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Paper Citation Record · LEDGER

Scalable Adaptive Computation for Iterative Generation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 inbound Pith citation observations for arXiv:2212.11972.

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

pith.paper-citation-record.v1
2212.11972 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:31:55.677229Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:11.399036Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3c269f33-307f-4d9b-a1bb-6944fc9905fd · inbound

Scalable Diffusion Models with Transformers cites this paper.

Scalable Diffusion Models with Transformers Scalable Adaptive Computation for Iterative Generation

Reference 24

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verified exact
arxiv_id, observed 2026-05-12T06:04:05.795086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T06:04:05.434354Z digest=sha256:67190f8748a0c4b1f5801cd15e21114644b9c44d85c2d395aa9e39ebe0b63eec

Observation 74e3e7a9-308f-4ce7-aa68-9ac270cafb64 · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Scalable Adaptive Computation for Iterative Generation

Reference 182

Resolution
verified exact
arxiv_id, observed 2026-05-13T13:43:11.260622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:7369559875a5166c9f9fe258311cac71b346c01ab65e25deff3a1aac34bc197f

Observation 2e13ff8e-5022-442d-aead-739b95b60d98 · inbound

Noise Controlled CT Super-Resolution with Conditional Diffusion Model cites this paper.

Noise Controlled CT Super-Resolution with Conditional Diffusion Model Scalable Adaptive Computation for Iterative Generation

Reference 10

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unresolved
no resolver link, observed 2026-08-07T20:31:55.677229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T20:31:55.677229Z digest=sha256:61591e5913d78892cbeb3da3a36dd26a25bef7ba68058e66058e1901fbd54587

Observation 7da076f7-d84a-4f1d-b0e5-f7f2503cd223 · inbound

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis cites this paper.

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis Scalable Adaptive Computation for Iterative Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T06:02:59.610007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:02:59.610007Z digest=sha256:52d4d00a994c175065fb7130357124665cd4ccd794a0d56209cceb6b434c2767

Observation e242faf2-26cb-4946-8fe9-035a1a2bd46f · inbound

Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value cites this paper.

Diagnosing and Improving Diffusion Models by Estimating the Optimal Loss Value Scalable Adaptive Computation for Iterative Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-19T09:07:14.114013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T09:05:58.516845Z digest=sha256:65421db6af44b64f6a78cade681c2d9c87d5226e01dcb00913a9d3cab3d9e331

Observation 99f9cf72-e359-4f95-bb98-ae00857729d3 · inbound

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization cites this paper.

DMQ: Dissecting Outliers of Diffusion Models for Post-Training Quantization Scalable Adaptive Computation for Iterative Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T16:42:12.007995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:42:12.007995Z digest=sha256:2a3932234011c329c45cc1eca53694dbc8832185a72ee8f4cf3273e179a2950f

Observation 1baa3565-ea4d-4f45-8ac4-b275d4721aa4 · inbound

PixNerd: Pixel Neural Field Diffusion cites this paper.

PixNerd: Pixel Neural Field Diffusion Scalable Adaptive Computation for Iterative Generation

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T10:59:53.896912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:59:53.896912Z digest=sha256:eca2e16dab4f98686f0ef53fc7bd42bce458f806cd5f1572ef241a6243568314

Observation 3835e5fa-ee8d-4fd9-b7cd-1e6261f2c6cd · inbound

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation cites this paper.

DeCo: Frequency-Decoupled Pixel Diffusion for End-to-End Image Generation Scalable Adaptive Computation for Iterative Generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T05:49:08.241613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T05:47:24.669763Z digest=sha256:49e4382886143e61c769a38b9e67f7f6ef64a3c35d398d49883f228fd49548b3

Observation 6b9c539e-fd14-451c-b761-35959c8aebef · inbound

Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders cites this paper.

Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders Scalable Adaptive Computation for Iterative Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T01:25:18.304484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:25:18.304484Z digest=sha256:0af96664960aedc7db70f0353891514c3e6b6cb3e4db9d734d26ec1e3be91559

Observation 0050edb3-e990-415a-8e74-975c180c22dc · inbound

MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models cites this paper.

MetaState: Persistent Working Memory Enhances Reasoning in Discrete Diffusion Language Models Scalable Adaptive Computation for Iterative Generation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-02T19:44:42.432229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:44:42.432229Z digest=sha256:afc62b5c9441b8de2fa36ab7e1729be570cee6d807da7c128fb2d854fb05180a

Observation 9ae25f64-a695-455e-87d1-89529c0326b7 · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Scalable Adaptive Computation for Iterative Generation

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:05:59.990944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T17:19:22.543462Z digest=sha256:facd4187880ed1c72ac67168e3da427725a8fbdab718dde2b661e5a9230c5559

Observation b1964b8e-ceb1-4258-8638-0a17a0e7624c · inbound

ELT: Elastic Looped Transformers for Visual Generation cites this paper.

ELT: Elastic Looped Transformers for Visual Generation Scalable Adaptive Computation for Iterative Generation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-02T16:35:03.247150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T16:35:03.247150Z digest=sha256:51b3447f3fabc94f1c3f8ba77d4510f9db16c175eb2fd1abd18a2737ed7252ce

Observation ba8e6616-b57f-49e5-afa6-a6a6e395e471 · inbound

Normalizing Flows with Iterative Denoising cites this paper.

Normalizing Flows with Iterative Denoising Scalable Adaptive Computation for Iterative Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T13:11:17.860385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T02:11:31.246200Z digest=sha256:e84df2c20d807f5ca028057bdb9a291eb067d295cac5e73053d2616a4226e7da

Observation 696a2798-cfd5-490b-8410-14097ee96448 · inbound

Efficient Diffusion Distillation via Embedding Loss cites this paper.

Efficient Diffusion Distillation via Embedding Loss Scalable Adaptive Computation for Iterative Generation

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:19.531374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T12:49:42.621881Z digest=sha256:00b0d314eb401fd7afa7f6f2f29bccdd620cfe3a85bd0ee50f24b13abd86aafe

Observation d4d980cd-8969-4fbb-b88b-f96f6371738a · inbound

Linearizing Vision Transformer with Test-Time Training cites this paper.

Linearizing Vision Transformer with Test-Time Training Scalable Adaptive Computation for Iterative Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:25:48.563801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T18:25:48.672665Z digest=sha256:72bd121ccce05270f6dabd6f6978d733fd4ca6e253a65ff3c9f8d2fca3bb229e

Observation 2c4e5e07-cb23-40a3-9557-e42054f2dd11 · inbound

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Scalable Adaptive Computation for Iterative Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:08:53.961757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T19:08:26.689023Z digest=sha256:eb00ceed77a84ee164c0250bd1030834c4d366f1317eb31923aa20b76f84f7f0

Observation bffda385-3662-4a7e-be6c-b00fe86664b5 · inbound

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion cites this paper.

HyperDiT: Hyper-Connected Transformers for High-Fidelity Pixel-Space Diffusion Scalable Adaptive Computation for Iterative Generation

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:35:00.969566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T19:33:53.876614Z digest=sha256:882cf5d136f182a663be3cdc24c781f04ec4e55801f66bff5d56ab6879a433c4

Observation 1252e0a1-abb4-44f5-b287-596e88fb9359 · inbound

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion cites this paper.

FrequencyBooster: Full-Frequency Modeling for High-Fidelity Pixel Diffusion Scalable Adaptive Computation for Iterative Generation

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:48:17.673991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T12:43:58.746650Z digest=sha256:96812bdf5c3420156259788a9d606f30060a52794ed375d03eaea3a8a0770396

Observation d44e948c-d690-4cf1-a097-4e60d979f621 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Scalable Adaptive Computation for Iterative Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T12:03:15.308372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T11:59:54.139888Z digest=sha256:d6c2f2997721e8ef9d354019fe5fd3ef7a0143f44734960fd4bc616101e09842

Observation 78004070-6054-47bf-8e16-b127e8c4b892 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Scalable Adaptive Computation for Iterative Generation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:15:01.317682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T18:39:40.667006Z digest=sha256:1287e6a8e0d9a010b123d83c55ed36214eecd8f33d0e841a315261ed0bcc315a

Observation d2940524-ebbd-42f2-8f10-3f022706e001 · inbound

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation cites this paper.

SRC-Flow: Compact Semantic Representations Enable Normalizing Flows for Image Generation Scalable Adaptive Computation for Iterative Generation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T13:49:19.094512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:49:19.094512Z digest=sha256:75ebffef6b79f2f4394ce0e04c9bbe254dc5fd747c3fdcd8fd8f09ed3b3259e4

Observation 399d34a8-7b87-4e6f-9248-84d9f875e20b · inbound

Surflo: Consistent 3D Surface Flow Model with Global State cites this paper.

Surflo: Consistent 3D Surface Flow Model with Global State Scalable Adaptive Computation for Iterative Generation

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:38:29.198568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T06:58:59.111924Z digest=sha256:d0d198ed5ae47622f7d9b5a90162da031ad3b457b6320b420a2bdfbef59c125b

Observation ae5e0251-d241-448d-96e4-0db15ed33b96 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation Scalable Adaptive Computation for Iterative Generation

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:50:11.400664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-25T19:34:02.046104Z digest=sha256:fd91e2c9373101f087390870ad9c97f6a31b169145884c4bd2b677c90323a345

Observation 4ebca8ea-148d-4fa6-8e60-a1f554dca91d · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation Scalable Adaptive Computation for Iterative Generation

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:35:40.194921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:27:24.992386Z digest=sha256:39b35f64ad034b6a8072ce493edb989e3c925a2f1a49be639ceafe6027f5e9f4

Observation b37a4156-246e-4cb5-b1c6-934358d826d0 · inbound

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation cites this paper.

MIMFlow: Integrating Masked Image Modeling with Normalizing Flows for End-to-End Image Generation Scalable Adaptive Computation for Iterative Generation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-07-12T12:07:02.175855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T12:07:02.175855Z digest=sha256:9a41eb68005941993c9445c62086204da4f76be9019d3045488c0163455ca8b8

Observation 55bc1db9-b9a4-4944-aef3-921eb7daf9d7 · inbound

PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion cites this paper.

PixelU: A U-Shaped Transformer for Efficient End-to-End Pixel Diffusion Scalable Adaptive Computation for Iterative Generation

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T20:03:57.208637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T04:31:57.169935Z digest=sha256:8055a89446651cb914bbf44de97c2fcfdb93e43c97ab94b0641f167e636fb343

Observation 67ccbaa9-8dd6-4124-9f04-a3ff445e9b10 · inbound

WaiT for the Signal: Simple Frequency-Aware Flow-Matching cites this paper.

WaiT for the Signal: Simple Frequency-Aware Flow-Matching Scalable Adaptive Computation for Iterative Generation

Reference 20

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unresolved
no resolver link, observed 2026-08-03T00:34:35.454714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:34:35.454714Z digest=sha256:34a0e4f367eca192118de3c03f94ba75940dda9690625f9b2f373a6d24d199f4

Observation 6b3847a8-1136-4877-8294-64b49fd294bd · inbound

A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples cites this paper.

A Frozen Pixel-Space Diffusion Model Can Guide Itself with Its Own Samples Scalable Adaptive Computation for Iterative Generation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-03T13:23:48.364442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T13:23:48.364442Z digest=sha256:4faaf151617af209ea5a29a0eb23bafc5f9d8a28245123fdbdbac443e3422620

Observation 0a317b97-3a8a-4c00-92c6-8d2abcc3e652 · inbound

SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents cites this paper.

SPAE: Spectrally Guided Autoencoder for Pretrained Visual Latents Scalable Adaptive Computation for Iterative Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T00:24:08.490727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T00:24:08.490727Z digest=sha256:e71e0826644d1881f10004617b954f1b8d649f38e8f3ccc58f99b065f25b36b3