Paper Citation Record · LEDGER

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models

As of 20 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2502.05807.

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

pith.paper-citation-record.v1
2502.05807 v2

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:58:33.240754Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

38 of 38 outbound references displayed

verified exact1
verified fuzzy25
unresolved12
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14775031-a95b-4775-8264-b170d1897439 · outbound

This paper cites write newline.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:32.704220Z

Source-reported events for the cited work

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Observation a07cce8c-299d-43cf-94e2-941064dcad34 · outbound

This paper cites an unresolved cited work.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:58:34.339917Z

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Observation af2d5fef-1c54-4ca8-8290-c50bd1b5e71a · outbound

This paper cites Automatic differentiation in machine learning: A survey.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Automatic differentiation in machine learning: A survey

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.191975Z

Source-reported events for the cited work

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Observation 2e860e00-100e-4e78-834f-70df5f9dd10d · outbound

This paper cites Neural ordinary differential equations.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Neural ordinary differential equations

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.137757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8335e1c4-8446-44b9-b613-a20499f347c8 · outbound

This paper cites A central limit theorem for generalized quadratic forms.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models A central limit theorem for generalized quadratic forms

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.124010Z

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Observation f0bb8d7d-25a6-4abe-9abd-9f724db01ad8 · outbound

This paper cites On analyzing generative and denoising capabilities of diffusion-based deep generative models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models On analyzing generative and denoising capabilities of diffusion-based deep generative models

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.111985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07e41ef8-8572-4b79-a5ac-4e906a9f7fd4 · outbound

This paper cites Score-based generative modeling with critically-damped L angevin diffusion.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Score-based generative modeling with critically-damped L angevin diffusion

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.099819Z

Source-reported events for the cited work

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Observation db1b0fd2-be5b-4afe-b40f-f8ddcc428503 · outbound

This paper cites A., Welling, M., and van de Meent, J.-W.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models A., Welling, M., and van de Meent, J.-W

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.087625Z

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Observation 8ccfc717-84c3-4169-99ac-5d10075251c4 · outbound

This paper cites Learning normalizing flows from Entropy-Kantorovich potentials.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Learning normalizing flows from Entropy-Kantorovich potentials

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-08T17:58:33.301133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0a72f3c1-ef76-44c5-ad1d-1bf82eb01f78 · outbound

This paper cites T., Bettencourt, J., Sutskever, I., and Duvenaud, D.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models T., Bettencourt, J., Sutskever, I., and Duvenaud, D

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.076753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bd627bc9-ffc5-4af9-bfd9-44b1b4deaba6 · outbound

This paper cites Denoising diffusion probabilistic models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Denoising diffusion probabilistic models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.012062Z

Source-reported events for the cited work

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Observation 671cf068-27de-4b76-a31d-cb2bb39781c4 · outbound

This paper cites an unresolved cited work.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-08T17:58:34.058191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5957b9ea-d8bf-419a-8966-48489cddeb85 · outbound

This paper cites On a formula concerning stochastic differentials.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models On a formula concerning stochastic differentials

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.046301Z

Source-reported events for the cited work

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Observation aeb9dc0d-d0e9-4aa1-840e-87957db576e9 · outbound

This paper cites L., Hosseinzadeh, R., Cresswell, J., and Loaiza-Ganem, G.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models L., Hosseinzadeh, R., Cresswell, J., and Loaiza-Ganem, G

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.034741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9fb78881-4d40-4ca9-b913-3655bd5b4a50 · outbound

This paper cites Diffusion models as cartoonists! T he curious case of high density regions.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Diffusion models as cartoonists! T he curious case of high density regions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:34.023210Z

Source-reported events for the cited work

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Observation ca073bd3-57f3-41ac-b436-bb6c91694db7 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Elucidating the design space of diffusion-based generative models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.143119Z

Source-reported events for the cited work

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Observation 883b6341-1516-4c3d-bf83-4048b42d729f · outbound

This paper cites Guiding a diffusion model with a bad version of itself.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Guiding a diffusion model with a bad version of itself

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.994457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5d230eee-2271-4b6b-9e29-7366ae154135 · outbound

This paper cites Analyzing and improving the training dynamics of diffusion models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Analyzing and improving the training dynamics of diffusion models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.855848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ed5705c-0b7a-4fd3-bae4-841920ad7091 · outbound

This paper cites Variational diffusion models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Variational diffusion models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.156652Z

Source-reported events for the cited work

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Observation f8084bff-81d6-4b02-8a89-686e1ae38c5b · outbound

This paper cites Flow matching for generative modeling.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Flow matching for generative modeling

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.777264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 145d6b1e-04d8-4273-8fd4-72ec7feeefe2 · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.165304Z

Source-reported events for the cited work

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Observation f116de0a-ed20-4c61-bab2-1d74c10be0bd · outbound

This paper cites completely blind.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models completely blind

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.758961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 065b5f6a-435d-4ca2-abbc-0349cc54383c · outbound

This paper cites W., and Lakshminarayanan, B.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models W., and Lakshminarayanan, B

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.748644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c5faeb73-e0d9-41d9-bf55-5c5faefb5855 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models High-resolution image synthesis with latent diffusion models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.179838Z

Source-reported events for the cited work

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Observation c32c24ea-e5ff-4131-8b3e-d31411a40cb2 · outbound

This paper cites M., Hasan, M.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models M., Hasan, M

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.732355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6ea95463-2b82-44e3-a0d2-4928dba672d5 · outbound

This paper cites Generating high fidelity data from low-density regions using diffusion models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Generating high fidelity data from low-density regions using diffusion models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.722146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e24c5d98-d61b-40c4-b4d6-296d83292d47 · outbound

This paper cites The superposition of diffusion models using the it\^o density estimator.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models The superposition of diffusion models using the it\^o density estimator

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.710838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ccffe88-6f49-47f6-8d54-5f6120f7a4ae · outbound

This paper cites Denoising diffusion implicit models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Denoising diffusion implicit models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.196837Z

Source-reported events for the cited work

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Observation c665ee46-178d-4bab-a1ba-53cb580a1706 · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models P., Kumar, A., Ermon, S., and Poole, B

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.201038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 490cde9c-d93a-4ae7-8c94-ceba9b782982 · outbound

This paper cites Consistency models.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Consistency models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.686206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52b85444-4503-4de8-bcae-0555d8f51e02 · outbound

This paper cites Improving and generalizing flow-based generative models with minibatch optimal transport.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.674517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9b97607a-005f-4f0a-8264-b91f67c66fd2 · outbound

This paper cites Score-based generative modeling in latent space.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Score-based generative modeling in latent space

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.663221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 31241d69-f9d9-4706-ac91-01b40355f568 · outbound

This paper cites Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Diffusion Models Generate Images Like Painters: an Analytical Theory of Outline First, Details Later

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.217080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfa45898-409e-4818-945a-39afffe84c6c · outbound

This paper cites C., Sheikh, H.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models C., Sheikh, H

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.651381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3295eb89-7a18-48aa-b5a1-23b1cd9344a3 · outbound

This paper cites Normalizing flow neural networks by JKO scheme.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Normalizing flow neural networks by JKO scheme

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.610928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b129d52f-3526-4ab5-9f66-a68da41b9440 · outbound

This paper cites Scalable stochastic gradient R iemannian L angevin dynamics in non-diagonal metrics.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models Scalable stochastic gradient R iemannian L angevin dynamics in non-diagonal metrics

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.527179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fa30326a-5202-4435-ada9-4754eb4b86ed · outbound

This paper cites A., Shechtman, E., and Wang, O.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models A., Shechtman, E., and Wang, O

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T17:58:33.233033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2afc7cd2-41ca-44ef-be10-da15c89cf670 · outbound

This paper cites V., and Ramos, F.

Devil is in the Details: Density Guidance for Detail-Aware Generation with Flow Models V., and Ramos, F

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T17:58:33.387556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.