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Paper Citation Record · LEDGER

Latent Thought Models with Variational Bayes Inference-Time Computation

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 4 inbound Pith citation observations for arXiv:2502.01567.

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

pith.paper-citation-record.v1
2502.01567 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:01:05.271053Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:05.859450Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T14:22:23.848578Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact1
  • verified fuzzy8
  • unresolved25
  • parse uncertain0
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Outbound references

Observation 47918210-9e67-4599-82f7-0ddb9f5152fa · outbound

This paper cites In few-shot scenarios, we concatenate examples as prompts and generate responses accordingly.

Latent Thought Models with Variational Bayes Inference-Time Computation In few-shot scenarios, we concatenate examples as prompts and generate responses accordingly

Reference 5

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f3b9d8f1-0675-4647-9a46-6a42c54d6c14 · outbound

This paper cites fun” character that’s been given yet another new set of episodes. “I’m just a masterful man,.

Latent Thought Models with Variational Bayes Inference-Time Computation fun” character that’s been given yet another new set of episodes. “I’m just a masterful man,

Reference 8

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raw_fallback, observed 2026-08-09T15:01:05.841364Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 2131f2ea-f922-4644-8027-e9af76d3903d · outbound

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

Latent Thought Models with Variational Bayes Inference-Time Computation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

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Observation a166d50b-2105-4ccf-b3e8-1020969f7731 · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Latent Thought Models with Variational Bayes Inference-Time Computation Training Large Language Models to Reason in a Continuous Latent Space

Reference 11

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Observation f606d417-b5cf-4959-9989-95ebe7855bff · outbound

This paper cites Training Compute-Optimal Large Language Models.

Latent Thought Models with Variational Bayes Inference-Time Computation Training Compute-Optimal Large Language Models

Reference 12

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Observation a76d1cfb-9435-4986-9376-a79120a6715b · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Latent Thought Models with Variational Bayes Inference-Time Computation The Curious Case of Neural Text Degeneration

Reference 13

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Observation d224d447-6fda-448c-9547-b0828a2722bc · outbound

This paper cites Liger Kernel: Efficient Triton Kernels for LLM Training.

Latent Thought Models with Variational Bayes Inference-Time Computation Liger Kernel: Efficient Triton Kernels for LLM Training

Reference 14

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source=pdf_text observed=2026-08-09T15:01:05.182144Z digest=sha256:a83f18eb879749bea06d5dc41f52de43b002d83dbad36d889a7b7ef2a365b939

Observation f5356ca2-44fa-413e-acdd-0bebac170d18 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Latent Thought Models with Variational Bayes Inference-Time Computation Adam: A Method for Stochastic Optimization

Reference 16

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Observation 7b13c84c-e0aa-449b-8573-99527c256095 · outbound

This paper cites Composing Ensembles of Pre-trained Models via Iterative Consensus.

Latent Thought Models with Variational Bayes Inference-Time Computation Composing Ensembles of Pre-trained Models via Iterative Consensus

Reference 19

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source=pdf_text observed=2026-08-09T15:01:05.202223Z digest=sha256:1f31df8c44cc16b3e0308c85a131046db40ed9c6f6397b26a910cbc08073d615

Observation bf1983ca-20a9-41b7-97fc-f743e1bf083a · outbound

This paper cites Decoupled Weight Decay Regularization.

Latent Thought Models with Variational Bayes Inference-Time Computation Decoupled Weight Decay Regularization

Reference 20

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source=pdf_text observed=2026-08-09T15:01:05.206152Z digest=sha256:6815218baf48af3156cb8029f62a4d8b6740718abca8ae8303cebdfe011e8f3b

Observation b763a548-4fe1-4e87-9bef-5fcf155f397c · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Latent Thought Models with Variational Bayes Inference-Time Computation The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 22

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Observation b9f09519-df2b-49eb-b759-fe0dc96910dc · outbound

This paper cites Simple and Effective Masked Diffusion Language Models.

Latent Thought Models with Variational Bayes Inference-Time Computation Simple and Effective Masked Diffusion Language Models

Reference 23

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Observation bc3ecd11-5c56-4595-8170-ce2a11bbe5f1 · outbound

This paper cites Large Concept Models: Language Modeling in a Sentence Representation Space.

Latent Thought Models with Variational Bayes Inference-Time Computation Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 25

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Observation 4bc0e6b7-763e-405c-bb20-618690b081e1 · outbound

This paper cites Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference.

Latent Thought Models with Variational Bayes Inference-Time Computation Diverse and Faithful Knowledge-Grounded Dialogue Generation via Sequential Posterior Inference

Reference 28

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4a02d970-02cd-4efa-a578-c9696ea5a715 · outbound

This paper cites Latent Diffusion Energy-Based Model for Interpretable Text Modeling.

Latent Thought Models with Variational Bayes Inference-Time Computation Latent Diffusion Energy-Based Model for Interpretable Text Modeling

Reference 29

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Observation 413b2549-8f82-4d19-a993-0faba2be9ff5 · outbound

This paper cites Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling.

Latent Thought Models with Variational Bayes Inference-Time Computation Masked Diffusion Models are Secretly Time-Agnostic Masked Models and Exploit Inaccurate Categorical Sampling

Reference 30

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Observation 28c93f00-72ea-4034-8651-ad35208d72cd · outbound

This paper cites We use Adam to update the latent thought vectors without introducing additional inductive bias in the optimization.

Latent Thought Models with Variational Bayes Inference-Time Computation We use Adam to update the latent thought vectors without introducing additional inductive bias in the optimization

Reference 32

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 06185b02-ac01-47be-bc8d-c026240b8f4d · outbound

This paper cites less-attractive.

Latent Thought Models with Variational Bayes Inference-Time Computation less-attractive

Reference 35

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bfa18bc6-8eb3-43a2-b16e-addaa6761b32 · outbound

This paper cites We use the GPT-2 tokenizer for OpenWebText, adding a single[EOS] token.

Latent Thought Models with Variational Bayes Inference-Time Computation We use the GPT-2 tokenizer for OpenWebText, adding a single[EOS] token

Reference 256

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 97714a98-e2ed-4c5d-93a7-c1b946988718 · outbound

This paper cites Beam Search Strategies for Neural Machine Translation.

Latent Thought Models with Variational Bayes Inference-Time Computation Beam Search Strategies for Neural Machine Translation

Reference 1975

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source=pdf_text observed=2026-08-09T15:01:05.150115Z digest=sha256:aeddbf04e4582123876bc4a2af4aad48571c81c17079e5b2af34f91b66aabdcb

Observation 651c72da-0c68-406c-8418-9d71c39ce34a · outbound

This paper cites Pointer Sentinel Mixture Models.

Latent Thought Models with Variational Bayes Inference-Time Computation Pointer Sentinel Mixture Models

Reference 1995

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source=pdf_text observed=2026-08-09T15:01:05.210379Z digest=sha256:144d04dcf96ffb666530f5755d542b9e0176a8cb73cfec9c17b9970a66f89efa

Observation f6e34359-9983-46a1-8ec6-0c839a17effa · outbound

This paper cites Scaling Laws for Neural Language Models.

Latent Thought Models with Variational Bayes Inference-Time Computation Scaling Laws for Neural Language Models

Reference 1999

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Observation ac13b224-6796-47ec-8b00-7e628bb32c61 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Latent Thought Models with Variational Bayes Inference-Time Computation PaLM: Scaling Language Modeling with Pathways

Reference 2013

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Observation ec2b4b00-78aa-42f9-b752-1dd13239ac47 · outbound

This paper cites Auto-Encoding Variational Bayes.

Latent Thought Models with Variational Bayes Inference-Time Computation Auto-Encoding Variational Bayes

Reference 2014

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source=pdf_text observed=2026-08-09T15:01:05.194331Z digest=sha256:1e4be76759066ffe8a4b5601b8bebd966f7c16c3dbb371cced2e89e2bff802ea

Observation 8edcab5b-0283-4454-b449-265e5cd9432c · outbound

This paper cites Optimus: Organizing sentences via pre-trained modeling of a latent space.

Latent Thought Models with Variational Bayes Inference-Time Computation Optimus: Organizing sentences via pre-trained modeling of a latent space

Reference 2015

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 047850c2-b628-4520-9f00-33e4e334b73b · outbound

This paper cites B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., et al.

Latent Thought Models with Variational Bayes Inference-Time Computation B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., et al

Reference 2016

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bce9f314-294a-47ea-807c-68344e126e0e · outbound

This paper cites and Durrett, G.

Latent Thought Models with Variational Bayes Inference-Time Computation and Durrett, G

Reference 2017

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-09T15:01:05.230956Z digest=sha256:a253f41a0155b99a47ae173c78fc219675169279732a0b92b3fc72290c506941

Observation 490708b0-aed4-4a40-8c6b-8bd953fe8e88 · outbound

This paper cites Adaptive Computation Time for Recurrent Neural Networks.

Latent Thought Models with Variational Bayes Inference-Time Computation Adaptive Computation Time for Recurrent Neural Networks

Reference 2019

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source=pdf_text observed=2026-08-09T15:01:05.155615Z digest=sha256:df6b4d7b02792f5c9c6d943474e92f27ba5a9446eaf4af50cad9634a4731c91a

Observation df42c437-1a43-4ceb-8d7a-1585c04de4e1 · outbound

This paper cites One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling.

Latent Thought Models with Variational Bayes Inference-Time Computation One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 2020

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source=pdf_text observed=2026-08-09T15:01:05.124950Z digest=sha256:4f1eaab104092f1278fb6543edf6739dd9ada64b4927ac8e4be1d114bc2a7d28

Observation 8694939a-1715-4d15-aabc-2c4ec6bb743e · outbound

This paper cites A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents.

Latent Thought Models with Variational Bayes Inference-Time Computation A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

Reference 2021

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Observation 00a88401-217a-4df4-a926-4e2e282d311f · outbound

This paper cites Continuous diffusion for categorical data.

Latent Thought Models with Variational Bayes Inference-Time Computation Continuous diffusion for categorical data

Reference 2022

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source=pdf_text observed=2026-08-09T15:01:05.145015Z digest=sha256:9eb82abc57c8b97680c5bd214f420aea9c46b06335ac110338935dc8b678fa40

Observation 5be09a95-5478-44ed-8bba-9d3003e7aa58 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Latent Thought Models with Variational Bayes Inference-Time Computation Training Verifiers to Solve Math Word Problems

Reference 2023

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source=pdf_text observed=2026-08-09T15:01:05.134171Z digest=sha256:fb2298094ca6fddfbce5548e26e093ca0081c57ec8ced19a41c7aa1075c77376

Observation a644cd8d-c264-4d12-87fc-627414c29743 · outbound

This paper cites Simplified and Generalized Masked Diffusion for Discrete Data.

Latent Thought Models with Variational Bayes Inference-Time Computation Simplified and Generalized Masked Diffusion for Discrete Data

Reference 2024

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Observation be0ad11e-0f72-4992-bf5b-e2174b2efc04 · outbound

This paper cites SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control.

Latent Thought Models with Variational Bayes Inference-Time Computation SSD-LM: Semi-autoregressive Simplex-based Diffusion Language Model for Text Generation and Modular Control

Reference 2025

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Pith citing papers

Observation e25ad007-d75b-489f-98a5-7d324ccc3324 · inbound

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling cites this paper.

Variational Autoencoding Discrete Diffusion with Enhanced Dimensional Correlations Modeling Latent Thought Models with Variational Bayes Inference-Time Computation

Reference 7

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arxiv_id, observed 2026-05-19T14:22:23.851235Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T14:20:49.548475Z digest=sha256:aea2674a5cb32f50efec75e7fd1a85d8acaf01810eff47e528870c5ff0b6b4f2

Observation 9e42fc98-d58f-4f0d-bbf6-de0b0f04539d · inbound

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects cites this paper.

Chain-of-Thought for Autonomous Driving: A Comprehensive Survey and Future Prospects Latent Thought Models with Variational Bayes Inference-Time Computation

Reference 160

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Observation d49249a7-0d70-47bd-9856-88bbec989c46 · inbound

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning cites this paper.

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning Latent Thought Models with Variational Bayes Inference-Time Computation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:42:40.135106Z

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source=arxiv_source observed=2026-08-07T10:42:40.135106Z digest=sha256:80d06b9b83954019f3791b0780598869998e5fbd8f2c87854a9c53971df21401

Observation 49ce26f3-6e9e-4d3d-bdc6-4868b89b38d6 · inbound

Implicit Reasoning in Large Language Models: A Comprehensive Survey cites this paper.

Implicit Reasoning in Large Language Models: A Comprehensive Survey Latent Thought Models with Variational Bayes Inference-Time Computation

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T11:39:36.620227Z

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