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Paper Citation Record · LEDGER

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 87 of 87 outbound references and 4 inbound Pith citation observations for arXiv:2505.21179.

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

pith.paper-citation-record.v1
2505.21179 v3

Coverage vector

measured 87 of 87 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:42:40.099901Z

measured 91 of 91 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T14:44:03.050392Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:37:03.121988Z

Reference resolution

87 of 87 outbound references displayed

  • verified exact1
  • verified fuzzy22
  • unresolved63
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b54f44b-4545-46fb-b897-1b964a48bb3b · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 1

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Observation 04f4ec63-320d-4073-8230-f8515d2c9760 · outbound

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

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models High-resolution image synthesis with latent diffusion models

Reference 2

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source=pdf_text observed=2026-08-07T13:42:34.621092Z digest=sha256:594235cae8425b8db12017213b72bca5903c940e02263a9331b5b61d13eb9aaa

Observation 7efe85fa-47a9-43e5-896c-97bad61d63bc · outbound

This paper cites Denoising diffusion probabilistic models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Denoising diffusion probabilistic models

Reference 3

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source=pdf_text observed=2026-08-07T13:42:34.705116Z digest=sha256:00aadf376e8c950f8a055f10a65c835563d567cfc8cd1ac1c6187e1607be36d1

Observation ccbcca55-bd12-4bc6-93b6-8257c67539ec · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Photorealistic text-to- image diffusion models with deep language understanding

Reference 4

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source=pdf_text observed=2026-08-07T13:42:34.792937Z digest=sha256:bf526cda77fe37f5c864ced671926faa918678b4e390341325328e03e38caa53

Observation 5529450a-25a3-4f96-9480-40296ef0ecdf · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Imagen Video: High Definition Video Generation with Diffusion Models

Reference 5

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source=pdf_text observed=2026-08-07T13:42:34.863935Z digest=sha256:faeb4ede8f35bc0bdd4e9f56306d18805861b7a209858e44428160828b2a4059

Observation 22a4c4d8-a21c-402f-81e2-a4492c995ad5 · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Wan: Open and Advanced Large-Scale Video Generative Models

Reference 6

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source=pdf_text observed=2026-08-07T13:42:34.878075Z digest=sha256:77ec79886d5c9fe59316fb6af739fd51e2ce7b78db9c8a0d53487404aec4678a

Observation ed388e4c-8e12-4523-9f42-63ac054fd82d · outbound

This paper cites SDXL-Lightning: Progressive Adversarial Diffusion Distillation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models SDXL-Lightning: Progressive Adversarial Diffusion Distillation

Reference 7

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source=pdf_text observed=2026-08-07T13:42:34.899025Z digest=sha256:b57af61b0d8012d76f08ca848002805b6d8ba7bcbe28200e28a0987310db2254

Observation 430db95e-017d-4f2f-8155-df99c8e59c18 · outbound

This paper cites NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training

Reference 8

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source=pdf_text observed=2026-08-07T13:42:34.916768Z digest=sha256:500443dceec85b3482e84587f04d285c43716a762182b5fd45b67b35a491c104

Observation 724f9fb2-8a33-4310-bb22-23de7eb85298 · outbound

This paper cites Classifier-Free Diffusion Guidance.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Classifier-Free Diffusion Guidance

Reference 9

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source=pdf_text observed=2026-08-07T13:42:34.937524Z digest=sha256:55ca26c7455f1ffb35522aa7c88b5e8857b4f6d61ae4343f1ed83a2c329edb3c

Observation b274d604-51d9-4ac2-9ed6-9e968d440aed · outbound

This paper cites Eliminating oversaturation and artifacts of high guidance scales in diffusion models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Eliminating oversaturation and artifacts of high guidance scales in diffusion models

Reference 10

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source=pdf_text observed=2026-08-07T13:42:34.964643Z digest=sha256:acc87ee7ca7b4222b62cc57bb62cf28776b3acdc3e9720bfae29ca09cb4ba931

Observation 3889c6c0-9845-44cd-998d-3f57f6fc8632 · outbound

This paper cites Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale

Reference 11

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source=pdf_text observed=2026-08-07T13:42:34.993476Z digest=sha256:59fbcc468e2c160746042d0258a281c3b3a9a27bae7c87d7349e4ff4d6e569b7

Observation 4ff542a7-ca6b-4c19-a7a5-274fec862962 · outbound

This paper cites Rectified diffusion guidance for conditional generation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Rectified diffusion guidance for conditional generation

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a2c1cc5b-0aef-4873-9bb0-56d2257270b1 · outbound

This paper cites Snoopi: Supercharged one-step diffusion distillation with proper guidance.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Snoopi: Supercharged one-step diffusion distillation with proper guidance

Reference 13

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source=pdf_text observed=2026-08-07T13:42:35.049431Z digest=sha256:7506b9a4230ab159a708e2c9e3338b6d0ab11b225865bbeaacbe54dee01bf70f

Observation 1a616d34-45bd-4555-b3ba-1a56f05f4ad2 · outbound

This paper cites Scalable diffusion models with transformers.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Scalable diffusion models with transformers

Reference 14

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Observation b946733d-f987-41d9-a6fd-fcee2a2fec90 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Scaling rectified flow transformers for high-resolution image synthesis

Reference 15

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Observation c200ff9b-115f-4614-b71e-7a6689929fa8 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Learning transferable visual models from natural language supervision

Reference 16

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source=pdf_text observed=2026-08-07T13:42:35.221046Z digest=sha256:fb441f46feea6f8aed3ee4f65ee2f7b809dffbb96ad1902cbf3d91857e3bb4c2

Observation 8458682c-a9c9-495f-9d32-0e50a53013b8 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilibrium.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Gans trained by a two time-scale update rule converge to a local nash equilibrium

Reference 17

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source=pdf_text observed=2026-08-07T13:42:35.270543Z digest=sha256:73a510cbf804ae98230cb42f1988237c5cc82220caa6dd0c79a9675ce4cdcfb8

Observation fa3b8846-aa24-414c-be2b-3126daad3331 · outbound

This paper cites Imagereward: Learning and evaluating human preferences for text-to-image generation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Imagereward: Learning and evaluating human preferences for text-to-image generation

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4359717a-5c6b-4b9f-abcc-5946fe17208f · outbound

This paper cites Diffusion models beat gans on image synthesis.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Diffusion models beat gans on image synthesis

Reference 19

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source=pdf_text observed=2026-08-07T13:42:35.385756Z digest=sha256:8cd0865c3684b8c0fa1f28a66e0ab9817762dbfc2e7b1274bfe81dbbf978d478

Observation afa0b65f-42d3-42b3-9f70-be000a9417d5 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 20

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source=pdf_text observed=2026-08-07T13:42:35.458619Z digest=sha256:9b7dca2994e1564ad92f8121a4086febea705490cc0f8b876fad727b346e70cd

Observation a48c735c-3dd2-44fd-be3d-f629a778b2be · outbound

This paper cites eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 21

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Observation 4c167792-71ca-4ecf-a776-7ab448baf7db · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 22

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source=pdf_text observed=2026-08-07T13:42:35.564597Z digest=sha256:0436553665901361863d97fb0bcfad6b930b016c771e776b74ed2733edd4ab9f

Observation eb1d2162-44e6-472b-91e8-ace61f52b47c · outbound

This paper cites Structure and content-guided video synthesis with diffusion models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Structure and content-guided video synthesis with diffusion models

Reference 23

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source=pdf_text observed=2026-08-07T13:42:35.692890Z digest=sha256:58d76efdeb5adae0a403380a53e12e0fd66d39550f60ce89c34904299c63c180

Observation d2d2576c-7d30-4c89-8ba5-055b9772c08f · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Align your latents: High-resolution video synthesis with latent diffusion models

Reference 24

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source=pdf_text observed=2026-08-07T13:42:35.783680Z digest=sha256:181bb7adb400841d6a5b8829fdb1a95cd4ba5454835382cb2307c8e501734f9e

Observation 799b7c26-e11e-478f-aff3-d0bfc7071a19 · outbound

This paper cites Photorealistic video generation with diffusion models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Photorealistic video generation with diffusion models

Reference 25

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source=pdf_text observed=2026-08-07T13:42:35.932162Z digest=sha256:65a7e3385d7b0b49d4fdb0bbd13216a81f9e5b3156f72da4165415ad0c59aa91

Observation 16cd9eae-972e-4f06-930e-a6be556d9a71 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Score-based generative modeling through stochastic differential equations

Reference 26

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source=pdf_text observed=2026-08-07T13:42:36.016170Z digest=sha256:5e9360feeaf2d7b2b21a9bd6addbea3a912a1ae390c268369e81984ac1409e1e

Observation ba572255-8ba1-4e5e-b02e-957776ec0469 · outbound

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

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Elucidating the design space of diffusion-based generative models

Reference 27

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source=pdf_text observed=2026-08-07T13:42:36.113009Z digest=sha256:7371c5e4f580d9f91709f3c6cc6b0d3db9105851840c9189336cc1e1cf8844ad

Observation 6166aff7-3cc0-4626-8b00-1f028fdd3afc · outbound

This paper cites Building normalizing flows with stochastic interpolants.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Building normalizing flows with stochastic interpolants

Reference 28

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.197559Z digest=sha256:ffa1a85ec395a2ac708f4cc91b620e922139ab19fbe57283b116e44a8dba9e3f

Observation 871289d9-81b6-41b2-9e2e-f8208bc175ee · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 29

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raw_fallback, observed 2026-08-07T13:42:48.856713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.273772Z digest=sha256:89815089dfb910e3b1381f12b42a8100a73d86ee6a5854ede58b8e5dde3eeeae

Observation 4ce30814-335b-4411-84c5-c0227596d835 · outbound

This paper cites Albergo, Nicholas M.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Albergo, Nicholas M

Reference 30

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raw_fallback, observed 2026-08-07T13:42:48.691994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.342020Z digest=sha256:f3a5cc4375243c40b2bff0d78f0811dfdce2ea5d6b7b968569379b7f8cb4a2d6

Observation 89bd3ded-0945-42b0-b3da-dd3ec6c80881 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.408463Z digest=sha256:621652e96763763e3d058b63c4c93436502b2d27b2f967712ea5ab54e18d25f4

Observation 205b3b4c-7b79-481f-be67-fdd0e88a16b9 · outbound

This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 32

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source=pdf_text observed=2026-08-07T13:42:36.458925Z digest=sha256:1ce4db08f1dac4d944d0e960f2099986cc6f2b81eddc85ba032305ff858d3271

Observation da07234a-9026-4d35-9c4a-b4f74f51e078 · outbound

This paper cites Flow Matching in Latent Space.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Flow Matching in Latent Space

Reference 33

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source=pdf_text observed=2026-08-07T13:42:36.555950Z digest=sha256:c9ea1b644526d2a2991db5bc4c054de8d5e1e3e0c7fb8ee09c243f8393563dd1

Observation 867d164c-b9cc-40e8-a7e3-1047efb90241 · outbound

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

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Instaflow: One step is enough for high-quality diffusion-based text-to-image generation

Reference 34

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raw_fallback, observed 2026-08-07T13:42:48.295584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.640519Z digest=sha256:1d69ff46b334fe20c3bcc9de89675e274ec29ce7a5651c9e06364dd94d630d42

Observation a217ea79-3cc4-4032-a2da-4fa1903181db · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.713715Z digest=sha256:5c1f8fb6ec9f2329773cbf36680745b8c0ac28e43c482b900bc495cbf7689daa

Observation a975b6bc-0b3d-4eb4-9efe-d2999427c260 · outbound

This paper cites Pixart-$\alpha$: Fast training of diffusion transformer for photorealistic text-to-image synthesis.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Pixart-$\alpha$: Fast training of diffusion transformer for photorealistic text-to-image synthesis

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.789328Z digest=sha256:65d1263e8b5e6a5c394d29bbcd92d06d237ac723c4811051833b7f09aadd2e1a

Observation 6aa7c631-c78f-4fbc-a423-e9be382acc5f · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 37

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no resolver link, observed 2026-08-07T13:42:36.858642Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:36.858642Z digest=sha256:96edc0a3967d8e6274a102c7a646bcf9792249f211dd0ea530ad9424f40058b8

Observation 5c9985a9-f60c-436a-9496-d462c89a3dda · outbound

This paper cites Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:36.902137Z digest=sha256:0481f11379700784488edb7cf1f93488a5bac44bc2fffea250eeb96950abfa34

Observation 8d25b664-d343-44b7-9efa-c2b375a88f8a · outbound

This paper cites Lumina-next : Making lumina-t2x stronger and faster with next-dit.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Lumina-next : Making lumina-t2x stronger and faster with next-dit

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-07T13:42:47.706418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:36.943380Z digest=sha256:4e6368e6b71e206aa811bb593112660d862a8c91f5ff410fc382a70ad260986c

Observation 016d783c-5b8b-4822-95c0-b997179a0a0f · outbound

This paper cites Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Lumina-Video: Efficient and Flexible Video Generation with Multi-scale Next-DiT

Reference 40

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no resolver link, observed 2026-08-07T13:42:36.996136Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:42:36.996136Z digest=sha256:8db9fb93acdf1c1096c717224f7c762a20c3e24449e88255d5ce475612827d87

Observation 7a866547-34fc-4eb1-aa43-483c4e3e2a1e · outbound

This paper cites SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T13:42:37.004797Z digest=sha256:49316cdd1697498119a8d2c94c5a0d1575935539a687d68b02fc4d0fe26b156a

Observation 7dc4840e-b1b4-410c-b2fd-f790301de2a1 · outbound

This paper cites Scaling vision transformers.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Scaling vision transformers

Reference 42

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raw_fallback, observed 2026-08-07T13:42:47.539935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:37.084517Z digest=sha256:255084561dbf17d20831633654b495f6945322028e20e5af76b9ecc1d2bb0d49

Observation f820f807-444f-487c-a0ff-071b271cba74 · outbound

This paper cites Scaling laws for diffusion transformers.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Scaling laws for diffusion transformers

Reference 43

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no resolver link, observed 2026-08-07T13:42:37.160250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.160250Z digest=sha256:71ce02a7f079404c3222f4f716ec0923d1efeff5e641611c198195e5704475e0

Observation 7c7dfcdc-cdc2-4dc4-85d9-b471c50cec55 · outbound

This paper cites Progressive distillation for fast sampling of diffusion models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Progressive distillation for fast sampling of diffusion models

Reference 44

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verified fuzzy
raw_fallback, observed 2026-08-07T13:42:47.351017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:37.211033Z digest=sha256:c551d0eacea06be98bf0784cdd992927068bad2d33cff8b86c73a0f71a6af82b

Observation b832fd08-4cb0-4f41-a7b0-11f2d3b559b6 · outbound

This paper cites Adversarial diffusion distillation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Adversarial diffusion distillation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:47.214410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:37.270406Z digest=sha256:b6c042f91f39242e6707c42316813503cf88d47c3622605f9b8541ba90d43dff

Observation a8afe51e-e9a5-4052-82f6-ea4f084284e9 · outbound

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

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 46

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no resolver link, observed 2026-08-07T13:42:37.345153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.345153Z digest=sha256:74ed416291d1155e798e12762a347fa10568cdb513a1cdeda4b54aff3618ba86

Observation 25b9619e-8363-47c5-86bd-64c4735885c9 · outbound

This paper cites Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Trajectory Consistency Distillation: Improved Latent Consistency Distillation by Semi-Linear Consistency Function with Trajectory Mapping

Reference 47

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no resolver link, observed 2026-08-07T13:42:37.425279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.425279Z digest=sha256:42766f2f8bc7e9e17afb7fc2ebe861064cb6eb99cb969e04a9276cfb7aa3654b

Observation 66e9734a-b472-4069-b334-821552a6cd62 · outbound

This paper cites Hyper-SD: Trajectory segmented consistency model for efficient image synthesis.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Hyper-SD: Trajectory segmented consistency model for efficient image synthesis

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:47.069299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:37.513767Z digest=sha256:12002872f46bf943c215fa8d13aa5692da632fe60bb99f953db2717540f0411c

Observation a092aa73-4fa3-4909-ab93-d793fdd7c030 · outbound

This paper cites One-step diffusion with distribution matching distillation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models One-step diffusion with distribution matching distillation

Reference 49

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no resolver link, observed 2026-08-07T13:42:37.580014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.580014Z digest=sha256:fa73845ec76c86e9f5cf1db6cdb9336c0adb30bad9129b729514cb01830f2709

Observation 49fa5ac2-71f4-4b1c-b0c1-bf2382c648ef · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Improved distribution matching distillation for fast image synthesis

Reference 50

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no resolver link, observed 2026-08-07T13:42:37.674306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.674306Z digest=sha256:5ffa4e2cddeb532f8c745601be473dd42a9086243c10c1691d9ba43f2be8808a

Observation 92830229-1091-4bc1-affe-2799b3a11ac6 · outbound

This paper cites Swiftbrush v2: Make your one-step diffusion model better than its teacher.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Swiftbrush v2: Make your one-step diffusion model better than its teacher

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:46.876917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:37.753424Z digest=sha256:89d9158ec8f43443d05e03e1a5c2b77d0bf45f0532b6954da3c385bc3edc7d1a

Observation db17a505-e019-450d-89eb-136380657e37 · outbound

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

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Fast High-Resolution Image Synthesis with Latent Adversarial Diffusion Distillation

Reference 52

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no resolver link, observed 2026-08-07T13:42:37.840756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.840756Z digest=sha256:8289b70b67326ca423012396498a59f6738a9168b5c6f60dd867b90fb7410f4f

Observation fbcfd4be-2c3f-4e1a-a659-b2daa8293515 · outbound

This paper cites Sana-sprint: One-step diffusion with continuous-time consistency distillation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Sana-sprint: One-step diffusion with continuous-time consistency distillation

Reference 53

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no resolver link, observed 2026-08-07T13:42:37.920187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.920187Z digest=sha256:529a39fbe09295bf8277ebed1e47dbcfb663233db78b3e46922209175d1e3e5b

Observation 1d4a2964-b9c4-425a-86a8-ce38667d2218 · outbound

This paper cites Diffusion adversarial post-training for one-step video generation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Diffusion adversarial post-training for one-step video generation

Reference 54

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no resolver link, observed 2026-08-07T13:42:37.997710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:37.997710Z digest=sha256:8d3128629aeb94d1ca5d97feedf0932bf34e0feff758afb479826181ac4ca193

Observation fa1a38e8-b823-43f6-92d3-428731accfe2 · outbound

This paper cites Analysis of classifier-free guidance weight schedulers.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Analysis of classifier-free guidance weight schedulers

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:46.745435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:38.092416Z digest=sha256:ae5caa1bc8e3f28e70a7f1d90c7d31b92003578b49c3e8b1ab3b04df2881a041

Observation 9e9e24f6-8b0d-46e6-b44a-3c81d9152381 · outbound

This paper cites CFG++: Manifold- constrained classifier free guidance for diffusion models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models CFG++: Manifold- constrained classifier free guidance for diffusion models

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:46.575913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:38.222531Z digest=sha256:c844432cdd0206dfdaec00b9846a797cc55236e5d30b8d322161273d96690041

Observation c5405d2a-f900-4b8a-8da6-6872183d72d4 · outbound

This paper cites CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models CFG-Zero*: Improved Classifier-Free Guidance for Flow Matching Models

Reference 57

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no resolver link, observed 2026-08-07T13:42:38.317537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:38.317537Z digest=sha256:a64be06b8ec4b8dcdfe1c029dc857369317e7b9ff971d5825ae43467d86c4b96

Observation 0f775046-af83-4005-8258-a3e170dff186 · outbound

This paper cites Improving sample quality of diffusion models using self-attention guidance.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Improving sample quality of diffusion models using self-attention guidance

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:46.405178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:38.439599Z digest=sha256:3572687ed86cdb433424489f9c8d3eb35eefa305d505c33b62f73d77cb4a516b

Observation 54967fff-335c-4dd7-8d65-ef4d47e42a7f · outbound

This paper cites Self-rectifying diffusion sampling with perturbed-attention guidance.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Self-rectifying diffusion sampling with perturbed-attention guidance

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:46.262479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:38.490147Z digest=sha256:f1f1fabeb09b5840ec4b6d17e17067e62338e220b08e0d0d30f9623d25ccbd15

Observation c9bee80e-2ca6-4779-87d9-e6ee4009104d · outbound

This paper cites Microsoft coco: Common objects in context.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Microsoft coco: Common objects in context

Reference 60

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no resolver link, observed 2026-08-07T13:42:38.570564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:38.570564Z digest=sha256:0f69222b8b8a5e3c71a91a872787037863762611660d7c29b21a1d904ea5aacd

Observation 35034661-6c0f-46ec-9fa9-9e8e437396f6 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 61

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no resolver link, observed 2026-08-07T13:42:38.649495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:38.649495Z digest=sha256:a21cf5aff39fa0e9726d54006447e6102e69a0ade58acd56bc80f4b3104e8aae

Observation 7e70c383-b80e-46c2-9259-e744a8128165 · outbound

This paper cites SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models SANA: Efficient high-resolution text-to-image synthesis with linear diffusion transformers

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:46.099514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:38.728648Z digest=sha256:64f6c6afb18616252801173077ef25956b5dbc4aec0a8cab23d06c56bc341ba5

Observation 2de8d800-b2f4-4034-a22f-207b4aa71a8d · outbound

This paper cites Flux.1-turbo-alpha.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Flux.1-turbo-alpha

Reference 63

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verified fuzzy
raw_fallback, observed 2026-08-07T13:42:45.960379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:38.821311Z digest=sha256:ab7b28deb4e7dfa14b12ef4a7de0c8875b5da17e6116cc4f23a63ea3d129db59

Observation fe2173b3-6885-4ad9-a772-b9dcd256255e · outbound

This paper cites Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image Generation

Reference 64

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no resolver link, observed 2026-08-07T13:42:38.876654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:42:38.876654Z digest=sha256:83723693b2f097d306be85b849d3b6c5af14cf3a4111794110adc46b6800b27c

Observation 723f5d6f-9f3c-44cd-86f4-5f676264d473 · outbound

This paper cites NAG” and the small words “Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models NAG” and the small words “Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models

Reference 65

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verified fuzzy
raw_fallback, observed 2026-08-07T13:42:45.813561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:38.961200Z digest=sha256:9369655701570ec9dad7ebab68804271f70e8be8fe71eaf668c842069016424a

Observation 89b3bdbe-94ae-4d19-9fe9-8f6061fade6f · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 66

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unresolved
raw_fallback, observed 2026-08-07T13:42:45.637242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.031794Z digest=sha256:11bb618aeb69f82759f3f4037a977d1699ac4f71b4d832286785be7d8851a789

Observation 3fc1ea83-6443-4dfe-add0-b45b1002ec25 · outbound

This paper cites The fox is made of polygons.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models The fox is made of polygons

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:45.456989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.114240Z digest=sha256:2cad6e629929498d1f1804a90958791bfa4d44c9040df0516df9f20814099608

Observation 4578952b-dc5b-4edf-8276-3cfc2be87f0d · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 68

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unresolved
raw_fallback, observed 2026-08-07T13:42:45.308278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.203389Z digest=sha256:7d318d6c15cea4e40b561b8abba35f94d73d398e733c534c9e76c8a4a8c8e4e9

Observation 747f5c98-f550-490d-ab89-26eae3b73c55 · outbound

This paper cites Cyborg bird.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Cyborg bird

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:42:45.148409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.268948Z digest=sha256:25f3469084e0cedcf9c5e891b92658c234e50a2ee055f5fc583b955b358a91e8

Observation c486eee1-48a8-478d-bcb7-b3ec37bed9ff · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:44.974433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.361678Z digest=sha256:e403b5ec3101a0e6bc64ab8d70a0cf97f977ada78bd8ec7b15a83ca8d7541ae4

Observation 499ebd91-896c-4d1e-8b13-3ad58e14b42f · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:44.789059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.451860Z digest=sha256:88ebc37e2efabc4f1fff3bc9d1ebd099886bce550f93e41928066686dd3cf54b

Observation 678083bc-be16-43d0-976d-1967747a24c7 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 72

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:44.657752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.531353Z digest=sha256:03f1c7ff977d20337eb711d13160893a3225bb0cf9f1a9bb8c202d8119ac0a1c

Observation 1aca6692-08de-466a-9373-48d649a17486 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:44.499958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.536787Z digest=sha256:ccf8c0d8e29b102537327ad7b011a91d77e82b650444f91b498415c154ade5b7

Observation 48520eea-9946-41a2-a0c4-563d1cc42a6f · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 74

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:44.314294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 21033531-95bc-40dd-99d5-163a85c6b2b7 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 75

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:44.162401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.601367Z digest=sha256:1c6caae54003398c5e95813e27b9695d7ca8075e0fb1fc593cc6c46f7e5716de

Observation 3954f141-16e4-4e19-932a-71f27b525aa9 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:43.979892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.625734Z digest=sha256:ba94ac5cf17a0aa9d707890126966e39205057aeb6cba2d8a7ac16695b31d6e0

Observation 4a2e8e35-6c8b-47e6-bfa7-781bfbc07dd8 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:43.771219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.660145Z digest=sha256:319edb60da5adf43b6e2230aba6a646b3f9fca5fcf042ef4b5e3c9185ced92d8

Observation c7e34fc6-a563-446d-92fe-6474818db1fa · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 78

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:43.580219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.687099Z digest=sha256:903258e46a3ba60aa2627a76495f39b34659beec5067c094ec11dd8dfae1d3c5

Observation 97706eb5-b4bf-4d11-8990-cf98d08011ff · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 79

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:43.385997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.718233Z digest=sha256:19b231b37ce0a4aa97ac6818d25dd5725c225254e772c399b0817c74575f5851

Observation 5c1ae936-d78a-41ab-895c-724fcd0e1d9f · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 80

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:43.158219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.748401Z digest=sha256:95dc568ffcd15e78bb3fc5c8bbf767619a73344433e4e30a013da40470986d42

Observation 7acc4344-2fb1-469b-ad28-a32579420d5e · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 81

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:42.933503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.794417Z digest=sha256:c5c5977908f02f0e82bf7dba62dd33c96abc6b283cb6af4cf6b5899ea0b62a93

Observation a5e24001-a57f-47d2-a1e3-aaf4cb0401f7 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 82

Resolution
parse uncertain
raw_fallback, observed 2026-08-07T13:42:42.653856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.850111Z digest=sha256:9724901cd5e416238291f64ae5f69e86c01c52cbabe176d321dcb9b5edd5daf6

Observation dcf4e2ed-ec7b-49d7-970e-fb5a961b2134 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:42.434049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.900787Z digest=sha256:682c2ad778cd71c4f1ae9c8f45a8a458c60e125aa8d493932b6c7fd9f9a956b4

Observation 55e644a0-53f8-485f-89f6-0ce42bc9f6bb · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 84

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:42.235253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.937840Z digest=sha256:5c09735256eae6fa85200fbc21cf7f3fe9f2ff9314f3033804ce321394f7dfae

Observation c0a82516-356d-45df-a109-fc928ee5d5ce · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:42.025691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:39.989967Z digest=sha256:734b726859526e46f54c53fe13d31d1893d6eb80cf964f9746632e00886130a8

Observation c559a8c7-f6a9-4306-8642-e4af26f8d0f0 · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 86

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:41.803401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:40.048006Z digest=sha256:f93d0375e0494c10beb448b9458877c6ad889ede38ead354114eec462a1f9ccb

Observation b46cf0dd-d7b2-46d3-9216-ad4015c6055d · outbound

This paper cites an unresolved cited work.

Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models Unresolved cited work

Reference 87

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:42:41.585849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T13:42:40.099901Z digest=sha256:57005362852303309f9549602fec263d97dc1ef7949621f655ab88257b1759b1

Pith citing papers

Observation 790861f9-52da-427e-adc3-92cbedaba624 · inbound

Not all tokens contribute equally to diffusion learning cites this paper.

Not all tokens contribute equally to diffusion learning Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:40:53.785559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:55:51.020912Z digest=sha256:e4f8f737fb5b229cf32eca2505955f41a7c9a31b755ee81288f3788ff0bed8f1

Observation d15d1ca8-8d33-47cd-bfed-8dad3040c2d5 · inbound

Orthogonal Negative Guidance in Attention Feature Space for Text-to-Image Generation cites this paper.

Orthogonal Negative Guidance in Attention Feature Space for Text-to-Image Generation Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:15.059554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T08:30:02.532832Z digest=sha256:2f9f575fcb06073612ac16bccb8e49ef662868adb259f98027f2d62246960dcb

Observation 388d1a1b-301c-4f95-9918-62f300ce82d8 · inbound

Not All Prediction Targets Keep Training-Free Diffusion Guidance on the Manifold cites this paper.

Not All Prediction Targets Keep Training-Free Diffusion Guidance on the Manifold Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T14:37:03.123281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T14:33:12.091631Z digest=sha256:7daf2e821e00df1c28fcbefc7e3703a609dfba503320dd96d4cbade6afa7cd07

Observation 264cc489-2207-45f9-8aff-038b8842aa41 · inbound

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts cites this paper.

MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts Normalized Attention Guidance: Universal Negative Guidance for Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-01T14:44:03.050392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:44:03.050392Z digest=sha256:989b36383da372887cfd49c8cf12ddb0b68d0d302e78799272eaa3c0de841f8a