{"as_of":"2026-08-07T05:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:22e5a5ef2749e941a16473ede6652d2ee5c5de150324271da08ddd4cfaf7c16f","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:26:43.037657Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-06T06:34:29.942622+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-28T01:25:11.149977Z","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":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"cited_work":{"arxiv_id":"2507.00210","doi":"10.48550/arxiv.2507.00210","metadata_source":"arxiv_reference","pith_arxiv_id":"2507.00210","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents , journal =","venue":"ArXiv.org","work_id":"3eac3c7a-825f-4175-bed9-39638e0540c0","year":2025},"citing_paper":{"arxiv_id":"2606.06708","last_updated":"2026-08-04T18:57:23Z","snapshot_observed_at":"2026-08-07T04:21:07.771475Z","submitted_at":"2026-06-04T20:48:37Z","title":"Signal-Driven Observation for Long-Horizon Web Agents","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-28T01:25:11.149977Z"},"links":{"cited_paper":"/paper/2507.00210","citing_paper":"/paper/2606.06708"},"observation_digest":"sha256:9fe464a0db0920d6cde83e5353ea7ecdf3573c4d58186afd2a471936c0ad1c19","observation_id":"ae11ef33-f613-4d55-999c-eaf7ae6b1afd","resolution":{"observed_at":"2026-06-28T01:31:29.200758Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.00210/citation-record","integrity":"/paper/2507.00210/integrity","json":"/paper/2507.00210/citation-record.json","paper":"/paper/2507.00210"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:40.920353Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:40.920353Z"},"links":{"citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:e3bedba3694d8103ce9be3925a4de8a4bcaeb489a63bf17a2cc5dff391933bef","observation_id":"35a200b2-20c7-44a3-ac53-a07270011218","resolution":{"observed_at":"2026-08-06T21:26:40.920353Z","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":"2026-08-06T21:26:41.006513Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.006513Z"},"links":{"citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:e1ce90ac20be2bfa538300393f6bde890774b2636ab0f548bd0e85b5f59ce5f0","observation_id":"bef9857c-f0cd-4e48-bcd9-1edec4acfac0","resolution":{"observed_at":"2026-08-06T21:26:41.006513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05467","last_updated":"2025-02-28T16:02:27Z","snapshot_observed_at":"2026-08-06T15:44:08.375632Z","submitted_at":"2024-12-06T23:43:59Z","title":"The BrowserGym Ecosystem for Web Agent Research","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05467","snapshot_observed_at":"2026-08-06T21:26:41.135762Z","title":"Xu, Siva Reddy, Quentin Cappart, Graham Neubig, Ruslan Salakhutdinov, Nicolas Chapados, and Alexandre Lacoste","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.135762Z"},"links":{"cited_paper":"/paper/2412.05467","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:c09560dd733419730477063e55abc9c547b52ba7890e07684aade88467378b26","observation_id":"830f9e95-0a02-429c-8364-f2ed794406e2","resolution":{"observed_at":"2026-08-06T21:26:41.135762Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.06070","last_updated":"2023-12-09T05:57:46Z","snapshot_observed_at":"2026-07-06T15:40:50.807376Z","submitted_at":"2023-06-09T17:44:31Z","title":"Mind2Web: Towards a Generalist Agent for the Web","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.06070","snapshot_observed_at":"2026-08-06T21:26:41.300552Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.300552Z"},"links":{"cited_paper":"/paper/2306.06070","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:58e45ee827d0f22f2b29ef3ff3ae366edcd45b6e146e35cef49a892b6ed7dbc9","observation_id":"3ee3e526-8014-4e62-aa62-213c3ad85954","resolution":{"observed_at":"2026-08-06T21:26:41.300552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07718","last_updated":"2024-07-23T06:19:28Z","snapshot_observed_at":"2026-08-02T12:09:24.340284Z","submitted_at":"2024-03-12T14:58:45Z","title":"WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07718","snapshot_observed_at":"2026-08-06T21:26:41.427753Z","title":"Laradji, Manuel Del Verme, Tom Marty, L \\'e o Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, and Alexandre Lacoste","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.427753Z"},"links":{"cited_paper":"/paper/2403.07718","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:a58650d1f0face8f230717d22ebbbe931f5e5beb9c68e195060cad108aec52c6","observation_id":"a52f2dde-7561-458e-bad7-1e340e542a03","resolution":{"observed_at":"2026-08-06T21:26:41.427753Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.11854","last_updated":"2024-02-25T16:21:00Z","snapshot_observed_at":"2026-07-06T15:29:50.743434Z","submitted_at":"2023-05-19T17:44:34Z","title":"Multimodal Web Navigation with Instruction-Finetuned Foundation Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.11854","snapshot_observed_at":"2026-08-06T21:26:41.571332Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.571332Z"},"links":{"cited_paper":"/paper/2305.11854","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:4037bf11aed0769d574834b4c2a1d4a842d7abd24cf655d6b7b9cfb75fd02fa3","observation_id":"8804e08a-07ae-4f6f-981f-f2e2485c8180","resolution":{"observed_at":"2026-08-06T21:26:41.571332Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.08909","last_updated":"2020-02-10T18:40:59Z","snapshot_observed_at":"2026-08-02T17:52:27.326803Z","submitted_at":"2020-02-10T18:40:59Z","title":"REALM: Retrieval-Augmented Language Model Pre-Training","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.08909","snapshot_observed_at":"2026-08-06T21:26:41.664876Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.664876Z"},"links":{"cited_paper":"/paper/2002.08909","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:7c94dfe300443095af2ea2633165b87479aeee3c9a7e16c6514a353038d93a7f","observation_id":"cba3a7a2-7fbd-44f0-86a2-7ae49595ea44","resolution":{"observed_at":"2026-08-06T21:26:41.664876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13649","last_updated":"2024-06-06T02:01:09Z","snapshot_observed_at":"2026-08-05T16:01:54.847394Z","submitted_at":"2024-01-24T18:35:21Z","title":"VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13649","snapshot_observed_at":"2026-08-06T21:26:41.787535Z","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":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.787535Z"},"links":{"cited_paper":"/paper/2401.13649","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:eb4bdf401df3885ea3c3f833c0ad3840f5de9dcbd766d27efabf8a256cbf37ea","observation_id":"eb7b9013-ba80-4c90-a9c4-19526ce5420b","resolution":{"observed_at":"2026-08-06T21:26:41.787535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2005.11401","last_updated":"2021-04-12T15:42:18Z","snapshot_observed_at":"2026-08-04T13:06:14.768886Z","submitted_at":"2020-05-22T21:34:34Z","title":"Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2005.11401","snapshot_observed_at":"2026-08-06T21:26:41.942153Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:41.942153Z"},"links":{"cited_paper":"/paper/2005.11401","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:31353eaa5de82ce4c29b11bbd64778da732c07a09f5955bbbaa5ded10668ef75","observation_id":"e9f98925-e8b1-43f3-8548-3f2326c91c72","resolution":{"observed_at":"2026-08-06T21:26:41.942153Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.13431","last_updated":"2023-03-25T21:36:36Z","snapshot_observed_at":"2026-08-04T14:03:05.024937Z","submitted_at":"2022-10-24T17:46:47Z","title":"Instruction-Following Agents with Multimodal Transformer","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.13431","snapshot_observed_at":"2026-08-06T21:26:42.104834Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.104834Z"},"links":{"cited_paper":"/paper/2210.13431","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:120b39647477c9152dc81e7242e8002335ab99f9d7d2d0015a7f7bc7a9a73eda","observation_id":"57b34a80-4082-43ed-ab64-efe77bd8cc71","resolution":{"observed_at":"2026-08-06T21:26:42.104834Z","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":"2070.36934","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:26:43.369030Z","title":null,"venue":null,"work_id":"cc0516c1-2187-42c8-8ee7-78047c72e88a","year":2024},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.269790Z"},"links":{"citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:f493a6a1f9c2b045e5d7a65cdf6b849520fed7fc0fc1566e1f9570d7c3b54799","observation_id":"d70e060f-394f-41f6-9fbb-b7a2b680b823","resolution":{"observed_at":"2026-08-06T21:26:43.379533Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.08319","last_updated":"2023-10-12T13:32:35Z","snapshot_observed_at":"2026-07-06T16:31:52.204065Z","submitted_at":"2023-10-12T13:32:35Z","title":"Fine-Tuning LLaMA for Multi-Stage Text Retrieval","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.08319","snapshot_observed_at":"2026-08-06T21:26:42.395909Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.395909Z"},"links":{"cited_paper":"/paper/2310.08319","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:15bb8f4ae056ae75f9adfe963951228069f105418ffcb9c914ebcbbdbabd4ba1","observation_id":"d47d58d7-eade-45ad-b0d4-6d20ca53ee9f","resolution":{"observed_at":"2026-08-06T21:26:42.395909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.09332","last_updated":"2022-06-01T19:08:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-12-17T05:43:43Z","title":"WebGPT: Browser-assisted question-answering with human feedback","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.09332","snapshot_observed_at":"2026-08-06T21:26:42.502669Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.502669Z"},"links":{"cited_paper":"/paper/2112.09332","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:e39654b82dbe8405d745523d25cd666e7035e41b18ccb2017be4fbfca876e346","observation_id":"cd2c6756-8e2d-4399-bd66-d511ee22d9bf","resolution":{"observed_at":"2026-08-06T21:26:42.502669Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15088","last_updated":"2023-09-26T17:31:57Z","snapshot_observed_at":"2026-07-06T16:23:57.143116Z","submitted_at":"2023-09-26T17:31:57Z","title":"RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15088","snapshot_observed_at":"2026-08-06T21:26:42.649251Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.649251Z"},"links":{"cited_paper":"/paper/2309.15088","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:1d7eea97a7c1e95ac43e6bd1effc91a4cf989dd389f53bf00f466859565e0f13","observation_id":"a65fa8af-7561-485e-8284-d2c654ef699f","resolution":{"observed_at":"2026-08-06T21:26:42.649251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.03350","last_updated":"2023-10-17T18:57:17Z","snapshot_observed_at":"2026-07-31T15:52:06.089691Z","submitted_at":"2022-10-07T06:50:23Z","title":"Measuring and Narrowing the Compositionality Gap in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03350","snapshot_observed_at":"2026-08-06T21:26:42.701788Z","title":"Smith, and Mike Lewis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.701788Z"},"links":{"cited_paper":"/paper/2210.03350","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:ec089d51dee2c685f7a0615ee4b37e15c3f4382bf151da14aa385481c2aef00c","observation_id":"8afbad23-59cf-4281-8903-5410bf351374","resolution":{"observed_at":"2026-08-06T21:26:42.701788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04761","last_updated":"2023-02-09T16:49:57Z","snapshot_observed_at":"2026-07-06T14:50:07.491434Z","submitted_at":"2023-02-09T16:49:57Z","title":"Toolformer: Language Models Can Teach Themselves to Use Tools","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04761","snapshot_observed_at":"2026-08-06T21:26:42.830453Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.830453Z"},"links":{"cited_paper":"/paper/2302.04761","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:9c42dc511f7d3200ef7c629213d347d67bcbeb73e5da896055b8f7c89fe9148d","observation_id":"bf6b6ce2-0d5c-4806-9457-aca430d98030","resolution":{"observed_at":"2026-08-06T21:26:42.830453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.03720","last_updated":"2024-08-08T18:00:48Z","snapshot_observed_at":"2026-07-06T16:28:22.350574Z","submitted_at":"2023-10-05T17:40:09Z","title":"SteP: Stacked LLM Policies for Web Actions","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03720","snapshot_observed_at":"2026-08-06T21:26:42.960256Z","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":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:42.960256Z"},"links":{"cited_paper":"/paper/2310.03720","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:8ab290c948584955a8539bab415856d75fc7708f2e402d3db6eee13a0315b52b","observation_id":"26a16be1-953c-41a2-aff9-96cef74b0ac3","resolution":{"observed_at":"2026-08-06T21:26:42.960256Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.09542","last_updated":"2024-12-28T06:20:54Z","snapshot_observed_at":"2026-08-06T00:21:17.259026Z","submitted_at":"2023-04-19T10:16:03Z","title":"Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.09542","snapshot_observed_at":"2026-08-06T21:26:43.009783Z","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":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:43.009783Z"},"links":{"cited_paper":"/paper/2304.09542","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:dac72334b10dd3527d3e9f6c21e26e63d28b01bdc9f9a6787fb3b298bfb90f46","observation_id":"50ff186d-cbce-4df0-ad71-c62553c7e507","resolution":{"observed_at":"2026-08-06T21:26:43.009783Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.11441","last_updated":"2023-11-06T07:39:49Z","snapshot_observed_at":"2026-08-04T03:29:49.409446Z","submitted_at":"2023-10-17T17:51:31Z","title":"Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.11441","snapshot_observed_at":"2026-08-06T21:26:43.018891Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:43.018891Z"},"links":{"cited_paper":"/paper/2310.11441","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:880db6499c3b9d4c389afb56ad326debf970c1e31ffc56b9d0389a684625c152","observation_id":"b34f3b79-e604-4dc1-85d5-e7cac62ad4b4","resolution":{"observed_at":"2026-08-06T21:26:43.018891Z","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":"2026-08-04T16:18:16.404587Z","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":"2026-08-06T21:19:10.746138Z","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:a3aea43cd76202764eb10af70fbc9557bd219ab2be7711853f1a5ce24b7a2392","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":"2210.03629","last_updated":"2023-03-10T01:00:17Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-10-06T01:00:32Z","title":"ReAct: Synergizing Reasoning and Acting in Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.03629","snapshot_observed_at":"2026-08-06T21:26:43.033169Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:43.033169Z"},"links":{"cited_paper":"/paper/2210.03629","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:25b6e58f6b1c7d677c10bd91714db635e52ee3a385ddfdfc5c7acf4e37dd10a3","observation_id":"f20a59b9-2dfc-4eea-a253-817954e380d4","resolution":{"observed_at":"2026-08-06T21:26:43.033169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.13854","last_updated":"2024-04-16T15:13:18Z","snapshot_observed_at":"2026-08-06T12:47:01.809185Z","submitted_at":"2023-07-25T22:59:32Z","title":"WebArena: A Realistic Web Environment for Building Autonomous Agents","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.13854","snapshot_observed_at":"2026-08-06T21:26:43.037657Z","title":"Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, Uri Alon, and Graham Neubig","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:43.037657Z"},"links":{"cited_paper":"/paper/2307.13854","citing_paper":"/paper/2507.00210"},"observation_digest":"sha256:a899fba8769f28e4a7edcbb4ef86bd98f22239ef10fe4073fa9e1cbd122b40f5","observation_id":"c2a05cf8-1db4-44db-97ce-acb38b779e96","resolution":{"observed_at":"2026-08-06T21:26:43.037657Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.00210","last_updated":"2025-06-30T19:24:45Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-06T21:19:10.746138Z","submitted_at":"2025-06-30T19:24:45Z","title":"LineRetriever: Planning-Aware Observation Reduction for Web Agents"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":21,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2507.00210."}