{"as_of":"2026-08-09T15:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8452034ea7276995840e3737a7c69609144e2363cb7f0a99913e933688cadae1","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T12:16:27.432261Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T11:04:37.693348Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":"2407.01511","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-06-30T11:04:37.693348Z","title":"Crab: Cross-environment agent benchmark for multimodal language model agents","venue":null,"work_id":"4d271b87-3d47-420b-be5c-40af65340e4d","year":2025},"citing_paper":{"arxiv_id":"2412.04454","last_updated":"2025-05-05T16:17:20Z","snapshot_observed_at":"2026-07-06T20:02:21.509050Z","submitted_at":"2024-12-05T18:58:26Z","title":"Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction","version":2},"reference_index":114,"source":"arxiv_source","source_observed_at":"2026-05-18T04:09:41.494136Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2412.04454"},"observation_digest":"sha256:f3ee80897fcfa287fef56b902f5e85d69c3e42b20ec894a0c960b1cb0ccf9d14","observation_id":"6ccd7979-ec79-40d0-b518-86f4b9207fbb","resolution":{"observed_at":"2026-05-18T04:09:41.654741Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-08-09T12:16:27.432261Z","title":"Crab: Cross- environment agent benchmark for multimodal language model agents.arXiv preprint arXiv:2407.01511,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.04350","last_updated":"2025-05-29T00:38:10Z","snapshot_observed_at":"2026-08-09T12:08:35.486276Z","submitted_at":"2025-02-04T15:53:59Z","title":"CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-09T12:16:27.432261Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2502.04350"},"observation_digest":"sha256:52d594f2ff6e1882aff58351b7e403262e9d8fa1943627b63f059be69f4c0e88","observation_id":"ac286b4f-45be-4fe4-b23f-76b00f16ac63","resolution":{"observed_at":"2026-08-09T12:16:27.432261Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-08-07T12:41:25.836729Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23762","last_updated":"2025-05-29T17:59:51Z","snapshot_observed_at":"2026-08-08T14:02:10.449991Z","submitted_at":"2025-05-29T17:59:51Z","title":"ZeroGUI: Automating Online GUI Learning at Zero Human Cost","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T12:41:25.836729Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2505.23762"},"observation_digest":"sha256:7528b940b6bac7acffeb277879d5862b638935ebb3b25b7ac548841efe5cc017","observation_id":"2abe4386-ba02-4aa4-9e72-88eb4db837e0","resolution":{"observed_at":"2026-08-07T12:41:25.836729Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-08-07T05:02:29.289598Z","title":"Crab: Cross-environment agent benchmark for multimodal language model agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.08933","last_updated":"2025-06-10T15:59:38Z","snapshot_observed_at":"2026-08-07T04:56:29.533924Z","submitted_at":"2025-06-10T15:59:38Z","title":"What Limits Virtual Agent Application? OmniBench: A Scalable Multi-Dimensional Benchmark for Essential Virtual Agent Capabilities","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T05:02:29.289598Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2506.08933"},"observation_digest":"sha256:35c3812104c87048c81a5bd3b42761cbe6249a0565197af87d0c16ae6164abcc","observation_id":"c5611f9f-14ea-4cb8-95f4-037ad2065bbb","resolution":{"observed_at":"2026-08-07T05:02:29.289598Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":"2407.01511","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-06-30T11:04:37.693348Z","title":"Crab: Cross-environment agent benchmark for multimodal language model agents","venue":null,"work_id":"4d271b87-3d47-420b-be5c-40af65340e4d","year":2025},"citing_paper":{"arxiv_id":"2507.14201","last_updated":"2026-05-01T04:31:46Z","snapshot_observed_at":"2026-08-03T00:52:00.145580Z","submitted_at":"2025-07-14T17:06:26Z","title":"ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation","version":3},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-19T04:37:33.942379Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2507.14201"},"observation_digest":"sha256:4afe7af1f48eb848847481d2d99772c43c284943c9e4369ee5bfd1e9171c894d","observation_id":"f6ad6a1b-d5c4-4bf1-bf97-7db1c464796d","resolution":{"observed_at":"2026-05-19T04:42:04.780216Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":"2407.01511","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-06-30T11:04:37.693348Z","title":"Crab: Cross-environment agent benchmark for multimodal language model agents","venue":null,"work_id":"4d271b87-3d47-420b-be5c-40af65340e4d","year":2025},"citing_paper":{"arxiv_id":"2508.07407","last_updated":"2025-08-31T14:55:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-08-10T16:07:32Z","title":"A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems","version":2},"reference_index":107,"source":"pdf_text","source_observed_at":"2026-05-15T23:21:42.029285Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2508.07407"},"observation_digest":"sha256:f46d3029f37cd5bb9d60b9683823025fb624705edd8e9ad376c10c52f27a750c","observation_id":"15068098-842f-4427-90cc-4e69cb5e9c5c","resolution":{"observed_at":"2026-05-15T23:21:42.205528Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-08-05T17:45:19.512502Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16688","last_updated":"2025-08-21T18:39:35Z","snapshot_observed_at":"2026-08-09T15:10:02.394602Z","submitted_at":"2025-08-21T18:39:35Z","title":"Cybernaut: Towards Reliable Web Automation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T17:45:19.512502Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2508.16688"},"observation_digest":"sha256:fd5a6f88fc122a0a3db641409b535bef290ba17c30bda9e8fc46e19459ecce28","observation_id":"a81874f5-90ec-46ae-85ca-cbed6e4e30b7","resolution":{"observed_at":"2026-08-05T17:45:19.512502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":"2407.01511","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-06-30T11:04:37.693348Z","title":"Crab: Cross-environment agent benchmark for multimodal language model agents","venue":null,"work_id":"4d271b87-3d47-420b-be5c-40af65340e4d","year":2025},"citing_paper":{"arxiv_id":"2512.13564","last_updated":"2026-01-13T09:33:57Z","snapshot_observed_at":"2026-08-06T08:27:07.254588Z","submitted_at":"2025-12-15T17:22:34Z","title":"Memory in the Age of AI Agents","version":2},"reference_index":289,"source":"arxiv_source","source_observed_at":"2026-05-11T18:18:19.911342Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2512.13564"},"observation_digest":"sha256:d1389d7b0f248dbe81db13e73db3129ef91ed7669b6186984cd9657f3cccc945","observation_id":"c0618c75-23f6-4f43-b60e-618a5d712e89","resolution":{"observed_at":"2026-05-11T18:18:20.435815Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":"2407.01511","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-06-30T11:04:37.693348Z","title":"Crab: Cross-environment agent benchmark for multimodal language model agents","venue":null,"work_id":"4d271b87-3d47-420b-be5c-40af65340e4d","year":2025},"citing_paper":{"arxiv_id":"2605.25160","last_updated":"2026-06-18T02:24:07Z","snapshot_observed_at":"2026-08-03T08:02:05.766526Z","submitted_at":"2026-05-24T16:33:14Z","title":"ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T10:57:59.013811Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2605.25160"},"observation_digest":"sha256:342b11a161d1e73d09abc7a9407ee18af60b9f5290caf1a273329f26b337a17e","observation_id":"bc35a4e8-bc7e-4c75-b59d-6e47a77ed9fa","resolution":{"observed_at":"2026-06-30T11:04:37.694775Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agents","version":4},"cited_work":{"arxiv_id":"2407.01511","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.01511","snapshot_observed_at":"2026-06-30T11:04:37.693348Z","title":"Crab: Cross-environment agent benchmark for multimodal language model agents","venue":null,"work_id":"4d271b87-3d47-420b-be5c-40af65340e4d","year":2025},"citing_paper":{"arxiv_id":"2605.27761","last_updated":"2026-05-26T23:19:42Z","snapshot_observed_at":"2026-07-06T23:37:27.309837Z","submitted_at":"2026-05-26T23:19:42Z","title":"AndroidDaily: A Verifiable Benchmark for Mobile GUI Agents on Real-World Closed-Source Applications","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-29T17:52:03.395181Z"},"links":{"cited_paper":"/paper/2407.01511","citing_paper":"/paper/2605.27761"},"observation_digest":"sha256:e887b809061fb2db7bece56f27b794c774f815a45b05242e0998d7cb318f6d64","observation_id":"e5f8059b-5882-4b74-a1db-11229ed62b15","resolution":{"observed_at":"2026-06-29T17:53:46.971845Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.01511/citation-record","integrity":"/paper/2407.01511/integrity","json":"/paper/2407.01511/citation-record.json","paper":"/paper/2407.01511"},"outbound":[],"paper":{"arxiv_id":"2407.01511","last_updated":"2025-07-20T13:42:07Z","latest_version":4,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-07T02:33:48.927506Z","submitted_at":"2024-07-01T17:55:04Z","title":"CRAB: Cross-environment Agent Benchmark for Multimodal Language Model 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.01511."}