{"as_of":"2026-08-12T13:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b2702ba6b4d3c4617f29da6f606b154fe8c623bc8ad7a1505285370197cf96a3","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:47:24.528319Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2507.21493/citation-record","integrity":"/paper/2507.21493/integrity","json":"/paper/2507.21493/citation-record.json","paper":"/paper/2507.21493"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.18937","last_updated":"2025-08-04T13:54:40Z","snapshot_observed_at":"2026-08-12T09:03:03.372443Z","submitted_at":"2024-05-29T09:43:48Z","title":"Kestrel: 3D Multimodal LLM for Part-Aware Grounded Description","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18937","snapshot_observed_at":"2026-08-06T12:47:23.681397Z","title":"arXiv preprint arXiv:2405.18937 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:23.681397Z"},"links":{"cited_paper":"/paper/2405.18937","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:18e9b363ba8462f480f77f919c66e692c3f4ef80a51d09d8749993d2a6d9faa0","observation_id":"324c711d-8fc8-4d34-9ed7-3416fc8e45f2","resolution":{"observed_at":"2026-08-06T12:47:23.681397Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14979","last_updated":"2025-05-30T10:22:03Z","snapshot_observed_at":"2026-08-06T18:51:07.685847Z","submitted_at":"2024-05-23T18:30:12Z","title":"CraftsMan3D: High-fidelity Mesh Generation with 3D Native Generation and Interactive Geometry Refiner","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14979","snapshot_observed_at":"2026-08-06T12:47:23.812609Z","title":"In Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:23.812609Z"},"links":{"cited_paper":"/paper/2405.14979","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:488c115ec1e8bfaf0bfa3340f29f09c3f9e2a2303f77cda2c9bc63b234aa5cc2","observation_id":"5cf8b67d-0cec-4b59-a37a-d7c2027c9d46","resolution":{"observed_at":"2026-08-06T12:47:23.812609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.17142","last_updated":"2024-06-10T14:07:53Z","snapshot_observed_at":"2026-08-01T13:37:17.913862Z","submitted_at":"2023-12-28T17:16:44Z","title":"DreamGaussian4D: Generative 4D Gaussian Splatting","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.17142","snapshot_observed_at":"2026-08-06T12:47:23.931681Z","title":"CoRR abs/2312.17142 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:23.931681Z"},"links":{"cited_paper":"/paper/2312.17142","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:ec76d1631740b1fd9741e062637068b580b259c1237ba4c7b217caf4c59f5f3d","observation_id":"2f0a43d6-77c2-48ce-9e5e-6daa62afb0e6","resolution":{"observed_at":"2026-08-06T12:47:23.931681Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.13679","last_updated":"2025-03-09T21:11:26Z","snapshot_observed_at":"2026-08-11T21:57:17.357042Z","submitted_at":"2024-08-24T22:05:04Z","title":"Segment Any Mesh","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.13679","snapshot_observed_at":"2026-08-06T12:47:24.041939Z","title":"InProceedings of the 40th International Conference on Machine Learning (Honolulu, Hawaii, USA) (ICML’23)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:24.041939Z"},"links":{"cited_paper":"/paper/2408.13679","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:3946345a98dc6f6714201fa588a971c6d600f317e7bcde6ba4aa40eb9f53f352","observation_id":"b1b8c147-3a80-4022-b11f-a5c771857176","resolution":{"observed_at":"2026-08-06T12:47:24.041939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17907","last_updated":"2023-11-29T18:55:38Z","snapshot_observed_at":"2026-08-11T02:24:44.348691Z","submitted_at":"2023-11-29T18:55:38Z","title":"CG3D: Compositional Generation for Text-to-3D via Gaussian Splatting","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17907","snapshot_observed_at":"2026-08-06T12:47:24.166306Z","title":"In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:24.166306Z"},"links":{"cited_paper":"/paper/2311.17907","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:b0160957b184d34ae3d61db0b49738d4930ee9bef3a9a706daac9a8636030f6d","observation_id":"1df18d9f-c0eb-49f6-8c1f-00f1cc04b403","resolution":{"observed_at":"2026-08-06T12:47:24.166306Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.01506","last_updated":"2025-05-30T11:13:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-02T13:58:38Z","title":"Structured 3D Latents for Scalable and Versatile 3D Generation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.01506","snapshot_observed_at":"2026-08-06T12:47:24.239854Z","title":"ACM Transactions on Graphics (TOG) 38, 4 (2019), 1–14","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:24.239854Z"},"links":{"cited_paper":"/paper/2412.01506","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:f89fb5a1d215dbe9946d23528a4f28a1bda55472fa862faf8464fbd9cbef2b1e","observation_id":"34d9e214-cdc9-474c-9817-13e23e3865ba","resolution":{"observed_at":"2026-08-06T12:47:24.239854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.04954","last_updated":"2025-08-04T23:25:46Z","snapshot_observed_at":"2026-08-11T01:45:35.788643Z","submitted_at":"2024-11-07T18:31:08Z","title":"CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.04954","snapshot_observed_at":"2026-08-06T12:47:24.356540Z","title":"InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:24.356540Z"},"links":{"cited_paper":"/paper/2411.04954","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:518d4009aa2dfc4f0ab6f452ddb42a2a7e903f53c5d802587cc67a1681d5d67f","observation_id":"22842455-2a3d-4249-823c-7b4fb77e3272","resolution":{"observed_at":"2026-08-06T12:47:24.356540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.18548","last_updated":"2024-11-27T17:50:35Z","snapshot_observed_at":"2026-08-12T11:03:26.406426Z","submitted_at":"2024-11-27T17:50:35Z","title":"PhyCAGE: Physically Plausible Compositional 3D Asset Generation from a Single Image","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.18548","snapshot_observed_at":"2026-08-06T12:47:24.417839Z","title":"In European Conference on Computer Vision","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:24.417839Z"},"links":{"cited_paper":"/paper/2411.18548","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:af881c8bdf0cb6046215bd726b92274eabb96bea34a861330c7fc910fe0bba40","observation_id":"db436f71-15ce-4388-a6f8-07a0f4b3afeb","resolution":{"observed_at":"2026-08-06T12:47:24.417839Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.14603","last_updated":"2024-02-19T02:30:14Z","snapshot_observed_at":"2026-08-12T02:58:01.071932Z","submitted_at":"2023-11-24T16:47:05Z","title":"Animate124: Animating One Image to 4D Dynamic Scene","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.14603","snapshot_observed_at":"2026-08-06T12:47:24.528319Z","title":"arXiv preprint arXiv:2311.14603 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:24.528319Z"},"links":{"cited_paper":"/paper/2311.14603","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:f8b8f075d214466eb5638ffb4191e5a385fd91bb6adabeee2606c7375c84cbe9","observation_id":"04971c93-9abb-476b-907e-baea235cb8f9","resolution":{"observed_at":"2026-08-06T12:47:24.528319Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.18525","last_updated":"2025-08-27T08:24:52Z","snapshot_observed_at":"2026-08-11T22:32:26.136020Z","submitted_at":"2024-05-28T18:45:10Z","title":"REPARO: Compositional 3D Assets Generation with Differentiable 3D Layout Alignment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.18525","snapshot_observed_at":"2026-08-06T12:47:23.706831Z","title":"ACM Transactions on Graphics (TOG) 38, 6 (2019), 1–15","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:23.706831Z"},"links":{"cited_paper":"/paper/2405.18525","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:fc22f4f0b89c016168072c94fde3e631db79c655e0abd68ac5ce2a896c48d02f","observation_id":"c7a2cfdb-6a7e-4866-b904-fc7f95647ea2","resolution":{"observed_at":"2026-08-06T12:47:23.706831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.20422","last_updated":"2025-05-27T17:40:59Z","snapshot_observed_at":"2026-08-10T23:19:49.404162Z","submitted_at":"2024-12-29T10:12:01Z","title":"Bringing Objects to Life: training-free 4D generation from 3D objects through view consistent noise","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.20422","snapshot_observed_at":"2026-08-06T12:47:23.865236Z","title":"In International conference on machine learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:23.865236Z"},"links":{"cited_paper":"/paper/2412.20422","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:fdcc90c2e59f8172311d6a78091cc749fac8582103d74034d97a427d938deb0b","observation_id":"406ca91c-1b06-4191-bfea-fd5625dcd035","resolution":{"observed_at":"2026-08-06T12:47:23.865236Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.16820","last_updated":"2025-04-01T16:56:24Z","snapshot_observed_at":"2026-08-12T12:55:38.828983Z","submitted_at":"2024-11-25T17:08:17Z","title":"DetailGen3D: Generative 3D Geometry Enhancement via Data-Dependent Flow","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.16820","snapshot_observed_at":"2026-08-06T12:47:23.527559Z","title":"In Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:23.527559Z"},"links":{"cited_paper":"/paper/2411.16820","citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:fc6ec06c52db9acf7ce252afd9820a7c6d97ad4f6f39ceaecccf1e0ec4bddd6a","observation_id":"534dffd6-8da5-43c3-995c-48f92476331e","resolution":{"observed_at":"2026-08-06T12:47:23.527559Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:47:25.083191Z","title":"In Proceedings of the 41st International Conference on Machine Learning (Vienna, Austria) (ICML’24)","venue":null,"work_id":"22ff1e6d-ce9f-4de5-92cd-f5d93820a8f2","year":2023},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:23.599606Z"},"links":{"citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:c464e9d5d83ab19a61616b26301333689f2a59131377005a0872a49d983b77b5","observation_id":"70b23e37-3085-4f82-8cc6-8b55d606da55","resolution":{"observed_at":"2026-08-06T12:47:25.118010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:47:24.931734Z","title":"In European Conference on Computer Vision","venue":null,"work_id":"738824f7-8116-49ab-856f-e4cba4b76d3d","year":null},"citing_paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T12:47:24.112278Z"},"links":{"citing_paper":"/paper/2507.21493"},"observation_digest":"sha256:a76162909cb50fb0346dd3885ad5079558201bf58d8affc5f91a20edb0208384","observation_id":"49d703b1-d404-4c34-b9f6-8f78828b64f3","resolution":{"observed_at":"2026-08-06T12:47:24.991532Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.21493","last_updated":"2025-07-29T04:21:21Z","latest_version":1,"primary_category":"cs.GR","snapshot_observed_at":"2026-08-09T02:14:26.770508Z","submitted_at":"2025-07-29T04:21:21Z","title":"BANG: Dividing 3D Assets via Generative Exploded Dynamics"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":2},"total_outbound_references":14},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2507.21493."}