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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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

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=sha256:60c0f4226742008b4d28a261952d0aa0a910c65c7bd2bfed53f3ff62594970bc

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:f6742c09bbc74679c8443f2172bf4c5f85f2fb9ee57abab05301ff70331cdd44

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:fde4aaae3e8bce6094c9104bec71e31565c16e341bc6ec3695b50b8201f8a3f9

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:ae05e3a6de6d2555672457580ae2b99257a2007b82a3875091f0679160c0668a

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=sha256:83f340b2fe6d214be12203c63eb870c838c52903a33998b675d9abc08bd3bc31

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=sha256:1ff7d52a1a1fe70ea7d27c645a70c7f76172dbd7ef776f5380e62d4844fb7d71

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=sha256:8341c0a48f4ba5f5132040b5dc95aa0e211afa1c8ccb764a3e3a305375aa9745

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:c520a0f1de3365953e9fe2819ee04f2e7a00dc0e2c2294193a90804c5b2f5780

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:aa813a3b7332ed2471ef1f35cc265e5d68349b94f53c90906c55cc51f7dd0d3f

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=sha256:740ae8d8eaec0eda1423c7f822eda9a34eff2990e12a9f87c487037eb3bae0ca

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=sha256:10099155efa074202cbd6b14ed0cd3014a8c49de309e6137b63495d17340dd82

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=sha256:147f79298ffbeefe59d14ea11a8429536382977cf9157727afb7958717379fb6

Pith citing papers

No inbound Pith citation observations are available.