{"as_of":"2026-08-08T08:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2130e96b45ef45582906cfc0a27a6d42dcb31f677d80f767a59cbdd11096a550","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":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":26,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T20:53:28.647909Z","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":"2026-07-03T17:08:42.732388Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2305.02463","last_updated":"2023-05-03T23:59:13Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-05-03T23:59:13Z","title":"Shap-E: Generating Conditional 3D Implicit Functions","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-16T15:32:06.563955Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2305.02463"},"observation_digest":"sha256:3f69aeb0f012287e2093d688e0d9dede23cfd51fa2afe77c427a65f793addd6e","observation_id":"416fff7d-c040-4e66-a8c2-168f703d2ab6","resolution":{"observed_at":"2026-05-16T15:32:06.720823Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-07T20:53:28.647909Z","title":"From data to functa: Your data point is a function and you can treat it like one","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.09619","last_updated":"2025-02-13T18:59:44Z","snapshot_observed_at":"2026-08-07T20:46:05.964491Z","submitted_at":"2025-02-13T18:59:44Z","title":"Can this Model Also Recognize Dogs? Zero-Shot Model Search from Weights","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T20:53:28.647909Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2502.09619"},"observation_digest":"sha256:dc804965b0b2a62fabb179a6aa052f85bdad3982f0f791977a8f4004557f1206","observation_id":"f066f2e5-7649-4a80-8a6b-f6428abd29ce","resolution":{"observed_at":"2026-08-07T20:53:28.647909Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2505.13919","last_updated":"2026-05-04T15:52:50Z","snapshot_observed_at":"2026-08-03T17:48:27.599794Z","submitted_at":"2025-05-20T04:29:14Z","title":"Generative Adaptation of Dynamics to Environmental Shifts via Weight-space Diffusion","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-22T14:59:37.970053Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2505.13919"},"observation_digest":"sha256:20f795a6cbd87e9568b3e9f97fb205bdd755a0e5e942a70610805c994861f09b","observation_id":"463afc7a-cdfe-4e34-b67f-6d411d247ae1","resolution":{"observed_at":"2026-05-22T15:01:42.542862Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-07T15:17:37.376538Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.16035","last_updated":"2026-07-29T14:32:31Z","snapshot_observed_at":"2026-08-07T15:05:55.307511Z","submitted_at":"2025-05-21T21:29:18Z","title":"Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces","version":3},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T15:17:37.376538Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2505.16035"},"observation_digest":"sha256:ae7a3231e2f32c881b9b6c19f2b4f8b031ce265f38b7275a2d994b2c69cc6510","observation_id":"a24cdf10-d051-4040-b469-982246289f38","resolution":{"observed_at":"2026-08-07T15:17:37.376538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-07T14:12:57.229939Z","title":"From data to functa: Your data point is a function and you can treat it like one","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.19867","last_updated":"2025-05-26T11:50:22Z","snapshot_observed_at":"2026-08-07T14:02:35.976889Z","submitted_at":"2025-05-26T11:50:22Z","title":"Deep Active Inference Agents for Delayed and Long-Horizon Environments","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:12:57.229939Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2505.19867"},"observation_digest":"sha256:2a4f3ed40432670c7563ad8805f28cec6be2e5a542393d7c60a5b60a5c2a5b90","observation_id":"302d3357-9cd1-4e1d-b4f4-2dda6c83d7ee","resolution":{"observed_at":"2026-08-07T14:12:57.229939Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-07T00:48:15.227776Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.12790","last_updated":"2025-06-15T09:41:25Z","snapshot_observed_at":"2026-08-07T00:40:06.445634Z","submitted_at":"2025-06-15T09:41:25Z","title":"PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution Modeling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T00:48:15.227776Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2506.12790"},"observation_digest":"sha256:cd2e3d56ead5ea9efbc87920594258becae284ec30f168bd2e0756db67bb3bbd","observation_id":"f8f58e4c-bd67-4153-8ed9-0b1160ebcb3e","resolution":{"observed_at":"2026-08-07T00:48:15.227776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-06T12:23:21.496525Z","title":"arXiv preprint arXiv:2201.12204 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21863","last_updated":"2025-07-29T14:35:08Z","snapshot_observed_at":"2026-08-06T12:23:21.059353Z","submitted_at":"2025-07-29T14:35:08Z","title":"VidFuncta: Towards Generalizable Neural Representations for Ultrasound Videos","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T12:23:21.496525Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2507.21863"},"observation_digest":"sha256:8a946f3cf285b2c58532d0b23f18c2f1ac0871e7f3420a6cd6fa45338a86bd4e","observation_id":"85e2f870-71dc-4c41-a0cf-d44860cf3edc","resolution":{"observed_at":"2026-08-06T12:23:21.496525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-06T11:48:36.251622Z","title":"From data to functa: Your data point is a function and you can treat it like one","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.22404","last_updated":"2025-07-30T06:12:57Z","snapshot_observed_at":"2026-08-06T11:48:34.085095Z","submitted_at":"2025-07-30T06:12:57Z","title":"MINR: Implicit Neural Representations with Masked Image Modelling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T11:48:36.251622Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2507.22404"},"observation_digest":"sha256:624fff791249139a0bcd19375830b58ff1f4d65f6611aaa51e01ddfdd26bf94d","observation_id":"c25d9575-511b-4c05-a607-8aabc961c0f0","resolution":{"observed_at":"2026-08-06T11:48:36.251622Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-05T22:57:19.288863Z","title":"From data to functa: Your data point is a function and you can treat it like one","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.06301","last_updated":"2025-08-08T13:24:57Z","snapshot_observed_at":"2026-08-05T22:57:01.439470Z","submitted_at":"2025-08-08T13:24:57Z","title":"FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T22:57:19.288863Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2508.06301"},"observation_digest":"sha256:79359cd28e48b5733dc9decd502427a80642bd222fc2b4535bc07d31ab2c2d80","observation_id":"52278d80-d7f5-425b-863a-184c1e7dc71d","resolution":{"observed_at":"2026-08-05T22:57:19.288863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2509.20098","last_updated":"2026-05-01T03:44:29Z","snapshot_observed_at":"2026-08-02T20:40:54.331336Z","submitted_at":"2025-09-24T13:22:44Z","title":"Incomplete Data, Complete Dynamics: A Diffusion Approach","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-18T14:19:22.481700Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2509.20098"},"observation_digest":"sha256:2bd7ba913b8945aec2c16777c8072ea50c2fb784b10fcc7e05ecc54d40146aad","observation_id":"9610a099-0523-46d4-bde2-94e51a89b59b","resolution":{"observed_at":"2026-05-18T14:21:28.289260Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2512.23748","last_updated":"2026-04-14T19:54:35Z","snapshot_observed_at":"2026-08-03T02:33:30.910059Z","submitted_at":"2025-12-26T18:18:25Z","title":"A Review of Diffusion-based Simulation-Based Inference: Foundations and Applications in Non-Ideal Data Scenarios","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-16T18:57:06.742017Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2512.23748"},"observation_digest":"sha256:5eae68cf0fce3c0f4ba497a740189113bb47f847054fe1226dbf5db96d13c114","observation_id":"4a24f343-da42-4c99-b10d-7a2d71f887be","resolution":{"observed_at":"2026-05-16T18:58:18.868131Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-03T05:57:06.540176Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.01083","last_updated":"2026-06-03T11:39:37Z","snapshot_observed_at":"2026-08-07T08:44:48.492938Z","submitted_at":"2026-02-01T08:00:51Z","title":"On the Expressive Power of Permutation-Equivariant Weight-Space Networks","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T05:57:06.540176Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2602.01083"},"observation_digest":"sha256:9c564f9e2a250190677e0802a71a8190a1612ba0d08e4ee9539bcb94497d9792","observation_id":"12f30a35-ff06-4509-abf8-eac3f5dabd0e","resolution":{"observed_at":"2026-08-03T05:57:06.540176Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2602.08058","last_updated":"2026-07-28T15:19:46Z","snapshot_observed_at":"2026-08-03T03:27:32.091478Z","submitted_at":"2026-02-08T17:04:54Z","title":"Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-16T05:55:19.254383Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2602.08058"},"observation_digest":"sha256:6ef8740befa91f23b898d1d5d096bf22636ecbaf121721a59eb65582b333300f","observation_id":"b494447b-b34d-44cf-98f9-ba98e8b7784f","resolution":{"observed_at":"2026-05-16T05:57:24.493812Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-08-03T03:27:33.771730Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.08058","last_updated":"2026-07-28T15:19:46Z","snapshot_observed_at":"2026-08-03T03:27:32.091478Z","submitted_at":"2026-02-08T17:04:54Z","title":"Picasso: Holistic Scene Reconstruction with Physics-Constrained Sampling","version":4},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T03:27:33.771730Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2602.08058"},"observation_digest":"sha256:359c0c727a77ac932176364e14e31a3fd6466d2c09c0bd7413e19308610bfebf","observation_id":"83e9e8ef-1465-4d6f-8378-8ceeef30430f","resolution":{"observed_at":"2026-08-03T03:27:33.771730Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2604.05700","last_updated":"2026-04-07T10:53:37Z","snapshot_observed_at":"2026-07-06T22:54:21.571606Z","submitted_at":"2026-04-07T10:53:37Z","title":"Optimal-Transport-Guided Functional Flow Matching for Turbulent Field Generation in Hilbert Space","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-10T19:38:58.872857Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2604.05700"},"observation_digest":"sha256:c902b446edb637e62aec316f882ea0b99d325c79eb45878a52965250f38efc44","observation_id":"e66bd6fc-4ac9-48e3-8e00-f36d38807986","resolution":{"observed_at":"2026-05-10T22:40:50.924497Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.06298","last_updated":"2026-05-08T08:40:29Z","snapshot_observed_at":"2026-08-03T00:38:32.482207Z","submitted_at":"2026-05-07T14:02:00Z","title":"Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-08T13:39:05.969414Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.06298"},"observation_digest":"sha256:415a15f053a367c464ab3c397705aec281d9748b44a9236dad817a383832063a","observation_id":"494be5cc-47d1-48a3-9722-ff9d669cb1db","resolution":{"observed_at":"2026-05-11T18:51:07.926202Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.06298","last_updated":"2026-05-08T08:40:29Z","snapshot_observed_at":"2026-08-03T00:38:32.482207Z","submitted_at":"2026-05-07T14:02:00Z","title":"Render, Don't Decode: Weight-Space World Models with Latent Structural Disentanglement","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-11T01:46:31.004068Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.06298"},"observation_digest":"sha256:510e7eb543a850db5b1c9a368be25d5376954c2fa41eb2ef4ac7c3c40795bbb1","observation_id":"95afd8f0-af99-402f-b581-23ebeee17a87","resolution":{"observed_at":"2026-05-11T04:20:58.518818Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.07444","last_updated":"2026-05-08T08:49:40Z","snapshot_observed_at":"2026-07-06T23:19:51.414344Z","submitted_at":"2026-05-08T08:49:40Z","title":"Accelerated and data-efficient flow prediction in stirred tanks via physics-informed learning","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-11T01:59:54.132397Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.07444"},"observation_digest":"sha256:3b49bf12ea9465a4619c2f7f0911b0db07246a8f3fbb76b1d7fee333c6ad61b1","observation_id":"1249ca4f-1570-4460-820e-dd8df36ca5b1","resolution":{"observed_at":"2026-05-11T04:05:55.534066Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.08298","last_updated":"2026-05-08T11:09:30Z","snapshot_observed_at":"2026-08-02T05:07:12.715709Z","submitted_at":"2026-05-08T11:09:30Z","title":"What Cohort INRs Encode and Where to Freeze Them","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T01:32:38.878151Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.08298"},"observation_digest":"sha256:15fad59f7b20b19a9f3cac730466c9532a972c5331439fd9ecef05efc09cea16","observation_id":"cbb69428-fd69-4756-a369-39dd555fb013","resolution":{"observed_at":"2026-05-12T07:56:26.292909Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.10830","last_updated":"2026-05-20T12:43:42Z","snapshot_observed_at":"2026-07-06T23:22:42.512039Z","submitted_at":"2026-05-11T16:47:25Z","title":"Predicting 3D structure by latent posterior sampling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T05:12:29.853347Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.10830"},"observation_digest":"sha256:f1a618bb123f96b21d9514910a1720c666db61c7e46fe79090127980173acee1","observation_id":"f513e758-09bb-4e09-8974-f1b5786e626a","resolution":{"observed_at":"2026-05-12T05:31:24.904721Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.10830","last_updated":"2026-05-20T12:43:42Z","snapshot_observed_at":"2026-07-06T23:22:42.512039Z","submitted_at":"2026-05-11T16:47:25Z","title":"Predicting 3D structure by latent posterior sampling","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-20T22:25:08.497485Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.10830"},"observation_digest":"sha256:bfe821eff1160a70702fd96fe5e80c18d46105dab34b27604993608ed6671f29","observation_id":"ce5cbea7-1e34-405e-97bf-0d3836aff629","resolution":{"observed_at":"2026-05-20T22:29:09.714132Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.10830","last_updated":"2026-05-20T12:43:42Z","snapshot_observed_at":"2026-07-06T23:22:42.512039Z","submitted_at":"2026-05-11T16:47:25Z","title":"Predicting 3D structure by latent posterior sampling","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-21T08:03:02.821995Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.10830"},"observation_digest":"sha256:6ce418cb10b1e2480d3c10fedc3a7df36787a6626f381b77172144f713bc0e4a","observation_id":"798a44e5-e9ef-41c3-93c6-fce533eae1a3","resolution":{"observed_at":"2026-05-21T08:04:02.569215Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2605.19959","last_updated":"2026-05-19T15:12:05Z","snapshot_observed_at":"2026-08-02T05:01:08.928162Z","submitted_at":"2026-05-19T15:12:05Z","title":"Learning Orthonormal Bases for Function Spaces","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-20T07:50:54.107354Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2605.19959"},"observation_digest":"sha256:6578770acab67bdfd8b814463d51eca35f8ed4b535d907008607a4bea390ece3","observation_id":"d72ff938-af3a-42f7-bb86-1b9bef892844","resolution":{"observed_at":"2026-05-20T07:53:09.839989Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2606.00404","last_updated":"2026-05-29T22:44:52Z","snapshot_observed_at":"2026-07-06T23:41:05.637982Z","submitted_at":"2026-05-29T22:44:52Z","title":"Rethinking Amortized Neural Representations for High-Resolution Terrain Elevation Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-28T22:31:38.009597Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2606.00404"},"observation_digest":"sha256:5d4a3b68a9e960cfa9ed2937d597b99f07c9dd22fc340f135c0e4a75e7976f57","observation_id":"01c55489-1930-4999-acd8-cb0a742eb6d5","resolution":{"observed_at":"2026-06-28T22:32:43.883134Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2606.12200","last_updated":"2026-06-10T15:19:41Z","snapshot_observed_at":"2026-07-06T23:51:07.629939Z","submitted_at":"2026-06-10T15:19:41Z","title":"Implicit Neural Representations of Individual Behavior","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-06-27T10:27:47.896922Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2606.12200"},"observation_digest":"sha256:810985759204b0ede186469b45783c94a13bba38147711597b344d60c4fc1031","observation_id":"5bae310b-23f6-4be3-8e6a-98b74c590826","resolution":{"observed_at":"2026-07-03T09:17:48.505937Z","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":"2201.12204","last_updated":"2022-11-10T13:32:44Z","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one","version":3},"cited_work":{"arxiv_id":"2201.12204","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2201.12204","snapshot_observed_at":"2026-07-03T17:08:42.732388Z","title":"From data to functa: Your data point is a function and you can treat it like one.arXiv preprint arXiv:2201.12204","venue":null,"work_id":"0284c2c8-1587-4b02-92a6-024906aba9d2","year":2022},"citing_paper":{"arxiv_id":"2607.02166","last_updated":"2026-07-02T13:36:19Z","snapshot_observed_at":"2026-08-06T17:26:07.609436Z","submitted_at":"2026-07-02T13:36:19Z","title":"Dynamic Neural Graph Encoding of Inference Processes in Deep Weight Space","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-03T17:03:25.354819Z"},"links":{"cited_paper":"/paper/2201.12204","citing_paper":"/paper/2607.02166"},"observation_digest":"sha256:1428befd13929c9b19ad9220b61f81a139c80a7de12364db2f287d10495f4ed0","observation_id":"066bd899-5c81-46cf-ae9c-05b6527f8388","resolution":{"observed_at":"2026-07-03T17:08:42.734125Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2201.12204/citation-record","integrity":"/paper/2201.12204/integrity","json":"/paper/2201.12204/citation-record.json","paper":"/paper/2201.12204"},"outbound":[],"paper":{"arxiv_id":"2201.12204","last_updated":"2022-11-10T13:32:44Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T02:05:23.149881Z","submitted_at":"2022-01-28T15:59:58Z","title":"From data to functa: Your data point is a function and you can treat it like one"},"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 26 inbound Pith citation observations for arXiv:2201.12204."}