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Paper Citation Record · LEDGER

Aligning Latent Geometry for Spherical Flow Matching in Image Generation

As of 21 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2605.15193.

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

pith.paper-citation-record.v1
2605.15193 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T20:34:54.023368Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:35:53.567565Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

48 of 48 outbound references displayed

  • verified exact13
  • verified fuzzy32
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dffc6608-1b75-4d92-a485-8a0d932d0f08 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Denoising diffusion probabilistic models.Advances in Neural Information Processing Systems, 33:6840–6851

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 3ab316fe-f7a4-480e-bf22-90ca2eb386d6 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Score-based generative modeling through stochastic differential equations

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 306e0228-6197-49c4-a58f-071900f6ecf6 · outbound

This paper cites Flow matching for generative modeling.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Flow matching for generative modeling

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation f30a930c-f932-40ed-8ab0-737e0ab3ca24 · outbound

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

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.967561Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:acb95acb6619602ad89eff70296ad43bb3afb74169912bf1c72cb3728ba80db7

Observation b2f79155-4118-471a-9a0e-f1df556be2c4 · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Building Normalizing Flows with Stochastic Interpolants

Reference 5

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verified exact
local_arxiv, observed 2026-06-30T20:35:02.182363Z

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.

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Observation da3951c4-486f-4fad-a9e4-6b9720448c22 · outbound

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

Aligning Latent Geometry for Spherical Flow Matching in Image Generation High- resolution image synthesis with latent diffusion models

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation d96d15c7-f0e3-405f-a5cb-25ebd4263dad · outbound

This paper cites Scaling rectified flow trans- formers for high-resolution image synthesis.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Scaling rectified flow trans- formers for high-resolution image synthesis

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.856898Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:b79d92ed4dc9c47bb2f60e63e8d958438f7a79f1a67ef0f316dfd076f9a8072e

Observation ac1c6541-0f8b-427a-bcb2-20523b18e951 · outbound

This paper cites FLUX.2: Frontier Visual Intelligence.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation FLUX.2: Frontier Visual Intelligence

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.859376Z

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.

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Observation e0d3efe7-bf1d-44fa-9f8e-374aa925bc3f · outbound

This paper cites Making Reconstruction FID Predictive of Diffusion Generation FID.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Making Reconstruction FID Predictive of Diffusion Generation FID

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-06-30T20:35:02.179425Z

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.

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Observation 5e319072-ad00-4a59-8287-92d192a4885a · outbound

This paper cites Reconstruction vs.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Reconstruction vs

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.956538Z

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.

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Observation 56ae7a95-a724-4791-83b7-9c83f2adc1c6 · outbound

This paper cites Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Sit: Exploring flow and diffusion-based generative models with scalable interpolant transformers

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.942615Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:df7ea46b27c41da7aa929451bbc4492bee1a01f55225fab66590b0fe57868932

Observation efbb4fee-6127-4bae-8495-8e40f7660bba · outbound

This paper cites Cambridge university press.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Cambridge university press

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.945899Z

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.

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Observation 32d3112f-c68f-416a-aad7-2fd689b04f1d · outbound

This paper cites GANs trained by a two time-scale update rule converge to a local Nash equilibrium.Advances in neural information processing systems, 30, 2017.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation GANs trained by a two time-scale update rule converge to a local Nash equilibrium.Advances in neural information processing systems, 30, 2017

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.949747Z

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.

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Observation 6ee1e1be-8b1e-46d3-8f88-161612872b77 · outbound

This paper cites Flow Matching on General Geometries.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Flow Matching on General Geometries

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.156050Z

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.

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Observation 0e727666-8cc9-48e4-aa3a-65241a5f8d23 · outbound

This paper cites Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-07T03:17:18.364333Z

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.

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Observation 8c9e617d-5285-4272-98dd-a653fed47c36 · outbound

This paper cites Hyperspherical Variational Auto-Encoders.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Hyperspherical Variational Auto-Encoders

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T20:35:02.159325Z

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.

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Observation bac008e6-4485-4b85-b7c2-b12648de8ec8 · outbound

This paper cites Spherical latent spaces for stable variational autoencoders.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Spherical latent spaces for stable variational autoencoders

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.953279Z

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.

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Observation 08c3fb70-f3ae-48f4-a0aa-d35fa1426c4c · outbound

This paper cites Image generation with a sphere encoder.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Image generation with a sphere encoder

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.162139Z

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.

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Observation 5884d588-1666-4cb8-ad3b-7e899813b037 · outbound

This paper cites Hyperspherical latents improve continuous-token autoregressive generation.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Hyperspherical latents improve continuous-token autoregressive generation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.150748Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:2fc761f836d57f3ae83225919c1156c2dad80414909645ea17f6021c2a9c31ba

Observation 83f142ef-4a7b-4ae6-884c-fef37e2618e9 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-06-30T20:35:02.144758Z

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.

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Observation f3e608b1-7ac7-4a58-a781-371055b50784 · outbound

This paper cites REPA-E: Unlocking V AE for end-to-end tuning of latent diffusion transformers.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation REPA-E: Unlocking V AE for end-to-end tuning of latent diffusion transformers

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.912293Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:dc5734eb9fcafc4783a6bacb715e91787cef6baf84336a57f33a5e9207e3c42d

Observation 7c00a287-7114-4824-b728-10622e7acc6b · outbound

This paper cites Normface: L2 hypersphere embedding for face verification.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Normface: L2 hypersphere embedding for face verification

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.932329Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:66ed81a70896162786624f9bc385bc4860e839ba5b37d910f07353e5fd519019

Observation 3b96b9c0-5568-407f-9028-8e430759a22e · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Arcface: Additive angular margin loss for deep face recognition

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.932172Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:895de11d5e92396a12b6d6539471e301ec445fd7ecfcb84dd5a4b05b46f1d5bb

Observation d112d2a7-7c74-45bd-83e0-7c4396a934aa · outbound

This paper cites Neural ordinary differential equations.Advances in neural information processing systems, 31.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Neural ordinary differential equations.Advances in neural information processing systems, 31

Reference 24

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verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.942987Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:a674a2b61d8a24375cfe643500bf630f5bb050f7629ab7589d3118ff32b079a1

Observation f2fe2292-4c3a-4830-bde5-9cab53c6f665 · outbound

This paper cites Riemannian continuous normalizing flows.Advances in neural information processing systems, 33:2503–2515, 2020.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Riemannian continuous normalizing flows.Advances in neural information processing systems, 33:2503–2515, 2020

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.940588Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:22f4af4b3215619103cfa1a08b2979446bd66ff3f07dc45c956aed1a443e62c6

Observation c0ecefec-7eb8-4548-a890-eb8f62e4d40e · outbound

This paper cites Riemannian score-based generative modelling.Advances in neural information processing systems, 35:2406–2422.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Riemannian score-based generative modelling.Advances in neural information processing systems, 35:2406–2422

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.938968Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:22d3b41e7eecf526656296af0e840ca358aa3916dfaa83ef5d5cf847f200853d

Observation be2bad48-4c4f-4c8c-871b-a8b0a04912da · outbound

This paper cites Riemannian diffusion models.Advances in Neural Information Processing Systems, 35:2750– 2761, 2022.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Riemannian diffusion models.Advances in Neural Information Processing Systems, 35:2750– 2761, 2022

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.914328Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:0159a9f4244a8112e502b48e3dbcdf9873beb80c67d03c71f8bcf5ad5edd7fff

Observation dd1509c9-27fc-410d-bf6d-6f8c7d713995 · outbound

This paper cites Moser flow: Divergence- based generative modeling on manifolds.Advances in neural information processing systems, 34:17669–17680, 2021.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Moser flow: Divergence- based generative modeling on manifolds.Advances in neural information processing systems, 34:17669–17680, 2021

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.914760Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:74572bc8c9967ccde7191e354a57b1e109deb4cfff47d496d520d4d34339a62e

Observation d82249fd-b0be-4f30-93a8-fea516ef731c · outbound

This paper cites Fisher flow matching for generative modeling over discrete data.Advances in Neural Information Processing Systems, 37:139054–139084, 2024.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Fisher flow matching for generative modeling over discrete data.Advances in Neural Information Processing Systems, 37:139054–139084, 2024

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.960504Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:d1b896f139cf2c3f52138f4a02fb3c8e5fdb8eaa333c8765721811ebdf2e2278

Observation 746c50c9-f743-4e72-8d66-a9ffa3dedc04 · outbound

This paper cites Riemannian variational flow matching for material and protein design.arXiv preprint arXiv:2502.12981, 2025.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Riemannian variational flow matching for material and protein design.arXiv preprint arXiv:2502.12981, 2025

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.148155Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:49a9f37c7b12bda4f49e7ad4574fbf3d7470de889807a82b428141fdd8f01c3d

Observation fbc710d7-7b3d-4e15-9ac5-27884dc4bd25 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation DINOv2: Learning Robust Visual Features without Supervision

Reference 31

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T20:35:01.610373Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:d066d22c0ce2fd8e646b3d6cfaa58be3254623b36afefd93cc768f198e4bff48

Observation f9c20257-4e5e-4c65-9aee-8b3f44cf4137 · outbound

This paper cites Diffusion Transformers with Representation Autoencoders.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Diffusion Transformers with Representation Autoencoders

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-06-30T20:35:02.191054Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:9066c141cac2d9b9edcea5193b3d8d08e067a8f30f2409d6ca59e1f1258a1cb6

Observation 90458d55-c114-4485-b614-4c2ba63fabed · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Taming transformers for high-resolution image synthesis

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.920831Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:303ffb28b4be0111128dad2df83e386881e2a39e4072e0ef08328cc021c4fd2e

Observation d65acb82-fbb9-4ae6-9b17-d8692aa7cbe8 · outbound

This paper cites Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Robust Latent Matters: Boosting Image Generation with Sampling Error Synthesis

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.187958Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:ff9e84e342f2cf690f0a86279c5ede6b644bfee12d1ad447fecee9e1e6ea76ee

Observation 08450fc2-ccd2-4e25-9d4c-b92bdd56dbb6 · outbound

This paper cites Image tokenizer needs post-training.arXiv preprint arXiv:2509.12474.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Image tokenizer needs post-training.arXiv preprint arXiv:2509.12474

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.178237Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:6997d984fe4862ab4c81902957059ccaa06007240b25c49105582ba940aef668

Observation dcff2d84-f063-4bf6-87a6-839c195aeeab · outbound

This paper cites Improving the Diffusability of Autoencoders.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Improving the Diffusability of Autoencoders

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.188155Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:4a8f823b93504fc6d7858335e41d1a5d2ebc05a5e75ff339e98d3e7862c71389

Observation 87935eb5-9b95-4163-9130-d0404adef319 · outbound

This paper cites EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation EQ-VAE: Equivariance Regularized Latent Space for Improved Generative Image Modeling

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-30T20:35:02.184746Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:9f05a72369df71a8e90b70652b8163cca7f2ac82fd501df8f018588b343d9282

Observation ac0725fa-de1f-402a-a025-91af9de784f8 · outbound

This paper cites Gigatok: Scaling visual tokenizers to 3 billion parameters for autoregressive image generation.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Gigatok: Scaling visual tokenizers to 3 billion parameters for autoregressive image generation

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.895127Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:eb6051415b6b4ddbec0785162f92a279d9366b9868e0414fdb03f9d9afd7fe24

Observation 665e0c0f-fca9-4580-bf76-1047c9d9a00f · outbound

This paper cites Masked autoencoders are effective tokenizers for diffusion models.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Masked autoencoders are effective tokenizers for diffusion models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.963938Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:a2a6c1cf5a2e092be779f66692178413cf99bec00f4b88f09bb51b38fcb26466

Observation 2ba3cf95-a5ac-492d-985b-d37520b23b75 · outbound

This paper cites Autoregressive image generation without vector quantization.Advances in Neural Information Processing Systems, 37:56424–56445.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Autoregressive image generation without vector quantization.Advances in Neural Information Processing Systems, 37:56424–56445

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.893858Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:03a2c61fb6d6bb18ea0ffdba96220e15fd21780168b59fa7b4abc4d8b1019219

Observation 334a0f85-eebe-435d-b4a0-034609cb5075 · outbound

This paper cites Auto-Encoding Variational Bayes.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Auto-Encoding Variational Bayes

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-06-30T20:35:02.184983Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:21656843066a8e8b7f11188239eae2569cca262da67d7ce95249835abda51126

Observation 9fb4bf9c-581d-4f4c-bee6-2b93dbb6d25c · outbound

This paper cites The unrea- sonable effectiveness of deep features as a perceptual metric.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation The unrea- sonable effectiveness of deep features as a perceptual metric

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.950798Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:907323bb545080d9622876a3d20b42342b105812a88fe811e729a2ff8d667f39

Observation 8d066ae4-bd1a-4361-96df-f325fc19a400 · outbound

This paper cites Image-to-image translation with conditional adversarial networks.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Image-to-image translation with conditional adversarial networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.937982Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:7980bd42994519c074f5feab84e89ad1f0f06f810bb4853dbf2dfd3d20e645ce

Observation 52c508ad-ba3a-4e29-a1f9-0cf0103b7fb2 · outbound

This paper cites John Wiley & Sons.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation John Wiley & Sons

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.880242Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:5d40809e70b79d215757b646fc35dc839e3978c7c000884ed1e6937e6c21349a

Observation 70b9b87f-2c60-4b80-9e27-f6293f53903e · outbound

This paper cites Animating rotation with quaternion curves.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Animating rotation with quaternion curves

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.975152Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:0b616503e0bfeec4a8c94af675cb6d96f84b6568279e4646dc6a297dffd5af2d

Observation 0055fbe1-e9f0-4766-bb6f-ce9c0e86475c · outbound

This paper cites Springer, 1992.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Springer, 1992

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.944966Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:f279306214e9c9b5a7123be0e62e1e3f7f80b9ab925ff7f48fc9d8a74b06dc38

Observation 8b327a14-5fc9-4773-b7e3-10a76d67e47a · outbound

This paper cites ImageNet large scale visual recognition challenge.International journal of computer vision, 115(3):211–252, 2015.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation ImageNet large scale visual recognition challenge.International journal of computer vision, 115(3):211–252, 2015

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.877530Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:63b65b67ceba16a6eb1655b99772785bb9505ecaaa90864683790d1b99dc74b5

Observation 6970331b-cab6-43c9-b980-e64ecbac9f17 · outbound

This paper cites Decoupled weight decay regularization.

Aligning Latent Geometry for Spherical Flow Matching in Image Generation Decoupled weight decay regularization

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-07-07T19:44:04.883521Z

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.

source=pdf_text observed=2026-06-30T20:34:54.023368Z digest=sha256:a9f345d9315294f0a71174800068db5bf472a93fc419be8997a8b90c1cb8e598

Pith citing papers

Observation 0a6578e9-a30c-465a-b658-bf680bf7e684 · inbound

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens cites this paper.

Stable Autoregressive Speech Generation with Low-Frame-Rate High-Dimensional Continuous Tokens Aligning Latent Geometry for Spherical Flow Matching in Image Generation

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-03T08:35:53.567565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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