{"as_of":"2026-08-23T08:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4129f52302fa7dd44318678c759c44299b190160ef291a79f0381ec7b1a864a4","coverage":[{"denominator":19,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":19,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T11:08:42.432710Z","state":"measured"},{"denominator":19,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":19,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+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/2412.15790/citation-record","integrity":"/paper/2412.15790/integrity","json":"/paper/2412.15790/citation-record.json","paper":"/paper/2412.15790"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2010.01179","last_updated":"2021-06-04T14:52:04Z","snapshot_observed_at":"2026-08-19T07:02:43.514897Z","submitted_at":"2020-10-02T19:53:05Z","title":"The Surprising Power of Graph Neural Networks with Random Node Initialization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.01179","snapshot_observed_at":"2026-08-11T11:08:42.100154Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.100154Z"},"links":{"cited_paper":"/paper/2010.01179","citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:46da388934233770220bbb32d1913455b857529d9e20bb22aba35041347a85b2","observation_id":"0241fc27-6f10-4a0f-8c81-414824d687d9","resolution":{"observed_at":"2026-08-11T11:08:42.100154Z","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":"2026-08-11T11:08:43.272119Z","title":null,"venue":null,"work_id":"49b061f7-dcc1-4d14-b32c-90309476cbaf","year":2023},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.171302Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:93b503d5074f09bc63704920eddfaa92871e5537b532716ec440b6f44df69607","observation_id":"31185f27-639b-49bc-9508-df8e7129ce47","resolution":{"observed_at":"2026-08-11T11:08:43.317615Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:43.196651Z","title":null,"venue":null,"work_id":"0507afca-d453-4e96-a83e-f0f8c5c5dc21","year":2023},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.197762Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:ba5ae89132295c48b34d6438f6d32a068a43f6628e76d648e92fd9146cbea143","observation_id":"763089e6-fae7-49ed-8d45-0e7070fba234","resolution":{"observed_at":"2026-08-11T11:08:43.229348Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:43.173808Z","title":null,"venue":null,"work_id":"32dfc54c-60db-4330-ad67-5130f19bcba7","year":2022},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.204606Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:03437dd8196c22b9f6040b3fe2620a2a36ab1963fc37b6173b058103cfdb4373","observation_id":"f1da4076-59da-4367-b2ba-530a84eec11b","resolution":{"observed_at":"2026-08-11T11:08:43.181117Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:43.150080Z","title":null,"venue":null,"work_id":"a0af56a2-ed0d-470e-b92a-7f2991644a5e","year":2018},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.211487Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:4860fd2f5f916c0e26afdfe93608a3c74f68fbd21d10133a09d0010afa6ad4e9","observation_id":"2a2a2ffa-c851-406b-a23c-86102bd9b7a1","resolution":{"observed_at":"2026-08-11T11:08:43.158392Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:43.125350Z","title":null,"venue":null,"work_id":"ec411db9-f61b-4c42-ab89-925c271c9038","year":2024},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.218005Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:497813995a2bfd4d8f63f451a0f1bb010c0a7b3960be971dd8954967bad841b0","observation_id":"990843c8-6712-43d8-afd7-d94cbf94ef58","resolution":{"observed_at":"2026-08-11T11:08:43.134205Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:42.227305Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.227305Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:08695e5ac481501c087500ac55462c8cee1d7bdce0a73f91e97e8bf4acdbeb37","observation_id":"dd7487c9-f990-4189-bcf0-d5516860065a","resolution":{"observed_at":"2026-08-11T11:08:42.227305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.02907","last_updated":"2017-02-22T09:55:36Z","snapshot_observed_at":"2026-08-17T10:49:36.026134Z","submitted_at":"2016-09-09T19:48:41Z","title":"Semi-Supervised Classification with Graph Convolutional Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.02907","snapshot_observed_at":"2026-08-11T11:08:42.232941Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.232941Z"},"links":{"cited_paper":"/paper/1609.02907","citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:d73136da48b571b024caf556c9a959d7ecdf3181d20305b262dfb733e0d6039b","observation_id":"32ced73d-502a-4d3f-8a9f-cf9bf388a764","resolution":{"observed_at":"2026-08-11T11:08:42.232941Z","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":"2026-08-11T11:08:42.936466Z","title":null,"venue":null,"work_id":"ebad7b90-f787-41f4-a489-2bfdc95c879d","year":2022},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.239467Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:e0ef4f21fb24e1a1c7a2c135c635e58d3c0eae874328eb0e40e74aec94dab9ef","observation_id":"4f112203-fb14-4159-9851-dcbf0b2d777e","resolution":{"observed_at":"2026-08-11T11:08:43.017083Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.13013","last_updated":"2022-09-30T20:00:47Z","snapshot_observed_at":"2026-08-17T16:31:39.627621Z","submitted_at":"2022-02-25T23:11:59Z","title":"Sign and Basis Invariant Networks for Spectral Graph Representation Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.13013","snapshot_observed_at":"2026-08-11T11:08:42.247083Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.247083Z"},"links":{"cited_paper":"/paper/2202.13013","citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:e7b37d61a3b4f8f20afefbb8975a09bf83e32859e2fabc6cd020ebf38f07df5d","observation_id":"0136128f-b10f-47a7-adb3-76a742ecc1e6","resolution":{"observed_at":"2026-08-11T11:08:42.247083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03509","last_updated":"2021-05-10T02:23:20Z","snapshot_observed_at":"2026-08-11T19:52:55.524234Z","submitted_at":"2020-09-08T04:04:04Z","title":"Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.03509","snapshot_observed_at":"2026-08-11T11:08:42.252529Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.252529Z"},"links":{"cited_paper":"/paper/2009.03509","citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:ccbc6962267b4d8ea73534a29f58d94cfa11b37403ae35b544ad0b4549359d1a","observation_id":"9045233c-cc71-4e42-8b57-b773db56a5e3","resolution":{"observed_at":"2026-08-11T11:08:42.252529Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1710.10903","last_updated":"2018-02-04T19:13:29Z","snapshot_observed_at":"2026-08-13T22:35:40.714745Z","submitted_at":"2017-10-30T12:41:12Z","title":"Graph Attention Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1710.10903","snapshot_observed_at":"2026-08-11T11:08:42.284891Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.284891Z"},"links":{"cited_paper":"/paper/1710.10903","citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:275e5890035797d3d0b7ff922c3084157891b9a903397d491a0f3fde4900d424","observation_id":"9b30256c-99a4-462e-ba09-688cb594e115","resolution":{"observed_at":"2026-08-11T11:08:42.284891Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.00826","last_updated":"2019-02-22T19:15:54Z","snapshot_observed_at":"2026-08-21T22:36:44.881291Z","submitted_at":"2018-10-01T17:11:31Z","title":"How Powerful are Graph Neural Networks?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.00826","snapshot_observed_at":"2026-08-11T11:08:42.358465Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.358465Z"},"links":{"cited_paper":"/paper/1810.00826","citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:3d3a8cb88f2a193be2c6dd6955c0db3ad1939f3c8e364b6a631b4e0c1b625a86","observation_id":"276b3923-cf9f-4783-8a4d-5ba6054e5c92","resolution":{"observed_at":"2026-08-11T11:08:42.358465Z","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":"2026-08-11T11:08:42.914480Z","title":null,"venue":null,"work_id":"b8f2fb44-9364-4cca-840f-34f119992ae2","year":2023},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.403964Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:4ea4e817323671feb86bb7ddf0195933775ca0eab79110629a21ea2ecb549b7a","observation_id":"a13d11db-838f-40ee-a9ad-c51d1a8e439c","resolution":{"observed_at":"2026-08-11T11:08:42.920669Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1038/s41467-021-26624-7","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:08:42.489764Z","title":null,"venue":null,"work_id":"99c0bbae-edee-4af0-8f04-a5025f9228d6","year":2021},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.410631Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:ef9aded0f90605ed041051df0eec67bb9e505fa6eb230d90a76a75686f1bcd70","observation_id":"8d68fe42-3d96-484b-b61e-9a8cfb8ee57e","resolution":{"observed_at":"2026-08-11T11:08:42.544247Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:42.895666Z","title":null,"venue":null,"work_id":"d33c9fa9-f66d-4bb6-b127-31db8387adc5","year":2023},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.416562Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:b44bf6c03202cf65cf5ee99df5fc0e5eb78346729d6d0f00c630addebe3c48a1","observation_id":"eb88c12c-af9e-4d11-8201-c5cbacc612a4","resolution":{"observed_at":"2026-08-11T11:08:42.901074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:42.422168Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.422168Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:990f0004e0e2d3db3409dd1142543ad91d9da9eb655a6425315d8c14fe42f22d","observation_id":"08ed550e-055f-4991-af5a-2719173519d9","resolution":{"observed_at":"2026-08-11T11:08:42.422168Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T11:08:42.860695Z","title":null,"venue":null,"work_id":"8a2a733c-e300-410c-9dc1-822c5eb17a9d","year":2024},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.427619Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:7b9a495da6309d2dac776668a0bda6cd8e4d56a39934df2b086267cb7ec50417","observation_id":"a93003b3-a4e1-469d-81bd-913026a2d876","resolution":{"observed_at":"2026-08-11T11:08:42.881499Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+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":"2026-08-11T11:08:42.753198Z","title":null,"venue":null,"work_id":"2d93145d-0cb2-44b2-ae1f-183645e0aec4","year":2022},"citing_paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T11:08:42.432710Z"},"links":{"citing_paper":"/paper/2412.15790"},"observation_digest":"sha256:deb18d2dc6dae6b262a8adb44a3853c5c3609b589da9045389974076707890ba","observation_id":"f6004ab1-fad6-427c-bc53-15287ebfb8e8","resolution":{"observed_at":"2026-08-11T11:08:42.795969Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2412.15790","last_updated":"2024-12-20T11:05:26Z","latest_version":1,"primary_category":"q-bio.QM","snapshot_observed_at":"2026-08-17T16:32:31.912595Z","submitted_at":"2024-12-20T11:05:26Z","title":"GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning"},"reference_resolution":{"displayed":19,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":16,"verified_exact":1,"verified_fuzzy":0},"total_outbound_references":19},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2412.15790."}