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Paper Citation Record · LEDGER

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation

As of 25 July 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2606.27192.

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

pith.paper-citation-record.v1
2606.27192 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T05:45:35.601179Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-24T06:31:00.690269+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T23:15:09.253879Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T23:19:02.549105Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact18
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8c6b9147-983a-460c-ae24-58b81c8683a9 · outbound

This paper cites Conditional Image Generation with Score-Based Diffusion Models.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Conditional Image Generation with Score-Based Diffusion Models

Reference 1

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metadata mismatch
arxiv_id, observed 2026-07-04T12:59:52.006190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:e32fcbc831974d4262aa8f3090c2c283449421e2da459cba6644607b02293b76

Observation c72011ad-c5a4-4f07-b852-d74cd6aa5c64 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2

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verified exact
local_arxiv, observed 2026-07-04T12:59:51.979451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:a379773b7d3ce577074ad8b196603e335087c85489d893b1d9455cc0fe432a5f

Observation fc8dc06c-4120-47a9-8b7a-5c8ca8a824f7 · outbound

This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation LTX-2: Efficient Joint Audio-Visual Foundation Model

Reference 3

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verified exact
local_arxiv, observed 2026-07-04T12:59:51.993020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:38a4404c1ef9cde16a100f87597d05f74e69227e9eb08daceb812b82b8a003d6

Observation 15bd2b34-3681-496a-820e-c001a81dd89e · outbound

This paper cites Classifier-Free Diffusion Guidance.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Classifier-Free Diffusion Guidance

Reference 4

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verified exact
local_arxiv, observed 2026-07-04T12:59:51.976897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:a69b11770dca046c6f114441ed6bbbef8c389634c4359eeb78b9f1d8a79e5213

Observation 4faa256e-2971-44d1-8535-30fd00cfdde8 · outbound

This paper cites JOG3R: Towards 3D-Consistent Video Generators.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation JOG3R: Towards 3D-Consistent Video Generators

Reference 5

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verified exact
arxiv_id, observed 2026-07-04T12:59:51.968769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:b3da1a7409bdd17ef9bc8123d33200c846b97f2f60af35cbce4caa1aedecb981

Observation faba3b6e-1be9-477e-a9f5-3819bf35e2d8 · outbound

This paper cites Composer: Creative and Controllable Image Synthesis with Composable Conditions.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Composer: Creative and Controllable Image Synthesis with Composable Conditions

Reference 6

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verified exact
arxiv_id, observed 2026-07-04T12:59:52.000937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:a723d9710fc7222b19492dd4974b5482afb1f30b750d9d8b08ae99142cd878d0

Observation 88032ba2-0f90-40b3-8127-24bc21f2cc8d · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Gotta Go Fast When Generating Data with Score-Based Models

Reference 7

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verified exact
arxiv_id, observed 2026-07-04T12:59:51.962526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:4ad13a9eaadaec79a9d3d7fd311b71515be808cc34a4a44e94aa01c0ec2b839b

Observation 7acfd598-0527-4c3c-9148-7d32fba3d794 · outbound

This paper cites Flow Matching for Generative Modeling.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Flow Matching for Generative Modeling

Reference 8

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verified exact
local_arxiv, observed 2026-07-04T12:59:51.965771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:e2cd55c5bcfe0bad90399edc8f0438ae9a2da5d7db4e0cb4257fa899a154b6de

Observation 9da70663-b527-4b3a-b2c8-9c60dada74d8 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 9

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verified exact
local_arxiv, observed 2026-07-04T12:59:51.984812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:45b71aa7eb601c40b71a6b3a5f284220be52ba96e14a718d4c5afecb5fa1087b

Observation 6936b826-8917-486c-8b8a-a2a8d27389d8 · outbound

This paper cites Decoupled Weight Decay Regularization.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Decoupled Weight Decay Regularization

Reference 10

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verified exact
local_arxiv, observed 2026-07-04T12:59:51.956121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:226ea7355a87e6a900c6b5a88fa50a364253a28711102b3283517a7f55956c56

Observation e21cb7b6-aa3a-446a-8b32-d888fc8f46bb · outbound

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

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation DINOv2: Learning Robust Visual Features without Supervision

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:59:51.959272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:08adbf42791bac7505b10acbf632b7a02d2a3780f555258f6b8ffbf984845bd1

Observation b77dc4b3-1966-4d6f-9f3d-9eecbe3088b4 · outbound

This paper cites ControlNeXt: Powerful and Efficient Control for Image and Video Generation.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation ControlNeXt: Powerful and Efficient Control for Image and Video Generation

Reference 12

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verified exact
arxiv_id, observed 2026-07-04T12:59:51.982304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:d85ce87da2589248d6a61568911b27159c13a69fb22e3372f6261db22d120002

Observation fc5c02c3-7aee-4879-9f87-8d0d91d2dde5 · outbound

This paper cites W¨urstchen: An efficient architecture for large-scale text-to-image diffusion models.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation W¨urstchen: An efficient architecture for large-scale text-to-image diffusion models

Reference 13

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unresolved
no resolver link, observed 2026-06-26T05:45:35.601179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:d87669fef9d3838237cced933ed340e0aa7bdbee50f1d502d815325de176bae2

Observation 6eb50208-f89c-44c7-bd07-7a4c36a2ead8 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Sdxl: Improving latent diffusion models for high-resolution image synthesis

Reference 14

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unresolved
no resolver link, observed 2026-06-26T05:45:35.601179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:81d6dd8c52a493ebfc513be70d1b278cf8b0bceae18527bb4e9a7d7e115455fd

Observation 1de88ba1-bf4f-4f34-8d59-ce7811b2b042 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Score-Based Generative Modeling through Stochastic Differential Equations

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:59:52.003489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:3092a9453126ba36468cf8577ddf4e999154aae8dec0571fabc69cb91377d34b

Observation f92206e6-ceda-4c2d-aecc-db3a129d26dc · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:59:51.974325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:f79252885a50ccb49e270e40e761b69098e14d276933684b637220ebc3685268

Observation 2d2177cd-6e4e-40c1-b015-311863195f3b · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:59:51.995553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:7ec848d6d647937f509a24207794d6b3513a27014ca46a4ffa937c73d010d8ee

Observation 025bf58e-5136-4fc1-b2d5-7d2ffe3cb8ca · outbound

This paper cites Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Geometry Forcing: Marrying Video Diffusion and 3D Representation for Consistent World Modeling

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:59:51.998030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:222b8934c0625a6c9c3b0a44412733d4df97c2077416c9a29235c15ab7b90d76

Observation 9ad356c8-ea64-40db-8eed-e785204d6dcb · outbound

This paper cites Articulated pose estimation with flexible mixtures-of-parts.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Articulated pose estimation with flexible mixtures-of-parts

Reference 19

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unresolved
no resolver link, observed 2026-06-26T05:45:35.601179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:221d638bb82470ea12d9853384f39852840e00f39ce8ad31f77ea89b537f9354

Observation 38e6a092-c1b6-4b7d-9ca0-9d6c8b186fd9 · outbound

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

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-07-04T12:59:51.971586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:aa553a1f5f6746f447fe495554fbd38948af1912c1b478b4f2dbeaf8f3205a96

Observation c0ae6478-e742-4d8d-84ec-4150e6f829cb · outbound

This paper cites DwNet: Dense warp-based network for pose-guided human video generation.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation DwNet: Dense warp-based network for pose-guided human video generation

Reference 21

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verified exact
arxiv_id, observed 2026-07-04T12:59:51.990615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:f2d0dd456efca2bb0339e21aea0e2fa97a3a1be6a303df99a51de74189a5d69d

Observation 40ff949e-cd37-4110-90ae-cb72b194f2c7 · outbound

This paper cites Endless World: Real-Time 3D-Aware Long Video Generation.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Endless World: Real-Time 3D-Aware Long Video Generation

Reference 22

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verified exact
arxiv_id, observed 2026-07-04T12:59:51.987817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:895c5f1d456397671b3d051face4b2d201352effd8d5eb6751f760fc5d748122

Observation 081333df-efe0-4785-a2fa-cffd4033afdf · outbound

This paper cites Controlvideo: Training-free controllable text-to-video generation.

LISA: Likelihood Score Alignment for Visual-condition Controllable Generation Controlvideo: Training-free controllable text-to-video generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-06-26T05:45:35.601179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-26T05:45:35.601179Z digest=sha256:edfecc2a85245eb60721b99a6a285b0106b036eda92b3b87401750de729beb77

Pith citing papers

Observation 6aaa6fc8-0fb9-419b-bbf3-46809e7c7a22 · inbound

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models cites this paper.

SPAR: Semantic-Pixel Self-Alignment and Adaptive Routing for Unified Multimodal Models LISA: Likelihood Score Alignment for Visual-condition Controllable Generation

Reference 55

Resolution
metadata mismatch
local_arxiv, observed 2026-07-03T23:19:02.551293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-24T06:31:00.690269+00:00.

source=pdf_text observed=2026-07-03T23:15:09.253879Z digest=sha256:f7bd9c94195e6c65c4e4a392d81b7ca124f80e385e537e6fcd0e90378e381377