{"as_of":"2026-08-22T19:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3456bcefea78819fbdd7aefc7ead4e83cce78da166f4d3d5122fae3a5bcb7b5e","coverage":[{"denominator":47,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":47,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T04:53:34.386766Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2606.05621/citation-record","integrity":"/paper/2606.05621/integrity","json":"/paper/2606.05621/citation-record.json","paper":"/paper/2606.05621"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T04:53:31.245757Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.245757Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:5ea5c013307acad8921178ed00a2d3607040d452bb6f68c4c7802cf5f34eee14","observation_id":"669c7f3e-bd85-430e-96f7-8d8079ef68bf","resolution":{"observed_at":"2026-08-04T04:53:31.245757Z","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":"2026-08-04T04:53:31.311282Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.311282Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:3ace035b06c615eae76c193f3ed8ac902ed1090e49242bf624812b22028a0d21","observation_id":"16c1b122-f1e8-4645-a6e6-848ac952f411","resolution":{"observed_at":"2026-08-04T04:53:31.311282Z","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":"2026-08-04T04:53:31.379071Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.379071Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:36472c76e32afd1cd0287c5cc16a2dae7978399a2c34e7d8e0806a46b661865f","observation_id":"5540e5ec-87b9-4d76-9d66-e66e4284f29d","resolution":{"observed_at":"2026-08-04T04:53:31.379071Z","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":"2026-08-04T04:53:31.417406Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.417406Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:e9ca8aaf20afe5ead1b3649864c0681dde43839e680b3ffb9e181325d530ba53","observation_id":"766a8962-bf24-437d-b76e-6f30490a2644","resolution":{"observed_at":"2026-08-04T04:53:31.417406Z","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":"2026-08-04T04:53:31.529797Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.529797Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:bb731b79bf14377ced902355b36d66250edb407dee50c83ee6b04bd9ad9fce11","observation_id":"0efe0fca-1b9c-4764-a836-09f7e8237928","resolution":{"observed_at":"2026-08-04T04:53:31.529797Z","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":"2026-08-04T04:53:31.647362Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.647362Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:f4a77f59fb46d9eaba28893c4ab17b9ac40e0e070a7a71a7ab3e110bbbb637a0","observation_id":"3bc69cdf-ebc0-478e-a960-7971859bde68","resolution":{"observed_at":"2026-08-04T04:53:31.647362Z","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":"2026-08-04T04:53:31.750329Z","title":null,"venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.750329Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:60b1d690fdc3c841ce10bea98ad53a7b50c7821ecd675b5fea665d65de72d0d8","observation_id":"c9726674-a5d4-447a-9e7e-cbe8cdc4c695","resolution":{"observed_at":"2026-08-04T04:53:31.750329Z","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":"2026-08-04T04:53:31.807060Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.807060Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:210512cd7f158ec9691018717886af03d64f243f10c806e42023bdf8c132ee86","observation_id":"4aefb545-3f52-44b1-9ff6-0fbf2094d6f6","resolution":{"observed_at":"2026-08-04T04:53:31.807060Z","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":"2026-08-04T04:53:31.869634Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.869634Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:acbbe908d97b0ef3bbf4ec73e850243ee28cc1cabd95eb73ba341962643d5fcd","observation_id":"417ff33e-670a-48b8-8aef-8351ea2250b8","resolution":{"observed_at":"2026-08-04T04:53:31.869634Z","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":"2026-08-04T04:53:31.930376Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.930376Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:0a55ec4ccb20b90608601ef12c48d5bc82aa8596403a6323a8e587ec1892d5d8","observation_id":"be5d5184-1bcf-4f32-a024-1ce46584b1f9","resolution":{"observed_at":"2026-08-04T04:53:31.930376Z","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":"2026-08-04T04:53:31.975142Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.975142Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:11381982e65376c16b8bec253dafd626519893e3d07d0a91ed1f6e193faeac87","observation_id":"d95ea0b8-be48-46c1-9205-f31db525bda2","resolution":{"observed_at":"2026-08-04T04:53:31.975142Z","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":"2026-08-04T04:53:32.032199Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.032199Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:67516580d66412d8a772184a0d2ba75a8d5606ec2b11c151c2c7d405e2762495","observation_id":"b1b520a1-9547-482f-9523-fcbf2eb56529","resolution":{"observed_at":"2026-08-04T04:53:32.032199Z","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":"2026-08-04T04:53:32.096465Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.096465Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:95438f557b51fee2723b91a1251688fd98158f67e4558bde5fc926410bb61b37","observation_id":"ea294a28-b887-459a-97fb-6c88486fc6b7","resolution":{"observed_at":"2026-08-04T04:53:32.096465Z","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":"2026-08-04T04:53:32.155728Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.155728Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:32dbb924b25e35cd5481b9b59206a4716b3aa723af933ae9bd3a563ec101bbf4","observation_id":"3f79a971-02da-44ca-bfc3-e6da66610923","resolution":{"observed_at":"2026-08-04T04:53:32.155728Z","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":"2026-08-04T04:53:32.215600Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.215600Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:d9c6f84332d7aeee53b7ac0ea5f094aec15478892688be56a211b2b431881182","observation_id":"3c4be144-d6ce-48ef-a6f6-99c65605db21","resolution":{"observed_at":"2026-08-04T04:53:32.215600Z","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":"2026-08-04T04:53:32.370548Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.370548Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:ff47c3665f23172c11ca1b5f34c545c6074bd4d7a744c88e41007cf4871c49fb","observation_id":"66f3c97b-827a-4f8f-a156-d79b1b4575f8","resolution":{"observed_at":"2026-08-04T04:53:32.370548Z","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":"2026-08-04T04:53:32.448177Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.448177Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:50ca6641cfba30caccb5047a09d88b1b7e3fc589ae4a483f3ebbe96f9e1e7816","observation_id":"5560b4e7-ad3f-401c-8e58-479dfc836a64","resolution":{"observed_at":"2026-08-04T04:53:32.448177Z","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":"2026-08-04T04:53:32.606848Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.606848Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:5f0bfa620187df199f92c995844d620cbf6f04834d2bbcf8747ba9cdf80ae019","observation_id":"17d59634-17ce-421e-a130-7493cfb7ca58","resolution":{"observed_at":"2026-08-04T04:53:32.606848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.06135","last_updated":"2023-09-27T23:17:28Z","snapshot_observed_at":"2026-08-18T06:57:48.777172Z","submitted_at":"2023-07-12T12:37:55Z","title":"SayPlan: Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.06135","snapshot_observed_at":"2026-08-04T04:53:32.653060Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.653060Z"},"links":{"cited_paper":"/paper/2307.06135","citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:59f498c94465c9a58a5fc57234553c6007d0d8e9dc20017f424303b408436d9c","observation_id":"8310fa09-88b6-440e-990c-70e7f4f4ff58","resolution":{"observed_at":"2026-08-04T04:53:32.653060Z","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":"2026-08-04T04:53:32.713387Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.713387Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:a3678c14a9dc3b9caf1900cf65ebcec6ca4e144321f829b9d7ae155c603cfcd3","observation_id":"cec60f14-11fe-4ece-8aec-345a0d81b8f9","resolution":{"observed_at":"2026-08-04T04:53:32.713387Z","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":"2026-08-04T04:53:32.775969Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.775969Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:14e5a07a752a8f2cd84447c1038fa5107d592f781d3b24f12e98cce4d9488f06","observation_id":"3f3d8604-5a09-4b64-9c6e-d9b73d7afbaa","resolution":{"observed_at":"2026-08-04T04:53:32.775969Z","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":"2026-08-04T04:53:32.946970Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.946970Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:1e018635b20ad279705f0c9e07636d9430b2a1712bcb321cce068cf07b48b027","observation_id":"473a8156-e3db-4c7e-8cf9-b83a02a0a762","resolution":{"observed_at":"2026-08-04T04:53:32.946970Z","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":"2026-08-04T04:53:33.040454Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.040454Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:eeb9cd34255ea4e25837d3cb7003d0d33ac699c3106710576838c573ad86e2d5","observation_id":"12724832-ca99-4434-ad59-ae4b07d0317d","resolution":{"observed_at":"2026-08-04T04:53:33.040454Z","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":"2026-08-04T04:53:33.146564Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.146564Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:adba56551a5fe6338d9ff0b3cd7bf995bca0d27b8da77b0fd51ca88df0506c44","observation_id":"2d8564c3-8873-4274-998f-c26f80980ef7","resolution":{"observed_at":"2026-08-04T04:53:33.146564Z","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":"2026-08-04T04:53:33.315145Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.315145Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:6d9d8ced20a66811703dfdb630f23917089abba668413bf343a584ee2c4c3281","observation_id":"35011a85-68ea-4763-853e-40e099928a4d","resolution":{"observed_at":"2026-08-04T04:53:33.315145Z","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":"2026-08-04T04:53:33.377764Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.377764Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:dfd72d11594cc5503d0286debeebe4d1b4afe450b67b7f2ebf5b7efce5c6216e","observation_id":"7e96bb0e-403c-43d5-9aa7-33cbfdd9d12d","resolution":{"observed_at":"2026-08-04T04:53:33.377764Z","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":"2026-08-04T04:53:33.429805Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.429805Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:fe7df281c2304fe03ae151709f0a24cdfb4421f3e7ced28d7ac4c162a01e3069","observation_id":"6bae2785-a0fe-4ff1-b178-d3f05837df0d","resolution":{"observed_at":"2026-08-04T04:53:33.429805Z","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":"2026-08-04T04:53:33.504717Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.504717Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:81f37c0609fbb5827fee4182c737f39e643eb2ebf96fa60e5d4fa18c9b261f82","observation_id":"9462600a-9318-4ad1-9161-497c6ff7d390","resolution":{"observed_at":"2026-08-04T04:53:33.504717Z","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":"2026-08-04T04:53:33.565005Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.565005Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:e75b69ab25e2b957a9c48590ae09f2b7976d4021531bfed3b252e6df6b14a72a","observation_id":"a55e9921-d5fb-4504-a702-841af98c377a","resolution":{"observed_at":"2026-08-04T04:53:33.565005Z","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":"2026-08-04T04:53:33.655163Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.655163Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:7ed8e8c1868dde52ac629ebdb2c69e42df5e1736fc39d62c50bc96be34151660","observation_id":"b2f3c5c5-aad3-45c8-bfba-a0ff32705851","resolution":{"observed_at":"2026-08-04T04:53:33.655163Z","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":"2026-08-04T04:53:33.707080Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.707080Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:35c2cdaf8c9bcddf23ea00cd9576430d3a942e3513f33bb109512316c0440e51","observation_id":"8d21cf5e-acc9-4990-9058-b006d788c13d","resolution":{"observed_at":"2026-08-04T04:53:33.707080Z","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":"2026-08-04T04:53:33.771702Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.771702Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:89b6000419f7b3309a9ba503c439431d89f24509b93032b492876a9e2e3ad153","observation_id":"6bb62d73-2e32-4c98-8e6d-bb71818cb499","resolution":{"observed_at":"2026-08-04T04:53:33.771702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23374","last_updated":"2025-03-30T09:19:03Z","snapshot_observed_at":"2026-08-19T03:57:51.547312Z","submitted_at":"2025-03-30T09:19:03Z","title":"RuleAgent: Discovering Rules for Recommendation Denoising with Autonomous Language Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23374","snapshot_observed_at":"2026-08-04T04:53:33.889026Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.889026Z"},"links":{"cited_paper":"/paper/2503.23374","citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:066e792f023cfe18406f044f38c50c6587140329586131cd39c6614c8b7e2a73","observation_id":"d03a2c6c-918d-4342-86c1-409d7cb2ab8e","resolution":{"observed_at":"2026-08-04T04:53:33.889026Z","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":"2026-08-04T04:53:34.017549Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.017549Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:307e085392a03205b9e9ba531f3f3c3d25a46f71d49dcf3e3f57179eec9b6004","observation_id":"88c86ddf-1f61-42f8-b7e8-6f536d25d4ea","resolution":{"observed_at":"2026-08-04T04:53:34.017549Z","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":"2026-08-04T04:53:34.080208Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.080208Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:89d6e9e648caf082ab90a5270cf72e577d40a3abde8dcb61de7d594de63418b2","observation_id":"5b5d9a7e-cf64-411a-a205-74b198554dcb","resolution":{"observed_at":"2026-08-04T04:53:34.080208Z","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":"2026-08-04T04:53:34.120710Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.120710Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:fb6211e52c55b31321ceadfdcbf24a42051519123a0b4f0d58e38f3cbd5ed4ab","observation_id":"3cbc9d77-2a91-4f65-93b7-e49c21d4b248","resolution":{"observed_at":"2026-08-04T04:53:34.120710Z","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":"2026-08-04T04:53:34.173938Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.173938Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:c17e53b7796ab42863d9d1094c962445ee96658b29eed4481cbdc3095295959a","observation_id":"dbbe0d0a-f82d-4f70-ba03-a74a109f781b","resolution":{"observed_at":"2026-08-04T04:53:34.173938Z","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":"2026-08-04T04:53:34.202060Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.202060Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:f2d9cc987808e53589f583bcfc7ff56e5cb08398d961cf59bba14f1015cc16b3","observation_id":"07d14ec9-8a0d-481c-b21e-00316e979f4f","resolution":{"observed_at":"2026-08-04T04:53:34.202060Z","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":"2026-08-04T04:53:34.342794Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.342794Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:082560a430cd0d8f9ea2bf4b111c7e75bee0fdfd4c3f95e900bdca5d4e4756e5","observation_id":"68722331-5be0-49fb-8fdd-0bf502bdf703","resolution":{"observed_at":"2026-08-04T04:53:34.342794Z","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":"2026-08-04T04:53:34.386766Z","title":"near-miss","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.386766Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:e0db362086bac38f99c29ddb53552651407ed08b874b2ccba432a125a1ba81d0","observation_id":"4072ce07-92af-4060-ad19-992d4bc430e6","resolution":{"observed_at":"2026-08-04T04:53:34.386766Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1205.2618","last_updated":"2012-05-09T18:25:09Z","snapshot_observed_at":"2026-08-15T03:23:25.220336Z","submitted_at":"2012-05-09T18:25:09Z","title":"BPR: Bayesian Personalized Ranking from Implicit Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1205.2618","snapshot_observed_at":"2026-08-04T04:53:32.890505Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.890505Z"},"links":{"cited_paper":"/paper/1205.2618","citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:76eecd4e1d47f46cf0448694f5e3fe01e0744a5274bfd23f6dcbaab78cb947dc","observation_id":"729c4f3c-355f-46ef-b47d-17857436972b","resolution":{"observed_at":"2026-08-04T04:53:32.890505Z","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":"2026-08-04T04:53:32.535612Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:32.535612Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:68cc75f45fe8218732bbb8f6eb9c7a6a2b6c797ed44f9b5940463dedcf5679df","observation_id":"ec1bc5ee-6548-4641-8aa6-5d9f743ab0e8","resolution":{"observed_at":"2026-08-04T04:53:32.535612Z","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":"2026-08-04T04:53:31.694115Z","title":"InProceedings of the AAAI Conference on artificial intelligence, Vol","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.694115Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:b55a8b7a505c805731713e8a418ef88fc83ff7da0362a5dcf5eef3b03059f036","observation_id":"3a201b73-a195-428f-a1bf-da92aec83739","resolution":{"observed_at":"2026-08-04T04:53:31.694115Z","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":"2026-08-04T04:53:31.587198Z","title":"IEEE transactions on knowledge and data engineering33, 2 (2019), 667–681","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:31.587198Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:c663eff2d2acadc306c6a58c617757bffbd03cd82560aa0ed8ba6e3f0f154157","observation_id":"4f1677c3-3cd1-4021-9a71-1895779acf19","resolution":{"observed_at":"2026-08-04T04:53:31.587198Z","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":"2026-08-04T04:53:33.596210Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.596210Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:e78e6dfdb7c906b00a74a72aacccb8674212e321266fe4d4acea7846b841d3b3","observation_id":"9686b6a9-30b2-4d0d-a6ab-7f008223a84c","resolution":{"observed_at":"2026-08-04T04:53:33.596210Z","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":"2026-08-04T04:53:33.821760Z","title":"InProceedings of the 29th ACM SIGKDD conference on knowledge discovery and data mining","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:33.821760Z"},"links":{"citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:3a94caa19f0f13c56daa17c52a438a17a8d3ab33b9bbaec3ce98e2da66ef5568","observation_id":"906f3c1f-868b-48f5-b790-ddfc90707ca2","resolution":{"observed_at":"2026-08-04T04:53:33.821760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05659","last_updated":"2025-04-11T16:51:59Z","snapshot_observed_at":"2026-08-21T11:59:11.587343Z","submitted_at":"2025-03-07T18:20:30Z","title":"A Survey of Large Language Model Empowered Agents for Recommendation and Search: Towards Next-Generation Information Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05659","snapshot_observed_at":"2026-08-04T04:53:34.236872Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-04T04:53:34.236872Z"},"links":{"cited_paper":"/paper/2503.05659","citing_paper":"/paper/2606.05621"},"observation_digest":"sha256:97c0738f7ab41de4128fb10d8b6067a5cbf3ed23eec65626317573a986ab6e3d","observation_id":"a20517a9-80e9-49ea-9b39-fc29f9cba4ed","resolution":{"observed_at":"2026-08-04T04:53:34.236872Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2606.05621","last_updated":"2026-08-02T00:35:43Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-08T06:57:49.740149Z","submitted_at":"2026-06-04T02:46:31Z","title":"ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation"},"reference_resolution":{"displayed":47,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":47,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":47},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2606.05621."}