{"as_of":"2026-08-21T01:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:86df1c72b42eb08f5bd0e257a89bcc4d092231de4a697f9bd51024e1a901e08c","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":28,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":28,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":28,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":28,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:30:16.526886Z","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":"2026-07-10T12:27:04.223243Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2411.18279","last_updated":"2025-05-06T15:08:00Z","snapshot_observed_at":"2026-08-17T10:40:45.253009Z","submitted_at":"2024-11-27T12:13:39Z","title":"Large Language Model-Brained GUI Agents: A Survey","version":12},"reference_index":287,"source":"pdf_text","source_observed_at":"2026-05-19T11:08:27.472508Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2411.18279"},"observation_digest":"sha256:db28b3a08ef815b87736a61c0e5e7f6981c0c1f850ff66208afa5ee74623f532","observation_id":"35ef8215-3db3-4442-bad1-96672570c0ea","resolution":{"observed_at":"2026-05-19T11:08:27.919294Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-10T22:08:09.738789Z","title":"Agentoccam: A simple yet strong baseline for llm- based web agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.02765","last_updated":"2025-01-06T05:15:59Z","snapshot_observed_at":"2026-08-14T12:32:34.328935Z","submitted_at":"2025-01-06T05:15:59Z","title":"Visual Large Language Models for Generalized and Specialized Applications","version":1},"reference_index":217,"source":"pdf_text","source_observed_at":"2026-08-10T22:08:09.738789Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2501.02765"},"observation_digest":"sha256:841e67cb50fb5c7708e270ea4ae34ee874ff07e8417792b7f3bbacc5f39ee2ec","observation_id":"3d0c09a6-ca58-4bad-84ae-76ac1100e384","resolution":{"observed_at":"2026-08-10T22:08:09.738789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-08T11:24:43.572851Z","title":"N/A\"! must indicate","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.07942","last_updated":"2025-03-06T19:40:57Z","snapshot_observed_at":"2026-08-15T19:21:29.224129Z","submitted_at":"2025-02-11T20:41:49Z","title":"Symbiotic Cooperation for Web Agents: Harnessing Complementary Strengths of Large and Small LLMs","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T11:24:43.572851Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2502.07942"},"observation_digest":"sha256:629608de3a64a0bd338c0aefbccd9f44085a2ae68d4292c53596dcdf8f4e7d20","observation_id":"ff6f10dd-2725-48cc-8593-dcdc52a92d4c","resolution":{"observed_at":"2026-08-08T11:24:43.572851Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2503.09572","last_updated":"2025-04-22T17:56:22Z","snapshot_observed_at":"2026-08-14T20:53:01.569151Z","submitted_at":"2025-03-12T17:40:52Z","title":"Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-17T21:32:18.491541Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2503.09572"},"observation_digest":"sha256:f8ab739a8d2151ed373c3b81f2b4469361b4d2650ee8d4f26bb00b286697cbd7","observation_id":"bdbb04ec-4cb0-4dc2-a4b2-4014309ec6fc","resolution":{"observed_at":"2026-05-17T21:32:18.694217Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-16T12:30:16.526886Z","title":"Agentoccam: A simple yet strong baseline for llm-based web agents, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.12682","last_updated":"2025-04-17T06:16:40Z","snapshot_observed_at":"2026-08-20T15:02:27.476571Z","submitted_at":"2025-04-17T06:16:40Z","title":"WebLists: Extracting Structured Information From Complex Interactive Websites Using Executable LLM Agents","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-16T12:30:16.526886Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2504.12682"},"observation_digest":"sha256:93cba2fe5c68c7d3303bd58c327c3e4e46076c005889cf85f6bd5a96a4d8f6b8","observation_id":"021974ed-ec86-4ba7-b6ef-e76fc0655bba","resolution":{"observed_at":"2026-08-16T12:30:16.526886Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-16T04:55:41.387716Z","title":"Agentoccam: A simple yet strong baseline for llm- based web agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.00234","last_updated":"2025-05-16T21:52:57Z","snapshot_observed_at":"2026-08-18T11:43:51.398380Z","submitted_at":"2025-05-01T00:48:12Z","title":"Self-Generated In-Context Examples Improve LLM Agents for Sequential Decision-Making Tasks","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T04:55:41.387716Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2505.00234"},"observation_digest":"sha256:6f6abb15f0293ba131542b95173396e54e8f64b24c4b7640099a845d7a931e49","observation_id":"4b88d6c2-9f9f-44b7-8afe-c6ac7f9e805e","resolution":{"observed_at":"2026-08-16T04:55:41.387716Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-07T11:33:04.845997Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02158","last_updated":"2025-06-02T18:39:55Z","snapshot_observed_at":"2026-08-14T13:55:23.786061Z","submitted_at":"2025-06-02T18:39:55Z","title":"Reflection-Based Memory For Web navigation Agents","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T11:33:04.845997Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2506.02158"},"observation_digest":"sha256:77b3c61b2ed7ef1bc2746be071f3f6e40a0e532adf6a4fbb80ad7c56c30c232a","observation_id":"77cf5821-59e5-4a41-91c5-ab4607154fe0","resolution":{"observed_at":"2026-08-07T11:33:04.845997Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-07T11:15:56.902212Z","title":"Agentoccam: A simple yet strong baseline for llm-based web agents.arXiv preprint arXiv:2410.13825, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.03011","last_updated":"2025-06-03T15:50:55Z","snapshot_observed_at":"2026-08-13T07:45:50.115969Z","submitted_at":"2025-06-03T15:50:55Z","title":"Coding Agents with Multimodal Browsing are Generalist Problem Solvers","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:15:56.902212Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2506.03011"},"observation_digest":"sha256:1802f239b98365505c90e9f26bf7a2d00a7889eb9e9ccdfe482f90c113a8fc7d","observation_id":"60487406-3dbd-4d39-8131-f7a0d77d5c8d","resolution":{"observed_at":"2026-08-07T11:15:56.902212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-07T05:27:50.033332Z","title":"Agentoccam: A simple yet strong baseline for llm-based web agents, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07976","last_updated":"2025-06-10T12:50:18Z","snapshot_observed_at":"2026-08-16T07:40:03.364615Z","submitted_at":"2025-06-09T17:50:02Z","title":"Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T05:27:50.033332Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2506.07976"},"observation_digest":"sha256:a818aaf8fedb228bcbefada622514a450d4dd516b18c9197e6fac8a669610867","observation_id":"f84bef39-2991-40df-b917-33be9f082d02","resolution":{"observed_at":"2026-08-07T05:27:50.033332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-06T23:59:59.024265Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents.arXiv preprint arXiv:2410.13825,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.17318","last_updated":"2025-06-18T14:29:02Z","snapshot_observed_at":"2026-08-12T19:14:55.433341Z","submitted_at":"2025-06-18T14:29:02Z","title":"Context manipulation attacks : Web agents are susceptible to corrupted memory","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:59:59.024265Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2506.17318"},"observation_digest":"sha256:a1e71431d1e215696755a7364ed880c88d547a29e03bd0baa269d9bc24f42a6b","observation_id":"62995c05-718c-492e-b6f1-297d1fe614b3","resolution":{"observed_at":"2026-08-06T23:59:59.024265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-06T21:26:43.028714Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-18T15:49:03.862096Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:43.028714Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:a077f5351e1112cf0baaa45f9eb1cb920090e04a2e7ea339bde6120534a41bbe","observation_id":"268b676b-2239-42ac-abdd-68fb6806af94","resolution":{"observed_at":"2026-08-06T21:26:43.028714Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-06T19:55:01.992561Z","title":"Agentoccam: A simple yet strong baseline for llm-based web agents, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.04370","last_updated":"2025-07-06T12:31:10Z","snapshot_observed_at":"2026-08-21T00:38:34.342511Z","submitted_at":"2025-07-06T12:31:10Z","title":"WebSynthesis: World-Model-Guided MCTS for Efficient WebUI-Trajectory Synthesis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:55:01.992561Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2507.04370"},"observation_digest":"sha256:5d9e7408e54faac94742c980dc2d8a95b0eff8050b4c1ca99f3d762001556430","observation_id":"804ee8f5-3cb5-47e3-9e94-bafc92746182","resolution":{"observed_at":"2026-08-06T19:55:01.992561Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-04T10:48:05.644648Z","title":"Agentoccam: A simple yet strong baseline for llm-based web agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.08558","last_updated":"2026-05-24T21:56:11Z","snapshot_observed_at":"2026-08-19T20:26:21.536116Z","submitted_at":"2025-10-09T17:59:17Z","title":"Agent Learning via Early Experience","version":3},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-04T10:48:05.644648Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2510.08558"},"observation_digest":"sha256:2b385d2f4771946b580ed96fcc60e244e2d29b9d13fd0f875af22290e5e67b4f","observation_id":"5c2919eb-8c15-4b23-84f5-4da8e101284e","resolution":{"observed_at":"2026-08-04T10:48:05.644648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-04T09:19:58.405633Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2510.19838","last_updated":"2026-06-16T02:29:48Z","snapshot_observed_at":"2026-08-13T01:22:50.255018Z","submitted_at":"2025-10-18T00:45:37Z","title":"Branch-and-Browse: Efficient and Controllable Web Exploration with Tree-Structured Reasoning and Action Memory","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-04T09:19:58.405633Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2510.19838"},"observation_digest":"sha256:c2edf72f7f94e53526dfc5180c7625f09d03f1dc8c959bfef0e707a5d3680342","observation_id":"b1eba6ae-7f4b-4aa7-977b-d93908e89dc8","resolution":{"observed_at":"2026-08-04T09:19:58.405633Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2510.23883","last_updated":"2026-04-03T16:27:34Z","snapshot_observed_at":"2026-08-13T20:52:15.127327Z","submitted_at":"2025-10-27T21:48:11Z","title":"Agentic AI Security: Threats, Defenses, Evaluation, and Open Challenges","version":3},"reference_index":164,"source":"pdf_text","source_observed_at":"2026-05-18T03:42:10.703369Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2510.23883"},"observation_digest":"sha256:adab89e8f4e89fe307544b4709ddaa17ea7d78200129eca435d659ea562fd623","observation_id":"24da4b89-7c1d-407c-b6c1-4dacc968e388","resolution":{"observed_at":"2026-05-18T03:42:22.244695Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-02T22:25:30.984881Z","title":"org/CorpusID:247411350","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.17003","last_updated":"2026-05-27T12:15:49Z","snapshot_observed_at":"2026-08-17T20:16:11.160243Z","submitted_at":"2026-02-19T01:54:26Z","title":"Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History","version":3},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-02T22:25:30.984881Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2602.17003"},"observation_digest":"sha256:12a7d4871a1266785f79ff521ed19a0e4ca4070fb639a3dcaf091277c315f75f","observation_id":"1e8e90f3-37f3-4adb-a0a7-b0ccaa292f50","resolution":{"observed_at":"2026-08-02T22:25:30.984881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2603.05044","last_updated":"2026-04-14T08:14:14Z","snapshot_observed_at":"2026-08-03T03:21:53.279816Z","submitted_at":"2026-03-05T10:51:34Z","title":"WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-15T16:50:02.527821Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2603.05044"},"observation_digest":"sha256:6a6f00754b9bdc3d25d172bbe2e5c2d2a1c187521d1a03d2c4202d91b4541928","observation_id":"ee398a03-8f80-4c4a-afc7-5389140daa79","resolution":{"observed_at":"2026-05-15T16:50:10.613273Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2605.16565","last_updated":"2026-05-19T13:45:27Z","snapshot_observed_at":"2026-08-15T00:17:28.145495Z","submitted_at":"2026-05-15T19:12:43Z","title":"Skim: Speculative Execution for Fast and Efficient Web Agents","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-20T18:31:18.061863Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2605.16565"},"observation_digest":"sha256:b023f6fecd72118368a65edc4d76b8a62bedf4d71377340eaed4e1b2c91018d0","observation_id":"e1800e34-f834-4837-a27f-d0c8031c0604","resolution":{"observed_at":"2026-05-20T18:33:38.019161Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2605.23939","last_updated":"2026-04-28T11:39:20Z","snapshot_observed_at":"2026-08-16T07:06:03.776718Z","submitted_at":"2026-04-28T11:39:20Z","title":"DRIVE: Modeling Skills at the Reasoning and Interaction Levels for Web Agents under Continual Learning","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-01T09:01:22.412685Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2605.23939"},"observation_digest":"sha256:8f0334cf82037eb0ffdee915e1b323b41618c049ef4327a9ec5a8a8c9b3c5ada","observation_id":"cfd07085-50d7-4e0c-a7e7-eeb40a6339b3","resolution":{"observed_at":"2026-07-01T09:05:36.650750Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2606.17645","last_updated":"2026-06-16T08:04:35Z","snapshot_observed_at":"2026-08-14T23:17:26.349285Z","submitted_at":"2026-06-16T08:04:35Z","title":"Beyond Domains: Reusing Web Skills via Transferable Interaction Patterns","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-27T01:11:42.281859Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2606.17645"},"observation_digest":"sha256:ad2e8c66a1da6fe38910e0db4f90a5ffeb64697ccdcce8d0b17f1804b2e0d0d3","observation_id":"1e89b706-899c-4fba-ad84-2adaba3e9b3f","resolution":{"observed_at":"2026-07-03T20:48:55.542745Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2606.20683","last_updated":"2026-06-14T05:40:16Z","snapshot_observed_at":"2026-08-17T01:43:03.923615Z","submitted_at":"2026-06-14T05:40:16Z","title":"From Question Answering to Task Completion: A Survey on Agent System and Harness Design","version":1},"reference_index":253,"source":"pdf_text","source_observed_at":"2026-06-27T04:40:30.985824Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2606.20683"},"observation_digest":"sha256:5aa034f47ebe35bbed3085ccb2bd584a6a3957f102f71ff99b3dd4d44e6916ea","observation_id":"22877713-f2bf-460d-bead-5e75d7323ffd","resolution":{"observed_at":"2026-07-03T17:08:43.013810Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2607.00007","last_updated":"2026-07-02T06:17:26Z","snapshot_observed_at":"2026-08-19T05:41:08.868240Z","submitted_at":"2026-05-02T08:09:10Z","title":"BaRA: Budget-constrained and Reliable Web Data Collection Agent","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-07-04T01:57:33.329412Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2607.00007"},"observation_digest":"sha256:b60e2e9c68f15f4ae55c349d441ce5db36cdb0420807542141a92619436c5479","observation_id":"f94a26f4-d3a5-48f3-9452-deb5ed8d3a3e","resolution":{"observed_at":"2026-07-04T01:59:24.692300Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":"2410.13825","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-10T12:27:04.223243Z","title":"Agentoccam: A sim- ple yet strong baseline for llm-based web agents","venue":"cs.AI","work_id":"cfabb93e-6ac9-4c7e-ba4c-8b75487c92cb","year":2024},"citing_paper":{"arxiv_id":"2607.08147","last_updated":"2026-07-09T06:37:52Z","snapshot_observed_at":"2026-08-07T03:47:57.753615Z","submitted_at":"2026-07-09T06:37:52Z","title":"Prismata: Confining Cross-Site Prompt Injection in Web Agents","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-07-10T12:20:03.672480Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2607.08147"},"observation_digest":"sha256:b15fc5a026c80305b47a29e8c11b1a0ff2e3aaaa08676958481afcc8f088a7d2","observation_id":"ab21f29e-908f-42b6-ac87-4314f602e0c3","resolution":{"observed_at":"2026-07-10T12:27:04.224423Z","resolver_source":"local_arxiv","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-07-13T05:40:26.231504Z","title":"Agentoccam: A simple yet strong baseline for llm-based web agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.08938","last_updated":"2026-07-09T21:08:01Z","snapshot_observed_at":"2026-08-14T07:49:48.013100Z","submitted_at":"2026-07-09T21:08:01Z","title":"Better Harnesses, Smaller Models: Building 90% Cheaper Agents via Automated Harness Adaptation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-13T05:40:26.231504Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2607.08938"},"observation_digest":"sha256:9779570e365389291d9c7b94efbaeff8a39253ea02a87b61faaa55017d028e05","observation_id":"c624eac5-d5bf-4392-b8fb-17fb164f76c1","resolution":{"observed_at":"2026-07-13T05:40:26.231504Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-01T06:04:46.351999Z","title":"arXiv preprint arXiv:2410.13825 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.22024","last_updated":"2026-07-24T06:43:09Z","snapshot_observed_at":"2026-08-19T15:11:45.598738Z","submitted_at":"2026-07-24T06:43:09Z","title":"Agent Security Needs Redefinition through a Holistic Framework","version":1},"reference_index":216,"source":"arxiv_source","source_observed_at":"2026-08-01T06:04:46.351999Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2607.22024"},"observation_digest":"sha256:49dcf927d0b2ff9b46fba599681dea5dedb017e7b9ce11382428756501f9d628","observation_id":"baab6bce-cea4-4e55-a789-91272bb39f8b","resolution":{"observed_at":"2026-08-01T06:04:46.351999Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-05T16:22:50.688728Z","title":"Agentoccam: A simple yet strong baseline for llm-based web agents,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.03598","last_updated":"2026-08-04T12:50:43Z","snapshot_observed_at":"2026-08-20T04:40:02.764909Z","submitted_at":"2026-08-04T12:50:43Z","title":"From Bug Reports to Browser-Executable Procedures: An LLM-Driven Agent for Web GUI Bug Reproduction","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-05T16:22:50.688728Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2608.03598"},"observation_digest":"sha256:f4da801d6c7ecdff0a119e5810359c1ab42fda8cd24d4096cfdb709351de8671","observation_id":"2b983a58-3f0e-45d5-810f-36d9b06b4911","resolution":{"observed_at":"2026-08-05T16:22:50.688728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-07T13:35:53.158761Z","title":"The Thirteenth International Conference on Learning Representations , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.06171","last_updated":"2026-08-06T15:37:04Z","snapshot_observed_at":"2026-08-18T02:42:49.419014Z","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":33,"source":"arxiv_source","source_observed_at":"2026-08-07T13:35:53.158761Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2608.06171"},"observation_digest":"sha256:f888889a4c1bff087c0fca6f7431e03c88089f7ba5a8a39803e84820039e291b","observation_id":"bcca8afe-017a-4e09-a422-175e646a6a3e","resolution":{"observed_at":"2026-08-07T13:35:53.158761Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based Web Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.13825","snapshot_observed_at":"2026-08-11T20:19:16.229270Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09278","last_updated":"2026-08-10T08:33:19Z","snapshot_observed_at":"2026-08-19T18:01:00.178588Z","submitted_at":"2026-08-10T08:33:19Z","title":"Software Engineering for and with GUI Agent","version":1},"reference_index":297,"source":"pdf_text","source_observed_at":"2026-08-11T20:19:16.229270Z"},"links":{"cited_paper":"/paper/2410.13825","citing_paper":"/paper/2608.09278"},"observation_digest":"sha256:e712ee6bc9f94fc28436bbb9dd4964b2e21909ad5ab2f555d2c5023e6bbbbd5a","observation_id":"6f441ac7-811f-4463-9ecb-0c753995139b","resolution":{"observed_at":"2026-08-11T20:19:16.229270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2410.13825/citation-record","integrity":"/paper/2410.13825/integrity","json":"/paper/2410.13825/citation-record.json","paper":"/paper/2410.13825"},"outbound":[],"paper":{"arxiv_id":"2410.13825","last_updated":"2025-05-24T03:55:22Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-18T10:17:03.835277Z","submitted_at":"2024-10-17T17:50:38Z","title":"AgentOccam: A Simple Yet Strong Baseline for LLM-Based 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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 inbound Pith citation observations for arXiv:2410.13825."}