Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.06232.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:52:47.007649Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T16:17:08.913484Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 5a2785cf-b1a2-4737-b366-57c15ce2e4ca · inbound
UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention cites this paper.
UltraImageGen: Efficient Ultra-High-Resolution Image Generation with Hierarchical Local Attention HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T09:20:06.151128Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2f7db0c-8adc-4274-922b-38643c752235 · inbound
ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models cites this paper.
ExtraVAR: Stage-Aware RoPE Remapping for Resolution Extrapolation in Visual Autoregressive Models HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:26:27.877296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6c90b8a4-ded5-4506-b52c-2c9eedd58e13 · inbound
L2P: Unlocking Latent Potential for Pixel Generation cites this paper.
L2P: Unlocking Latent Potential for Pixel Generation HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T07:17:29.673077Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4c0ada1e-97a6-4e4a-a912-23fc48879580 · inbound
RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations cites this paper.
RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T19:03:39.588269Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 61d37132-40dc-4c68-8889-b5a2fedc1d7f · inbound
PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset cites this paper.
PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T05:23:03.848063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation dbeeb155-4cdf-4936-9d10-5162b528752b · inbound
SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers cites this paper.
SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T06:11:09.033508Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f2038fad-c6d8-4439-92f0-3ad5143aa053 · inbound
Pave-GRPO: Beyond Instantaneous Guidance through Principled Average Velocity Decomposition cites this paper.
Pave-GRPO: Beyond Instantaneous Guidance through Principled Average Velocity Decomposition HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 3
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:16:16.522057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation b052a6d8-52e4-4c8f-861b-3cecbdf2c0dc · inbound
AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO cites this paper.
AdaGRPO: A Capability-Aware Adaptive Enhancement for Flow-based GRPO HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T16:17:08.915059Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 40c3beec-c348-4337-9773-92fcbafc27d0 · inbound
HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models cites this paper.
HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models HiFlow: Training-free High-Resolution Image Generation with Flow-Aligned Guidance
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:52:47.007649Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.