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Paper Citation Record · LEDGER

DivControl: Knowledge Diversion for Controllable Image Generation

As of 19 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.23620.

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

pith.paper-citation-record.v1
2507.23620 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:38:58.730670Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

36 of 36 outbound references displayed

  • verified exact2
  • verified fuzzy21
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6aca2a9f-dbf2-47ee-804d-bc3e525102b7 · outbound

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

DivControl: Knowledge Diversion for Controllable Image Generation eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers

Reference 1

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no resolver link, observed 2026-08-06T10:38:58.427687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.427687Z digest=sha256:d50f5cc8d7c66e1b53aa7d68b30f083cf830c8fbd9a9901a44d22e4f95dee4f2

Observation 76a6eb17-c4ec-41e1-a857-98167f458569 · outbound

This paper cites Pixart-δ: Fast and controllable image generation with latent consistency mod- els.

DivControl: Knowledge Diversion for Controllable Image Generation Pixart-δ: Fast and controllable image generation with latent consistency mod- els

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.765572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.436454Z digest=sha256:2d9fb63605f3ea78ecadb1154347f16e091b8198e9ba980bf177d98aeab367c2

Observation 9ded8e08-6ac3-44f8-8618-35f3f93c7383 · outbound

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

DivControl: Knowledge Diversion for Controllable Image Generation Scaling rectified flow transformers for high-resolution image synthesis

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 316fc8f1-9344-4b69-a310-8ccf5bc02e64 · outbound

This paper cites Genes in Intelligent Agents.

DivControl: Knowledge Diversion for Controllable Image Generation Genes in Intelligent Agents

Reference 4

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verified exact
local_arxiv, observed 2026-08-06T10:38:59.890013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.461572Z digest=sha256:40e9f72fce15ef33800b5f94ecda86a107133f6f12fbea868c52838aba1cc274

Observation e362e2d5-c9cb-42fe-a390-a398783315ea · outbound

This paper cites Transferring Core Knowledge via Learngenes.

DivControl: Knowledge Diversion for Controllable Image Generation Transferring Core Knowledge via Learngenes

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.472085Z digest=sha256:a456bf1bd91663a44762f31f19dabc38bf9aa10b76da00054e4364383e37e3d8

Observation b36c48c4-40b4-400a-b643-b889901131a2 · outbound

This paper cites Wave: Weight template for adaptive initialization of variable-sized models.

DivControl: Knowledge Diversion for Controllable Image Generation Wave: Weight template for adaptive initialization of variable-sized models

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.665862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.483181Z digest=sha256:5ad7bbae63e13261c69c88b0927dced8c6352a7797182a1c2b0c1c02f868cfeb

Observation 7668f524-db56-4825-b354-bf744c7cdc27 · outbound

This paper cites Lora: Low- rank adaptation of large language models.

DivControl: Knowledge Diversion for Controllable Image Generation Lora: Low- rank adaptation of large language models

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.623207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.492500Z digest=sha256:b1132cf2e8cb7b7f6ee1ce55117ecf2ac282df1bfa7a74607ff1d4e33a4badb9

Observation 19bbadfe-bdab-46d2-9079-03668153207d · outbound

This paper cites Cock- tail: Mixing multi-modality control for text-conditional im- age generation.

DivControl: Knowledge Diversion for Controllable Image Generation Cock- tail: Mixing multi-modality control for text-conditional im- age generation

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.589038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.500451Z digest=sha256:4637cf8f78f382f898048829762591645674f6892519a8af77b6ddfa56b8e9d6

Observation 8b53fa5e-3904-41ee-ac00-451defb7de94 · outbound

This paper cites No other representation component is needed: Diffusion transformers can provide representation guidance by themselves.arXiv preprint arXiv:2505.02831,.

DivControl: Knowledge Diversion for Controllable Image Generation No other representation component is needed: Diffusion transformers can provide representation guidance by themselves.arXiv preprint arXiv:2505.02831,

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.509408Z digest=sha256:aad146bc09377752a1cf25d3840c87d9cec26afa638133dd03461eb0cf3ae232

Observation e76b5926-2638-48cc-8b10-5d989cc60811 · outbound

This paper cites Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers.

DivControl: Knowledge Diversion for Controllable Image Generation Repa-e: Unlocking vae for end-to-end tuning with latent diffusion transformers

Reference 10

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no resolver link, observed 2026-08-06T10:38:58.520480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.520480Z digest=sha256:eb32d8eaef8695f3dfafd1bd7f5ce5245190679223312cdd989ba44f1e7c122f

Observation 2d36e14f-b0b0-48c1-aabb-3b7512115856 · outbound

This paper cites Microsoft coco: Common objects in context.

DivControl: Knowledge Diversion for Controllable Image Generation Microsoft coco: Common objects in context

Reference 11

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raw_fallback, observed 2026-08-06T10:39:00.557928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.529933Z digest=sha256:2e004136a3a8e7a5d63abe6f85b19a380ce9bdd231d2393647d555a84973c33e

Observation 429abe53-6905-41f8-bfbe-fabd14ca3f39 · outbound

This paper cites Midjourney.com.https : / / www.

DivControl: Knowledge Diversion for Controllable Image Generation Midjourney.com.https : / / www

Reference 12

Resolution
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raw_fallback, observed 2026-08-06T10:39:00.519896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.538864Z digest=sha256:e2ebb8ffb3269bf525251dc9371cbb9d1ad26ffb20282179db9cbf2cbdab66d0

Observation 177d7722-2b5b-4f88-8024-39af998e4fef · outbound

This paper cites T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models.

DivControl: Knowledge Diversion for Controllable Image Generation T2i-adapter: Learning adapters to dig out more controllable ability for text-to-image diffusion models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.489892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.547409Z digest=sha256:d0401161b44609ded22135d7c0a1834f77c3d5c2be835d42cbd4bbf53c527ba8

Observation b8fb9e60-6c5f-43a2-9a2d-561beb154fae · outbound

This paper cites Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models.

DivControl: Knowledge Diversion for Controllable Image Generation Glide: Towards photorealis- tic image generation and editing with text-guided diffusion models

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.464720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.559548Z digest=sha256:6bc8c5c04e00328cd1a89eee3bb8cf7a58c09c7c9a62b3cd75e242f40e631ad0

Observation bbd92bbb-177e-4fa0-b268-d357801adb63 · outbound

This paper cites Gpt-4: Openai language model.https:// openai.com/research/gpt-4, 2023.

DivControl: Knowledge Diversion for Controllable Image Generation Gpt-4: Openai language model.https:// openai.com/research/gpt-4, 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.434554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.566257Z digest=sha256:7d1b20788e818b87fa45d5e8851a5b983aaff9e56d34ada79382b9bfc647cd22

Observation 1bf08e88-870b-4b17-808f-7d11364fb52b · outbound

This paper cites Dinov2: Learning robust visual features without supervision.

DivControl: Knowledge Diversion for Controllable Image Generation Dinov2: Learning robust visual features without supervision

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.398050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.574997Z digest=sha256:50cd84df3a790b873148427b061d1b0e51c4dbf030a2e68eb4896d5275ecad78

Observation 77e75656-29eb-4e5d-b117-e417c8193d47 · outbound

This paper cites Scalable diffusion models with transformers.

DivControl: Knowledge Diversion for Controllable Image Generation Scalable diffusion models with transformers

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.349995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.585025Z digest=sha256:86d5b207b09dde87402c3f264ce644552a0a7ed38a8c6a85e5c4289f45fdf423

Observation 0cad65bc-5989-424c-8da4-27770c91923f · outbound

This paper cites Unicontrol: A unified diffu- sion model for controllable visual generation in the wild.

DivControl: Knowledge Diversion for Controllable Image Generation Unicontrol: A unified diffu- sion model for controllable visual generation in the wild

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.316371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.590233Z digest=sha256:f462a4be00b532714ea813cf01e88e2bafeec5598c3b9e17b826f8a9511e3bb4

Observation 29da431b-eb68-44af-9d89-910f0645e728 · outbound

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

DivControl: Knowledge Diversion for Controllable Image Generation Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.595739Z digest=sha256:0a57f52b1c9628faa6e8c38988bd8441c04d75ab2ba96d509de74c857e2cc2e0

Observation d91a5cef-2e36-4441-81e9-d8199750f3ad · outbound

This paper cites Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021.

DivControl: Knowledge Diversion for Controllable Image Generation Scaling vision with sparse mix- ture of experts.Advances in Neural Information Processing Systems, 34:8583–8595, 2021

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.284514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.603128Z digest=sha256:04132e29f277f6326e052f92f8d443cf939274dff5b95a7c6cd5bfed2bd44807

Observation 1cd9ff29-e214-42ac-bd64-845fe691c7c8 · outbound

This paper cites Flux.1-dev-controlnet-union-pro.https: / / huggingface.

DivControl: Knowledge Diversion for Controllable Image Generation Flux.1-dev-controlnet-union-pro.https: / / huggingface

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.253647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.608248Z digest=sha256:754a88a299f44ac124531965b4606bfcfaa4aaa0b4bf8cebb32e7186337688a3

Observation b9335c02-2ec7-4d34-98ca-75e73cc2b9d7 · outbound

This paper cites FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning.

DivControl: Knowledge Diversion for Controllable Image Generation FAD: Frequency Adaptation and Diversion for Cross-domain Few-shot Learning

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-06T10:38:59.286693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.613164Z digest=sha256:3874c618526b035f1a3cbf925af30a78b491ea5a4e7c7cc1fff5d6d01c85dc69

Observation 23500b25-e2bb-40cc-975c-a0c38ff33bfb · outbound

This paper cites OminiControl: Minimal and Universal Control for Diffusion Transformer.

DivControl: Knowledge Diversion for Controllable Image Generation OminiControl: Minimal and Universal Control for Diffusion Transformer

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T10:38:58.619436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.619436Z digest=sha256:be1054e290e2f75cc3bfbca2d7245bf8a820bbae2092e3ff83a71ffbb635d937

Observation fe4cd55e-b910-4463-a6e4-1207f1b39158 · outbound

This paper cites U-repa: Aligning diffu- sion u-nets to vits.arXiv preprint arXiv:2503.18414, 2025.

DivControl: Knowledge Diversion for Controllable Image Generation U-repa: Aligning diffu- sion u-nets to vits.arXiv preprint arXiv:2503.18414, 2025

Reference 24

Resolution
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no resolver link, observed 2026-08-06T10:38:58.627082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.627082Z digest=sha256:1a08e6a414012d32444f210791cd79a19914c0cad9b231beb86d7df64462143e

Observation 7e65079f-a5dc-4e78-a0c3-372d494ea611 · outbound

This paper cites UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer.

DivControl: Knowledge Diversion for Controllable Image Generation UniCombine: Unified Multi-Conditional Combination with Diffusion Transformer

Reference 25

Resolution
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no resolver link, observed 2026-08-06T10:38:58.639607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.639607Z digest=sha256:6e32c4d78b81765c33e05974abffa3609c14a4a41bcc878e67dc0f3fa576bfe7

Observation 7d67bfb4-7c6e-43ba-bcb9-97fabdcd7a74 · outbound

This paper cites Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts.

DivControl: Knowledge Diversion for Controllable Image Generation Auxiliary-Loss-Free Load Balancing Strategy for Mixture-of-Experts

Reference 26

Resolution
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no resolver link, observed 2026-08-06T10:38:58.646353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.646353Z digest=sha256:09b7fdf81c33af39c7a8526e89d2562dae1732f975a8bae4588ccd19a48ab5a0

Observation 1498b4f1-fd6c-4529-b0b8-007f5686ea6b · outbound

This paper cites Learngene: From open-world to your learning task.

DivControl: Knowledge Diversion for Controllable Image Generation Learngene: From open-world to your learning task

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.209570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.657553Z digest=sha256:240b47eb46e5fa712931c3471914f602f00b935b44bdf2715698102b5028c7c0

Observation 287f4a56-b248-4b73-83bb-62420efcabd1 · outbound

This paper cites Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models.

DivControl: Knowledge Diversion for Controllable Image Generation Learngene: Inheriting Condensed Knowledge from the Ancestry Model to Descendant Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T10:38:58.666296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.666296Z digest=sha256:355d7b4d43e5cf3f3582c5c35574b900bbdc8e6f15d9b4dc08261fbf9daf781b

Observation 98d64a78-9c74-4499-8967-b71d6434e2e2 · outbound

This paper cites Representation entanglement for genera- tion: Training diffusion transformers is much easier than you think.arXiv preprint arXiv:2507.01467, 2025.

DivControl: Knowledge Diversion for Controllable Image Generation Representation entanglement for genera- tion: Training diffusion transformers is much easier than you think.arXiv preprint arXiv:2507.01467, 2025

Reference 29

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no resolver link, observed 2026-08-06T10:38:58.675650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.675650Z digest=sha256:912f894db2c910e8f90263a0e9ca8da39fcaf6bba58cbef488c4e48b874d1c18

Observation 6c1c4673-6ae9-4570-813e-1157e980081a · outbound

This paper cites Kind: Knowledge integration and diversion for training decomposable models.

DivControl: Knowledge Diversion for Controllable Image Generation Kind: Knowledge integration and diversion for training decomposable models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.178357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.683087Z digest=sha256:973d19e0a298423669eb317b73c8528883835c7e276eddaa9e2ffd9846d4b21b

Observation affa2964-b8da-412f-a5ae-d7ba4cb8d26d · outbound

This paper cites CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation.

DivControl: Knowledge Diversion for Controllable Image Generation CtrLoRA: An Extensible and Efficient Framework for Controllable Image Generation

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T10:38:58.689345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.689345Z digest=sha256:852b6bc9b67ecf8ceb82ab541af9015fec75f1e746fe7cfb8a47e84961eddb93

Observation 9e18ce95-f526-4dff-b1b0-d259e142818a · outbound

This paper cites Representation alignment for generation: Training diffusion transformers is easier than you think.

DivControl: Knowledge Diversion for Controllable Image Generation Representation alignment for generation: Training diffusion transformers is easier than you think

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.130906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.699213Z digest=sha256:54b20449606317bbe8df31b5892a3f7aba1a7528f723693dc71687a750064add

Observation 38d8dc23-3c0e-4161-9cf2-6e1bab272caa · outbound

This paper cites Controlnet-xs: Rethinking the control of text-to- image diffusion models as feedback-control systems.

DivControl: Knowledge Diversion for Controllable Image Generation Controlnet-xs: Rethinking the control of text-to- image diffusion models as feedback-control systems

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.095016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.705993Z digest=sha256:65b6bacbcb0adba8405a34be4322968f3a4014cab4aeb880cb953a81a1589600

Observation ddd5b1d1-43f5-4ce7-82dd-71acf5bc99c8 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

DivControl: Knowledge Diversion for Controllable Image Generation Adding conditional control to text-to-image diffusion models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:39:00.063116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.715077Z digest=sha256:c964ec209531b8814076b2f3c6c934ac0e207dda4941d03c814f8fb7b7019050

Observation efdf6f94-464d-46a6-a3bd-fac7d73eee1a · outbound

This paper cites Uni-controlnet: All-in-one control to text-to-image diffusion models.Advances in Neural Information Processing Sys- tems, 36:11127–11150, 2023.

DivControl: Knowledge Diversion for Controllable Image Generation Uni-controlnet: All-in-one control to text-to-image diffusion models.Advances in Neural Information Processing Sys- tems, 36:11127–11150, 2023

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T10:38:58.723536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:38:58.723536Z digest=sha256:ed716cb8f68a371a6d76d003b132a251554a8cfb24094a0bf78bea42ac82605b

Observation da43c0fa-5f82-4b35-9673-0bb76ec90a13 · outbound

This paper cites Mixture-of-experts with expert choice routing.Ad- vances in Neural Information Processing Systems, 35:7103– 7114, 2022.

DivControl: Knowledge Diversion for Controllable Image Generation Mixture-of-experts with expert choice routing.Ad- vances in Neural Information Processing Systems, 35:7103– 7114, 2022

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:38:59.977127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-06T10:38:58.730670Z digest=sha256:478b58931933a064e3732074bcb495587122ae6be614d214278bf676b8b1424f

Pith citing papers

No inbound Pith citation observations are available.