{"as_of":"2026-08-15T16:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:248b27c38b84a4302aef27a5dd41b216eb663efc6e90d3711fc59590d504deb8","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T13:03:19.571429Z","state":"measured"},{"denominator":18,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":18,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:13:45.547099Z","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":"2026-07-01T10:15:44.995447Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"cited_work":{"arxiv_id":"2605.27351","doi":null,"metadata_source":"pith","pith_arxiv_id":"2605.27351","snapshot_observed_at":"2026-07-01T10:15:44.995447Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","venue":"cs.CV","work_id":"f519eeb8-27a9-4260-9386-76d2fc01349b","year":2026},"citing_paper":{"arxiv_id":"2606.31388","last_updated":"2026-06-30T09:16:21Z","snapshot_observed_at":"2026-08-02T07:18:38.830324Z","submitted_at":"2026-06-30T09:16:21Z","title":"One Video, One World: Turning Monocular Video into Physical 4D Scenes","version":1},"reference_index":93,"source":"pdf_text","source_observed_at":"2026-07-01T05:38:19.541391Z"},"links":{"cited_paper":"/paper/2605.27351","citing_paper":"/paper/2606.31388"},"observation_digest":"sha256:b80f505e7a6c055894272cea9671fd5542f9af8e3b056ee80a0f67b0ec168eb7","observation_id":"6bddd860-2fd1-4cea-bd82-291c670ff3db","resolution":{"observed_at":"2026-07-01T10:15:44.996782Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.27351","snapshot_observed_at":"2026-08-04T00:40:15.853854Z","title":"arXiv preprint arXiv:2605.27351 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00094","last_updated":"2026-08-04T07:01:26Z","snapshot_observed_at":"2026-08-14T07:21:06.700336Z","submitted_at":"2026-07-30T16:55:28Z","title":"Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated Mesh","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-04T00:40:15.853854Z"},"links":{"cited_paper":"/paper/2605.27351","citing_paper":"/paper/2608.00094"},"observation_digest":"sha256:a8a83a48f7b2b9e5c8e4369f663f1c6a4dd0caee552ff645c1db322602d08b81","observation_id":"81d4b0ba-ffd0-4c53-92d0-df34b6f2d6a7","resolution":{"observed_at":"2026-08-04T00:40:15.853854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.27351","snapshot_observed_at":"2026-08-05T04:26:19.657390Z","title":"arXiv preprint arXiv:2605.27351 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.00094","last_updated":"2026-08-04T07:01:26Z","snapshot_observed_at":"2026-08-14T07:21:06.700336Z","submitted_at":"2026-07-30T16:55:28Z","title":"Video Models as Native 4D Renderers: World-Grounded Conditioning from Animated Mesh","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T04:26:19.657390Z"},"links":{"cited_paper":"/paper/2605.27351","citing_paper":"/paper/2608.00094"},"observation_digest":"sha256:a0f82638e215d49d45a557cb6f4e750e1a09a0888e456336a24774cf01aa9f19","observation_id":"9e8c5d70-f9e3-4432-ae48-7c4d5edb8b23","resolution":{"observed_at":"2026-08-05T04:26:19.657390Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.27351","snapshot_observed_at":"2026-08-07T00:13:45.547099Z","title":null,"venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.02711","last_updated":"2026-08-13T08:47:57Z","snapshot_observed_at":"2026-08-15T16:20:25.242064Z","submitted_at":"2026-08-03T17:57:11Z","title":"Hunyuan3D-Buffalo 1.0: A Unified Multimodal Model for Scalable 3D Generation, Understanding, and Editing","version":1},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-08-07T00:13:45.547099Z"},"links":{"cited_paper":"/paper/2605.27351","citing_paper":"/paper/2608.02711"},"observation_digest":"sha256:dd3141db4fb06501aaa209a6ab3dde723b86b45047d79de3ab693d19698f6964","observation_id":"5f8a748c-6373-49df-b2d5-ce32b8aa1bcc","resolution":{"observed_at":"2026-08-07T00:13:45.547099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2605.27351","snapshot_observed_at":"2026-08-06T00:14:07.604252Z","title":"arXiv preprint arXiv:2605.27351 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03179","last_updated":"2026-08-04T06:16:17Z","snapshot_observed_at":"2026-08-13T03:47:45.808127Z","submitted_at":"2026-08-04T06:16:17Z","title":"EditFlow3D: Automated Local Editing of 3D Assets with Trajectory Preservation","version":1},"reference_index":155,"source":"arxiv_source","source_observed_at":"2026-08-06T00:14:07.604252Z"},"links":{"cited_paper":"/paper/2605.27351","citing_paper":"/paper/2608.03179"},"observation_digest":"sha256:0c4c8e0e2e43b949599b11d8dd2ccddc9c8349a48a10e93f685570fed0f8b476","observation_id":"25e7b66b-76f6-4655-b9a0-36d2aca0bf3b","resolution":{"observed_at":"2026-08-06T00:14:07.604252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2605.27351/citation-record","integrity":"/paper/2605.27351/integrity","json":"/paper/2605.27351/citation-record.json","paper":"/paper/2605.27351"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:19.115704Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.115704Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:1dd8571f09813232f7954cbaccb82b4699158b605c4ecdd22cb2753547885f62","observation_id":"25a95673-60ce-4059-bd19-e6b4c78eb96d","resolution":{"observed_at":"2026-08-02T13:03:19.115704Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:19.220379Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.220379Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:0ac7b343a547d97325899bde9bcfdcf635579c76d1c02a3005b8dfaa59c85dec","observation_id":"8b1ab9d3-3189-4517-af82-c0c5df8f1b9c","resolution":{"observed_at":"2026-08-02T13:03:19.220379Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:19.292549Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.292549Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:2980b9e3101f9bdcf4d0cbd27d0582acacbb3507b784189e804ac18d3618963a","observation_id":"33591a0c-7787-4a0e-8009-73c8d6268058","resolution":{"observed_at":"2026-08-02T13:03:19.292549Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:19.380653Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.380653Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:ccf2403c2af2047f1ec64814c83334e74c60aea292e5cf52fbd26cdff96a4947","observation_id":"4973acdf-c273-4ff8-8d73-96996047cd44","resolution":{"observed_at":"2026-08-02T13:03:19.380653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:18.975686Z","title":"InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:18.975686Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:1405158568120f1c70a078744c71c9f2f258605d4759caadb93050478cf437ea","observation_id":"7edb172a-ca10-4069-973b-8ca08a67dc15","resolution":{"observed_at":"2026-08-02T13:03:18.975686Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.14692","last_updated":"2025-12-16T18:58:28Z","snapshot_observed_at":"2026-08-14T16:41:32.664754Z","submitted_at":"2025-12-16T18:58:28Z","title":"Native and Compact Structured Latents for 3D Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.14692","snapshot_observed_at":"2026-08-02T13:03:19.036540Z","title":"arXiv:2512.14692 [cs.CV] https://arxiv.org/abs/2512.14692 Jianfeng Xiang, Zelong Lv, Sicheng Xu, Yu Deng, Ruicheng Wang, Bowen Zhang, Dong Chen, Xin Tong, and Jiaolong Yang","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.036540Z"},"links":{"cited_paper":"/paper/2512.14692","citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:8b95fde5e93a5fc4a83b60e0ece531796144cc489b95e79b98d81e09c227e7c5","observation_id":"8705aa62-c805-4402-8181-ca31a69190d2","resolution":{"observed_at":"2026-08-02T13:03:19.036540Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:19.571429Z","title":"new_part_desc","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.571429Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:75d1e2319d354e0b09cfb5230e4c8d781df0d7d88e08c03dbcbd70c7a48a229a","observation_id":"65a396d9-136c-406b-bdef-cbcaa67aebbb","resolution":{"observed_at":"2026-08-02T13:03:19.571429Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:19.439510Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.439510Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:35b4ea00376b315edc791dc13b29af99cbea363f526591bf14fe200040579d22","observation_id":"110631cd-1d62-4bf3-8a4e-3b5675fa5153","resolution":{"observed_at":"2026-08-02T13:03:19.439510Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:19.515970Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:19.515970Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:97854cb4bff05380cee3a7066b6405ead3e5f9fcec883d904a358950c3fe1d04","observation_id":"935345cf-763c-4e34-9c41-7ac56488d26c","resolution":{"observed_at":"2026-08-02T13:03:19.515970Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.08051","last_updated":"2022-12-15T18:56:53Z","snapshot_observed_at":"2026-08-13T13:20:36.329352Z","submitted_at":"2022-12-15T18:56:53Z","title":"Objaverse: A Universe of Annotated 3D Objects","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.08051","snapshot_observed_at":"2026-08-02T13:03:18.747903Z","title":"InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:18.747903Z"},"links":{"cited_paper":"/paper/2212.08051","citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:c90ba5168f6fc11f69efe32228dd21a1fdfd530176fbaf7ac94b7c5797c00265","observation_id":"c4940fd6-3636-4c0b-aba3-3fd6bfac9ec4","resolution":{"observed_at":"2026-08-02T13:03:18.747903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08629","last_updated":"2025-07-22T12:07:56Z","snapshot_observed_at":"2026-08-14T18:24:11.838929Z","submitted_at":"2024-12-11T18:50:29Z","title":"FlowEdit: Inversion-Free Text-Based Editing Using Pre-Trained Flow Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08629","snapshot_observed_at":"2026-08-02T13:03:18.904620Z","title":"arXiv preprint arXiv:2412.08629(2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:18.904620Z"},"links":{"cited_paper":"/paper/2412.08629","citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:e77ef96d1c7191aa171c04beba3ef00ffa326765bcf693aa6eb84b42084ebae7","observation_id":"3ea8323f-a700-48d0-abc1-2e7bcb0bbb24","resolution":{"observed_at":"2026-08-02T13:03:18.904620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:18.844963Z","title":"arXiv:2512.21185 [cs.CV] https: //arxiv.org/abs/2512.21185 Heewoo Jun and Alex Nichol","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:18.844963Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:1282db3fc1d8883adb8e29efc2c69698f7b04ea8dd088709752a0b58e4fb2892","observation_id":"ddadbda2-0189-4fea-85ef-bf464e6e1cf8","resolution":{"observed_at":"2026-08-02T13:03:18.844963Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T13:03:18.782903Z","title":"Efros, Aleksander Holynski, and Angjoo Kanazawa","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation","version":5},"reference_index":9795,"source":"pdf_text","source_observed_at":"2026-08-02T13:03:18.782903Z"},"links":{"citing_paper":"/paper/2605.27351"},"observation_digest":"sha256:0f116adb8916b8647eadd7db424864220562857aeaf115a0bbe2a699e32a4fc7","observation_id":"8666c408-f14e-4088-b53b-1d4d5db5d273","resolution":{"observed_at":"2026-08-02T13:03:18.782903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2605.27351","last_updated":"2026-07-28T06:02:20Z","latest_version":5,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T00:00:39.543245Z","submitted_at":"2026-05-26T17:51:59Z","title":"Feedforward 3D Editing Learns from Semantic-Part Transformation"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":13},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 5 inbound Pith citation observations for arXiv:2605.27351."}