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Paper Citation Record · LEDGER

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models

As of 19 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 0 inbound Pith citation observations for arXiv:2412.05780.

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

pith.paper-citation-record.v1
2412.05780 v3

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:29:03.391668Z

measured 61 of 61 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

61 of 61 outbound references displayed

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  • verified fuzzy37
  • unresolved24
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b741253-67b0-45f6-b134-47582e1d7f5f · outbound

This paper cites The unreasonable ef- fectiveness of clip features for image captioning: an experi- mental analysis.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models The unreasonable ef- fectiveness of clip features for image captioning: an experi- mental analysis

Reference 1

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Observation 59622710-ef68-4b2b-af78-61f387bcb70a · outbound

This paper cites Speed is all you need: On-device acceleration of large diffu- sion models via gpu-aware optimizations.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Speed is all you need: On-device acceleration of large diffu- sion models via gpu-aware optimizations

Reference 2

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Observation 2ad6cdd6-4b7e-431c-90ae-b6b9a32f8292 · outbound

This paper cites Exploring bert models for part-of-speech tagging in the algerian dialect: A comprehensive study.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Exploring bert models for part-of-speech tagging in the algerian dialect: A comprehensive study

Reference 3

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Observation e68e4fae-d584-44da-9546-4f5b36bbfe8b · outbound

This paper cites Objective video quality assessment meth- ods: A classification, review, and performance comparison.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Objective video quality assessment meth- ods: A classification, review, and performance comparison

Reference 4

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Source-reported events for the cited work

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Observation ec1a2f9a-fa25-42f3-891d-e649554eafaa · outbound

This paper cites Diffusion models in vision: A survey.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Diffusion models in vision: A survey

Reference 5

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Source-reported events for the cited work

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Observation e310a745-6166-4f50-9881-546eb20fc9ef · outbound

This paper cites A loss function for generative neural networks based on watson’s perceptual model.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models A loss function for generative neural networks based on watson’s perceptual model

Reference 6

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Source-reported events for the cited work

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Observation 41fa8035-b6ce-474c-965c-794b20d92e40 · outbound

This paper cites Visible differences predictor: an algorithm for the assessment of image fidelity.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Visible differences predictor: an algorithm for the assessment of image fidelity

Reference 7

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Observation b62c6491-1b77-415c-8617-6f1314d02f7a · outbound

This paper cites Microsaccades are triggered by low retinal image slip.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Microsaccades are triggered by low retinal image slip

Reference 8

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Source-reported events for the cited work

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Observation 76bd1e63-447c-4458-a403-2d790d442cb6 · outbound

This paper cites Dream- sim: Learning new dimensions of human visual similarity using synthetic data.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Dream- sim: Learning new dimensions of human visual similarity using synthetic data

Reference 9

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Source-reported events for the cited work

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Observation f768a987-7858-4c8d-9293-fff284cf1fde · outbound

This paper cites Framewise phoneme classification with bidirectional lstm and other neural net- work architectures.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Framewise phoneme classification with bidirectional lstm and other neural net- work architectures

Reference 10

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Source-reported events for the cited work

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Observation a5a2b24b-f5a1-41ae-b0e9-649ada3c9329 · outbound

This paper cites Speech recognition with deep recurrent neural networks.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Speech recognition with deep recurrent neural networks

Reference 11

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Source-reported events for the cited work

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Observation 15ee9173-9e47-41ff-a33f-bb5961d1dc81 · outbound

This paper cites AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning

Reference 12

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Observation 6f61d3f4-db8a-4828-bebf-9b46815f6269 · outbound

This paper cites Improving neural networks by preventing co-adaptation of feature detectors.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Improving neural networks by preventing co-adaptation of feature detectors

Reference 13

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Observation 99ee1f3a-9d86-46e3-80ea-e19212c38b04 · outbound

This paper cites Denoising dif- fusion probabilistic models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Denoising dif- fusion probabilistic models

Reference 14

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Observation 8dd84ebe-f3e4-463a-83d6-80ee39795c53 · outbound

This paper cites Video dif- fusion models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Video dif- fusion models

Reference 15

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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.

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Observation d35663d3-7b5b-4b88-aa0c-fa83203251aa · outbound

This paper cites Perceptual model for adaptive local shad- ing and refresh rate.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Perceptual model for adaptive local shad- ing and refresh rate

Reference 16

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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.

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Observation 63fc1307-5a09-467a-8ebb-2c936c03c399 · outbound

This paper cites Percep- tual losses for real-time style transfer and super-resolution.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Percep- tual losses for real-time style transfer and super-resolution

Reference 17

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Observation 7348ccb7-73ae-4167-97de-d7d55bdff35f · outbound

This paper cites Aligning ar- tificial intelligence with climate change mitigation.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Aligning ar- tificial intelligence with climate change mitigation

Reference 18

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Source-reported events for the cited work

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Observation d386ad65-33a8-4ff6-ad2f-a72f202c53d2 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Elucidating the design space of diffusion-based generative models

Reference 19

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Observation 88a0b46c-8407-40db-ba37-8a76521fa014 · outbound

This paper cites Generative ai’s environmental costs are soar- ing — and mostly secret.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Generative ai’s environmental costs are soar- ing — and mostly secret

Reference 20

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Source-reported events for the cited work

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Observation 6924ed73-af88-453a-b34e-b819eb40af27 · outbound

This paper cites Image reconstruction in snr units: a general method for snr measurement.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Image reconstruction in snr units: a general method for snr measurement

Reference 21

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Source-reported events for the cited work

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Observation 9dd594da-39f7-4ddb-aa5b-3455bdb8128b · outbound

This paper cites Bert: Pre-training of deep bidirectional trans- formers for language understanding.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Bert: Pre-training of deep bidirectional trans- formers for language understanding

Reference 22

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Source-reported events for the cited work

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Observation 45750144-6e5c-4d47-a839-4fa4fb03761c · outbound

This paper cites Autodiffusion: Training-free optimization of time steps and architectures for automated diffusion model acceleration.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Autodiffusion: Training-free optimization of time steps and architectures for automated diffusion model acceleration

Reference 23

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Observation 314c2f26-38c6-4fe5-9cf2-0f36f3124a10 · outbound

This paper cites Distri- fusion: Distributed parallel inference for high-resolution dif- fusion models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Distri- fusion: Distributed parallel inference for high-resolution dif- fusion models

Reference 24

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Observation e3d4921e-2453-461b-a6f1-15be000f3fb3 · outbound

This paper cites Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Snap- fusion: Text-to-image diffusion model on mobile devices within two seconds

Reference 25

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Observation 083c5bb6-b5fa-48ac-a40f-e0a55513472a · outbound

This paper cites Microsoft coco: Common objects in context.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Microsoft coco: Common objects in context

Reference 26

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Source-reported events for the cited work

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Observation 4f4a9c54-8503-45f0-9e8f-684e51903d6e · outbound

This paper cites Pseudo Numerical Methods for Diffusion Models on Manifolds.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Pseudo Numerical Methods for Diffusion Models on Manifolds

Reference 27

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Observation 0ec34c59-77df-48be-8005-eb0434b0f237 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 28

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Source-reported events for the cited work

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Observation eb117513-18a9-4d4c-9ecd-dc783647a327 · outbound

This paper cites Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Dpm-solver: A fast ode solver for diffusion probabilistic model sampling in around 10 steps

Reference 29

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Observation 33277639-2cbf-407c-aa3a-508e2e437dfd · outbound

This paper cites Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 30

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Source-reported events for the cited work

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Observation 2f004546-af1b-4de9-a1b0-1b28ac916c04 · outbound

This paper cites Deepcache: Accelerating diffusion models for free.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Deepcache: Accelerating diffusion models for free

Reference 31

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Source-reported events for the cited work

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Observation 80dc9a1a-9818-4633-9794-05ce6db5100b · outbound

This paper cites Sentiment analysis us- ing bidirectional lstm network.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Sentiment analysis us- ing bidirectional lstm network

Reference 32

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Source-reported events for the cited work

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Observation 64719492-ec99-4893-a84b-5569e9b0e6b1 · outbound

This paper cites Hdr-vdp-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Hdr-vdp-2: A calibrated visual metric for visibility and quality predictions in all luminance conditions

Reference 33

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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.

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Observation 813e29a9-49a5-42f1-95ca-190cadf09b91 · outbound

This paper cites Comparison of four subjective methods for image qual- ity assessment.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Comparison of four subjective methods for image qual- ity assessment

Reference 34

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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.

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Observation b495b8f3-1d7c-405e-bebe-d6153b7d0584 · outbound

This paper cites Fovvideovdp: A visible difference predictor for wide field-of-view video.ACM Transactions on Graphics (TOG), 40(4):1–19, 2021.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Fovvideovdp: A visible difference predictor for wide field-of-view video.ACM Transactions on Graphics (TOG), 40(4):1–19, 2021

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.775239Z

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.

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Observation 8cd06284-0509-4e15-8f8e-19b9af94d0b6 · outbound

This paper cites Making an image with generative ai uses as much energy as charging your phone.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Making an image with generative ai uses as much energy as charging your phone

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.760583Z

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.

source=pdf_text observed=2026-08-11T20:29:03.281033Z digest=sha256:ef5550c90d2f1b2f348e587832f596cd67101c08330eb246dcb114c852c74df1

Observation 2c639b73-1321-450c-8ca5-9fb2591f94dc · outbound

This paper cites On distillation of guided diffusion models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models On distillation of guided diffusion models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:03.284536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.284536Z digest=sha256:36bf7e360f5cbb6697932f1cad1993dd7e8b8ad55c39fdfe88106617159eaaf4

Observation 6e281181-8095-4dfb-a40a-60140b689082 · outbound

This paper cites Clip-mesh: Generating textured meshes from text using pretrained image-text models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Clip-mesh: Generating textured meshes from text using pretrained image-text models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.735866Z

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.

source=pdf_text observed=2026-08-11T20:29:03.288608Z digest=sha256:cd5ef4898722a3d2d68977e610f61ea571bd42360c8b8672aa1297268e02e1fa

Observation d4c54099-5c17-45d2-9b3c-4e3630e45fcc · outbound

This paper cites On inference stability for diffusion models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models On inference stability for diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.722768Z

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.

source=pdf_text observed=2026-08-11T20:29:03.293036Z digest=sha256:33f73d39c621f0ff09d23ce46757cd6051d62ed86a1acad6bc2396495cde5e88

Observation afef5de7-d414-4b04-a988-9efcb5ec3e39 · outbound

This paper cites Improved denoising diffusion probabilistic models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Improved denoising diffusion probabilistic models

Reference 40

Resolution
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no resolver link, observed 2026-08-11T20:29:03.297270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.297270Z digest=sha256:4e4afba0de67a176a27e04fbd14d459c60fc41d173745c0e4fe2901763b4ce9d

Observation 5627b614-835b-410d-a5d4-784439ef8b65 · outbound

This paper cites Optic: A deep neural network approach for entity linking using word and knowledge em- beddings.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Optic: A deep neural network approach for entity linking using word and knowledge em- beddings

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.702489Z

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.

source=pdf_text observed=2026-08-11T20:29:03.301941Z digest=sha256:f3544b1988c9d71b0ef84139b2c421e47f9f17a09f2b3034555b575d6d014c82

Observation 4433e7ac-3646-4109-8332-9516394a3731 · outbound

This paper cites Local laplacian filters: Edge-aware image processing with a lapla- cian pyramid.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Local laplacian filters: Edge-aware image processing with a lapla- cian pyramid

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.689671Z

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.

source=pdf_text observed=2026-08-11T20:29:03.305912Z digest=sha256:f5042d1982e95c9de11b9072f9cb7aecacf9cea69178ba6efe0b95d46cc93505

Observation 37ce801d-b5e1-4a92-89a2-86fa06136297 · outbound

This paper cites Towards foveated rendering for gaze-tracked virtual reality.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Towards foveated rendering for gaze-tracked virtual reality

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.677518Z

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.

source=pdf_text observed=2026-08-11T20:29:03.309953Z digest=sha256:fe3dc4fe86e6a2937733aa9b3d305fa7795e63db7741fe8bde8068e86202aa64

Observation 35c304f4-9d20-44d6-bd5a-d67dd1d06aff · outbound

This paper cites Diffusion autoen- coders: Toward a meaningful and decodable representation.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Diffusion autoen- coders: Toward a meaningful and decodable representation

Reference 44

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unresolved
no resolver link, observed 2026-08-11T20:29:03.314816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.314816Z digest=sha256:7fdca879ee315baf64c60bc99bf814fab41e88a511cd12f4d6971dbd594ea5c0

Observation e50a827f-f9c2-43bd-8b2d-1379cbe7d052 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Learning transferable visual models from natural language supervi- sion

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:03.319255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.319255Z digest=sha256:11f226162cd96cce4d20a70b72a07fb2f5eefde510529dbdd4f0902cde92869b

Observation 9b908dc9-1ae2-40b9-bd9f-d49953ef7339 · outbound

This paper cites Zero-shot text-to-image generation.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Zero-shot text-to-image generation

Reference 46

Resolution
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no resolver link, observed 2026-08-11T20:29:03.324060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.324060Z digest=sha256:93f087bd828c819ae90fe36ac50dea0a8db5d0205bc0a3c10428b5414e89a6a9

Observation 1fdc5c7b-75b6-4fa5-b2f1-d623d7f19319 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:03.328258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.328258Z digest=sha256:ca87e2fb44f1a8e9f6b55dce6359bfce8d4858780bb0e03e87474ac73f8e6382

Observation 515cd2c6-e7db-4bd3-a5a4-cf78d0aabbff · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Progressive Distillation for Fast Sampling of Diffusion Models

Reference 48

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no resolver link, observed 2026-08-11T20:29:03.332213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.332213Z digest=sha256:b2d4ec55afe1564ee48277dc78232351324a9b5ceee25afcc96aecdcf5c42b0d

Observation 25165646-7b2a-4e17-a021-c105301beeb5 · outbound

This paper cites Generative ai’s energy problem today is foun- dational.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Generative ai’s energy problem today is foun- dational

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.635322Z

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.

source=pdf_text observed=2026-08-11T20:29:03.338113Z digest=sha256:f3e8b643329b5752f051ebed5078ca4e7a98d6c2d5adfa3314ff99c5c5e4ece5

Observation 46790726-8762-451e-a370-fbda5a5999ed · outbound

This paper cites Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 50

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no resolver link, observed 2026-08-11T20:29:03.342765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.342765Z digest=sha256:e0b38e91cbdd58f38de8bcfa92ff8c70c804b9a7fac82e5c1380345f96970d3e

Observation b89f05cc-4cf9-468f-8419-9031530531ab · outbound

This paper cites The performance of lstm and bilstm in forecasting time series.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models The performance of lstm and bilstm in forecasting time series

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.621826Z

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.

source=pdf_text observed=2026-08-11T20:29:03.347481Z digest=sha256:d8d283f37583c0422e874c36fa1630a7915d20f36368913962d624ccb319f24d

Observation b920c24f-57e7-4e1d-b698-38e6451b9a01 · outbound

This paper cites Denoising Diffusion Implicit Models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Denoising Diffusion Implicit Models

Reference 52

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.351820Z digest=sha256:dcfc9ec47bf74ec0f454fed0753cb2cec3b19adc7f9e02faaab4e13adfa29fa6

Observation 88b1febb-eb71-4612-a10e-3e21a4b91117 · outbound

This paper cites Consistency Models.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Consistency Models

Reference 53

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no resolver link, observed 2026-08-11T20:29:03.356271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.356271Z digest=sha256:2ed6669bcdac7a189fc1a49a1602c8f19e478909f45dec34fddea1def48958ea

Observation ce2e8991-4205-4f4a-903f-0f49f3ffe76d · outbound

This paper cites Bert for sentiment analysis: pre-trained and fine- tuned alternatives.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Bert for sentiment analysis: pre-trained and fine- tuned alternatives

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.609807Z

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.

source=pdf_text observed=2026-08-11T20:29:03.360805Z digest=sha256:1da08a72e7ca33f3187cd163c490ba5fa36dbf014e6eb71268cb06429b222307

Observation 6aef40bc-9103-443e-81f8-481f21a935fc · outbound

This paper cites Spatio-temporal prompt- ing network for robust video feature extraction.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Spatio-temporal prompt- ing network for robust video feature extraction

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.597947Z

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.

source=pdf_text observed=2026-08-11T20:29:03.368096Z digest=sha256:dfacdd02dc63bfcbdc3a5d6bd8b4f8a6aa1b5dc9d15b287a38e5b1a81708e7c3

Observation 9732c54e-9bfb-4bcb-a882-f16194120fa4 · outbound

This paper cites Image quality assessment: from error visibility to structural similarity.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Image quality assessment: from error visibility to structural similarity

Reference 56

Resolution
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no resolver link, observed 2026-08-11T20:29:03.372218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.372218Z digest=sha256:fa085d1088cb104e1c6114a68ce64c29d114b318ff24dc8f0cd445fdd39e075e

Observation 2c4eff88-30ba-44b7-a738-1980efce8508 · outbound

This paper cites CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Reference 57

Resolution
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no resolver link, observed 2026-08-11T20:29:03.376858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.376858Z digest=sha256:a15095aa3d0ce564c4009415d86af3aeb3055896f012b80a129ad1f964a7fa53

Observation 5ea95614-88a6-412c-aa3b-3741bf7bba92 · outbound

This paper cites Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T20:29:03.381496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:29:03.381496Z digest=sha256:d9c836a0e536ad8d36b1584644cc008d4a4c57e486df3e9a276af575c06e4aa2

Observation f6166fc4-726d-4d5d-a37e-a47174945f27 · outbound

This paper cites Signal-to-noise ratio: A robust dis- tance metric for deep metric learning.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Signal-to-noise ratio: A robust dis- tance metric for deep metric learning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.578172Z

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.

source=pdf_text observed=2026-08-11T20:29:03.386094Z digest=sha256:144d851599a7b68dba767651cd9a26d34847f6a32b581883189e12a9b96b5ac1

Observation 31b8ee92-b26f-4cf4-8b70-062ee26ed362 · outbound

This paper cites A full perspective of a restroom view with a few things.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models A full perspective of a restroom view with a few things

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T20:29:03.565410Z

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.

source=pdf_text observed=2026-08-11T20:29:03.391668Z digest=sha256:edf1056b161178da9b02d2b85d3bb3589aaf4d4728b91aa8f5725f43ff21348a

Observation 2fb82526-d41c-4908-a936-e9145e90af21 · outbound

This paper cites an unresolved cited work.

BudgetFusion: Perceptually-Guided Adaptive Diffusion Models Unresolved cited work

Reference 2491

Resolution
unresolved
raw_fallback, observed 2026-08-11T20:29:03.788668Z

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.

source=pdf_text observed=2026-08-11T20:29:03.273737Z digest=sha256:9c894fb17c003b737c4c31e462279c2eab932cb77473f6814d51a8dd41fd07f7

Pith citing papers

No inbound Pith citation observations are available.