Paper Citation Record · LEDGER

Latent Flow Transformer

As of 19 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.14513.

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

pith.paper-citation-record.v1
2505.14513 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:08.287079Z

measured 40 of 40 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

40 of 40 outbound references displayed

verified exact1
verified fuzzy15
unresolved21
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 29f9fc06-50c8-4218-9c6e-088e8cf98219 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Latent Flow Transformer Building Normalizing Flows with Stochastic Interpolants

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:04.744063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb1396e-e21b-40f7-a44d-1e5910f36a2a · outbound

This paper cites Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018.

Latent Flow Transformer Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:04.838254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a81e18d-4730-4fc7-afc6-25d8fc90336d · outbound

This paper cites Contiformer: Continuous-time transformer for irregular time series modeling.Advances in Neural Information Processing Systems, 36:47143–47175, 2023.

Latent Flow Transformer Contiformer: Continuous-time transformer for irregular time series modeling.Advances in Neural Information Processing Systems, 36:47143–47175, 2023

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:04.929738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8398c942-6257-498f-b8fd-51d7c8346a4c · outbound

This paper cites Image generation with shortest path diffusion, 2023.

Latent Flow Transformer Image generation with shortest path diffusion, 2023

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:12.813836Z

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 9ae75e30-f9c2-4af6-acda-90a19863c76b · outbound

This paper cites Flowing through layers: A continuous dynamical systems perspective on transformers, 2025.

Latent Flow Transformer Flowing through layers: A continuous dynamical systems perspective on transformers, 2025

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:12.665818Z

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 ba8039ad-906c-47eb-bcef-b3a6a29cadc0 · outbound

This paper cites One Step Diffusion via Shortcut Models.

Latent Flow Transformer One Step Diffusion via Shortcut Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:05.234248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ca0ce97-9a43-4cc3-a917-658d09b180a5 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Latent Flow Transformer Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:05.308833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca1db6e2-a0dd-4823-862c-f75045992e69 · outbound

This paper cites Compressing bert: Studying the effects of weight pruning on transfer learning.

Latent Flow Transformer Compressing bert: Studying the effects of weight pruning on transfer learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:12.398340Z

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 9f634ecf-ee85-48db-82a5-6785cf4ba4c8 · outbound

This paper cites an unresolved cited work.

Latent Flow Transformer Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:05.488553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef6883ec-e831-4e1d-a6f8-800d51b51c4c · outbound

This paper cites Calmflow: V olterra flow matching using causal language models, 2024.

Latent Flow Transformer Calmflow: V olterra flow matching using causal language models, 2024

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:12.111392Z

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 8e243714-6c18-468c-be0c-bbf9d4f1e432 · outbound

This paper cites Flow matching for conditional text generation in a few sampling steps.

Latent Flow Transformer Flow matching for conditional text generation in a few sampling steps

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:11.698654Z

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 4a69c331-c88c-4edb-bb77-1f8f44237d80 · outbound

This paper cites Editing models with task arithmetic.

Latent Flow Transformer Editing models with task arithmetic

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:11.332681Z

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 b6be37b5-3e92-49fa-a5e9-af5eb0d74a78 · outbound

This paper cites Tinybert: Distilling bert for natural language understanding.

Latent Flow Transformer Tinybert: Distilling bert for natural language understanding

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:11.150714Z

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 10c434e8-8223-4ef8-ba38-21618d1f1d93 · outbound

This paper cites On Neural Differential Equations.

Latent Flow Transformer On Neural Differential Equations

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:05.879835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db79b3e1-1de4-4d1b-8839-711344341c75 · outbound

This paper cites SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

Latent Flow Transformer SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-08-07T15:42:05.936200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58f5ddc-a280-46eb-9627-3ffe6447f721 · outbound

This paper cites Simulation-Free Training of Neural ODEs on Paired Data.

Latent Flow Transformer Simulation-Free Training of Neural ODEs on Paired Data

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:42:09.016857Z

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 9a7bf753-1d38-4a4a-a897-6b5b928dba54 · outbound

This paper cites Simulation-free training of neural odes on paired data.Advances in Neural Information Processing Systems, 37:60212–60236, 2024.

Latent Flow Transformer Simulation-free training of neural odes on paired data.Advances in Neural Information Processing Systems, 37:60212–60236, 2024

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:10.969995Z

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 62134852-3dc5-487f-a893-e431302f7695 · outbound

This paper cites ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Latent Flow Transformer ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:06.144909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f67c23-0f0a-4e82-8f34-5f1524bfb7ca · outbound

This paper cites ODE transformer: An ordinary differential equation-inspired model for sequence generation.

Latent Flow Transformer ODE transformer: An ordinary differential equation-inspired model for sequence generation

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:10.797127Z

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 c3fa0111-1d77-4436-875d-47aa54545b6d · outbound

This paper cites Common Diffusion Noise Schedules and Sample Steps are Flawed.

Latent Flow Transformer Common Diffusion Noise Schedules and Sample Steps are Flawed

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:06.330010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08dce9dc-4532-44ad-ba65-a46bad6cccbc · outbound

This paper cites an unresolved cited work.

Latent Flow Transformer Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:42:10.632986Z

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 b3d10c7a-d506-4243-bf30-e23a413661ef · outbound

This paper cites Text generation with diffusion language models: A pre-training approach with continuous paragraph denoise.

Latent Flow Transformer Text generation with diffusion language models: A pre-training approach with continuous paragraph denoise

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:06.469304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95d662c6-bd6a-42dc-98ff-4344932639c2 · outbound

This paper cites an unresolved cited work.

Latent Flow Transformer Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:06.553638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b1962a6-0c1c-4da5-a83a-5a69a7e60dd7 · outbound

This paper cites Flow matching for generative modeling.

Latent Flow Transformer Flow matching for generative modeling

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:10.396275Z

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 cce4b321-0dee-4224-b5c0-f8ddd8c1804b · outbound

This paper cites Diffusion Posterior Sampling for General Noisy Inverse Problems.

Latent Flow Transformer Diffusion Posterior Sampling for General Noisy Inverse Problems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:06.734199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d230d89-0053-4eaa-bb79-f3a7f865cef3 · outbound

This paper cites Reassessing Layer Pruning in LLMs: New Insights and Methods.

Latent Flow Transformer Reassessing Layer Pruning in LLMs: New Insights and Methods

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:06.926464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16041421-cc99-44e4-883e-5e55a1e22246 · outbound

This paper cites Causality for Inherently Explainable Transformers: CAT-XPLAIN.

Latent Flow Transformer Causality for Inherently Explainable Transformers: CAT-XPLAIN

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:42:08.840867Z

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 fd65abe9-21e5-43fe-a2dd-4b00f5a7445e · outbound

This paper cites Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22(57):1–64, 2021.

Latent Flow Transformer Normalizing flows for probabilistic modeling and inference.Journal of Machine Learning Research, 22(57):1–64, 2021

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:07.089810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7025f3b-fadc-4c21-a77b-8a1893e81ef8 · outbound

This paper cites an unresolved cited work.

Latent Flow Transformer Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:42:10.272517Z

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 54037fc0-4f24-436f-9105-78c42f5dccc3 · outbound

This paper cites Scalable diffusion models with transformers, 2023.

Latent Flow Transformer Scalable diffusion models with transformers, 2023

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:07.250284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdee4990-e641-41b0-b9d3-96428482dc38 · outbound

This paper cites Computational optimal transport: With applications to data science.F oundations and Trends® in Machine Learning, 11(5-6):355–607, 2019.

Latent Flow Transformer Computational optimal transport: With applications to data science.F oundations and Trends® in Machine Learning, 11(5-6):355–607, 2019

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:09.989898Z

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 3a5fd608-f411-4d40-ab06-ff8fe98e5f0c · outbound

This paper cites On the effect of dropping layers of pre-trained transformer models.Computer Speech & Language, 77:101429, January 2023.

Latent Flow Transformer On the effect of dropping layers of pre-trained transformer models.Computer Speech & Language, 77:101429, January 2023

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:09.748595Z

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 a500fef1-1318-4cd9-acca-fb53960b9c0f · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

Latent Flow Transformer DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:07.539699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c715d5-b616-4389-8736-9c8dc96797f3 · outbound

This paper cites Consistency models, 2023.

Latent Flow Transformer Consistency models, 2023

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:07.606463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5898b8e9-0c4c-44bb-bf8b-b40b59b5db62 · outbound

This paper cites Patient knowledge distillation for bert model compression, 2019.

Latent Flow Transformer Patient knowledge distillation for bert model compression, 2019

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:09.492700Z

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 8218468e-2b8b-4eba-9fc2-409719781939 · outbound

This paper cites Attention is all you need.

Latent Flow Transformer Attention is all you need

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:07.770954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78333acf-1dde-4afa-a472-d21057a52eaa · outbound

This paper cites Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation.

Latent Flow Transformer Latent Space Chain-of-Embedding Enables Output-free LLM Self-Evaluation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:07.858803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aebb5e47-b2db-402d-9155-4a52a3707910 · outbound

This paper cites Ar-diffusion: auto-regressive diffusion model for text generation.

Latent Flow Transformer Ar-diffusion: auto-regressive diffusion model for text generation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:09.349024Z

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 945ede6c-e8a7-4960-be3a-433816919820 · outbound

This paper cites A survey on knowledge distillation of large language models, 2024.

Latent Flow Transformer A survey on knowledge distillation of large language models, 2024

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:42:09.210194Z

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 0bf099e8-ba4f-4410-b7ed-c3cbb50a66a5 · outbound

This paper cites Approximation to Object Conditional Validity with Inductive Conformal Predictors.

Latent Flow Transformer Approximation to Object Conditional Validity with Inductive Conformal Predictors

Reference 41

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T15:42:08.579727Z

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.

Pith citing papers

No inbound Pith citation observations are available.