{"as_of":"2026-08-17T13:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:771279cabad2dc16115d45d0cec14af3707d0549577158cc0a9cd4b29cbde8b8","coverage":[{"denominator":56,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":56,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:16:57.006893Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T01:29:55.885301Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T13:16:58.437190Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"cited_work":{"arxiv_id":"2501.15555","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.15555","snapshot_observed_at":"2026-07-02T13:16:58.437190Z","title":null,"venue":null,"work_id":"754bc9bf-532b-47bb-a582-c913fa3c7357","year":2025},"citing_paper":{"arxiv_id":"2606.05874","last_updated":"2026-06-04T08:47:15Z","snapshot_observed_at":"2026-08-14T23:07:35.126143Z","submitted_at":"2026-06-04T08:47:15Z","title":"Evaluating Stochastic Collapse and Implicit Bias in Multimodal Large Language Models","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-06-28T01:29:55.885301Z"},"links":{"cited_paper":"/paper/2501.15555","citing_paper":"/paper/2606.05874"},"observation_digest":"sha256:31340917b0ceeab139abdd08a94135edcd09c472be113fcefd5b236a99e6a46d","observation_id":"97022d25-67c9-42ec-92b1-27b5f0412a5d","resolution":{"observed_at":"2026-07-02T13:16:58.438767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.15555/citation-record","integrity":"/paper/2501.15555/integrity","json":"/paper/2501.15555/citation-record.json","paper":"/paper/2501.15555"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.08191","last_updated":"2023-06-14T14:25:15Z","snapshot_observed_at":"2026-08-16T15:54:56.452816Z","submitted_at":"2023-02-16T10:16:21Z","title":"LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.08191","snapshot_observed_at":"2026-08-10T14:16:56.765829Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.765829Z"},"links":{"cited_paper":"/paper/2302.08191","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:9a1bc5334ac34ddcc3d29f24da32933d88587c678d362193736bb6095b4a9978","observation_id":"e5f993c7-c9c7-44c4-ba18-56a2ecbb7626","resolution":{"observed_at":"2026-08-10T14:16:56.765829Z","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":"2026-08-10T14:16:57.741320Z","title":null,"venue":null,"work_id":"df4c13a4-e528-4312-b739-883221151887","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.771318Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:d83c1b84c97e6fcd7823875058c64e642ab4970de9327e3d447212886dcc9031","observation_id":"9f0c8189-00ff-4cad-90b2-edea6fce81c5","resolution":{"observed_at":"2026-08-10T14:16:57.745691Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.727903Z","title":null,"venue":null,"work_id":"e5d64801-d460-4942-a7f5-3c2a8b4c95b0","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.775584Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:b2ba2ae0b6c3a6388bf63abd4289cab4109a3dd6d76b291d9ab4db35eb453f8f","observation_id":"dbf369a7-6d50-46ad-b669-9810dccfff99","resolution":{"observed_at":"2026-08-10T14:16:57.731952Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.714189Z","title":null,"venue":null,"work_id":"dab1fc4a-4008-47b2-a9d7-a39f14d1b451","year":1977},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.781205Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:975c9bc3e3643f92e7d1efe02f986a829ccc398033f1a4061d14e81acc09709c","observation_id":"34171d63-fed4-472d-9cca-d57a5d0e1b24","resolution":{"observed_at":"2026-08-10T14:16:57.718991Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.700863Z","title":null,"venue":null,"work_id":"da97cd65-a0a0-49e4-9e37-e3e33d5b6e9d","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.785820Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:bd2451c7c3ea57adfb6243c4e2a64df72f16a4261eee9f87bc607536246889c1","observation_id":"fdb6f3cd-0e36-4175-ac55-858ec4b51d11","resolution":{"observed_at":"2026-08-10T14:16:57.705072Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.790305Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.790305Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:553d09264edf7ecfbe2e71149b60d52210d474ce6d9ad97687593c883ee1de98","observation_id":"1169548f-2d91-44ea-bcf6-da3e38e63080","resolution":{"observed_at":"2026-08-10T14:16:56.790305Z","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":"2026-08-10T14:16:57.680245Z","title":null,"venue":null,"work_id":"90fd4914-ddaf-4b00-98d6-65917b460cae","year":2022},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.795787Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:418054eca324ae06fb6a0d91262f9e075931ce3b9382ae2f2f0136c6a218f9be","observation_id":"e5dbbbba-459e-4041-a9e6-8d3b013b8db8","resolution":{"observed_at":"2026-08-10T14:16:57.684398Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.667193Z","title":null,"venue":null,"work_id":"9bd80bd6-4876-4e6c-ab9b-84a3852477a8","year":2020},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.799925Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:c0cccaef2418caaa0221e2e5377f951e44f76f1a565bf05dd6f8a75e269c56ed","observation_id":"77a62eb8-60c9-44c4-a185-e08a122caf0b","resolution":{"observed_at":"2026-08-10T14:16:57.671154Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.654589Z","title":null,"venue":null,"work_id":"df7e0243-d08d-41e2-88ee-784e82308284","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.803952Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:43caef2aa9cb8b77af251f3d8a42c3588b1f0df34af14b3d7fa8eb546c05d986","observation_id":"0f28b215-6938-43a3-87b9-0214015405cb","resolution":{"observed_at":"2026-08-10T14:16:57.658694Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1611.07308","last_updated":"2016-11-21T11:37:17Z","snapshot_observed_at":"2026-08-14T21:29:27.927932Z","submitted_at":"2016-11-21T11:37:17Z","title":"Variational Graph Auto-Encoders","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.07308","snapshot_observed_at":"2026-08-10T14:16:56.808114Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.808114Z"},"links":{"cited_paper":"/paper/1611.07308","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:541683f31b8fdc640bcb9f36d10a2d8f45872ed712530286b8874561409898cc","observation_id":"1dc510c8-f426-455d-857c-994a1a88b10f","resolution":{"observed_at":"2026-08-10T14:16:56.808114Z","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":"2026-08-10T14:16:57.641004Z","title":null,"venue":null,"work_id":"737f711e-d421-4d37-ac89-33bbd80eb95c","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.812574Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:39cb793ea1229f7333bb9ac285158ff27b778c0a4822c7bf72afd9a06038dac0","observation_id":"e9fe4156-5cc5-4922-b932-ce080a4fb241","resolution":{"observed_at":"2026-08-10T14:16:57.645906Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01629","last_updated":"2024-06-01T10:20:52Z","snapshot_observed_at":"2026-08-17T07:09:34.835551Z","submitted_at":"2024-06-01T10:20:52Z","title":"RecDiff: Diffusion Model for Social Recommendation","version":1},"cited_work":{"arxiv_id":"2406.01629","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.01629","snapshot_observed_at":"2026-08-10T14:16:57.164272Z","title":"RecDiff: Diffusion Model for Social Recommendation","venue":"cs.IR","work_id":"2a42643a-dffc-4abf-a35a-95469dbd675e","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.816867Z"},"links":{"cited_paper":"/paper/2406.01629","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:b7b22cba8eb0af79d7e5338778794f93ab836d5be936070c009db5e2f7cd96a2","observation_id":"8f0b4e77-325b-4b24-82cc-7940eb3040d0","resolution":{"observed_at":"2026-08-10T14:16:57.169012Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.821534Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.821534Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:cb95454f74296f8074edf9045fb657c2330667d0a5cdac57855d38728ee46a07","observation_id":"014e4129-29a4-4b2a-be0c-c1f797f66523","resolution":{"observed_at":"2026-08-10T14:16:56.821534Z","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":"2026-08-10T14:16:57.606870Z","title":null,"venue":null,"work_id":"f568953b-31cc-4a33-a765-ddac59a063b5","year":2019},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.830334Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:9d9aa5f236a158eb5e5a457646b38ca195c2ce6036cb903127117a2afa564441","observation_id":"0095547e-4fd6-4e5d-9bbb-7665e7a063eb","resolution":{"observed_at":"2026-08-10T14:16:57.611624Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.593282Z","title":null,"venue":null,"work_id":"d2f6f42a-e054-4cb3-828a-c772d040a32e","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.834476Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:a9095d8beabcf1e14c878fbab2afe5e030d33ef41b4369014eae1ff1a18e7989","observation_id":"0427f874-e644-494c-b0be-9576fbc7abbc","resolution":{"observed_at":"2026-08-10T14:16:57.597855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05054","last_updated":"2023-11-08T23:33:39Z","snapshot_observed_at":"2026-08-16T14:44:48.698134Z","submitted_at":"2023-11-08T23:33:39Z","title":"Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications","version":1},"cited_work":{"arxiv_id":"2311.05054","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.05054","snapshot_observed_at":"2026-08-10T14:16:57.145677Z","title":"Geometry-Calibrated DRO: Combating Over-Pessimism with Free Energy Implications","venue":"cs.LG","work_id":"c00cd390-ef4c-4160-a310-cdc313c9a5c2","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.839382Z"},"links":{"cited_paper":"/paper/2311.05054","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:ccd7382b2edc4229563d897e0dc76b6324a81393017fc64d547e0a9b29c31c25","observation_id":"70499a40-e166-47d8-8f8a-9b9cc0ed001e","resolution":{"observed_at":"2026-08-10T14:16:57.150441Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.843736Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.843736Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:4ef470d6391c2d204699d7bf534cb7db8ec3fc3547413c95a36cac93a6b8bd4d","observation_id":"b0d5caa9-2cbf-4646-8565-2450121c7ec8","resolution":{"observed_at":"2026-08-10T14:16:56.843736Z","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":"2026-08-10T14:16:57.560116Z","title":null,"venue":null,"work_id":"4041eb14-ac8c-419d-a659-4b0236fdeb3f","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.852368Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:e43f4397106186974573456e2c90fc0e278b250a9d4e6d529a68439208bf40dc","observation_id":"b1971bbc-974b-40b9-994b-fff2345c5323","resolution":{"observed_at":"2026-08-10T14:16:57.564118Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.547200Z","title":null,"venue":null,"work_id":"65da0ed1-075f-4a7b-9b8e-9704dc50df89","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.857322Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:05323cd14d40019bf288eaa4c1899c16954d7f40199141c73cf398341849200c","observation_id":"9c527137-1c1f-451f-ae89-d295444a677b","resolution":{"observed_at":"2026-08-10T14:16:57.551523Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.13943","last_updated":"2023-07-26T03:48:37Z","snapshot_observed_at":"2026-08-16T15:13:15.021756Z","submitted_at":"2023-07-26T03:48:37Z","title":"Topology-aware Robust Optimization for Out-of-distribution Generalization","version":1},"cited_work":{"arxiv_id":"2307.13943","doi":null,"metadata_source":"pith","pith_arxiv_id":"2307.13943","snapshot_observed_at":"2026-08-10T14:16:57.125454Z","title":"Topology-aware Robust Optimization for Out-of-distribution Generalization","venue":"cs.LG","work_id":"31eceae8-de90-44ea-b210-5510734a6bc4","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.861374Z"},"links":{"cited_paper":"/paper/2307.13943","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:c81af7a60ceb8c4361541f5c2ef2b5402068fe0d16c0c5b129648e204568a3dc","observation_id":"b025a79a-f74a-4b51-ad39-2bafd4107577","resolution":{"observed_at":"2026-08-10T14:16:57.131220Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.534635Z","title":null,"venue":null,"work_id":"6cf29c1c-9f00-4e6b-92c0-9a3c58f1b583","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.865609Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:98c54e142977edb24a072a256261e81c8f71df6f2902758af5526cf46509aad6","observation_id":"5d3567c9-d37e-4464-a072-28e1dc5c57c4","resolution":{"observed_at":"2026-08-10T14:16:57.538796Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.05659","last_updated":"2019-08-13T00:43:41Z","snapshot_observed_at":"2026-08-15T17:50:04.032669Z","submitted_at":"2019-08-13T00:43:41Z","title":"Distributionally Robust Optimization: A Review","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.05659","snapshot_observed_at":"2026-08-10T14:16:56.869602Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.869602Z"},"links":{"cited_paper":"/paper/1908.05659","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:702df2749fb1a6131b840160ede5f1e42b91ae4128e0dd98c3df365c4f33d65b","observation_id":"c9dda294-b101-41b2-a972-45b5afee031e","resolution":{"observed_at":"2026-08-10T14:16:56.869602Z","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":"2026-08-10T14:16:56.873823Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.873823Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:8beed8acea8c792ff2ad9b4c377b34e63ac89590530699417daa37acfa5da3bd","observation_id":"46ac6557-5aa2-4c39-9864-553496ffe3f0","resolution":{"observed_at":"2026-08-10T14:16:56.873823Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01063","last_updated":"2024-05-27T07:33:45Z","snapshot_observed_at":"2026-08-16T13:56:04.679542Z","submitted_at":"2024-05-02T07:40:51Z","title":"Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach","version":2},"cited_work":{"arxiv_id":"2405.01063","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.01063","snapshot_observed_at":"2026-08-10T14:16:57.092125Z","title":"Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach","venue":"cs.IR","work_id":"1bf1e7df-5e6c-4489-9485-36ea59f55619","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.882121Z"},"links":{"cited_paper":"/paper/2405.01063","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:a68bff75b09b0e49c08cd8e577254e5f2defa219a4c37103c5a4ea4a550e6aad","observation_id":"ad8c76cf-daad-4543-b5b6-d1831a66434f","resolution":{"observed_at":"2026-08-10T14:16:57.097280Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.500473Z","title":null,"venue":null,"work_id":"28c64bd2-b129-441f-80f3-92ebe1c2f61d","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.886794Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:ae1169d679035af2708a783242341d7e369352ea2c7d3f2b960fd8388712b758","observation_id":"ca818b86-27b3-4b33-833e-3f122b130df8","resolution":{"observed_at":"2026-08-10T14:16:57.504492Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.890946Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.890946Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:50644988779a78dc02ac613ce3216a0842c812c531e5fb7e7d0122984966030a","observation_id":"114eefa7-3cb5-447b-bec6-6812c9864064","resolution":{"observed_at":"2026-08-10T14:16:56.890946Z","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":"2026-08-10T14:16:57.470844Z","title":null,"venue":null,"work_id":"73836062-c852-4651-8839-2950285a2d90","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.901139Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:8402e9eea35179fd9a85a26d6e6c55b1f810db7ad8f7816b3a81d75b84353ab1","observation_id":"87562293-0023-4119-982c-958501ead9c8","resolution":{"observed_at":"2026-08-10T14:16:57.475056Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.905118Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.905118Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:4eee1ae64e389befcc8ebe09c1385ac78d72eeec0d1a396ccee37e0eba821723","observation_id":"51c30501-c5e1-4039-acd2-95f59f07a4b5","resolution":{"observed_at":"2026-08-10T14:16:56.905118Z","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":"2026-08-10T14:16:57.440635Z","title":null,"venue":null,"work_id":"34c21d04-9b19-4ec6-8fbe-dd286e2cbcc6","year":2019},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.913213Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:ef6a7f7169f5892b85ed2f2fe21f91f41394d1a20a48595f54a7aa167413eb0b","observation_id":"76dd6b81-1f93-4739-adb9-b7bfc5e431db","resolution":{"observed_at":"2026-08-10T14:16:57.444750Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.918182Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.918182Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:023359e595b323606b07169ede9a6c336991a3f4926c4fc337903a91e39b25cb","observation_id":"8dcd6dee-086f-47ae-b5a0-689103ca3a3f","resolution":{"observed_at":"2026-08-10T14:16:56.918182Z","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":"2026-08-10T14:16:57.419698Z","title":null,"venue":null,"work_id":"da2958aa-8f0c-436b-aad6-199a20bdeb1c","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.923615Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:099e325f1dd3f7a4e1a06ae487f1cb9ea3888eca10707c479a415d052421a00f","observation_id":"72546dad-cd92-49bf-97aa-5c0405a775c1","resolution":{"observed_at":"2026-08-10T14:16:57.423693Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.407040Z","title":null,"venue":null,"work_id":"ee5ba5b1-c8bf-4dfa-bc18-9472bb4c6682","year":2022},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.928159Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:c78b3c0776aeb9ec37b988bfce7cd252f6cce2b78042749c29c18464e3836911","observation_id":"4d1cd5ac-73f3-4731-b824-20ac7b6b31f9","resolution":{"observed_at":"2026-08-10T14:16:57.411202Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.932505Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.932505Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:d5b6f4dcbd67c4e4e032048b9edeaab757b0258ccf16a28d453a964122d33b58","observation_id":"f754de36-483b-4599-8382-21ac5160c624","resolution":{"observed_at":"2026-08-10T14:16:56.932505Z","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":"2026-08-10T14:16:57.386302Z","title":null,"venue":null,"work_id":"cb645225-80a4-497c-93d3-931edff6b95d","year":2020},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.936781Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:65a0106559f464fff9cf6ddd90ecb49bf23b5a2757980248242235ab17f8326c","observation_id":"958ddabd-3721-4b94-b473-d6a962417d25","resolution":{"observed_at":"2026-08-10T14:16:57.390409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.373638Z","title":null,"venue":null,"work_id":"33bf2f7d-e610-4e56-8764-77e81fd61478","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.940848Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:a086c66ec732b325063dc93b5fdd99e8b823bc132393a2857f38b17aacbe17d7","observation_id":"40fe7c4a-0a03-4ada-9976-31e68c229ee3","resolution":{"observed_at":"2026-08-10T14:16:57.377843Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.360994Z","title":null,"venue":null,"work_id":"c535517e-ed39-4fcb-aaf5-051dad598691","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.944998Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:2f4b9b7f4e379e29033b4f9dd17ed050a6c809cdab9c2b95c030826328465307","observation_id":"5732c47e-f63d-465f-91a1-f31bbbd2966b","resolution":{"observed_at":"2026-08-10T14:16:57.365031Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.348111Z","title":null,"venue":null,"work_id":"a8edf01b-e6ca-4477-8627-5e0e9319b0e2","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.948963Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:85037c87663a12095fd1c212ef6beaede9d7da14aa0a304eb35cd6331e844886","observation_id":"1557499b-92c6-4a95-83b3-34f29b0db29e","resolution":{"observed_at":"2026-08-10T14:16:57.352334Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.03326","last_updated":"2024-04-04T09:52:45Z","snapshot_observed_at":"2026-08-16T14:03:41.817072Z","submitted_at":"2024-04-04T09:52:45Z","title":"A Directional Diffusion Graph Transformer for Recommendation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.03326","snapshot_observed_at":"2026-08-10T14:16:56.952862Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.952862Z"},"links":{"cited_paper":"/paper/2404.03326","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:cf9a837d680ce59fa899a4106ecf6ed2508f718ad017b2e647f5f9845af6bf03","observation_id":"41c4960e-111f-4637-ada5-e0d6eacba133","resolution":{"observed_at":"2026-08-10T14:16:56.952862Z","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":"2026-08-10T14:16:56.957339Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.957339Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:7b73722fa3d803d0ed32caeec6261161950214ee67f77a1c6db98297b99e313b","observation_id":"835c570b-3cde-4bf8-ba12-0749d007eb3e","resolution":{"observed_at":"2026-08-10T14:16:56.957339Z","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":"2026-08-10T14:16:57.325872Z","title":null,"venue":null,"work_id":"4dc7ccdb-f625-49a0-a9ca-b49437b8fd41","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.961225Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:220c3a40c31c9ea07d8077b3f8bd57ebfd6ef825302887e820676cb469172830","observation_id":"accab784-e1b1-4100-9ae8-7a6fcb37b165","resolution":{"observed_at":"2026-08-10T14:16:57.330540Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.313223Z","title":null,"venue":null,"work_id":"fe60d922-0fbe-41c5-9073-fdfc785865cd","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.964979Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:4f8da8287d854158a08f84efea0c9f5a7dd4ba464e3155d08a1af0266f27a9d1","observation_id":"ae35dbc6-00e7-45d5-972a-f606c1be2864","resolution":{"observed_at":"2026-08-10T14:16:57.317326Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.300224Z","title":null,"venue":null,"work_id":"19055abb-280e-41cc-8815-bc1a627369f3","year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.968985Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:2cae555e276d8fdb65e706f01a88599b487310668ccf4e32a0e57685dca6ff7a","observation_id":"1b9b13a1-a615-4af1-a11a-e6eabd522325","resolution":{"observed_at":"2026-08-10T14:16:57.304343Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.274099Z","title":null,"venue":null,"work_id":"807a2090-d8dc-45a2-af75-0676ffb01273","year":2019},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.976959Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:f21856d7ad8a3a956be2344acc796e229a702d5e7fe82f8d61ee19eaae4a9637","observation_id":"7196722e-2cbd-4785-b40b-1c4ee9d583e9","resolution":{"observed_at":"2026-08-10T14:16:57.278224Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00490","last_updated":"2025-04-02T13:16:51Z","snapshot_observed_at":"2026-08-16T13:29:15.418229Z","submitted_at":"2024-08-01T11:51:52Z","title":"Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation","version":4},"cited_work":{"arxiv_id":"2408.00490","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.00490","snapshot_observed_at":"2026-08-10T14:16:57.056644Z","title":"Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation","venue":"cs.LG","work_id":"f732fa57-6b40-4728-a296-3e742c6a8e62","year":2024},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.980861Z"},"links":{"cited_paper":"/paper/2408.00490","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:56c0f20cc386be09086efb67e9a49e43882a287b33af4f2570a4dc2687d9bd4d","observation_id":"7c21bc8f-5630-446e-8661-7cb860307dfc","resolution":{"observed_at":"2026-08-10T14:16:57.064281Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.259583Z","title":null,"venue":null,"work_id":"dcef7ff5-181b-45d9-887b-fd8c924de700","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.986116Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:8646d26c2bb8f5ca8bd8dad3a565feb666e2ccb17d71714e2c5f822f2c0d4ede","observation_id":"65ec6159-2c81-4154-8a9e-0b8bb4a2d2b2","resolution":{"observed_at":"2026-08-10T14:16:57.263587Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.245714Z","title":null,"venue":null,"work_id":"4054a7b1-2655-4218-8d6e-649347488105","year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.990189Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:27917b120165fc50c7ff4dc9f28eddd0f37ace46934554b3ed79e47ce4eea7a4","observation_id":"fe835fcc-683c-4955-ab0e-c7a5624b96dc","resolution":{"observed_at":"2026-08-10T14:16:57.250775Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.217809Z","title":null,"venue":null,"work_id":"0edf1a75-814f-4676-8e00-90e9b42010d9","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.998000Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:17726725fe54b2606ae641aa29b6f6964f84d6ebf457f287d52d5ffa31e58ffd","observation_id":"16a5152c-2724-42e8-93e5-c1ae1fcb21ef","resolution":{"observed_at":"2026-08-10T14:16:57.223003Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.287572Z","title":null,"venue":null,"work_id":"4fc48b59-da73-40ab-936a-57074429cf52","year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.972920Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:209b2a8168875b1c7bf22b3191dabd031e59919233e5fd91319e0b92c3ebaaba","observation_id":"102eb708-bf27-4be5-969c-55ddb1cded71","resolution":{"observed_at":"2026-08-10T14:16:57.291811Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.204563Z","title":null,"venue":null,"work_id":"9f786656-1c73-4500-9b51-f94fcdd51c71","year":2023},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:57.006893Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:ef0cfc4af7953a260c4b8190308de0fefb2566c282f64f4f0b3dd34998b29d68","observation_id":"c3e6d382-6f73-4fc4-842b-c7a0472b845a","resolution":{"observed_at":"2026-08-10T14:16:57.208804Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.232267Z","title":"In SIGIR","venue":null,"work_id":"e9ab9d44-5015-4f37-8d90-c6c44209ee34","year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.994061Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:419adbf55d450f81a96615bbc4dde09e915cbb1203f6e324769c9ef9972865ad","observation_id":"27b6e6dd-1433-414b-9396-2d011120518e","resolution":{"observed_at":"2026-08-10T14:16:57.236773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.08730","last_updated":"2019-02-23T03:45:31Z","snapshot_observed_at":"2026-08-14T17:12:25.829086Z","submitted_at":"2019-02-23T03:45:31Z","title":"AliGraph: A Comprehensive Graph Neural Network Platform","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.08730","snapshot_observed_at":"2026-08-10T14:16:57.001916Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:57.001916Z"},"links":{"cited_paper":"/paper/1902.08730","citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:008991d580e0d05641cf3df4a9197a13056f7a721091c485efcd94a6dc0e7e76","observation_id":"aede594b-3283-4e55-ac01-acbb2ce39a9b","resolution":{"observed_at":"2026-08-10T14:16:57.001916Z","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":"2026-08-10T14:16:57.513059Z","title":null,"venue":null,"work_id":"d575d6d7-8caf-402e-935c-e64dd5064ea1","year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":2009,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.877794Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:33bc1ac91ef6e187523447c2488c10115698b32c9ce4ec3eb564b2bcc5e8a85a","observation_id":"0d855f88-51e7-421a-a10a-f13e08fb6e2c","resolution":{"observed_at":"2026-08-10T14:16:57.517936Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:57.572691Z","title":"TKDE 35, 1 (2021), 181–195","venue":null,"work_id":"9d0b17b8-ce75-4126-933a-cdb4b4d9c56e","year":2021},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.847986Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:dcf9077f6083e52e5874cd2bda176d5b071df7efc073975818f1805427a0624f","observation_id":"3d333552-8047-4c6f-8b0e-2e79287cdb24","resolution":{"observed_at":"2026-08-10T14:16:57.576680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-10T14:16:56.896479Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.896479Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:dabc608cb0c46cfbfc9d16676fb88ec2fd31ed9c87574a7d2b165fce1b00d737","observation_id":"43871228-cf33-4882-a862-0fddb7718bd2","resolution":{"observed_at":"2026-08-10T14:16:56.896479Z","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":"2026-08-10T14:16:56.909124Z","title":"In SIGIR","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.909124Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:2f238e571ca377d4d3596435ea087ca2f993da902c9893eac6462b49e8c4deb1","observation_id":"160427f3-35f2-4b4e-862e-f53cca61ce2f","resolution":{"observed_at":"2026-08-10T14:16:56.909124Z","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":"2026-08-10T14:16:57.620457Z","title":"In AAAI, Vol","venue":null,"work_id":"cc0259aa-df17-459e-bd9e-1c4245db5b3a","year":null},"citing_paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-10T14:16:56.826349Z"},"links":{"citing_paper":"/paper/2501.15555"},"observation_digest":"sha256:62644709ecbdd93237cf85e2eafd1db8c564b25fb7d40e75b501b423a0c3b241","observation_id":"8de9b89c-f054-4a25-a2c7-333d73bf6d66","resolution":{"observed_at":"2026-08-10T14:16:57.624527Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.15555","last_updated":"2025-01-26T15:07:52Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T11:30:42.695783Z","submitted_at":"2025-01-26T15:07:52Z","title":"Distributionally Robust Graph Out-of-Distribution Recommendation via Diffusion Model"},"reference_resolution":{"displayed":56,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":48,"verified_exact":5,"verified_fuzzy":3},"total_outbound_references":56},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2501.15555."}