{"as_of":"2026-08-14T07:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8af4357d77ad087b1e11f9f9f13edbbbe6098d039b9b367a6642c32e60bb57f6","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:19:15.765166Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.03700","last_updated":"2025-09-11T14:28:11Z","snapshot_observed_at":"2026-08-09T18:37:25.673497Z","submitted_at":"2025-07-19T12:33:43Z","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning","version":5},"cited_work":{"arxiv_id":"2508.03700","doi":"10.48550/arxiv.2508.03700","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.03700","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Magicgui: A foundational mobile gui agent with scalable data pipeline and reinforcement fine-tuning","venue":"arXiv (Cornell University)","work_id":"ce9bb427-4488-47d4-b0a3-b4f13d6da524","year":2025},"citing_paper":{"arxiv_id":"2604.02345","last_updated":"2026-02-11T17:02:38Z","snapshot_observed_at":"2026-08-11T14:14:00.654472Z","submitted_at":"2026-02-11T17:02:38Z","title":"UI-Oceanus: Scaling GUI Agents with Synthetic Environmental Dynamics","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-05-16T02:59:27.807789Z"},"links":{"cited_paper":"/paper/2508.03700","citing_paper":"/paper/2604.02345"},"observation_digest":"sha256:aed61e67a1797c83281bc1594c7004e34208fb81718d410ed9cb57cbfd546519","observation_id":"0a689686-11e9-4ce2-9a29-a52351880ccb","resolution":{"observed_at":"2026-05-16T03:00:31.549904Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.03700","last_updated":"2025-09-11T14:28:11Z","snapshot_observed_at":"2026-08-09T18:37:25.673497Z","submitted_at":"2025-07-19T12:33:43Z","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning","version":5},"cited_work":{"arxiv_id":"2508.03700","doi":"10.48550/arxiv.2508.03700","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.03700","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Magicgui: A foundational mobile gui agent with scalable data pipeline and reinforcement fine-tuning","venue":"arXiv (Cornell University)","work_id":"ce9bb427-4488-47d4-b0a3-b4f13d6da524","year":2025},"citing_paper":{"arxiv_id":"2604.09442","last_updated":"2026-04-10T15:58:31Z","snapshot_observed_at":"2026-07-06T22:58:17.167367Z","submitted_at":"2026-04-10T15:58:31Z","title":"UIPress: Bringing Optical Token Compression to UI-to-Code Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-10T17:21:32.024105Z"},"links":{"cited_paper":"/paper/2508.03700","citing_paper":"/paper/2604.09442"},"observation_digest":"sha256:3cba4f68db5bb8c6ca9338f7421fbd8130e5428aef01ef606d6dd063e9fc41c3","observation_id":"a8637acc-0417-4f6b-83c8-3be977f29da1","resolution":{"observed_at":"2026-05-11T07:00:59.427973Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.03700","last_updated":"2025-09-11T14:28:11Z","snapshot_observed_at":"2026-08-09T18:37:25.673497Z","submitted_at":"2025-07-19T12:33:43Z","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning","version":5},"cited_work":{"arxiv_id":"2508.03700","doi":"10.48550/arxiv.2508.03700","metadata_source":"arxiv_reference","pith_arxiv_id":"2508.03700","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Magicgui: A foundational mobile gui agent with scalable data pipeline and reinforcement fine-tuning","venue":"arXiv (Cornell University)","work_id":"ce9bb427-4488-47d4-b0a3-b4f13d6da524","year":2025},"citing_paper":{"arxiv_id":"2605.11223","last_updated":"2026-05-11T20:33:48Z","snapshot_observed_at":"2026-07-06T23:23:06.755816Z","submitted_at":"2026-05-11T20:33:48Z","title":"Do Vision-Language-Models show human-like logical problem-solving capability in point and click puzzle games?","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-13T01:58:39.476408Z"},"links":{"cited_paper":"/paper/2508.03700","citing_paper":"/paper/2605.11223"},"observation_digest":"sha256:ca78fec073a48772cfd695731139cb30b1e003fa1801bd67f82e32c01479a69a","observation_id":"e5a3afb3-6b14-4347-a2fa-d7fde29f08b6","resolution":{"observed_at":"2026-05-13T02:02:05.561418Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.03700","last_updated":"2025-09-11T14:28:11Z","snapshot_observed_at":"2026-08-09T18:37:25.673497Z","submitted_at":"2025-07-19T12:33:43Z","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.03700","snapshot_observed_at":"2026-08-01T23:03:14.479815Z","title":"Magicgui: A foundational mobile gui agent with scalable data pipeline and reinforcement fine-tuning","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.15550","last_updated":"2026-07-17T01:45:54Z","snapshot_observed_at":"2026-08-08T11:15:02.908524Z","submitted_at":"2026-07-17T01:45:54Z","title":"SeerGuard: A Safety Framework for Mobile GUI Agents via World Model Prediction","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-01T23:03:14.479815Z"},"links":{"cited_paper":"/paper/2508.03700","citing_paper":"/paper/2607.15550"},"observation_digest":"sha256:feb078d192afa9a8103e5cec7ebe46e945e4953f4f9e5e33668ddbc9b36c1347","observation_id":"def90be6-2260-45e2-9579-b0bf039ec75e","resolution":{"observed_at":"2026-08-01T23:03:14.479815Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.03700","last_updated":"2025-09-11T14:28:11Z","snapshot_observed_at":"2026-08-09T18:37:25.673497Z","submitted_at":"2025-07-19T12:33:43Z","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.03700","snapshot_observed_at":"2026-08-07T21:40:39.940510Z","title":"InProceedings of the 62nd Annual Meeting of the Associa- tionforComputationalLinguistics(Volume1:LongPapers), 9828–9862","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05891","last_updated":"2026-08-06T11:15:41Z","snapshot_observed_at":"2026-08-13T14:14:56.226374Z","submitted_at":"2026-08-06T11:15:41Z","title":"AppDeltaWorld: Transition-Grounded Delta Code World Model for Mobile GUI Agents","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T21:40:39.940510Z"},"links":{"cited_paper":"/paper/2508.03700","citing_paper":"/paper/2608.05891"},"observation_digest":"sha256:976ee777379ada4169fa83d19e4e8f56ba9b77e0e07bf32b6a692190250d36bc","observation_id":"9b24abe6-97fa-4cdc-8f03-76f0d195fa80","resolution":{"observed_at":"2026-08-07T21:40:39.940510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.03700","last_updated":"2025-09-11T14:28:11Z","snapshot_observed_at":"2026-08-09T18:37:25.673497Z","submitted_at":"2025-07-19T12:33:43Z","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.03700","snapshot_observed_at":"2026-08-11T20:19:15.765166Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09278","last_updated":"2026-08-10T08:33:19Z","snapshot_observed_at":"2026-08-13T23:42:32.291444Z","submitted_at":"2026-08-10T08:33:19Z","title":"Software Engineering for and with GUI Agent","version":1},"reference_index":216,"source":"pdf_text","source_observed_at":"2026-08-11T20:19:15.765166Z"},"links":{"cited_paper":"/paper/2508.03700","citing_paper":"/paper/2608.09278"},"observation_digest":"sha256:a63eeef0d150a95dd7a2014f0c5ac0a504ba2989ef43d26cb7331b4e4bd3b7b7","observation_id":"ecbf5950-58a1-4353-9fcb-caf419af259d","resolution":{"observed_at":"2026-08-11T20:19:15.765166Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2508.03700/citation-record","integrity":"/paper/2508.03700/integrity","json":"/paper/2508.03700/citation-record.json","paper":"/paper/2508.03700"},"outbound":[],"paper":{"arxiv_id":"2508.03700","last_updated":"2025-09-11T14:28:11Z","latest_version":5,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-09T18:37:25.673497Z","submitted_at":"2025-07-19T12:33:43Z","title":"MagicGUI: A Foundational Mobile GUI Agent with Scalable Data Pipeline and Reinforcement Fine-tuning"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2508.03700."}