Paper Citation Record · LEDGER

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models

As of 6 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2606.10046.

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

pith.paper-citation-record.v1
2606.10046 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:58:27.176375Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:58:27.176375Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T03:37:36.092730Z

Reference resolution

60 of 60 outbound references displayed

verified exact18
verified fuzzy0
unresolved32
parse uncertain0
malformed identifier3
metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b3441bd-555a-41f6-bdf8-c3ebecd3d777 · outbound

This paper cites Modern au- dio foundation models integrate continuous flow matching [3] with diffusion transformers [4] to process diverse multimodal conditions [5, 6].

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Modern au- dio foundation models integrate continuous flow matching [3] with diffusion transformers [4] to process diverse multimodal conditions [5, 6]

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45dad634-6577-4fbe-89a4-b3212a697f3d · outbound

This paper cites Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:37:36.094295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5cc7ab16-cf87-46fd-84ec-ae05af597acc · outbound

This paper cites This model features 12 transformer layers and utilizes a 16 step Euler solver.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models This model features 12 transformer layers and utilizes a 16 step Euler solver

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fa27997-c982-4cdf-9205-ed13ac327859 · outbound

This paper cites Dual Pathway Conditioning We observe an asymmetric division of labor within the text con- ditioning mechanisms.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Dual Pathway Conditioning We observe an asymmetric division of labor within the text con- ditioning mechanisms

Reference 4

Resolution: malformed identifier; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d42af0-ac2b-4d23-908e-651d0c280db7 · outbound

This paper cites We quantitatively establish a dual pathway text conditioning mechanism where additive injections govern se- mantic identity while cross attention resolves acoustic textures.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models We quantitatively establish a dual pathway text conditioning mechanism where additive injections govern se- mantic identity while cross attention resolves acoustic textures

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d26c95d-f52a-4861-a791-253f7abde777 · outbound

This paper cites The tool was not used to generate scien- tific content, experimental results, or conclusions.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models The tool was not used to generate scien- tific content, experimental results, or conclusions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1692c5b-67c6-4ad6-880b-5566865963f4 · outbound

This paper cites Segment anything,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Segment anything,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8957983-644c-4f42-9e08-4d04c0d41db4 · outbound

This paper cites Segment Anything.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Segment Anything

Reference 8

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:37:36.075523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 058b4040-f6d6-4f54-b4c5-d1da7a0d8f92 · outbound

This paper cites Ruijie Tao, Zexu Pan, Rohan Kumar Das, Xinyuan Qian, Mike Zheng Shou, and Haizhou Li.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Ruijie Tao, Zexu Pan, Rohan Kumar Das, Xinyuan Qian, Mike Zheng Shou, and Haizhou Li

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:36.028108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 76741ec2-5c90-4cb8-b007-e72231436cad · outbound

This paper cites Flow Matching for Generative Modeling.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Flow Matching for Generative Modeling

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.049328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d92f528d-f6a7-44bc-bde4-8244e8baf938 · outbound

This paper cites Scalable diffusion models with transform- ers,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Scalable diffusion models with transform- ers,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 272e8f04-9d4f-45f9-92b8-6765519d2e9f · outbound

This paper cites Stable Audio Open.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Stable Audio Open

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:36.044182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efa4768f-3971-4717-b90a-b10cfdcfce84 · outbound

This paper cites AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.064677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 285cf56d-b570-4f47-8b78-ab418ab5e431 · outbound

This paper cites Denoising diffusion probabilistic models,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Denoising diffusion probabilistic models,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 555d6230-e827-400c-9704-0aee63684e62 · outbound

This paper cites Masked image pretraining on language assisted representation.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Masked image pretraining on language assisted representation

Reference 16

Resolution: malformed identifier; arxiv_id, observed 2026-07-03T03:37:36.096983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9bd56b9-448a-4e6c-af79-cd7a53beeddd · outbound

This paper cites MGE-LDM: Joint latent diffusion for simultaneous music generation and source extraction,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models MGE-LDM: Joint latent diffusion for simultaneous music generation and source extraction,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9007da-f6b6-4352-887f-d226b666e787 · outbound

This paper cites LiteFocus: Accelerated diffusion inference for long audio synthesis,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models LiteFocus: Accelerated diffusion inference for long audio synthesis,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e5eb20-ed5d-4c9b-8dc9-2bd05efb229d · outbound

This paper cites Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Time-Frequency-Based Attention Cache Memory Model for Real-Time Speech Separation

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.073117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 0e4c9ee9-67ae-473a-91a0-f9f6002effc4 · outbound

This paper cites Explicit-memory multiresolution adaptive framework for speech and music separation,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Explicit-memory multiresolution adaptive framework for speech and music separation,

Reference 20

Resolution: malformed identifier; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c814976-345f-40bf-bd70-36bbe2c97c1d · outbound

This paper cites What the DAAM: Interpreting stable diffusion using cross attention,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models What the DAAM: Interpreting stable diffusion using cross attention,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55eb1316-59fe-48dd-989c-3f3fa79de441 · outbound

This paper cites Masked-attention diffusion guidance for spatially con- trolling text-to-image generation,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Masked-attention diffusion guidance for spatially con- trolling text-to-image generation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09318f53-fa1f-4340-8c8a-5f2fd43bd465 · outbound

This paper cites Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.038692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5cfc4df9-f2d9-4371-b4e9-83d0f966e667 · outbound

This paper cites High-Resolution Image Synthesis with Latent Diffusion Models.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models High-Resolution Image Synthesis with Latent Diffusion Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.056602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation efcadebb-1767-4705-95b4-e49254c6a561 · outbound

This paper cites Prompt-to-Prompt Image Editing with Cross Attention Control.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Prompt-to-Prompt Image Editing with Cross Attention Control

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.046282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b4aa1219-6395-4106-b8d7-59e6b1deafeb · outbound

This paper cites Complex image-generative diffusion transformer for audio denoising,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Complex image-generative diffusion transformer for audio denoising,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b836ba5-38d8-463b-8bf2-d8a12370b6bf · outbound

This paper cites Causal deciphering and inpainting in spatio-temporal dynamics via diffusion model,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Causal deciphering and inpainting in spatio-temporal dynamics via diffusion model,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7043eb93-cf34-41b6-99b9-794366d7c9b0 · outbound

This paper cites Attention is not explanation,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Attention is not explanation,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a0f427d-a7ca-4586-95e1-a676ed515ab3 · outbound

This paper cites Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.052378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2de93308-1833-4823-99dd-dad29624b8f7 · outbound

This paper cites Transformer interpretability be- yond attention visualization,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Transformer interpretability be- yond attention visualization,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3c7e156-25af-4e87-a1d4-3ce30adcc5ad · outbound

This paper cites Pearl,Causality: Models, Reasoning, and Inference, 2nd ed.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Pearl,Causality: Models, Reasoning, and Inference, 2nd ed

Reference 31

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09355168-01fc-4f43-b1bc-d726ae7574a3 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Score-Based Generative Modeling through Stochastic Differential Equations

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.051949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a14505cf-1075-4310-afea-bed20264f453 · outbound

This paper cites FiLM: Visual Reasoning with a General Conditioning Layer.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models FiLM: Visual Reasoning with a General Conditioning Layer

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.057544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 54e25014-83d4-4311-821c-ca6ca44e8596 · outbound

This paper cites Attention Is All You Need.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Attention Is All You Need

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.062870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 30234035-7ea8-4416-b233-a0fa3dbb3417 · outbound

This paper cites Quantifying attention flow in transformers,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Quantifying attention flow in transformers,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 672edff9-c431-48c5-a3ec-704f628101a4 · outbound

This paper cites High-Fidelity Audio Compression with Improved RVQGAN.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models High-Fidelity Audio Compression with Improved RVQGAN

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.067248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bf3ed96b-e948-4324-84fb-5509ccfcd373 · outbound

This paper cites Lib- riSpeech: An ASR corpus based on public domain audio books,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Lib- riSpeech: An ASR corpus based on public domain audio books,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d9b7cdc-293a-45a9-85a4-9894e3922af2 · outbound

This paper cites ESC-50: A dataset for environmental sound classifi- cation,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models ESC-50: A dataset for environmental sound classifi- cation,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ea5f234-c3e1-4b20-b44b-243c99124b5c · outbound

This paper cites FSD50K: An Open Dataset of Human-Labeled Sound Events.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models FSD50K: An Open Dataset of Human-Labeled Sound Events

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.035958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 07224c14-c0ea-48d4-96ca-1b1708343237 · outbound

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

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Conv-TasNet: Surpassing ideal time– frequency magnitude masking for speech separation,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 667c3794-7945-4d37-96c0-8def94d1258a · outbound

This paper cites Performance measure- ment in blind audio source separation,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Performance measure- ment in blind audio source separation,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ddd32bb-8a2d-4210-b464-dd30cb8e6be0 · outbound

This paper cites An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models An al- gorithm for intelligibility prediction of time–frequency weighted noisy speech,

Reference 42

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e1b7238-e05f-457f-9a16-c7d725999cac · outbound

This paper cites an unresolved cited work.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19dba423-7f35-4535-bccd-97e1427d2ddf · outbound

This paper cites Cohen,Statistical Power Analysis for the Behavioral Sciences, 2nd ed.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Cohen,Statistical Power Analysis for the Behavioral Sciences, 2nd ed

Reference 44

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6e1102-2f61-44ba-bc19-b79f571d4d07 · outbound

This paper cites DeepCache: Accelerating Diffusion Models for Free.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models DeepCache: Accelerating Diffusion Models for Free

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:36.065459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 19af04b0-34df-461c-90a7-cee1437ecc38 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.046603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e14ab19a-00a3-4fda-a5fa-7181d5adcf06 · outbound

This paper cites Denoising Diffusion Implicit Models.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Denoising Diffusion Implicit Models

Reference 48

Resolution: verified exact; local_arxiv, observed 2026-07-03T03:37:36.030477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 8c51fa33-cb42-4d6c-88cf-df9e00be0798 · outbound

This paper cites DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.068170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 08eeebb6-5f54-4415-8a26-8a6715794c17 · outbound

This paper cites Auto-encoding variational bayes,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Auto-encoding variational bayes,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61bc9cf0-6fc2-45d7-bc72-15052157dd60 · outbound

This paper cites Auto-Encoding Variational Bayes.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Auto-Encoding Variational Bayes

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T03:37:36.041477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a4a215e1-a2a8-4513-9676-b6135b66641a · outbound

This paper cites Fast Timing-Conditioned Latent Audio Diffusion.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Fast Timing-Conditioned Latent Audio Diffusion

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T03:37:36.033208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b0aae27a-b599-49b5-9419-a2425e8d75d6 · outbound

This paper cites EzAudio: Enhancing text-to-audio generation with efficient diffusion transformer,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models EzAudio: Enhancing text-to-audio generation with efficient diffusion transformer,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8f2b273-8ca6-4382-95f9-a28296097411 · outbound

This paper cites W A-Transformer: Window attention-based transformer with two-stage strategy for multi-task audio source separation,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models W A-Transformer: Window attention-based transformer with two-stage strategy for multi-task audio source separation,

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f26ece9-47cc-4ad9-ad66-70b441e2c1d0 · outbound

This paper cites TriBERT: Human- centric audio-visual representation learning,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models TriBERT: Human- centric audio-visual representation learning,

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5eb6db82-ca77-4d4b-bacd-a9ecad2e079d · outbound

This paper cites SepTr: Separable transformer for audio spectrogram processing,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models SepTr: Separable transformer for audio spectrogram processing,

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b62f3db-f54d-4bbe-8a9f-0ee1a1c05916 · outbound

This paper cites HTS-AT: A hierarchical token-semantic audio transformer for sound classification and detection,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models HTS-AT: A hierarchical token-semantic audio transformer for sound classification and detection,

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.060198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation bc3dcc49-c740-44ed-b39e-b1f932e77f14 · outbound

This paper cites Interpretability analysis in transformers based on attention visualization,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Interpretability analysis in transformers based on attention visualization,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a9c83d-ccfa-454a-ae02-8d673ca448c2 · outbound

This paper cites Dynamic knowledge condensation with audio-selective transformer for audio deepfake detection,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Dynamic knowledge condensation with audio-selective transformer for audio deepfake detection,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2732c35b-371d-4f8b-b2c7-c7af90d09b14 · outbound

This paper cites Available: https://link.springer.com/article/10.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Available: https://link.springer.com/article/10

Reference 60

Resolution: unresolved; no resolver link, observed 2026-06-27T14:58:27.176375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a668968-1c7d-4a28-a455-9a106a8b9fbc · outbound

This paper cites Ripple sparse self-attention for monaural speech enhancement.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Ripple sparse self-attention for monaural speech enhancement

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.025324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b462b16a-be9b-494a-91db-c5be7f751735 · outbound

This paper cites Disentangled-transformer: An explainable end-to-end automatic speech recognition model with speech content-context separation,.

Inside the Latent Flow: Causal Deciphering of Attention Dynamics in Audio Separation Foundation Models Disentangled-transformer: An explainable end-to-end automatic speech recognition model with speech content-context separation,

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:36.070644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 45dad634-6577-4fbe-89a4-b3212a697f3d · inbound