{"as_of":"2026-08-04T12:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:53aceeed7793c0d19d1c06755b351d16b9f2080356a1928477b82c45565cdae9","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-08T15:07:11.204095Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2605.05572/citation-record","integrity":"/paper/2605.05572/integrity","json":"/paper/2605.05572/citation-record.json","paper":"/paper/2605.05572"},"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":"Unified conditional image genera- tion for visible-infrared person re-identification","venue":null,"work_id":"d9d97c7a-1ae2-4bb6-8703-fcbcea69b5ef","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:9654c8869301b896d6022c27ac01b1e039d9d9d6442c30961fbbb153685b01f4","observation_id":"cece332b-5371-4618-8f31-22a5dbb6ec37","resolution":{"observed_at":"2026-05-26T11:27:14.537473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Towards unified bi- jective image-text generation for text-to-image person re-identification","venue":null,"work_id":"28381422-9e4f-4620-acf4-c923abb4fe3d","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:8936de9c6e297048e0fceaab6db57b0cce000f897d960fa35771d01e9dfd0899","observation_id":"fe4e69b9-e5a1-4120-9dc9-0e436b2f130a","resolution":{"observed_at":"2026-05-26T11:27:14.553611Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"View-based 3-d cad model retrieval with deep residual networks","venue":null,"work_id":"836add29-321b-4ecb-a909-ff68f5446ec4","year":2019},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:2abdf9532cc59fe9653505db92feb2588be45ae46f438d2bcf7d4c96c2eea98d","observation_id":"8e68d29c-e02f-4c45-a8a3-2dabc1dd3f07","resolution":{"observed_at":"2026-05-26T11:27:14.540841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Complexgen: Cad reconstruction by b-rep chain complex generation","venue":null,"work_id":"fe0548e9-8f4d-4c93-a880-423d4d9b23f8","year":2022},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:499f771f8f6ec355e9034cb47f58e006772cb6ea2f0390b0a5acd0480ba7a577","observation_id":"bf1f80fb-9ad8-47ea-9ace-6b1ffad6f8fd","resolution":{"observed_at":"2026-05-26T11:27:14.530218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Brepgen: A b-rep generative diffusion model with structured latent geometry","venue":null,"work_id":"8851bc49-e770-4792-b2fe-06b4f5b69747","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:ef3dfc7cc9c525578d303a0f3e6f5aedc116753310c5bd0919300aedd8dea340","observation_id":"ed982d56-7d55-4b1d-b451-451ac908c8d8","resolution":{"observed_at":"2026-05-26T11:27:14.533817Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Cmt: A cascade mar with topology predictor for multimodal conditional cad generation","venue":null,"work_id":"1f600563-d2fc-456c-8750-f1801fb97501","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:abdbf783112ad2a0b9151dfc572928eccbe3bc91df38885ac556738a46725af6","observation_id":"77c040c7-7e97-4202-8b41-6450dac9ea39","resolution":{"observed_at":"2026-05-26T11:27:14.557394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Deepcad: A deep generative network for computer-aided design models","venue":null,"work_id":"ec908ae5-a711-4a2b-bad8-37a1abb30cf2","year":2021},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:2c551138ed69b12fe4b29f9995defbcd17c433c9530ba70c892da38ffb439e2e","observation_id":"4484f76d-1e5d-4243-a5cd-0b990543071e","resolution":{"observed_at":"2026-05-26T11:27:14.550407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Skexgen: Autoregressive generation of cad construction sequences with disentangled codebooks","venue":null,"work_id":"77a20e52-aeac-4fda-a8ce-ea8c52e8384e","year":2022},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:eb86ed4e36a37fb4ce4f780c0526e55dc75adb61cd60cd4bfc34c57f4fcf8394","observation_id":"e6fdab6f-e63b-43b8-bc48-2706518d4352","resolution":{"observed_at":"2026-05-26T11:27:14.547181Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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 neural coding for controllable cad model generation","venue":null,"work_id":"fcadd2e6-b3a6-4bac-9c41-bb46a7d3680a","year":2023},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:f87a4df5167464f52f2da9735845ac1c9351b16be1ab5c4f72419880bc31add6","observation_id":"da1f1ecd-84ba-47df-a128-f7e66896c87e","resolution":{"observed_at":"2026-05-26T11:27:14.543965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Diffusion- cad: Controllable diffusion model for generating computer-aided design models","venue":null,"work_id":"15aea63a-2b52-47ed-ab19-92fe8b704a0a","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:160e22dca3825441e59f7e1383b16fb4e5139b1eb5d37455b837cfe4340b638a","observation_id":"8b394ee6-27a1-485a-a5fe-dc69bf91ed99","resolution":{"observed_at":"2026-05-26T11:27:14.560371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Img2cad: Conditioned 3-d cad model generation from single image with structured visual geometry","venue":null,"work_id":"74247725-5b9c-4368-92fb-46a61174f019","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:f4de4732bff9e9b4d6aaa1372e34b90d131db23ffcc94086876d4a9e317a2c3e","observation_id":"7b7d1f9c-1a1a-4388-ad95-f53f43b88bd8","resolution":{"observed_at":"2026-05-26T11:27:14.429098Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Parametric primitive analysis of cad sketches with vision transformer","venue":null,"work_id":"ed1a14da-0a96-4f01-8ffa-676d386d83e2","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:c78108bd840f7c4b50abb8e39ecd28bdeb63251194c3b69b2f4e6b27792f722e","observation_id":"5627264b-8550-4e8d-94c7-68be053d233f","resolution":{"observed_at":"2026-05-26T11:27:14.505623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Text2cad: Generating sequential cad designs from beginner-to- expert level text prompts","venue":null,"work_id":"a0b3d65a-8b43-483f-960a-4fb01a109d54","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:f288c473aebdf3fad8201b8d7a77a7b7f30b15d82a1cfd25ccd3dff414f86b1a","observation_id":"e4115279-aa11-436f-9d24-2ec75275423f","resolution":{"observed_at":"2026-05-26T11:27:14.502147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Cad translator: An effective drive for text to 3d parametric computer-aided design generative modeling","venue":null,"work_id":"4c053365-c75e-48db-9075-9d3884d9f76e","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:a521ea3fe58a26636a73acdf5311f05c182d9cbf2fe63aa803c78d869ffac91b","observation_id":"74cd16db-2eba-422b-ac92-55e3f3687a5b","resolution":{"observed_at":"2026-05-26T11:27:14.457987Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-09T18:06:26.342596Z","title":"Learning transferable visual models from natural language supervision","venue":null,"work_id":"f6fa43d9-b6b3-4248-90e3-ab8a8a0ba2b2","year":2021},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:2d323c3ebfc71e55be6a3b0f0bc2f7a99a99fd320db67f712a0b46c8bd7decc6","observation_id":"95bde591-131a-446e-b691-cf223bd478a5","resolution":{"observed_at":"2026-05-26T11:27:14.491115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-07T20:34:09.846012Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding","venue":null,"work_id":"1df72c17-5cf2-4750-8a5f-749934f7ce53","year":2019},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:0af0c8c900c72bb6d1a1b52a939e7c48cd6e4f55a724bd896f60558286f5fd8b","observation_id":"e67fb976-c1c9-4387-a438-a5eca6eb80d7","resolution":{"observed_at":"2026-05-26T11:27:14.498136Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Pointnet: Deep learning on point sets for 3d classification and segmentation","venue":null,"work_id":"fa6aca88-c76a-4e61-865e-0273091c3b10","year":2017},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:dbf085ff06d3a7776a1789f7d80f81c6a3fb81dae95816b813a658828275d912","observation_id":"3a84fea9-3b0c-4ab8-a3e5-81cd634ef8b7","resolution":{"observed_at":"2026-05-26T11:27:14.450467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-07T23:44:22.396442Z","title":"Point transformer","venue":null,"work_id":"647cdd7d-66b1-45ad-a186-74b2a90d066d","year":2021},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:c031e4a51ccb4c4c818b807005bd55c71fd21b22414990394f2e786365db88e3","observation_id":"cbe48450-134a-4424-972e-ad28d92c98a3","resolution":{"observed_at":"2026-05-26T11:27:14.442275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Point transformer v2: Grouped vector attention and partition-based pooling","venue":null,"work_id":"cefbd297-7a07-40d0-a6a1-1e00bc5c5f8f","year":2022},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:035053ac906b8059cca0be42f701c181acf556c59ad564ca5cc4cb3a1aef0f49","observation_id":"0473143f-efe1-4a51-938f-45aa5b1645e8","resolution":{"observed_at":"2026-05-26T11:27:14.512243Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Evaluating retrieval quality in retrieval- augmented generation","venue":null,"work_id":"0f50c51a-6dec-428b-8d64-29382f78d55e","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:4bec36fda05e14de6be2840890a49b629ee626e3b80102f8fc97941003725401","observation_id":"4e137dd8-aceb-46df-8162-5d00729e2cca","resolution":{"observed_at":"2026-05-26T11:27:14.446218Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-09T09:46:13.472673Z","title":"Retrieval- augmented generation for knowledge-intensive nlp tasks","venue":null,"work_id":"ff6dfa2c-1f47-4244-8202-f5a3b57070af","year":2020},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:004571be7fdc570a41cf7849883860e22c0edc0e39b10e15d22c10e9ef269d6d","observation_id":"268c93fd-72cb-43ad-bdc3-6f40a4494319","resolution":{"observed_at":"2026-05-26T11:27:14.481692Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":"2312.10997","doi":"10.1186/1476-072x-8-72","metadata_source":"pith","pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","venue":"cs.CL","work_id":"b80d2790-6cd9-4c87-b3c4-de404f99a80e","year":2023},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:b4243e32c74401f80ac973aef6445517ca7be112f437f93f3316b2d27117f689","observation_id":"350e5b56-5d55-42ff-8ad5-484a2a6de956","resolution":{"observed_at":"2026-05-11T18:36:07.813827Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Revisiting cad model generation by learning raster sketch","venue":null,"work_id":"2eb60d7e-efa7-451b-b425-c62fe71940dd","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:36a62173937e86d927f84d90515ce8bb5991b1368db38b97f516d6d91badda47","observation_id":"4bb47c27-a7f2-47be-a029-208bf9ebdbe8","resolution":{"observed_at":"2026-05-26T11:27:14.485155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Cad-llama: leveraging large language models for computer-aided design parametric 3d model generation","venue":null,"work_id":"207b99a2-b506-4116-92e6-88d5e5c475fd","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:fc3f94606bbef1e0495d431187a88bdee4f82b17ee6ba41c961ab84163299df1","observation_id":"6f9417db-6be3-420e-a2be-bf6360af78e6","resolution":{"observed_at":"2026-05-26T11:27:14.494238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Flexcad: Unified and versatile controllable cad generation with fine-tuned large language models","venue":null,"work_id":"cd3d0522-098e-48d4-a2c8-03ae92e22149","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:211bdbb204e2759872da254a4659ff9b60264071a5c859dd992e171831d844cd","observation_id":"a48dec6b-f360-4738-989d-17ec0f6dccf8","resolution":{"observed_at":"2026-05-26T11:27:14.508912Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-10T07:46:57.067456Z","title":"The llama 3 herd of models","venue":null,"work_id":"87a971c0-99e0-4338-8a49-f8e7ee330f2d","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:9f50e1a43789e5a33fbfcb629686c98ff31b94b7fceb7040a3eeaacd04143d62","observation_id":"0b8ddd47-daca-4bd6-b1cc-d58d984193c8","resolution":{"observed_at":"2026-05-26T11:27:14.474884Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":"2303.08774","doi":"10.1002/tea.20265","metadata_source":"pith","pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"GPT-4 Technical Report","venue":"cs.CL","work_id":"b928e041-6991-4c08-8c81-0359e4097c7b","year":2023},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:448ada0cbea581b84e854148076926430cdb1ff01173561b40a1332a83a11ea8","observation_id":"408c4d7c-8245-441f-87d5-f11e561d4862","resolution":{"observed_at":"2026-05-11T18:36:07.783634Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Neural discrete representa- tion learning","venue":null,"work_id":"bbd0c822-2943-48fc-bca5-96550dbc2696","year":2017},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:cb3605a9cbeede833e310dd5fb20d25567b13400205e6ef84e5901ef39bee312","observation_id":"090573aa-002f-44c1-ab36-9e049e34157b","resolution":{"observed_at":"2026-05-26T11:27:14.461619Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Coca: Contrastive captioners are image-text foundation models","venue":null,"work_id":"caada9aa-b99b-4e76-bbe8-34d66553e57e","year":null},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:71b43a975a3c44d4a05d4831a6322aa7f7298f201dc99319be024d3d1ff74eb3","observation_id":"030260df-e8c9-48ed-89f3-be40d675b1e4","resolution":{"observed_at":"2026-05-26T11:27:14.465044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Llavanext: Improved reasoning, ocr, and world knowledge","venue":null,"work_id":"cb3c8bce-5db5-496c-bf6c-7d8c2b0d8958","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:b6557487610e702e6264ec69532463513ffc280d4c62055d1a37a1a89c100fba","observation_id":"3bfe8ab2-1494-4757-8a27-3904f6075bce","resolution":{"observed_at":"2026-05-26T11:27:14.526444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04088","last_updated":"2024-01-08T18:47:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-08T18:47:34Z","title":"Mixtral of Experts","version":1},"cited_work":{"arxiv_id":"2401.04088","doi":"10.48550/arxiv.2401.04088","metadata_source":"pith","pith_arxiv_id":"2401.04088","snapshot_observed_at":"2026-07-11T03:27:47.028679Z","title":"Mixtral of Experts","venue":"cs.LG","work_id":"0de8c352-9daa-4e1e-8c7b-3d0dec69f369","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"cited_paper":"/paper/2401.04088","citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:f8100c99302a5fbd06b0fa08e48f0be540289dd64d1f9986dc978de349d37b52","observation_id":"4241247d-1d80-42bb-ab7a-589ab293ccbf","resolution":{"observed_at":"2026-05-11T18:36:07.821457Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-09T08:48:39.110013+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-09T08:48:39.110013+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Text2shape: Generating shapes from natural language by learning joint embeddings","venue":null,"work_id":"8537d888-39dd-4e29-b577-750771110c08","year":2018},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:0e1eb7c05c9cc4c86a61113fc04c0813f84f559bf9daa1fa93ad1753d7f8a468","observation_id":"387da2d2-aec3-4636-b836-498931399a53","resolution":{"observed_at":"2026-05-26T11:27:14.468184Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Y2seq2seq: Cross-modal representation learning for 3d shape and text by joint recon- struction and prediction of view and word sequences","venue":null,"work_id":"86fd8a51-0642-4029-a517-d0b7c5678ed1","year":2019},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:c435ac8f6faaa18a8ccdd9146ea9cb0fc551aa7e31f0ef1c1fd8decca1040538","observation_id":"57b1f263-c64e-403e-8294-4a59dc04fe00","resolution":{"observed_at":"2026-05-26T11:27:14.471547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Parts2words: Learning joint embedding of point clouds and texts by bidirectional matching between parts and words","venue":null,"work_id":"f21cbeb5-5055-43ae-afc0-76f48f6e4f79","year":2023},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:64e74405e37666817bd10e07f8d57f794fb31e02383fa9ad67c53fd14c1429ae","observation_id":"38a3f954-f51a-48a5-b2bf-e1176a344a02","resolution":{"observed_at":"2026-05-26T11:27:14.478141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Tricolo: Trimodal contrastive loss for text to shape retrieval","venue":null,"work_id":"f08d1d29-3817-4d51-aacf-cc1c6ab9ad5c","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:5d9975aa86382ea0a57849feee741d9a8d38121780b62ced1a6e574cae4275e8","observation_id":"a6634f4b-50b4-4e8f-8ae0-e94d66290026","resolution":{"observed_at":"2026-05-26T11:27:14.488119Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Sca3d: Enhancing cross-modal 3d retrieval via 3d shape and caption paired data augmentation","venue":null,"work_id":"4fe42b5a-9deb-4e4b-a1a9-55ae9d7cd9a1","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:162fcc43b7456ce9d1fa8135ed26f9852f3c2c1c5c0bf36acd784baaf5d42054","observation_id":"0a303ba3-e6a4-4177-a70f-166dd7ca2d39","resolution":{"observed_at":"2026-05-26T11:27:14.522713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Pointcloud- text matching: Benchmark dataset and baseline","venue":null,"work_id":"510f598b-2792-4935-9a75-1ca336a80639","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:da8ce6d7220e75c565c8b1087dd5b5cde9afa7fba54b7740a5013611c5c79b24","observation_id":"dcf9c554-f7e9-480f-9b22-654287df804a","resolution":{"observed_at":"2026-05-26T11:27:14.432659Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Audio-enhanced text-to-video retrieval using text-conditioned feature alignment","venue":null,"work_id":"82b3f926-5b51-4cde-8909-656d459e3aca","year":2023},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:e540f5a875b8fefc1c4cd7740e8bcb000c951c6c9b2bd1d035801e30c5d43fc8","observation_id":"1ea9c1b3-6a2e-42c2-b0f7-132efac2af0a","resolution":{"observed_at":"2026-05-26T11:27:14.453804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Eclipse: Efficient long- range video retrieval using sight and sound","venue":null,"work_id":"83d3fe83-bbe4-4b11-8d3b-145301bc2526","year":2022},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:a0ebdc25a03bb14cc04f56bd0edae53cf845c808ff272129750672908a5112cc","observation_id":"234c9c20-df4b-4533-8bf4-1d417519f067","resolution":{"observed_at":"2026-05-26T11:27:14.515403Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Tri-modal motion retrieval by learning a joint embedding space","venue":null,"work_id":"0c64c6a0-8d37-4ebd-9a6b-8b1e6475f0e4","year":2024},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:a31c3e657fdcd24bbfcb87d7a5af000b1eed08cee8252131f06fa50e3452f037","observation_id":"782ba918-2ace-4fd6-b399-c1ec22a133b6","resolution":{"observed_at":"2026-05-26T11:27:14.519149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"Enhanced cross-modal 3d retrieval via tri-modal reconstruction","venue":null,"work_id":"71b87063-6cb9-4ffd-9e07-3898dac65978","year":2025},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:1bbd61840224083b27054549a1a4353e663d8fd49e3b6ca5375df6b40cda6a35","observation_id":"1d95643f-cc05-41a8-9b9f-27af496be49c","resolution":{"observed_at":"2026-05-26T11:27:14.435977Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-07-10T14:07:06.849417Z","title":"Attention is all you need","venue":null,"work_id":"4f585692-8ef8-4f20-8f75-5e0e32647d76","year":2017},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:dbcd078e7efe360a09995b47c4396041af5c187796a2783dc92d92068972bf10","observation_id":"19b085be-bb1a-4460-9395-a6cb6a0b1f3f","resolution":{"observed_at":"2026-05-26T11:27:14.439048Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-07-06T06:49:24.960992Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":"1807.03748","doi":"10.1609/aaai.v36i10.21390","metadata_source":"pith","pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Representation Learning with Contrastive Predictive Coding","venue":"cs.LG","work_id":"7b08a1d4-d565-424e-9c86-6ef244b7b90a","year":2018},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:b6ea7c363d2421fb41938ad6536db9d9504d79ad483342d98d352064fe894a8c","observation_id":"f0d889b0-2f04-4610-95d5-24718417b8ac","resolution":{"observed_at":"2026-05-11T18:36:07.817762Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-08T15:07:11.204095Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2605.05572"},"observation_digest":"sha256:2c923f132bbf74b0f96e8b7e089a159f75544e95a35ecabb5ac6a44cd67ff385","observation_id":"bfb706e7-4478-4d60-97b8-0f56da2c0fd3","resolution":{"observed_at":"2026-05-11T18:36:07.798286Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.05572","last_updated":"2026-05-07T01:35:42Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T23:18:12.631820Z","submitted_at":"2026-05-07T01:35:42Z","title":"Text-to-CAD Retrieval: a Strong Baseline"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":5,"verified_fuzzy":39},"total_outbound_references":44},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2605.05572."}