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Paper Citation Record · LEDGER

Learning Universal Predictors

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:35:57.467168Z

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 f4a2e7a2-e24e-497b-a828-b3c6f1e0f4a5 · inbound

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need cites this paper.

Large Language Models for Lossless Image Compression: Next-Pixel Prediction in Language Space is All You Need Learning Universal Predictors

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T17:35:57.467168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:35:57.467168Z digest=sha256:b73b61f80581b9b935e6bcdd34e5701d59207301e59723767e9fd48090eee8b1

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.

source=arxiv_source observed=2026-08-07T15:16:53.975628Z digest=sha256:03b1afb7b5b582cc7a250ca36df3cf47fff50933ca2589b91eced001da130a29

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.

source=pdf_text observed=2026-08-07T13:14:25.350545Z digest=sha256:a6f23d1b030f2088d4b05fd95d316c3d721d9e2f24d4644a263d18e81454d15e

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.

source=pdf_text observed=2026-08-06T23:48:39.492242Z digest=sha256:7b33a1bdf6b6c903611fae8041c1f11dd64de94dc23b47238ef33deb146bc15d

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.

source=pdf_text observed=2026-08-03T06:55:10.064992Z digest=sha256:5155e21b113e24840bf9b8ef7719368b687cbc2ff915c5a95e48247496921ec7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T17:47:09.591001Z digest=sha256:f9178b812d9e80920d267ce296670622d57825e98cd58c52c9c86acdd7fcadeb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T04:41:27.219489Z digest=sha256:f0d67b746187f65669bbb71302dd3e5e6e8efd51c5dca878747e8f88c9bb5209

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.

source=arxiv_source observed=2026-08-06T00:53:43.006141Z digest=sha256:f9b1ef70e082ab6fb8094b30acb85d1bda91eb32835e0c38c493d45f63c7f774