{"as_of":"2026-08-07T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:85c748db2e9952be23f0a1dda2e67990494958879145b26bbe0b447a04bcf5b5","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T11:47:46.355059Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2507.22434/citation-record","integrity":"/paper/2507.22434/integrity","json":"/paper/2507.22434/citation-record.json","paper":"/paper/2507.22434"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T11:47:49.943577Z","title":"Aral and P","venue":null,"work_id":"5834f763-2522-4253-9e30-0b2f29e08142","year":2018},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.362046Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:40610770b7305c19f066a1d447b68a56a2b40c9d51fccc9bc346cbbc420143b5","observation_id":"fef78748-ebc2-4edf-bcc2-7c49280b9834","resolution":{"observed_at":"2026-08-06T11:47:49.947509Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.930737Z","title":"Bartunov, A","venue":null,"work_id":"471c71fa-555e-421a-96e8-7b434485e845","year":2012},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.429312Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:9b92ac3737e647356c3157c5617d3154fded301c614401f331acc70d2a3c5731","observation_id":"38af71a6-de73-4f26-99e4-f38d7a9673fa","resolution":{"observed_at":"2026-08-06T11:47:49.934639Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.05085","last_updated":"2017-05-15T06:49:04Z","snapshot_observed_at":"2026-08-06T10:13:59.991841Z","submitted_at":"2017-05-15T06:49:04Z","title":"Active Learning for Graph Embedding","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.05085","snapshot_observed_at":"2026-08-06T11:47:43.546124Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.546124Z"},"links":{"cited_paper":"/paper/1705.05085","citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:9d640bb27f2bc572b602be23901d3d35fdf5a09446ecd9b166f91ab154b8a57d","observation_id":"5d85bffc-ac35-4e63-8328-b36c7ed6a7e8","resolution":{"observed_at":"2026-08-06T11:47:43.546124Z","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":"2026-08-06T11:47:49.918716Z","title":"Cao and Y","venue":null,"work_id":"cb59d458-c606-4054-854c-02599de097f3","year":2016},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.652065Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:ee47bbbb97451eb991046f06923cfb38252f56f3d6aa41244777ccb93e8f6f23","observation_id":"cb41af6d-7d14-4092-b9c3-4c4f7dfdafd0","resolution":{"observed_at":"2026-08-06T11:47:49.922319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.07318","last_updated":"2019-11-07T08:58:37Z","snapshot_observed_at":"2026-08-07T16:21:38.653430Z","submitted_at":"2019-06-18T00:31:59Z","title":"Deep Active Learning for Anchor User Prediction","version":3},"cited_work":{"arxiv_id":"1906.07318","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.07318","snapshot_observed_at":"2026-08-06T11:47:46.923497Z","title":"Deep Active Learning for Anchor User Prediction","venue":"cs.LG","work_id":"41a49ed0-4088-4c7a-a4bd-9cbc75dcf4f3","year":2019},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.765907Z"},"links":{"cited_paper":"/paper/1906.07318","citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:d7ed27648e191974d76f629ec05407751ba77cfbc7c55c0398ed8482c278e58c","observation_id":"8cbc403c-3556-4f69-8421-d5016f2cae32","resolution":{"observed_at":"2026-08-06T11:47:46.984151Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.906681Z","title":"Clark and J","venue":null,"work_id":"a0c01088-034d-4702-8b2d-14bf586ede27","year":1988},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.837189Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:71a55b2dd11ad816f398fe2d4db3001c13502c7c2feddbbd13951afff6e6a13c","observation_id":"58d5a879-1ad3-4a21-a2d0-4a004979ea23","resolution":{"observed_at":"2026-08-06T11:47:49.910175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.893926Z","title":null,"venue":null,"work_id":"a058643f-4aea-4ee8-9f7a-1556684c61d8","year":2013},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.904005Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:13d6a11c5c0846a5e6cf801c7a8ade19056045c61911d3f1bf87b304a9d27630","observation_id":"c14468a2-1dd1-46bd-8dee-26de6499fc20","resolution":{"observed_at":"2026-08-06T11:47:49.898101Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.881060Z","title":null,"venue":null,"work_id":"c02f0a07-914c-42a5-b0e3-03d675ae7b8b","year":2014},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:43.954984Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:e0e01c70ce2569a898c53c192ca73c6851165ce9ea2d53d8ecfbeae158b912ee","observation_id":"a0329644-b424-4101-a112-4f367a83312d","resolution":{"observed_at":"2026-08-06T11:47:49.884917Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.01462","last_updated":"2025-02-27T11:45:57Z","snapshot_observed_at":"2026-08-07T08:43:00.188262Z","submitted_at":"2024-05-02T16:50:47Z","title":"Uncertainty for Active Learning on Graphs","version":3},"cited_work":{"arxiv_id":"2405.01462","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.01462","snapshot_observed_at":"2026-08-06T11:47:46.769557Z","title":"Uncertainty for Active Learning on Graphs","venue":"cs.LG","work_id":"1f622487-4d37-465c-a6e7-9293aee15536","year":2024},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.090292Z"},"links":{"cited_paper":"/paper/2405.01462","citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:db368aeea7e569a785c4eba7883c12aa42f4c7c1b500a01b11e6301528b6e8c1","observation_id":"8cf60c27-15e1-4e79-b727-0796bb0eacb2","resolution":{"observed_at":"2026-08-06T11:47:46.803420Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.867673Z","title":"Glaria, C","venue":null,"work_id":"922ec8ab-0ed2-4311-9c66-c65425e0c97d","year":2021},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.222145Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:ff0e87ef11cdb55198767ec44c3a345b19b04d5405d17a1acdd9440826633bc3","observation_id":"4db0abd8-662a-4170-bad8-40c4aa9f6b43","resolution":{"observed_at":"2026-08-06T11:47:49.871849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.853384Z","title":"Huang, G","venue":null,"work_id":"fd32bfac-48ee-4cf9-ab9c-dbd579816e0a","year":2024},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.346151Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:33bd490517512d5c9cbf7f954fbf5864f36ce042e2824e8f88c8308b8288ccc7","observation_id":"47fdaac6-a60c-4544-9fec-4b71998d1229","resolution":{"observed_at":"2026-08-06T11:47:49.857772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.840797Z","title":null,"venue":null,"work_id":"a5a1a09a-ba51-4d83-a1fd-5c29ff64085a","year":2021},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.439675Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:5ecdc30bddb30b0d74fad23ab4f18bc9e4a8f449aaa8f37e30b2862152a8aedd","observation_id":"f8fe0e58-a0af-4381-a4d0-1db19a844481","resolution":{"observed_at":"2026-08-06T11:47:49.845170Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.827227Z","title":"Jiang, P","venue":null,"work_id":"dbef4617-8a20-4d80-8d72-b20bbbe3b124","year":2015},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.498546Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:cc8d2f3eb36a412103c85c596abcee705e12e82c493452740254957881b7d2d1","observation_id":"89254a52-4df7-4909-9874-9c746ea8ca12","resolution":{"observed_at":"2026-08-06T11:47:49.831436Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.814983Z","title":null,"venue":null,"work_id":"2c7c9508-0ee8-4437-904c-1fc846e62267","year":2009},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.545088Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:8d269a9c3ce0722ef717ace6590951aba26038175571e11ec4c60264fd38d050","observation_id":"4c189df5-4c08-4911-8097-edcc90c068ab","resolution":{"observed_at":"2026-08-06T11:47:49.819069Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.801991Z","title":null,"venue":null,"work_id":"5dff8947-c6c2-406d-8fcf-ca569c469c6f","year":2019},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.593304Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:50bd565445c80ea7ef08f64579b142d774bc823643108c861bc8415ee655a4f4","observation_id":"4b430715-1a8a-4745-8d7e-8e25b85024a3","resolution":{"observed_at":"2026-08-06T11:47:49.806351Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.789169Z","title":"Konyushkova, R","venue":null,"work_id":"5d34b93a-7931-47a2-b3ce-8387684cac20","year":2017},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.636720Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:f188b16d6fd4451022de07369bb0b947459e571c0ea3ebf87b324537cf7d92a9","observation_id":"8873e9f5-60d3-49ae-a0c6-db72c12bf823","resolution":{"observed_at":"2026-08-06T11:47:49.793326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.775640Z","title":"Koutra, H","venue":null,"work_id":"cd8bffdc-60a6-42b6-8d05-babb3b845843","year":2013},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.670832Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:43d1d8ce9d78490e367bdf9e45484dec04403f002d40042399fb5ba5eff3f5bb","observation_id":"267bab87-d709-4b8a-824d-29458b6a36ce","resolution":{"observed_at":"2026-08-06T11:47:49.779714Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.761142Z","title":null,"venue":null,"work_id":"81b07bef-301a-4473-bb9c-b95c12d37ec2","year":2020},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.722371Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:6b21cc06369eeb6b7ec557dcfcbaaababa2144592c6a77dd2f263a501d924e2d","observation_id":"0d471d25-e360-4cdc-b906-c7c022141d15","resolution":{"observed_at":"2026-08-06T11:47:49.765855Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.748328Z","title":null,"venue":null,"work_id":"9255d485-f292-4cb7-8f06-7af7d055bb11","year":2021},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.782603Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:c3a0b97de2fae7ee387a8727dc4202b38aa5b0062a5052a44a74c923697a3722","observation_id":"f08812fa-1f22-4508-b315-d84e85fa9940","resolution":{"observed_at":"2026-08-06T11:47:49.752413Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.732853Z","title":"Malmi, A","venue":null,"work_id":"2bb6c691-4621-4aca-8857-3f9f5d5d966d","year":2017},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.935812Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:d7f51ced283a552bdf0378efe2723eddd1980e746cce9161099906f996b2e479","observation_id":"959ed704-62b0-482b-a226-d278494f220a","resolution":{"observed_at":"2026-08-06T11:47:49.738285Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.719532Z","title":null,"venue":null,"work_id":"10abe367-5b79-4b4b-8110-439af71302bf","year":2016},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:44.976160Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:8d89e2b7764290b9a50d8577af9e506d91b24130208f219aea4b383679237e47","observation_id":"bd0a46a1-c7e2-4a55-abd7-1bdac85e11f4","resolution":{"observed_at":"2026-08-06T11:47:49.723676Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.706294Z","title":"Maskey and Y .-R","venue":null,"work_id":"71487bbd-4333-4c16-ad91-b4ee8b7ff164","year":2019},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.054683Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:6d5162699133826dc519a7b9aa21f51fa2d79733a6bc006d76b228f0a596952b","observation_id":"7e0a098b-7271-411c-a09c-7b740c7be2f3","resolution":{"observed_at":"2026-08-06T11:47:49.710332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.691412Z","title":null,"venue":null,"work_id":"4ae52254-f809-4e6a-a411-919347c2a04e","year":1978},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.097689Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:e4655ef0d7c6d4b8add936e227b108f4fe7c1100c3dc6b7e343faf507d586f49","observation_id":"4dc550ce-de65-4a93-b067-59967c0e1a76","resolution":{"observed_at":"2026-08-06T11:47:49.696522Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.678303Z","title":null,"venue":null,"work_id":"75538c67-94e5-4f4b-843a-516bd6dd0acc","year":2019},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.131230Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:42e931a8073c3c99e756fdc2ade4d1b11ca1aa7e717a9c1cb8dfd8c3ea93b378","observation_id":"3bb433e5-ab80-4bcf-8748-8ec49e5c389b","resolution":{"observed_at":"2026-08-06T11:47:49.682187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.664391Z","title":"Rossi and N","venue":null,"work_id":"99931b7a-78c7-4fb0-aa9f-9beb61b4b7a2","year":2015},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.172012Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:9316d8bd83c54b31941544d93c68b615070de2f65b265504afc287a2a1de9b61","observation_id":"f68b4ab0-5154-4c52-9380-f46b573983df","resolution":{"observed_at":"2026-08-06T11:47:49.668976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.650265Z","title":"Saxena and J","venue":null,"work_id":"dd319b56-19b9-4ad1-bcfe-37f9e5a292e2","year":2024},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.256891Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:1ccf919f7006adab912b4527b4e3a81de0ba5a04b42cad55d090060724f91e0f","observation_id":"195cb5d8-9ccd-4d10-acbf-9a86482319ff","resolution":{"observed_at":"2026-08-06T11:47:49.654195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.600951Z","title":"Senette, M","venue":null,"work_id":"7c95e473-6558-4c0f-9318-4af28882cd50","year":2024},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.317935Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:bf1620b68975ee57d8c697c10eecdeada156382e9d708a483ff51e18312c11aa","observation_id":"4162f642-03c4-4ae4-9129-424d22868966","resolution":{"observed_at":"2026-08-06T11:47:49.640222Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.413920Z","title":"Singh, J","venue":null,"work_id":"1f117b4a-52f0-44ed-bc99-911df5dd1fbf","year":2007},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.367147Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:82132ec6f18a1a03a7789a81e6571fe073ece61b7c3ecb3da3b275aa483a59cf","observation_id":"ea2a30ac-be2d-4c06-be4e-1cc09f60404e","resolution":{"observed_at":"2026-08-06T11:47:49.457231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.151325Z","title":"Singh, J","venue":null,"work_id":"4e962806-87dc-4642-97dd-9e8c98111a59","year":2008},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.426972Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:a85fc1b680de5309e06623d82955eeadf5d34232d77c4ac967faa67bfdb3189b","observation_id":"48f9249d-d7d0-4bce-89eb-53cc0bfaa5a1","resolution":{"observed_at":"2026-08-06T11:47:49.280191Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:49.014625Z","title":null,"venue":null,"work_id":"9f21c269-494a-4ebf-94dd-3402c068a61a","year":2014},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.479312Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:81b8194aa7890459b530358609be12281a272eddb303e64d4f20e4f9b4ae7f0d","observation_id":"23608c7a-de5e-432b-8662-5ec599d00c54","resolution":{"observed_at":"2026-08-06T11:47:49.092367Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:48.802871Z","title":null,"venue":null,"work_id":"358bd1b7-459b-4333-a285-67e8b1edc18e","year":2020},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.556601Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:b59e60292c35ae85016f89a805028840fa8e34b3ad8913fcc50a45f52cf9b59a","observation_id":"2c2b894c-9002-4756-9d3f-e23e15642db4","resolution":{"observed_at":"2026-08-06T11:47:48.906516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:48.635840Z","title":null,"venue":null,"work_id":"bcebb41d-22ac-4f5f-84d1-550ddf791928","year":2020},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.614844Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:66f8aab2c0e6d9d155e186da11ba85be6241a4995c749692a57da6cab0255608","observation_id":"3a31ac2c-6ffc-45ec-be0c-f25f2da53102","resolution":{"observed_at":"2026-08-06T11:47:48.709990Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:48.441965Z","title":"Van Vlasselaer, C","venue":null,"work_id":"72b0adff-1193-4ed5-ab16-dc8360e2e51d","year":2015},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.645528Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:d9611687574b0d654d257befab609a2c6e392982b5f242a67fa8e57be4dffb38","observation_id":"d29c621a-854c-4241-9702-8b8bda078d33","resolution":{"observed_at":"2026-08-06T11:47:48.520920Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2002.06755","last_updated":"2020-02-17T03:23:13Z","snapshot_observed_at":"2026-08-07T19:52:25.867754Z","submitted_at":"2020-02-17T03:23:13Z","title":"Unifying Graph Convolutional Neural Networks and Label Propagation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.06755","snapshot_observed_at":"2026-08-06T11:47:45.708836Z","title":"Wang and J","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.708836Z"},"links":{"cited_paper":"/paper/2002.06755","citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:9cd94814dca7f61b80c9af38b0f7ed0409b35941b917f55c517d5e6f068c4452","observation_id":"0412a537-b23e-4613-b85e-90b5b84d6948","resolution":{"observed_at":"2026-08-06T11:47:45.708836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07941","last_updated":"2024-11-07T03:54:22Z","snapshot_observed_at":"2026-07-06T19:00:57.743738Z","submitted_at":"2024-08-15T05:31:26Z","title":"Robust Offline Active Learning on Graphs","version":2},"cited_work":{"arxiv_id":"2408.07941","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.07941","snapshot_observed_at":"2026-08-06T11:47:46.582515Z","title":"Robust Offline Active Learning on Graphs","venue":"stat.ML","work_id":"16835f6c-678c-4097-9bb3-7fb656aada0d","year":2024},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.784831Z"},"links":{"cited_paper":"/paper/2408.07941","citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:159d4a8947b68524512da6a24ab361ee1a0064dccf12b71004422348b478343b","observation_id":"eff67a0a-bd04-4dcf-b79a-f7e664c0c427","resolution":{"observed_at":"2026-08-06T11:47:46.663329Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:48.254434Z","title":null,"venue":null,"work_id":"70b5e622-3d5d-4cf8-b113-935ac11018e7","year":2019},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.846435Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:7ab10af08bb1af2f494edcc38fbe5cf10a6f545f72e35aaf88807c38fb351110","observation_id":"c4e5104a-9389-4081-81ec-7a5074bc4eab","resolution":{"observed_at":"2026-08-06T11:47:48.313034Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:48.075204Z","title":"Zafarani and H","venue":null,"work_id":"061d4eb3-d10d-4e4e-b7b8-1b4252ee0364","year":2009},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.934261Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:50728762d339d9b68db8a6003aeee88dd8bb20c9cd75be5db474ac4bf375975f","observation_id":"48415d56-19fd-4ae8-b90f-9010a6f2a4ce","resolution":{"observed_at":"2026-08-06T11:47:48.151175Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:47.850577Z","title":null,"venue":null,"work_id":"bfe0a0c9-45c1-41de-9f82-847cc118621b","year":2023},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:45.962237Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:96beceab066e94192a814eb25b1e156b22475f714f4a0a36db5e13f337daa11a","observation_id":"a4c623c9-9858-49b8-a414-7c1174abcfa6","resolution":{"observed_at":"2026-08-06T11:47:47.957036Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:47.665721Z","title":"Zhang and Y","venue":null,"work_id":"08c447d9-40ff-4f45-b315-0c25ca233cf8","year":2021},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:46.046713Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:f6dd18d9b5fca5405a6b78c56d860b7e550e172c985b515edb5dc90040403552","observation_id":"84172a1f-d1f4-43fa-90da-26f2e54c10f4","resolution":{"observed_at":"2026-08-06T11:47:47.744408Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:46.081067Z","title":"Zhang and H","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:46.081067Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:60cafdd1d58bf0eb619ae08c4ade5bf888737749328288be532642fe795a8b50","observation_id":"4225b46e-5f1c-44a9-af15-994ce7c71681","resolution":{"observed_at":"2026-08-06T11:47:46.081067Z","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":"2026-08-06T11:47:47.531066Z","title":"Zhang, Y","venue":null,"work_id":"72abdddb-cb99-41d1-8fd7-8aeb0ee4caa2","year":2021},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:46.103955Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:b9b831fb622e4cb3c0e4ab37f5efb192e76a1d89c1e31b32bdb51564b362c441","observation_id":"7121b093-008c-4f60-a5a8-6a8bc6666d0c","resolution":{"observed_at":"2026-08-06T11:47:47.584218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2203.01093","last_updated":"2022-03-02T13:28:25Z","snapshot_observed_at":"2026-07-06T12:43:17.428867Z","submitted_at":"2022-03-02T13:28:25Z","title":"Information Gain Propagation: a new way to Graph Active Learning with Soft Labels","version":1},"cited_work":{"arxiv_id":"2203.01093","doi":null,"metadata_source":"pith","pith_arxiv_id":"2203.01093","snapshot_observed_at":"2026-08-06T11:47:46.449314Z","title":"Information Gain Propagation: a new way to Graph Active Learning with Soft Labels","venue":"cs.LG","work_id":"978d915d-3e8b-4ea1-96e1-112796e0f85d","year":2022},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:46.174354Z"},"links":{"cited_paper":"/paper/2203.01093","citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:72370d61b39d7c16e3b3cc6a17dcbc3e9ff549726b4589577622f256a7f9128d","observation_id":"76e8182e-94cb-454b-9b14-fadef718c547","resolution":{"observed_at":"2026-08-06T11:47:46.499757Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:47.383025Z","title":"Zhang, K","venue":null,"work_id":"b76419f9-fbb8-4e13-ad53-f39d48bf6c60","year":null},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:46.229671Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:819eb59d95313989316aad042c8b03adc169fa0e5143529b303b38b19bee95c0","observation_id":"c7c0eba3-5d46-4724-aba7-85ff98c85ba4","resolution":{"observed_at":"2026-08-06T11:47:47.427219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:47.258341Z","title":null,"venue":null,"work_id":"734dca64-4d18-45f4-a5e7-7d5db223b74c","year":2023},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:46.287719Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:b7126511332c7deb03e19c5f1e51e718db88cf7087ebe71dedd7ad0c8b0f2aa2","observation_id":"4e0c3fd0-f526-4d09-949a-4b4b4e28727c","resolution":{"observed_at":"2026-08-06T11:47:47.290410Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+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":"2026-08-06T11:47:47.088351Z","title":null,"venue":null,"work_id":"e388f47f-5f93-441b-ab6a-7f0a6e60e638","year":2021},"citing_paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T11:47:46.355059Z"},"links":{"citing_paper":"/paper/2507.22434"},"observation_digest":"sha256:d801217245930e5045a5fe86aee548766f9c3ed6486c06c16056060438733d8d","observation_id":"d6c61524-8451-439a-8561-dd73a04ce814","resolution":{"observed_at":"2026-08-06T11:47:47.180839Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.22434","last_updated":"2025-08-08T02:30:10Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:21:02.836856Z","submitted_at":"2025-07-30T07:26:40Z","title":"RANA: Robust Active Learning for Noisy Network Alignment"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":4,"verified_fuzzy":21},"total_outbound_references":45},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2507.22434."}