{"as_of":"2026-08-21T05:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fe62c500fd1c08fda5ce05f60887313308e0dbc4e28cdcb0845f8e5f6af6c561","coverage":[{"denominator":63,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":63,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:48:44.082074Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T22:14:13.903346Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-04T22:14:16.524893Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"cited_work":{"arxiv_id":"2505.07843","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.07843","snapshot_observed_at":"2026-08-04T22:14:16.524893Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","venue":"cs.GR","work_id":"310dffa5-1800-41a1-9aa6-108109315ebf","year":2025},"citing_paper":{"arxiv_id":"2509.07473","last_updated":"2025-09-09T07:51:38Z","snapshot_observed_at":"2026-08-16T20:02:16.358210Z","submitted_at":"2025-09-09T07:51:38Z","title":"SheetDesigner: MLLM-Powered Spreadsheet Layout Generation with Rule-Based and Vision-Based Reflection","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-04T22:14:13.903346Z"},"links":{"cited_paper":"/paper/2505.07843","citing_paper":"/paper/2509.07473"},"observation_digest":"sha256:b4d9abc8b9b0277af04273eebcb285e5b9c721112d951a8f5c8f912ab36c8bb9","observation_id":"f0134e56-f941-4979-a3ce-6758b8f847fe","resolution":{"observed_at":"2026-08-04T22:14:16.598815Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.07843/citation-record","integrity":"/paper/2505.07843/integrity","json":"/paper/2505.07843/citation-record.json","paper":"/paper/2505.07843"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:42.390099Z","title":"Variational transformer networks for layout generation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.390099Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:539fdc5cfdceda3a29e53bf29e9da079cab37b2e7d5b3f16de528433e66e0b24","observation_id":"dd411a19-9d5c-40aa-85e5-12989a69791f","resolution":{"observed_at":"2026-08-15T23:48:42.390099Z","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":"2026-08-15T23:48:47.448731Z","title":"Visual economy report 2024 edition: How visual communication fuels new business opportunities","venue":null,"work_id":"54f1bd85-0d06-40bc-9b29-0ae8361407df","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.447571Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:f022aeb416b28a41970ea2182ad723bc06e7f61a396e10f1850ad3d58fc17cd8","observation_id":"d8eeeaa7-af9f-445d-9739-f0b0e75ce9bf","resolution":{"observed_at":"2026-08-15T23:48:47.452880Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:47.436507Z","title":"10 highlights from canva create 2024: Redesigned for work","venue":null,"work_id":"72e263d3-0f6d-408f-9602-180c8f43e450","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.452442Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:0ffaa9b22a32a259f58281acad7242e733b4abb88ab01c63c7e5e315ae810192","observation_id":"7feb50bc-848f-4f80-93f4-6b2274e0649c","resolution":{"observed_at":"2026-08-15T23:48:47.440430Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:47.423309Z","title":"Geometry aligned variational transformer for image-conditioned layout gener- ation","venue":null,"work_id":"c3ab570f-6b6a-4e3c-aa88-e464861f902b","year":2022},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.457264Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:1aee824b62ace47018c0bbfadb309228f4215f798f8d62985ecaefd3260d370f","observation_id":"ade983e2-f22a-4209-bf18-58a784b42e04","resolution":{"observed_at":"2026-08-15T23:48:47.427709Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:47.409737Z","title":"Self-refined variational transformer for image-conditioned layout generation","venue":null,"work_id":"0d6d1bf4-8a45-491d-b05e-d9905f556a66","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.461740Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:8beabaf5661882aefe1b38b0b547d971715cfc7bc6352334f50b5f15f971af05","observation_id":"2a6570b0-204a-46b5-8342-237569397643","resolution":{"observed_at":"2026-08-15T23:48:47.414315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:42.467186Z","title":"Lay- outdm: Transformer-based diffusion model for layout gener- ation","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.467186Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:3fc19e19c872b56e7388c3a0c3d6f2800d41e4aa1145a5c177669af5b442141c","observation_id":"a8f1974b-9c5b-4b58-b823-82129e37b20f","resolution":{"observed_at":"2026-08-15T23:48:42.467186Z","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":"2026-08-15T23:48:47.386959Z","title":"Two-stage content-aware layout generation for poster designs","venue":null,"work_id":"ddbebf6d-a160-481a-b1a1-17b35ebd886b","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.471570Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:a2b543bfd55b85f8e991f917cdf7718493b60631e9c03fe8e4920dbdd0e6af4f","observation_id":"1a276a50-84dc-4f45-80e2-2d8618df6bc2","resolution":{"observed_at":"2026-08-15T23:48:47.391580Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:47.340920Z","title":"Textlap: Cus- tomizing language models for text-to-layout planning","venue":null,"work_id":"0c85f916-d660-4d6e-bce4-7d90d3a30bbe","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.475878Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:57e29b8e89b7bcadd0c31c020774d552c3945a4405db0a936ab293b39106d440","observation_id":"2f7fdf7b-5734-4616-a9b7-30d1fb40b4ca","resolution":{"observed_at":"2026-08-15T23:48:47.376615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:47.151103Z","title":"Scalable vector graphics (svg) 2.0 specification","venue":null,"work_id":"5629a410-e064-47f2-8136-ed1e55400653","year":2002},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.558410Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:9692dfaa3228f6500d298134fb0cb2de483eaca59ba081dd85b3650a889612cb","observation_id":"06a44ef7-1a7f-428f-beed-735408f3e544","resolution":{"observed_at":"2026-08-15T23:48:47.249017Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:47.136949Z","title":"Cross modal adaptive few-shot learning based on task dependence","venue":null,"work_id":"fbf12fd4-bd93-4cfd-be6e-5d2612078311","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.656275Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:c4322abb9f31e7222a80f357f9377443808f26be1452181e8e8ab62abf756d50","observation_id":"3aa7ee67-1efb-4c86-b6a3-e9034b51fe4b","resolution":{"observed_at":"2026-08-15T23:48:47.142003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-15T23:48:42.725750Z","title":"The llama 3 herd of models","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.725750Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:e308efcbe444f9e837dc0168847634ca1993ab9ade25d682d6be7892f81289f7","observation_id":"796469be-1b37-44d0-a829-4ee510f5972c","resolution":{"observed_at":"2026-08-15T23:48:42.725750Z","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":"2026-08-15T23:48:47.123008Z","title":"Layoutgpt: Compositional visual plan- ning and generation with large language models","venue":null,"work_id":"32935231-fba0-4f78-9fde-3a68c873a451","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.732428Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:10e040be4aceda8c311a58fc66c38b7fb083c4f02da2578c8fb9deba19507e88","observation_id":"03d33190-22c2-4471-8b65-972d3279397f","resolution":{"observed_at":"2026-08-15T23:48:47.128083Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:47.109237Z","title":"Dream- sim: Learning new dimensions of human visual similar- ity using synthetic data","venue":null,"work_id":"52d08f1d-f654-4cc6-8813-89b313e4c1d0","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.736771Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:d1329a4f6a78f477a758453be59c0dc8ac8ce73e037b92af85afa407acf93ebc","observation_id":"9a250d7a-b7d9-4ca1-a261-7e78b84d7055","resolution":{"observed_at":"2026-08-15T23:48:47.113762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.925884Z","title":"Vinci: an intelligent graphic de- sign system for generating advertising posters","venue":null,"work_id":"581b54ff-3b5d-4a86-89a6-23a55fefb811","year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.740457Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:d00a195a4b15851ad83312ef5362473fe0b9847d1d51b6e3b3ef9d0e6d3e0cbb","observation_id":"46b15004-ed84-4d6e-8ea4-11b69edd29e6","resolution":{"observed_at":"2026-08-15T23:48:47.045947Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:42.744068Z","title":"Layout- transformer: Layout generation and completion with self- attention","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.744068Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:c82476cc824346e56bf864559493ff4401efadc7325acbe590332ec93e8c6757","observation_id":"6c233c2f-96f2-45a0-9dbd-2fdddf48f77c","resolution":{"observed_at":"2026-08-15T23:48:42.744068Z","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":"2026-08-15T23:48:46.902335Z","title":"Fine-grained cross-modal fusion based refinement for text- to-image synthesis","venue":null,"work_id":"06599d1f-b217-4a09-9b28-e7a161b1518c","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.747430Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:ab7a1a0cc9eb7e87d3c97d096ae9e1abed4b7e58b10abc148cbe7cafb5547ef9","observation_id":"51a51d15-1785-4cff-9ed5-bac10cc178ad","resolution":{"observed_at":"2026-08-15T23:48:46.907372Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.888823Z","title":"Retrieval-augmented layout transformer for content-aware layout generation","venue":null,"work_id":"ac3dbc25-340b-47e7-a920-00eb2444b9f6","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.751222Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:eef8c988b8580c2e1520e505ea56632d4921b9957e051cc19d648abbaa22d19a","observation_id":"8e2a05f0-33ac-4584-83d1-a7582bc73ef4","resolution":{"observed_at":"2026-08-15T23:48:46.893173Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.875258Z","title":"Densitylay- out: Density-conditioned layout gan for visual-textual pre- sentation designs","venue":null,"work_id":"2142141d-8a51-435f-9430-5dc4fe6318f0","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.799650Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:66781aae514892d5832a54a71b7b35b533c6e936d12d0df7c82053c712c08099","observation_id":"11d78193-5a33-4d31-a7fd-3f0acf75da6c","resolution":{"observed_at":"2026-08-15T23:48:46.879320Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.680299Z","title":"Posterlayout: A new benchmark and approach for content-aware visual-textual presentation layout","venue":null,"work_id":"24ebca2e-0622-416e-80c9-64c0944bb6e3","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:42.968551Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:2eaa82022e2dc647a714df30d762d4e56c98dcd9dc768920a92037be198179cb","observation_id":"7eaf0458-767a-40b2-8bef-bfb9f0cfb879","resolution":{"observed_at":"2026-08-15T23:48:46.748604Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.09685","last_updated":"2021-10-16T18:40:34Z","snapshot_observed_at":"2026-08-20T11:47:17.477107Z","submitted_at":"2021-06-17T17:37:18Z","title":"LoRA: Low-Rank Adaptation of Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.09685","snapshot_observed_at":"2026-08-15T23:48:43.016551Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.016551Z"},"links":{"cited_paper":"/paper/2106.09685","citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:0d23e93e3bca0c20a5519782d398dc7021f5abe8c84d28d6e75eb3bb454a5460","observation_id":"b0c7aa35-0396-46a3-8f81-eca8ddf2c4fc","resolution":{"observed_at":"2026-08-15T23:48:43.016551Z","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":"2026-08-15T23:48:46.666321Z","title":"Layoutdm: Discrete diffusion model for controllable layout generation","venue":null,"work_id":"da9c119f-3561-4bd1-a2f5-c8da5796185f","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.021236Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:0075a9d089ca46f23b99979d813019aed8004f7b4b369ff8bdc3a7651db3978f","observation_id":"56aaccb6-9ae0-40f8-bd11-fb129a4bd083","resolution":{"observed_at":"2026-08-15T23:48:46.671182Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.600383Z","title":"Scaling up visual and vision-language representa- tion learning with noisy text supervision","venue":null,"work_id":"9ec24cfb-9c94-48a8-ae53-c21138cbb22e","year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.025526Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:f709680a846d291520ef7dc07c0c409f07d21eb22daf636160d0d77577c2580b","observation_id":"67a9479d-168f-4263-9d0c-43335a4d717e","resolution":{"observed_at":"2026-08-15T23:48:46.656779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.508172Z","title":"Constrained graphic layout generation via la- tent optimization","venue":null,"work_id":"fada3398-9422-4ce7-a23b-fd9fc771e4a9","year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.029476Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:0dfaf72517297b476d3d267501c6ec3ea9b0d3a5e4343c618bc9190579c9b1b9","observation_id":"c0190027-460f-47ed-9305-2066221be11d","resolution":{"observed_at":"2026-08-15T23:48:46.513676Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.347854Z","title":"Understanding catastrophic forgetting in language models via implicit inference","venue":null,"work_id":"75f30a0b-8ee6-4f50-a8f5-f2de872569cb","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.033289Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:716e9cb48a4767b45d35107bda510ebcb4072038f87077e4be66ad02c3ebfb14","observation_id":"faceaf2d-40e0-4a68-b062-e0c3ed70c239","resolution":{"observed_at":"2026-08-15T23:48:46.448703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.182365Z","title":"Neural design network: Graphic layout generation with constraints","venue":null,"work_id":"ea98a899-47dd-44d9-90a4-46da2146451f","year":2020},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.038834Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:4d3f8c2724ed2cbab903b4b08c78b3fb59f8a6e7ff7b27d504fa3e8ff802b6bc","observation_id":"b8b831fc-d933-42b9-84e5-99ded484ee84","resolution":{"observed_at":"2026-08-15T23:48:46.338198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.049786Z","title":"Harmo- nious textual layout generation over natural images via deep aesthetics learning","venue":null,"work_id":"29c2d475-b69a-4cf9-9c8c-6146a26a2b31","year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.043063Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:12bc76c726dbd4bd9c43a17a653b5c62a1640a11de684b8faf0f637613842e95","observation_id":"0c942c1b-9120-4c79-837f-9754e55c8f58","resolution":{"observed_at":"2026-08-15T23:48:46.054459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.035179Z","title":"Relation-aware diffusion model for controllable poster layout generation","venue":null,"work_id":"e716687e-5a3d-4b44-ba0d-7f10fe117624","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.047110Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:fff6cd4422808b173e8d7eee09518a1b534eea7f7a958ed20a27421abc58095a","observation_id":"d86eb9d1-6197-4194-970f-20ec0499f936","resolution":{"observed_at":"2026-08-15T23:48:46.039457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.021348Z","title":"LayoutGAN: Synthesizing graphic layouts with vector-wireframe adversarial networks","venue":null,"work_id":"4abae5e1-b567-40fe-a68a-649a24e5717f","year":2020},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.052062Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:454e056dbbbfe9c1ae05a2121005bad9123fbef6378c65479a0fcc95e0f411fe","observation_id":"a90105fd-e784-4621-be95-9f59dcfe6498","resolution":{"observed_at":"2026-08-15T23:48:46.025793Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:46.006832Z","title":"Attribute-conditioned layout GAN for automatic graphic design","venue":null,"work_id":"a8a9c268-930c-4ace-9ddb-6af214551dfc","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.055606Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:55ccc6daf15200911ebbc588851b892de3eff304d8876e999c19e2640127f844","observation_id":"51cd83d0-0df7-4dd7-957f-cca7f58737f8","resolution":{"observed_at":"2026-08-15T23:48:46.011932Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.766814Z","title":"De- sign element aware poster layout generation","venue":null,"work_id":"ed97150d-6a32-4972-8edc-f85ad7bcc299","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.059351Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:bed3e8816b4d441ef432df954bdb7a7e87d5d109b2d6a2551c0cc132487dffaf","observation_id":"83a2e071-436f-4cd8-82f7-34ded4250953","resolution":{"observed_at":"2026-08-15T23:48:45.888137Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.753923Z","title":"Layoutprompter: Awaken the design ability of large language models","venue":null,"work_id":"4d6d36dd-f027-48e4-b924-05f8d1d9bcd0","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.076587Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:163305cfef4a279c43d93dffe99ddb1710631334cedd3e47fcafadce4f78ddfd","observation_id":"de35f553-bb82-417a-a35f-248f76721714","resolution":{"observed_at":"2026-08-15T23:48:45.758142Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.740382Z","title":"Autoposter: A highly automatic and content-aware design system for adver- tising poster generation","venue":null,"work_id":"5b107730-8e82-4fce-adf2-537b0f9a089d","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.213387Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:024e7c3c2d99f152d537a3e4a3d4897a5e22809cf54c3ec8a5b0db1602fb5d64","observation_id":"f3a86888-7247-4036-b62c-4203fc6091b5","resolution":{"observed_at":"2026-08-15T23:48:45.744946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08747","last_updated":"2025-01-05T04:09:00Z","snapshot_observed_at":"2026-08-16T00:12:56.001802Z","submitted_at":"2023-08-17T02:53:23Z","title":"An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08747","snapshot_observed_at":"2026-08-15T23:48:43.218444Z","title":"An empirical study of catastrophic forgetting in large language models during continual fine-tuning","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.218444Z"},"links":{"cited_paper":"/paper/2308.08747","citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:0406bc23b5b9495da596dff247f32a58b3490a9c6bcbdea06c851f990fc3f79e","observation_id":"8d933520-bfdf-417e-b0e8-520b71536c4c","resolution":{"observed_at":"2026-08-15T23:48:43.218444Z","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":"2026-08-15T23:48:45.645825Z","title":"Language models are few-shot learners","venue":null,"work_id":"04c0159c-094b-400a-9669-f735f1791eb7","year":1901},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.224422Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:0532747aa10c7cea598473a271c4a51f3a208c212564755e54fbbe2acf96323b","observation_id":"38cff2a1-22d3-4144-8175-c318c39e8207","resolution":{"observed_at":"2026-08-15T23:48:45.730853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.473559Z","title":"Llama 3.2: Revolutionizing edge ai and vision with open, customizable models","venue":null,"work_id":"43fb1f9b-4f1e-409c-bde4-c8df67f40fa1","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.229124Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:e3bf39ac93d7c397097efd81d3fbd2b75992728bb8949442d464ade1758d2556","observation_id":"04bb86a9-79d4-43e4-a26c-dad6f2e88e23","resolution":{"observed_at":"2026-08-15T23:48:45.541354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.07193","last_updated":"2024-02-02T10:24:09Z","snapshot_observed_at":"2026-08-17T13:03:40.359628Z","submitted_at":"2023-04-14T15:12:19Z","title":"DINOv2: Learning Robust Visual Features without Supervision","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.07193","snapshot_observed_at":"2026-08-15T23:48:43.234257Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.234257Z"},"links":{"cited_paper":"/paper/2304.07193","citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:436b475f0efc3a286fe128cc7a26f784934eab599a5d122f39d5897027162d0e","observation_id":"8b7376b9-189f-47a6-b1bb-d45171bcf35a","resolution":{"observed_at":"2026-08-15T23:48:43.234257Z","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":"2026-08-15T23:48:45.460758Z","title":"Training lan- guage models to follow instructions with human feedback","venue":null,"work_id":"b1af2aa1-2f86-45d3-8a3a-fca7ce3c3caf","year":2022},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.239489Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:8c02571c765ca03635c5206395ada10893f62334bb3bd44a1c77e2e4d4559cf1","observation_id":"c325b450-b6cd-42b5-a316-6416a9b4884d","resolution":{"observed_at":"2026-08-15T23:48:45.464864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.446955Z","title":"Dreamstruct: Understanding slides and user interfaces via synthetic data generation","venue":null,"work_id":"38619c0b-2356-4326-91b9-28e4a074ce43","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.404466Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:1025ed5aefa2bdb0956966b6496379eeea4e52aa79f787ba321c713d28d53c82","observation_id":"1c99887f-44cb-4b16-ba8e-aa29ff1fdd50","resolution":{"observed_at":"2026-08-15T23:48:45.452244Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.341142Z","title":"Basnet: Boundary- aware salient object detection","venue":null,"work_id":"da14f384-d3e0-4fff-9688-598f187d721b","year":2019},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.520101Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:ff942a4d9b57788ab53c45983f9ae2055f3b76b74767ea1fb9f35902a603474b","observation_id":"1c9b8a44-ae3a-4372-8eba-a3f72d35d075","resolution":{"observed_at":"2026-08-15T23:48:45.437235Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.130205Z","title":"Highly accurate dichotomous im- age segmentation","venue":null,"work_id":"6cc8a38a-f626-4123-8fc0-11d6c0606ca0","year":2022},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.568674Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:c35df148d102333684ed2f1d9ec81e601f1da33a24275b93fd8a1507eae4ea30","observation_id":"b4a850d3-7b7a-4faf-839b-19e7d770e1d3","resolution":{"observed_at":"2026-08-15T23:48:45.242395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.116457Z","title":"U- net: Convolutional networks for biomedical image segmen- tation","venue":null,"work_id":"1a2074fd-28ec-4dfe-93c9-d82d931287ba","year":2015},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.573748Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:ec644ac174dce3d77c86ff8316d54b379c1238b15adf94d39f153cbd305a4dc9","observation_id":"189065a6-5ce1-4303-8717-265d04fc931a","resolution":{"observed_at":"2026-08-15T23:48:45.120961Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.12950","last_updated":"2024-01-31T19:47:26Z","snapshot_observed_at":"2026-08-18T03:59:39.242039Z","submitted_at":"2023-08-24T17:39:13Z","title":"Code Llama: Open Foundation Models for Code","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.12950","snapshot_observed_at":"2026-08-15T23:48:43.578998Z","title":"Code llama: Open foun- dation models for code","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.578998Z"},"links":{"cited_paper":"/paper/2308.12950","citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:421cddd9ab0d496d8c336ba54588da891dd57b9b0758dabaadff33c65b2efbb9","observation_id":"97cfd256-a5ab-4473-80af-eea9814bc3b2","resolution":{"observed_at":"2026-08-15T23:48:43.578998Z","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":"2026-08-15T23:48:45.101321Z","title":"Laion-5b: An open large-scale dataset for train- ing next generation image-text models","venue":null,"work_id":"fce1b9ea-bd93-4e2c-a1aa-3354d2b56de3","year":2022},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.584927Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:d00ff50f0792525fb3e2bf6f0f3cc02e2effcc17e15dee59fd1d9676f8a660b3","observation_id":"b887bdd2-5cdb-4880-b844-44d73cc71d09","resolution":{"observed_at":"2026-08-15T23:48:45.106251Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.086696Z","title":"Posterllama: Bridging design ability of language model to content-aware layout generation","venue":null,"work_id":"dc54776b-a5ed-4fc8-a7a7-adc2d15038bb","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.589987Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:359f131668b320a2ee7bde0203d5cc68f55b7d878734dcb9e016fc1fbaaeb047","observation_id":"c7203835-d441-4a59-bf39-199482f63ee2","resolution":{"observed_at":"2026-08-15T23:48:45.090810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:45.003918Z","title":"Resolution-robust large mask inpainting with fourier convolutions","venue":null,"work_id":"729303f2-16cd-4320-b08b-0a577fc26275","year":2022},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.610689Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:a40d9ef7dfcda1f4e4114313fc1d6c720e8b2492c2ff5c6ea78a605a2997c846","observation_id":"4c0f9e68-c7f2-4feb-9b3c-e25efc3e53fe","resolution":{"observed_at":"2026-08-15T23:48:45.076349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.874895Z","title":"Lay- outnuwa: Revealing the hidden layout expertise of large lan- guage models","venue":null,"work_id":"1d6a2f52-13cf-4afe-a934-2ea21c44c3ad","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.697295Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:3b81302e648d4b201a2a3a46ef83f1722370c4a72f543bce03a57e15aa10ab0b","observation_id":"4abbea80-9d52-4c5c-a90b-717cc552094d","resolution":{"observed_at":"2026-08-15T23:48:44.879460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-15T23:48:43.746444Z","title":"Llama 2: Open foundation and fine-tuned chat models.arXiv preprint arXiv:2307.09288, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.746444Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:3d2b51f1e1dbcb9fc8c3df2c778137f7144020d5dd7e92eff1c3745cd9247ca1","observation_id":"de096764-d7f0-4e86-8109-3197a084c7d2","resolution":{"observed_at":"2026-08-15T23:48:43.746444Z","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":"2026-08-15T23:48:44.861022Z","title":"Progressive feature polishing net- work for salient object detection","venue":null,"work_id":"2d91b979-885d-4e85-847a-875cedeff18d","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.849310Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:3ef92a36189740a96de5b157325382cf2886dbcea300f903fe96bf13418fcd31","observation_id":"60c5d8b1-d20f-4dde-b759-302913917466","resolution":{"observed_at":"2026-08-15T23:48:44.865096Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.845386Z","title":"Prompt2poster: Automatically artistic chinese poster creation from prompt only","venue":null,"work_id":"dad2f3ab-15f7-4a36-8bc1-d80b78786958","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.853926Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:400bafdcf239651490593403f15b70576b0d4c0c98d1a0eafaaa43f948ec040b","observation_id":"ea8882db-b31c-4531-b3fe-619a32a2bc3e","resolution":{"observed_at":"2026-08-15T23:48:44.850754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.830827Z","title":"Desigen: A pipeline for controllable design template generation","venue":null,"work_id":"c4ceb156-eabf-4f9e-9d5a-6eddb6e43d78","year":2024},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.858256Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:abab06eeb25b812d5a79ba0395440a7183044f130beaced67d0deb12693b9744","observation_id":"5855b3c9-c03d-4cf7-8a1d-f7ff22e397a3","resolution":{"observed_at":"2026-08-15T23:48:44.835726Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.817217Z","title":"Segformer: Simple and ef- ficient design for semantic segmentation with transformers","venue":null,"work_id":"9b9cde5d-c0f5-4bb9-a2bf-3e9db9e5951f","year":2021},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.862469Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:c46c5216c18d74f66f2bead1a101adc08e9990a71aca28970717974ca7531c2b","observation_id":"4842946f-1120-45ee-81e1-12065b6bc884","resolution":{"observed_at":"2026-08-15T23:48:44.821740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.768433Z","title":"Unsupervised domain adaption with pixel-level discriminator for image-aware layout generation","venue":null,"work_id":"b3a0f3a7-4f40-4436-b652-90eb3ebecc17","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.866459Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:49378ec79d3704fb23bce6f2b2c8532a13cdd461ecfa8b5991f663610b83e5f9","observation_id":"0df40efd-14a6-4ff6-a2e1-910661c6c419","resolution":{"observed_at":"2026-08-15T23:48:44.807058Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.572927Z","title":"Toward human perception-centric video thumbnail generation","venue":null,"work_id":"55057e98-33ec-4f33-8b4a-33e6f1133d86","year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.870819Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:d2212ee7dd158e7a008337ebb10702f04fdd6298b2181d7bba58ff282f11abb4","observation_id":"55d33551-fa0e-42a4-92d4-26f71342c914","resolution":{"observed_at":"2026-08-15T23:48:44.662458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:43.874535Z","title":"Adding conditional control to text-to-image diffusion models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.874535Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:7cd29b25bc6b1b95f1f426e976e4f2e7f19cd18633c0152a99f5d44b49b943c3","observation_id":"4b08081a-c30d-4913-b4f5-0e72fa68f3e5","resolution":{"observed_at":"2026-08-15T23:48:43.874535Z","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":"2026-08-15T23:48:44.550928Z","title":"Composition-aware graphic layout GAN for visual-textual presentation designs","venue":null,"work_id":"e2469152-0399-4d7e-8ba8-3dab5be24b14","year":2022},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.878660Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:8126fc46c30399a7ad0b988c34ec3ef3d544d8c0abb67a8df5514202ecd1010b","observation_id":"01ac46b2-f5ca-42b2-a865-e5ee36237c0e","resolution":{"observed_at":"2026-08-15T23:48:44.555471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10592","last_updated":"2023-10-02T16:38:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-20T18:25:35Z","title":"MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10592","snapshot_observed_at":"2026-08-15T23:48:43.882821Z","title":"513\" height=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:43.882821Z"},"links":{"cited_paper":"/paper/2304.10592","citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:74566ac2b1f469686d31f9662dd0f293c2232f24c305bca91d2f28487874a52e","observation_id":"f8fc265c-4bbb-406a-89ee-36137166e9de","resolution":{"observed_at":"2026-08-15T23:48:43.882821Z","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":"2026-08-15T23:48:44.523244Z","title":null,"venue":null,"work_id":"ee8a4621-b980-4849-acb4-013f64cf8296","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:44.056399Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:d5f3c8550251901900e1d32e8e83a7c4c1da1875bec75ef4fcadde07871de3b0","observation_id":"c8695217-efa9-499e-9362-28c111e5233a","resolution":{"observed_at":"2026-08-15T23:48:44.527325Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.508716Z","title":null,"venue":null,"work_id":"20e75e37-f677-42cb-a3e9-6c0bb45a40f3","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:44.060884Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:008664ebaf029d7e115dce2b53e31e1cfd26d8b5ab36513d0da1d3abd588e6ee","observation_id":"12cb1916-d1bd-4d28-b11d-692afdca919a","resolution":{"observed_at":"2026-08-15T23:48:44.512566Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.446916Z","title":"If intersected, <rect> should be resized or moved","venue":null,"work_id":"d35b1515-3d6c-4e57-b07d-fd956142ae44","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:44.065558Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:c94d82de94bb9da586448dfa429dad5a8a03a249ebf6038f8c6d67adec773f7f","observation_id":"5bb5b128-53df-41bd-9928-ab4855442d8b","resolution":{"observed_at":"2026-08-15T23:48:44.497999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.328744Z","title":null,"venue":null,"work_id":"51668212-7657-4ed2-8703-a4b1f8e0d79a","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:44.069573Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:e78b97800200ace79548d7b8622f503b496ce73c764ebf14ebf614efb3252452","observation_id":"530f6efa-466b-42f6-8140-5cd2d1c9973c","resolution":{"observed_at":"2026-08-15T23:48:44.333048Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.313771Z","title":"If intersected, the tags should be resized or moved","venue":null,"work_id":"27a7c25a-1fec-4d63-8988-4325a0d2636e","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:44.073995Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:751ea69b497ff9ca3b96bf4305def7cdd5b5e07c231942d3e6674849d6c527a0","observation_id":"0712e369-0366-4585-889e-afb95a0a28e2","resolution":{"observed_at":"2026-08-15T23:48:44.319293Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.537020Z","title":null,"venue":null,"work_id":"3a44dad6-ff42-4e8c-9146-402627e722b3","year":null},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:44.078267Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:eaac8f04a0b24ec72c319e42118f876dc15f51510e3daf9c2aa29a07a9a89539","observation_id":"2e129ffb-7961-4b01-b1ac-8a8cccc5c8e9","resolution":{"observed_at":"2026-08-15T23:48:44.542074Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T23:48:44.207602Z","title":"513\" height=","venue":null,"work_id":"f5bdc07c-b084-4a11-8821-d8565923c468","year":2000},"citing_paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-15T23:48:44.082074Z"},"links":{"citing_paper":"/paper/2505.07843"},"observation_digest":"sha256:0cb2d99d69ab855f8f2a7850b7728f3fd932a6465a4595faf50511d1549b6c65","observation_id":"3663c044-4330-4417-a07c-ffdad39c0472","resolution":{"observed_at":"2026-08-15T23:48:44.266110Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.07843","last_updated":"2025-05-27T02:41:23Z","latest_version":2,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-19T15:58:12.965185Z","submitted_at":"2025-05-06T18:42:24Z","title":"PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation"},"reference_resolution":{"displayed":63,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":48},"total_outbound_references":63},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 1 inbound Pith citation observation for arXiv:2505.07843."}