{"as_of":"2026-08-05T18:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6b04707f4ec4186581a14548650321c1504a777d875bcd52b6784e1d3c05398e","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-12T04:55:22.596920Z","state":"measured"},{"denominator":54,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":54,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T15:12:55.667256Z","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":[{"citation":{"cited_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.10530","snapshot_observed_at":"2026-08-04T15:12:55.667256Z","title":"2026 , archivePrefix =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.02097","last_updated":"2026-08-03T11:58:21Z","snapshot_observed_at":"2026-08-05T17:43:58.980794Z","submitted_at":"2026-08-03T11:58:21Z","title":"Fetch-then-Explore: Decoupling Selection from Extraction over a Persistent Workspace for Search Agents","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-04T15:12:55.667256Z"},"links":{"cited_paper":"/paper/2605.10530","citing_paper":"/paper/2608.02097"},"observation_digest":"sha256:3ef895e18aa0b40c8e3aff09994f88e1589c0e287b4b3c4e6adad324cd25811e","observation_id":"e21aa058-8d88-4eee-8a5d-9f2972d5d856","resolution":{"observed_at":"2026-08-04T15:12:55.667256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.10530/citation-record","integrity":"/paper/2605.10530/integrity","json":"/paper/2605.10530/citation-record.json","paper":"/paper/2605.10530"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T08:46:06.874657Z","title":null,"venue":null,"work_id":"7789f786-76d0-4cc1-b01d-adfe8d140e8f","year":null},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:0bccc3a2370221df96ddd650f23da4091f81b6938ea4ed192fa156bfaaa50c52","observation_id":"57b77f97-bc9e-4e27-8fc5-1fdbbf2c38d6","resolution":{"observed_at":"2026-05-12T13:01:36.072247Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"626bfee2-5a6f-4b32-9b98-1725cf8acb71","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:876bd00e8048de37b8ab104ac21385c52168ed5c69848cc9c606ce2cf0a264bf","observation_id":"c5a41a71-d770-428c-9fa4-9fa837b93104","resolution":{"observed_at":"2026-05-12T13:01:36.129336Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-05T03:50:39.821781Z","title":null,"venue":null,"work_id":"a32d6304-97ed-46fc-b35e-43f83cb5451e","year":2005},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:27b7272c5dc937a16e851bc70e84c73032a6c6f027ec01f152d431ed9ea8007f","observation_id":"f4fb3646-5136-4879-821e-c83a8905993d","resolution":{"observed_at":"2026-05-12T13:01:36.116505Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"880be102-e55b-4598-a1a3-8ba590bbe8d7","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:62a1d367962c7b32145bc7278868f336377f3ba4526c653f567f387a64b21548","observation_id":"27e9d62e-ab4b-4ebb-b0fc-c8197483ac5e","resolution":{"observed_at":"2026-05-12T13:01:36.125524Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03216","last_updated":"2025-12-12T11:26:32Z","snapshot_observed_at":"2026-07-06T17:25:35.493362Z","submitted_at":"2024-02-05T17:26:49Z","title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","version":5},"cited_work":{"arxiv_id":"2402.03216","doi":"10.48550/arxiv.2402.03216","metadata_source":"pith","pith_arxiv_id":"2402.03216","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation","venue":"cs.CL","work_id":"a9435752-4e49-42bd-95b4-0fec975633c8","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2402.03216","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:9e2d2db4325e108dbad9275040b445740e0d5d961b6c26c971885647c1f07b06","observation_id":"587adac2-d4af-45f7-8508-583dc6290d80","resolution":{"observed_at":"2026-05-12T05:46:31.409598Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"51dc6076-f9ff-46bd-a27b-eb22c9f75092","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:b0959b29ffbfacd3fe92deb6506a6611dfed286ec1daa62a883d0148229a33b6","observation_id":"0d55b438-9fcb-4597-b3f5-1060807a3b86","resolution":{"observed_at":"2026-05-12T13:01:36.104646Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2501.12948","doi":"10.1016/j.artmed.2024.103001","metadata_source":"pith","pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","venue":"cs.CL","work_id":"e6b75ad5-2877-4168-97c8-710407094d20","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:7a2ec129b4240c7b4bba9153ed3a1de419edf05bfdc646673ca41595e3a70d1f","observation_id":"1018674c-b7e8-495a-a1e6-b1608446caa7","resolution":{"observed_at":"2026-05-12T05:46:31.380313Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.11763","last_updated":"2025-06-13T13:17:32Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-13T13:17:32Z","title":"DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents","version":1},"cited_work":{"arxiv_id":"2506.11763","doi":"10.48550/arxiv.2506.11763","metadata_source":"pith","pith_arxiv_id":"2506.11763","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents","venue":"cs.CL","work_id":"449edaa7-8f9d-4170-952d-4ab0d740572c","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2506.11763","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:f08756cf0bb49ba6a08f7bc599ecdc5948940df08edad9b6f4f657bfc30f98cd","observation_id":"37226295-27b8-4c72-975c-1bf3138f0e63","resolution":{"observed_at":"2026-05-16T08:07:39.643626Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-12T03:19:29.66339+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T03:19:29.66339+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b9b5cce0-6136-456c-9d13-fc41339bc980","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:9fcb85a60c0eff0ce96ee25fc82fee9f0c554628698bb01ae220b4af04c0dd4f","observation_id":"48c4c978-f2e3-4c56-b69a-11f7b994e6ca","resolution":{"observed_at":"2026-05-12T13:01:36.088149Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"dac2e303-e3bf-4c98-bfe6-02d446bb955f","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:9db92bbe0af709bdae71b1d5405ab32b05135193685ab79c6c79c0ded52356b9","observation_id":"8c96b567-0063-4278-aa48-c72bdd532783","resolution":{"observed_at":"2026-05-12T13:01:36.084259Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"2024.Gemini Deep Research — your personal research assistant","venue":null,"work_id":"9bf79441-a60b-4021-aeec-ab46bad8d1e4","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:4c11f91827349256f027ff357549748861cde9956307d4f58c05ba780634243c","observation_id":"12f66413-d81c-460f-9589-183fa945c8a7","resolution":{"observed_at":"2026-05-12T13:01:36.091827Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"2025.How we built our multi-agent research system","venue":null,"work_id":"951b7d5e-268f-4cfa-a11f-bd27564a9276","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:4254db99eccf02c39a82bb7826e0c708aa6262e6755ae50c2f52e141924452c3","observation_id":"375d35c9-d058-4d46-b11b-c71f3e1320e8","resolution":{"observed_at":"2026-05-12T13:01:36.100697Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9834301d-1eb9-48b5-83ff-83b4c356eba6","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:d09b71dcef686d2c1d19bd8ab8bff977503b1056633cfc513e932e5cf388557d","observation_id":"6cc1984b-811b-47f2-8885-1ad02de71ae2","resolution":{"observed_at":"2026-05-12T13:01:36.010859Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.13576","last_updated":"2025-02-24T02:46:52Z","snapshot_observed_at":"2026-07-06T18:17:54.712067Z","submitted_at":"2024-05-22T12:12:40Z","title":"FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research","version":2},"cited_work":{"arxiv_id":"2405.13576","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.13576","snapshot_observed_at":"2026-06-30T02:34:13.452264Z","title":"Flashrag: A modular toolkit for efficient retrieval-augmented generation research","venue":null,"work_id":"a2038327-4d1b-4caf-b7f0-eb2b996d4e1e","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2405.13576","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:3d39e4cbc158d6f8037f9b8beb3becbb8c223b8a498a85ac4611d3beb3b82e9e","observation_id":"c762bf58-9420-41bb-ba8d-7c5a8fadf309","resolution":{"observed_at":"2026-05-12T05:46:31.399433Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.11016","last_updated":"2024-10-15T03:24:47Z","snapshot_observed_at":"2026-07-06T18:46:39.497352Z","submitted_at":"2024-06-27T01:52:05Z","title":"LongLaMP: A Benchmark for Personalized Long-form Text Generation","version":3},"cited_work":{"arxiv_id":"2407.11016","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.11016","snapshot_observed_at":"2026-07-03T18:28:48.405764Z","title":"Rossi, Franck Dernoncourt, Hanieh Deilamsalehy, Xiang Chen, Ruiyi Zhang, Shubham Agarwal, Nedim Lipka, Chien Van Nguyen, Thien Huu Nguyen, and Hamed Zamani","venue":null,"work_id":"a04d4873-6a7d-4c16-8a44-9f1d1749ef4a","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2407.11016","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:10b803a4ee782cbd55a71ccceea3b7808a4ee55fa75cbdb548fa2072cb97eb2e","observation_id":"9801f7fa-3371-4ccd-81f1-96213c60661e","resolution":{"observed_at":"2026-05-12T05:46:31.353813Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"b834029d-65c6-4fa9-9472-f962674809c3","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:fcadde435ed2245e6e87bc83671e14770086d2dc2fccd70bfbbe3dc11fe5d3b2","observation_id":"aed41572-fd3d-4b6f-a9b9-ad3d79b46002","resolution":{"observed_at":"2026-05-12T13:01:36.007474Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.10147","last_updated":"2025-04-14T11:57:52Z","snapshot_observed_at":"2026-08-02T08:30:50.746791Z","submitted_at":"2025-04-14T11:57:52Z","title":"A Survey of Personalization: From RAG to Agent","version":1},"cited_work":{"arxiv_id":"2504.10147","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.10147","snapshot_observed_at":"2026-07-03T17:48:46.054219Z","title":"arXiv preprint arXiv:2504.10147 , year=","venue":null,"work_id":"b83554f0-1b5c-4055-88a1-763dd4c6aea3","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2504.10147","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:b0e68ed9bdb8f08c5ea1df8a8abc383cb805a7e03f31c7603acca51a2a281c90","observation_id":"2e7849b2-2ce8-4d2c-9abd-c9eae2bc8330","resolution":{"observed_at":"2026-05-12T05:46:31.370507Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.21776","last_updated":"2025-10-13T12:40:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-30T16:25:25Z","title":"WebThinker: Empowering Large Reasoning Models with Deep Research Capability","version":2},"cited_work":{"arxiv_id":"2504.21776","doi":"10.48550/arxiv.2504.21776","metadata_source":"pith","pith_arxiv_id":"2504.21776","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"WebThinker: Empowering Large Reasoning Models with Deep Research Capability","venue":"cs.CL","work_id":"7e319d34-eb88-4ea9-8c0d-b66320599f98","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2504.21776","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:237e79217c19db9629a75d240b33e1e1d14139f9b794a4f73f0420f2e7b22431","observation_id":"0f435c32-fba5-404b-b4b7-471b029e2c08","resolution":{"observed_at":"2026-05-16T19:14:25.573630Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.15450","last_updated":"2023-12-24T10:14:44Z","snapshot_observed_at":"2026-08-03T17:43:30.370443Z","submitted_at":"2023-12-24T10:14:44Z","title":"Agent4Ranking: Semantic Robust Ranking via Personalized Query Rewriting Using Multi-agent LLM","version":1},"cited_work":{"arxiv_id":"2312.15450","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2312.15450","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7400b508-f335-446b-bb97-694ca6542ad1","year":2023},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2312.15450","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:264d4fdea65f04b6c7a8d02d44901ff6fab323e4479db5f027b96714f895d005","observation_id":"a4450d64-39b1-405b-9a3c-9799949b58d4","resolution":{"observed_at":"2026-05-12T05:46:31.513973Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"fca973aa-1cab-459b-a3f2-c3e6da3b3cd1","year":2023},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:f471f082082b9fcc79ec3014e56d0aef52b07273b73a857f4c961f18ebd751bf","observation_id":"7368b76c-454e-4c86-bc6e-a6a75d526bcd","resolution":{"observed_at":"2026-05-12T13:01:36.075953Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.20072","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"74b95860-3cf0-403c-9ee7-dd8516506cf4","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:592d3bbb2413c1e7db3fc65f9c21052f2da497d570335cb23f681272357e5346","observation_id":"7c3f8a23-c685-477f-ad55-12ba3c8c1e0a","resolution":{"observed_at":"2026-05-12T05:46:31.521235Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2506.17188","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2506.17188 , year=","venue":null,"work_id":"d669ef64-2a85-4a5f-a899-b6b9ea17b665","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:74fe4419a4e52f0bf4f7a6c4b800692331038e4f54dfcf1d09a797eef85f7125","observation_id":"62d7f12f-2668-46c3-810a-77f6e905ca98","resolution":{"observed_at":"2026-05-12T05:46:31.528456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d7b27540-2f57-4b30-aaa7-360960995b19","year":2004},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:542786715e3ec45edf85ef3dbef824be35be7ad25083596b1e267d2535ebde78","observation_id":"f4b0e321-cd93-4b5b-a238-6054d8c8dd25","resolution":{"observed_at":"2026-05-12T13:01:36.112085Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5d92b38c-0448-47d1-9fee-739cf665dbb3","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:539e7f48cb94aaa87c349aa73d00455cd473715a8027a17e7d62dfb2192fea5c","observation_id":"6dc6fef8-ba5c-4e0b-82e9-ae353e5079ba","resolution":{"observed_at":"2026-05-12T13:01:36.080037Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e0ee3df6-d796-4249-a514-2c9e02414228","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:88fdb8247e61ad2be3ff92d9be09ed10e0df8e93d639d28e7a432414300925d0","observation_id":"fdb7731d-bacb-469c-9754-d26bcbad99f3","resolution":{"observed_at":"2026-05-12T13:01:36.004292Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"be995699-d68a-4026-b5e4-d5b56e489fe6","year":2012},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:370341f25e6b6f11da0e1ba1d2cdb184c88cbd75574975c2230de3ddc27c263a","observation_id":"255cf86c-c4d7-4cb3-a9b1-26a74a27f1b1","resolution":{"observed_at":"2026-05-12T13:01:36.108595Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9019de1f-71ac-4505-812c-6a22f373867d","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:d1045c7475371dd79616024c2a8ae5703009228d14c61dfb0aa5b6d3f3feebdf","observation_id":"0655b530-cb5b-428a-b572-fba55155f1ec","resolution":{"observed_at":"2026-05-12T13:01:36.095680Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"2025.Kimi-Researcher: End-to-End RL Training for Emerging Agentic Capabilities","venue":null,"work_id":"d1e7d1a0-5ea1-4ddc-9460-04fab4dc27a0","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:5dfb6b0ff535b9dbd828b52d67565387705b3c5baccccd7e18f3b3a2086db554","observation_id":"72a2c7f0-57df-4d63-a5ad-e7a9238eae8b","resolution":{"observed_at":"2026-05-12T13:01:36.121112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"2025.Title of the Article","venue":null,"work_id":"8d4a20c5-0c7c-4a86-bffa-af0343721ea7","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:7745dda63cff2f00c369304119242432ced7eb7e82f45f1d6cbb6c92594d5bca","observation_id":"4f32243d-503c-46bd-8921-0b484b623a27","resolution":{"observed_at":"2026-05-12T13:01:36.060156Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"2025.Introducing Deep Research","venue":null,"work_id":"7c09a33f-4f64-44b5-80e8-e789f2b8deb1","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:72b2b2f04200e8637eefc3000eed9ad582839b35fc0da785b8479e5dcfbcf50a","observation_id":"817f6a97-8b1d-443c-8abf-ca1f76ddcac1","resolution":{"observed_at":"2026-05-12T13:01:36.055959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"2025.Introducing Perplexity Deep Research","venue":null,"work_id":"ba40df35-9ac1-4648-aa3e-21ec61296fab","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:22b80de5ecb1e833b02fb0ba69a78ac4e345fd13bdee9b8c0899ed2c51c810b1","observation_id":"c830b0e7-0e97-4b92-9546-713a37812072","resolution":{"observed_at":"2026-05-12T13:01:36.039645Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14249","last_updated":"2026-02-20T04:23:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-24T05:27:46Z","title":"Humanity's Last Exam","version":10},"cited_work":{"arxiv_id":"2501.14249","doi":"10.1038/s41586-025-09962-4","metadata_source":"pith","pith_arxiv_id":"2501.14249","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Humanity's Last Exam","venue":"cs.LG","work_id":"59ea00d4-16a8-45e1-aafc-290a6f91d9f4","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2501.14249","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:a56c7b1b227c8ca966d8e16294d8c004de8896462000bffea041cb306890480a","observation_id":"11f613a6-aa79-4863-91bb-98a293df85e5","resolution":{"observed_at":"2026-05-12T05:46:31.365269Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-03T22:08:32.844211+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T22:08:32.844211+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04167","last_updated":"2025-01-07T22:29:08Z","snapshot_observed_at":"2026-07-06T20:17:57.863157Z","submitted_at":"2025-01-07T22:29:08Z","title":"Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation","version":1},"cited_work":{"arxiv_id":"2501.04167","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.04167","snapshot_observed_at":"2026-07-03T01:07:30.179453Z","title":"Reasoning-enhanced self-training for long-form personalized text generation","venue":null,"work_id":"f9a8872f-d0f6-497f-8ed4-6dafe81ba0a0","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2501.04167","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:348c05f828f63616543d3d51ccd862d6db39675c6f4d762656d8aaadffeaa6e6","observation_id":"501387f8-d102-4bf0-94b0-4277a9a4ab73","resolution":{"observed_at":"2026-05-12T05:46:31.460209Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.04227","last_updated":"2025-06-17T16:19:14Z","snapshot_observed_at":"2026-08-03T03:40:06.947021Z","submitted_at":"2025-01-08T01:58:42Z","title":"Agent Laboratory: Using LLM Agents as Research Assistants","version":2},"cited_work":{"arxiv_id":"2501.04227","doi":"10.48550/arxiv.2501.04227","metadata_source":"pith","pith_arxiv_id":"2501.04227","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Agent Laboratory: Using LLM Agents as Research Assistants","venue":"cs.HC","work_id":"cb6e0bd7-2f2d-4052-875a-985ba5600340","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2501.04227","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:1631a6195069b3947026560fc53968a07a991524e9bf2616ba9d5328ee5a508f","observation_id":"6155f861-14b6-4831-a22a-56c18a6de28f","resolution":{"observed_at":"2026-05-17T04:05:19.002260Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:20.272963+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:20.272963+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.09136","last_updated":"2026-04-01T15:51:06Z","snapshot_observed_at":"2026-07-06T20:21:42.341172Z","submitted_at":"2025-01-15T20:40:25Z","title":"Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG","version":4},"cited_work":{"arxiv_id":"2501.09136","doi":"10.48550/arxiv.2501.09136","metadata_source":"pith","pith_arxiv_id":"2501.09136","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG","venue":"cs.AI","work_id":"6edcfe5a-e498-4a2e-aa57-dcaa5ef20f86","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2501.09136","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:841d363d032ea710cec21f3cea965142e48ee20aa220e17a356e2fe011176ee6","observation_id":"de6fdb97-dcab-4cc3-aeda-5db1c7314690","resolution":{"observed_at":"2026-05-13T03:26:34.894571Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.18705","last_updated":"2025-05-24T13:54:38Z","snapshot_observed_at":"2026-07-31T20:08:57.227865Z","submitted_at":"2025-05-24T13:54:38Z","title":"AI-Researcher: Autonomous Scientific Innovation","version":1},"cited_work":{"arxiv_id":"2505.18705","doi":"10.48550/arxiv.2505.18705","metadata_source":"pith","pith_arxiv_id":"2505.18705","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"CoRR , volume =","venue":"cs.AI","work_id":"3845f0f0-08d4-4650-b390-6bfdd269f79a","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2505.18705","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:15222540e70cdab958b5ddbe6b8cfddc288c644406691d78c3291edb89c7659b","observation_id":"da2fb48f-0be4-4bfa-933f-8ce08c05f19a","resolution":{"observed_at":"2026-05-12T05:46:31.509081Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T19:23:26.377836+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T19:23:26.377836+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"379d54fc-ab33-4381-900b-66f7c5b745e5","year":2008},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:d5c9ad2589c25c83e992ff9a6f160ef4ea026118ac24bd873b4b3c99c9d0e5fb","observation_id":"1ab60a54-c974-4b32-aead-70bfe4a78119","resolution":{"observed_at":"2026-05-12T13:01:36.023303Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9ce51e2c-d4c9-4365-87a7-149fe190e19e","year":1984},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:20dd7a93b5a0f382689c40d5dca5e6fdfd8f459228d25a82b09c9d3dfd75c572","observation_id":"d5a1f6ec-87e6-45b5-b796-11b4b9e51002","resolution":{"observed_at":"2026-05-12T13:01:36.035846Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9c5ada8e-6d98-4ff4-93ff-5b561360642b","year":2017},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:36c82682e9319a5fe2dd933cea47ffc4c1736cb6064ddfac2cad5bd809391013","observation_id":"42d98e15-1d31-4b0f-add4-828b135c21b1","resolution":{"observed_at":"2026-05-12T13:01:36.043611Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"70b5880a-33cf-43f5-ab9c-5a410f547ed3","year":null},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:9682ad2e68ef5f3fa3fb60d3e53b93ed63bf2a5158d71f8d71ee660170cd479f","observation_id":"cbf16c9c-888d-42ae-85b1-e3bce1f659b7","resolution":{"observed_at":"2026-05-12T13:01:36.047861Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"8016.345755","doi":"10.1145/3448016.3457550","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Milvus: A purpose-built vector data management system","venue":null,"work_id":"3420bc48-57e6-45ac-9e7a-08ce61de9cbb","year":2021},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:f651d3e1c51ab83e9e637743da019348b36d91965d22790d7b937c4cbee1cf4a","observation_id":"4231912d-be40-4fd9-84d1-e9d27c26e392","resolution":{"observed_at":"2026-05-12T04:56:21.007634Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-12T04:50:27.745877+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T04:50:27.745877+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f5aa73ab-ace0-4568-a40e-642cc360108d","year":2023},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:59c82283b7ab8d5296362dd259d308503170e191f4d5d1c3f96519fc8e342fe9","observation_id":"9adc6ce1-71fc-4db2-bebc-43864ba90a3a","resolution":{"observed_at":"2026-05-12T13:01:36.052070Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04368","last_updated":"2024-11-07T01:58:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-11-07T01:58:42Z","title":"Measuring short-form factuality in large language models","version":1},"cited_work":{"arxiv_id":"2411.04368","doi":"10.48550/arxiv.2411.04368","metadata_source":"pith","pith_arxiv_id":"2411.04368","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring short-form factuality in large language models","venue":"cs.CL","work_id":"f8e490ab-7057-43fb-8c6d-06fc603836c7","year":2024},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2411.04368","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:f08ae869cfd0ddfd90f85e4c37e177e51137c3791895fb6de9e37f0296b00a65","observation_id":"8b047e32-67c3-40f2-9d40-2476e6d911a7","resolution":{"observed_at":"2026-05-15T06:45:50.345693Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"68cfd158-a33d-41ad-a011-8300766f3186","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:80096e050879b1d482b9c1beff83738bb3315b8199d673344b8e7bb0fdb03735","observation_id":"d77e2316-bdd9-430e-b7e8-4d81b97b7504","resolution":{"observed_at":"2026-05-12T13:01:36.064158Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.16280","last_updated":"2025-07-22T06:51:26Z","snapshot_observed_at":"2026-07-06T22:00:52.749944Z","submitted_at":"2025-07-22T06:51:26Z","title":"ResearcherBench: Evaluating Deep AI Research Systems on the Frontiers of Scientific Inquiry","version":1},"cited_work":{"arxiv_id":"2507.16280","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.16280","snapshot_observed_at":"2026-07-03T05:47:41.419232Z","title":"Researcherbench: Evaluating deep ai research systems on the frontiers of scientific inquiry","venue":null,"work_id":"5511bfb9-8ecb-4c5d-a38f-89d73c3a7152","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2507.16280","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:aef7ba931213234f6472f8d6e289480b5a91cfcfd01f61843392f3e3d3370f78","observation_id":"e0e6c591-fa0f-4536-a350-66d34f38164b","resolution":{"observed_at":"2026-05-12T05:46:31.422150Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"5d5578aa-1ac1-45f5-b29c-d5c49f9738d8","year":2026},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:61f58366a0f4e2e2cd69397819b23ea8decf003d47d29aaf8758655f80365890","observation_id":"434806b4-5e6c-4241-a2b4-1ab5eab37bee","resolution":{"observed_at":"2026-05-12T13:01:36.068602Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.14069","doi":"10.48550/arxiv.2505.14069","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Initialization with Forced Diversifi- cation","venue":"ArXiv.org","work_id":"1c69c962-0519-4b2d-837b-7b03c66cf1bb","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:4b948565994c96adfda7f4902491db9461dda6432d763e6a63c16c6ee43f358e","observation_id":"5bb97314-5825-4351-adc4-c59e57568a08","resolution":{"observed_at":"2026-05-12T05:46:31.452821Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.12752","last_updated":"2025-08-18T09:26:14Z","snapshot_observed_at":"2026-07-06T22:14:21.107961Z","submitted_at":"2025-08-18T09:26:14Z","title":"Deep Research: A Survey of Autonomous Research Agents","version":1},"cited_work":{"arxiv_id":"2508.12752","doi":"10.48550/arxiv.2508.12752","metadata_source":"pith","pith_arxiv_id":"2508.12752","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep research: A survey of autonomous research agents.arXiv preprint arXiv:2508.12752, 2025a","venue":"cs.IR","work_id":"94fabb43-10d5-4689-a4ff-8b7caab0406c","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2508.12752","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:b7a5d081ae462650873409b4bbdf2f2fcce4be7e2c8273c96f53479111319e58","observation_id":"dfa9d258-79f3-434c-9782-46307b68a2e0","resolution":{"observed_at":"2026-05-12T05:46:31.439276Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0ed38cba-cb19-4513-884e-715ff954fdf0","year":2026},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:2f213978b2122cd9565df62b021cde04d06d16ace225816f3420eda31219ad69","observation_id":"e14280fa-55ac-432c-9736-26d0a8b1e630","resolution":{"observed_at":"2026-05-12T13:01:36.031242Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"f12c5348-0da6-4391-80e1-2ec2cd90f8fd","year":2026},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:2f0ea8df2c5f9b2d6cd66af29245f459caa2994408046b1984df9a4eea1d380b","observation_id":"579de8aa-39da-4886-9508-75383deafa73","resolution":{"observed_at":"2026-05-12T13:01:36.014857Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"9d182f8e-2917-4337-b96d-23fc83fd0761","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:3503cd45b1c779714e0a938eae4919e3bcb94d0faf31e8853b8fa76e13f14794","observation_id":"f9d7a308-2b83-46ac-84b9-72f6b8d78270","resolution":{"observed_at":"2026-05-12T13:01:36.019000Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Deep reinforce- ment learning for search, recommendation, and online advertising: a survey","venue":null,"work_id":"2257ca6f-6326-4d13-bf00-6b56f46b60ff","year":2019},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:a3d75bd562a4583a1a84eaa4e4cf33ee3006476c1245f5da80cf5eccff421cb4","observation_id":"19bd1061-65e9-4b13-b6d9-11a0680cb0a9","resolution":{"observed_at":"2026-05-12T13:01:36.027475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.03160","last_updated":"2025-04-17T04:46:08Z","snapshot_observed_at":"2026-07-06T21:04:06.413573Z","submitted_at":"2025-04-04T04:41:28Z","title":"DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments","version":4},"cited_work":{"arxiv_id":"2504.03160","doi":null,"metadata_source":"pith","pith_arxiv_id":"2504.03160","snapshot_observed_at":"2026-07-03T04:37:37.738752Z","title":"DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments","venue":"cs.AI","work_id":"460d8021-a193-45c3-89a7-b72f6767c87f","year":2025},"citing_paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-12T04:55:22.596920Z"},"links":{"cited_paper":"/paper/2504.03160","citing_paper":"/paper/2605.10530"},"observation_digest":"sha256:702a824e52debec3e4ac395597f8edd5b5349fc5acaa3e7e9dfd5e04eda02830","observation_id":"097f2884-a712-4d40-bc13-4269f36d43f9","resolution":{"observed_at":"2026-05-16T19:58:59.023888Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.10530","last_updated":"2026-05-11T13:14:54Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-07-06T23:22:28.318343Z","submitted_at":"2026-05-11T13:14:54Z","title":"Personalized Deep Research: A User-Centric Framework, Dataset, and Hybrid Evaluation for Knowledge Discovery"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":25,"verified_exact":20,"verified_fuzzy":7},"total_outbound_references":53},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2605.10530."}