Paper Citation Record · LEDGER

Learning Universal Predictors

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.14953.

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

pith.paper-citation-record.v1
2401.14953 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:16:53.975628Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:01:24.790388Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 81c8af4e-bd3d-4810-85cf-e5d9d5c1edc5 · inbound

Large Language Models as Computable Approximations to Solomonoff Induction cites this paper.

Large Language Models as Computable Approximations to Solomonoff Induction Learning Universal Predictors

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:53.975628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86706279-418f-4f33-829f-e5aa1726c826 · inbound

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning cites this paper.

Transformers Pretrained on Procedural Data Contain Modular Structures for Algorithmic Reasoning Learning Universal Predictors

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T13:14:25.350545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b98ce003-2956-457d-a2d4-3bb0cfe13fbf · inbound

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective cites this paper.

Next-Token Prediction Should be Ambiguity-Sensitive: A Meta-Learning Perspective Learning Universal Predictors

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:48:39.492242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11141277-a8a9-48be-b338-b1b224767ca5 · inbound

Procedural Pretraining: Warming Up Language Models with Abstract Data cites this paper.

Procedural Pretraining: Warming Up Language Models with Abstract Data Learning Universal Predictors

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T06:55:10.064992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 875c997c-67a6-492e-8775-c158ff5fd22f · inbound

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior cites this paper.

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior Learning Universal Predictors

Reference 247

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:16:06.861969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0376b95-1805-41f7-a11a-b7bd164f5e57 · inbound

Neural Weight Norm = Kolmogorov Complexity cites this paper.

Neural Weight Norm = Kolmogorov Complexity Learning Universal Predictors

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:24.794585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c63a9051-95d0-4240-a218-ad26f42ee7b0 · inbound

Hierarchical Solomonoff Induction: An Unbounded Machine Learning Model cites this paper.

Hierarchical Solomonoff Induction: An Unbounded Machine Learning Model Learning Universal Predictors

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:53:43.006141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.