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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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:c201d366fb48bc58a40aca4897f907a74ba90136d91a92ef4f30f33c8e6f6e4d

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:c7e20fed16c5ead7362445209c32d58699e9d85b8a0d1134b634f7791410eb39

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=sha256:6996193e9e0a1483a0d94acdd3ab919ea67d2f93aa8949c659329ae1bd705788

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=sha256:315e979349e333627f19263a82dd029512a1135c1c2a56137d3f2e61b0048dbe

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:e3ab33b3d0ca8c8df9af2cc5f0e73c8385b32e738be95b2e244beeb7445009c4

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=sha256:8925d3e1ed2ec27a13a458ec730d5eaa49f2fafcebe619bfad248bdaa2e3a29f

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=sha256:478676a3d4a09ca63302446cc72a42997afd400c9a2ca56e675fcabd2c52c9c1

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=sha256:3f142608f7b1996d2db6a6221d3be31fd6cb0a75de13f4a631da69bdc01deb23

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:ee4bd71ae4b71cbfb449f93bc2ce60023f7d4a9b42a8109c32c43438f19cab2b

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=sha256:19129b47fe8cc99806e822b1f1efb452da3e786c2163da8bd594154df306d41f

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=sha256:1b8b75d18f8d9465ad71c7432f8338250687be06ec83bc3ecacb3ae0ddb6f312

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=sha256:7df4de6cc857a452603c10fbbd1829a708a597a0f9c34d5026454bcaca984f9e

Pith citing papers

No inbound Pith citation observations are available.