{"as_of":"2026-08-20T18:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0750b403d9b672d9a6009813072d851f93df6bdb688b4c403e4d5b27cca3a2b0","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T11:52:36.334317Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T09:05:42.086334Z","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":"2026-07-04T10:09:45.085248Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"cited_work":{"arxiv_id":"2504.14416","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.14416","snapshot_observed_at":"2026-07-04T10:09:45.085248Z","title":"Exploring pseudo-token approaches in trans- former neural processes.arXiv preprint arXiv:2504.14416","venue":null,"work_id":"3c8253d4-203c-4ea7-859e-d06514be5117","year":null},"citing_paper":{"arxiv_id":"2510.09477","last_updated":"2026-04-20T19:02:57Z","snapshot_observed_at":"2026-07-06T22:32:17.816175Z","submitted_at":"2025-10-10T15:32:58Z","title":"Efficient Autoregressive Inference for Transformer Probabilistic Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-18T07:50:17.719474Z"},"links":{"cited_paper":"/paper/2504.14416","citing_paper":"/paper/2510.09477"},"observation_digest":"sha256:8fa82b23e73663b37d71236791928c0db5419223a0d946db078ad0ac4ee209d7","observation_id":"82751b54-fb0a-4a01-a38d-379a61719ab5","resolution":{"observed_at":"2026-05-18T07:51:03.911099Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"cited_work":{"arxiv_id":"2504.14416","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.14416","snapshot_observed_at":"2026-07-04T10:09:45.085248Z","title":"Exploring pseudo-token approaches in trans- former neural processes.arXiv preprint arXiv:2504.14416","venue":null,"work_id":"3c8253d4-203c-4ea7-859e-d06514be5117","year":null},"citing_paper":{"arxiv_id":"2606.22946","last_updated":"2026-06-22T07:25:01Z","snapshot_observed_at":"2026-08-08T02:50:45.989382Z","submitted_at":"2026-06-22T07:25:01Z","title":"Neural Operator Processes for Probabilistic Operator Learning under Partial Observations","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-26T09:05:42.086334Z"},"links":{"cited_paper":"/paper/2504.14416","citing_paper":"/paper/2606.22946"},"observation_digest":"sha256:9fac15b7f819c7bb48783db6bbe6ba799c63df63db96192a030a95b50bc19007","observation_id":"ebf6e049-b658-446c-a195-134a4ef2132b","resolution":{"observed_at":"2026-07-04T10:09:45.086912Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2504.14416/citation-record","integrity":"/paper/2504.14416/integrity","json":"/paper/2504.14416/citation-record.json","paper":"/paper/2504.14416"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.276574Z","title":"Emnist: Extending mnist to handwritten letters","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.276574Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:634463bccd95e8b388a0a16f426ddba9fa3e93938dc1a1f33853b9e2d08f67b3","observation_id":"4eceed1f-6a97-4a11-add9-4baf58dbc2cc","resolution":{"observed_at":"2026-08-16T11:52:36.276574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.08458","last_updated":"2023-03-01T20:34:17Z","snapshot_observed_at":"2026-08-19T13:59:38.528692Z","submitted_at":"2022-11-15T19:21:41Z","title":"Latent Bottlenecked Attentive Neural Processes","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.08458","snapshot_observed_at":"2026-08-16T11:52:36.280630Z","title":"Latent bottlenecked attentive neural processes","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.280630Z"},"links":{"cited_paper":"/paper/2211.08458","citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:bfa1d8a9380aa5dceca6600a45da0f504d5d9d5b41c5a784e6572ded5d831b36","observation_id":"d88427f0-1af9-43bb-8ee4-723d6cb06941","resolution":{"observed_at":"2026-08-16T11:52:36.280630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02811","last_updated":"2018-07-08T13:06:26Z","snapshot_observed_at":"2026-08-18T00:58:48.914606Z","submitted_at":"2018-07-08T13:06:26Z","title":"A Tutorial on Bayesian Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.02811","snapshot_observed_at":"2026-08-16T11:52:36.284834Z","title":"A tutorial on bayesian optimization","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.284834Z"},"links":{"cited_paper":"/paper/1807.02811","citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:8ff34a4ba6cbdb7a81c36f70e9a5145584530f5eb4c824227f23c6f133f1fc60","observation_id":"83781cda-01a3-4710-b967-5a76744b9b3a","resolution":{"observed_at":"2026-08-16T11:52:36.284834Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.502780Z","title":"Conditional neural processes","venue":null,"work_id":"f9f28d5d-c6e5-4a2f-9c61-2d98499b9c6e","year":2018},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.288993Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:bd1d8ff53300e980428849e211a558473fa85283d886af2a6867db7af0a00fff","observation_id":"e7b47e0d-a2b9-4cff-a06a-1484c69d3c71","resolution":{"observed_at":"2026-08-16T11:52:36.506806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.01622","last_updated":"2018-07-04T14:49:46Z","snapshot_observed_at":"2026-08-14T18:55:44.864275Z","submitted_at":"2018-07-04T14:49:46Z","title":"Neural Processes","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.01622","snapshot_observed_at":"2026-08-16T11:52:36.292998Z","title":"Neural processes","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.292998Z"},"links":{"cited_paper":"/paper/1807.01622","citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:2c67f8aa00408116d20899e397633c3e2e936294c2597d5544d46c627d741431","observation_id":"2b9646d2-9e46-4d10-877e-035175be94fc","resolution":{"observed_at":"2026-08-16T11:52:36.292998Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1901.05761","last_updated":"2019-07-09T10:49:01Z","snapshot_observed_at":"2026-08-14T17:29:40.746498Z","submitted_at":"2019-01-17T12:37:26Z","title":"Attentive Neural Processes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.05761","snapshot_observed_at":"2026-08-16T11:52:36.297253Z","title":"Attentive neural processes","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.297253Z"},"links":{"cited_paper":"/paper/1901.05761","citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:6a7801bfa1ae2d44ba8486887b6d4a788c9c6b60aa58990eda7de05efb89eabb","observation_id":"230afbd9-9f36-4a96-a178-6d00ca266f7c","resolution":{"observed_at":"2026-08-16T11:52:36.297253Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.490063Z","title":"Self-attention between datapoints: Going beyond individual input-output pairs in deep learning","venue":null,"work_id":"2a454629-f7a4-4b29-8fc3-edac03580a5f","year":2021},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.301822Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:a8ccb50e484dde95c29b20cfcf17ac0ebbcdc4a15ecad9766ec7bcd1dcaa7192","observation_id":"a2d00516-b044-4f5d-b000-2031e642c802","resolution":{"observed_at":"2026-08-16T11:52:36.494089Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.305526Z","title":"Set transformer: A framework for attention-based permutation-invariant neural networks","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.305526Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:de1448b7a7ffb0a25583d00def8b48f11e85e803ad54e4e998d9b50b7864513f","observation_id":"efc90f89-2f7e-49b5-b27a-2b94c4780136","resolution":{"observed_at":"2026-08-16T11:52:36.305526Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.309240Z","title":"Deep learning face attributes in the wild","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.309240Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:bf7c91ffd8cd63a0f43682ab01a334f54bf8106f5d25aed5792165ba9a12ad34","observation_id":"bf5872b4-6506-40be-b6c1-604ba134a175","resolution":{"observed_at":"2026-08-16T11:52:36.309240Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2207.04179","last_updated":"2023-02-07T23:50:34Z","snapshot_observed_at":"2026-08-19T02:20:05.784828Z","submitted_at":"2022-07-09T02:28:58Z","title":"Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2207.04179","snapshot_observed_at":"2026-08-16T11:52:36.313182Z","title":"Transformer neural processes: Uncertainty-aware meta learning via sequence modeling","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.313182Z"},"links":{"cited_paper":"/paper/2207.04179","citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:e46a538734b5208b32041b5f66208f61b3042f5951c6deff62f3646be7ce1f3b","observation_id":"f8207b7a-a4a4-4e75-b1c0-b3601937c243","resolution":{"observed_at":"2026-08-16T11:52:36.313182Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.463451Z","title":"Gaussian processes for machine learning","venue":null,"work_id":"f302d220-38d1-4038-b9cc-100888ce90b7","year":2006},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.317448Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:a131cffbf6cbee12d413cec6c7655fab6a3601cf79cbb98b44a8623bf5fe6b96","observation_id":"bcf37cd5-334c-4de3-a39f-2a959a70b523","resolution":{"observed_at":"2026-08-16T11:52:36.467391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2205.11718","last_updated":"2023-03-30T06:13:59Z","snapshot_observed_at":"2026-08-20T06:53:06.252494Z","submitted_at":"2022-05-24T01:42:46Z","title":"Semi-Parametric Inducing Point Networks and Neural Processes","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.11718","snapshot_observed_at":"2026-08-16T11:52:36.321239Z","title":"Semi-parametric inducing point networks and neural processes","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.321239Z"},"links":{"cited_paper":"/paper/2205.11718","citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:e1f897c051842038beaede9530924986d1c7cc6fb6963bae87c5155379b6bb3f","observation_id":"4e53b164-bbd0-44df-b4f4-24eb2cee69c3","resolution":{"observed_at":"2026-08-16T11:52:36.321239Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1802.09127","last_updated":"2018-02-26T02:04:57Z","snapshot_observed_at":"2026-08-18T19:31:02.938218Z","submitted_at":"2018-02-26T02:04:57Z","title":"Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.09127","snapshot_observed_at":"2026-08-16T11:52:36.326596Z","title":"Deep bayesian bandits showdown: An empirical comparison of bayesian deep networks for thompson sampling","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.326596Z"},"links":{"cited_paper":"/paper/1802.09127","citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:84da00bdf7b87a5ca4896e14d6f02031e2796bf137f940d2db7f112f334bf18d","observation_id":"fcd339d0-d44a-4586-93d2-087bb4427012","resolution":{"observed_at":"2026-08-16T11:52:36.326596Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.330432Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.330432Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:f9bf8ddbfbccf560aeeec0dab494c3618006839f62929c96127e18b785bbb0fc","observation_id":"a7a32b1e-ddc1-4e6d-b7eb-f519224ad699","resolution":{"observed_at":"2026-08-16T11:52:36.330432Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T11:52:36.441050Z","title":"Deep stochastic processes via functional markov transition operators","venue":null,"work_id":"d1edf53b-ed1f-4bd0-97c0-dd99df5ad3f2","year":2024},"citing_paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-16T11:52:36.334317Z"},"links":{"citing_paper":"/paper/2504.14416"},"observation_digest":"sha256:5a5e8d92c676674e78da78203332183acf86eab1099ab88ab57409a0c14e26cc","observation_id":"d58ece9d-6408-4530-a845-d7d0380acff5","resolution":{"observed_at":"2026-08-16T11:52:36.447153Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2504.14416","last_updated":"2025-04-19T22:47:59Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T08:49:06.020875Z","submitted_at":"2025-04-19T22:47:59Z","title":"Exploring Pseudo-Token Approaches in Transformer Neural Processes"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":4},"total_outbound_references":15},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 2 inbound Pith citation observations for arXiv:2504.14416."}