{"as_of":"2026-08-08T22:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fab48e41efa39d5d8a2a570f4daa7b65c33c4e5f5ae1f460d83535822621fc97","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":18,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":18,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:41:12.048881Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T16:17:09.016872Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-07T04:41:12.048881Z","title":"K., Fu, X., Liao, Y.-L., Gharakhanyan, V., Miller, B","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10186","last_updated":"2025-06-29T17:18:51Z","snapshot_observed_at":"2026-08-07T16:31:01.743586Z","submitted_at":"2025-06-11T21:23:56Z","title":"Scalable Non-Equivariant 3D Molecule Generation via Rotational Alignment","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T04:41:12.048881Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2506.10186"},"observation_digest":"sha256:77e92f1518e839b4539dbcb38d7d0029b20c7105ba0b7d4278423c10e0325212","observation_id":"f33c0c86-d81d-49bc-9d15-b08d5268c8f8","resolution":{"observed_at":"2026-08-07T04:41:12.048881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-06T21:12:00.153303Z","title":"K., Fu, X., Liao, Y.-L., Gharakhanyan, V., Miller, B","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00899","last_updated":"2025-07-01T16:01:58Z","snapshot_observed_at":"2026-08-08T09:07:01.505456Z","submitted_at":"2025-07-01T16:01:58Z","title":"TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-06T21:12:00.153303Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2507.00899"},"observation_digest":"sha256:ca28772fe6cd54a3cda0e65658f836c77dbe19cfd38918135f4b74c90c5a8ccb","observation_id":"10ee9175-e9a0-4269-8ed8-6175439fdda2","resolution":{"observed_at":"2026-08-06T21:12:00.153303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-06T20:02:30.987305Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.04053","last_updated":"2025-07-05T14:23:12Z","snapshot_observed_at":"2026-08-06T19:54:17.792082Z","submitted_at":"2025-07-05T14:23:12Z","title":"TopoMAS: Large Language Model Driven Topological Materials Multiagent System","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-06T20:02:30.987305Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2507.04053"},"observation_digest":"sha256:28c263cee651f4bca77b34611822b14e97ebb7eafe6801dce01bc0a2045a185a","observation_id":"89b0c055-011a-447b-ac17-020406719091","resolution":{"observed_at":"2026-08-06T20:02:30.987305Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-04T12:27:30.741497Z","title":"Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, and Zachary W","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.03511","last_updated":"2026-06-02T22:28:21Z","snapshot_observed_at":"2026-08-04T12:27:29.054298Z","submitted_at":"2025-10-03T20:51:25Z","title":"Platonic Transformers: A Solid Choice For Equivariance","version":3},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-04T12:27:30.741497Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2510.03511"},"observation_digest":"sha256:35507b93b8cb68a33bf959f8c2c6bd89779198349086d43499015fe7c995a79e","observation_id":"34b5b01c-ea37-47bd-83dc-43e64c93f862","resolution":{"observed_at":"2026-08-04T12:27:30.741497Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-04T11:28:56.443439Z","title":"Joshi, Xiang Fu, Yi-Lun Liao, Vahe Gharakhanyan, Benjamin Kurt Miller, Anuroop Sriram, and Zachary W","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2510.04646","last_updated":"2026-06-22T07:44:29Z","snapshot_observed_at":"2026-08-07T23:52:55.636241Z","submitted_at":"2025-10-06T09:49:14Z","title":"Predictive Feature Caching for Training-free Acceleration of Molecular Geometry Generation","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-04T11:28:56.443439Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2510.04646"},"observation_digest":"sha256:1b5e4eee6558a15f3204292c72c7c0a87943744f4fa63120481cca83539981ef","observation_id":"dd4eb397-571f-4f21-935e-023de644506f","resolution":{"observed_at":"2026-08-04T11:28:56.443439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-03T21:42:03.466285Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2511.14426","last_updated":"2026-05-28T17:48:10Z","snapshot_observed_at":"2026-08-05T21:03:54.703996Z","submitted_at":"2025-11-18T12:29:19Z","title":"MiAD: Mirage Atom Diffusion for De Novo Crystal Generation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T21:42:03.466285Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2511.14426"},"observation_digest":"sha256:0def2d4139a791986bda6a5f4e374fecc7ffd28d37f2335c5959efc8543fea1c","observation_id":"ee6b350a-9ab0-462f-9e09-3f73c0555274","resolution":{"observed_at":"2026-08-03T21:42:03.466285Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-03T03:08:28.959464Z","title":"All-atom diffusion transform- ers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.09309","last_updated":"2026-05-29T14:26:48Z","snapshot_observed_at":"2026-08-07T15:36:27.573725Z","submitted_at":"2026-02-10T00:59:13Z","title":"How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-03T03:08:28.959464Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2602.09309"},"observation_digest":"sha256:283f02c96198d2d06b20623533a4fbcdd3c8a236fe68d504279574b85a693487","observation_id":"9dec7ba3-106e-4be3-86f8-dc8c3fac1047","resolution":{"observed_at":"2026-08-03T03:08:28.959464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2603.06082","last_updated":"2026-04-19T06:37:14Z","snapshot_observed_at":"2026-08-06T03:59:13.375257Z","submitted_at":"2026-03-06T09:33:00Z","title":"Offline Materials Optimization with CliqueFlowmer","version":4},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-15T15:35:43.439664Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2603.06082"},"observation_digest":"sha256:d76aad68a5b676f7bda29684505060f68177415d0ca18f4620ca0ce9713f69e4","observation_id":"923aaea2-111b-4a7e-a609-7ccfd1f6edb2","resolution":{"observed_at":"2026-05-15T15:36:13.252773Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2605.12784","last_updated":"2026-05-14T05:07:36Z","snapshot_observed_at":"2026-08-06T05:39:28.994995Z","submitted_at":"2026-05-12T21:58:14Z","title":"ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-14T20:38:37.536767Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2605.12784"},"observation_digest":"sha256:839048ee3477affe647bde6830059bcd6a630b48e3b74c6664a9dab1dcbcc9a1","observation_id":"293cac26-5b29-4353-a1a4-f58792b75e9c","resolution":{"observed_at":"2026-05-14T20:39:26.401259Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2605.12784","last_updated":"2026-05-14T05:07:36Z","snapshot_observed_at":"2026-08-06T05:39:28.994995Z","submitted_at":"2026-05-12T21:58:14Z","title":"ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-15T04:54:44.536836Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2605.12784"},"observation_digest":"sha256:013f71db9584770c37b369704bf0cc7ece8a8dae7fed1a6d77cff1eb60839363","observation_id":"370229e8-5d0e-4731-b80e-6a33001d3cdb","resolution":{"observed_at":"2026-05-15T04:55:03.199295Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2605.14344","last_updated":"2026-05-15T13:35:45Z","snapshot_observed_at":"2026-08-03T12:20:38.246253Z","submitted_at":"2026-05-14T04:08:51Z","title":"CrystalReasoner: Reasoning and RL for Property-Conditioned Crystal Structure Generation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-19T16:49:03.046864Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2605.14344"},"observation_digest":"sha256:dc9af582038a9f0f55b331eb17f76923e17a04a5d6e59647be86f467a390c769","observation_id":"38e40560-81fc-42c0-baf3-2f048217b18a","resolution":{"observed_at":"2026-05-19T16:52:40.107998Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2605.14759","last_updated":"2026-05-25T06:13:51Z","snapshot_observed_at":"2026-07-06T23:26:09.066863Z","submitted_at":"2026-05-14T12:23:04Z","title":"Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T20:57:28.908553Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2605.14759"},"observation_digest":"sha256:b09bc7e1acd65d07967389e9a35db0d44f906e447453a3fdbf6b8d56509d1923","observation_id":"edfa9e0c-52f9-4b59-beda-69e77d20f51a","resolution":{"observed_at":"2026-07-01T14:35:46.633456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2605.14769","last_updated":"2026-05-25T06:24:39Z","snapshot_observed_at":"2026-08-07T03:16:24.152322Z","submitted_at":"2026-05-14T12:36:23Z","title":"Composable Crystals: Controllable Materials Discovery via Concept Learning","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T21:52:24.486564Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2605.14769"},"observation_digest":"sha256:343320ef2e27a3b71508ea5de65ae08e1b4284119635b7b48cc1a3b79e1120cf","observation_id":"25aa4244-3480-4558-88ec-7305257f65ef","resolution":{"observed_at":"2026-06-30T21:55:05.873860Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2606.07239","last_updated":"2026-06-05T13:07:56Z","snapshot_observed_at":"2026-07-06T23:46:55.970997Z","submitted_at":"2026-06-05T13:07:56Z","title":"Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-27T22:52:42.933237Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2606.07239"},"observation_digest":"sha256:e2b045a652b2f9d120f823faae4fb504d67a1b7189f3a82e5eb12ffb6862d5f9","observation_id":"d321265c-b11f-42c6-8173-fa7d15bf83a8","resolution":{"observed_at":"2026-07-02T16:17:09.018693Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":"2503.03965","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-02T16:17:09.016872Z","title":"All-atom diffusion transformers: Unified generative modelling of molecules and materials.arXiv preprint arXiv:2503.03965","venue":null,"work_id":"ae4f7e7b-f46c-4dc6-a3f3-c23ce8bd2fcf","year":2025},"citing_paper":{"arxiv_id":"2606.28578","last_updated":"2026-06-26T20:10:01Z","snapshot_observed_at":"2026-07-07T00:02:38.226622Z","submitted_at":"2026-06-26T20:10:01Z","title":"Surrogate-Gated Generation and Foundation-Model Embeddings for Bayesian Materials Design","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T00:33:50.633704Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2606.28578"},"observation_digest":"sha256:2416a4d5d27c7b5560be9dfa3509877f197d57086b4e6b8acc7020482ed9f286","observation_id":"873b761c-525c-418d-b83c-c5a38b000b7d","resolution":{"observed_at":"2026-06-30T00:34:05.264453Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-11T21:27:22.768274Z","title":"and Fu, Xiang and Liao, Yi-Lun and Gharakhanyan, Vahe and Miller, Benjamin Kurt and Sriram, Anuroop and Ulissi, Zachary W","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.04134","last_updated":"2026-07-05T06:28:52Z","snapshot_observed_at":"2026-08-03T21:49:46.413279Z","submitted_at":"2026-07-05T06:28:52Z","title":"Spectral Diffusion for Protein Dynamics","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-07-11T21:27:22.768274Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2607.04134"},"observation_digest":"sha256:f057c12dacc9b3cef9b5f27895bd5b4b4b82adb0915ace7821361d970784c6c5","observation_id":"6f80a245-c8cf-42e4-b7ee-079eddbcb502","resolution":{"observed_at":"2026-07-11T21:27:22.768274Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-07-12T02:29:52.764344Z","title":"and Fu, Xiang and Liao, Yi-Lun and Gharakhanyan, Vahe and Miller, Benjamin Kurt and Sriram, Anuroop and Ulissi, Zachary W","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05439","last_updated":"2026-07-03T15:50:24Z","snapshot_observed_at":"2026-07-12T02:29:47.974846Z","submitted_at":"2026-07-03T15:50:24Z","title":"Design-CP: Context Parallelism for Design of Protein Nanoparticles","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-07-12T02:29:52.764344Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2607.05439"},"observation_digest":"sha256:1607a091e8531547ea9ef354113f4784ae5091f21bb031ec78b9f790ce667901","observation_id":"407a6a35-7a37-4de7-86fd-0876c8afd4f1","resolution":{"observed_at":"2026-07-12T02:29:52.764344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.03965","snapshot_observed_at":"2026-08-01T23:05:29.808389Z","title":"Symbolic Predicate-Guided Language Agents for Inverse Design of Perovskite Oxides","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.15535","last_updated":"2026-07-17T01:11:27Z","snapshot_observed_at":"2026-08-01T23:05:26.439282Z","submitted_at":"2026-07-17T01:11:27Z","title":"Symbolic Predicate-Guided Language Agents for Inverse Design of Perovskite Oxides","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-01T23:05:29.808389Z"},"links":{"cited_paper":"/paper/2503.03965","citing_paper":"/paper/2607.15535"},"observation_digest":"sha256:afb849df0a54acbafc16c0c4a2687819727b186cfba5fec503a04d1b2ed8428b","observation_id":"732ea9d8-f790-419a-83c6-d5dc46d6b52a","resolution":{"observed_at":"2026-08-01T23:05:29.808389Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2503.03965/citation-record","integrity":"/paper/2503.03965/integrity","json":"/paper/2503.03965/citation-record.json","paper":"/paper/2503.03965"},"outbound":[],"paper":{"arxiv_id":"2503.03965","last_updated":"2025-05-22T08:08:43Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T17:26:18.096388Z","submitted_at":"2025-03-05T23:35:44Z","title":"All-atom Diffusion Transformers: Unified generative modelling of molecules and materials"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2503.03965."}