Paper Citation Record · LEDGER

D-Flow: Differentiating through Flows for Controlled Generation

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2402.14017.

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

pith.paper-citation-record.v1
2402.14017 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:02:47.317396Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T10:19:47.274516Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fac69ed6-ec94-4a8c-adf0-0c73882f4008 · inbound

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

Inference-Time Scaling for Diffusion Models beyond Scaling Denoising Steps D-Flow: Differentiating through Flows for Controlled Generation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:45:17.664848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation aca9b8f2-108a-4124-aa45-6e5e60e34639 · inbound

A Variational Perspective on Generative Protein Fitness Optimization cites this paper.

A Variational Perspective on Generative Protein Fitness Optimization D-Flow: Differentiating through Flows for Controlled Generation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T21:02:47.317396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f863aa6e-d6c1-465b-91bb-b7bb83d256e1 · inbound

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation cites this paper.

Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation D-Flow: Differentiating through Flows for Controlled Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:35.594552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17462dfc-a565-4b60-ac5a-6e1fcfd39ad1 · inbound

Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering cites this paper.

Diffusion Sampling Path Tells More: An Efficient Plug-and-Play Strategy for Sample Filtering D-Flow: Differentiating through Flows for Controlled Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:52:50.733001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bf3e654-42de-46ff-916b-371eda800c8a · inbound

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real cites this paper.

ADEPT: Adaptive Diffusion Environment for Policy Transfer Sim-to-Real D-Flow: Differentiating through Flows for Controlled Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:37:23.385902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c73df71e-bdaf-4335-8ea0-7237c07d1a0e · inbound

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior cites this paper.

Moir\'eXNet: Adaptive Multi-Scale Demoir\'eing with Linear Attention Test-Time Training and Truncated Flow Matching Prior D-Flow: Differentiating through Flows for Controlled Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:46.543569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c4bdfe5-d307-4394-a3a6-e598c9bbe30e · inbound

Energy-Based Flow Matching for Generating 3D Molecular Structure cites this paper.

Energy-Based Flow Matching for Generating 3D Molecular Structure D-Flow: Differentiating through Flows for Controlled Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T16:11:16.866550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c77edac9-4737-4c06-9b9e-b399200f3ed0 · inbound

Saving Foundation Flow-Matching Priors for Inverse Problems cites this paper.

Saving Foundation Flow-Matching Priors for Inverse Problems D-Flow: Differentiating through Flows for Controlled Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:40:15.041740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2b960543-0043-45ca-860a-762ab7a5a88e · inbound

FlowSteer: Conditioning Flow Field for Consistent Image Restoration cites this paper.

FlowSteer: Conditioning Flow Field for Consistent Image Restoration D-Flow: Differentiating through Flows for Controlled Generation

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T17:51:50.963485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd762d03-3109-4a04-92ed-d991ea5af001 · inbound

Solving Inverse Problems with Flow-based Models via Model Predictive Control cites this paper.

Solving Inverse Problems with Flow-based Models via Model Predictive Control D-Flow: Differentiating through Flows for Controlled Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:26:55.450718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19ca2430-ded3-471b-89c0-f7a67c50220d · inbound

Conditional Flow Matching for Visually-Guided Acoustic Highlighting cites this paper.

Conditional Flow Matching for Visually-Guided Acoustic Highlighting D-Flow: Differentiating through Flows for Controlled Generation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-03T04:55:12.149156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5813e865-ad42-4b86-a806-d95ace9d043f · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance D-Flow: Differentiating through Flows for Controlled Generation

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:46:26.639022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d04ab87-79c6-4d1f-9756-84bfdd473fbb · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance D-Flow: Differentiating through Flows for Controlled Generation

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T09:29:57.104911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b02d18e1-f6d8-4c59-83be-11189958c670 · inbound

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance cites this paper.

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance D-Flow: Differentiating through Flows for Controlled Generation

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:25:33.262906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 336a5fb9-90fd-4679-9ad1-1ae00b8b69ce · inbound

LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling cites this paper.

LENS: Low-Frequency Eigen Noise Shaping for Efficient Diffusion Sampling D-Flow: Differentiating through Flows for Controlled Generation

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T01:45:51.119196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6053f3ae-8cd1-447f-af2c-438c19a54cfe · inbound

FlowADMM: Plug-and-play ADMM with Flow-based Renoise-Denoise Priors cites this paper.

FlowADMM: Plug-and-play ADMM with Flow-based Renoise-Denoise Priors D-Flow: Differentiating through Flows for Controlled Generation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-12T00:56:14.064203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e56da932-47eb-45f2-a919-8aff5066b3ed · inbound

GenMed: A Pairwise Generative Reformulation of Medical Diagnostic Tasks cites this paper.

GenMed: A Pairwise Generative Reformulation of Medical Diagnostic Tasks D-Flow: Differentiating through Flows for Controlled Generation

Reference 62

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:36:26.584819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e388623d-f7a6-4961-a903-ff57c5962239 · inbound

Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models cites this paper.

Diffusion Domain Expansion: Learning to Coordinate Pre-trained Diffusion Models D-Flow: Differentiating through Flows for Controlled Generation

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:45:20.277891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a5fbad6b-6ff8-4400-a321-e0c1ae47f5f7 · inbound

PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models cites this paper.

PG-MAP: Joint MAP Optimization for Inference-Time Alignment of Diffusion and Flow-Matching Models D-Flow: Differentiating through Flows for Controlled Generation

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T10:19:47.276266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ff802ce-81eb-402e-b3b0-b969a5d48180 · inbound

Diffeomorphic Optimization cites this paper.

Diffeomorphic Optimization D-Flow: Differentiating through Flows for Controlled Generation

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:47:05.829792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e1e0416c-b886-46d9-970c-e3ae2a03fc4b · inbound

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching cites this paper.

Hybrid-Domain Posterior Sampling for Inverse Problems via Latent Flow Matching D-Flow: Differentiating through Flows for Controlled Generation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T00:49:56.669918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.