Paper Citation Record · LEDGER

Sentence Curve Language Models

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2602.01807.

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

pith.paper-citation-record.v1
2602.01807 v3

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:40:37.883484Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

32 of 32 outbound references displayed

verified exact0
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8214fd7d-cbad-4ef5-b321-25fb8c840b63 · outbound

This paper cites GPT-4 Technical Report.

Sentence Curve Language Models GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:35.675422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2f3c93-d0e0-44ab-ac7c-bdc22f37a6f9 · outbound

This paper cites an unresolved cited work.

Sentence Curve Language Models Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.883484Z

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Observation fbb00792-47c9-4bdf-b6fe-5ff89395acea · outbound

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

Sentence Curve Language Models One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:35.923719Z

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Observation ce45871b-0dc8-4944-8fba-8ea58955df84 · outbound

This paper cites Empowering diffusion models on the embedding space for text generation.

Sentence Curve Language Models Empowering diffusion models on the embedding space for text generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.299268Z

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Observation 5122e548-69d6-40f0-9968-5a937c79a09e · outbound

This paper cites Non-Autoregressive Neural Machine Translation.

Sentence Curve Language Models Non-Autoregressive Neural Machine Translation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.544273Z

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Unavailable: canonical work link unavailable.

Observation 2f88a959-929d-45fc-a393-9960f5a4d472 · outbound

This paper cites N-gram Prediction and Word Difference Representations for Language Modeling.

Sentence Curve Language Models N-gram Prediction and Word Difference Representations for Language Modeling

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.715820Z

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Observation 9db113df-c1c5-49e7-b533-666694f3843d · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Sentence Curve Language Models Categorical Reparameterization with Gumbel-Softmax

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.899208Z

Source-reported events for the cited work

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Observation af717510-ccbe-447a-8b39-d28dcc3cfb41 · outbound

This paper cites and Rush, A.

Sentence Curve Language Models and Rush, A

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.943528Z

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Unavailable: canonical work link unavailable.

Observation b47102b2-ebb6-42c2-a5a8-b70ab49f11c3 · outbound

This paper cites Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement.

Sentence Curve Language Models Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.069510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6980421-355b-4607-8b52-ab5b1d0d945e · outbound

This paper cites Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes.

Sentence Curve Language Models Unifying Continuous and Discrete Text Diffusion with Non-simultaneous Diffusion Processes

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.143840Z

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Unavailable: canonical work link unavailable.

Observation 50693c75-dca1-48f7-8229-f50ab71ed1dd · outbound

This paper cites Normalization of Input-output Shared Embeddings in Text Generation Models.

Sentence Curve Language Models Normalization of Input-output Shared Embeddings in Text Generation Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.204751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9c70c0-a342-451f-a720-91a730ae6334 · outbound

This paper cites Pointer Sentinel Mixture Models.

Sentence Curve Language Models Pointer Sentinel Mixture Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.274281Z

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Unavailable: canonical work link unavailable.

Observation 2d7eef0e-fcaf-405d-8afc-d4705c28a90c · outbound

This paper cites Large Language Diffusion Models.

Sentence Curve Language Models Large Language Diffusion Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.330186Z

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Observation ec466d37-e8d4-43a5-8be9-d3197d9a934a · outbound

This paper cites fairseq: A Fast, Extensible Toolkit for Sequence Modeling.

Sentence Curve Language Models fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.388918Z

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Observation 7c6d38ad-9736-4fd7-bcc8-bb30302e7383 · outbound

This paper cites Improving word embedding compositionality using lexicographic definitions.

Sentence Curve Language Models Improving word embedding compositionality using lexicographic definitions

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.477306Z

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Observation 60c68a78-f03a-4f25-ad51-75771cb1a47c · outbound

This paper cites A Reparameterized Discrete Diffusion Model for Text Generation.

Sentence Curve Language Models A Reparameterized Discrete Diffusion Model for Text Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.584436Z

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Observation 162ef3e5-ae32-41d3-aa14-1f109d047100 · outbound

This paper cites Mathematic Backgrounds A.1.

Sentence Curve Language Models Mathematic Backgrounds A.1

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.655889Z

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Observation 06cbd376-8b76-4e6e-a59a-e8e23d68ae25 · outbound

This paper cites This assumption states that, conditioned on a target word y, the remaining word embeddings are isotropically distributed when projected onto the tangent space of ey.

Sentence Curve Language Models This assumption states that, conditioned on a target word y, the remaining word embeddings are isotropically distributed when projected onto the tangent space of ey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.719407Z

Source-reported events for the cited work

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Observation ccacfdc9-b4d1-4151-8014-e96ace322d15 · outbound

This paper cites 7, and validate whether the condition holds or not.

Sentence Curve Language Models 7, and validate whether the condition holds or not

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.782415Z

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Observation 72d0874d-5b2b-4bdd-a0da-6888343411f9 · outbound

This paper cites Importantly, SCLMs introduce almost no additional parameters beyond the baseline models.

Sentence Curve Language Models Importantly, SCLMs introduce almost no additional parameters beyond the baseline models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.848585Z

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Unavailable: canonical work link unavailable.

Observation 205894d4-6065-4940-a2eb-7271a6d596a6 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for lan- guage understanding.

Sentence Curve Language Models Bert: Pre-training of deep bidirectional transformers for lan- guage understanding

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.027090Z

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Unavailable: canonical work link unavailable.

Observation 70d5d1ed-e416-4c55-984d-4307e7d589cf · outbound

This paper cites Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads.

Sentence Curve Language Models Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:35.850429Z

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Unavailable: canonical work link unavailable.

Observation bccf7f03-e6fa-4913-9e7f-56a388c41458 · outbound

This paper cites Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning.

Sentence Curve Language Models Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:37.522710Z

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Observation e8929d99-8786-4670-91e8-84b198b80415 · outbound

This paper cites Encoder-decoder diffusion language mod- els for efficient training and inference.arXiv preprint arXiv:2510.22852,.

Sentence Curve Language Models Encoder-decoder diffusion language mod- els for efficient training and inference.arXiv preprint arXiv:2510.22852,

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:35.714696Z

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Observation a211423f-9c33-40b5-95c3-0f5dcb98079d · outbound

This paper cites Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation.

Sentence Curve Language Models Shared Latent Space by Both Languages in Non-Autoregressive Neural Machine Translation

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.626541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e162cefe-3f18-4886-8391-e3e1ecf1220f · outbound

This paper cites Understanding Composition of Word Embeddings via Tensor Decomposition.

Sentence Curve Language Models Understanding Composition of Word Embeddings via Tensor Decomposition

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.229851Z

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Observation b9786ab7-2a4e-4ef5-90d1-966e4be1dbe9 · outbound

This paper cites Continuous diffusion for categorical data.

Sentence Curve Language Models Continuous diffusion for categorical data

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.076757Z

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Observation 6fc2fd45-3594-4ea4-a46c-66aa660b5735 · outbound

This paper cites From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers.

Sentence Curve Language Models From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.788842Z

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Observation 6340eabb-75c2-4da2-adc6-4e790fd1058a · outbound

This paper cites Theoretical Benefit and Limitation of Diffusion Language Model.

Sentence Curve Language Models Theoretical Benefit and Limitation of Diffusion Language Model

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.147398Z

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Observation dd81926a-a4e8-42b9-bbe0-18af4101d9eb · outbound

This paper cites Better & Faster Large Language Models via Multi-token Prediction.

Sentence Curve Language Models Better & Faster Large Language Models via Multi-token Prediction

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.443731Z

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Observation 8ad7fbec-3ada-4d9e-b0bf-f01d9478b561 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Sentence Curve Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:36.380041Z

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Observation 727443be-aedc-454f-93cb-293cbd008cbd · outbound

This paper cites Findings of the 2014 workshop on statistical machine translation.

Sentence Curve Language Models Findings of the 2014 workshop on statistical machine translation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T05:40:35.790839Z

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Pith citing papers

No inbound Pith citation observations are available.