Paper Citation Record · LEDGER

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement

As of 9 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2507.02391.

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

pith.paper-citation-record.v1
2507.02391 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:22.468532Z

measured 34 of 34 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 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

34 of 34 outbound references displayed

verified exact0
verified fuzzy29
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 278dad41-f6f4-4d3b-8035-06d7e401f06e · outbound

This paper cites Score-based generative modeling through stocha stic differen- tial equations,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Score-based generative modeling through stocha stic differen- tial equations,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:28.019152Z

Source-reported events for the cited work

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

Observation 80a6b4cf-47f5-4197-82ea-ba37d9e43946 · outbound

This paper cites Di ffusion models in vision: A survey,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Di ffusion models in vision: A survey,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.902978Z

Source-reported events for the cited work

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

Observation 6add9775-6d21-4e7e-95a5-fe6450a36e87 · outbound

This paper cites A Survey on Diffusion Models for Inverse Problems.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement A Survey on Diffusion Models for Inverse Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:19.787123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9859bf5-7c75-482f-8d90-5523775d3419 · outbound

This paper cites Speech enhancement and dereverberation with diffusion-b ased genera- tive models,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Speech enhancement and dereverberation with diffusion-b ased genera- tive models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.807467Z

Source-reported events for the cited work

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

Observation b7d5f922-0fe0-4499-8dd1-4348414601e7 · outbound

This paper cites StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement StoRM: A diffusion-based stochastic regeneration model for speech enhancement and dereverberation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.639863Z

Source-reported events for the cited work

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

Observation 5962565a-0588-4c58-9376-24efef167cc1 · outbound

This paper cites Diffusion-based speech enhancement in matched and mis- matched conditions using a Heun-based sampler,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Diffusion-based speech enhancement in matched and mis- matched conditions using a Heun-based sampler,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.495675Z

Source-reported events for the cited work

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

Observation dcb38973-f993-41fd-aa7d-b2c4d998a713 · outbound

This paper cites Universal Speech Enhancement with Score-based Diffusion.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Universal Speech Enhancement with Score-based Diffusion

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:20.093693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b3619ec-8597-48aa-b591-cb5703636cbf · outbound

This paper cites Conditional diffusion probabilistic model for speech enh ancement,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Conditional diffusion probabilistic model for speech enh ancement,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.375052Z

Source-reported events for the cited work

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

Observation 59dcc19e-63c9-4b02-b621-9c66cf066d78 · outbound

This paper cites Cold dif fusion for speech enhancement,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Cold dif fusion for speech enhancement,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.201109Z

Source-reported events for the cited work

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

Observation 8cd49ff8-4060-42f2-b195-3f77390824d1 · outbound

This paper cites Supervised speech separation base d on deep learning: An overview,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Supervised speech separation base d on deep learning: An overview,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:27.028384Z

Source-reported events for the cited work

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

Observation d74a3359-28be-4eb2-ada0-25cfef1bede3 · outbound

This paper cites A regression appr oach to speech enhancement based on deep neural networks,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement A regression appr oach to speech enhancement based on deep neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.861079Z

Source-reported events for the cited work

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

Observation a26fe851-eaf5-4cd2-b9dc-476d1408e1fb · outbound

This paper cites Conv-TasNet: Surpassing idea l time– frequency magnitude masking for speech separation,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Conv-TasNet: Surpassing idea l time– frequency magnitude masking for speech separation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.693127Z

Source-reported events for the cited work

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

Observation 4c8c13ac-ac6c-4805-94fd-3dc04f830399 · outbound

This paper cites Unsupervised s peech enhance- ment with diffusion-based generative models,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Unsupervised s peech enhance- ment with diffusion-based generative models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.520385Z

Source-reported events for the cited work

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

Observation 67596a5c-56a6-4f47-b0ab-86d6dfc10677 · outbound

This paper cites Diffusion- based unsupervised audio-visual speech enhancement,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Diffusion- based unsupervised audio-visual speech enhancement,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.347958Z

Source-reported events for the cited work

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

Observation 8c58c2ed-784b-4fa2-a5f5-b5cabde922ca · outbound

This paper cites UnDiff: Unsupervised V oice Restoration with Uncondition al Diffusion Model,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement UnDiff: Unsupervised V oice Restoration with Uncondition al Diffusion Model,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:26.184816Z

Source-reported events for the cited work

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

Observation 9ee03c42-aaa0-4699-afd1-b4026edc97fc · outbound

This paper cites BUDDy: Single-channel blind unsupervised dereverberati on with dif- fusion models,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement BUDDy: Single-channel blind unsupervised dereverberati on with dif- fusion models,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.963842Z

Source-reported events for the cited work

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

Observation 70165729-bf1f-49d5-8283-063846f78a64 · outbound

This paper cites Diffusion models for audio restoration: A rev iew,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Diffusion models for audio restoration: A rev iew,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.789505Z

Source-reported events for the cited work

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

Observation 0c983a88-0dbc-4bee-bee2-812f7b1bae4d · outbound

This paper cites Diffusion posterior sampling for general noisy inverse pr oblems,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Diffusion posterior sampling for general noisy inverse pr oblems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.606833Z

Source-reported events for the cited work

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

Observation 4289089d-37f1-43a4-a7ad-63b9957678e5 · outbound

This paper cites Diffusion model based poster ior sampling for noisy linear inverse problems,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Diffusion model based poster ior sampling for noisy linear inverse problems,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.485067Z

Source-reported events for the cited work

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

Observation d2463806-4dc9-4728-8e99-296ec9c934fb · outbound

This paper cites Reverse-time diffusion equation mod- els,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Reverse-time diffusion equation mod- els,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:21.181159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e9426ce-fffe-4921-be49-a6b2e1d3ca6d · outbound

This paper cites Understanding diffusion objec tives as the ELBO with simple data augmentation,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Understanding diffusion objec tives as the ELBO with simple data augmentation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.299549Z

Source-reported events for the cited work

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

Observation bde5380a-a93b-4bbf-bac5-0d74360f5e5b · outbound

This paper cites an unresolved cited work.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:21.377076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3103772d-abce-435a-96b8-f392d597590b · outbound

This paper cites Tweedie’s formula and selection bias,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Tweedie’s formula and selection bias,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:21.456853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d282816e-ba51-4508-927b-b60e50d824d0 · outbound

This paper cites Solving inverse problems in medical imaging with score-based generative models,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Solving inverse problems in medical imaging with score-based generative models,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:25.088116Z

Source-reported events for the cited work

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

Observation d8bfa41a-0ca8-4d9e-82a8-7d343a7264a2 · outbound

This paper cites UDiffSE Supplementary Material,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement UDiffSE Supplementary Material,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:24.898185Z

Source-reported events for the cited work

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

Observation 8a281f5a-efe7-4a64-865f-3ce366b8da18 · outbound

This paper cites Diffusion posterior sampling for li near inverse problem solving: A ﬁltering perspective,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Diffusion posterior sampling for li near inverse problem solving: A ﬁltering perspective,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:24.667113Z

Source-reported events for the cited work

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

Observation 76ae0c81-9e2b-4a55-b858-9c6488d62ebc · outbound

This paper cites A recurrent variational autoencoder for speech enhancement,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement A recurrent variational autoencoder for speech enhancement,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:24.430685Z

Source-reported events for the cited work

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

Observation 7674e8e1-8235-4402-8ebb-9526a38b0e03 · outbound

This paper cites In vestigating rnn-based speech enhancement methods for noise-robust tex t-to-speech,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement In vestigating rnn-based speech enhancement methods for noise-robust tex t-to-speech,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:24.229395Z

Source-reported events for the cited work

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

Observation 3811b261-6c11-469c-a792-d8bab1be8bc3 · outbound

This paper cites CSR-I (W SJ0) complete LDC93S6B,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement CSR-I (W SJ0) complete LDC93S6B,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:23.990045Z

Source-reported events for the cited work

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

Observation 6f56b344-31b2-4e0d-9315-7f76fb4590da · outbound

This paper cites The QUT-NOISE-SRE protocol for the evalu ation of noisy speaker recognition,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement The QUT-NOISE-SRE protocol for the evalu ation of noisy speaker recognition,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:23.749278Z

Source-reported events for the cited work

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

Observation 1470403d-fdae-477e-98a2-6386a4b241ea · outbound

This paper cites The diverse enviro nments multi- channel acoustic noise database (DEMAND): A database of mul tichan- nel environmental noise recordings,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement The diverse enviro nments multi- channel acoustic noise database (DEMAND): A database of mul tichan- nel environmental noise recordings,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:23.520895Z

Source-reported events for the cited work

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

Observation 580c9574-e8f1-4292-8d0e-69cfc6b69b72 · outbound

This paper cites SDR –half- baked or well done?.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement SDR –half- baked or well done?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:23.338440Z

Source-reported events for the cited work

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

Observation 7575a0bb-c82b-41a1-b76f-1b7882cf7ee9 · outbound

This paper cites An algorithm for predicting th e intelligibility of speech masked by modulated noise maskers,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement An algorithm for predicting th e intelligibility of speech masked by modulated noise maskers,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:23.132756Z

Source-reported events for the cited work

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

Observation 4120a06d-77cc-461d-84d0-ae988642471f · outbound

This paper cites Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,.

Posterior Transition Modeling for Unsupervised Diffusion-Based Speech Enhancement Perceptual evaluation of speech quality (PESQ)-a new method for speech quality assessment of telephone networks and codecs,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:40:22.875843Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.