{"as_of":"2026-08-06T03:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8a28017c58bbc204dd0d2d6da2fd9ca5abffcd3ed3c78489e9a53d19f5abe7f0","coverage":[{"denominator":46,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":46,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-16T08:38:26.932267Z","state":"measured"},{"denominator":47,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":47,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T06:58:59.863002Z","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":"2026-06-29T07:03:13.015730Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"cited_work":{"arxiv_id":"2603.29585","doi":null,"metadata_source":"pith","pith_arxiv_id":"2603.29585","snapshot_observed_at":"2026-06-29T07:03:13.015730Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","venue":"cs.GR","work_id":"a8aa8df2-4599-460b-a3cb-519ed899e736","year":2026},"citing_paper":{"arxiv_id":"2605.30512","last_updated":"2026-05-28T19:49:27Z","snapshot_observed_at":"2026-07-06T23:39:48.531480Z","submitted_at":"2026-05-28T19:49:27Z","title":"PhyDrawGen: Physically Grounded Diagram Generation from Natural Language","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-29T06:58:59.863002Z"},"links":{"cited_paper":"/paper/2603.29585","citing_paper":"/paper/2605.30512"},"observation_digest":"sha256:c9db98925ec2802d77d809ac0947cc6b3727e29d57379aa656f2ffc96755bca5","observation_id":"8945fb37-81c9-4032-9068-bf26e3c05ab4","resolution":{"observed_at":"2026-06-29T07:03:13.016982Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2603.29585/citation-record","integrity":"/paper/2603.29585/integrity","json":"/paper/2603.29585/citation-record.json","paper":"/paper/2603.29585"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Christensen, Hao Su, Jiajun Wu, and Yunzhu Li","venue":null,"work_id":"49680140-8177-4348-8d70-dd62317fb3de","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:70947af5fafdee7b7bb5c181a1ad38b1cf2bee6a35ccaf2c54699376a3060da4","observation_id":"ed8b2516-dd78-4072-9675-b2893f14991f","resolution":{"observed_at":"2026-05-16T08:40:47.060756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Guided open vocabulary image captioning with constrained beam search","venue":null,"work_id":"cfaa2ded-dca8-43ba-811a-9c8b3edf6b5e","year":2017},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:654f023857eb88b951391ce3d10ffdab6588f844b00a26ef8090630d9ca1c64c","observation_id":"077d9dcf-63e9-4ef1-8712-7ea7b413397e","resolution":{"observed_at":"2026-05-16T08:40:47.056684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"The complexity of flat origami","venue":null,"work_id":"91102ef7-442f-438c-b3b3-5658b9422d63","year":1996},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:e7f29d5a3676ef8c0f580f76ae7c8bd9dfbc0c241685c6118e659d96055bb84e","observation_id":"0796b9d0-9e86-4636-a73d-da7e722c8f95","resolution":{"observed_at":"2026-05-16T08:40:47.054325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Genie: Gen- erative interactive environments","venue":null,"work_id":"b2472289-6afb-41a8-92e6-7d975b53d318","year":2024},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:bff533f925ba7bfb440ec229422588b41e1dab1fc1bcd96ab54198dec2107e89","observation_id":"cc966d5c-c7b2-42ef-930a-3983b71f2f12","resolution":{"observed_at":"2026-05-16T08:40:46.992140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Ge- nie: Generative interactive environments","venue":null,"work_id":"546b3a26-823f-492f-a78f-2f0fdc4e87a2","year":2024},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:69a05aaa3fc0a6fe25f7a44e4f00ade51993642d179e8922e6df111407465aa5","observation_id":"e9a0a6fd-ad3d-49ba-8b79-722aa81d2b17","resolution":{"observed_at":"2026-05-16T08:40:47.023394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Scene- dreamer: Unbounded 3d scene generation from 2d image collections.IEEE transactions on pattern analysis and ma- chine intelligence, 45(12):15562–15576","venue":null,"work_id":"441aa62b-7276-4605-be2e-ecb69f95333f","year":2023},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:eb4129f383bbed98b91591ff0afed8e04f3b49aac1a880cf94c9c6d7e8e3a849","observation_id":"c926b6ba-2856-4743-a135-d121805e74fc","resolution":{"observed_at":"2026-05-16T08:40:47.052184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Cambridge Uni- versity Press","venue":null,"work_id":"baa36319-2be9-4651-8e3c-c005b548b7a4","year":2007},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:79aed0f600cc5a70cb6ff2ebfcc3fdaaabffece42e00645e4e3499e2a97046f0","observation_id":"f4199876-3e3b-411b-aaab-d8a5cd73cd2f","resolution":{"observed_at":"2026-05-16T08:40:47.064874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Get3d: A generative model of high quality 3d tex- tured shapes learned from images.Advances in neural infor- mation processing systems, 35:31841–31854","venue":null,"work_id":"b2b16068-f0e0-492a-85ea-fe1937b9f3d4","year":2022},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:e9477bfc085072421149d25123036c5952b3d4eb1ff192e4805fbaf901e01c76","observation_id":"2a58a279-8034-4813-9b61-05fc94d57d58","resolution":{"observed_at":"2026-05-16T08:40:47.044867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Fast, interactive origami simulation using gpu compute shaders","venue":null,"work_id":"8645ff2f-d541-4201-8077-c7026e0f99d2","year":2018},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:1c88b2527d5af50fa848c8ec5edce6b808281405243e18320d15df8c76533a19","observation_id":"53dd866e-4b22-4a10-95ee-81458d8351dd","resolution":{"observed_at":"2026-05-16T08:40:46.983159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Learning latent dynamics for planning from pixels","venue":null,"work_id":"d22d3857-d746-4258-a976-e22239dc26d0","year":2019},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:1ea9b91ad3edbc641bf6683a9915969295b0d13a07d35c6271dc3b3ffc001fb2","observation_id":"d036e72b-8ff3-4019-aefc-3c30603188ea","resolution":{"observed_at":"2026-05-16T08:40:46.980742Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Dream to control: Learning behaviors by la- tent imagination","venue":null,"work_id":"a6ce091f-01da-4f45-abec-2f6cdb603580","year":2020},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:7b82a7815f275f244658e74fca2681ba32c9e244c8a1b812c8453285a8f961b2","observation_id":"24ff83fa-2a55-4ae2-bd3e-4987073ad261","resolution":{"observed_at":"2026-05-16T08:40:47.042348Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"608f660b-40db-4903-940b-71b06e88f303","year":2023},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:82df980dd189572ea8ae840caf9037d8e1f2facd8a73e0c377caf8832aed9019","observation_id":"c9727009-4a3b-4e8a-ab89-9bf0f7850430","resolution":{"observed_at":"2026-05-16T08:40:47.015208Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":"1f623256-68fe-42f5-8561-fa2b046c6051","year":2022},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:f9c5e9549a3b5c14cc7cb11ffe63fb0358242adb506b6ef8bda3008675716f9a","observation_id":"95a5c610-72de-400b-91ca-31e0de9bb308","resolution":{"observed_at":"2026-05-16T08:40:47.030930Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Vistav2: World imagination for indoor vision-and-language navigation","venue":null,"work_id":"fd61d212-5061-4a8d-a915-896c3ea03789","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:f6ced8d77ba946717dff3b87c9985cbe14e44e1f76953dac2b30c929aafe45b6","observation_id":"05918a09-aa1a-4877-88f9-a5f563e093d0","resolution":{"observed_at":"2026-05-16T08:40:47.036292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0b6d789a-a919-4ada-a010-eba6c0497dd3","year":2002},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:41a781a1af0cdb351e77616f1034ba17eb179e98d3f7a6b5d0d5fc0c62e5cf31","observation_id":"016d7c8a-a6bb-4d59-bae3-f5cd556a3a73","resolution":{"observed_at":"2026-05-16T08:40:47.053206Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Image genera- tion from scene graphs","venue":null,"work_id":"d1059e9e-3296-4c26-a118-fc455c542a93","year":2018},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:aa18bdded072d226d08228987703f8968362ed6edcb44adbac7e4f0ee411c4f7","observation_id":"27a95d7d-c77b-4344-a79c-bbf0a4db3f9e","resolution":{"observed_at":"2026-05-16T08:40:47.058381Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Ln3diff++: Scalable latent neural fields diffusion for speedy 3d generation.IEEE Trans- actions on Pattern Analysis and Machine Intelligence, page 1–18","venue":null,"work_id":"544f9bfe-74ad-4c0b-955a-1eb679b10435","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:fc8d87c84b3681edad57877c64ec615972e9796fbb2cb25736394ccc1812fe9c","observation_id":"0b7c737c-8bdd-4f9a-ba47-3751f0051d2b","resolution":{"observed_at":"2026-05-16T08:40:47.055542Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"CRC Press, 2 edition","venue":null,"work_id":"af3f028d-219d-46b9-ab98-3ba28bbe0e7a","year":2011},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:05a21edf7918e1e178bfb64ee6ec4de45a8d6cbeacef95be75e1ce6cda896939","observation_id":"3eb1de42-cb6c-437f-8c2f-3bccf9f7323b","resolution":{"observed_at":"2026-05-16T08:40:47.047106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Learning fabric manipulation in the real world with human videos","venue":null,"work_id":"64333f71-26d8-4288-bad2-9f9d34e1d116","year":null},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:f6883d86084838660ffcb952046c818da3c05ab352e6c8c4d1e61d9eb9bfbf35","observation_id":"f56f2314-8dd4-430c-bf3c-fbd5f99d4dcb","resolution":{"observed_at":"2026-05-16T08:40:47.049779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Step1x-3d: Towards high-fidelity and controllable generation of textured 3d assets","venue":null,"work_id":"25d21e74-e887-4810-831f-55e0ab7bb37a","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:6cd26f78b18b6ffd82755b00ee0a0cfb9dd01970390b9290e315762d03d0b1de","observation_id":"7fb05584-9c62-4a85-ac07-8ac2740f0cea","resolution":{"observed_at":"2026-05-16T08:40:47.033292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Folding deformable objects using predictive simulation and trajectory optimization","venue":null,"work_id":"f4b19065-e996-4b00-b48c-36c5acbdd154","year":2015},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:1b55e1cc8fc2872221540bb8d906862f9f883e6deb29589075a89a219f86a929","observation_id":"bdc4fe32-8217-47fc-8d0a-84c1933c60dc","resolution":{"observed_at":"2026-05-16T08:40:47.035839Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.06608","last_updated":"2025-03-27T17:25:50Z","snapshot_observed_at":"2026-07-06T20:34:02.031605Z","submitted_at":"2025-02-10T16:07:54Z","title":"TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models","version":3},"cited_work":{"arxiv_id":"2502.06608","doi":"10.48550/arxiv.2502.06608","metadata_source":"pith","pith_arxiv_id":"2502.06608","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models","venue":"cs.CV","work_id":"bf744acd-a6e4-4ba7-98eb-43811d95fa81","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"cited_paper":"/paper/2502.06608","citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:c4d152143dd6b30568c4b99a9542e879b9f7dd4c5e845b6d0482e8ea7c367d57","observation_id":"64b407a4-4cf3-4a7b-a0c4-17ace3c6bcf0","resolution":{"observed_at":"2026-05-16T21:51:18.894127Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20720","last_updated":"2025-04-29T13:00:32Z","snapshot_observed_at":"2026-07-06T21:16:27.689435Z","submitted_at":"2025-04-29T13:00:32Z","title":"Learning a General Model: Folding Clothing with Topological Dynamics","version":1},"cited_work":{"arxiv_id":"2504.20720","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20720","snapshot_observed_at":"2026-07-03T17:08:43.492778Z","title":"Learning a general model: Folding clothing with topologi- cal dynamics","venue":null,"work_id":"5183b2c0-661d-4a8a-a0da-d7b1a0759963","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"cited_paper":"/paper/2504.20720","citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:9934d782ef1ac974db6a40687c79b80523139e4c264d80f6512adc862449bf73","observation_id":"d26d65e1-95ef-42c4-87ac-b5c222cf67f8","resolution":{"observed_at":"2026-05-16T08:40:46.434186Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2512.19221","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"From pixels to predicates structur- ing urban perception with scene graphs","venue":null,"work_id":"271a0eaa-000b-4a07-b4ab-18d18efee5c1","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:db27b26664ca204007c7b71589dc9d20a5e51d85886ae018c8ff0ba288eea810","observation_id":"50e950c9-8e1a-4607-8fe8-949ba321f081","resolution":{"observed_at":"2026-05-16T08:40:46.423468Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"fd93df2c-772c-4ad6-b838-643f8c4c3af9","year":2024},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:a8801ea737119f1dde601fa17b87aa77a8ab707874480089788cc84eea77ad2b","observation_id":"adcca632-8249-437e-89ba-234eba189f64","resolution":{"observed_at":"2026-05-16T08:40:47.040686Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding","venue":null,"work_id":"08f9d707-1641-4ab2-aa10-90be8073d08d","year":2010},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:dab3c922d5fb0f1a68f1583c9150e6997bedc18f3dc8d43118274f4100443db4","observation_id":"a9109ca8-55e8-43ef-ab0b-4a7e16db5f0e","resolution":{"observed_at":"2026-05-16T08:40:47.048210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2212.00842","last_updated":"2022-12-15T14:01:12Z","snapshot_observed_at":"2026-08-04T04:38:32.997325Z","submitted_at":"2022-12-01T20:00:00Z","title":"3D-LDM: Neural Implicit 3D Shape Generation with Latent Diffusion Models","version":2},"cited_work":{"arxiv_id":"2212.00842","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2212.00842","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"3d-ldm: Neural im- plicit 3d shape generation with latent diffusion models","venue":null,"work_id":"16d40344-14ca-4346-b4a8-c48212c48e6f","year":2022},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"cited_paper":"/paper/2212.00842","citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:fc8f6b542066475f57df9d59edd98f236c6ed6f0582564c1edea476df40d261e","observation_id":"c3394c61-6c26-436d-9a5f-af44a945227b","resolution":{"observed_at":"2026-05-16T08:40:46.424006Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Generating physically sta- ble and buildable brick structures from text","venue":null,"work_id":"a3fe6a6b-8672-4e62-9380-2a5b223c9490","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:24fa19ad6edc67358768e16e785f5b42018bb37b1a36c43202c56c8d75b703d8","observation_id":"24329ffe-a5eb-42d4-a75a-8b6149fa8fe2","resolution":{"observed_at":"2026-05-16T08:40:47.025846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Offline reinforcement learning from images with latent space models","venue":null,"work_id":"19549802-1082-4568-985d-6d2662cea2f3","year":2020},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:f837e8376f5139f2ea3800c027dfceea00090b7eb56427900e7749ca79e383b4","observation_id":"df214ef3-2cb1-4214-ab9a-a35b673007d5","resolution":{"observed_at":"2026-05-16T08:40:47.015619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Hierarchical text-conditional image gener- ation with clip latents","venue":null,"work_id":"1a1a612a-d1ac-4565-8e0c-9dd796830fd0","year":2022},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:53324796a999c085a111df8c112329cfcc4fe563b92e34e6200b781df27fdd0e","observation_id":"e2c3a0f6-dc0c-45d4-b359-5ffb4ead5097","resolution":{"observed_at":"2026-05-16T08:40:47.021019Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Avid: Adapting video diffusion models to world models","venue":null,"work_id":"30eaf535-16e9-4726-aced-3576934f3885","year":null},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:c4a96956a4a7626a3dbf8074631e817dc8c34491a899e31ea0bcc66f649e643d","observation_id":"a2646135-07a7-476d-bdcb-54567d96f10b","resolution":{"observed_at":"2026-05-16T08:40:47.029163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"High-resolution image syn- thesis with latent diffusion models","venue":null,"work_id":"5feada52-8376-43e3-9a7e-540ec1e74aa3","year":2022},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:a6c7cce5bff5a33e7d3816931277e9dc0e3e6ef3545dcc5700689e4174329f26","observation_id":"a0890094-c527-4e5f-a025-209029f915f2","resolution":{"observed_at":"2026-05-16T08:40:47.058716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.03267","last_updated":"2026-05-01T23:55:43Z","snapshot_observed_at":"2026-08-02T10:52:10.211700Z","submitted_at":"2025-12-19T07:05:38Z","title":"OpenAI GPT-5 System Card","version":2},"cited_work":{"arxiv_id":"2601.03267","doi":"10.48550/arxiv.2601.03267","metadata_source":"pith","pith_arxiv_id":"2601.03267","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"OpenAI GPT-5 System Card","venue":"cs.CL","work_id":"ca87689a-0d29-4476-b504-b65dbbb08af4","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"cited_paper":"/paper/2601.03267","citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:69804a00b945deba0c7e1a24146e983755c672071aa396923d7db6f027ab5d34","observation_id":"081491c5-51c9-4d68-87a7-19c859020416","resolution":{"observed_at":"2026-05-16T08:40:46.430431Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-03T00:38:11.458508+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T00:38:11.458508+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Simulation of rigid origami","venue":null,"work_id":"3d6f9981-5d79-41f9-8267-89d642557260","year":2009},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:c7b392b55cc9c6036519afb855574b8020689fed46ff7d632b9f69890a79d69b","observation_id":"d255c145-7606-4a12-a5f6-e475e596eedb","resolution":{"observed_at":"2026-05-16T08:40:47.062791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Freeform variations of origami.Journal for Geometry and Graphics, 14(2):203–215","venue":null,"work_id":"32443de3-1621-4033-a6df-a179f32c3383","year":2010},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:28700fc08a7331bb8460c358b57016ef868cf4a86bcfb054de8baf5891619f2b","observation_id":"1ccbb694-e690-4db1-ac96-17467efa8dff","resolution":{"observed_at":"2026-05-16T08:40:47.007687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Rt-2: Vision-language-action mod- els transfer web knowledge to robotic control","venue":null,"work_id":"c49a2bd4-9121-46f3-b28f-9884689fd698","year":2023},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:0cf03e4688ac27e9a3a79525093fc94e778bf88cd5aefd4316f59e7a696db760","observation_id":"72c5fa3d-6495-4847-85ab-b3154121e39b","resolution":{"observed_at":"2026-05-16T08:40:46.985797Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":"2312.11805","doi":"10.1038/nrn2888","metadata_source":"pith","pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Gemini: A Family of Highly Capable Multimodal Models","venue":"cs.CL","work_id":"83f7c85b-3f11-450f-ac0c-64d9745220b2","year":2023},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:b7210ce24c48170571e17a9d9e83f01f3686e1b5b3d8385be7651a0050ecd9c5","observation_id":"be368617-e268-4dce-a139-b266bee1b287","resolution":{"observed_at":"2026-05-16T08:40:46.412330Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Gemini robotics: Bringing ai into the physical world","venue":null,"work_id":"6114bcb1-4d41-4ecf-9056-6946714f8f5d","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:f045cbea795051573b59a2c3646d244deae5c4696d87dcd69f1492cc72dfee24","observation_id":"8f634543-aa4d-4b8e-a2b1-9d9d7b7ce0e6","resolution":{"observed_at":"2026-05-16T08:40:47.012066Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Gpt-4 technical report","venue":null,"work_id":"78a24309-5bc1-41de-8695-efc63f59d85a","year":2024},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:629664f23c9bd8495e13e2fab042683a66eaae37f9e839b7da7c33ac26a0ccb9","observation_id":"b8ee5286-24f8-4922-bb6c-d56b9c6a39d3","resolution":{"observed_at":"2026-05-16T08:40:46.999215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-07-09T15:46:19.967857Z","title":"Qwen3 technical report","venue":null,"work_id":"8eb29ad2-9ce1-4319-93bb-8c04dcbe31ca","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:635bd8ab576331cbeaad115fd5525460cfae20eb0565c56aaf84fb5d0b8e0948","observation_id":"82d08a31-c33a-4ee5-938b-11790776ed26","resolution":{"observed_at":"2026-05-16T08:40:47.001652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.11999","last_updated":"2025-08-29T22:59:16Z","snapshot_observed_at":"2026-07-06T20:53:09.196935Z","submitted_at":"2025-03-15T05:34:26Z","title":"Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation","version":2},"cited_work":{"arxiv_id":"2503.11999","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.11999","snapshot_observed_at":"2026-07-02T18:57:16.313723Z","title":"Diffusion dynamics models with gener- ative state estimation for cloth manipulation","venue":null,"work_id":"289d7975-35d2-490d-bae8-464b27439903","year":2025},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"cited_paper":"/paper/2503.11999","citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:9ea1bdb64a33c81f9994844682d0e8d55357a4373f5b4ee9068d2c42083b196b","observation_id":"c01b6d49-6a01-4e00-9fbb-9572f35008b5","resolution":{"observed_at":"2026-05-16T08:40:46.420823Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Sv3d: Novel multi-view syn- thesis and 3d generation from a single image using latent video diffusion","venue":null,"work_id":"b55a13a5-dc04-4794-b7d3-ec9f3f21bc14","year":2024},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:ee9737fd5d95f13c6a7a39d94050d924fcebce47103893a60e37aaa6d476ea96","observation_id":"7f4acdbd-1f6e-4e10-af9d-5b99623501c6","resolution":{"observed_at":"2026-05-16T08:40:47.004533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Prolificdreamer: High-fidelity and diverse text-to-3d generation with variational score distilla- tion.Advances in neural information processing systems, 36: 8406–8441","venue":null,"work_id":"67d5ac7a-afd1-4721-986f-82fd58ce660d","year":2023},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:dd139d09a3006cbcc51700ecacff9ceaca64c1f0e00a82020c1456069ec158a0","observation_id":"8a291eaf-8ed1-4f51-9e1a-2178ee1a4584","resolution":{"observed_at":"2026-05-16T08:40:47.010706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Scene graph generation by iterative message passing","venue":null,"work_id":"0a04af2f-56e8-40fd-a314-0a7680a94e66","year":2017},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:ecd1eaa3834ed845b9099e58c3e224b4e8d65e151be7c3cc3af0ccfc3db84f76","observation_id":"a41c0d67-c4a1-4e3f-8b7b-72b6e130d416","resolution":{"observed_at":"2026-05-16T08:40:46.991595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Control image captioning spatially and tempo- rally","venue":null,"work_id":"3727db14-83e8-4c4f-9a7b-be897315883f","year":2014},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:89f278020d66c6556d57bee79cf1736d168adcca71b3d06955adb34e17733b3b","observation_id":"9dcb8ad6-f987-464e-a61c-6850df2d4d1d","resolution":{"observed_at":"2026-05-16T08:40:46.994055Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+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":"2026-06-05T21:23:00.469572Z","title":"Vision-language models for vision tasks: A survey","venue":null,"work_id":"af68c161-a084-4c57-9c89-e719371d1400","year":2024},"citing_paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-16T08:38:26.932267Z"},"links":{"citing_paper":"/paper/2603.29585"},"observation_digest":"sha256:8fde6b0feae49adf0d5c7a04dededd8e104d7e85aa0b23e8ab217572eb2d1746","observation_id":"a5bffcd8-ebb0-4049-899e-917a4cf06237","resolution":{"observed_at":"2026-05-16T08:40:47.045885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2603.29585","last_updated":"2026-04-02T18:28:34Z","latest_version":2,"primary_category":"cs.GR","snapshot_observed_at":"2026-07-06T22:51:18.036225Z","submitted_at":"2026-02-02T11:24:19Z","title":"Learn2Fold: Structured Origami Generation with World Model Planning"},"reference_resolution":{"displayed":46,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":7,"verified_fuzzy":36},"total_outbound_references":46},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 1 inbound Pith citation observation for arXiv:2603.29585."}