Paper Citation Record · LEDGER

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective

As of 22 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.24507.

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

pith.paper-citation-record.v1
2607.24507 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T12:59:59.660062Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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
unresolved31
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 20dec4cc-077b-4faf-a809-9af71771a494 · outbound

This paper cites Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Johnson, Jonathan Ho, Daniel Tarlow, and Rianne van den Berg

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:56.825300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf01ca5e-1551-4432-be6e-ffa3575b40e4 · outbound

This paper cites PIQA: Reasoning about physical commonsense in natural language.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective PIQA: Reasoning about physical commonsense in natural language

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:56.908605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16cc943a-a353-4ba7-90cc-cdc0f71c824c · outbound

This paper cites A continuous time framework for discrete denoising models.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective A continuous time framework for discrete denoising models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:56.969223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a725c2a-de36-4557-ae39-be344bee1a76 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.028496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12ecbfe5-956c-4c7a-9779-0bd571f53de4 · outbound

This paper cites Discrete flow matching.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Discrete flow matching

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.156767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71cf3df6-2750-4c2f-b652-a4f7143e81c1 · outbound

This paper cites Masked diffusion models are secretly learned-order autoregressive models.arXiv preprint arXiv:2511.19152, 2025.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Masked diffusion models are secretly learned-order autoregressive models.arXiv preprint arXiv:2511.19152, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.243727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f3d2279-350e-4d5f-aea4-800dc97d41eb · outbound

This paper cites Scaling diffusion language models via adaptation from autoregressive models.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Scaling diffusion language models via adaptation from autoregressive models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.304927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f578e697-884b-48f0-901a-3602f42aaf67 · outbound

This paper cites Hashimoto.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Hashimoto

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.398402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b424685-db0e-4d48-95be-fd87ff40e6f0 · outbound

This paper cites Denoising diffusion probabilistic models.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Denoising diffusion probabilistic models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.556210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e21bf4ba-d235-49cd-a5d3-30d4c242c0a9 · outbound

This paper cites Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, and Tim Salimans.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Gritsenko, Jasmijn Bastings, Ben Poole, Rianne van den Berg, and Tim Salimans

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.650442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 035f786b-dac6-4866-9726-37d358d43fdd · outbound

This paper cites Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Neural Continuous-Time Markov Chain: Discrete Diffusion via Decoupled Jump Timing and Direction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.748731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af94d7c2-31d1-40b7-91d8-9711cd8b6d0e · outbound

This paper cites Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Mean-to-Score Discrete Diffusion: Posterior-Mean Denoisers for Score Entropy

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.852406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2897dc50-2f75-45f1-b7a5-0bd8965d1fef · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.905226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68321145-643d-4fb9-b5de-94ed3fbe1f69 · outbound

This paper cites Large Language Diffusion Models.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Large Language Diffusion Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:57.972472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0bab8c-9701-4f90-af1b-10231875ea78 · outbound

This paper cites Your absorbing discrete diffusion secretly models the conditional distributions of clean data.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Your absorbing discrete diffusion secretly models the conditional distributions of clean data

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.036774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0646a49f-2e69-475f-a4a4-97ed2f623452 · outbound

This paper cites The FineWeb datasets: Decanting the web for the finest text data at scale.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective The FineWeb datasets: Decanting the web for the finest text data at scale

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.097824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b3d9dc-d09a-4308-a534-9fe6683ddb97 · outbound

This paper cites Language models are unsupervised multitask learners.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Language models are unsupervised multitask learners

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.242287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5cfe1bb-a2cc-4416-808b-a5feaa4ef972 · outbound

This paper cites Chiu, Alexander Rush, and Volodymyr Kuleshov.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Chiu, Alexander Rush, and Volodymyr Kuleshov

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.301643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87ada045-686d-453e-83d4-bdcf86a6a7bd · outbound

This paper cites Chiu, and Volodymyr Kuleshov.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Chiu, and Volodymyr Kuleshov

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.369175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 281315f7-f37c-43c5-81a6-a6ef109bbd53 · outbound

This paper cites WinoGrande: Anadversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective WinoGrande: Anadversarial winograd schema challenge at scale.Communications of the ACM, 64(9):99–106, 2021

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.427255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68277356-feb8-4660-abe1-e3035e9242cd · outbound

This paper cites Social IQa: Commonsense reasoning about social interactions.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Social IQa: Commonsense reasoning about social interactions

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.516906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3fa85d6-7851-44f2-a41c-9b981eb334a2 · outbound

This paper cites an unresolved cited work.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.605577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1474d328-5903-4715-9561-0c0f5751a588 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.682133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6e89e59-f489-488f-85e5-2e4382b36b2e · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.738385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ec3971-3b63-443b-8af8-f3b617337c12 · outbound

This paper cites A deep and tractable density estimator.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective A deep and tractable density estimator

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.795006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f248dad-a9aa-4bfe-b87f-9ec91dc2d0f2 · outbound

This paper cites Generalized interpolating discrete diffusion.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Generalized interpolating discrete diffusion

Reference 26

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:58.951381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bfd36be-cf3a-4878-97f9-21f84650bea8 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective Dream 7B: Diffusion Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:59.050918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89a7a05d-e444-403c-a122-dc2904829241 · outbound

This paper cites HellaSwag: Can a ma- chine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791–4800, 2019.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective HellaSwag: Can a ma- chine really finish your sentence? InProceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 4791–4800, 2019

Reference 28

Resolution: malformed identifier; no resolver link, observed 2026-07-31T12:59:59.169037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2fb57e2-f0ca-4d29-abf5-09148d861e4b · outbound

This paper cites 2.fork= 1,...,Kdo x0∼p data, t∼Unif[10 −3,1), z t∼q t|0(·|x 0).

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective 2.fork= 1,...,Kdo x0∼p data, t∼Unif[10 −3,1), z t∼q t|0(·|x 0)

Reference 29

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:59.362634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c01b2b2a-868c-4c98-bea0-7ca77f62e08f · outbound

This paper cites 8ton D".

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective 8ton D"

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:59.421473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b7ec7f2-e09f-4ab4-b7b4-0730e40b9c0e · outbound

This paper cites - Results of liquids are applied into the blood so that sensors are sensed not with notable local overlay.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective - Results of liquids are applied into the blood so that sensors are sensed not with notable local overlay

Reference 31

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:59.531883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b7c8ccb3-1c8b-47b4-8166-420f64018744 · outbound

This paper cites While working with retailer, we preliminaryised the idea of giving the retailer (or shootyp to get that) exact power-bind we could offer it in 2016.

UNIFUSION: Adapting Autoregressive Language Models into Discrete Diffusion under a Unified Reverse-Rate Objective While working with retailer, we preliminaryised the idea of giving the retailer (or shootyp to get that) exact power-bind we could offer it in 2016

Reference 32

Resolution: unresolved; no resolver link, observed 2026-07-31T12:59:59.660062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.