{"as_of":"2026-08-18T20:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b10f86778734f78ef341d956d1e3ea3b81869b92b3d219c32ba9fc752c541104","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T17:44:04.057045Z","state":"measured"},{"denominator":71,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":71,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T13:26:33.545223Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"cited_work":{"arxiv_id":"2502.00806","doi":"10.48550/arxiv.2502.00806","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.00806","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unigraph2: Learning a unified embedding space to bind multimodal graphs","venue":"ArXiv.org","work_id":"0895ae1f-0e1a-4df6-aa9e-5c7a234fbbcd","year":2025},"citing_paper":{"arxiv_id":"2605.11468","last_updated":"2026-05-12T03:32:54Z","snapshot_observed_at":"2026-08-15T09:41:23.059801Z","submitted_at":"2026-05-12T03:32:54Z","title":"CAMPA: Efficient and Aligned Multimodal Graph Learning via Decoupled Propagation and Aggregation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-13T01:52:23.038362Z"},"links":{"cited_paper":"/paper/2502.00806","citing_paper":"/paper/2605.11468"},"observation_digest":"sha256:b10d4eaf401c13d6931afedb4234b850833d53aaf7e699a2f10a6c3a45152fd7","observation_id":"def94cd0-18ab-4538-979d-e46933b26e24","resolution":{"observed_at":"2026-05-13T01:57:06.209604Z","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":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"cited_work":{"arxiv_id":"2502.00806","doi":"10.48550/arxiv.2502.00806","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.00806","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unigraph2: Learning a unified embedding space to bind multimodal graphs","venue":"ArXiv.org","work_id":"0895ae1f-0e1a-4df6-aa9e-5c7a234fbbcd","year":2025},"citing_paper":{"arxiv_id":"2606.12863","last_updated":"2026-06-16T15:47:06Z","snapshot_observed_at":"2026-08-15T00:00:55.044684Z","submitted_at":"2026-06-11T03:47:03Z","title":"Multimodal Graph Negative Learning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-27T07:36:40.432193Z"},"links":{"cited_paper":"/paper/2502.00806","citing_paper":"/paper/2606.12863"},"observation_digest":"sha256:52b1cc5f1fe5a3092428a91e154f2c39f604f730c328e25692ca305bc04f70d0","observation_id":"3c522675-74f1-40cf-831d-b1057ac1dd31","resolution":{"observed_at":"2026-07-03T13:48:20.701049Z","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":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"cited_work":{"arxiv_id":"2502.00806","doi":"10.48550/arxiv.2502.00806","metadata_source":"arxiv_reference","pith_arxiv_id":"2502.00806","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Unigraph2: Learning a unified embedding space to bind multimodal graphs","venue":"ArXiv.org","work_id":"0895ae1f-0e1a-4df6-aa9e-5c7a234fbbcd","year":2025},"citing_paper":{"arxiv_id":"2606.20382","last_updated":"2026-06-18T15:40:55Z","snapshot_observed_at":"2026-08-14T12:48:13.209996Z","submitted_at":"2026-06-18T15:40:55Z","title":"Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T18:17:12.794047Z"},"links":{"cited_paper":"/paper/2502.00806","citing_paper":"/paper/2606.20382"},"observation_digest":"sha256:2ef690133a604c22501ac271c7a0c05c4fdbc4eec760e0a6ea8766608bc86493","observation_id":"4aba5a43-4cbc-4b64-8688-32ae30972419","resolution":{"observed_at":"2026-06-26T18:19:40.825738Z","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":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.00806","snapshot_observed_at":"2026-08-01T13:26:33.545223Z","title":"doi:10.48550/arXiv.2502.00806 , abstract =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.19128","last_updated":"2026-07-21T14:18:25Z","snapshot_observed_at":"2026-08-18T20:32:57.286588Z","submitted_at":"2026-07-21T14:18:25Z","title":"One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-01T13:26:33.545223Z"},"links":{"cited_paper":"/paper/2502.00806","citing_paper":"/paper/2607.19128"},"observation_digest":"sha256:be12181ba5252e9d22fb709fcadd5c468600e6c68791c7a082231a46481eb5e5","observation_id":"4c5c9352-34f8-4712-be56-7c577ec0fe6d","resolution":{"observed_at":"2026-08-01T13:26:33.545223Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2502.00806/citation-record","integrity":"/paper/2502.00806/integrity","json":"/paper/2502.00806/citation-record.json","paper":"/paper/2502.00806"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-09T17:44:03.698005Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.698005Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:7a701911f77f24c019f749af74974933c0f7133a8033a31d30458199983a633c","observation_id":"655619f2-6317-4585-b17c-175f7f82892c","resolution":{"observed_at":"2026-08-09T17:44:03.698005Z","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":"2026-08-09T17:44:03.703653Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.703653Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:7f5233f78432a99a84efebc7b51dc356eeae8c3d3a5bbf6729bece500a1bc63d","observation_id":"26c19fb2-b955-44a0-a38b-e047d96561dc","resolution":{"observed_at":"2026-08-09T17:44:03.703653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.728127Z","title":null,"venue":null,"work_id":"ac34c4fb-d6dc-4f0a-abe5-583fcdcbd369","year":2021},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.708405Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:efb66dcccbcbf6cce1bcf09b0f56791cfd761691ca837af028c47085b1787e9d","observation_id":"fa91c98a-d5d6-4a7f-aa74-c05f9f5ce897","resolution":{"observed_at":"2026-08-09T17:44:05.734258Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.708033Z","title":null,"venue":null,"work_id":"9afe9097-b07e-4f75-99b2-6120b7cab699","year":2005},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.712987Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:3707674f73d52b4cc1c10f1bb27cd1ebd2213ff29c9b96192869ab1b524f55e6","observation_id":"ca983cf3-8580-4402-978d-4d6191947d9d","resolution":{"observed_at":"2026-08-09T17:44:05.713049Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2305.03668","last_updated":"2023-10-20T13:18:06Z","snapshot_observed_at":"2026-08-16T15:35:16.421728Z","submitted_at":"2023-05-05T16:38:05Z","title":"A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03668","snapshot_observed_at":"2026-08-09T17:44:03.717228Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.717228Z"},"links":{"cited_paper":"/paper/2305.03668","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:a895cf2c2137e94f081f1a34d8fc2f261c6d9bac5ef83690e97061c2867da34b","observation_id":"9761db39-d07a-42fc-be72-3bb302feb064","resolution":{"observed_at":"2026-08-09T17:44:03.717228Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.686494Z","title":null,"venue":null,"work_id":"0dbc9579-98e9-4a14-adaa-6230407d08ae","year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.721914Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:910a1f9ffa26b16091840ccfe6b2cfb2c0ff4e18fa7af8a6ca9309a5ae4939b2","observation_id":"2a13f961-e0b8-44cf-88e4-e30f04256ba8","resolution":{"observed_at":"2026-08-09T17:44:05.693385Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-09T17:44:03.727209Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.727209Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:d49f2c881cada4266acffffa6fcfd1293743e3f216e7a4ad207d267d182f711c","observation_id":"60d45094-7ee8-4a21-b762-fba6ebfed772","resolution":{"observed_at":"2026-08-09T17:44:03.727209Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.666957Z","title":null,"venue":null,"work_id":"cbd2de9e-e963-4c13-931c-d5452eb78d8f","year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.731422Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:5f7a80d42c4c11a88357a3de7e374ce0bb2cf31f52cc43862e7a3e228fd1220f","observation_id":"a8a2b0b8-e83c-43cd-b910-7b29315621ff","resolution":{"observed_at":"2026-08-09T17:44:05.672796Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-09T17:44:03.735566Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.735566Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:fcac01b7f7c921de582669c81f78785eb541e9351a7951df9146bf2fae4a9928","observation_id":"2488f4de-1a0e-4be8-9d1e-1bf0091049b7","resolution":{"observed_at":"2026-08-09T17:44:03.735566Z","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":"2026-08-09T17:44:03.740034Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.740034Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:42b10f960fbc66e2cd0349fade2b05d86619a47ccad787a20e3963216f750bc6","observation_id":"95a7bebf-3408-42bc-8b47-6fee06738086","resolution":{"observed_at":"2026-08-09T17:44:03.740034Z","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":"2026-08-09T17:44:03.748961Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.748961Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:5bbe374ac0064c14b91e0707dd031f4b33cc776fa3207c9b9b0b32ca344889f4","observation_id":"99814f9f-b4bb-4eae-952d-d7a06f544039","resolution":{"observed_at":"2026-08-09T17:44:03.748961Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.529003Z","title":null,"venue":null,"work_id":"2d9a3fe2-d764-46e3-8c69-711dd27ff0ef","year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.758905Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:5f60b8ebd306822fb301c4ffb73617c57252487a8a3724c3d8d5109f0cd703d1","observation_id":"0a14a999-bd80-462f-bcdc-529f6b506c22","resolution":{"observed_at":"2026-08-09T17:44:05.539670Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2504.15257","last_updated":"2025-04-21T17:35:42Z","snapshot_observed_at":"2026-08-16T11:27:17.531953Z","submitted_at":"2025-04-21T17:35:42Z","title":"FlowReasoner: Reinforcing Query-Level Meta-Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15257","snapshot_observed_at":"2026-08-09T17:44:03.765759Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.765759Z"},"links":{"cited_paper":"/paper/2504.15257","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:d910b1ba295779870acd4427063cf29fc13ecd74be7bd9a4391a1d76fb865846","observation_id":"1d0c77ce-042c-467e-a1a3-8002a524dab7","resolution":{"observed_at":"2026-08-09T17:44:03.765759Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.505492Z","title":null,"venue":null,"work_id":"4ecc3c7d-b7d8-445a-aa05-faee5863472a","year":2018},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.771214Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:9e2bca260136c824d3fabf4d8a5974b4ac43e9f5bf29da3dd9ec908f99f24d10","observation_id":"2619a74f-4967-404f-9ea9-b452f12afd83","resolution":{"observed_at":"2026-08-09T17:44:05.511570Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-09T17:44:03.776059Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.776059Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:5898d984dd3d18324af5c97d44b2ad035d3b78568a370e5838e0869ec71070b3","observation_id":"bf8cbf1b-3236-4389-af34-37dcb2f93f9e","resolution":{"observed_at":"2026-08-09T17:44:03.776059Z","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":"2026-08-09T17:44:03.781119Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.781119Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:82e3b037aef4d47736e8d54dc319dcaab74d295ab17a5bb8aa9492b251af5978","observation_id":"e352199c-c7d4-4947-b936-ca671c6ce0f6","resolution":{"observed_at":"2026-08-09T17:44:03.781119Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.441816Z","title":null,"venue":null,"work_id":"f83e2618-668d-4bb2-9c19-ac7bded4b8d9","year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.791043Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:cccc53eae14c7e9e02ffc6e2ce78afc8ee8f0abf4c0b1c5e800b0589e4b5ff24","observation_id":"35a7e2b6-da7e-43a9-a5aa-85118a76b09e","resolution":{"observed_at":"2026-08-09T17:44:05.446655Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.421850Z","title":null,"venue":null,"work_id":"533b52d8-4046-485c-9fd3-3ed392b67764","year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.796209Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:88c21ccf96dcc1be60ddb074f8bf43c0fd544fb26d507d9e1bbca3e05252340f","observation_id":"4f3e8e6a-7fe7-427d-bf0d-f81125487256","resolution":{"observed_at":"2026-08-09T17:44:05.427607Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2402.07630","last_updated":"2024-05-27T04:04:40Z","snapshot_observed_at":"2026-08-18T09:39:23.932353Z","submitted_at":"2024-02-12T13:13:04Z","title":"G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.07630","snapshot_observed_at":"2026-08-09T17:44:03.802422Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.802422Z"},"links":{"cited_paper":"/paper/2402.07630","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:c6472d20bcceb2d66072d46f2a535be75e70b496dc2a60e904dc7d3bdfa92c98","observation_id":"bf2cf644-544c-439c-b305-a523376492a6","resolution":{"observed_at":"2026-08-09T17:44:03.802422Z","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":"2407.03953","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:04.547118Z","title":null,"venue":null,"work_id":"f8952fb5-1229-46c0-8cac-153a11a029b1","year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.808859Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:0de44dc053b261403099bd467cd940e03fd7769f7adc6e91f5174293879c4636","observation_id":"38431601-4694-4e82-8ec8-05aad3a49b9c","resolution":{"observed_at":"2026-08-09T17:44:04.560973Z","resolver_source":"raw_fallback","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":"2502.12206","last_updated":"2025-02-16T16:29:20Z","snapshot_observed_at":"2026-08-16T12:57:58.998692Z","submitted_at":"2025-02-16T16:29:20Z","title":"Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.12206","snapshot_observed_at":"2026-08-09T17:44:03.818105Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.818105Z"},"links":{"cited_paper":"/paper/2502.12206","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:86ef06edd611139e35a92b267817ef0d2b1c8bebaa459be7c4e885e18765ac30","observation_id":"5b576018-d81a-4c12-9c91-48dff8985ffe","resolution":{"observed_at":"2026-08-09T17:44:03.818105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.399989Z","title":null,"venue":null,"work_id":"2e33b246-bac3-4cc8-9b87-22c5e0f297f4","year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.825185Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:580f23b322f769e32dc5e44570353b9df7609eda149bc98b06b7014f6b08f605","observation_id":"946e8c48-f029-43eb-8a99-903416f5efda","resolution":{"observed_at":"2026-08-09T17:44:05.407334Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2402.13630","last_updated":"2025-01-20T15:12:02Z","snapshot_observed_at":"2026-08-16T14:16:40.841450Z","submitted_at":"2024-02-21T09:06:31Z","title":"UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13630","snapshot_observed_at":"2026-08-09T17:44:03.830499Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.830499Z"},"links":{"cited_paper":"/paper/2402.13630","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:039d95de279fa317cde9f92441dede9b03351c874f6bd32eabd35e078cd9a982","observation_id":"3570c841-75ee-4ff6-a98b-b1f350c7f4ab","resolution":{"observed_at":"2026-08-09T17:44:03.830499Z","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":"2026-08-09T17:44:03.836078Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.836078Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:4eee28b8dc792908c55e21803d785f272cf1f3fea82c9188c657093cf6d63d56","observation_id":"7dcdb169-d420-4671-a1f5-0118193c05a5","resolution":{"observed_at":"2026-08-09T17:44:03.836078Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02953","last_updated":"2024-06-05T05:22:32Z","snapshot_observed_at":"2026-08-18T01:00:37.566198Z","submitted_at":"2024-06-05T05:22:32Z","title":"GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02953","snapshot_observed_at":"2026-08-09T17:44:03.841506Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.841506Z"},"links":{"cited_paper":"/paper/2406.02953","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:6fa72895f6835b8ecd1564b22bb1defb50629b3f4ee1c88272b964c61b7296fe","observation_id":"7586267c-62d2-436a-9767-be8ff63651f2","resolution":{"observed_at":"2026-08-09T17:44:03.841506Z","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":"2026-08-09T17:44:03.846442Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.846442Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:1e89804df0b0b8cd879ff5286ef5174e1dd7f12f8e7f1dfa7f01f62a284c5cac","observation_id":"e7c5931a-7809-4e1d-a9ce-4cbb7777c0cf","resolution":{"observed_at":"2026-08-09T17:44:03.846442Z","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":"2026-08-09T17:44:03.851119Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.851119Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:7dc07b392f65ab30a0061723754a7b520aa71f4614c2458a36c1afb972d2007b","observation_id":"e0bfc337-f98e-473e-b6ec-ea96fc2d39d3","resolution":{"observed_at":"2026-08-09T17:44:03.851119Z","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":"2026-08-09T17:44:03.855755Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.855755Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:cdb9ee8336c7953e3bd71e01c770517aa3235249c562a531e6e36174493d045a","observation_id":"d4765bb5-6a90-4658-82e1-1a3ac5bb7e70","resolution":{"observed_at":"2026-08-09T17:44:03.855755Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.287030Z","title":null,"venue":null,"work_id":"cbdaaf4b-39e2-460c-9b12-cd0d9ae4502b","year":null},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.859999Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:83aa4c3dde5dd8a63491c462dcd78fbb8b04f697686e92688e5fa80db128b33f","observation_id":"cc773ccf-cf2d-4c73-8e95-b9fb6219ce16","resolution":{"observed_at":"2026-08-09T17:44:05.292217Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-09T17:44:03.864799Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.864799Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:5e2dfec1ade6eccb0b90bc1ae550cc2b96e3ead81a081ccffd54893a5169cff7","observation_id":"539c9109-e45d-4bfd-80ba-ded880d6ff8e","resolution":{"observed_at":"2026-08-09T17:44:03.864799Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.239836Z","title":null,"venue":null,"work_id":"85f846a6-b4da-4f4d-9233-213ffa3ef671","year":2019},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.869226Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:67110c4d7b7c90900e63f5bf3ac4296a3dac461d94234f4320f4a3877cc17f3d","observation_id":"214b335f-a50c-477e-9cea-02cb362508a3","resolution":{"observed_at":"2026-08-09T17:44:05.251454Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-09T17:44:03.874258Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.874258Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:4d22c4f6e17d32819c92a1f6ccd7a979f42c35f56affb4de5956151b76994ed4","observation_id":"ea1a0eec-81e1-4eb0-9ce2-4be8432a6272","resolution":{"observed_at":"2026-08-09T17:44:03.874258Z","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":"2026-08-09T17:44:03.878545Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.878545Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:b54bc71df3a51abb2100d0b65ee36506bfd7b651445c37ae62a843d97247b011","observation_id":"f06b0bcc-43d6-44ab-9ab7-ed4c545a9cd8","resolution":{"observed_at":"2026-08-09T17:44:03.878545Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.151315Z","title":null,"venue":null,"work_id":"68d6d489-fe84-4108-927b-ed2193b68b0d","year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.885816Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:1a884c1984be68bd911f588bf3d2f3721b9cc054152ff6ca3f570eb723232c18","observation_id":"15adcf29-b9c0-4c34-be39-e7e1a577c1d0","resolution":{"observed_at":"2026-08-09T17:44:05.156913Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2503.23077","last_updated":"2025-08-13T15:48:46Z","snapshot_observed_at":"2026-08-16T12:45:45.167493Z","submitted_at":"2025-03-29T13:27:46Z","title":"Efficient Inference for Large Reasoning Models: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23077","snapshot_observed_at":"2026-08-09T17:44:03.893583Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.893583Z"},"links":{"cited_paper":"/paper/2503.23077","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:73f14da9cb169f51bd76c7d750ed56544a3ceb8a9f1ee9e19590fabd47e84ab2","observation_id":"053de819-8571-4e72-9359-0919bd6287a2","resolution":{"observed_at":"2026-08-09T17:44:03.893583Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.123776Z","title":null,"venue":null,"work_id":"234e73e1-8906-40e8-afc0-d7c58b44c91b","year":2016},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.898400Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:d83ccb83e768caacd6cbabb98714806cf4410118c95165b06eccd43b309c7320","observation_id":"45655137-8e6d-4f83-aff2-af13fe1a7b0f","resolution":{"observed_at":"2026-08-09T17:44:05.131581Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2007.02901","last_updated":"2022-01-09T23:19:38Z","snapshot_observed_at":"2026-08-18T19:43:02.506089Z","submitted_at":"2020-07-06T17:25:47Z","title":"Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.02901","snapshot_observed_at":"2026-08-09T17:44:03.903333Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.903333Z"},"links":{"cited_paper":"/paper/2007.02901","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:98a1fef74cf2905b12bb7e2c3cfbcc791eb7bace7dc48034d329d94df168dee8","observation_id":"443d3da0-f574-42ab-acb8-f51ca7dcd123","resolution":{"observed_at":"2026-08-09T17:44:03.903333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.07316","last_updated":"2023-03-19T13:37:01Z","snapshot_observed_at":"2026-08-17T06:54:11.300249Z","submitted_at":"2022-10-13T19:42:08Z","title":"MTEB: Massive Text Embedding Benchmark","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.07316","snapshot_observed_at":"2026-08-09T17:44:03.908730Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.908730Z"},"links":{"cited_paper":"/paper/2210.07316","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:772ff07ccf3f0742822aa70614faabbfb4c4e8cab6f6d715cba29727c11f4cbe","observation_id":"c6311a5b-5ec8-4562-ad8f-c34f86d834de","resolution":{"observed_at":"2026-08-09T17:44:03.908730Z","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":"2026-08-09T17:44:03.914329Z","title":null,"venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.914329Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:8b90133c9be251831dad7d6ff5a17ba06e6ee76a3790fd0c86eee372cca956ff","observation_id":"355606b2-975b-4538-a6bd-66bf87db8d7e","resolution":{"observed_at":"2026-08-09T17:44:03.914329Z","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":"2026-08-09T17:44:03.919404Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.919404Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:dfce68bcdf2e98a15b8be6ee0c28499bbea8299eba6c889b89b1183072b0938b","observation_id":"93be4a50-31c8-43cd-bee4-c816a3735770","resolution":{"observed_at":"2026-08-09T17:44:03.919404Z","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":"2026-08-09T17:44:03.924185Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.924185Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:55b3a7deb9f34e93f75bfae568e0a07d03993500419e8782957747d2aab2773e","observation_id":"a98a7c8c-64b0-493e-8c4a-9e4a6082ba85","resolution":{"observed_at":"2026-08-09T17:44:03.924185Z","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":"2026-08-09T17:44:03.930052Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.930052Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:3488f5a583bb6d4c589c0795284c7bd0db243170fbf86a87d9bf9de293e09525","observation_id":"ef10d56e-267c-4eb1-b7fc-8b357fe0ab5c","resolution":{"observed_at":"2026-08-09T17:44:03.930052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.012781Z","title":null,"venue":null,"work_id":"533d231e-b0c0-4eac-a4cc-2f2d9a4d6fcf","year":2001},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.934914Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:107a7192b452d35e40c147728d8d8cc0d6e9aa903d2aa066e4cf326f54a30b46","observation_id":"596d4a4b-6e49-46de-adb1-482859e9cabc","resolution":{"observed_at":"2026-08-09T17:44:05.019628Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"1701.06538","last_updated":"2017-01-23T18:10:00Z","snapshot_observed_at":"2026-08-13T11:35:07.866136Z","submitted_at":"2017-01-23T18:10:00Z","title":"Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1701.06538","snapshot_observed_at":"2026-08-09T17:44:03.940380Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.940380Z"},"links":{"cited_paper":"/paper/1701.06538","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:db64b0e022680473a0fa1b5cde94467e412c4a925dfe40dbf020ef84b80554dc","observation_id":"4ddaf9f7-40f8-4aac-90ec-cc7f4d12abb9","resolution":{"observed_at":"2026-08-09T17:44:03.940380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.19918","last_updated":"2026-05-07T16:58:35Z","snapshot_observed_at":"2026-08-02T05:40:27.766263Z","submitted_at":"2025-02-27T09:40:13Z","title":"Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.19918","snapshot_observed_at":"2026-08-09T17:44:03.946683Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.946683Z"},"links":{"cited_paper":"/paper/2502.19918","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:a544a9322e03dbdeaf0e3a6ced940e7f010ccfdb5e8c3e48bcb54ee96aed57d6","observation_id":"cc537660-bc5b-45e1-a2ab-656cab858fc1","resolution":{"observed_at":"2026-08-09T17:44:03.946683Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08085","last_updated":"2025-05-22T06:20:51Z","snapshot_observed_at":"2026-08-16T13:10:38.186817Z","submitted_at":"2024-10-10T16:29:21Z","title":"Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering","version":4},"cited_work":{"arxiv_id":"2410.08085","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.08085","snapshot_observed_at":"2026-08-09T17:44:04.293560Z","title":"Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering","venue":"cs.CL","work_id":"39b48f43-445e-4fbd-8027-080326912dc9","year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.952204Z"},"links":{"cited_paper":"/paper/2410.08085","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:f8ab503f7b213bbe02685bf7c5f0ff7c0598c2217b7c9a6db0b359920133d27d","observation_id":"8a3a7f9b-6b45-48a4-980e-4be4a3c2a120","resolution":{"observed_at":"2026-08-09T17:44:04.299337Z","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":"2405.13873","last_updated":"2025-05-22T08:07:01Z","snapshot_observed_at":"2026-08-16T13:50:31.502466Z","submitted_at":"2024-05-22T17:56:53Z","title":"FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.13873","snapshot_observed_at":"2026-08-09T17:44:03.958026Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.958026Z"},"links":{"cited_paper":"/paper/2405.13873","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:870eda54c94f93542095ebd7c640ed75e5e9aa8be07e84f6c231e063627a4bce","observation_id":"dc357cc7-3823-4f17-b5a0-97b82fa2b138","resolution":{"observed_at":"2026-08-09T17:44:03.958026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:04.991912Z","title":null,"venue":null,"work_id":"5bc557dd-dc69-481f-9892-42054e8509a8","year":2021},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.963706Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:21dee18d8014ff484c3999ef2065930e75bc3ab60b1c03946e18e5e0a581b823","observation_id":"3446df8c-6bc2-47fa-9061-aa4d35d25fa5","resolution":{"observed_at":"2026-08-09T17:44:04.999181Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-09T17:44:03.969608Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.969608Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:4e3d5676b61e7f2a40f65796d132ea1d7a067fd85c362fd8253df6021575be6b","observation_id":"3c67e81f-547c-440c-b616-51c4d8514a1c","resolution":{"observed_at":"2026-08-09T17:44:03.969608Z","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":"2026-08-09T17:44:03.975555Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.975555Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:7e4b3c16acfdad3c917b7c07df1f447a109a5b1bd0859b50c9463f096353aca8","observation_id":"6cfe5d4b-7f4f-4df3-9c8b-59aee2f24e2b","resolution":{"observed_at":"2026-08-09T17:44:03.975555Z","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":"2026-08-09T17:44:03.980311Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.980311Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:a7739326e27e659c55db6a66bc5e90f92eeec26a4016bcd51ce44506644d7e13","observation_id":"98584082-cf7f-4762-88ef-1969cc6d9e2b","resolution":{"observed_at":"2026-08-09T17:44:03.980311Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:04.895271Z","title":null,"venue":null,"work_id":"8fa9e550-5e8e-4045-9ddc-ee5a7da827a8","year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.985590Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:892537c078801598ef91436df72f34f894a2f61477825ad101ff4ac24d863d11","observation_id":"5bc0d7fd-fb1a-467d-9032-b29b494eae55","resolution":{"observed_at":"2026-08-09T17:44:04.901129Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:04.872449Z","title":null,"venue":null,"work_id":"e2a05ea3-eae0-415b-81f4-665db234457c","year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.991437Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:c0d7aa89e93b8d26fb105806f450463cbb0d4b302d20cdfc4cc0f7ad41e9c3e0","observation_id":"4ad7d416-c585-43cf-a50f-3814c9ae9b1f","resolution":{"observed_at":"2026-08-09T17:44:04.882618Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2305.11172","last_updated":"2023-05-18T17:59:06Z","snapshot_observed_at":"2026-08-16T15:31:55.397644Z","submitted_at":"2023-05-18T17:59:06Z","title":"ONE-PEACE: Exploring One General Representation Model Toward Unlimited Modalities","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11172","snapshot_observed_at":"2026-08-09T17:44:03.999167Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.999167Z"},"links":{"cited_paper":"/paper/2305.11172","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:5191cc12736cdb7678b9da100b93fef65e13d35156d3cb043e86dab4e2a9892f","observation_id":"eff5863f-fcb8-42ac-8896-e8c5dfbd2728","resolution":{"observed_at":"2026-08-09T17:44:03.999167Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.04693","last_updated":"2024-10-28T11:34:06Z","snapshot_observed_at":"2026-08-16T14:36:40.957109Z","submitted_at":"2023-12-07T20:56:07Z","title":"GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts","version":3},"cited_work":{"arxiv_id":"2312.04693","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.04693","snapshot_observed_at":"2026-08-09T17:44:04.216256Z","title":"GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts","venue":"cs.LG","work_id":"f26c27e4-e744-4675-a967-712cace9e538","year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.004084Z"},"links":{"cited_paper":"/paper/2312.04693","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:1a5efb12b92e74c356c12759d30cdc7cba92816c1ffde297667e4810fe0e6f89","observation_id":"6fc85e4e-75f8-4587-94ba-15a233b3b1be","resolution":{"observed_at":"2026-08-09T17:44:04.224041Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:04.843585Z","title":null,"venue":null,"work_id":"c9975262-801d-4f66-9557-8f6af396dc7e","year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.010317Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:711e0ef08b0b8d88ad891613370bf857b39b63084d91e06980e6f6a0463c0f63","observation_id":"1a8c2ace-93ce-4c04-a031-adbf09870360","resolution":{"observed_at":"2026-08-09T17:44:04.853147Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2310.07478","last_updated":"2023-10-12T17:07:24Z","snapshot_observed_at":"2026-08-16T14:53:04.537900Z","submitted_at":"2023-10-11T13:25:03Z","title":"Multimodal Graph Learning for Generative Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.07478","snapshot_observed_at":"2026-08-09T17:44:04.014397Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.014397Z"},"links":{"cited_paper":"/paper/2310.07478","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:4b5a3f948814de2fe2aefdc3a61e2aaa17bda9e36039b3a41910d1e9f3d1521d","observation_id":"68b36ef9-24a7-4e27-9164-c694a7150254","resolution":{"observed_at":"2026-08-09T17:44:04.014397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:04.806312Z","title":null,"venue":null,"work_id":"0f230871-c1fc-45ce-a822-557141da8ba0","year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.019994Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:e7ec3de08fd595ef2f5bcecf8a4530d5f2101c2b5cfeef5ac57a81db7553c353","observation_id":"f46f061a-4467-4e6b-a175-d4f970885f06","resolution":{"observed_at":"2026-08-09T17:44:04.818174Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2112.04319","last_updated":"2022-06-13T10:39:13Z","snapshot_observed_at":"2026-08-16T17:36:10.585661Z","submitted_at":"2021-12-08T14:51:30Z","title":"SCR: Training Graph Neural Networks with Consistency Regularization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.04319","snapshot_observed_at":"2026-08-09T17:44:04.029957Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.029957Z"},"links":{"cited_paper":"/paper/2112.04319","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:766854b3872719b26a0a760e225533b10a3d37f077890a6b37b9301d46bae66d","observation_id":"bf2f67a2-eb15-4d88-aa3b-b26e71089534","resolution":{"observed_at":"2026-08-09T17:44:04.029957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.01068","last_updated":"2022-06-21T17:04:40Z","snapshot_observed_at":"2026-08-06T03:13:37.403059Z","submitted_at":"2022-05-02T17:49:50Z","title":"OPT: Open Pre-trained Transformer Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.01068","snapshot_observed_at":"2026-08-09T17:44:04.035810Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.035810Z"},"links":{"cited_paper":"/paper/2205.01068","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:517ccdcb936eab58889756c5018226cff6669ecd0bda09535614564da8f32fa7","observation_id":"6317a1c2-fe7a-4dc1-a801-24dc3ce22792","resolution":{"observed_at":"2026-08-09T17:44:04.035810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.15992","last_updated":"2024-10-11T05:42:01Z","snapshot_observed_at":"2026-08-17T02:43:29.842349Z","submitted_at":"2024-06-23T02:59:15Z","title":"Can LLM Graph Reasoning Generalize beyond Pattern Memorization?","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.15992","snapshot_observed_at":"2026-08-09T17:44:04.041047Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.041047Z"},"links":{"cited_paper":"/paper/2406.15992","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:05ce4b75393ff58a0e5d2a2433e01c5a504bea4a3e7410241d95cd699874363a","observation_id":"9cdc7995-1cbe-4487-b221-334a3652bda3","resolution":{"observed_at":"2026-08-09T17:44:04.041047Z","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":"2026-08-09T17:44:04.046392Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.046392Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:55e7bc063dc54f8929f7f2737d9f20321d2ab316e18cdb06dcb3a7a438546e16","observation_id":"90b13948-be69-43f4-9bec-dd08dfcc3f1b","resolution":{"observed_at":"2026-08-09T17:44:04.046392Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:04.754799Z","title":null,"venue":null,"work_id":"eea2816a-8fef-4b20-9011-8ae43ed186fb","year":2022},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.051710Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:03b703e76a0fc440610f03626b76250c318bbf4f387912bec013e3a573e6efef","observation_id":"02cc938e-5e41-41fd-9f17-1b6271a1e28e","resolution":{"observed_at":"2026-08-09T17:44:04.761950Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2406.16321","last_updated":"2025-03-30T06:11:30Z","snapshot_observed_at":"2026-08-16T13:40:17.571818Z","submitted_at":"2024-06-24T05:14:09Z","title":"Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16321","snapshot_observed_at":"2026-08-09T17:44:04.057045Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:04.057045Z"},"links":{"cited_paper":"/paper/2406.16321","citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:3269f4e97c9f845aca9491d964fcd037788d59aa45d7e34abfb10500d23d8f02","observation_id":"a8a1817e-2f9d-444b-8dc8-d8c449da691e","resolution":{"observed_at":"2026-08-09T17:44:04.057045Z","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":"2026-08-09T17:44:03.786134Z","title":"In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.786134Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:2e2f18b3b41366f63bc2e230f5d5240a0016aa4a1ccdc6a454591a9ee3bfb76a","observation_id":"ab91245a-e830-43a1-b5cd-03c37412ee1c","resolution":{"observed_at":"2026-08-09T17:44:03.786134Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.602492Z","title":"Nature Machine Intelligence 5, 4 (2023), 340–350","venue":null,"work_id":"30afc1a2-eefa-4e53-922b-70d8a2fdf1ab","year":2023},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.744434Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:eb68780ec85e7d2b502a98cca97585abc101a0c6766b4e4d9624274cf1165bb7","observation_id":"5cecf82f-10d0-489e-8211-c3233b437576","resolution":{"observed_at":"2026-08-09T17:44:05.608106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T17:44:05.561806Z","title":"ICLR (2024)","venue":null,"work_id":"7a098cca-440a-48a8-be23-062acb7d8c33","year":2024},"citing_paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-09T17:44:03.754329Z"},"links":{"citing_paper":"/paper/2502.00806"},"observation_digest":"sha256:580af4a3dbe65c8a037d92b1ee2b73cb60abcdf2c5debdc54875e0a5c733fe4a","observation_id":"0543a7b4-18e6-4085-aa45-b177442f73f3","resolution":{"observed_at":"2026-08-09T17:44:05.568851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}}],"paper":{"arxiv_id":"2502.00806","last_updated":"2025-04-25T05:12:51Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T09:40:03.383178Z","submitted_at":"2025-02-02T14:04:53Z","title":"UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":62,"verified_exact":3,"verified_fuzzy":2},"total_outbound_references":67},"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 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 4 inbound Pith citation observations for arXiv:2502.00806."}