Paper Citation Record · LEDGER

Exploring Pseudo-Token Approaches in Transformer Neural Processes

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.14416 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:52:36.334317Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:05:42.086334Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T10:09:45.085248Z

Reference resolution

15 of 15 outbound references displayed

verified exact0
verified fuzzy4
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4eceed1f-6a97-4a11-add9-4baf58dbc2cc · outbound

This paper cites Emnist: Extending mnist to handwritten letters.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Emnist: Extending mnist to handwritten letters

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.276574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d88427f0-1af9-43bb-8ee4-723d6cb06941 · outbound

This paper cites Latent Bottlenecked Attentive Neural Processes.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Latent Bottlenecked Attentive Neural Processes

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.280630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83781cda-01a3-4710-b967-5a76744b9b3a · outbound

This paper cites A Tutorial on Bayesian Optimization.

Exploring Pseudo-Token Approaches in Transformer Neural Processes A Tutorial on Bayesian Optimization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.284834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b47e0d-a2b9-4cff-a06a-1484c69d3c71 · outbound

This paper cites Conditional neural processes.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Conditional neural processes

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:36.506806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b9646d2-9e46-4d10-877e-035175be94fc · outbound

This paper cites Neural Processes.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Neural Processes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.292998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 230afbd9-9f36-4a96-a178-6d00ca266f7c · outbound

This paper cites Attentive Neural Processes.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Attentive Neural Processes

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.297253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d00516-b044-4f5d-b000-2031e642c802 · outbound

This paper cites Self-attention between datapoints: Going beyond individual input-output pairs in deep learning.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Self-attention between datapoints: Going beyond individual input-output pairs in deep learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:36.494089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation efc90f89-2f7e-49b5-b27a-2b94c4780136 · outbound

This paper cites Set transformer: A framework for attention-based permutation-invariant neural networks.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Set transformer: A framework for attention-based permutation-invariant neural networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.305526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf5872b4-6506-40be-b6c1-604ba134a175 · outbound

This paper cites Deep learning face attributes in the wild.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Deep learning face attributes in the wild

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.309240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8207b7a-a4a4-4e75-b1c0-b3601937c243 · outbound

This paper cites Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.313182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcf37cd5-334c-4de3-a39f-2a959a70b523 · outbound

This paper cites Gaussian processes for machine learning.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Gaussian processes for machine learning

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:36.467391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e53b164-bbd0-44df-b4f4-24eb2cee69c3 · outbound

This paper cites Semi-Parametric Inducing Point Networks and Neural Processes.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Semi-Parametric Inducing Point Networks and Neural Processes

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.321239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcd339d0-d44a-4586-93d2-087bb4427012 · outbound

This paper cites Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Deep Bayesian Bandits Showdown: An Empirical Comparison of Bayesian Deep Networks for Thompson Sampling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.326596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7a32b1e-ddc1-4e6d-b7eb-f519224ad699 · outbound

This paper cites Attention is all you need.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Attention is all you need

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T11:52:36.330432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d58ece9d-6408-4530-a845-d7d0380acff5 · outbound

This paper cites Deep stochastic processes via functional markov transition operators.

Exploring Pseudo-Token Approaches in Transformer Neural Processes Deep stochastic processes via functional markov transition operators

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:52:36.447153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation 82751b54-fb0a-4a01-a38d-379a61719ab5 · inbound

Efficient Autoregressive Inference for Transformer Probabilistic Models cites this paper.

Efficient Autoregressive Inference for Transformer Probabilistic Models Exploring Pseudo-Token Approaches in Transformer Neural Processes

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:51:03.911099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ebf6e049-b658-446c-a195-134a4ef2132b · inbound

Neural Operator Processes for Probabilistic Operator Learning under Partial Observations cites this paper.

Neural Operator Processes for Probabilistic Operator Learning under Partial Observations Exploring Pseudo-Token Approaches in Transformer Neural Processes

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:09:45.086912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.