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Paper Citation Record · LEDGER

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models

As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.17972.

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

pith.paper-citation-record.v1
2607.17972 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:33:35.539175Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved10
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 067ddee3-4a83-4943-89aa-2e4c6088c389 · outbound

This paper cites Generative Adversarial Networks.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Generative Adversarial Networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:34.445884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:34.445884Z digest=sha256:ef73cea2c01be782e5bf14eb64edcbc532f3937416da15f6346b9d8c8d62e699

Observation 381f18d0-cf60-4782-89d1-3f744ee93ce4 · outbound

This paper cites Auto-Encoding Variational Bayes.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Auto-Encoding Variational Bayes

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:34.670685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:34.670685Z digest=sha256:152d0751ff822fa823c2440aacbae394e184324f45250302f6f67d5be158e8bf

Observation 489150d0-eacf-4fb5-8a70-514b7a1f32c5 · outbound

This paper cites Li, W., Song, Z., Zhou, H., Yu, J., Zhang, Y ., and Yang, W.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Li, W., Song, Z., Zhou, H., Yu, J., Zhang, Y ., and Yang, W

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:34.829729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:34.829729Z digest=sha256:f9c28f4d56c1b0665a28236cafd7a4bef4506d6b848c32d323e0f7e4446932ec

Observation c97a09f1-b1e4-4141-90c6-afa947c003a9 · outbound

This paper cites Lin, S., Liu, B., Li, J., and Yang, X.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Lin, S., Liu, B., Li, J., and Yang, X

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:34.948700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:34.948700Z digest=sha256:119632a1203c4d45b7d26ee88fd82b1d16f39571100c91c4c517900a40fc87ab

Observation 1251628c-3a0a-448d-b0d5-d762fca492a7 · outbound

This paper cites Podell, D., English, Z., Lacey, K., Blattmann, A., Dock- horn, T., M¨uller, J., Penna, J., and Rombach, R.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Podell, D., English, Z., Lacey, K., Blattmann, A., Dock- horn, T., M¨uller, J., Penna, J., and Rombach, R

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:35.218140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:35.218140Z digest=sha256:50b15dc7018a8b73c3cd49ec756789820847ba56dfdf7131bed79e010ec231f9

Observation 4a395ebf-00d9-40a8-bb5c-f1bb50559752 · outbound

This paper cites Fast Diffusion Model.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Fast Diffusion Model

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:35.305464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:35.305464Z digest=sha256:161a76a37bc07e8f13f8abd02a6dd13e1333d8f3945e7c7b818e5e67b6f007ef

Observation 2ccb4cc0-5e9a-4a4f-8d8c-61d048f5c9ac · outbound

This paper cites Zhang, Q.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Zhang, Q

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:35.416733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:35.416733Z digest=sha256:471f5084c61e1c83c73a24d4037fc1ee5c75cbc132fe4976c7bfca29136640ef

Observation b1edbdb8-4da5-439d-aef0-1a4d6fa85bb9 · outbound

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

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:35.070459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:35.070459Z digest=sha256:672094158b9645ee0ea27fb2f570401434c548189677194ff4f54e6b0aabb14a

Observation 68028723-bbf4-46a9-b6c1-dcd66feb86e3 · outbound

This paper cites Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Adversarial Score identity Distillation: Rapidly Surpassing the Teacher in One Step

Reference 2023

Resolution
malformed identifier
no resolver link, observed 2026-08-01T16:33:35.539175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:35.539175Z digest=sha256:72fa880952abf096c523654ce07ecf29f0ed4b90f3819a05a99abb5b476f0750

Observation cb125b22-a28c-42cd-ab4b-945f04c2b280 · outbound

This paper cites Bao, F., Li, C., Zhu, J., and Zhang, B.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Bao, F., Li, C., Zhu, J., and Zhang, B

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:33.930849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:33.930849Z digest=sha256:c61453796768cc750dee6fe96ec91acac937be25623d5bb0564b4e0e0f41e879

Observation e8395f15-9727-4503-90cd-0a3c520b5a62 · outbound

This paper cites Bansal, A., Chu, H.-M., Schwarzschild, A., Sengupta, R., Goldblum, M., Geiping, J., and Goldstein, T.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models Bansal, A., Chu, H.-M., Schwarzschild, A., Sengupta, R., Goldblum, M., Geiping, J., and Goldstein, T

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-01T16:33:33.844613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:33.844613Z digest=sha256:99e336ca945f7c9887ee2ad81472063f832d77d490394a5acc544e1b5dc184d0

Observation 11405c56-15af-4202-bcd2-2e416504be01 · outbound

This paper cites doi: https://doi.org/10.1016/j.

DiFA: Inference-Time Forward-Process Alignment for Diffusion Models doi: https://doi.org/10.1016/j

Reference 2026

Resolution
malformed identifier
no resolver link, observed 2026-08-01T16:33:34.190139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:33:34.190139Z digest=sha256:835cde5e09df6843eb054a3f97114bbc151cf7b7310de533dba0aff6585446f7

Pith citing papers

No inbound Pith citation observations are available.