:01:16.422966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16156","last_updated":"2024-05-25T09:47:59Z","snapshot_observed_at":"2026-07-06T18:19:47.765281Z","submitted_at":"2024-05-25T09:47:59Z","title":"Mixture of In-Context Prompters for Tabular PFNs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16156","snapshot_observed_at":"2026-08-07T05:01:16.456087Z","title":"Mixture of in-context prompters for tabular pfns","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.456087Z"},"links":{"cited_paper":"/paper/2405.16156","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:a2f1308506b657993bd8ba4cb960fa47fb4637929c05ea0a9b87bf11a1192a8c","observation_id":"cf966524-9fca-41af-88b4-c9ca5f2b721e","resolution":{"observed_at":"2026-08-07T05:01:16.456087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.03257","last_updated":"2025-03-03T16:38:18Z","snapshot_observed_at":"2026-08-04T18:52:09.493139Z","submitted_at":"2024-07-03T16:38:57Z","title":"Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.03257","snapshot_observed_at":"2026-08-07T05:01:16.500496Z","title":"Modern neighborhood components analysis: A deep tabular baseline two decades later.arXiv, 2407.03257v1,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.500496Z"},"links":{"cited_paper":"/paper/2407.03257","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:d96398bdaa70facb9dfe0d36a4a81a6f5c24b137e52b28d4532509240a1ced02","observation_id":"f683dc8e-a48c-40b3-8056-89fd414fe3f3","resolution":{"observed_at":"2026-08-07T05:01:16.500496Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04691","last_updated":"2024-10-07T02:12:22Z","snapshot_observed_at":"2026-07-06T19:28:48.185066Z","submitted_at":"2024-10-07T02:12:22Z","title":"Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04691","snapshot_observed_at":"2026-08-07T05:01:16.555087Z","title":"T., Wang, F., Yan, Y ., Shen, X., and Zhang, Q","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.555087Z"},"links":{"cited_paper":"/paper/2410.04691","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:29dedddf27253184ee006cb4aa57e6c6c38a2ca449fa57f615b5fc7aa0f99465","observation_id":"8f115ec4-e37f-4ab5-a86f-5bb7366ed90c","resolution":{"observed_at":"2026-08-07T05:01:16.555087Z","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":"2026-08-07T05:01:17.198907Z","title":"To run it one must also obtain the TabPFNv2 checkpoints from hf.co/Prior-Labs","venue":null,"work_id":"bccaa85a-db13-41c7-98b8-5e4081bf380e","year":2024},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.647683Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:4d696c860ebe1572eee8a942180d6fea2eb602d6c60f478753ae3a025a47677d","observation_id":"5aad260e-c68a-4091-bd78-c3bcd3b42f09","resolution":{"observed_at":"2026-08-07T05:01:17.270008Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:01:17.051596Z","title":"A more thorough analysis of such cases is reserved for future work","venue":null,"work_id":"230f9cb9-f8df-47ad-a66d-f05f53eb9af1","year":2022},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.738843Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:e0109f4cdbe9d423fcf9e01f06aa9b05e66eee3116c8593f9f5767940854a5c8","observation_id":"413abd8b-232c-45e3-a0c5-28a335715d74","resolution":{"observed_at":"2026-08-07T05:01:17.116217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:01:17.763934Z","title":"Big transfer (bit): General visual representation learning","venue":null,"work_id":"5d586c7c-dbe7-4226-8c6a-560ef60373d5","year":2020},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.057972Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:b51611ad068298e6a5e030a56bf285e06ea79b6a049c15bf68a4e1db9251a221","observation_id":"1e841f17-8975-471c-9d92-fcf7c9f86f23","resolution":{"observed_at":"2026-08-07T05:01:17.844400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-07T07:43:16.294957Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-07T05:01:16.011402Z","title":"J., Shen, Y ., Wallis, P., Allen-Zhu, Z., Li, Y ., Wang, S., Wang, L., and Chen, W","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.011402Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:8c1c43905a530cfaaa57d230ae7ca1ff18231a160af77a0031456257a1d78562","observation_id":"e89a21c1-d573-444f-834f-c3a00111c2ab","resolution":{"observed_at":"2026-08-07T05:01:16.011402Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.08691","last_updated":"2021-09-02T17:34:41Z","snapshot_observed_at":"2026-08-06T15:24:34.790850Z","submitted_at":"2021-04-18T03:19:26Z","title":"The Power of Scale for Parameter-Efficient Prompt Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.08691","snapshot_observed_at":"2026-08-07T05:01:16.129556Z","title":"The power of scale for parameter-efficient prompt tuning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.129556Z"},"links":{"cited_paper":"/paper/2104.08691","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:d3e028b70888894e6565ea8b2ee5931fe90821a0ae6bc37e2f9b60c87ca7195c","observation_id":"f445a64e-2342-4e4c-9bff-e5a180c3adb4","resolution":{"observed_at":"2026-08-07T05:01:16.129556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03090","last_updated":"2019-11-08T07:05:20Z","snapshot_observed_at":"2026-07-06T08:35:28.740170Z","submitted_at":"2019-11-08T07:05:20Z","title":"What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.03090","snapshot_observed_at":"2026-08-07T05:01:16.092844Z","title":"What would elsa do? freezing layers during transformer fine-tuning","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.092844Z"},"links":{"cited_paper":"/paper/1911.03090","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:4dfa13b78bd45a1c35bf68fb0836b62677df635f00fe45b682fe411a85d2a10e","observation_id":"1e095396-bfff-4435-96cc-6e05062d2135","resolution":{"observed_at":"2026-08-07T05:01:16.092844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07726","last_updated":"2024-10-10T17:28:23Z","snapshot_observed_at":"2026-08-05T10:06:10.880743Z","submitted_at":"2024-07-10T14:57:46Z","title":"PaliGemma: A versatile 3B VLM for transfer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07726","snapshot_observed_at":"2026-08-07T05:01:15.755481Z","title":"S., Kolesnikov, A., Wang, X., Salz, D., Neumann, M., Alabdulmohsin, I., Tschannen, M., Bugliarello, E., et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:15.755481Z"},"links":{"cited_paper":"/paper/2407.07726","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:33e1f37ab76274b417a0ce43c973195756d75742b831034ef43b90e2e6c36640","observation_id":"c914df49-5887-444a-b602-0fd9b0e6381b","resolution":{"observed_at":"2026-08-07T05:01:15.755481Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.06971","last_updated":"2024-02-10T15:23:45Z","snapshot_observed_at":"2026-07-06T17:28:23.089590Z","submitted_at":"2024-02-10T15:23:45Z","title":"In-Context Data Distillation with TabPFN","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.06971","snapshot_observed_at":"2026-08-07T05:01:16.239003Z","title":"In-context data distillation with tabpfn.arXiv preprint arXiv:2402.06971,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.239003Z"},"links":{"cited_paper":"/paper/2402.06971","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:5e4bf1d4c73e704248627e6caaf727b4be473fbf9bf87a67dcc5260a6fc88f85","observation_id":"60ef153e-f65d-4310-9154-839ef74eb1b6","resolution":{"observed_at":"2026-08-07T05:01:16.239003Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11137","last_updated":"2024-10-21T16:48:06Z","snapshot_observed_at":"2026-07-06T17:31:29.199601Z","submitted_at":"2024-02-17T00:02:23Z","title":"TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11137","snapshot_observed_at":"2026-08-07T05:01:15.917513Z","title":"T., Cherepanova, V ., Hegde, C., Hutter, F., Goldblum, M., Cohen, N., and White, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:15.917513Z"},"links":{"cited_paper":"/paper/2402.11137","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:1086f6aa24bfc944b3e7151c9ad175ec9d3f21aadfb883a2c536002f7e89c69d","observation_id":"00fd822f-25ad-408e-8f81-8c96a9b0c739","resolution":{"observed_at":"2026-08-07T05:01:15.917513Z","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":"2026-08-07T05:01:15.790788Z","title":"D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:15.790788Z"},"links":{"citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:22482471d51061000ba537d3c1955fdee77a56f41976bad249d67f513175ed9f","observation_id":"786f7d78-df5c-4e7f-919b-ca7a31e24369","resolution":{"observed_at":"2026-08-07T05:01:15.790788Z","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":"2026-08-05T11:00:48.512556Z","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":"2026-08-07T05:01:16.394064Z","title":"B., and Goldstein, T","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T05:01:16.394064Z"},"links":{"cited_paper":"/paper/2106.01342","citing_paper":"/paper/2506.08982"},"observation_digest":"sha256:91bcd3dcae41176bf3b7dd7d3fe311f1915151ef8bdf5fed20d77799c641e98f","observation_id":"1d180baa-2d8b-4f52-bccf-26d36e070ebc","resolution":{"observed_at":"2026-08-07T05:01:16.394064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.08982","last_updated":"2025-06-11T09:47:49Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T05:43:15.063082Z","submitted_at":"2025-06-10T16:52:31Z","title":"On Finetuning Tabular Foundation Models"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":14,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":20},"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 20 of 20 outbound references and 7 inbound Pith citation observations for arXiv:2506.08982."}