{"as_of":"2026-08-09T00:45:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2d944db82594e759eeaa6f78321e21d57d89de6f88ef76e2f5f75658ae53d56c","coverage":[{"denominator":48,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":48,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T22:48:32.336881Z","state":"measured"},{"denominator":48,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":48,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.04530/citation-record","integrity":"/paper/2608.04530/integrity","json":"/paper/2608.04530/citation-record.json","paper":"/paper/2608.04530"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2511.21631","last_updated":"2025-11-27T12:16:54Z","snapshot_observed_at":"2026-07-06T22:37:03.716474Z","submitted_at":"2025-11-26T17:59:08Z","title":"Qwen3-VL Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.21631","snapshot_observed_at":"2026-08-06T22:48:26.388569Z","title":"Qwen3-vl technical report.arXiv preprint arXiv:2511.21631, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:26.388569Z"},"links":{"cited_paper":"/paper/2511.21631","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:b878d2cae5c901f2e7c9fbc73e8a1abe54b1cbba4a89c5e7b1e675605e55c03b","observation_id":"b969fc93-71c9-4ed1-9bfc-d95e9366a383","resolution":{"observed_at":"2026-08-06T22:48:26.388569Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.24168","last_updated":"2026-04-14T04:34:20Z","snapshot_observed_at":"2026-07-06T22:34:13.674208Z","submitted_at":"2025-10-28T08:19:58Z","title":"MGA: Memory-Driven GUI Agent for Observation-Centric Interaction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.24168","snapshot_observed_at":"2026-08-06T22:48:26.467459Z","title":"Mga: Memory-driven gui agent for observation- centric interaction.arXiv preprint arXiv:2510.24168, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:26.467459Z"},"links":{"cited_paper":"/paper/2510.24168","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:b1b9a6c36329ebfa528ef0312a0c6a2141af7a6bb52765f13bdb3c2017cf49c7","observation_id":"4cc2d4ee-8824-4604-8a68-ee377abeb071","resolution":{"observed_at":"2026-08-06T22:48:26.467459Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:37.871227Z","title":"Adapting language models to compress con- texts","venue":null,"work_id":"96dc66bf-e9df-4e7d-ba31-d17b89912922","year":2023},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:26.592441Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:f6fc60d4e2502b624059927de7f06f4242366c8fa9298930f2420209bb458993","observation_id":"a728a5de-d6b3-4c47-8ff7-0e92e5244683","resolution":{"observed_at":"2026-08-06T22:48:38.014244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:37.640760Z","title":"Naive visual memory is not enough: A failure-mode study of gui agents, 2026","venue":null,"work_id":"64e809e8-b85b-4870-8d62-a90a25b91b8a","year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:26.719021Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:a1d9612705cc4783fa05831f3223db91338fe1a8dea8f9730f32009bc9181691","observation_id":"1dab08ce-497e-45ef-8808-91a60fa8d469","resolution":{"observed_at":"2026-08-06T22:48:37.760216Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.06500","last_updated":"2023-06-15T08:00:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-11T00:38:10Z","title":"InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.06500","snapshot_observed_at":"2026-08-06T22:48:26.891168Z","title":"InstructBLIP: Towards general- purpose vision-language models with instruction tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:26.891168Z"},"links":{"cited_paper":"/paper/2305.06500","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:23753fbbaccb324fcf04269d7edcddb52edb8bcdbf2a878c94c2bad6ad63d70a","observation_id":"48c8ace7-427b-4187-9036-7bee1620cb3e","resolution":{"observed_at":"2026-08-06T22:48:26.891168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:37.414506Z","title":"Memp: Exploring agent procedural memory","venue":null,"work_id":"1383bb20-dfdb-4c77-8129-0529fb7e9c22","year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.020833Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:7c9d34894a9e280354d74bc5f017e81dc8c56baaab357c8417214d4bf5446117","observation_id":"4ec0cda1-4876-4584-9222-8535ba91dbbf","resolution":{"observed_at":"2026-08-06T22:48:37.513830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:37.193392Z","title":"In-context autoencoder for context compression in a large language model","venue":null,"work_id":"e46777aa-d752-44cc-b154-5ab09d448219","year":2024},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.171139Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:f9587b62de3167383d7c5a6dbfd0812c433b46d0f7ccffc0bf01a77bf38c2736","observation_id":"857b978a-7743-4c45-a443-848b5057420f","resolution":{"observed_at":"2026-08-06T22:48:37.292650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.05243","last_updated":"2025-06-17T15:06:02Z","snapshot_observed_at":"2026-07-06T19:29:09.714725Z","submitted_at":"2024-10-07T17:47:50Z","title":"Navigating the Digital World as Humans Do: Universal Visual Grounding for GUI Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.05243","snapshot_observed_at":"2026-08-06T22:48:27.324640Z","title":"Navigating the digital world as humans do: Universal visual grounding for gui agents.arXiv preprint arXiv:2410.05243, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.324640Z"},"links":{"cited_paper":"/paper/2410.05243","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:1f8d3ecd639e5016aa4ad7b438cab4fd9985492e1ff8060388a345bb0eb22bc4","observation_id":"92b7f66f-393f-4adf-b274-ae37dfb479ec","resolution":{"observed_at":"2026-08-06T22:48:27.324640Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.08516","last_updated":"2026-04-09T17:54:02Z","snapshot_observed_at":"2026-07-06T22:57:35.435713Z","submitted_at":"2026-04-09T17:54:02Z","title":"MolmoWeb: Open Visual Web Agent and Open Data for the Open Web","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.08516","snapshot_observed_at":"2026-08-06T22:48:27.430902Z","title":"Molmoweb: Open visual web agent and open data for the open web.arXiv preprint arXiv:2604.08516, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.430902Z"},"links":{"cited_paper":"/paper/2604.08516","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:2da64b4df1b1e71b98ecd1a16a34563e985e714ad56dab51d0f1aeb6d6a0c772","observation_id":"f056a889-98df-47cf-a2ef-3bf7a4a59eed","resolution":{"observed_at":"2026-08-06T22:48:27.430902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13919","last_updated":"2024-06-06T18:37:34Z","snapshot_observed_at":"2026-08-07T11:03:34.753698Z","submitted_at":"2024-01-25T03:33:18Z","title":"WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13919","snapshot_observed_at":"2026-08-06T22:48:27.542822Z","title":"We- bvoyager: Building an end-to-end web agent with large mul- timodal models.arXiv preprint arXiv:2401.13919, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.542822Z"},"links":{"cited_paper":"/paper/2401.13919","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:11a6085cb3b02a9dcd84c36edc8ee3f1f95c82cbdd968e142e207f6910a6397f","observation_id":"f7276bf5-0b81-41fa-8235-e2ebe8028b13","resolution":{"observed_at":"2026-08-06T22:48:27.542822Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:37.026580Z","title":"Hiagent: Hierarchical working memory management for solving long-horizon agent tasks with large language model","venue":null,"work_id":"3ee32f22-d63f-4900-a22e-a10b1ba64a3e","year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.672690Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:918f9adc6a9c55d0e636280359505bfd77ca0b790247c6ba415b741203de4f45","observation_id":"a6b0e01b-1776-4c15-bbef-b511a0b31e37","resolution":{"observed_at":"2026-08-06T22:48:37.114228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.13564","snapshot_observed_at":"2026-08-06T22:48:27.750420Z","title":"Memory in the age of ai agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.750420Z"},"links":{"cited_paper":"/paper/2512.13564","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:6491193d8cb231b630ca79859c6d89883e04b60df8ff14442a1685628c2b0266","observation_id":"ca16d93f-e42f-4504-accf-6fd603310a96","resolution":{"observed_at":"2026-08-06T22:48:27.750420Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.19396","last_updated":"2026-04-10T06:20:00Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-22T13:42:18Z","title":"EchoTrail-GUI: Building Actionable Memory for GUI Agents via Critic-Guided Self-Exploration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.19396","snapshot_observed_at":"2026-08-06T22:48:27.905623Z","title":"Echotrail-gui: Build- ing actionable memory for gui agents via critic-guided self- exploration.arXiv preprint arXiv:2512.19396, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:27.905623Z"},"links":{"cited_paper":"/paper/2512.19396","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:8865d9ebcd7f13f062f4958477892de1bc562eeaed9f31f22f8e80439f9e98e8","observation_id":"c8025be1-b8dc-4782-8006-e8ee535196d7","resolution":{"observed_at":"2026-08-06T22:48:27.905623Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:36.825809Z","title":"What memory do gui agents really need? from passive records to active task-driving states, 2026","venue":null,"work_id":"a210823a-d4c3-41ee-8a93-8e7e63142a36","year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.040033Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:1db3ac6c92492e0889f3a461d50f4e3ca5a8f44d85b0a98ffa1273b7cd7c574f","observation_id":"f282db1e-cf38-4d3b-844c-097346fac022","resolution":{"observed_at":"2026-08-06T22:48:36.926134Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.03172","last_updated":"2023-11-20T23:09:34Z","snapshot_observed_at":"2026-07-06T15:51:12.179086Z","submitted_at":"2023-07-06T17:54:11Z","title":"Lost in the Middle: How Language Models Use Long Contexts","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03172","snapshot_observed_at":"2026-08-06T22:48:28.152821Z","title":"Lost in the middle: How language models use long contexts.arXiv preprint arXiv:2307.03172, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.152821Z"},"links":{"cited_paper":"/paper/2307.03172","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:b10c2b347d806c3527e978b8ab091f5145d77dc5d69b5a17a8cfc2dbd85b54ae","observation_id":"45a3e599-c161-4084-9239-895cb5b8e1be","resolution":{"observed_at":"2026-08-06T22:48:28.152821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_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},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.02839","snapshot_observed_at":"2026-08-06T22:48:28.269873Z","title":"Deepshop: A bench- mark for deep research shopping agents.arXiv preprint arXiv:2506.02839, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.269873Z"},"links":{"cited_paper":"/paper/2506.02839","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:2b009709b1982e1ba9134adbd02f8699865e01bee6238b149ca65e1092f0d285","observation_id":"0c6a1a4a-684c-4336-bf56-4b834e3e027d","resolution":{"observed_at":"2026-08-06T22:48:28.269873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:36.646262Z","title":"Learning to compress prompts with gist tokens.Advances in Neural Information Processing Systems, 36, 2023","venue":null,"work_id":"14778fb8-69c8-4e2d-bf4e-c1a1793da7ef","year":2023},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.394750Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:5aba4359832e8fd41f0b19f58bf9f21bc11ea87c84313e6a6698398c2ef9856d","observation_id":"b824dce9-a158-49bf-8beb-d93f5a9b1750","resolution":{"observed_at":"2026-08-06T22:48:36.750808Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:36.502195Z","title":"Gui agents: A survey","venue":null,"work_id":"6866c4ff-925f-4045-a741-8c39a7f7719a","year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.497181Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:549c6ba269843cacc08b9fd5f7bc1ab96251c735a61d67387f6d56ad268ad8fe","observation_id":"68823534-4c87-4822-99ee-84dff7987b21","resolution":{"observed_at":"2026-08-06T22:48:36.573632Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2509.25140","last_updated":"2026-03-16T20:49:28Z","snapshot_observed_at":"2026-08-02T12:08:17.149184Z","submitted_at":"2025-09-29T17:51:03Z","title":"ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.25140","snapshot_observed_at":"2026-08-06T22:48:28.639203Z","title":"Le, Samira Daruki, Xi- angru Tang, Vishy Tirumalashetty, George Lee, Mahsan Ro- fouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, and Tomas Pfister","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.639203Z"},"links":{"cited_paper":"/paper/2509.25140","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:63db90cb91aa78defeb765b7487c51a4906a56968d960192cc11d7f5f01542ef","observation_id":"b16b2441-bc7d-40f8-83b9-b2f109305805","resolution":{"observed_at":"2026-08-06T22:48:28.639203Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:36.350809Z","title":"Executable agentic memory for gui agent, 2026","venue":null,"work_id":"eb99cd06-faae-428a-9332-86e3793dec86","year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.790084Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:732d05bb670f1ef9f51d70a51624219f0962b30c0d5d6ffaf5b99beebb9462e6","observation_id":"591092f0-b511-4a53-ab97-80f66279f652","resolution":{"observed_at":"2026-08-06T22:48:36.411791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2607.07608","last_updated":"2026-07-08T16:26:06Z","snapshot_observed_at":"2026-07-11T23:20:16.411671Z","submitted_at":"2026-07-08T16:26:06Z","title":"Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation","version":1},"cited_work":{"arxiv_id":"2607.07608","doi":null,"metadata_source":"pith","pith_arxiv_id":"2607.07608","snapshot_observed_at":"2026-08-06T22:48:33.298230Z","title":"Dual Latent Memory in Vision-Language-Action Models for Robotic Manipulation","venue":"cs.RO","work_id":"c8d05f19-3605-4fa5-8d97-7a249a379e6f","year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:28.878006Z"},"links":{"cited_paper":"/paper/2607.07608","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:02aaf85a788cd007f3064c4906b35d47b8a22b36c3ee8109a761288c463af3b9","observation_id":"dd020876-d68a-4447-9842-82d6d3bf1c40","resolution":{"observed_at":"2026-08-06T22:48:33.383515Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.19236","last_updated":"2026-01-30T13:36:22Z","snapshot_observed_at":"2026-07-06T22:19:00.152099Z","submitted_at":"2025-08-26T17:57:16Z","title":"MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.19236","snapshot_observed_at":"2026-08-06T22:48:29.015236Z","title":"Memoryvla: Perceptual-cognitive memory in vision-language-action models for robotic manipulation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.015236Z"},"links":{"cited_paper":"/paper/2508.19236","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:5a3d5ecb48e9f6b3f1f130706a593078573f02bdd38759891b42e3a4fa1b07c0","observation_id":"04be247f-c939-47ed-b8a0-5cb504036d07","resolution":{"observed_at":"2026-08-06T22:48:29.015236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:29.203617Z","title":"Androtmem: From interaction trajecto- ries to anchored memory in long-horizon gui agents.arXiv preprint arXiv:2603.18429, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.203617Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:5da074f3ed0d1272a59fc26a86378c757b35ba90a94124d84325afb4474067cd","observation_id":"6dd0b63d-a3b7-4eb9-a189-2cee9e9bdcd3","resolution":{"observed_at":"2026-08-06T22:48:29.203617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:36.179139Z","title":"Mmina: Benchmarking multihop multimodal internet agents","venue":null,"work_id":"4a0a6fda-4d3d-4b60-80c2-135d98741188","year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.358989Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:c2b1b551638aeafe6d874fc1d90e22a5c6db973fc4f94424ba0244bdb189b6a4","observation_id":"2bd96b86-c025-4bc3-bd7c-b13993431131","resolution":{"observed_at":"2026-08-06T22:48:36.261895Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:35.987488Z","title":"Stamp: Training explicit memory for mobile gui agents in controllable and scalable virtual environments, 2026","venue":null,"work_id":"1d8f27c0-1354-462b-b3d0-0eeea9c82ffb","year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.511585Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:b2269598f772cb5cdeb02076c0dce93cfcd6a0124b904261aa0f4ddca7ea37af","observation_id":"de172352-c070-4d48-ad72-365c758533ab","resolution":{"observed_at":"2026-08-06T22:48:36.073851Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:35.759297Z","title":"History-aware rea- soning for gui agents, 2025","venue":null,"work_id":"8585cb56-1e54-483c-a523-f1d9abce2f15","year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.619605Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:d0dba3c5ad0ee3df6361b88c533b25dee81b425c884b495eb8fae9b4a2963e60","observation_id":"7d5e59c7-2aaf-4274-a0cd-aa937b1d465c","resolution":{"observed_at":"2026-08-06T22:48:35.896036Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.07429","last_updated":"2024-09-11T17:21:00Z","snapshot_observed_at":"2026-08-07T15:35:11.892405Z","submitted_at":"2024-09-11T17:21:00Z","title":"Agent Workflow Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.07429","snapshot_observed_at":"2026-08-06T22:48:29.725411Z","title":"Agent workflow memory.arXiv preprint arXiv:2409.07429, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.725411Z"},"links":{"cited_paper":"/paper/2409.07429","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:c43db1a341d4d3b1de5426716dfe5f425a67270205b971f3d95364776110699f","observation_id":"5c44d099-52f2-4cab-851d-890679b579ef","resolution":{"observed_at":"2026-08-06T22:48:29.725411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:29.843385Z","title":"Auto-scaling continu- ous memory for gui agent.arXiv preprint arXiv:2510.09038,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.843385Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:1b671e4b2dd0bcb599af9ae216ded50b6c011de9b6d6e8578ff08ccb809965d3","observation_id":"f4295d59-dc35-4f13-89ce-5f800894d808","resolution":{"observed_at":"2026-08-06T22:48:29.843385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2504.15965","last_updated":"2025-04-23T13:47:27Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-22T15:05:04Z","title":"From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.15965","snapshot_observed_at":"2026-08-06T22:48:29.946654Z","title":"From human memory to ai memory: A survey on memory mechanisms in the era of llms.arXiv preprint arXiv:2504.15965, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:29.946654Z"},"links":{"cited_paper":"/paper/2504.15965","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:6d7aa03ed48ec499b72e0538cecea917215a90d8acb0a8c253078af1234af1b7","observation_id":"43d537ed-8d0e-4796-804d-43ec22933caf","resolution":{"observed_at":"2026-08-06T22:48:29.946654Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:30.047986Z","title":"An illusion of progress? assessing the current state of web agents.arXiv preprint arXiv:2504.01382, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.047986Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:37a5cf16e684d3907280eec7a4b2065f8e0f92727dc68808fe95ab31983e610b","observation_id":"31135592-3b03-45bb-bfc9-8850a210b8d4","resolution":{"observed_at":"2026-08-06T22:48:30.047986Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:30.140593Z","title":"Vismem: Latent vision memory unlocks potential of vision-language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.140593Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:8592e3c3fedaf9a94fbea178417ce6992a35eea06a4e2120979c4fb742fa6441","observation_id":"cc89fa6c-f37c-4fdb-96ac-5ea65f26d026","resolution":{"observed_at":"2026-08-06T22:48:30.140593Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.18652","last_updated":"2026-05-18T16:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-05-18T16:57:36Z","title":"MementoGUI: Learning Agentic Multimodal Memory Control for Long-Horizon GUI Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.18652","snapshot_observed_at":"2026-08-06T22:48:30.293461Z","title":"Mementogui: Learning agentic mul- timodal memory control for long-horizon gui agents.arXiv preprint arXiv:2605.18652, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.293461Z"},"links":{"cited_paper":"/paper/2605.18652","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:f9d1c7699b2231a0a3b29c8ff87b34fc5ad2961971025a8e5bd212f4b8e2f382","observation_id":"3d8ee056-34d2-48c3-bfdc-d22a741a7407","resolution":{"observed_at":"2026-08-06T22:48:30.293461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:30.416472Z","title":"Memgen: Weaving generative latent memory for self-evolving agents","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.416472Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:fda772526dbdb203353620e0c429b0df21af802cecec91d6974c75d1fc20b99b","observation_id":"8e80af4e-600b-4ce2-a309-79c4d4f5d43a","resolution":{"observed_at":"2026-08-06T22:48:30.416472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.09317","last_updated":"2026-05-10T04:31:23Z","snapshot_observed_at":"2026-08-01T02:53:20.108545Z","submitted_at":"2026-05-10T04:31:23Z","title":"Mem-W: Latent Memory-Native GUI Agents","version":1},"cited_work":{"arxiv_id":"2605.09317","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.09317","snapshot_observed_at":"2026-08-06T22:48:32.617875Z","title":"Mem-W: Latent Memory-Native GUI Agents","venue":"cs.CL","work_id":"83bc12ce-0ae1-426c-8ddc-b3d5dd64e774","year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.575456Z"},"links":{"cited_paper":"/paper/2605.09317","citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:dc40d1b0409fc49520f3d6be67fd9e99e7e1d800850c63e4ede9fa72d8997b4b","observation_id":"77621ae5-45a1-475b-99de-0d2b94e3d5b4","resolution":{"observed_at":"2026-08-06T22:48:32.699428Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:35.623693Z","title":"A survey on the memory mechanism of large language model- based agents.ACM Transactions on Information Systems, 43 (6):1–47, 2025","venue":null,"work_id":"fc221528-4358-4206-8110-0cff34e01721","year":2025},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.734510Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:be1b877211035cb5daa3132d4bccea4029127c4d2ec31880e55d2bf27669a73b","observation_id":"083919aa-cc26-434b-b9ce-16abe65ba482","resolution":{"observed_at":"2026-08-06T22:48:35.705082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:35.463250Z","title":"Expel: Llm agents are ex- periential learners","venue":null,"work_id":"2ed1c7ed-6f06-486f-a563-a63776ef5470","year":2024},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.859235Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:accaa52d48bb21d8cebfc55562b9fefc1082a31e372e30ccc13c6522c5039d28","observation_id":"7993e1fe-717a-4878-8dda-2906466c04d8","resolution":{"observed_at":"2026-08-06T22:48:35.556615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:30.929050Z","title":"progress summary","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:30.929050Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:a9c81e2ecc5d692a6cbe538ded04f207d97a67a75a113780aa82af12de23bc2a","observation_id":"959544f5-7648-4686-acb8-fb4efa5edd95","resolution":{"observed_at":"2026-08-06T22:48:30.929050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T22:48:35.288304Z","title":null,"venue":null,"work_id":"f32a2aed-0495-4398-a3d7-bb30b153d739","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.061922Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:7d6313bd1c49e3399b40d0b02d4b51977e6b29c7a0a64689fce339f71796ac81","observation_id":"dd807043-99b6-4f2a-82db-e1b8ed9ff8b2","resolution":{"observed_at":"2026-08-06T22:48:35.360662Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:35.151874Z","title":null,"venue":null,"work_id":"e6b407be-216e-49b0-be98-5544754630d5","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.167435Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:be1f75791bd1192ff9e3e0621ed6d68b73cbe3b52408a9309a4a611b5c92c9cc","observation_id":"959f4834-09b3-4024-b029-b4d63d5e9f5c","resolution":{"observed_at":"2026-08-06T22:48:35.217448Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:34.993390Z","title":"I'm sorry, I can't answer that question","venue":null,"work_id":"4f8afba9-efec-4728-b083-b34920b43a10","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.320095Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:fd994f1f43f7643c4c71bbdc4431506ec7e4754f4975f41938fa47cf6c4cc675","observation_id":"ab283bbc-a0a0-4ed0-b5f7-a0141c276da3","resolution":{"observed_at":"2026-08-06T22:48:35.070508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:34.781758Z","title":null,"venue":null,"work_id":"db91ec58-268f-46fd-8bc1-c83a7bd84a45","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.465762Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:b3fa067ea6b999dd8dd3ac1080690b5a6638a6b8702fd1d93863eeac9ead4f40","observation_id":"01660b08-c0ee-41e8-86e3-99c24da9baee","resolution":{"observed_at":"2026-08-06T22:48:34.892695Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:34.632678Z","title":null,"venue":null,"work_id":"2a7a1428-0467-4137-bf67-df063a41c9da","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.592770Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:9c81adaaed468c10a87ba9492b8851ff14a0b6f9b64afa7b3b02109b1677d381","observation_id":"e7a902e5-66c7-4065-9e42-ba208c003eab","resolution":{"observed_at":"2026-08-06T22:48:34.709903Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:34.443246Z","title":null,"venue":null,"work_id":"453c9693-b9fa-4fb5-9ac3-709005b1a7d1","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.713959Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:a50f2e951eb958fb19e7883aa7d7f1a13a5e95b10f98721e694e6a4a4ccfbdf1","observation_id":"14b544d1-95ad-462d-9f5c-972266318552","resolution":{"observed_at":"2026-08-06T22:48:34.531599Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:34.224516Z","title":null,"venue":null,"work_id":"262da84e-72ab-4bc8-8032-a26d65914f73","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.834724Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:645a16970055944925d25a3ba70240693b1070b119fb8a9e35c27a7312413631","observation_id":"a2d7eb6c-a29d-4eac-aabd-0ca1f7b18029","resolution":{"observed_at":"2026-08-06T22:48:34.317951Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:34.093268Z","title":"best,\" \"highest,","venue":null,"work_id":"0ffc9e4d-029d-4bc0-a42c-148e53301d48","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:31.974015Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:00f93b594b1169bbe0005ff660324024ccf1907911a6b18e14a7e645a2bb2fa0","observation_id":"e15eb1e8-313b-4751-9a98-69184cd0f252","resolution":{"observed_at":"2026-08-06T22:48:34.163524Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:33.885124Z","title":null,"venue":null,"work_id":"763de342-1395-4811-9e66-66e4703eaa5b","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:32.115416Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:d4a714161baa15b37f602d26835196bd8206e4aa083def431f2a3f64fcac78f3","observation_id":"b1cf6b67-076f-4251-9c16-0e90a70e4f4d","resolution":{"observed_at":"2026-08-06T22:48:33.988561Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:33.698144Z","title":null,"venue":null,"work_id":"e25775d9-64f9-4e93-a047-393628eff241","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:32.201996Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:0fd59ce3a28f1f56680c63faebbe674772e75dbb9e261ea74defd36f0370e956","observation_id":"a6550d07-d0fc-43e9-9c0d-1e62a213e254","resolution":{"observed_at":"2026-08-06T22:48:33.790571Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T22:48:33.595997Z","title":"best/cheapest/latest","venue":null,"work_id":"7b28af8b-b22f-45bc-a16e-f55c60d9876f","year":null},"citing_paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-06T22:48:32.336881Z"},"links":{"citing_paper":"/paper/2608.04530"},"observation_digest":"sha256:7b14c73b038e27643f88031ba5e4d6a9ada5f9e31d2407d0d74e8e213464d54b","observation_id":"6222e8e6-b0d2-47b3-9ac9-1f3a9c52b490","resolution":{"observed_at":"2026-08-06T22:48:33.617455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.04530","last_updated":"2026-08-05T07:02:30Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T23:11:51.393661Z","submitted_at":"2026-08-05T07:02:30Z","title":"FocusMem: Factorizing Content, Readout, and Trust in Latent GUI Memory"},"reference_resolution":{"displayed":48,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":28,"verified_exact":2,"verified_fuzzy":17},"total_outbound_references":48},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.04530."}