Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:49:45.789759Z
Paper Citation Record · LEDGER
As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.12306.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:49:45.789759Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
39 of 39 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 1b32a886-f268-407a-9216-161c3b301bda · outbound
Diffusion Product Quantization A Note on the Inception Score
Reference 1
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Observation 5fd80bfc-e2be-4658-beab-ffd54a0d8da2 · outbound
Diffusion Product Quantization Language Models are Few-Shot Learners
Reference 2
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Observation edabddd9-7ce7-481c-88c4-0ecf076ce7e6 · outbound
Diffusion Product Quantization Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
Reference 3
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Observation 2d56e794-b4dc-466e-95a6-07be8897c5dd · outbound
Diffusion Product Quantization Diffusion models in vision: A survey
Reference 4
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Observation 41f3c4d6-168d-432a-ac0a-6411fca8a3cc · outbound
Diffusion Product Quantization VQ4DiT: Efficient Post-Training Vector Quantization for Diffusion Transformers
Reference 5
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Observation 4c6810cf-70df-4f83-84af-29e7e746c585 · outbound
Diffusion Product Quantization Diffusion models beat gans on image synthesis
Reference 6
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Observation 9a1a0b10-cbe1-420c-9dfb-9ec27ad47d35 · outbound
Diffusion Product Quantization Extreme Compression of Large Language Models via Additive Quantization
Reference 7
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Observation 1b1e46be-91c7-44ca-b8e5-af9f86dc66aa · outbound
Diffusion Product Quantization GPTQ: Accurate post-training quantization for gener- ative pre-trained transformers
Reference 8
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Observation 448539b4-47bd-4ed0-a8fc-05307fda2c90 · outbound
Diffusion Product Quantization Opti- mized product quantization for approximate nearest neigh- bor search
Reference 9
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Observation da99cbc4-2f93-4d4a-a488-285b5d94cbb6 · outbound
Diffusion Product Quantization Unresolved cited work
Reference 10
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Observation cb395b14-ebd3-4dbd-b1ec-31e23d85e131 · outbound
Diffusion Product Quantization Generative adversarial nets
Reference 11
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Observation 8a7c8b00-8298-4d07-8362-523d67f84b22 · outbound
Diffusion Product Quantization Deep residual learning for image recognition
Reference 12
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Observation 72404646-d600-4ec2-801d-788d2be42296 · outbound
Diffusion Product Quantization Ptqd: Accurate post-training quantization for diffusion models
Reference 13
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Observation 829ef7d6-d8e3-4464-acf0-008fef204d32 · outbound
Diffusion Product Quantization Denoising dif- fusion probabilistic models
Reference 14
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Observation 5e343748-088b-460f-9aab-b4ee5c606638 · outbound
Diffusion Product Quantization Cascaded diffu- sion models for high fidelity image generation
Reference 15
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Observation 884e8f5b-280a-48e0-9622-e5d211f9fcd1 · outbound
Diffusion Product Quantization Estimation of non- normalized statistical models by score matching
Reference 16
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Observation f0ffc860-3fbb-4667-9ea8-a4b9f14cb9d4 · outbound
Diffusion Product Quantization Prod- uct quantization for nearest neighbor search
Reference 17
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Observation 11c9c129-648e-4e6f-a3ac-06467452a36f · outbound
Diffusion Product Quantization Large memory layers with product keys
Reference 18
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Observation 63026efd-7916-436e-ab41-85b6b3356e7d · outbound
Diffusion Product Quantization Q-diffusion: Quantizing diffusion models
Reference 19
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Observation 44f19be8-88e9-427d-b9ed-869a526a7fdc · outbound
Diffusion Product Quantization Awq: Activation-aware weight quantization for on-device llm compression and acceleration
Reference 20
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Unavailable: canonical work link unavailable.
Observation 0aa432b3-064d-4a9a-9aba-c150cc95a0d9 · outbound
Diffusion Product Quantization Permute, quantize, and fine-tune: Efficient compression of neural networks
Reference 21
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Observation a3dd0aa2-fa59-45ea-bf38-6cd82ff141fa · outbound
Diffusion Product Quantization Dit-3d: Exploring plain diffusion transformers for 3d shape generation
Reference 22
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Unavailable: canonical work link unavailable.
Observation d19b0cb9-ded1-48d0-93ac-c7785436c8dc · outbound
Diffusion Product Quantization GLIDE: towards photorealis- tic image generation and editing with text-guided diffusion models
Reference 23
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Observation fca591a9-f03a-4a92-96c8-45819bbb7eef · outbound
Diffusion Product Quantization Cartesian k-means
Reference 24
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Observation 73c2572a-2057-44be-9e7b-a188ef2854df · outbound
Diffusion Product Quantization Scalable diffusion models with transformers
Reference 25
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Observation 0c78eabc-4945-4117-b7a4-a09569f171fe · outbound
Diffusion Product Quantization Learning transferable visual models from natural language supervi- sion
Reference 26
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Observation bdbb1037-f69b-467e-83b7-09986b9d1150 · outbound
Diffusion Product Quantization Hierarchical Text-Conditional Image Generation with CLIP Latents
Reference 27
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Observation 6dc1cf58-1086-43b6-bbf1-632420c5a663 · outbound
Diffusion Product Quantization High-resolution image synthesis with latent diffusion models
Reference 28
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Observation 0cf7297c-2103-4194-b50f-97e5355ef05a · outbound
Diffusion Product Quantization Efficient content-based sparse attention with rout- ing transformers
Reference 29
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Observation 1747705c-c030-44b6-a9d1-03ba26a980a9 · outbound
Diffusion Product Quantization Improved techniques for training gans
Reference 30
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Observation 9cc0576f-191f-4ecc-9ac5-07ee8beb244a · outbound
Diffusion Product Quantization Post-training quantization on diffusion models
Reference 31
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Observation 82ca985b-0b0e-42b7-a2e1-0ac91e491c73 · outbound
Diffusion Product Quantization Deep unsupervised learning using nonequilibrium thermodynamics
Reference 32
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Observation e7e5fb57-1bcd-48db-8109-6d9254a8416f · outbound
Diffusion Product Quantization Denoising Diffusion Implicit Models
Reference 33
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Observation 0b0c6ae3-c51a-4053-8ad2-69d4d62b3cc9 · outbound
Diffusion Product Quantization Generative modeling by esti- mating gradients of the data distribution
Reference 34
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Observation 7bcccae1-bb92-4570-b606-fe2e550d40cc · outbound
Diffusion Product Quantization Score-Based Generative Modeling through Stochastic Differential Equations
Reference 35
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Observation fea70554-b300-4bf2-9458-ac7c02c1f6da · outbound
Diffusion Product Quantization And the bit goes down: Revis- iting the quantization of neural networks
Reference 36
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f6311aaf-0b51-436d-9fa9-18924762d0fc · outbound
Diffusion Product Quantization QuIP#: Even Better LLM Quantization with Hadamard Incoherence and Lattice Codebooks
Reference 37
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Observation d74173bc-0759-4a89-9613-dd263127b561 · outbound
Diffusion Product Quantization GPTVQ: The Blessing of Dimensionality for LLM Quantization
Reference 38
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Observation eae230a1-dbf9-43ba-899e-c54704651aa5 · outbound
Diffusion Product Quantization Open-sora: Democratizing efficient video production for all, 2024
Reference 39
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No inbound Pith citation observations are available.