{"as_of":"2026-08-09T01:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:08ad696be28894172591f6e637f78a0f3b8ff4ca29359302e2e6171e12f5e524","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:01:37.362255Z","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":"2026-07-04T06:29:37.378597Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-08-07T12:01:37.362255Z","title":"On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.00918","last_updated":"2025-06-01T09:13:27Z","snapshot_observed_at":"2026-08-07T11:52:31.292702Z","submitted_at":"2025-06-01T09:13:27Z","title":"Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T12:01:37.362255Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2506.00918"},"observation_digest":"sha256:fdba088b003233a96165b1426c5d23cfaa83a60da5a568580840717dfad45ba6","observation_id":"a8598331-425e-4aea-8593-6f238a790b47","resolution":{"observed_at":"2026-08-07T12:01:37.362255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-08-07T00:24:20.250696Z","title":"On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.14294","last_updated":"2025-06-17T08:10:39Z","snapshot_observed_at":"2026-08-07T14:54:54.323366Z","submitted_at":"2025-06-17T08:10:39Z","title":"Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T00:24:20.250696Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2506.14294"},"observation_digest":"sha256:1b2b785f55df9bd77ea113552b6c3c15b206891dc73fd9adb8c6ed91e4f37e39","observation_id":"f99613d1-2817-4566-b90d-f5a0bb46326d","resolution":{"observed_at":"2026-08-07T00:24:20.250696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-08-06T22:38:49.000385Z","title":"Seitzer, A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.21153","last_updated":"2025-06-26T11:23:04Z","snapshot_observed_at":"2026-08-08T19:51:20.733730Z","submitted_at":"2025-06-26T11:23:04Z","title":"Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-06T22:38:49.000385Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2506.21153"},"observation_digest":"sha256:1c51bf8badbb0db1180e06c404d69e4fc64b82e4837ff11f22a4c3c7aac617e1","observation_id":"c736b228-cf23-4f97-b7b3-4dd7a2390ad2","resolution":{"observed_at":"2026-08-06T22:38:49.000385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-08-05T14:25:29.931810Z","title":"On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.21468","last_updated":"2025-08-29T09:49:15Z","snapshot_observed_at":"2026-08-07T02:36:09.870689Z","submitted_at":"2025-08-29T09:49:15Z","title":"Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-05T14:25:29.931810Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2508.21468"},"observation_digest":"sha256:e087dab687d2d52ae2e96c29b64610264337c575b7924ac2a336a4c8b8adb6db","observation_id":"80e0e365-2cc7-4269-af1e-7514071941a0","resolution":{"observed_at":"2026-08-05T14:25:29.931810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2509.00155","last_updated":"2026-03-13T15:56:11Z","snapshot_observed_at":"2026-07-06T22:20:50.350336Z","submitted_at":"2025-08-29T18:00:02Z","title":"Amplitude Uncertainties Everywhere All at Once","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-18T19:21:24.292766Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2509.00155"},"observation_digest":"sha256:e27f980ab9a319d91d98414f2e8d3ebf23ace60e28597e46eee48b5388f6f381","observation_id":"77e3fac8-b668-4a08-a6f2-a15cf07b5f37","resolution":{"observed_at":"2026-05-18T19:21:46.944254Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2602.15353","last_updated":"2026-07-28T05:57:03Z","snapshot_observed_at":"2026-08-02T22:56:56.297957Z","submitted_at":"2026-02-17T04:47:29Z","title":"NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-15T22:09:30.370382Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2602.15353"},"observation_digest":"sha256:cbf8d378b95be17a59b0a713f1c95068d36010a15085a2e3f4933c73f416acad","observation_id":"71d85b8e-9b72-4e00-81e9-ca54b0868df2","resolution":{"observed_at":"2026-05-15T22:10:21.538414Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-08-02T22:57:00.166501Z","title":"On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks.arXiv preprint arXiv:2203.09168, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.15353","last_updated":"2026-07-28T05:57:03Z","snapshot_observed_at":"2026-08-02T22:56:56.297957Z","submitted_at":"2026-02-17T04:47:29Z","title":"NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering","version":4},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-02T22:57:00.166501Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2602.15353"},"observation_digest":"sha256:dec6b4ab65c6fd37cdf4356f43ea1caab13fea5f7978ce530ec88904ebf7440f","observation_id":"add514de-5d7b-4c59-bb15-29f2cf71b0d3","resolution":{"observed_at":"2026-08-02T22:57:00.166501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2604.21717","last_updated":"2026-04-22T04:26:49Z","snapshot_observed_at":"2026-08-04T17:14:01.140420Z","submitted_at":"2026-04-22T04:26:49Z","title":"Monte Carlo PDE Solvers for Nonlinear Radiative Boundary Conditions","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-05-09T23:22:40.283140Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2604.21717"},"observation_digest":"sha256:710c4cc8c7f412dd8f0c85deb50aadb2f414eb7e178d64d59b35c9a5374a1e1e","observation_id":"9cec4265-c29b-4a55-bbd6-3b95b916db91","resolution":{"observed_at":"2026-05-11T14:11:04.449276Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2605.07819","last_updated":"2026-05-08T14:50:13Z","snapshot_observed_at":"2026-07-06T23:20:11.042952Z","submitted_at":"2026-05-08T14:50:13Z","title":"Probabilistic denoising for reliable signal extraction in spectroscopy","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-11T02:36:19.020830Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2605.07819"},"observation_digest":"sha256:050235c4763b85ff7dca80f08737b9d6f72217e8ddb38bc59ec1a7f86c9eccb3","observation_id":"6d8bea2d-0013-44b2-b7bd-611ef82a4c57","resolution":{"observed_at":"2026-05-11T03:10:53.982468Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2605.11865","last_updated":"2026-05-12T09:46:26Z","snapshot_observed_at":"2026-07-06T23:23:39.723268Z","submitted_at":"2026-05-12T09:46:26Z","title":"Variance-aware Reward Modeling with Anchor Guidance","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-05-13T05:11:05.546092Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2605.11865"},"observation_digest":"sha256:fe120a83baafe260025ebebe5f2d191206cc369472ccbe91166d2d0fb4168341","observation_id":"322b164a-bd94-401e-92de-191aa70521bb","resolution":{"observed_at":"2026-05-13T05:12:17.500924Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2606.06631","last_updated":"2026-06-04T18:31:00Z","snapshot_observed_at":"2026-08-05T15:11:08.546166Z","submitted_at":"2026-06-04T18:31:00Z","title":"From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-28T02:08:06.586750Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2606.06631"},"observation_digest":"sha256:5059753482af8c3ed6bfee05064f4054413dc792c4647e9798958cc71063e082","observation_id":"69634c95-911b-4386-ae1c-1c1d18d1c0f1","resolution":{"observed_at":"2026-07-02T12:26:56.768444Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2606.09037","last_updated":"2026-07-31T07:37:16Z","snapshot_observed_at":"2026-08-05T23:10:45.974942Z","submitted_at":"2026-06-08T05:07:46Z","title":"A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-27T16:51:55.887259Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2606.09037"},"observation_digest":"sha256:fee3bdc62fa1d40b3fe3ffd63326a116cf96caa9945a792d6077b83ec4780725","observation_id":"4b77e734-a11c-45f4-b48b-376f0b95c589","resolution":{"observed_at":"2026-07-03T00:57:30.659978Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-08-03T02:14:46.033991Z","title":"On the pitfalls of heteroscedastic uncertainty estimation with probabilistic neural networks.arXiv preprint arXiv:2203.09168, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2606.09037","last_updated":"2026-07-31T07:37:16Z","snapshot_observed_at":"2026-08-05T23:10:45.974942Z","submitted_at":"2026-06-08T05:07:46Z","title":"A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T02:14:46.033991Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2606.09037"},"observation_digest":"sha256:d9a523d57b3ce50b0f87666d964b0c7e81fdec94b9931b7f8fb1bec682eb3961","observation_id":"6e0af9d5-6c27-448f-b7fb-36d6e386df23","resolution":{"observed_at":"2026-08-03T02:14:46.033991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2606.16578","last_updated":"2026-06-29T03:02:13Z","snapshot_observed_at":"2026-07-06T23:52:37.922109Z","submitted_at":"2026-06-15T11:23:26Z","title":"Walking on Heat Stars for Parabolic Heat Equations with Neumann Boundary Conditions","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T11:32:07.412028Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2606.16578"},"observation_digest":"sha256:fb77896b1591e5f8ee605335f1cd3257f33e39935581d90375cef14df2bf2964","observation_id":"cde6212f-4600-429f-b55c-693c6e5a76f2","resolution":{"observed_at":"2026-06-30T11:34:37.619938Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2606.21728","last_updated":"2026-06-19T20:31:04Z","snapshot_observed_at":"2026-08-02T17:44:17.943628Z","submitted_at":"2026-06-19T20:31:04Z","title":"Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-06-26T14:28:35.197163Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2606.21728"},"observation_digest":"sha256:26cc0a3cdc08601a2ea3121e361e787249274d002b7de1100c65dbc74d13f23e","observation_id":"dcca9538-29d9-4162-95f2-ab4dc5a4ff44","resolution":{"observed_at":"2026-07-04T06:29:37.384473Z","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":"2203.09168","last_updated":"2022-04-01T07:01:22Z","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks","version":2},"cited_work":{"arxiv_id":"2203.09168","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2203.09168","snapshot_observed_at":"2026-07-04T06:29:37.378597Z","title":"Seitzer, A","venue":null,"work_id":"82e3e523-4a97-4f79-b162-a551f4262ba4","year":2022},"citing_paper":{"arxiv_id":"2606.28287","last_updated":"2026-06-26T17:31:34Z","snapshot_observed_at":"2026-08-08T11:16:57.244115Z","submitted_at":"2026-06-26T17:31:34Z","title":"Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-06-29T01:49:57.978397Z"},"links":{"cited_paper":"/paper/2203.09168","citing_paper":"/paper/2606.28287"},"observation_digest":"sha256:6e9495671f727cff20ae3964251df053e5ad10d2133bd903b17943e699c37165","observation_id":"a2ce9283-3567-4303-afba-bc911755c18b","resolution":{"observed_at":"2026-07-01T18:35:59.136205Z","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/2203.09168/citation-record","integrity":"/paper/2203.09168/integrity","json":"/paper/2203.09168/citation-record.json","paper":"/paper/2203.09168"},"outbound":[],"paper":{"arxiv_id":"2203.09168","last_updated":"2022-04-01T07:01:22Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T17:35:49.376335Z","submitted_at":"2022-03-17T08:46:17Z","title":"On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks"},"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 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2203.09168."}