{"as_of":"2026-08-19T00:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:387beae24718f79a8b402f1d3d7c6ebdf9c0214383bc9e9b80c37605393b8307","coverage":[{"denominator":300,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T06:02:34.783325Z","state":"measured"},{"denominator":102,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":102,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T15:27:29.373751Z","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":"2026-05-11T23:41:19.146637Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"cited_work":{"arxiv_id":"2506.11012","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.11012","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d36d2bc7-8f9a-4d63-bdb5-0eb9fe92c2e2","year":2025},"citing_paper":{"arxiv_id":"2604.25693","last_updated":"2026-07-20T12:20:22Z","snapshot_observed_at":"2026-08-05T21:48:11.083839Z","submitted_at":"2026-04-28T14:21:03Z","title":"RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-05-07T16:25:52.326625Z"},"links":{"cited_paper":"/paper/2506.11012","citing_paper":"/paper/2604.25693"},"observation_digest":"sha256:516769cba5af0496cb8fdec32eed526e60ac1b895ab4c357d5eb6d17f3ee9952","observation_id":"e36be39f-5106-44aa-9525-90b48cc72ad5","resolution":{"observed_at":"2026-05-11T23:41:19.153961Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.11012","snapshot_observed_at":"2026-08-02T15:27:29.373751Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.25693","last_updated":"2026-07-20T12:20:22Z","snapshot_observed_at":"2026-08-05T21:48:11.083839Z","submitted_at":"2026-04-28T14:21:03Z","title":"RADD: Retrieval-Augmented Discrete Diffusion for Multi-Modal Knowledge Graph Completion","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-02T15:27:29.373751Z"},"links":{"cited_paper":"/paper/2506.11012","citing_paper":"/paper/2604.25693"},"observation_digest":"sha256:8616b8e09ce692635c69e235ff86e97993070011c77d775a09b126c6f7ab17e8","observation_id":"d87f43dc-9269-4797-93f2-d28fdbeb7407","resolution":{"observed_at":"2026-08-02T15:27:29.373751Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.11012/citation-record","integrity":"/paper/2506.11012/integrity","json":"/paper/2506.11012/citation-record.json","paper":"/paper/2506.11012"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T06:02:34.458239Z","title":"Knowl- edge graphs,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.458239Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:f49db2abfc17b144aa0df6c17333b5091ad9a471330aa3cba5c6dccb708c6be4","observation_id":"d6784960-cfb6-462b-961a-8db559b52461","resolution":{"observed_at":"2026-08-16T06:02:34.458239Z","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":"2026-08-16T06:02:34.462290Z","title":"A survey on knowledge graphs: representation, acquisition, and applications,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.462290Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:dbd0ef17296cc582e57dd9f631fd683d88d17e75e8bad8e358d3fd5a6999cf4d","observation_id":"faccd35c-2fe0-479e-ac40-8074a43ec435","resolution":{"observed_at":"2026-08-16T06:02:34.462290Z","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":"2026-08-16T06:02:34.465903Z","title":"Free- base: a collaboratively created graph database for structuring human knowledge,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.465903Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:c428c4164e75ceff77389791061661684a86ab2e5e7f4a8d41171873284057b3","observation_id":"03162767-23b1-48a2-86e2-2232fcca962d","resolution":{"observed_at":"2026-08-16T06:02:34.465903Z","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":"2026-08-16T06:02:34.469427Z","title":"Yago: a core of semantic knowledge,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.469427Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:6e5468471f23423ded8dc9bae73606aa859d7d89813d228025d8c18dff3d4c5e","observation_id":"bb37c119-4021-42d0-875c-876ee89b7b35","resolution":{"observed_at":"2026-08-16T06:02:34.469427Z","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":"2026-08-16T06:02:34.472741Z","title":"Wordnet: a lexical database for english,","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.472741Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:0c4bb835f1a8c75fd0fa21362778058fe47d2fbddd197e1fbda81972e52cb369","observation_id":"c3be7e3a-41a4-430a-8e9b-2a5241b9eee7","resolution":{"observed_at":"2026-08-16T06:02:34.472741Z","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":"2026-08-16T06:02:34.476190Z","title":"Toward an architecture for never-ending language learning,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.476190Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:acc6a4531fb7831bb2242faaac4cdad7beee2215f37f13e08896588f159edacf","observation_id":"5e98a790-628d-440c-9d0f-33891e6d0099","resolution":{"observed_at":"2026-08-16T06:02:34.476190Z","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":"2026-08-16T06:02:34.480070Z","title":"Dbpedia: A large-scale, multilingual knowledge base extracted from wikipedia,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.480070Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:a5b3d0ab1c481d19a220af5440d9bced44161a14940170c0eef3b24db187010e","observation_id":"56cd0a00-f20a-4542-8805-c167a556e593","resolution":{"observed_at":"2026-08-16T06:02:34.480070Z","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":"2026-08-16T06:02:34.483293Z","title":"Long-tail relation extraction via knowledge graph embeddings and graph convolution networks,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.483293Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:69eb877a98fbd59d8ce2082f107e03f01c7558145e37372af0344556256a369a","observation_id":"6bdd12dd-b6e3-48be-a3a9-280d88b43034","resolution":{"observed_at":"2026-08-16T06:02:34.483293Z","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":"2026-08-16T06:02:34.486973Z","title":"Semantic parsing via paraphrasing,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.486973Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:ad0deeebc46589be10feb191133ad292bed1b869f5f3f2e404310c23ccc36848","observation_id":"454a8d5f-0837-4285-9564-44970a77a6f4","resolution":{"observed_at":"2026-08-16T06:02:34.486973Z","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":"2026-08-16T06:02:34.490194Z","title":"Commonsense knowledge aware conversation generation with graph attention,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.490194Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:c7632b4e0257aef7823d2c436d15911280d6c8fd7695d2d218bd2b2bdb7dde39","observation_id":"72d80c68-66c2-4d41-ad56-67513143e908","resolution":{"observed_at":"2026-08-16T06:02:34.490194Z","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":"2026-08-16T06:02:34.493568Z","title":"Kagnet: Knowledge aware graph networks for commonsense reasoning,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.493568Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:a464c94ffe057f16cf03e965ada6f6d666cd47a977ef290836ca3b2066216bc5","observation_id":"b031e012-8d78-4a81-96dd-cfde61e9e440","resolution":{"observed_at":"2026-08-16T06:02:34.493568Z","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":"2026-08-16T06:02:34.496784Z","title":"Explainable reasoning over knowledge graphs for recommendation,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.496784Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b88b250fd18c09e04e3c63358f0209b2a991e1cadd67bb7dc1bd226b0b4486a7","observation_id":"dffd672c-fd8b-440e-abc7-a37048a61d09","resolution":{"observed_at":"2026-08-16T06:02:34.496784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.16130","last_updated":"2025-02-19T10:49:41Z","snapshot_observed_at":"2026-08-16T12:38:40.131901Z","submitted_at":"2024-04-24T18:38:11Z","title":"From Local to Global: A Graph RAG Approach to Query-Focused Summarization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.16130","snapshot_observed_at":"2026-08-16T06:02:34.499995Z","title":"From local to global: A graph rag approach to query-focused summarization,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.499995Z"},"links":{"cited_paper":"/paper/2404.16130","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:3087036feaeb4311d68c35a75255993567ed05ace54e86b0d69dd94052a3c256","observation_id":"53255566-c68d-4aa0-a43e-7ca8571b0d27","resolution":{"observed_at":"2026-08-16T06:02:34.499995Z","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":"2026-08-16T06:02:34.503839Z","title":"Knowledge base completion via search based question answering,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.503839Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:6e7d1045f440b67761cffb5f7f394583acbb64169cad67239297cdf1e0437eeb","observation_id":"28fece9a-c83a-4cdb-bbe6-e180370f96f8","resolution":{"observed_at":"2026-08-16T06:02:34.503839Z","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":"2026-08-16T06:02:34.507120Z","title":"Type-constrained representation learning in knowledge graphs,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.507120Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:64667f15a6ff6f44d68f7ac2d2870e685c637abc31057b914dd4b2bbe3d48650","observation_id":"cdfea621-9000-4374-9ba8-a174c49fd137","resolution":{"observed_at":"2026-08-16T06:02:34.507120Z","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":"2026-08-16T06:02:34.510543Z","title":"A survey of embedding models of entities and relationships for knowledge graph completion,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.510543Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b7fbce80ee444a06ab34c76ebde5bbefb1458dd54ff47abc2f86392d866723ef","observation_id":"8096fa7c-11bb-4a21-b2b1-03b850e401d4","resolution":{"observed_at":"2026-08-16T06:02:34.510543Z","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":"2026-08-16T06:02:34.514177Z","title":"Repurpose open data to discover therapeutics for covid-19 using deep learning,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.514177Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:9f3f592e8fdce0e55cc22244b2af19fd8646f695e2f895a85270f57a9dffdfd7","observation_id":"3dfa5f8d-7d6e-42bf-bc7c-86f0907e8961","resolution":{"observed_at":"2026-08-16T06:02:34.514177Z","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":"2026-08-16T06:02:34.517408Z","title":"A three-way model for collective learning on multi-relational data,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.517408Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b3d5ba7f7a09f6682551b9ffae7282cd757a5773007dc5c891b1a5787912b654","observation_id":"0ff164c2-8fca-4458-afb3-85c9616e89a2","resolution":{"observed_at":"2026-08-16T06:02:34.517408Z","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":"2026-08-16T06:02:34.521060Z","title":"Jointly learning explainable rules for recommendation with knowledge graph,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.521060Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:348c9bb505543870ed6fa3c2c64d2fd4fee52614cd308c257ebc9b2db8946465","observation_id":"04fe8ccd-77d3-46f0-b7d9-f1c290d4148c","resolution":{"observed_at":"2026-08-16T06:02:34.521060Z","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":"2026-08-16T06:02:34.524482Z","title":"An interpretable reasoning network for multi-relation question answering,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.524482Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:a71bdce166253dd27c1766b38074781800ae77ff22a58bc4a270c7a9b0ac0771","observation_id":"74d7ceff-b087-4ead-a9be-5e8a47f66c4f","resolution":{"observed_at":"2026-08-16T06:02:34.524482Z","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":"2026-08-16T06:02:34.527814Z","title":"Graph path fusion and reinforcement reasoning for recommendation in moocs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.527814Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:3187739bf8514342a9b611806daac84bc8eca12e29e26359134663350fad8da7","observation_id":"2d1334c4-1ad4-4165-b353-aeafa8c362f4","resolution":{"observed_at":"2026-08-16T06:02:34.527814Z","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":"2026-08-16T06:02:34.531039Z","title":"Knowledge graph embed- ding: A survey of approaches and applications,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.531039Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b0516fb7edd29cca19c432508a34b183dfa04ed7669650137309d834b072d571","observation_id":"b3980af8-8577-43f4-9bb6-df6f282b56c4","resolution":{"observed_at":"2026-08-16T06:02:34.531039Z","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":"2026-08-16T06:02:34.534083Z","title":"Knowledge graph embedding: a survey from the perspective of representation spaces,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.534083Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:735061011432106b351b467c5b33aa2ec63b96a24882bcf680aee9694d812ab8","observation_id":"207e4c92-a515-4fc4-8ebb-014b2e455a10","resolution":{"observed_at":"2026-08-16T06:02:34.534083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.19195","last_updated":"2024-10-21T02:30:50Z","snapshot_observed_at":"2026-08-16T14:14:08.178222Z","submitted_at":"2024-02-29T14:26:20Z","title":"Negative Sampling in Knowledge Graph Representation Learning: A Review","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.19195","snapshot_observed_at":"2026-08-16T06:02:34.537423Z","title":"Negative sampling in knowledge graph representation learning: a review,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.537423Z"},"links":{"cited_paper":"/paper/2402.19195","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:7aef24fdb3309bd2faeac52b3f574aebbd65651d07b4315bf050000dcef4fe2b","observation_id":"1001691f-59bc-4c0d-8043-fd1ab3cd944c","resolution":{"observed_at":"2026-08-16T06:02:34.537423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07412","last_updated":"2022-02-15T13:59:54Z","snapshot_observed_at":"2026-08-16T17:21:09.275427Z","submitted_at":"2022-02-15T13:59:54Z","title":"Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07412","snapshot_observed_at":"2026-08-16T06:02:34.541274Z","title":"Knowledge graph reasoning with logics and embeddings: survey and perspective,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.541274Z"},"links":{"cited_paper":"/paper/2202.07412","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:cef78da611aad4d92077101888f4eff731280db17987f921a1fef78a4d090fc0","observation_id":"eda3a22a-16fc-462c-badc-f7acb3a3a01d","resolution":{"observed_at":"2026-08-16T06:02:34.541274Z","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":"2026-08-16T06:02:34.544218Z","title":"Overview of knowledge reasoning for knowledge graph,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.544218Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:74959e08d55fc127112025d90bed26ce6ed6e9f16cdef6a395271e564534e2c5","observation_id":"4a2070d7-dc00-4bd0-94db-757e08fc783e","resolution":{"observed_at":"2026-08-16T06:02:34.544218Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04782","last_updated":"2024-03-02T16:21:45Z","snapshot_observed_at":"2026-08-16T14:13:28.434110Z","submitted_at":"2024-03-02T16:21:45Z","title":"A Survey on Temporal Knowledge Graph: Representation Learning and Applications","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.04782","snapshot_observed_at":"2026-08-16T06:02:34.546855Z","title":"A survey on temporal knowledge graph: representation learning and applications,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.546855Z"},"links":{"cited_paper":"/paper/2403.04782","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:aef56d6400c4b954460305540580c64d0ea1fbf2ae33a0bfdf81d096f03bdf2a","observation_id":"8111bc85-f343-4601-b341-0e92ce4ec3a5","resolution":{"observed_at":"2026-08-16T06:02:34.546855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02457","last_updated":"2023-08-04T16:49:54Z","snapshot_observed_at":"2026-08-18T10:58:21.253611Z","submitted_at":"2023-08-04T16:49:54Z","title":"A Survey on Temporal Knowledge Graph Completion: Taxonomy, Progress, and Prospects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.02457","snapshot_observed_at":"2026-08-16T06:02:34.549738Z","title":"A survey on temporal knowledge graph completion: taxonomy, progress, and prospects,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.549738Z"},"links":{"cited_paper":"/paper/2308.02457","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:2b61d43e50c145197a214d0a8292f81560ab936f29d3325b77fb51d8ea1467ae","observation_id":"6bb1c7e5-6614-4dc3-9297-77acf65d708c","resolution":{"observed_at":"2026-08-16T06:02:34.549738Z","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":"2026-08-16T06:02:34.552556Z","title":"Generalizing to unseen elements: a survey on knowledge extrapolation for knowledge graphs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.552556Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b31962de0c985813c79882eeee2ba8b5c38eb18bf46aeebadd8f4a6ad7bb287a","observation_id":"14e975e9-577b-4801-bb2c-0b2e89a97251","resolution":{"observed_at":"2026-08-16T06:02:34.552556Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2301.01172","last_updated":"2023-01-03T16:00:09Z","snapshot_observed_at":"2026-08-16T16:04:39.528279Z","submitted_at":"2023-01-03T16:00:09Z","title":"A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge","version":1},"cited_work":{"arxiv_id":"2301.01172","doi":null,"metadata_source":"pith","pith_arxiv_id":"2301.01172","snapshot_observed_at":"2026-08-16T06:02:35.713836Z","title":"A Survey On Few-shot Knowledge Graph Completion with Structural and Commonsense Knowledge","venue":"cs.CL","work_id":"18132f87-a0f7-4c4c-95d9-e1a106ad99dc","year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.555100Z"},"links":{"cited_paper":"/paper/2301.01172","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:5cf72bb9f1afd5a8f7fed835c2f070f873d1078ea5e3d17a2b608ab810cde058","observation_id":"c88fd123-b4c3-4ffa-9b4c-fb083c8bed47","resolution":{"observed_at":"2026-08-16T06:02:35.717805Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04997","last_updated":"2023-12-08T12:13:40Z","snapshot_observed_at":"2026-08-16T14:36:33.091014Z","submitted_at":"2023-12-08T12:13:40Z","title":"Beyond Transduction: A Survey on Inductive, Few Shot, and Zero Shot Link Prediction in Knowledge Graphs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.04997","snapshot_observed_at":"2026-08-16T06:02:34.558700Z","title":"Beyond transduction: a survey on inductive, few shot, and zero shot link prediction in knowledge graphs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.558700Z"},"links":{"cited_paper":"/paper/2312.04997","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:83f8e489e46cee8eb325b2f30e90f3e705ea326f2f9a86e5bfce7e4cc65773bc","observation_id":"3243d7bb-c00d-465e-b612-feb8b35a94ff","resolution":{"observed_at":"2026-08-16T06:02:34.558700Z","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":"2026-08-16T06:02:34.561921Z","title":"A comprehensive overview of knowledge graph completion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.561921Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:c3e3c727f90605bf229200e27d909281294f7a97a9540872c017642db8125cfe","observation_id":"a3d7e8f5-d962-4b14-b1f0-323b7e22b977","resolution":{"observed_at":"2026-08-16T06:02:34.561921Z","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":"2026-08-16T06:02:34.565330Z","title":"A survey of knowledge graph reasoning on graph types: Static, dynamic, and multi-modal,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.565330Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:1a108f9a97dc4ad481b7466b3263b4488270944a48f3aec96e54f1be243099df","observation_id":"29fc65f1-f871-4e14-9912-3cd9b9312b82","resolution":{"observed_at":"2026-08-16T06:02:34.565330Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.05391","last_updated":"2024-02-26T09:57:12Z","snapshot_observed_at":"2026-08-18T04:56:42.659215Z","submitted_at":"2024-02-08T04:04:36Z","title":"Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.05391","snapshot_observed_at":"2026-08-16T06:02:34.568639Z","title":"Knowledge graphs meet multi-modal learning: A comprehensive survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.568639Z"},"links":{"cited_paper":"/paper/2402.05391","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:3904203b85f7ac2ca836dbd0c7ff9fdddfd3f8f51d2d895879b1a4c1fe8c9c6a","observation_id":"8c72f4f2-2aea-4082-97f2-8d7868025961","resolution":{"observed_at":"2026-08-16T06:02:34.568639Z","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":"2026-08-16T06:02:34.571840Z","title":"Temporal knowledge graph completion: a survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.571840Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:144be99ed490d262272d21e0dcf2184d550fdbe9706a821b3a5703a6313b5f72","observation_id":"2e4396cd-29d5-48a2-b764-0c27f3e7a3db","resolution":{"observed_at":"2026-08-16T06:02:34.571840Z","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":"2026-08-16T06:02:34.574923Z","title":"A survey of multi- modal knowledge graphs: technologies and trends,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.574923Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:0dda834353ed4f2b5f5e77c50c77dec2c9fe7824a8ea4a2ea156ec1e248a2776","observation_id":"e760857e-ace5-4065-9bd1-2679c9fdc935","resolution":{"observed_at":"2026-08-16T06:02:34.574923Z","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":"2026-08-16T06:02:34.578107Z","title":"Multi-modal knowledge graph construction and application: a survey,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.578107Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:82f00232cfbd7d90b84cebfb5dbc2a459c9631ae6cb0e2ec776a8a5f963e3f40","observation_id":"44f97472-ff3e-4a22-9c93-f634c8ff5ff5","resolution":{"observed_at":"2026-08-16T06:02:34.578107Z","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":"2026-08-16T06:02:34.581343Z","title":"Deeppath: a reinforcement learning method for knowledge graph reasoning,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.581343Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:442e6d9fbdfe1719eaa77741f3d4bb58959d42a194d351cc80565d05bcf708fd","observation_id":"356a251d-12ec-4e2f-95e9-46dad51ee683","resolution":{"observed_at":"2026-08-16T06:02:34.581343Z","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":"2026-08-16T06:02:34.584616Z","title":"Zero-shot and few-shot learning with knowledge graphs: A comprehensive survey,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.584616Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:1eabb6001b8b3020abe266d05a83a8a02298e320623e5df41eca8864ccc13ccb","observation_id":"5c5f0a01-074f-4ca4-a3c8-4f94cfefe6b0","resolution":{"observed_at":"2026-08-16T06:02:34.584616Z","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":"2026-08-16T06:02:34.587895Z","title":"A re- evaluation of knowledge graph completion methods,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.587895Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:096720c44a518d5f529ff5e8a0f212c58be03a3333cce654f52b4938314e2919","observation_id":"048d86ec-91c8-4771-b686-79a079efbae1","resolution":{"observed_at":"2026-08-16T06:02:34.587895Z","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":"2026-08-16T06:02:34.590977Z","title":"Realistic re- evaluation of knowledge graph completion methods: An experimental study,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.590977Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:1701cf23a399f6896316bd5239a69d26320f6477378e71ddbf8eea070a41dc96","observation_id":"10983aa2-37e1-48cb-ba5d-35824ace62a8","resolution":{"observed_at":"2026-08-16T06:02:34.590977Z","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":"2026-08-16T06:02:34.594123Z","title":"Reasoning with neural tensor networks for knowledge base completion,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.594123Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:d767dc3769bcb3771da2a76cdf27dc9322d4d02a79364b5b5abd004924250cf0","observation_id":"9b186b6c-8983-467a-9e25-535144e3a65e","resolution":{"observed_at":"2026-08-16T06:02:34.594123Z","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":"2026-08-16T06:02:34.597279Z","title":"Modeling relational data with graph convolutional networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.597279Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:da29ace725268a20935dc3b75c8b6989a279b58085ef8ba11c707ebfcaac12ad","observation_id":"b7ff17ee-e230-4d0e-8992-6b9d1cc01f2d","resolution":{"observed_at":"2026-08-16T06:02:34.597279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.03193","last_updated":"2019-09-11T06:03:30Z","snapshot_observed_at":"2026-08-13T08:11:28.014412Z","submitted_at":"2019-09-07T06:09:25Z","title":"KG-BERT: BERT for Knowledge Graph Completion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.03193","snapshot_observed_at":"2026-08-16T06:02:34.600552Z","title":"Kg-bert: Bert for knowledge graph completion,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.600552Z"},"links":{"cited_paper":"/paper/1909.03193","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:2b9ca3e7772435fae974b7efc95aeda3af6af55842b5bc57801500fc0fc1ae93","observation_id":"95520a33-676e-44f8-942c-d108d8de1391","resolution":{"observed_at":"2026-08-16T06:02:34.600552Z","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":"2026-08-16T06:02:34.604191Z","title":"Translating embeddings for modeling multi-relational data,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.604191Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:92f5cce682a972735f8ea8fbea7b47834c75373f6af7218a810bcf128ceb2587","observation_id":"2f40e135-a1bc-4030-bad9-cf1c43425315","resolution":{"observed_at":"2026-08-16T06:02:34.604191Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1301.3781","last_updated":"2013-09-07T00:30:40Z","snapshot_observed_at":"2026-07-06T03:04:11.148340Z","submitted_at":"2013-01-16T18:24:43Z","title":"Efficient Estimation of Word Representations in Vector Space","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1301.3781","snapshot_observed_at":"2026-08-16T06:02:34.607438Z","title":"Efficient estimation of word representations in vector space,","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.607438Z"},"links":{"cited_paper":"/paper/1301.3781","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:f2d38f6e6683ab886df989c39005c181bbaa5f28fee99693f0a304cceaabec22","observation_id":"152ba91c-1215-4182-9b80-42cccf9e8973","resolution":{"observed_at":"2026-08-16T06:02:34.607438Z","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":"2026-08-16T06:02:34.610830Z","title":"Knowledge graph embedding by translating on hyperplanes,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.610830Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:a0c11cde682e01cb8e47a58ea6121a6f19d9fe6dc3a6b78ab3538c2dd7de355e","observation_id":"68e2e955-287c-4130-8b79-5aaaf7813b26","resolution":{"observed_at":"2026-08-16T06:02:34.610830Z","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":"2026-08-16T06:02:34.614377Z","title":"Rotate3d: Repre- senting relations as rotations in three-dimensional space for knowledge graph embedding,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.614377Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:63f4efc35435b0ebcc7bec1fb63c41fe26c493d60d39b68186fbecf35d744e7d","observation_id":"7bc515aa-243d-4a60-abd7-dadf05f425f2","resolution":{"observed_at":"2026-08-16T06:02:34.614377Z","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":"2026-08-16T06:02:34.618015Z","title":"Learning entity and relation embeddings for knowledge graph completion,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.618015Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b8abe5b4e022b601fed9fd90e8b2468011cab0eea4a15a91e428083399d881f9","observation_id":"11677d4c-fd7f-40a1-baa4-0e761b7de80c","resolution":{"observed_at":"2026-08-16T06:02:34.618015Z","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":"2026-08-16T06:02:34.621181Z","title":"Knowledge graph embedding via dynamic mapping matrix,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.621181Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:527b2807d93e7ea042adf7bdee97ec49959a513a2c45d31794b3e1b14ffe6bb8","observation_id":"9b2bfeac-a941-46ca-b4d7-c35141d9956d","resolution":{"observed_at":"2026-08-16T06:02:34.621181Z","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":"2026-08-16T06:02:34.624688Z","title":"Knowledge graph completion with adaptive sparse transfer matrix,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.624688Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:c3a964dc2f6e23fce5b75c89e3ac3f88dc7f76bcc7905522bcb43b795dbf75f1","observation_id":"804e8830-1dea-4354-9fd4-ce6748b04b01","resolution":{"observed_at":"2026-08-16T06:02:34.624688Z","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":"2026-08-16T06:02:34.628815Z","title":"Pairre: Knowledge graph embeddings via paired relation vectors,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.628815Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:a7b73fd4efb6069ca61d0fb5674b26067f981b217e3c79dd8f7bc9da2d50bff9","observation_id":"493f8eee-1a6a-4d87-a9ae-55c97aa3f3fe","resolution":{"observed_at":"2026-08-16T06:02:34.628815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1509.05490","last_updated":"2015-09-28T02:21:20Z","snapshot_observed_at":"2026-08-14T22:31:52.795487Z","submitted_at":"2015-09-18T02:40:07Z","title":"TransA: An Adaptive Approach for Knowledge Graph Embedding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1509.05490","snapshot_observed_at":"2026-08-16T06:02:34.633018Z","title":"Transa: An adaptive approach for knowledge graph embedding,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.633018Z"},"links":{"cited_paper":"/paper/1509.05490","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b2292d51e01ce4d3b59e98ae3d0c270577c21a4b4632580d8c4f8e35eb4d744c","observation_id":"726abdf5-8a65-4408-89e3-903d9bd3089c","resolution":{"observed_at":"2026-08-16T06:02:34.633018Z","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":"2026-08-16T06:02:34.636614Z","title":"Learning to represent knowledge graphs with gaussian embedding,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.636614Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:c56d030e5d73cb4c7bcdf8a5dbf9a410ab8f83ae256498ee0578c5fec49e82da","observation_id":"4e113bdf-42e4-4780-8225-892b256830ca","resolution":{"observed_at":"2026-08-16T06:02:34.636614Z","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":"2026-08-16T06:02:34.639357Z","title":"From one point to a manifold: Knowledge graph embedding for precise link prediction,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.639357Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:04066563d2ee8a5116144f23644414bc9cc732d9a40e943f62ecc3193162e21d","observation_id":"60655ad4-f2f8-4be4-80e5-6bf45ba33b8c","resolution":{"observed_at":"2026-08-16T06:02:34.639357Z","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":"2026-08-16T06:02:34.642127Z","title":"Toruse: Knowledge graph embedding on a lie group,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.642127Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:99b2c8ac1793bd4dea9051f7e0eb38b7e251f5c9ceadb35675130f96366a0e67","observation_id":"587d45c2-e428-436c-9b90-34fc747657aa","resolution":{"observed_at":"2026-08-16T06:02:34.642127Z","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":"2026-08-16T06:02:34.645478Z","title":"Poincare embeddings for learning hierarchical representations,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.645478Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:5217ae1d720267cc048b99ea73deeee58b05cfeafaa807ec6defc7c7747fe09b","observation_id":"653c2c54-2e42-4f25-aa93-5dc460f7d090","resolution":{"observed_at":"2026-08-16T06:02:34.645478Z","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":"2026-08-16T06:02:34.647962Z","title":"Multi-relational poincare graph embeddings,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.647962Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:dc87373b58d25373b8ee8d71d9a13b5548f7371f68a411c8494e2ed290e28785","observation_id":"a898aae4-a3fc-4372-9b81-757e4c6b8622","resolution":{"observed_at":"2026-08-16T06:02:34.647962Z","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":"2026-08-16T06:02:34.650637Z","title":"Learning hierarchy-aware knowledge graph embeddings for link prediction,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.650637Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:ee41df0b470c4ded30bee7013e9ca419a512b6e8b31e918523c1ffddc35610d0","observation_id":"3e8a737a-0c8e-4a3d-8963-8d1e173d2f66","resolution":{"observed_at":"2026-08-16T06:02:34.650637Z","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":"2026-08-16T06:02:34.654090Z","title":"Knowledge graph representation via hierarchical hy- perbolic neural graph embedding,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.654090Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:14f6a0fee6a4f615a93280d24c78131bba7cbd123df12d3bef36d6cee3988cad","observation_id":"3fc5ff99-a5cd-4b31-ad35-7495c3193b53","resolution":{"observed_at":"2026-08-16T06:02:34.654090Z","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":"2026-08-16T06:02:34.657296Z","title":"Hyperbolic hierarchy-aware knowledge graph embedding for link prediction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.657296Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:3b1b734b8b46ef8ca9c9dd1ffb24ceaf6da0d56e5f7f18cc456e0beb2727875b","observation_id":"f8653a7c-8acf-43c3-94d2-909af129af92","resolution":{"observed_at":"2026-08-16T06:02:34.657296Z","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":"2026-08-16T06:02:34.660401Z","title":"Rotate: Knowledge graph embedding by relational rotation in complex space,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.660401Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b30549909dbc745d8bc403b14f1fbb233d651b22b0a801c12d3bf688ca342970","observation_id":"503e68e8-3b24-45a6-a778-1aa2603b4fb0","resolution":{"observed_at":"2026-08-16T06:02:34.660401Z","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":"2026-08-16T06:02:34.663386Z","title":"Quaternion knowledge graph embedding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.663386Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:815f049b3eabc8ef7b2dda0ae509fbe7d428fed05706ae00cf994d9e21caaf9c","observation_id":"d31c34c5-1e01-47fa-bd45-2aa5c68ac1c0","resolution":{"observed_at":"2026-08-16T06:02:34.663386Z","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":"2026-08-16T06:02:34.666605Z","title":"Dual quaternion knowledge graph embeddings,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.666605Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:23dcd8eff996a295dc9623381fe96a7d7e39a47781c1c86c372acb7acc98d3eb","observation_id":"8d980868-b2e6-4d21-805d-c6802359466f","resolution":{"observed_at":"2026-08-16T06:02:34.666605Z","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":"2026-08-16T06:02:34.670090Z","title":"Embedding entities and relations for learning and inference in knowledge bases,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.670090Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:79aefe0021b54967e7572c17ec031f26ecd900a3910dc2f5288917dbaee94edb","observation_id":"c317048e-bc48-413d-8d7b-2ccb87e69114","resolution":{"observed_at":"2026-08-16T06:02:34.670090Z","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":"2026-08-16T06:02:34.673392Z","title":"Complex embeddings for simple link prediction,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.673392Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:6ade9febef189cc79106f6a19e79763a8e22f49c9d195e4fc1421c4f872772f7","observation_id":"c2406150-5ac4-4654-b303-6f6daa9f1406","resolution":{"observed_at":"2026-08-16T06:02:34.673392Z","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":"2026-08-16T06:02:34.676800Z","title":"Holographic embeddings of knowledge graphs,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.676800Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:5fba6a9a7e175bb2a2baa69c8e6293549f2afe798811909e9f23e6a084854117","observation_id":"5c0e5fb0-66c2-4612-96c1-772f1f7cb782","resolution":{"observed_at":"2026-08-16T06:02:34.676800Z","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":"2026-08-16T06:02:34.680126Z","title":"A semantic matching energy function for learning with multi-relational data,","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.680126Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:d59bff66e4f2d4d2cd85e83f271827a5af7bd511d4829bbe81c7213d7b6c34ca","observation_id":"d1b5eace-67c1-4854-96a2-fe344bc4e9d3","resolution":{"observed_at":"2026-08-16T06:02:34.680126Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1603.07704","last_updated":"2016-08-03T14:31:17Z","snapshot_observed_at":"2026-08-14T22:04:34.251636Z","submitted_at":"2016-03-24T18:54:18Z","title":"Probabilistic Reasoning via Deep Learning: Neural Association Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1603.07704","snapshot_observed_at":"2026-08-16T06:02:34.683557Z","title":"Probabilistic reasoning via deep learning: Neural association models,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.683557Z"},"links":{"cited_paper":"/paper/1603.07704","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:25267a8f4e78ce988557f0ae56bf71e5bb59e8d036ef9e9317fc7e72385aeaa9","observation_id":"90e8c65f-292b-4eb7-9823-af61b27666de","resolution":{"observed_at":"2026-08-16T06:02:34.683557Z","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":"2026-08-16T06:02:34.687195Z","title":"Convolutional 2d knowledge graph embeddings,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.687195Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:c1b07bfbbedb321cb3aa0edfba3c12bdf2a24c9c122a40449ab1666c135dba25","observation_id":"66ea628a-9d11-4e89-a692-77f45073557e","resolution":{"observed_at":"2026-08-16T06:02:34.687195Z","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":"2026-08-16T06:02:34.690268Z","title":"A novel embedding model for knowledge base completion based on convolutional neural network,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.690268Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:84fdf34052a014dad092d5e8028a5904b856138bff9a72dc5acb31ccb8e99cbf","observation_id":"acb80dbd-1bc9-4070-9d23-5c67a931dc90","resolution":{"observed_at":"2026-08-16T06:02:34.690268Z","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":"2026-08-16T06:02:34.693541Z","title":"End- to-end structure-aware convolutional networks for knowledge base completion,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.693541Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:e48b03c0254145287e85dc73cd43ba5074c858939d6eab513ba34717fb958726","observation_id":"10088d00-4e20-42e8-97bf-1a649e6de280","resolution":{"observed_at":"2026-08-16T06:02:34.693541Z","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":"2026-08-16T06:02:34.696912Z","title":"Learning attention- based embeddings for relation prediction in knowledge graphs,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.696912Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:afeeba5c27f66beff64aaaeb04a566026cd19a24bd7bae77ec7e3ebd335c78f6","observation_id":"fe77c8b8-d5fb-43ee-a954-ac0a2b13fdd9","resolution":{"observed_at":"2026-08-16T06:02:34.696912Z","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":"2026-08-16T06:02:34.700256Z","title":"Knowledge embedding based graph convolutional network,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.700256Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:fc1ce3e87a285b54e9c7d4fd0a4cfd90ab9fb1efe4dcc156f013805aa3b628a8","observation_id":"2fe584f5-dc89-4122-9f78-5140e4b4d8c5","resolution":{"observed_at":"2026-08-16T06:02:34.700256Z","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":"2026-08-16T06:02:34.703582Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.703582Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:cd87ea63a830fcfafae90d8525d6deb8786cc49a3816d7a19ceedc938f8770d5","observation_id":"18d9692f-13d4-4d21-a7c8-edf7dde1d24b","resolution":{"observed_at":"2026-08-16T06:02:34.703582Z","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":"2026-08-16T06:02:34.706703Z","title":"A relational memory-based em- bedding model for triple classification and search personalization,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.706703Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:ef50d78e857db1687852326b412df4ba7c07dc3b8057ed96b51a7505a9e50a28","observation_id":"7d239ec6-d871-409e-9ed2-638c5715f980","resolution":{"observed_at":"2026-08-16T06:02:34.706703Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.02168","last_updated":"2020-04-04T07:22:20Z","snapshot_observed_at":"2026-07-06T08:35:01.386074Z","submitted_at":"2019-11-06T02:27:39Z","title":"CoKE: Contextualized Knowledge Graph Embedding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.02168","snapshot_observed_at":"2026-08-16T06:02:34.709982Z","title":"Coke: Contextualized knowledge graph embedding,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.709982Z"},"links":{"cited_paper":"/paper/1911.02168","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:ae90699de58bdeb4e3d936ee659521aeb0e31eca50523cc7b6a6c3ecb0dab09a","observation_id":"834b21bf-a090-47f0-b620-07c9d29a551a","resolution":{"observed_at":"2026-08-16T06:02:34.709982Z","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":"2026-08-16T06:02:34.713501Z","title":"Hitter: Hierarchical transformers for knowledge graph embeddings,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.713501Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:8869298dedfd2c9f86bc6e0f1c84012580cf7bdcc57a58757ca078564d043e59","observation_id":"08f84044-1dcd-4cce-bb5b-74fd6bf653d1","resolution":{"observed_at":"2026-08-16T06:02:34.713501Z","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":"2026-08-16T06:02:34.716603Z","title":"From discrimination to generation: Knowledge graph com- pletion with generative transformer,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.716603Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:25867c957918f4bd9e2b7e83a10de83231629ff139bb02e777748a9bb061783c","observation_id":"307fa283-4314-4f81-ab32-8e8a961ac7e6","resolution":{"observed_at":"2026-08-16T06:02:34.716603Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.15682","last_updated":"2023-03-28T02:10:37Z","snapshot_observed_at":"2026-08-18T23:18:04.807895Z","submitted_at":"2023-03-28T02:10:37Z","title":"Pre-training Transformers for Knowledge Graph Completion","version":1},"cited_work":{"arxiv_id":"2303.15682","doi":null,"metadata_source":"pith","pith_arxiv_id":"2303.15682","snapshot_observed_at":"2026-08-16T06:02:35.622483Z","title":"Pre-training Transformers for Knowledge Graph Completion","venue":"cs.CL","work_id":"2d8e0857-66ba-4fc9-bee0-1b9aa81d0222","year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.719203Z"},"links":{"cited_paper":"/paper/2303.15682","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:9ac7850778dde41f94aa3c7d0e29fed05b1b221be182372c741ed1741d2f6dbc","observation_id":"591ce070-b684-409c-83f8-7c3c2c29c812","resolution":{"observed_at":"2026-08-16T06:02:35.626685Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-16T06:02:34.722147Z","title":"Simkgc: Simple contrastive knowledge graph completion with pre-trained language models,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.722147Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:efc835b9be6112591a1278aabd359cdbd8535e0e054bf53d28df16b00ed2f230","observation_id":"a658114f-e75e-438a-b38a-67b81bdf8280","resolution":{"observed_at":"2026-08-16T06:02:34.722147Z","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":"2026-08-16T06:02:34.724740Z","title":"Structure-augmented text representation learning for efficient knowl- edge graph completion,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.724740Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:e2f87f08b09670373a07f357d611d941954991f601f106f9af7daf6f0a74230c","observation_id":"2e61a950-6686-4fe4-af69-f77aacb11a95","resolution":{"observed_at":"2026-08-16T06:02:34.724740Z","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":"2026-08-16T06:02:34.727293Z","title":"Relphormer: Relational graph transformer for knowledge graph rep- resentations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.727293Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:ac70ab0cdf844c20122ef40d8fedca9e9651b914ba4e7992a600e9cd8bc809e9","observation_id":"152463d5-8b35-4f43-9fe7-86aa5ff4c195","resolution":{"observed_at":"2026-08-16T06:02:34.727293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06671","last_updated":"2024-04-14T05:30:19Z","snapshot_observed_at":"2026-08-16T14:53:25.150121Z","submitted_at":"2023-10-10T14:47:09Z","title":"Making Large Language Models Perform Better in Knowledge Graph Completion","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06671","snapshot_observed_at":"2026-08-16T06:02:34.729883Z","title":"Making large language models perform better in knowledge graph completion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.729883Z"},"links":{"cited_paper":"/paper/2310.06671","citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:b315b123a2576ab0d06513725d8d18b0ce6421174512d834166cb05252c4f8b4","observation_id":"2dc6a464-89a8-42b6-8065-4861b9b93007","resolution":{"observed_at":"2026-08-16T06:02:34.729883Z","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":"2026-08-16T06:02:34.732795Z","title":"Kicgpt: Large language model with knowledge in context for knowledge graph completion,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.732795Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:406db9aa4438b49ffedddd334de956ff9a33341c3692b6f61d013df131d7926a","observation_id":"42457523-abce-417d-82a9-977ad3b88edf","resolution":{"observed_at":"2026-08-16T06:02:34.732795Z","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":"2026-08-16T06:02:34.735987Z","title":"Factorizing yago: Scalable machine learning for linked data,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.735987Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:15ae5f47933e45e2baf3cf54f5208bbb112621d2c8e2ed2f4e1fb5718c87cfc2","observation_id":"d3b64dbe-0dea-4a4c-a019-ef4b6723c5b2","resolution":{"observed_at":"2026-08-16T06:02:34.735987Z","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":"2026-08-16T06:02:34.739261Z","title":"Universal representa- tion learning of knowledge bases by jointly embedding instances and ontological concepts,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.739261Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:42c5ad16cd2eccc07855f7ccfe74b8548b691acda25735fc6ab95b885701b656","observation_id":"0851dc2c-2017-460f-a881-d702aa944e96","resolution":{"observed_at":"2026-08-16T06:02:34.739261Z","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":"2026-08-16T06:02:34.742519Z","title":"Embedding two-view knowledge graphs with class inheritance and structural similarity,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.742519Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:31ed8fc60236dbf158f275c97d00891ae2c522ed73d9ea9e497ec3327847571c","observation_id":"bf10c69f-36f0-444f-8871-dc9be4118d6d","resolution":{"observed_at":"2026-08-16T06:02:34.742519Z","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":"2026-08-16T06:02:34.745785Z","title":"An ontology-enhanced knowledge graph embedding method,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.745785Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:e604a9510161edd393f0ce1f6bfbab3930ea1a558933193238d7e47d3d1dc47f","observation_id":"7cd1eeda-5f4f-49d7-a6ad-e0ce9ef4bc1e","resolution":{"observed_at":"2026-08-16T06:02:34.745785Z","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":"2026-08-16T06:02:34.749232Z","title":"Concept2box: joint geometric embeddings for learning two-view knowledge graphs,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.749232Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:8e0b83ab2a6b78492def1feef57dd15e0783f91f5db0fbfff7eb94d7a9bacaa5","observation_id":"ef9e684a-f757-42af-9c48-ee57085e7769","resolution":{"observed_at":"2026-08-16T06:02:34.749232Z","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":"2026-08-16T06:02:34.752508Z","title":"Cake: A scalable commonsense-aware framework for multi-view knowledge graph com- pletion,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.752508Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:a93cc47ee574152de923e504cf53187c3d38cf7bfefb8ccc29d3898a20da35c3","observation_id":"b8d02299-dc7b-4b8b-a892-ee5dafcf10f8","resolution":{"observed_at":"2026-08-16T06:02:34.752508Z","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":"2026-08-16T06:02:34.755649Z","title":"Semantically smooth knowledge graph embedding,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":92,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.755649Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:3d944f51218c3a78307a2dcbd685859fb45a2fbe668ee0e32c613cb7be0e9e8f","observation_id":"b48d0cfa-e259-46cd-a8ba-c870fba44350","resolution":{"observed_at":"2026-08-16T06:02:34.755649Z","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":"2026-08-16T06:02:34.759192Z","title":"Representation learning of knowledge graphs with hierarchical types,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.759192Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:85a46980ec2c4df395b3b7eae0745863be303d7c084d634c7018dc2e062ece24","observation_id":"62c98b54-ab65-4f7e-a3e5-68c79b3947f3","resolution":{"observed_at":"2026-08-16T06:02:34.759192Z","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":"2026-08-16T06:02:34.763143Z","title":"Transet: Knowledge graph embedding with entity types,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.763143Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:eaf2bb920ee128d6d15eb3c9e491445ef1bcd1afbe6532258250f7d5f058788c","observation_id":"f3f38dd4-bf28-4578-8ccc-711ac9b120aa","resolution":{"observed_at":"2026-08-16T06:02:34.763143Z","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":"2026-08-16T06:02:34.766424Z","title":"Autoeter: Automated entity type representation for knowledge graph embedding,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.766424Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:c952fcad0dc88d3ede7bb09a990d903db7ef94de1542e00cf0dc9c65b3032076","observation_id":"ecdee332-4f1c-42e1-a723-bc6ade49fc80","resolution":{"observed_at":"2026-08-16T06:02:34.766424Z","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":"2026-08-16T06:02:34.770000Z","title":"Compositional vector space models for knowledge base completion,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":96,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.770000Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:70277c604fd834def6125cd8efbad3b7ba4cd6509248edbbec86fd160916da87","observation_id":"01685b00-c8b2-4594-809d-848bcd351f5d","resolution":{"observed_at":"2026-08-16T06:02:34.770000Z","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":"2026-08-16T06:02:34.773490Z","title":"Modeling relation paths for representation learning of knowledge bases,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":97,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.773490Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:802c535329e3be1b200b4a5ae67c395dc143403454d5947e598a33c5f3cb1b79","observation_id":"ee9fc9bd-9052-45d7-9942-7092d737b1f6","resolution":{"observed_at":"2026-08-16T06:02:34.773490Z","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":"2026-08-16T06:02:34.776833Z","title":"A path-based relation networks model for knowledge graph completion,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":98,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.776833Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:fbfa4356e77ad12d8754ce950974adc54ddbeb766ab87ff8ac0b3152b775dd8b","observation_id":"8fa3630c-4a5b-4c6b-be74-822de073b4fd","resolution":{"observed_at":"2026-08-16T06:02:34.776833Z","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":"2026-08-16T06:02:34.780155Z","title":"Representation learning with ordered relation paths for knowledge graph completion,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":99,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.780155Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:32444f55c63f193a086dbc200c18a9ebf7e906ef5701f948731b5f0bc8ed0c78","observation_id":"e65a84ef-25cd-424e-8f85-4d265527c3aa","resolution":{"observed_at":"2026-08-16T06:02:34.780155Z","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":"2026-08-16T06:02:34.783325Z","title":"Modeling relation paths for knowledge base completion via joint adversarial training,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects","version":1},"reference_index":100,"source":"pdf_text","source_observed_at":"2026-08-16T06:02:34.783325Z"},"links":{"citing_paper":"/paper/2506.11012"},"observation_digest":"sha256:6d1d6bc65818af572ca236be402ef201526403127a0c0f03337dc1c177f9ef28","observation_id":"cc2d30b9-85cd-4a1c-ae1b-058d0b392be4","resolution":{"observed_at":"2026-08-16T06:02:34.783325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.11012","last_updated":"2025-04-27T09:42:09Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T10:58:49.589137Z","submitted_at":"2025-04-27T09:42:09Z","title":"A Survey of Task-Oriented Knowledge Graph Reasoning: Status, Applications, and Prospects"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":98,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":300},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 100 of 300 outbound references and 2 inbound Pith citation observations for arXiv:2506.11012."}