Paper Citation Record · LEDGER

Position: The Future of Bayesian Prediction Is Prior-Fitted

As of 19 August 2026, this Paper Citation Record lists 97 of 97 outbound references and 6 inbound Pith citation observations for arXiv:2505.23947.

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

pith.paper-citation-record.v1
2505.23947 v1

Coverage vector

measured 97 of 97 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:43.176246Z

measured 103 of 103 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:54:17.391322Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:39:05.068196Z

Reference resolution

97 of 97 outbound references displayed

verified exact3
verified fuzzy38
unresolved54
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf5eb8de-e4b2-47e9-8dd9-e6ca9b817e60 · outbound

This paper cites write newline.

Position: The Future of Bayesian Prediction Is Prior-Fitted write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:33.854527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15bc59af-bd2f-4729-81c2-45a241741bae · outbound

This paper cites Efficient bayesian learning curve extrapolation using prior-data fitted networks.

Position: The Future of Bayesian Prediction Is Prior-Fitted Efficient bayesian learning curve extrapolation using prior-data fitted networks

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:33.946993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7182675d-e13b-4f33-a05c-d36a1d6f5672 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:34.011758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d811322e-bbce-436f-9e47-9d6f7fc840c9 · outbound

This paper cites Transformers as statisticians: Provable in-context learning with in-context algorithm selection.

Position: The Future of Bayesian Prediction Is Prior-Fitted Transformers as statisticians: Provable in-context learning with in-context algorithm selection

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:34.127051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a2b9e0d-8771-4b9e-87c2-871505264879 · outbound

This paper cites Transformers need glasses! Information over-squashing in language tasks.

Position: The Future of Bayesian Prediction Is Prior-Fitted Transformers need glasses! Information over-squashing in language tasks

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:34.259965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 593c206f-e374-4dec-8ba1-c968f4f89893 · outbound

This paper cites K., Swelam, O., Siems, J., Salinas, D., and Hutter, F.

Position: The Future of Bayesian Prediction Is Prior-Fitted K., Swelam, O., Siems, J., Salinas, D., and Hutter, F

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:34.397541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b691f343-96f2-4b82-a414-c7ab2a5fb0ba · outbound

This paper cites Weight uncertainty in neural network.

Position: The Future of Bayesian Prediction Is Prior-Fitted Weight uncertainty in neural network

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:34.549681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22e93ae7-fb0a-42ba-bf3c-faf187a2c0b5 · outbound

This paper cites Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning.

Position: The Future of Bayesian Prediction Is Prior-Fitted Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:40:44.788332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 041bf16c-d4fe-40bf-a7d2-283a3ea01a9f · outbound

This paper cites Random forests.

Position: The Future of Bayesian Prediction Is Prior-Fitted Random forests

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:34.799291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d8e9da0-43e2-4bd1-a9dc-7b95354dbcae · outbound

This paper cites R., Ober, S.

Position: The Future of Bayesian Prediction Is Prior-Fitted R., Ober, S

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:34.930592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12b08e27-05b8-4152-97bd-3cae664b43d9 · outbound

This paper cites In-context learning for latency estimation.

Position: The Future of Bayesian Prediction Is Prior-Fitted In-context learning for latency estimation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.030041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5acb92a3-dd0d-4a74-bef6-d49cddd97450 · outbound

This paper cites and Guestrin, C.

Position: The Future of Bayesian Prediction Is Prior-Fitted and Guestrin, C

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.181683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1690451-734d-4a53-8a22-143c82b669e7 · outbound

This paper cites The frontier of simulation-based inference.

Position: The Future of Bayesian Prediction Is Prior-Fitted The frontier of simulation-based inference

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.329765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a34ab23-9214-4701-a0bc-2238a732417a · outbound

This paper cites Autoaugment : Learning augmentation strategies from data.

Position: The Future of Bayesian Prediction Is Prior-Fitted Autoaugment : Learning augmentation strategies from data

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.467950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79aefa81-c4ec-4a0d-879e-bd71670a8cbb · outbound

This paper cites and Dalca, A.

Position: The Future of Bayesian Prediction Is Prior-Fitted and Dalca, A

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.596471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f24ae0f-5ce9-473a-b458-f94e50064d2e · outbound

This paper cites Deep Symbolic Regression for Recurrent Sequences.

Position: The Future of Bayesian Prediction Is Prior-Fitted Deep Symbolic Regression for Recurrent Sequences

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.695132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a760047a-bb01-491c-9695-c8812290f534 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Position: The Future of Bayesian Prediction Is Prior-Fitted DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.846837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5108779-0e5c-4693-bb04-e1c3e07823fa · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

Position: The Future of Bayesian Prediction Is Prior-Fitted ImageNet: A Large-Scale Hierarchical Image Database

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.920145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5bd6134-2d5f-45e6-a912-f5a9f5b6fca1 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:35.992900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069e1312-77d7-4c50-b669-992f443d0eab · outbound

This paper cites S., Mohapatra, C., Naidu, S.

Position: The Future of Bayesian Prediction Is Prior-Fitted S., Mohapatra, C., Naidu, S

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:36.077019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea8b76d-7076-4c3e-ab4c-e2a5ee204566 · outbound

This paper cites Data on machine learning hardware, 2024 a.

Position: The Future of Bayesian Prediction Is Prior-Fitted Data on machine learning hardware, 2024 a

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:36.166923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bc198e2-14f0-455a-b673-ee02c42c7553 · outbound

This paper cites Data on notable ai models, 2024 b.

Position: The Future of Bayesian Prediction Is Prior-Fitted Data on notable ai models, 2024 b

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:54.719041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0eb73ccf-8171-44d0-a815-2b2c86d915b9 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:54.598511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 211c76de-123e-4481-a77a-df405572e788 · outbound

This paper cites Reducing Transformer Depth on Demand with Structured Dropout.

Position: The Future of Bayesian Prediction Is Prior-Fitted Reducing Transformer Depth on Demand with Structured Dropout

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:36.354788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d613cb5e-a888-4117-ac26-89acd4efb95b · outbound

This paper cites White, C.

Position: The Future of Bayesian Prediction Is Prior-Fitted White, C

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:54.484993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 068dbb8d-12ae-4626-bc6c-4a3d8e04a9be · outbound

This paper cites TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks.

Position: The Future of Bayesian Prediction Is Prior-Fitted TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:36.538524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 003e879e-d315-4bb4-86de-4f928b16ae18 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Position: The Future of Bayesian Prediction Is Prior-Fitted Model-agnostic meta-learning for fast adaptation of deep networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:54.343593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b6729d95-4899-4eec-8d37-3a8de9c2551f · outbound

This paper cites Conditional neural processes.

Position: The Future of Bayesian Prediction Is Prior-Fitted Conditional neural processes

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:54.214526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 861085e1-2075-4675-bdba-f9c46b909396 · outbound

This paper cites Neural Processes.

Position: The Future of Bayesian Prediction Is Prior-Fitted Neural Processes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:36.862775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 515e1a01-6568-4a41-97fb-5f914ab08a0f · outbound

This paper cites Bayesian Optimization.

Position: The Future of Bayesian Prediction Is Prior-Fitted Bayesian Optimization

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:36.933903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acabd194-e886-4c45-a36f-fc63ba8e6281 · outbound

This paper cites D., Wildberger, J., Dax, M., Kofler, A., Angerhausen, D., Quanz, S.

Position: The Future of Bayesian Prediction Is Prior-Fitted D., Wildberger, J., Dax, M., Kofler, A., Angerhausen, D., Quanz, S

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:54.095701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5be5eef-0247-4f40-8b43-591a06830ddb · outbound

This paper cites All-in-one simulation-based inference.

Position: The Future of Bayesian Prediction Is Prior-Fitted All-in-one simulation-based inference

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:37.096916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498cf937-1942-4ae6-a9f2-091af6315458 · outbound

This paper cites Deep Learning.

Position: The Future of Bayesian Prediction Is Prior-Fitted Deep Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:37.204694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3fa9e09-7f18-450d-9f35-bca9a7e4c61c · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:53.992560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a12766f3-67fb-4d05-850c-7c177feee36d · outbound

This paper cites Automatic posterior transformation for likelihood-free inference.

Position: The Future of Bayesian Prediction Is Prior-Fitted Automatic posterior transformation for likelihood-free inference

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:53.862962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66a9d108-2478-4b07-ae27-f615fdc194c8 · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Position: The Future of Bayesian Prediction Is Prior-Fitted Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:37.434583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87465f44-3357-4820-a7d3-f0c301964a90 · outbound

This paper cites Drift-resilient tab PFN : In-context learning temporal distribution shifts on tabular data.

Position: The Future of Bayesian Prediction Is Prior-Fitted Drift-resilient tab PFN : In-context learning temporal distribution shifts on tabular data

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:53.731239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2c186ea9-ee7f-491f-abd7-a93d92ae8f36 · outbound

This paper cites C., Atkinson, D., Thompson, N., and Sevilla, J.

Position: The Future of Bayesian Prediction Is Prior-Fitted C., Atkinson, D., Thompson, N., and Sevilla, J

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:53.644924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 806d7a77-dca6-4019-863f-eb26e3eabefa · outbound

This paper cites D., Blei, D.

Position: The Future of Bayesian Prediction Is Prior-Fitted D., Blei, D

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:53.561926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e2267a86-2e65-4efa-8906-0b60de3c8b1c · outbound

This paper cites D., Gelman, A., et al.

Position: The Future of Bayesian Prediction Is Prior-Fitted D., Gelman, A., et al

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:53.337339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6ac39f3b-a939-453c-87dd-6d93ece1b6df · outbound

This paper cites Tab PFN : A transformer that solves small tabular classification problems in a second.

Position: The Future of Bayesian Prediction Is Prior-Fitted Tab PFN : A transformer that solves small tabular classification problems in a second

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:53.118448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4d8019c8-8f8b-48f3-a4cb-c083bbbe4edb · outbound

This paper cites u ller, S., Purucker, L., Krishnakumar, A., K \.

Position: The Future of Bayesian Prediction Is Prior-Fitted u ller, S., Purucker, L., Krishnakumar, A., K \

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:38.005101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609c7ccf-4366-4950-b93e-73020a2a4fba · outbound

This paper cites B., M \"u ller, S., Salinas, D., and Hutter, F.

Position: The Future of Bayesian Prediction Is Prior-Fitted B., M \"u ller, S., Salinas, D., and Hutter, F

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:38.088143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96deac3f-9127-4d46-9af7-7cd38307a5cf · outbound

This paper cites Perceiver: General perception with iterative attention.

Position: The Future of Bayesian Prediction Is Prior-Fitted Perceiver: General perception with iterative attention

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:38.165970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98169ee8-ef19-4bba-a070-49b55415a927 · outbound

This paper cites Billion-scale similarity search with gpus.

Position: The Future of Bayesian Prediction Is Prior-Fitted Billion-scale similarity search with gpus

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:38.243688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66304aef-a492-4ef4-802e-4a24f087c95f · outbound

This paper cites I., Ghahramani, Z., Jaakkola, T.

Position: The Future of Bayesian Prediction Is Prior-Fitted I., Ghahramani, Z., Jaakkola, T

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:52.413874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a986fd45-d100-44ba-9ad3-d045bd9d3f82 · outbound

This paper cites End-to-end symbolic regression with transformers.

Position: The Future of Bayesian Prediction Is Prior-Fitted End-to-end symbolic regression with transformers

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:51.490652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b0d7b70e-021d-4eff-a436-df63082da6bb · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Position: The Future of Bayesian Prediction Is Prior-Fitted Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:38.531997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb0110ac-9ae2-4d8d-94c4-b688633be52a · outbound

This paper cites When Ensembling Smaller Models is More Efficient than Single Large Models.

Position: The Future of Bayesian Prediction Is Prior-Fitted When Ensembling Smaller Models is More Efficient than Single Large Models

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:40:44.408942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 347c0f7c-cb84-4b26-b07e-9611edc93c51 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:51.310240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fcdd2eac-fe77-4089-9138-0e3010a9b8a8 · outbound

This paper cites J., Loftus, J., Russell, C., and Silva, R.

Position: The Future of Bayesian Prediction Is Prior-Fitted J., Loftus, J., Russell, C., and Silva, R

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:51.114131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 731d5ab3-78d2-4db8-a200-2f7d0a171625 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 52

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:50.957480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8bdc7fc9-c9d5-4c1c-ac81-069f0024df56 · outbound

This paper cites DeepSeek-V3 Technical Report.

Position: The Future of Bayesian Prediction Is Prior-Fitted DeepSeek-V3 Technical Report

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:38.919939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92c11eef-cebb-45c0-ba54-433e9ddc4bd2 · outbound

This paper cites Amortized inference for causal structure learning.

Position: The Future of Bayesian Prediction Is Prior-Fitted Amortized inference for causal structure learning

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:50.813153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8543f724-4bf5-445e-84cb-453d4363782b · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 55

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:50.648892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 303541e8-d3ec-4644-bae7-666ec77d22d4 · outbound

This paper cites J., Macke, J.

Position: The Future of Bayesian Prediction Is Prior-Fitted J., Macke, J

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:50.518012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf252dbf-70d3-4a07-9cd2-f5c39db0f43a · outbound

This paper cites When do neural nets outperform boosted trees on tabular data? In neurips23 , pp.\ 76336--76369.

Position: The Future of Bayesian Prediction Is Prior-Fitted When do neural nets outperform boosted trees on tabular data? In neurips23 , pp.\ 76336--76369

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:50.368565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8fcbad86-2492-46f4-a951-46f40c507b80 · outbound

This paper cites MotherNet: Fast Training and Inference via Hyper-Network Transformers.

Position: The Future of Bayesian Prediction Is Prior-Fitted MotherNet: Fast Training and Inference via Hyper-Network Transformers

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:39.656597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46085a19-6678-48e6-981a-03ffe04988c8 · outbound

This paper cites and Hutter, F.

Position: The Future of Bayesian Prediction Is Prior-Fitted and Hutter, F

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:50.191563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 22ec4810-8ac3-41c4-8d5a-7bc43901dcd7 · outbound

This paper cites Transformers can do B ayesian inference.

Position: The Future of Bayesian Prediction Is Prior-Fitted Transformers can do B ayesian inference

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:50.022438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ab8da30-7c5c-4f68-8059-54414999e3ed · outbound

This paper cites PFNs4BO: In-Context Learning for Bayesian Optimization.

Position: The Future of Bayesian Prediction Is Prior-Fitted PFNs4BO: In-Context Learning for Bayesian Optimization

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:49.816621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a1e91d16-9cc2-4e98-a3ad-5eb2ac375a48 · outbound

This paper cites Bayes' Power for Explaining In-Context Learning Generalizations.

Position: The Future of Bayesian Prediction Is Prior-Fitted Bayes' Power for Explaining In-Context Learning Generalizations

Reference 63

Resolution: verified exact; local_arxiv, observed 2026-08-07T12:40:44.169805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c0c8772-8c05-46c9-9ca2-ae9761d587f9 · outbound

This paper cites shapiq: Shapley interactions for machine learning.

Position: The Future of Bayesian Prediction Is Prior-Fitted shapiq: Shapley interactions for machine learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:49.633061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3fd1185e-2224-43df-aa37-9fca10a5734b · outbound

This paper cites Statistical foundations of prior-data fitted networks.

Position: The Future of Bayesian Prediction Is Prior-Fitted Statistical foundations of prior-data fitted networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:49.497752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5339b25b-6ea6-4ca6-a0ad-fa51b12c8eab · outbound

This paper cites Bayesian Learning for Neural Networks.

Position: The Future of Bayesian Prediction Is Prior-Fitted Bayesian Learning for Neural Networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:49.297170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91b60c4b-9b55-4933-a8dd-71813e1cce3b · outbound

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

Position: The Future of Bayesian Prediction Is Prior-Fitted Transformer Neural Processes: Uncertainty-Aware Meta Learning Via Sequence Modeling

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:40.729085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86357116-6aa4-4d5b-90fb-0170dd64e3d9 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:49.138113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 665250c7-70a4-4eba-8f1d-334244e512dd · outbound

This paper cites Neural Density Estimation and Likelihood-free Inference.

Position: The Future of Bayesian Prediction Is Prior-Fitted Neural Density Estimation and Likelihood-free Inference

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:40.887444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e5016a2-c5dd-40ba-a7d3-1f1bf061750c · outbound

This paper cites and Murray, I.

Position: The Future of Bayesian Prediction Is Prior-Fitted and Murray, I

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:48.925555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06a6a020-a5b3-4653-a649-fbdf5b5d11fb · outbound

This paper cites PyTorch : An imperative style, high-performance deep learning library.

Position: The Future of Bayesian Prediction Is Prior-Fitted PyTorch : An imperative style, high-performance deep learning library

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:48.672239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eda37538-3489-4413-a2eb-e253d7204b50 · outbound

This paper cites Adapting tabpfn for zero-inflated metagenomic data.

Position: The Future of Bayesian Prediction Is Prior-Fitted Adapting tabpfn for zero-inflated metagenomic data

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:48.374452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c9b1c3a7-a85c-4ff7-ba81-d6d58be8c7f8 · outbound

This paper cites The Devil in Linear Transformer.

Position: The Future of Bayesian Prediction Is Prior-Fitted The Devil in Linear Transformer

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:41.211858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 027b78a0-fd90-4531-876c-bc4d95b3c21b · outbound

This paper cites In-context freeze-thaw bayesian optimization for hyperparameter optimization.

Position: The Future of Bayesian Prediction Is Prior-Fitted In-context freeze-thaw bayesian optimization for hyperparameter optimization

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:48.100033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee4fd006-e947-4cc9-8a20-cadd3bf4a870 · outbound

This paper cites and Williams, C.

Position: The Future of Bayesian Prediction Is Prior-Fitted and Williams, C

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:47.788247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b3ccc74-780e-457b-b4aa-ff5eca341936 · outbound

This paper cites Pretraining task diversity and the emergence of non-bayesian in-context learning for regression.

Position: The Future of Bayesian Prediction Is Prior-Fitted Pretraining task diversity and the emergence of non-bayesian in-context learning for regression

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:47.514339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4dfefa7d-0780-49b9-801b-afe5b0ab96d3 · outbound

This paper cites Can Transformers Learn Full Bayesian Inference in Context?.

Position: The Future of Bayesian Prediction Is Prior-Fitted Can Transformers Learn Full Bayesian Inference in Context?

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:41.512106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 414e29f5-bf67-4853-8195-455f86a6f0c3 · outbound

This paper cites FairPFN: Transformers Can do Counterfactual Fairness.

Position: The Future of Bayesian Prediction Is Prior-Fitted FairPFN: Transformers Can do Counterfactual Fairness

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:41.599516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f7742c9-bd05-455d-bb96-799ff2927511 · outbound

This paper cites G., Chen, Z., Teh, Y.

Position: The Future of Bayesian Prediction Is Prior-Fitted G., Chen, Z., Teh, Y

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:47.257177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4f78a19e-b62b-4951-841b-f45a8f632c5d · outbound

This paper cites Interpretable machine learning for tabpfn.

Position: The Future of Bayesian Prediction Is Prior-Fitted Interpretable machine learning for tabpfn

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:47.012656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87795a20-ed5f-4a0a-8e8a-dedf5807a329 · outbound

This paper cites Meta-learning with memory-augmented neural networks.

Position: The Future of Bayesian Prediction Is Prior-Fitted Meta-learning with memory-augmented neural networks

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:46.824143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e66ec2bd-fd48-4c2c-9607-c8025361256a · outbound

This paper cites K., Wolfinger, M.

Position: The Future of Bayesian Prediction Is Prior-Fitted K., Wolfinger, M

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:46.622328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c5c710e-568c-4c28-a837-03ab5f2f4c7b · outbound

This paper cites Fast Transformer Decoding: One Write-Head is All You Need.

Position: The Future of Bayesian Prediction Is Prior-Fitted Fast Transformer Decoding: One Write-Head is All You Need

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:41.940016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ba9597-047a-4566-a1e8-5328613e74ef · outbound

This paper cites Zero-shot outlier detection via prior-data fitted networks: Model selection bygone! CoRR, abs/2409.05672, 2024.

Position: The Future of Bayesian Prediction Is Prior-Fitted Zero-shot outlier detection via prior-data fitted networks: Model selection bygone! CoRR, abs/2409.05672, 2024

Reference 84

Resolution: verified exact; doi, observed 2026-08-07T12:40:43.558508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 49281a62-d895-46ad-ac50-8a79d2d1c477 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:46.469995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0534fb42-8f80-4448-887b-d3752f2ba650 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:46.286878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91b0be81-0486-47cb-935c-1ce81f1a6505 · outbound

This paper cites T., Le, Q., He, H., and Luong, T.

Position: The Future of Bayesian Prediction Is Prior-Fitted T., Le, Q., He, H., and Luong, T

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:46.127917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a764a7b0-682d-49b4-a510-65624845cc89 · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:45.929529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d9b5a99-90da-4c93-9189-11625763fcf8 · outbound

This paper cites LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting.

Position: The Future of Bayesian Prediction Is Prior-Fitted LaT-PFN: A Joint Embedding Predictive Architecture for In-context Time-series Forecasting

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:42.419485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09403ef0-c2a3-4674-94c8-0f54164830fc · outbound

This paper cites an unresolved cited work.

Position: The Future of Bayesian Prediction Is Prior-Fitted Unresolved cited work

Reference 90

Resolution: unresolved; raw_fallback, observed 2026-08-07T12:40:45.768990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation aec61dee-c5cf-4dc3-925f-0717b46b8177 · outbound

This paper cites Z., Khabsa, M., Fang, H., and Ma, H.

Position: The Future of Bayesian Prediction Is Prior-Fitted Z., Khabsa, M., Fang, H., and Ma, H

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:45.582894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 28979072-909f-4619-ac00-f7100665b5d0 · outbound

This paper cites Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models.

Position: The Future of Bayesian Prediction Is Prior-Fitted Wisdom of Committees: An Overlooked Approach To Faster and More Accurate Models

Reference 92

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T12:40:43.910280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 474e66ad-cc89-4b59-85a6-426841d15f25 · outbound

This paper cites V., Zhou, D., et al.

Position: The Future of Bayesian Prediction Is Prior-Fitted V., Zhou, D., et al

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:42.744073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 661d866f-c94c-4f2a-96d9-af49b265e2ef · outbound

This paper cites and Teh, Y.

Position: The Future of Bayesian Prediction Is Prior-Fitted and Teh, Y

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:45.399378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ae7b935a-4ac9-4b77-9df4-5203e71b7f01 · outbound

This paper cites H., and Sch \"o lkopf, B.

Position: The Future of Bayesian Prediction Is Prior-Fitted H., and Sch \"o lkopf, B

Reference 95

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:45.187760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2f379da9-c094-4afa-8bd0-7d0b325e02da · outbound

This paper cites J., Pritzel, A., and Blundell, C.

Position: The Future of Bayesian Prediction Is Prior-Fitted J., Pritzel, A., and Blundell, C

Reference 96

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T12:40:44.985328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 723c7470-7d98-4e88-ae80-d700bf171856 · outbound

This paper cites Mixture of In-Context Prompters for Tabular PFNs.

Position: The Future of Bayesian Prediction Is Prior-Fitted Mixture of In-Context Prompters for Tabular PFNs

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:43.077633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a21fc6db-9784-4185-814f-4bcce9185e39 · outbound

This paper cites When can transformers count to n? arXiv preprint arXiv:2407.15160, 2024.

Position: The Future of Bayesian Prediction Is Prior-Fitted When can transformers count to n? arXiv preprint arXiv:2407.15160, 2024

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:43.176246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 78975e8f-0de7-420a-8fff-1d26254e1ab6 · inbound

In-Context Learning of Temporal Point Processes with Foundation Inference Models cites this paper.

In-Context Learning of Temporal Point Processes with Foundation Inference Models Position: The Future of Bayesian Prediction Is Prior-Fitted

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T13:54:17.391322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51f55753-54d2-4950-850b-5bd222cf7665 · inbound

SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference cites this paper.

SurvivalPFN: Amortizing Survival Prediction via In-Context Bayesian Inference Position: The Future of Bayesian Prediction Is Prior-Fitted

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-05-19T14:22:23.896906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d9ba97bd-cb0e-4f08-8cbd-522bf099bdb1 · inbound

In-Context Learning for Latent Space Bayesian Optimization cites this paper.

In-Context Learning for Latent Space Bayesian Optimization Position: The Future of Bayesian Prediction Is Prior-Fitted

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T00:37:30.252945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45dac71b-f527-4663-b261-ef1ed238fc6a · inbound

Reinforcement Learning Foundation Models Should Already Be A Thing cites this paper.

Reinforcement Learning Foundation Models Should Already Be A Thing Position: The Future of Bayesian Prediction Is Prior-Fitted

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:39:05.071662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 50c8f18c-5226-431f-8aef-2c7cf59705da · inbound

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings cites this paper.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Position: The Future of Bayesian Prediction Is Prior-Fitted

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-14T07:42:06.462698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f04f36d4-2254-418e-b489-c6103af0b766 · inbound

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings cites this paper.

TabPFN beyond Tabular Data: Calibration and Accuracy on Multimodal Embeddings Position: The Future of Bayesian Prediction Is Prior-Fitted

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T07:07:55.303544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.