{"as_of":"2026-08-09T10:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f7a03fe7b9b27d16650a3a137187d17726f01299bbedbf707ecea692456fecb6","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:23:26.114422Z","state":"measured"},{"denominator":79,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":79,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:02:50.301162Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-03T17:38:44.005443Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"cited_work":{"arxiv_id":"2505.17104","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17104","snapshot_observed_at":"2026-07-03T17:38:44.005443Z","title":"Tao Sun, Enhao Pan, Zhengkai Yang, Kaixin Sui, Jiajun Shi, Xianfu Cheng, Tongliang Li, Wenhao Huang, Ge Zhang, Jian Yang, et al","venue":null,"work_id":"b7d8435b-89b9-43f4-9958-ac3f39aba8b5","year":null},"citing_paper":{"arxiv_id":"2508.21720","last_updated":"2026-06-17T04:32:48Z","snapshot_observed_at":"2026-08-05T14:02:48.680783Z","submitted_at":"2025-08-29T15:36:06Z","title":"PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-18T20:22:03.697564Z"},"links":{"cited_paper":"/paper/2505.17104","citing_paper":"/paper/2508.21720"},"observation_digest":"sha256:38969e0091beee5367f67730ea530bec50e3ca3e3333b60d1f6210aa9f0ccec8","observation_id":"7eb940e5-6ae6-4c33-aaaf-f8a2e14a2419","resolution":{"observed_at":"2026-05-18T20:22:50.794256Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.17104","snapshot_observed_at":"2026-08-05T14:02:50.301162Z","title":"arXiv preprint arXiv:2505.17104","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.21720","last_updated":"2026-06-17T04:32:48Z","snapshot_observed_at":"2026-08-05T14:02:48.680783Z","submitted_at":"2025-08-29T15:36:06Z","title":"PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T14:02:50.301162Z"},"links":{"cited_paper":"/paper/2505.17104","citing_paper":"/paper/2508.21720"},"observation_digest":"sha256:2f107344d7dd369944af81f5f8202973d00c9087435ef996ebaa15d43ab6c708","observation_id":"87013c19-8005-4971-951a-4ceb7bf8a18a","resolution":{"observed_at":"2026-08-05T14:02:50.301162Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"cited_work":{"arxiv_id":"2505.17104","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17104","snapshot_observed_at":"2026-07-03T17:38:44.005443Z","title":"Tao Sun, Enhao Pan, Zhengkai Yang, Kaixin Sui, Jiajun Shi, Xianfu Cheng, Tongliang Li, Wenhao Huang, Ge Zhang, Jian Yang, et al","venue":null,"work_id":"b7d8435b-89b9-43f4-9958-ac3f39aba8b5","year":null},"citing_paper":{"arxiv_id":"2511.22490","last_updated":"2026-04-08T09:24:49Z","snapshot_observed_at":"2026-08-03T04:17:36.714177Z","submitted_at":"2025-11-27T14:27:33Z","title":"SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-17T04:45:27.398195Z"},"links":{"cited_paper":"/paper/2505.17104","citing_paper":"/paper/2511.22490"},"observation_digest":"sha256:103ef07ebec6aea412ae603a08b97a5bc82f170e386c466ea05aaeebd2710bfa","observation_id":"065f7a2f-cffe-496a-b098-277562b75a77","resolution":{"observed_at":"2026-05-17T04:49:03.327339Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"cited_work":{"arxiv_id":"2505.17104","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.17104","snapshot_observed_at":"2026-07-03T17:38:44.005443Z","title":"Tao Sun, Enhao Pan, Zhengkai Yang, Kaixin Sui, Jiajun Shi, Xianfu Cheng, Tongliang Li, Wenhao Huang, Ge Zhang, Jian Yang, et al","venue":null,"work_id":"b7d8435b-89b9-43f4-9958-ac3f39aba8b5","year":null},"citing_paper":{"arxiv_id":"2606.15932","last_updated":"2026-06-16T15:28:03Z","snapshot_observed_at":"2026-07-06T23:52:37.922109Z","submitted_at":"2026-06-14T17:21:43Z","title":"Beyond NL2Code: A Structured Survey of Multimodal Code Intelligence","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-06-27T03:57:19.028507Z"},"links":{"cited_paper":"/paper/2505.17104","citing_paper":"/paper/2606.15932"},"observation_digest":"sha256:d4c48aee482bea630bb6ba1bc909b154c2a0d087420f9edf88ba5dd3ca818ed1","observation_id":"447eefd2-87c8-4790-9342-4c7db2d59287","resolution":{"observed_at":"2026-07-03T17:38:44.007041Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.17104","snapshot_observed_at":"2026-07-12T09:30:41.159870Z","title":"P2p: Automated paper-to-poster generation and fine-grained benchmark.arXiv preprint arXiv:2505.17104, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.02590","last_updated":"2026-07-01T07:01:40Z","snapshot_observed_at":"2026-08-01T20:32:36.182714Z","submitted_at":"2026-07-01T07:01:40Z","title":"OmniPresent: Generating Coherent Presentation Suites from Scientific Papers","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-12T09:30:41.159870Z"},"links":{"cited_paper":"/paper/2505.17104","citing_paper":"/paper/2607.02590"},"observation_digest":"sha256:5082909c1aec071b62858020c4030052b684ab47d25426abe98e67d07cf31a2f","observation_id":"56291944-3947-436c-90c2-657a1919d6e8","resolution":{"observed_at":"2026-07-12T09:30:41.159870Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.17104/citation-record","integrity":"/paper/2505.17104/integrity","json":"/paper/2505.17104/citation-record.json","paper":"/paper/2505.17104"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T15:23:19.983452Z","title":"Gpt-4 technical report.arXiv preprint arXiv:2303.08774, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:19.983452Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:8383697ef1506a2ddc5958aa59f42af0891ada7b36ac66d605585bdbde7acead","observation_id":"827d8a71-1189-43ce-808a-8424826b6be0","resolution":{"observed_at":"2026-08-07T15:23:19.983452Z","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":"2026-08-07T15:23:31.386526Z","title":"The claude 3 model family: Opus, sonnet, haiku","venue":null,"work_id":"7aa7bc75-c031-4242-bb37-b3eee4178bd8","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.048223Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:b50afa2fac8535b61dac878717c5d40f6e20862d4ea5a7fec3444ae791b03c2b","observation_id":"1e9aad00-aa9c-421e-aece-000498328494","resolution":{"observed_at":"2026-08-07T15:23:31.444843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:20.104310Z","title":"Vqa: Visual question answering","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.104310Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:4ae136925d299208ca737257e72cd31aba29f8fd610dd8604caab8b673e74f57","observation_id":"57aaa0b1-fe13-4417-b07f-e421c6240ce6","resolution":{"observed_at":"2026-08-07T15:23:20.104310Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-08-07T15:23:20.174374Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.174374Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:bdf25748a651a7c9e0afc5d2684910eaece3f99594f0f22d59988ff2ead5d20e","observation_id":"3a28b332-53ed-453f-9e42-d4dd01802621","resolution":{"observed_at":"2026-08-07T15:23:20.174374Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.16890","last_updated":"2023-09-04T15:06:15Z","snapshot_observed_at":"2026-07-06T16:12:55.132006Z","submitted_at":"2023-08-31T17:52:04Z","title":"TouchStone: Evaluating Vision-Language Models by Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.16890","snapshot_observed_at":"2026-08-07T15:23:20.236436Z","title":"Touchstone: Evaluating vision-language models by language models.arXiv preprint arXiv:2308.16890, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.236436Z"},"links":{"cited_paper":"/paper/2308.16890","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:b3429e7e836012967ed77c65d7b8e323296d6bd97bb6245f81341f84c68d462c","observation_id":"f66346ef-ac07-4053-9dfd-1d66b8b07ad0","resolution":{"observed_at":"2026-08-07T15:23:20.236436Z","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":"2026-08-07T15:23:31.280507Z","title":"Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020","venue":null,"work_id":"ad9dcec1-0afa-4510-94a1-94b2f4ba3c19","year":1901},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.308307Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:3130edde316515775dcfcf5edbdb3c4817dd99fef6c8f9e75231ab096e92271d","observation_id":"e2a88cd0-c8a3-487a-b18e-a96e91f5752f","resolution":{"observed_at":"2026-08-07T15:23:31.330297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:31.193415Z","title":"xcot: Cross-lingual instruction tuning for cross-lingual chain-of-thought reasoning","venue":null,"work_id":"1e9b6820-a9f9-4453-8677-f0c6a508d03c","year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.352529Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:00152950cb169bd7f9a1232ca6c645a9d28a022238ead735cf38d5d5bf78f0da","observation_id":"1a118e2c-0a0d-44e8-bb3a-a5e0cb56e181","resolution":{"observed_at":"2026-08-07T15:23:31.236080Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:20.411456Z","title":"Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.411456Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:10d7f24b22d4f96ed715a1b7c4560c330398c31a57559563cbd69e19d5c12145","observation_id":"b254ac00-1a2f-44bf-a4a2-c95a83286920","resolution":{"observed_at":"2026-08-07T15:23:20.411456Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.17336","last_updated":"2024-12-18T16:55:15Z","snapshot_observed_at":"2026-07-06T18:20:39.922334Z","submitted_at":"2024-05-27T16:37:17Z","title":"XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser","version":2},"cited_work":{"arxiv_id":"2405.17336","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.17336","snapshot_observed_at":"2026-08-07T15:23:27.256994Z","title":"XFormParser: A Simple and Effective Multimodal Multilingual Semi-structured Form Parser","venue":"cs.CL","work_id":"7a07ab13-771b-433a-97de-84e1d4283ac2","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.479302Z"},"links":{"cited_paper":"/paper/2405.17336","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:aa747de036b5ac03620f82b7db3c177ea138d1d90bdd9e3aa49d8fb7faa313af","observation_id":"213ac572-18f0-46b8-b524-1eea1bcb20ec","resolution":{"observed_at":"2026-08-07T15:23:27.324634Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:31.007915Z","title":"Sviptr: Fast and efficient scene text recognition with vision permutable extractor","venue":null,"work_id":"dfbdc750-a11b-48bd-8bc7-b1c035086b6e","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.592500Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:bb5d698574ba810c032d06fe7067c9af95be3099613633e32c590c80b30621ad","observation_id":"e95eb3cc-b52c-458a-bebb-9c99f94eb03b","resolution":{"observed_at":"2026-08-07T15:23:31.089733Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:30.830945Z","title":"A survey of chain of thought reasoning: advances, frontiers and future","venue":null,"work_id":"c030bf91-9bd8-4bae-955b-6ec31d27b5c3","year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.723496Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:491f1eb3831c97a44f8860c5558672f1e0d6cf194b254b86f881ba3f52439d93","observation_id":"50e41ff6-d216-49aa-9edb-6764e34a1c51","resolution":{"observed_at":"2026-08-07T15:23:30.944782Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.00993","last_updated":"2024-07-01T06:10:01Z","snapshot_observed_at":"2026-07-06T18:39:20.664293Z","submitted_at":"2024-07-01T06:10:01Z","title":"Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.00993","snapshot_observed_at":"2026-08-07T15:23:20.803426Z","title":"Mobile-bench: An evaluation benchmark for llm-based mobile agents.arXiv preprint arXiv:2407.00993, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.803426Z"},"links":{"cited_paper":"/paper/2407.00993","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:91b3ccf6c375f20ec4b16fb364afe02e6d0081bedb4d44449933e0283df14e36","observation_id":"971fa305-b894-470c-ba70-c9078b037c50","resolution":{"observed_at":"2026-08-07T15:23:20.803426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.03788","last_updated":"2025-08-09T17:34:57Z","snapshot_observed_at":"2026-08-09T00:42:23.831121Z","submitted_at":"2025-02-06T05:26:11Z","title":"Frontend Diffusion: Empowering Self-Representation of Junior Researchers and Designers Through Multi-agent System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.03788","snapshot_observed_at":"2026-08-07T15:23:20.857447Z","title":"Frontend diffusion: Empowering self-representation of junior researchers and designers through agentic workflows.arXiv preprint arXiv:2502.03788, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.857447Z"},"links":{"cited_paper":"/paper/2502.03788","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:aa347c19e41afdb9cbee686107790b76de3ff322eeaa10ccbef48405f58fe01e","observation_id":"11adb9c4-a8c0-43b4-aed6-d90557b82510","resolution":{"observed_at":"2026-08-07T15:23:20.857447Z","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":"2026-08-07T15:23:30.716502Z","title":"Webcode2m: A real-world dataset for code generation from webpage designs","venue":null,"work_id":"a0721dc7-cb01-4041-bdc1-47aa01a5f6ea","year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:20.961541Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:3ef7cff4272d97dd227566de6abf2da2ceac57472d365da51269b74fcb1cbe87","observation_id":"569b265f-5abf-46fe-b5bc-3f4f4111fe6e","resolution":{"observed_at":"2026-08-07T15:23:30.775330Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:30.583955Z","title":"Uicopilot: Automating ui synthesis via hierarchical code generation from webpage designs","venue":null,"work_id":"2d1bcfda-27ff-42f4-961b-961334b621f5","year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.077874Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:990dce3bc9ac89ec6082e5be4d79280251e9263b024250914a4808a887c060d6","observation_id":"713fb338-b669-4367-bb78-29a13c39d8b8","resolution":{"observed_at":"2026-08-07T15:23:30.646471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T15:23:21.200919Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning.arXiv preprint arXiv:2501.12948, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.200919Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:f90fce391da427a1b36043487341a74b618e6f1db1b40b85bcec9be14bade2a5","observation_id":"86c6c5f6-32ee-446a-bbdb-e9fa8db47e60","resolution":{"observed_at":"2026-08-07T15:23:21.200919Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.03578","last_updated":"2026-01-28T04:55:23Z","snapshot_observed_at":"2026-07-06T17:25:53.950578Z","submitted_at":"2024-02-05T23:06:42Z","title":"LLM Multi-Agent Systems: Challenges and Open Problems","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.03578","snapshot_observed_at":"2026-08-07T15:23:21.244004Z","title":"Llm multi-agent systems: Challenges and open problems.arXiv preprint arXiv:2402.03578, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.244004Z"},"links":{"cited_paper":"/paper/2402.03578","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:a7e30c9d2454b43ceef72351263367e002139079633c4531c967aefb686f3ed7","observation_id":"70c02b41-cd95-4e5b-b867-25a3bf03d1e4","resolution":{"observed_at":"2026-08-07T15:23:21.244004Z","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":"2026-08-07T15:23:21.323321Z","title":"Layoutlmv3: Pre-training for document ai with unified text and image masking","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.323321Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:c7f2618aa91a720ce956ddba9fa3f4b8653dd40f2ccbfb20cbc60fa8fb0a1c5d","observation_id":"86ee48bc-c688-49a7-81ff-10e71fa72807","resolution":{"observed_at":"2026-08-07T15:23:21.323321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.11403","last_updated":"2024-05-18T22:10:15Z","snapshot_observed_at":"2026-08-06T11:33:39.941764Z","submitted_at":"2024-05-18T22:10:15Z","title":"MapCoder: Multi-Agent Code Generation for Competitive Problem Solving","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.11403","snapshot_observed_at":"2026-08-07T15:23:21.404296Z","title":"Mapcoder: Multi- agent code generation for competitive problem solving.arXiv preprint arXiv:2405.11403, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.404296Z"},"links":{"cited_paper":"/paper/2405.11403","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:eb31e8bdc31125bd501b974f07649b2cef35c100bf5986a1c07b71ee3e928d13","observation_id":"ecf11619-ff1d-4cae-9f10-e1f8ee7bfb45","resolution":{"observed_at":"2026-08-07T15:23:21.404296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.20213","last_updated":"2024-05-30T16:16:25Z","snapshot_observed_at":"2026-07-06T18:22:48.671656Z","submitted_at":"2024-05-30T16:16:25Z","title":"PostDoc: Generating Poster from a Long Multimodal Document Using Deep Submodular Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.20213","snapshot_observed_at":"2026-08-07T15:23:21.473923Z","title":"Postdoc: Generating poster from a long multimodal document using deep submodular optimization.arXiv preprint arXiv:2405.20213, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.473923Z"},"links":{"cited_paper":"/paper/2405.20213","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:4dce7a4c8a3d54d30aae0e396f691a032d93e9ba978e8107244f3178ada56877","observation_id":"9d493fee-c86a-45bb-b8ee-fdba5dab2b5b","resolution":{"observed_at":"2026-08-07T15:23:21.473923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.09029","last_updated":"2024-03-14T01:40:40Z","snapshot_observed_at":"2026-08-07T01:10:55.050491Z","submitted_at":"2024-03-14T01:40:40Z","title":"Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.09029","snapshot_observed_at":"2026-08-07T15:23:21.558241Z","title":"Unlocking the conversion of web screenshots into html code with the websight dataset.arXiv preprint arXiv:2403.09029, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.558241Z"},"links":{"cited_paper":"/paper/2403.09029","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:244efdb432116c873e59da65643cdafb7a1a670b8149a6fad51bf20da289708b","observation_id":"1e032ce1-8d1e-4ada-abbc-2f261baa809c","resolution":{"observed_at":"2026-08-07T15:23:21.558241Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.05470","last_updated":"2023-12-07T08:48:36Z","snapshot_observed_at":"2026-08-06T02:25:36.517255Z","submitted_at":"2023-10-09T07:27:15Z","title":"Generative Judge for Evaluating Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.05470","snapshot_observed_at":"2026-08-07T15:23:21.660879Z","title":"Generative judge for evaluating alignment.arXiv preprint arXiv:2310.05470, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.660879Z"},"links":{"cited_paper":"/paper/2310.05470","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:66710dc74a2007bb7f45f27acecba3787db7d4cc7b1e0c7a29e0edc2974beb2f","observation_id":"6ab1ee75-5b84-4885-a5b0-59e4dc8146de","resolution":{"observed_at":"2026-08-07T15:23:21.660879Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.01038","last_updated":"2020-11-11T05:08:05Z","snapshot_observed_at":"2026-08-08T00:49:27.760989Z","submitted_at":"2020-06-01T16:04:30Z","title":"DocBank: A Benchmark Dataset for Document Layout Analysis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.01038","snapshot_observed_at":"2026-08-07T15:23:21.753832Z","title":"Docbank: A benchmark dataset for document layout analysis.arXiv preprint arXiv:2006.01038, 2020","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.753832Z"},"links":{"cited_paper":"/paper/2006.01038","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:cb1d2f0d0dcd5a04babc905ef7bfaae961f14a1e60ed23a35005a27e526031c9","observation_id":"778807b8-660f-4e30-a6a7-5ab005c4df82","resolution":{"observed_at":"2026-08-07T15:23:21.753832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.16232","last_updated":"2024-10-21T17:39:49Z","snapshot_observed_at":"2026-08-06T08:14:59.264972Z","submitted_at":"2024-10-21T17:39:49Z","title":"Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping","version":1},"cited_work":{"arxiv_id":"2410.16232","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.16232","snapshot_observed_at":"2026-08-07T15:23:27.007529Z","title":"Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototyping","venue":"cs.CL","work_id":"9220c198-2a8e-44c1-90e4-82075e07530c","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.868876Z"},"links":{"cited_paper":"/paper/2410.16232","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:f231e591b5f9f57697dc6755e78537aabb27a29d26b1411c5dc8ef2a58a55b0d","observation_id":"e87ab29d-9570-4d8a-877b-9f6b81653c50","resolution":{"observed_at":"2026-08-07T15:23:27.078369Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:21.966998Z","title":"Alpacaeval: An automatic evaluator of instruction-following models, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:21.966998Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:a9ad4d5aec256821c51b4894a768bf066d7ba75ad0e20931db680ae697665577","observation_id":"50945961-4092-4980-8059-d5d9b1b9e429","resolution":{"observed_at":"2026-08-07T15:23:21.966998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10355","last_updated":"2023-10-26T02:52:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-17T16:34:01Z","title":"Evaluating Object Hallucination in Large Vision-Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10355","snapshot_observed_at":"2026-08-07T15:23:22.011337Z","title":"Evaluating object hallucination in large vision-language models.arXiv preprint arXiv:2305.10355, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.011337Z"},"links":{"cited_paper":"/paper/2305.10355","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:9c4ae51e34f88400021272f7400254016560c05f9afa1ebef36207410c5d5245","observation_id":"4d595d98-947b-4343-8c11-15b734ee9a98","resolution":{"observed_at":"2026-08-07T15:23:22.011337Z","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":"2410.18362","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:26.878927Z","title":"Waffle: Multi-modal model for automated front-end development.arXiv preprint arXiv:2410.18362, 2024","venue":null,"work_id":"f16743a7-1851-4cb2-b72e-4d07af65e476","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.068418Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:1a6c1a6d7a80e8223bfe3ce6cd8fcdf60bae8c7c643411da8e46953a39e55d9f","observation_id":"6af4ffc4-9872-48e7-9d4b-d3a6b05c111c","resolution":{"observed_at":"2026-08-07T15:23:26.941661Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:22.157844Z","title":"Rouge: A package for automatic evaluation of summaries","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.157844Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:1675303086812d763bcd102427087f6a42ca7ddc1284f5fcb7a9ceb5a8c6b5b0","observation_id":"9a14084d-a996-495b-bc88-ec95e4d07a7b","resolution":{"observed_at":"2026-08-07T15:23:22.157844Z","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":"2026-08-07T15:23:30.216558Z","title":"Layoutprompter: Awaken the design ability of large language models.Advances in Neural Information Processing Systems, 36, 2024","venue":null,"work_id":"dc65fbfd-5dbb-4caf-9d84-bd348a673265","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.245526Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:dd170291488573f4f6db3d0ae48f6eae1a2ef81501110b960bde19d4ae403f6c","observation_id":"7209b399-551d-4b83-9a0f-bef452e8b5d5","resolution":{"observed_at":"2026-08-07T15:23:30.408392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19437","last_updated":"2025-02-18T17:26:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-27T04:03:16Z","title":"DeepSeek-V3 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.19437","snapshot_observed_at":"2026-08-07T15:23:22.366855Z","title":"Deepseek-v3 technical report.arXiv preprint arXiv:2412.19437, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.366855Z"},"links":{"cited_paper":"/paper/2412.19437","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:6f70bed3d59a7cc97ba247494a47f8a2a805728a77c66bc3f0d1b404193fa5af","observation_id":"72eac235-8e69-4848-b3b3-6ecf8833aa8b","resolution":{"observed_at":"2026-08-07T15:23:22.366855Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.14566","last_updated":"2024-03-25T06:05:24Z","snapshot_observed_at":"2026-08-02T21:20:28.501823Z","submitted_at":"2023-10-23T04:49:09Z","title":"HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.14566","snapshot_observed_at":"2026-08-07T15:23:22.495726Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.495726Z"},"links":{"cited_paper":"/paper/2310.14566","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:a83cb131118f3fa271491cf26578c281485c494a165e5731e214201e8a964085","observation_id":"d097cdb1-28a7-4531-8075-ceaf8608ffdc","resolution":{"observed_at":"2026-08-07T15:23:22.495726Z","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":"2026-08-07T15:23:29.942928Z","title":"Aligning large multi-modal model with robust instruction tuning.CoRR, 2023","venue":null,"work_id":"95c5bf32-48f5-4c80-9d27-7eb1f8a765c8","year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.574634Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:ccd74f4b2d4591d1c1381f96eb867d55945d04e063600977fca98a9d83e816c0","observation_id":"833d01cb-ff8a-40d0-8f6d-f5d42f19ec68","resolution":{"observed_at":"2026-08-07T15:23:30.052004Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:22.652030Z","title":"Visual instruction tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.652030Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:4b2031926cc8cf92f5149d0134c46576bfcc4561d4b44875fcd6011840cd4ea3","observation_id":"376c4721-ab0f-478c-a1e9-a1519610cab6","resolution":{"observed_at":"2026-08-07T15:23:22.652030Z","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":"2026-08-07T15:23:29.785579Z","title":"Roleagent: Building, interacting, and benchmarking high-quality role-playing agents from scripts.Advances in Neural Information Processing Systems, 37:49403–49428, 2025","venue":null,"work_id":"7746c417-4b24-443c-aa5c-1b213aef87d8","year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.795594Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:eb4da26db50218aed5ca73edeb1569b2698cb09d6b125cdc74668553e38ae95a","observation_id":"f290a454-83cb-4298-a25b-44d07694cce2","resolution":{"observed_at":"2026-08-07T15:23:29.853193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-07T15:23:22.933331Z","title":"Lost in the middle: How language models use long contexts","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:22.933331Z"},"links":{"cited_paper":"/paper/2307.03172","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:7fc50948a453aecb7b74eaeb1cfaf98b5022f5777ab4edff7f6a34aaedb61d18","observation_id":"d102267f-fe65-4c57-8a8e-a3a6c379b2c1","resolution":{"observed_at":"2026-08-07T15:23:22.933331Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-07T15:23:23.037277Z","title":"Decoupled weight decay regularization.arXiv preprint arXiv:1711.05101, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.037277Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:7f0bbe4eb6e4cefb7a025b54393b4e43578c8fd2607261acbcc19b336f3c1ce8","observation_id":"3646be47-7e5f-4ca9-ada8-de1641aec7ad","resolution":{"observed_at":"2026-08-07T15:23:23.037277Z","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":"2026-08-07T15:23:29.624957Z","title":"Textrank: Bringing order into text","venue":null,"work_id":"25962ed4-1230-464c-9d81-85f196e6d960","year":2004},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.148777Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:4107369319a872a6187c95809441860ad8b20cb849ed3ffd5fc8d95d8ccda254","observation_id":"3e39c9b9-68ec-49ae-ba03-6f6f3d0d1f2e","resolution":{"observed_at":"2026-08-07T15:23:29.703334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:29.467177Z","title":"Tailored summary for automatic poster generator","venue":null,"work_id":"378a84b8-e940-47c0-a1bd-104ad3c63362","year":2016},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.293209Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:84fbad6f2b286c6cc19e1c10c0e71608e9458037bad077dc1a95af8526bad772","observation_id":"49935fa3-e8b0-424d-808f-3c36438df410","resolution":{"observed_at":"2026-08-07T15:23:29.536870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:29.345151Z","title":"Learning to generate posters of scientific papers by probabilistic graphical models.Journal of Computer Science and Technology, 34:155–169, 2019","venue":null,"work_id":"325c2cf8-e5b3-4ee2-9e8e-a05c3718d4b4","year":2019},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.382913Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:c3c184ea10368421189f9bdcbfd9ac597c0c418768e86219dccbf488ed9d6ab4","observation_id":"b36d6899-6013-4188-87b7-5f64acd537b7","resolution":{"observed_at":"2026-08-07T15:23:29.404615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:29.195603Z","title":"Learning to generate posters of scientific papers","venue":null,"work_id":"fbfa3ddb-2141-429f-abb3-4354a502cabe","year":2016},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.426470Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:054639bf17c9c7b7a1fe682bbf0e1c00c0ad99b3282593ee7a21e450e09b9c91","observation_id":"839ca42c-b3d9-4665-93cb-dfdada92c214","resolution":{"observed_at":"2026-08-07T15:23:29.263265Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.17540","last_updated":"2025-02-24T18:35:39Z","snapshot_observed_at":"2026-08-07T17:52:23.716634Z","submitted_at":"2025-02-24T18:35:39Z","title":"PosterSum: A Multimodal Benchmark for Scientific Poster Summarization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.17540","snapshot_observed_at":"2026-08-07T15:23:23.519628Z","title":"Postersum: A multimodal benchmark for scientific poster summarization.arXiv preprint arXiv:2502.17540, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.519628Z"},"links":{"cited_paper":"/paper/2502.17540","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:582c55b686ff18068b44625e41e38ae04d5472fbe52ed4ee9395a00aaa97ecd0","observation_id":"c214616d-8460-4671-8de1-42ba406c69d5","resolution":{"observed_at":"2026-08-07T15:23:23.519628Z","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":"2026-08-07T15:23:23.608863Z","title":"Seed-thinking-v1","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.608863Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:084c1bd086544993577a2638552cb098145280016d3120f5be514b6cac57a797","observation_id":"88df6fb3-24c5-4d7c-95d7-794fbee80539","resolution":{"observed_at":"2026-08-07T15:23:23.608863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.03163","last_updated":"2025-02-09T04:22:26Z","snapshot_observed_at":"2026-07-06T17:40:01.975792Z","submitted_at":"2024-03-05T17:56:27Z","title":"Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.03163","snapshot_observed_at":"2026-08-07T15:23:23.715922Z","title":"De- sign2code: Benchmarking multimodal code generation for automated front-end engineer- ing.arXiv preprint arXiv:2403.03163, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.715922Z"},"links":{"cited_paper":"/paper/2403.03163","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:1a976f5dd34fe1b49e0f4d52b4b8e4fd1d7b563c76ecdef67c33a8266b221e81","observation_id":"408860d3-65e3-47d2-bbf9-5cde9ba8f3a1","resolution":{"observed_at":"2026-08-07T15:23:23.715922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16441","last_updated":"2024-06-24T08:32:48Z","snapshot_observed_at":"2026-07-06T18:35:54.300599Z","submitted_at":"2024-06-24T08:32:48Z","title":"UniCoder: Scaling Code Large Language Model via Universal Code","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16441","snapshot_observed_at":"2026-08-07T15:23:23.806527Z","title":"Unicoder: Scaling code large language model via universal code.arXiv preprint arXiv:2406.16441, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.806527Z"},"links":{"cited_paper":"/paper/2406.16441","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:ac9254e4d17d16ceb398a4e7e224940d004153583b6a70e58eaa37b4d03d1fdf","observation_id":"230354a5-bf2d-4b50-bcfe-f121d96ac3ef","resolution":{"observed_at":"2026-08-07T15:23:23.806527Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15134","last_updated":"2025-01-25T08:39:50Z","snapshot_observed_at":"2026-07-06T20:26:03.338338Z","submitted_at":"2025-01-25T08:39:50Z","title":"BitsAI-CR: Automated Code Review via LLM in Practice","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15134","snapshot_observed_at":"2026-08-07T15:23:23.868472Z","title":"Bitsai-cr: Automated code review via llm in practice.arXiv preprint arXiv:2501.15134, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.868472Z"},"links":{"cited_paper":"/paper/2501.15134","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:8181246e5421500fe05e268864ea0f8fd2a027aea22207ce4933c2e9f6116f56","observation_id":"cb0edfb5-b2ce-427b-b185-1cdd1cc6d24a","resolution":{"observed_at":"2026-08-07T15:23:23.868472Z","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":"2026-08-07T15:23:29.053715Z","title":"Repofixeval: A repository-level program repair benchmark from issue discovering to bug fixing","venue":null,"work_id":"cb94e052-1a9e-4337-8864-d654fe40c738","year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:23.938336Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:a1d0b327db1caab8a0c4f0d323f5f6716db6229caa9cb62195b803989c2e2f8c","observation_id":"5182bd48-6d67-4c89-b0fa-cc1b0ddee2e1","resolution":{"observed_at":"2026-08-07T15:23:29.123186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.19786","last_updated":"2025-03-25T15:52:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-25T15:52:34Z","title":"Gemma 3 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.19786","snapshot_observed_at":"2026-08-07T15:23:24.041934Z","title":"Gemma 3 technical report.arXiv preprint arXiv:2503.19786, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.041934Z"},"links":{"cited_paper":"/paper/2503.19786","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:95bca5b4a90c33e2aee7b5549abbffb77d2c65fc2a9c7c4800fe737cb0bf623d","observation_id":"8df58791-9e56-482a-b4c5-b4dda3e39eab","resolution":{"observed_at":"2026-08-07T15:23:24.041934Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15310","last_updated":"2024-12-19T15:02:33Z","snapshot_observed_at":"2026-07-06T20:10:29.099784Z","submitted_at":"2024-12-19T15:02:33Z","title":"MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15310","snapshot_observed_at":"2026-08-07T15:23:24.099185Z","title":"Mrweb: An exploration of generating multi-page resource-aware web code from ui designs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.099185Z"},"links":{"cited_paper":"/paper/2412.15310","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:8ff6a42b9aa23d83e06dc12c01628bfd1772a70503eb1c939f212abf2b53bb62","observation_id":"1006f8c7-6fff-4809-91e1-a59c3d9b8a5f","resolution":{"observed_at":"2026-08-07T15:23:24.099185Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.16386","last_updated":"2025-04-25T15:12:34Z","snapshot_observed_at":"2026-08-04T11:28:16.161354Z","submitted_at":"2024-06-24T07:58:36Z","title":"Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.16386","snapshot_observed_at":"2026-08-07T15:23:24.178275Z","title":"Automatically generating ui code from screenshot: A divide-and-conquer- based approach.arXiv preprint arXiv:2406.16386, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.178275Z"},"links":{"cited_paper":"/paper/2406.16386","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:126e7ab8ad4538002d993b93aa3a67d95a65b6eea34bf65b5793a77afa71620f","observation_id":"d2fb4065-91f1-4f7d-b049-f7ea78a9adf2","resolution":{"observed_at":"2026-08-07T15:23:24.178275Z","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":"2026-08-07T15:23:28.869717Z","title":"Scipostlayout: A dataset for layout analysis and layout generation of scientific posters","venue":null,"work_id":"79c082d3-2f3a-424d-bb54-ab6f097b8ec8","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.280049Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:1536c6eced9c2c05877185c366bec0259b979f934642c3052d65fe3a96bde610","observation_id":"91e1515a-9e3c-43ae-9b42-25efef786994","resolution":{"observed_at":"2026-08-07T15:23:28.943912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:28.682849Z","title":"Multimodal query suggestion with multi-agent reinforcement learning from human feedback","venue":null,"work_id":"5a9c0d95-deff-4abc-bbd9-1ffa5229a60f","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.392332Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:21319952a389eb677cee69dfe532bef9a07a6e98afe06fcb1f6ff9739250a335","observation_id":"4ff89117-b524-4e4c-b853-dd03ee40674c","resolution":{"observed_at":"2026-08-07T15:23:28.785276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2109.01652","last_updated":"2022-02-08T20:26:45Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-09-03T17:55:52Z","title":"Finetuned Language Models Are Zero-Shot Learners","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.01652","snapshot_observed_at":"2026-08-07T15:23:24.503436Z","title":"Finetuned language models are zero-shot learners","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.503436Z"},"links":{"cited_paper":"/paper/2109.01652","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:e74781c079c9a09ca1c53080a956b20172ea9f291db8dd6f9d54ec097d2c6b0f","observation_id":"345fa35b-3fe2-4a22-a022-ddf5aeaf2816","resolution":{"observed_at":"2026-08-07T15:23:24.503436Z","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":"2026-08-07T15:23:24.606736Z","title":"Interac- tion2code: How far are we from automatic interactive webpage generation?arXiv preprint arXiv:2411.03292, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.606736Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:8e46ee5e6e3b2bb1b7c001b5f4097e7b0e2d96de88113886cbae452efd5dff72","observation_id":"864e6f21-4df4-43c1-b59e-a4d2a52379a8","resolution":{"observed_at":"2026-08-07T15:23:24.606736Z","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":"2026-08-07T15:23:28.619019Z","title":"Prototype2code: End-to-end front-end code generation from ui design prototypes","venue":null,"work_id":"3e26eaae-7e44-46e1-b719-8c806d43747e","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.663963Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:dfff709834da6366fe1700d11f4b8176528e2435b978332d00233dc16a5f42b8","observation_id":"a72773b6-58ce-41bb-b812-0e3d355d5fcb","resolution":{"observed_at":"2026-08-07T15:23:28.647833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.08550","last_updated":"2021-12-16T01:19:37Z","snapshot_observed_at":"2026-07-06T12:19:18.822721Z","submitted_at":"2021-12-16T01:19:37Z","title":"Neural Content Extraction for Poster Generation of Scientific Papers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.08550","snapshot_observed_at":"2026-08-07T15:23:24.719407Z","title":"Neural content extraction for poster generation of scientific papers.arXiv preprint arXiv:2112.08550, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.719407Z"},"links":{"cited_paper":"/paper/2112.08550","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:a8db7b1a15cefcedef3b19c464810c81d96d221223df5a533a957719a7319a13","observation_id":"62d010eb-d66f-41fc-b60e-0bcc5f0068a9","resolution":{"observed_at":"2026-08-07T15:23:24.719407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2111.02086","last_updated":"2021-11-03T09:16:17Z","snapshot_observed_at":"2026-07-06T12:04:57.395375Z","submitted_at":"2021-11-03T09:16:17Z","title":"Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task","version":1},"cited_work":{"arxiv_id":"2111.02086","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.02086","snapshot_observed_at":"2026-08-07T15:23:26.343514Z","title":"Multilingual Machine Translation Systems from Microsoft for WMT21 Shared Task","venue":"cs.CL","work_id":"0b4b3d2f-ec8d-4636-856f-20e4203ad5d4","year":2021},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.766002Z"},"links":{"cited_paper":"/paper/2111.02086","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:1355dea190fbba27bebfaace3b37f64c918ad1354d11e1093072542191135e3f","observation_id":"13a120e0-c86b-4c32-a29f-40143787ffa2","resolution":{"observed_at":"2026-08-07T15:23:26.420417Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05210","last_updated":"2024-12-06T17:40:38Z","snapshot_observed_at":"2026-07-06T20:02:57.733746Z","submitted_at":"2024-12-06T17:40:38Z","title":"Evaluating and Aligning CodeLLMs on Human Preference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05210","snapshot_observed_at":"2026-08-07T15:23:24.847164Z","title":"Evaluating and aligning codellms on human preference","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.847164Z"},"links":{"cited_paper":"/paper/2412.05210","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:a1cea78bc3cfd7cf3a07b4c4854b93594de31691f57acd72c185a03d0337973f","observation_id":"20037041-9a72-4961-9675-5c4d8d0242c7","resolution":{"observed_at":"2026-08-07T15:23:24.847164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.11990","last_updated":"2024-12-16T17:14:35Z","snapshot_observed_at":"2026-08-04T05:43:25.698966Z","submitted_at":"2024-12-16T17:14:35Z","title":"ExecRepoBench: Multi-level Executable Code Completion Evaluation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.11990","snapshot_observed_at":"2026-08-07T15:23:24.940985Z","title":"Execrepobench: Multi-level executable code completion evaluation.arXiv preprint arXiv:2412.11990, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:24.940985Z"},"links":{"cited_paper":"/paper/2412.11990","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:d5653d07899c50f7a75ab32d01ab840d637c4bc08c3a1c0bfdb56fff56965361","observation_id":"960cbbf1-4249-42ad-9395-5aa68bf361aa","resolution":{"observed_at":"2026-08-07T15:23:24.940985Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.07487","last_updated":"2025-02-11T11:46:38Z","snapshot_observed_at":"2026-08-08T12:32:06.365109Z","submitted_at":"2025-02-11T11:46:38Z","title":"Multi-Agent Collaboration for Multilingual Code Instruction Tuning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.07487","snapshot_observed_at":"2026-08-07T15:23:25.039824Z","title":"Multi-agent collaboration for multilingual code instruction tuning.arXiv preprint arXiv:2502.07487, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.039824Z"},"links":{"cited_paper":"/paper/2502.07487","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:68a0b78a6184db3518e9c4412f8e64636c788e7065dc3d4e30f52441e9e23682","observation_id":"a8b69dc6-c15d-48d6-b734-85ecd0ddcf20","resolution":{"observed_at":"2026-08-07T15:23:25.039824Z","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":"2026-08-07T15:23:28.523105Z","title":"Scipg: A new benchmark and approach for layout-aware scientific poster generation","venue":null,"work_id":"5f4bb08e-b234-4f6f-925f-c458e4aeb6cf","year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.115961Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:931e32838c7023bb6a880fef74e985df4f37200967c4a906077902b028135797","observation_id":"f243ff6e-b999-4c22-962d-25762d76dc96","resolution":{"observed_at":"2026-08-07T15:23:28.574915Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.20098","last_updated":"2024-11-17T16:11:00Z","snapshot_observed_at":"2026-08-04T02:34:31.877467Z","submitted_at":"2024-06-28T17:59:46Z","title":"Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.20098","snapshot_observed_at":"2026-08-07T15:23:25.198852Z","title":"Web2code: A large-scale webpage-to-code dataset and evaluation framework for multimodal llms.arXiv preprint arXiv:2406.20098, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.198852Z"},"links":{"cited_paper":"/paper/2406.20098","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:f0d5b07c7952b520b978567828777bc07028a523e4266980b01bfbb16684266c","observation_id":"c0cdf47a-158e-408f-9a47-99265d6b1574","resolution":{"observed_at":"2026-08-07T15:23:25.198852Z","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":"2026-08-07T15:23:28.419858Z","title":"Layoutdiffu- sion: Improving graphic layout generation by discrete diffusion probabilistic models","venue":null,"work_id":"d8aebb8e-0bf0-4c31-ae40-0e38d5087ec2","year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.255096Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:e00c939bd7b6e21386af20abeae460f1102f107da7779197fa4853655e592f8d","observation_id":"fd37e9e7-7766-4172-b309-924581322a90","resolution":{"observed_at":"2026-08-07T15:23:28.466015Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:28.281296Z","title":"Nldesign: A ui design tool for natural language interfaces","venue":null,"work_id":"6c9fa590-a613-461c-a8cf-1b2df1a2337e","year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.343455Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:91175879d4984464fc537404e4c54a7b44315b543dd79ec6533e4c9589b94132","observation_id":"9078e2a1-bc1c-4877-bf83-085ca529ab50","resolution":{"observed_at":"2026-08-07T15:23:28.331821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-07T15:23:25.453008Z","title":"Bertscore: Evaluating text generation with bert.arXiv preprint arXiv:1904.09675, 2019","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.453008Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:739570b953b3185d06baf890773f4dd8cf4ac89ade3c303fdfd82d8603bf4a40","observation_id":"2dfea877-153b-4dba-8b9c-a25cb4b0260d","resolution":{"observed_at":"2026-08-07T15:23:25.453008Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.12628","last_updated":"2024-10-16T14:50:47Z","snapshot_observed_at":"2026-08-06T14:52:26.847418Z","submitted_at":"2024-10-16T14:50:47Z","title":"DocLayout-YOLO: Enhancing Document Layout Analysis through Diverse Synthetic Data and Global-to-Local Adaptive Perception","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.12628","snapshot_observed_at":"2026-08-07T15:23:25.515481Z","title":"Doclayout-yolo: Enhancing document layout analysis through diverse synthetic data and global-to-local adaptive perception.arXiv preprint arXiv:2410.12628, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.515481Z"},"links":{"cited_paper":"/paper/2410.12628","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:1076ddf8dc95b607eb95965e1db243d7d41e4db1bc06aa9ce2f1639f910f2d2b","observation_id":"0ac08ef5-7094-46b6-b801-9555813dbcb1","resolution":{"observed_at":"2026-08-07T15:23:25.515481Z","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":"2026-08-07T15:23:28.157069Z","title":"Publaynet: largest dataset ever for document layout analysis","venue":null,"work_id":"19db93ec-1769-4468-b95b-5f0352991a02","year":2019},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.579445Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:ddeaa78bc8a8c919ff78e831eb7a7db7533efd366814f5fc948a12553d444946","observation_id":"da86b1c9-eeb6-439c-bb4d-1f6b4b672000","resolution":{"observed_at":"2026-08-07T15:23:28.205945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.11667","last_updated":"2024-09-18T03:04:12Z","snapshot_observed_at":"2026-07-06T19:17:19.354772Z","submitted_at":"2024-09-18T03:04:12Z","title":"Bridging Design and Development with Automated Declarative UI Code Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.11667","snapshot_observed_at":"2026-08-07T15:23:25.624634Z","title":"Bridging design and development with automated declarative ui code generation.arXiv preprint arXiv:2409.11667, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.624634Z"},"links":{"cited_paper":"/paper/2409.11667","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:d3e7cc86588d5c75ce5bf75f66f9a0eb65b238d7f8a9ef4d234586158eca694b","observation_id":"c526bb1e-b24f-4b95-8de4-ebc5c48e5f9d","resolution":{"observed_at":"2026-08-07T15:23:25.624634Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.17631","last_updated":"2025-03-01T17:06:43Z","snapshot_observed_at":"2026-08-06T12:42:08.815092Z","submitted_at":"2023-10-26T17:48:58Z","title":"JudgeLM: Fine-tuned Large Language Models are Scalable Judges","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.17631","snapshot_observed_at":"2026-08-07T15:23:25.664406Z","title":"Judgelm: Fine-tuned large language models are scalable judges.arXiv preprint arXiv:2310.17631, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.664406Z"},"links":{"cited_paper":"/paper/2310.17631","citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:e1a2e72d7b2e2afa71f421d453d0096596571df892657da390c0a507a04753da","observation_id":"80aac51c-8e10-4e0d-95dd-ec56f9bf4cdc","resolution":{"observed_at":"2026-08-07T15:23:25.664406Z","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":"2026-08-07T15:23:28.060749Z","title":null,"venue":null,"work_id":"5f59e2f3-9184-409c-ae27-2507653aefa9","year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.753857Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:58e0d7cc197854afc7df1568b97e17c2116523e0a0383eb2d3d60442d85b5cba","observation_id":"10acc9e1-29ee-4d58-ad98-0dac8ff51855","resolution":{"observed_at":"2026-08-07T15:23:28.119658Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:27.921046Z","title":null,"venue":null,"work_id":"93639f3f-c09f-43b0-aaea-ac9fcb9db811","year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.852760Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:f8e55a5034309c17a5d8ca2c299f40a6c81dfaaffb9c36473a7369323c00029a","observation_id":"1cde4556-098d-472a-905e-e3d665153b34","resolution":{"observed_at":"2026-08-07T15:23:28.010315Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:27.738442Z","title":"Start,\"","venue":null,"work_id":"30acca01-4f7c-4443-8d2e-9a1a54913d2a","year":2019},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.911896Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:08daff670e39c0fd273fffd12798c3b72a63379662b6d6375a60adc8342269bd","observation_id":"d6ff1296-c96b-4160-ba2e-7c4f8b9605a8","resolution":{"observed_at":"2026-08-07T15:23:27.810022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:27.659338Z","title":null,"venue":null,"work_id":"5ee8cfa2-8174-49aa-aca5-92efb82fea14","year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:25.962289Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:6ae803852ccd88d593d680a3c60544d2b6e5950b13343d4ff1e15f015e80a70c","observation_id":"d4e78b67-c476-4c91-80e3-d517ed657839","resolution":{"observed_at":"2026-08-07T15:23:27.685157Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:27.583078Z","title":"The other data is created by GPT-4 instruction generated and manually constructed","venue":null,"work_id":"6096f8c2-07d0-45b5-ab46-bd0f73d82bbf","year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:26.039151Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:e5706ca8d51bf2166e7d195cd50e74976265606af1f8eb09f095b5f9ff4d9a43","observation_id":"fa2e207d-c80e-417b-b12b-21c367146785","resolution":{"observed_at":"2026-08-07T15:23:27.619588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T15:23:27.443792Z","title":"poster-header","venue":null,"work_id":"3e9daefe-4c7d-473e-9d12-507caa2cd5f2","year":null},"citing_paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T15:23:26.114422Z"},"links":{"citing_paper":"/paper/2505.17104"},"observation_digest":"sha256:15cd48784fdceab831cdb9867eb2ded0c465a017ffc8b4921b2b3eacab259aa1","observation_id":"c7784769-6610-4c7d-989b-238d601ca837","resolution":{"observed_at":"2026-08-07T15:23:27.504773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.17104","last_updated":"2025-05-21T09:06:05Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:18:35.134599Z","submitted_at":"2025-05-21T09:06:05Z","title":"P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":44,"verified_exact":4,"verified_fuzzy":25},"total_outbound_references":74},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 5 inbound Pith citation observations for arXiv:2505.17104."}