{"as_of":"2026-08-10T12:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:186a6a28f82e7e3bceb34bfa9773a831eab3ef5d7d47865917a0d5a28dcadac9","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:35:53.403585Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T00:26:33.599904Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.17236","last_updated":"2025-03-24T17:51:54Z","snapshot_observed_at":"2026-08-05T20:26:11.775090Z","submitted_at":"2024-10-22T17:54:45Z","title":"Large Language Models Empowered Personalized Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17236","snapshot_observed_at":"2026-08-07T11:18:56.938858Z","title":"Large language models empowered personalized web agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02839","last_updated":"2025-06-03T13:08:17Z","snapshot_observed_at":"2026-08-08T11:41:37.910337Z","submitted_at":"2025-06-03T13:08:17Z","title":"DeepShop: A Benchmark for Deep Research Shopping Agents","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:56.938858Z"},"links":{"cited_paper":"/paper/2410.17236","citing_paper":"/paper/2506.02839"},"observation_digest":"sha256:cefdcfd19304784cd48b73d2c644c145cfd5493fdbae5ba6d3c5174aae188be8","observation_id":"42b15532-02da-4ff8-89e1-3354e8f7023c","resolution":{"observed_at":"2026-08-07T11:18:56.938858Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17236","last_updated":"2025-03-24T17:51:54Z","snapshot_observed_at":"2026-08-05T20:26:11.775090Z","submitted_at":"2024-10-22T17:54:45Z","title":"Large Language Models Empowered Personalized Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17236","snapshot_observed_at":"2026-08-07T00:56:37.494843Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12331","last_updated":"2025-06-14T03:44:09Z","snapshot_observed_at":"2026-08-08T15:39:29.532301Z","submitted_at":"2025-06-14T03:44:09Z","title":"IndoorWorld: Integrating Physical Task Solving and Social Simulation in A Heterogeneous Multi-Agent Environment","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T00:56:37.494843Z"},"links":{"cited_paper":"/paper/2410.17236","citing_paper":"/paper/2506.12331"},"observation_digest":"sha256:7984d12e76c67bb0dc8f46bb1263dbb10d29cd6ec1a243afc1400b3db4454bf8","observation_id":"aef3e153-3c58-45d5-ab24-0677190e4ac4","resolution":{"observed_at":"2026-08-07T00:56:37.494843Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17236","last_updated":"2025-03-24T17:51:54Z","snapshot_observed_at":"2026-08-05T20:26:11.775090Z","submitted_at":"2024-10-22T17:54:45Z","title":"Large Language Models Empowered Personalized Web Agents","version":2},"cited_work":{"arxiv_id":"2410.17236","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.17236","snapshot_observed_at":"2026-08-07T00:26:33.599904Z","title":"Large Language Models Empowered Personalized Web Agents","venue":"cs.CL","work_id":"5f755a23-66cb-4c76-82be-ed460e4e0297","year":2024},"citing_paper":{"arxiv_id":"2506.14437","last_updated":"2025-06-17T11:56:11Z","snapshot_observed_at":"2026-08-07T00:15:19.354391Z","submitted_at":"2025-06-17T11:56:11Z","title":"Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T00:26:31.660470Z"},"links":{"cited_paper":"/paper/2410.17236","citing_paper":"/paper/2506.14437"},"observation_digest":"sha256:6a5f3cb7c07b0b4bae8578e014745e0cb42de4a501969b3abf36454ec2ec6731","observation_id":"63625c1b-32f5-4b4c-bd64-bd8a12a424bf","resolution":{"observed_at":"2026-08-07T00:26:33.603379Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.17236","last_updated":"2025-03-24T17:51:54Z","snapshot_observed_at":"2026-08-05T20:26:11.775090Z","submitted_at":"2024-10-22T17:54:45Z","title":"Large Language Models Empowered Personalized Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.17236","snapshot_observed_at":"2026-08-07T13:35:53.403585Z","title":"arXiv preprint arXiv:2410.17236 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06171","last_updated":"2026-08-06T15:37:04Z","snapshot_observed_at":"2026-08-10T02:35:06.185472Z","submitted_at":"2026-08-06T15:37:04Z","title":"Routing Is Least Learnable Where It Is Most Valuable: Bounds on Representation Routing for Web Agents","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T13:35:53.403585Z"},"links":{"cited_paper":"/paper/2410.17236","citing_paper":"/paper/2608.06171"},"observation_digest":"sha256:7c94386652d579ad3326a0159e98cd81a8cec5027ba072e6ce7188714f371d44","observation_id":"abe09265-613b-4aa0-8349-fcf19dfa146a","resolution":{"observed_at":"2026-08-07T13:35:53.403585Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.17236/citation-record","integrity":"/paper/2410.17236/integrity","json":"/paper/2410.17236/citation-record.json","paper":"/paper/2410.17236"},"outbound":[],"paper":{"arxiv_id":"2410.17236","last_updated":"2025-03-24T17:51:54Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-05T20:26:11.775090Z","submitted_at":"2024-10-22T17:54:45Z","title":"Large Language Models Empowered Personalized Web Agents"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.17236."}