{"as_of":"2026-08-22T07:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a355a3ef7a8f644c6d38f6541a573d1c05d036ece61223e8d0a67daf0b903573","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:33:25.748027Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/2501.04613/citation-record","integrity":"/paper/2501.04613/integrity","json":"/paper/2501.04613/citation-record.json","paper":"/paper/2501.04613"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1901.09590","last_updated":"2019-08-24T15:36:04Z","snapshot_observed_at":"2026-08-18T19:40:59.138923Z","submitted_at":"2019-01-28T10:42:26Z","title":"TuckER: Tensor Factorization for Knowledge Graph Completion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.09590","snapshot_observed_at":"2026-08-10T21:33:25.596555Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.596555Z"},"links":{"cited_paper":"/paper/1901.09590","citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:2c63fc5db3270830a99a2c655ace627783aa2567075b6a5698e35a0a8a151608","observation_id":"9d9b96a1-c4e6-4314-961b-57c70a3defda","resolution":{"observed_at":"2026-08-10T21:33:25.596555Z","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":"2026-08-10T21:33:26.193318Z","title":null,"venue":null,"work_id":"0473ae50-d5ce-4669-bb17-19f9f2185569","year":2021},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.602165Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:f09d2a16b3926d0083e4e5f054f84dadfdfebc9c31b59ae88e6ff2102559de60","observation_id":"0d8503bb-7105-4140-a112-b9c8a2d4bb23","resolution":{"observed_at":"2026-08-10T21:33:26.197461Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.180714Z","title":null,"venue":null,"work_id":"480a2ef9-6b41-480c-a2f5-419184329577","year":2018},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.611522Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:cb9d975645e5f465b51a885fe018ae97532cabb70b0a957461b035fb1c0bf955","observation_id":"71e68e0a-da3d-40f4-8a9d-2cf7e7b166fd","resolution":{"observed_at":"2026-08-10T21:33:26.185653Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.168384Z","title":null,"venue":null,"work_id":"76d8c61a-62ee-4c06-8335-4bbc2db00ac2","year":2021},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.615880Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:d08fe68544d6e4409ef5254a7d208fd70ebaf857f0c8d1633fd8069e08d62fe2","observation_id":"2e36331c-595d-4b8b-80e4-f7f61c0831e5","resolution":{"observed_at":"2026-08-10T21:33:26.172485Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.154907Z","title":null,"venue":null,"work_id":"f2c8fa9e-b9eb-44c2-9dca-492c685d8846","year":2013},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.620914Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:559e6b0f72be8cdc5b36325b42b5698b01eee1aefe74eca873336f99bff63a5f","observation_id":"36cbcf80-8d7c-46fb-a1ad-a08c902b5d62","resolution":{"observed_at":"2026-08-10T21:33:26.159382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.142420Z","title":null,"venue":null,"work_id":"f2aef904-bb3b-400b-b705-db5a53ec78f9","year":2014},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.626035Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:3df538520677dea60260e5b72f323e109681f6bb1551b98490dfb89d54fab15e","observation_id":"64e09d8b-37ae-450f-bbf7-60bb3ed5dbe8","resolution":{"observed_at":"2026-08-10T21:33:26.146395Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.129976Z","title":null,"venue":null,"work_id":"60e9429d-cadf-47b8-8aaa-72fbcc29a13f","year":2015},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.630905Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:f08a8f99448c2ec0547f5bf6236e810212c1be7b75b76a369e2e0b46dceea560","observation_id":"2dbf4591-00a6-4314-8223-971a9a345259","resolution":{"observed_at":"2026-08-10T21:33:26.134274Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.114053Z","title":null,"venue":null,"work_id":"9e961e67-57b1-4922-9a19-43071fb0521f","year":2017},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.635166Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:1951f4648d1ae348629f0b64cb8aea32166c10c43848ad2892a27e43a15fc135","observation_id":"a4de1897-81dd-4d73-8f53-5a530e96f5a0","resolution":{"observed_at":"2026-08-10T21:33:26.119419Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.098980Z","title":null,"venue":null,"work_id":"a9a449e2-eff5-4bf1-aed7-2a388fac9feb","year":2008},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.639570Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:edfcb3e88616aca9e177d1fe950af1818043c01c4a2fa990d55670394e17296f","observation_id":"eb9ebb68-1dba-491b-a27b-82fa55180042","resolution":{"observed_at":"2026-08-10T21:33:26.103049Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.086567Z","title":null,"venue":null,"work_id":"c37a4aa1-4c19-49b3-8fef-4cba7448d2bc","year":2015},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.644059Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:cce8b1cdeb96a6bad4d5b76ed21c0f9c6b9ead6c4a3ad51a8457a89c0375d4f6","observation_id":"d1fefba3-054a-472e-aeae-15dd5af40ce4","resolution":{"observed_at":"2026-08-10T21:33:26.090778Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6575","last_updated":"2015-08-29T15:08:45Z","snapshot_observed_at":"2026-08-14T23:06:41.229837Z","submitted_at":"2014-12-20T01:37:16Z","title":"Embedding Entities and Relations for Learning and Inference in Knowledge Bases","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6575","snapshot_observed_at":"2026-08-10T21:33:25.648378Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.648378Z"},"links":{"cited_paper":"/paper/1412.6575","citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:bbe3d904a31e5de50843b2b3bde3acfbee81cf3a8a02a81a6ceb6058cc19ec2b","observation_id":"0ebd1292-2600-484b-a123-9df5adb0d775","resolution":{"observed_at":"2026-08-10T21:33:25.648378Z","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":"2026-08-10T21:33:26.074268Z","title":null,"venue":null,"work_id":"bf9beec5-42b8-418b-9770-e4e5d6db77dd","year":2016},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.653014Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:5a41e0acaff5e33ec905a89ce786621d1f4828f530f15e927f390042d80810f9","observation_id":"5c5c0151-c8a2-4605-9a59-f5e128d7d12e","resolution":{"observed_at":"2026-08-10T21:33:26.078211Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.062421Z","title":null,"venue":null,"work_id":"46aba44f-4c19-49f2-b59c-4e540cd8fece","year":2021},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.656595Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:d111fea9c99cf1e64406ff5c771ffbee2fd8c2be08b8ef9c59b0cd43587d9fe0","observation_id":"4ff730cd-18fb-4573-8b37-ac91f5ad7624","resolution":{"observed_at":"2026-08-10T21:33:26.066415Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.049050Z","title":null,"venue":null,"work_id":"7cf39e26-a5de-4371-af56-078f96fe6871","year":2015},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.659758Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:6972b36a0347e23fd2638f16dd2e79e6533aa8267fac7f6a869fdf7a5155cb82","observation_id":"071ba5cd-7481-4865-a702-91ab256e4936","resolution":{"observed_at":"2026-08-10T21:33:26.053304Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.663054Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.663054Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:7237dc85c5201002390bc72ae15cee9f2c085c55f67b748eb8390bd093030645","observation_id":"d3b96f0c-d71f-4b6b-9ae0-9a5e536f4360","resolution":{"observed_at":"2026-08-10T21:33:25.663054Z","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":"2026-08-10T21:33:26.028981Z","title":null,"venue":null,"work_id":"3c6e78d0-a238-4506-8d1c-acbf663cb87a","year":2021},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.666453Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:2422bae9b67c99f090ce69be2af7ef54af5934b3b617a9ba73fb7731da541b8d","observation_id":"aba6ddce-5991-48dc-91df-dae5c61fcbd0","resolution":{"observed_at":"2026-08-10T21:33:26.033084Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.015780Z","title":null,"venue":null,"work_id":"0213cd81-cf13-4964-b049-3b6d9e606e0a","year":2015},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.669614Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:d0a46954623a979f3762ae29b0700f6bfaaae210363e7ad37fa80432900c23fe","observation_id":"5f4e415e-0854-44d9-802b-4b5c922b4da8","resolution":{"observed_at":"2026-08-10T21:33:26.020090Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:26.003774Z","title":null,"venue":null,"work_id":"9c245d39-4e20-4722-a612-eb4b77524b6f","year":2017},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.673019Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:a7a4a5ec31d8c1665eadc9c9230985cc7565c6134830328b4f989a8ede023a11","observation_id":"ad2d7345-40d0-41fc-aa70-34118b63d1c0","resolution":{"observed_at":"2026-08-10T21:33:26.007947Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.02121","last_updated":"2018-03-13T07:45:20Z","snapshot_observed_at":"2026-08-14T20:06:21.462280Z","submitted_at":"2017-12-06T10:41:47Z","title":"A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.02121","snapshot_observed_at":"2026-08-10T21:33:25.676640Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.676640Z"},"links":{"cited_paper":"/paper/1712.02121","citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:e824fe83ac093614156f52d5544b90de9d2239b50ddd7ee1b42e190c57cdc602","observation_id":"87571fc1-2b60-4f53-b4e5-15e132e5c993","resolution":{"observed_at":"2026-08-10T21:33:25.676640Z","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":"2026-08-10T21:33:25.991304Z","title":null,"venue":null,"work_id":"b1cb2fb1-7c91-478f-b108-23ab26995011","year":2011},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.681269Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:12987ddc2ea6ec649aac9606e5d1c0ef0d055cdbe500874031442ce7fa099cf0","observation_id":"25c2a687-1c14-4c0f-9197-2eabb8bf84d2","resolution":{"observed_at":"2026-08-10T21:33:25.995937Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.978961Z","title":null,"venue":null,"work_id":"fd35a58f-f571-4397-a973-9a6bd3eb81f1","year":2018},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.685240Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:4bc0f9ac4320904a25c1bf8346ecb7fdbf2a17fe915b22e09c470c26284ac4c1","observation_id":"cfacf4bc-6f52-481a-94bd-9c21233abd62","resolution":{"observed_at":"2026-08-10T21:33:25.983097Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.689354Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.689354Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:ac58fea87b548dc1f0ec6d876ee38f4440755e9be54f84d3822b15e6d8b361d8","observation_id":"22de6107-e266-4cef-bb30-50b4f9402062","resolution":{"observed_at":"2026-08-10T21:33:25.689354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.10197","last_updated":"2019-02-26T20:15:09Z","snapshot_observed_at":"2026-08-18T06:15:13.456287Z","submitted_at":"2019-02-26T20:15:09Z","title":"RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.10197","snapshot_observed_at":"2026-08-10T21:33:25.694020Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.694020Z"},"links":{"cited_paper":"/paper/1902.10197","citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:f11deeec7aeeee66dc75d382c2d7ff1b549973d20faef41ad5867aa5cc080119","observation_id":"3a1f8ed0-829f-4e95-b65e-4e0420b31c15","resolution":{"observed_at":"2026-08-10T21:33:25.694020Z","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":"2026-08-10T21:33:25.959010Z","title":null,"venue":null,"work_id":"4be70563-ee4a-4850-aef8-30a6d3a43470","year":2018},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.698454Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:ee4ca53c4dcdb26cecb6cd1339bb7d34437ce637bd8820d384c58debb8927f1d","observation_id":"5bfd5c27-5fe0-4daf-abd5-7313cf6cbd76","resolution":{"observed_at":"2026-08-10T21:33:25.963035Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.702975Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.702975Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:d284d31dc6375bc499ea27d1ae732884532e0024d8fcf3fd841120ee6d482dc2","observation_id":"3ab48efb-f3e5-41b5-b202-631d0cace273","resolution":{"observed_at":"2026-08-10T21:33:25.702975Z","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":"2026-08-10T21:33:25.940049Z","title":null,"venue":null,"work_id":"d27d1758-e93f-4d3b-a98c-1ee7c83de63d","year":2016},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.707130Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:ac66032778c6622fbff43c5bd48219162c4124b651fe1c4eb83d60bfc3fe4368","observation_id":"d0dbfd1d-bd98-4a9b-8dcc-b09eee21ef27","resolution":{"observed_at":"2026-08-10T21:33:25.944152Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1911.03082","last_updated":"2020-01-18T22:50:01Z","snapshot_observed_at":"2026-08-20T05:04:57.579550Z","submitted_at":"2019-11-08T06:48:40Z","title":"Composition-based Multi-Relational Graph Convolutional Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.03082","snapshot_observed_at":"2026-08-10T21:33:25.711449Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.711449Z"},"links":{"cited_paper":"/paper/1911.03082","citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:1577d3a11b5f4da5cc44b64b2119d07bc26ddac54921686d35234fb4213aae8d","observation_id":"d0eb97d2-247c-4694-b6ba-903fdcf90e28","resolution":{"observed_at":"2026-08-10T21:33:25.711449Z","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":"2026-08-10T21:33:25.716894Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.716894Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:6895a1fedd01cd5066a1a27b47f8871a37bab8990accc534962e1ce2b104c3a9","observation_id":"d95d6b9c-5ebc-41ac-9cf4-d17e1465d23c","resolution":{"observed_at":"2026-08-10T21:33:25.716894Z","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":"2026-08-10T21:33:25.721295Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.721295Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:50c265a5b0850f3562edba6dcd2ad7c8ec647700c9b2ce4bf6b77064728af4bb","observation_id":"ea8fee23-79c0-492f-936a-9efdb75730fd","resolution":{"observed_at":"2026-08-10T21:33:25.721295Z","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":"2026-08-10T21:33:25.912418Z","title":null,"venue":null,"work_id":"29c8eef4-0e15-4239-822a-dd5f1b984c3d","year":2015},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.725185Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:3d3977c3edad667085fb4e8bab5d285458351ae4ad9301938cd808cf6882613a","observation_id":"44c75adc-f325-4954-8584-120902e8bedf","resolution":{"observed_at":"2026-08-10T21:33:25.916827Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.898954Z","title":null,"venue":null,"work_id":"eff19310-60f9-4944-a6a5-2a732c1392f3","year":2014},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.729684Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:bdb45d5c18cfc0202a425c9cc225eb96769aab5e570d73d071905d5589904c5b","observation_id":"79f5f84b-3f4e-4f67-b937-46e3d32dcd95","resolution":{"observed_at":"2026-08-10T21:33:25.902948Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.887189Z","title":null,"venue":null,"work_id":"df5a34cf-692a-44dc-92b0-d34f6dc431f4","year":2016},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.733488Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:d1a9d6225ccd8d5b9263cddadbc6e07e51e14b3fedaac52e374004d21eea13c3","observation_id":"5b9699c9-b21d-469e-a3d8-e57eea375b91","resolution":{"observed_at":"2026-08-10T21:33:25.890781Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.875508Z","title":null,"venue":null,"work_id":"6fcaea3b-c188-4dfe-9880-b3ef074ea4be","year":2020},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.736927Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:fec8cb9d396e81719b95373365d4fbf43155dd924c8203d80dc28d082e6ab02e","observation_id":"1d565df1-8b9d-404b-8055-1416b156c1e4","resolution":{"observed_at":"2026-08-10T21:33:25.879066Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.863206Z","title":null,"venue":null,"work_id":"74d6a093-b085-4c24-8ae0-9084ed0702dd","year":2018},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.740429Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:03b1d926e243c89496d327169f7bb5ea9298ec73f38c0f337c9bf1e7e06a7053","observation_id":"35acb4f7-83ca-46fb-8abe-6b2ace6cf52d","resolution":{"observed_at":"2026-08-10T21:33:25.867091Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-10T21:33:25.846747Z","title":null,"venue":null,"work_id":"2eb1fa70-104d-4da1-bf10-2bcc12ddd950","year":2020},"citing_paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T21:33:25.748027Z"},"links":{"citing_paper":"/paper/2501.04613"},"observation_digest":"sha256:7f33d91f8d50d82dd51549deae91abff9ebfea5c7634a235073bbe24eb404dc3","observation_id":"142928b5-8fb0-414f-ae72-66645ac8a7da","resolution":{"observed_at":"2026-08-10T21:33:25.852610Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.04613","last_updated":"2025-01-08T16:53:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T19:41:41.306163Z","submitted_at":"2025-01-08T16:53:17Z","title":"A Semantic Partitioning Method for Large-Scale Training of Knowledge Graph Embeddings"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":35,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":35},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.04613."}