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Paper Citation Record · LEDGER

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 0 inbound Pith citation observations for arXiv:2507.11554.

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

pith.paper-citation-record.v1
2507.11554 v4

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:54:46.016601Z

measured 84 of 84 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

84 of 84 outbound references displayed

  • verified exact4
  • verified fuzzy6
  • unresolved73
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ea5e775-ad16-48c8-8cee-be667c2fcf09 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 0bc66741-7574-4c03-9a57-74362dc2fe4b · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 2

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Observation 56fd1199-416f-43c5-88d1-01609f2cea6e · outbound

This paper cites Training Diffusion Models with Reinforcement Learning.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Training Diffusion Models with Reinforcement Learning

Reference 3

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Observation 5f7408c9-0af8-48ac-a40a-58c306190799 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 4

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Observation 6b6b3fa3-2faf-4ee0-8111-16428e5e454b · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-06T17:54:45.720979Z digest=sha256:0bc1f7e5b452a18b311a78aa8488c6851c88b224f2794f5082c8b88b0985a81b

Observation 674c6596-15e6-40f1-8fcf-43b62960a7f5 · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 6

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source=pdf_text observed=2026-08-06T17:54:45.724628Z digest=sha256:0dad41b139919b135384e2508bd56cc0a70445979ebdbef35df4525010cca306

Observation bffca2c4-09ec-4052-97b0-c882cab99e42 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 7

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Observation 65b95e3e-73d8-442c-96f7-be94c1df57b4 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6b944c76-6186-40cf-b51e-9bc2fdea1f0b · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 9

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Observation 5f3d2189-c6ec-40de-888e-4436ab410774 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 10

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bab2a577-6d6e-4f87-8ef4-6e9aaf1e2bee · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 11

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Observation 5f7b2fe5-faf1-470a-98a1-b358b3591fc8 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 12

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 947ad4f1-9b61-4efa-bf36-74261f4a2557 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 13

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 5d8aa88f-1853-46c6-9b85-d864c6564c6e · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 14

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation f7b03a9a-493f-4003-b928-5ded66cd877f · outbound

This paper cites GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Reference 16

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Observation ae6fbce8-78d3-4272-8be4-3be5300ab841 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 64217d31-b3cf-41e6-b67b-895806101e4f · outbound

This paper cites ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

Reference 18

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Observation 36ee8384-7d7d-480f-8fb7-8bb61ae9d1ab · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 48c636dd-a9ee-4e67-a141-e9344e0912ce · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 21

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Observation 65947e69-20bb-433e-87f7-814dcb8f3331 · outbound

This paper cites RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment

Reference 22

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Observation 7a143520-5fe8-4e5f-8c1c-1167a7fee77b · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation bb6cc93d-a464-4fa2-8c2a-f6f6f13d067e · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 24

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0a3f367f-6527-4aff-b933-5cce056948b0 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 25

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Observation 860a8f99-0a20-4e5c-9a3e-74e18e8f8fb7 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 26

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Observation 4c11e237-7c04-420e-acdb-091aba480187 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 27

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Observation 2adb0126-b837-4588-8beb-482034884c0c · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 28

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Observation 91f8ca70-cc8b-429d-a5d6-c42d9bdbc794 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 29

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Observation d0d4460d-02ca-4fc3-9515-de7412ced293 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation df7408fd-27c2-4457-b7f9-ae574b7f88db · outbound

This paper cites LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations

Reference 31

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Observation 90faaaf1-219c-419e-9442-83fa932805e2 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation ab1c7732-9397-4f3f-8d79-0f73a6069d34 · outbound

This paper cites Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Aesthetic Post-Training Diffusion Models from Generic Preferences with Step-by-step Preference Optimization

Reference 33

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Observation 30d42e7a-03d2-4007-b789-2865afd003ed · outbound

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Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 4514c2cc-4e2a-461f-9f33-fda18536d380 · outbound

This paper cites Tenenbaum.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Tenenbaum

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dfbc473d-86e5-40b8-9960-7d7fb380ff5d · outbound

This paper cites Decoupled Weight Decay Regularization.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Decoupled Weight Decay Regularization

Reference 36

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Unavailable: canonical work link unavailable.

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Observation e336ca65-c898-4363-aa51-74825e76d3be · outbound

This paper cites InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models InPO: Inversion Preference Optimization with Reparametrized DDIM for Efficient Diffusion Model Alignment

Reference 37

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 8a141ff1-1f8c-4fd5-a84f-c97254b6ab74 · outbound

This paper cites Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Smoothed Preference Optimization via ReNoise Inversion for Aligning Diffusion Models with Varied Human Preferences

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fe7fd433-5869-4a30-8edb-5003b477f258 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 39

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unresolved
raw_fallback, observed 2026-08-06T17:54:47.133275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 7af19977-0135-4e8f-af25-b564fa180060 · outbound

This paper cites In European Conference on Computer Vision.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models In European Conference on Computer Vision

Reference 40

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.852232Z digest=sha256:f73493dd64990fe0617be2b7ffe2d958638839273d6b3c79e174fb3fd0c7fcae

Observation d20b3de3-5b78-430c-9937-ac617a657322 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.122572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.877753Z digest=sha256:658c76b7e568503b32e5c5975fcbb0b2c7b21b360aadf1136f1a326505862911

Observation d9badb13-0dda-42d9-be73-cab9688477ab · outbound

This paper cites Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Peter Welinder, Paul F Christiano, Jan Leike, and Ryan Lowe

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:47.112234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.881106Z digest=sha256:a5a0202fd7e0271f6973ef011548c4f401372d390387c76b12cfaffaf31e249b

Observation b97a7dad-f6e3-4429-8f31-022db2e4bbb4 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.884544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.884544Z digest=sha256:43a7e9bb0d6d7827df45dadf82875d2e54d7a3f66580e301596c0880e6337285

Observation 098d4455-4b7c-4207-a55c-9927b325faf6 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.102110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.888453Z digest=sha256:745db6c4759c51d8e3e56bd58407a2ec91fca7b9c1c5c058caba991bd680c9df

Observation 4d890d6c-2379-4db6-b99d-62a24f66e814 · outbound

This paper cites Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.870587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.870587Z digest=sha256:0e7b4861c3d85ed970d00f845963dab1d184d21230985784dd8eaf09dd6b819e

Observation 9f2c8cbd-e949-42a4-a7af-d4862717baa6 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.874535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.874535Z digest=sha256:d99be590aad7fbf657a23c154c8a2a977c068ce829346b8668535a8cad15e103

Observation a8f7c5df-5514-4c74-ac46-63edb9ff45a8 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.080152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.902784Z digest=sha256:f863dd9b23f56663754fa77b10e4d9b028770b98a42d4016b41169795b588317

Observation 7277e3f3-c1d4-4e37-8ff0-270f700c5a46 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.070506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.906785Z digest=sha256:16ddc19884714d0e3991e926d5916580510b0579b5601151a4d4f57d5097eef9

Observation 5bef1de0-9d72-4e1d-a98b-d15d092e2760 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.060562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.911362Z digest=sha256:6411adabdec6de5e2b405b765adca542f04547381432cfd4494468e7f96db7a2

Observation 8c05fdaa-d3f6-4019-bd38-b359833aede2 · outbound

This paper cites Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Adafactor: Adaptive Learning Rates with Sublinear Memory Cost

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.914862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.914862Z digest=sha256:f0182210773c18a567f8efec61bc4b3f9a1cb6896ba48ac408e4315bc14f2ecb

Observation ad592139-60c6-466e-b90c-2c52959bdca5 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.892089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.892089Z digest=sha256:2cf2e2bbbaeca4ddfb1902e9d1e7cd1058be477627655afc91cb1173edb9d53c

Observation 9360ca40-554f-4e48-80e2-c8a167147d4b · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.895514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.895514Z digest=sha256:8076a65c6677f2f2b4840b6ef2fc2d952ba6d08712eb2ee00e21f3ab323ad889

Observation c8f8fca2-9ac8-41b2-9bf3-db1c7b831698 · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.899118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.899118Z digest=sha256:33f1758443eb6241dd958711a68cbbdcd86bec75a8b648329955de69737fd213

Observation 55a4df91-4533-4512-98d5-026d4c2a737f · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.030370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.930457Z digest=sha256:a53bd7745394e5f1ee44db270076937fbb4079741ed960710cf7bbdbbd0dc760

Observation a297d69f-bba5-4bdf-b165-3fd21ad901ff · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.019915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.937554Z digest=sha256:0a89c1618421deb10f5a88081df6946c2c47825cd889ab86911ddb77f02ffe5b

Observation 4571a963-b151-43dd-9e2f-b0045884fc39 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 56

Resolution
malformed identifier
no resolver link, observed 2026-08-06T17:54:45.941007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.941007Z digest=sha256:279f6b56a7d927541e80a903d05f0a8cfc3cc15d5fec2cbb51895359e51dc9f5

Observation 9044d7bc-4742-44a1-9e3b-7f8eeaca35c2 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.009683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.944221Z digest=sha256:d221d84ed121334e1de45ffcd2c16f6cccba2dc05c650459ce84596388e491e1

Observation 2bdf48a0-b4f6-4e46-8e32-0c804f1d51c1 · outbound

This paper cites SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.918990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.918990Z digest=sha256:3383f509b51bead5f1f751fe105281d2122c5b74796c336b4213ae13ac3b2e92

Observation 8134bc5a-f48c-43ab-aae5-b58ef3f778c9 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.050902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.922770Z digest=sha256:3a076de28919afcd3e051ec6fefd57ac4dfec446d57dec2c6aa4a1386b50abc4

Observation 2811e003-503a-41ee-9097-02f3edb8f68f · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:47.040760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.926322Z digest=sha256:9c909ac7b03dd134cd4a7b65f30a2c1a248171b618e526567b98653b105aada7

Observation 7310a310-f0fc-4809-9c8d-3e9051a4b916 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.977387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.957276Z digest=sha256:7ada605946987562510b3f65bdb1975c88e278458f1b62256c05b46bcfb3ec26

Observation 86a2a273-bc55-45ec-adcb-fa286c12a4df · outbound

This paper cites Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.933964Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.933964Z digest=sha256:121e04bf0e63cad8d92f514ebde17cf7cdb2610b7a42f139d203ce3aff6637e5

Observation 8235f5b8-7a6d-45df-bef1-4216843223dc · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.955690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.963665Z digest=sha256:1035e2523c4e61c8948208a60c1f586ed53d9963606382bd0c0a9778a1422dc9

Observation e3ea5343-2136-444d-9bf5-2cb1891bf806 · outbound

This paper cites Jaakkola.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Jaakkola

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:46.944914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.966852Z digest=sha256:42089372395b39056ad5d288040c0ad554d83ff6d359f798a97736d1b0ee4a41

Observation de22f1e3-0b02-4993-a757-3026762f4ced · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 65

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.933178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.970264Z digest=sha256:d0d5ce5c19e92360d654ca86a3bcdfebd9277cfaf5ffe64f253f13623f5223c8

Observation 29842ec0-6097-46be-ad1f-3d019c5ee9f6 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 66

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.999370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.947887Z digest=sha256:326fb44fe0d23a276dc947bc98ec2a5b2577150a7ebe170075dd6b5edbeca8af

Observation c48c4205-9af5-4585-bae9-3786bb0841d5 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.988435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.950976Z digest=sha256:8297091103d92298b4755ca228af508d68c9aadb5918f7faeaaac81af76271e1

Observation 88d704b8-9aee-404d-8c74-c1455903056d · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.954201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.954201Z digest=sha256:88e3d0a136324be8b9311e47b41fa01e76730a1daecb076e86e5923a23812c32

Observation dda0fe2b-2de4-4eec-8655-0b1dd1c6a57f · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 69

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.892117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.987338Z digest=sha256:1ba400145f848865b223be6c6564492cb9093e1865c7a10cd7160e8b03fc253d

Observation e8432bdb-45ff-44b0-a377-be31246f25fa · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 70

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.966109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.960518Z digest=sha256:5f8af5ab60c76448a1ee8d9aacc0c6021ca7f6709174ac850f0bf1a5f0f251db

Observation 84e4110a-6b7d-4a20-b180-0f8a2f10518e · outbound

This paper cites IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.994380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.994380Z digest=sha256:41b8e730d48ccddd142f509d0efc2dccfc08c0f907fe823b4d8e2aa67099e704

Observation c42190a0-bec5-4abe-abb8-59599320b1a8 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 72

Resolution
verified exact
raw_fallback, observed 2026-08-06T17:54:46.228732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.998150Z digest=sha256:9fcf979daba6651529c0ab53afc05a2b2bad5c6776f465168ad39dddec917f05

Observation 2a2b8b48-3950-419a-8cb3-22311660f228 · outbound

This paper cites MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models MIGC++: Advanced Multi-Instance Generation Controller for Image Synthesis

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:46.001389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:46.001389Z digest=sha256:ba46b3f46d3d854c9acdd40bb8d8012b9784c01330704e5bf80cd1b004c58eee

Observation e0537e5a-d46d-4278-94d3-c6b80a97d95c · outbound

This paper cites Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Diffusion-Based Scene Graph to Image Generation with Masked Contrastive Pre-Training

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.973987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.973987Z digest=sha256:2fa628dc02aedad1f3563d41c6947befd44bb4a9b8872fe530c34ed8e029eda6

Observation 82e53b1e-4797-45cf-b317-621272528784 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.977456Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.977456Z digest=sha256:c5ee9261bc8f3a8643cbb8636e1a8fbef48a67c0e581dadbdc8579bd4a9e333a

Observation 66ff28aa-7def-48a2-9db7-c96a35289914 · outbound

This paper cites In Proceedings of the 41st International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models In Proceedings of the 41st International Conference on Machine Learning (Proceedings of Machine Learning Research, Vol

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:46.915438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.980733Z digest=sha256:c4e8c0cb30d65c588e25260f88f6c80c06fb33d1217d3525ef7f06aad2386730

Observation 0bd8e3b1-eb12-4764-b686-cea3aebb8fa2 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.903578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.984116Z digest=sha256:f6f913cbb8b0a43438bf5af617648feb60627ac67a71a554b78943f01c322601

Observation 9c59f979-4ab7-4988-b259-d1af31b4b372 · outbound

This paper cites RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.990595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.990595Z digest=sha256:05f8c701ecb3cb65481fbe8ca7265c914f505d60c8b6acf0b3e614aa9ea4bb50

Observation 5802ff5d-1a73-4639-8cc2-8bdf714141a2 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 83

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.881280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:46.004864Z digest=sha256:af5e5fe6da01e38c18ad3fdb000f5adeb8076189ad2af8926fc26aee8651ce86

Observation a5e7f815-fffc-45c5-a114-232a3c3a43b7 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 84

Resolution
verified exact
doi, observed 2026-08-06T17:54:46.870837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:46.008687Z digest=sha256:fb24fc536466f52e768d16dfb2da463eb7e492db38b70ad1684b80fbff7c8749

Observation 5ce5c4d6-69d9-48a7-a1b1-7d7cfa01be92 · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 85

Resolution
unresolved
raw_fallback, observed 2026-08-06T17:54:46.860390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:46.012885Z digest=sha256:9cf4a2a767ec05bcc9c497acb8263f459c68ffa331c955362db25a2d2ba86917

Observation 56b2d825-72fc-4506-bf1f-807eaf3f117c · outbound

This paper cites an unresolved cited work.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Unresolved cited work

Reference 86

Resolution
verified exact
raw_fallback, observed 2026-08-06T17:54:46.131756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:46.016601Z digest=sha256:57b08eae8f1fe7144ec5906c52dab39604ae790c9a0be2b9d26033cc43dfff36

Observation a25e4452-7949-4eb7-b8d9-7bb95ef6209d · outbound

This paper cites International Journal of Computer Vision 123, 1 (2017), 32–73.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models International Journal of Computer Vision 123, 1 (2017), 32–73

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T17:54:47.206672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T17:54:45.818319Z digest=sha256:18aa29e9d8cc3a2e1f843dbd88f87dcfb0cba5d222d26951dba0876a9b203ea5

Observation f4d8258d-cef0-461b-a208-25361aa80073 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.709473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.709473Z digest=sha256:a1ce83c0418bed3cad0c5f8cd6c5b1cee0c2198f22c888aeb0a801233e82863c

Observation c47eedb2-9716-40be-a319-9502542f3eb5 · outbound

This paper cites In Proceedings of the 32nd ACM International Conference on Multimedia (MM ’24).

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models In Proceedings of the 32nd ACM International Conference on Multimedia (MM ’24)

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.792701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.792701Z digest=sha256:90bc2e08c150fd3fc5835433924d1edcc1d1e14291de0a39ca9048a00038df91

Observation 283b817d-846f-43d6-8a91-24bb76b12251 · outbound

This paper cites Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T17:54:45.737141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:54:45.737141Z digest=sha256:0be330fcd092773728584b47d1ef7b3bb8b51c1aa7b486a52f78182ee5d9861d

Pith citing papers

No inbound Pith citation observations are available.