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Paper Citation Record · LEDGER

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation

As of 3 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2605.06512.

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

pith.paper-citation-record.v1
2605.06512 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T13:06:56.964670Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T23:29:03.330117Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact21
  • verified fuzzy24
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ea751f12-9831-4bc7-a971-0bffe5f9ef13 · outbound

This paper cites Mochi-1 preview.https://huggingface.co/genmo/mochi-1-preview, October 2024.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Mochi-1 preview.https://huggingface.co/genmo/mochi-1-preview, October 2024

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.160726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:85ea967c8cae956933f7355728e8288211c6c52ea194b58cd4b08fc4b5d9a8c3

Observation d2562b00-08f5-4170-8e11-e052e3de8faf · outbound

This paper cites Vision-language models do not understand negation.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Vision-language models do not understand negation

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.154903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:2a8891b4b34369213557c44a19b4e014466a1d7fed5a35eb88815bf4110dab8b

Observation ff0d5036-a968-4f4b-9303-3c217f55b83a · outbound

This paper cites Universal guidance for diffusion models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Universal guidance for diffusion models

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.165034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:180f03183f3b91868f0fc91680c532a5f5de991c88de4cec0cb456ae71596b4a

Observation 349198c7-83dd-44fb-8167-8f1fc1459de9 · outbound

This paper cites Lumiere: A space-time diffusion model for video generation.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Lumiere: A space-time diffusion model for video generation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.169258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:8d66f1b50bae1daea8263584525596cd33a1bf03ae5e18a99f5130408fe4bc49

Observation eed5e41a-5d15-439e-a8cd-bad5a338d50f · outbound

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

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:01:10.700350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:21953277c299aaee62dcb3bee8ca4c73594ebfdef0d99519f018b7a6e7554952

Observation ecfe98d1-db25-40d3-be4b-679f5f5bd253 · outbound

This paper cites Align your latents: High-resolution video synthesis with latent diffusion models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Align your latents: High-resolution video synthesis with latent diffusion models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.173397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:47c4dc4ddd0dbeeb4b32a42723b2e7022dc9a5de8529617b7d55681e4554bd85

Observation 1329b0b2-88c9-44e5-8bb2-376120e1118e · outbound

This paper cites Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42(4):1–10.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Attend-and-excite: Attention- based semantic guidance for text-to-image diffusion models.ACM transactions on Graphics (TOG), 42(4):1–10

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.140578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:4ae9c63413ed9ea96137013eaf03a56cf5d4ecac16c1691de5fadfd71469715d

Observation d7bfadd4-7d15-4b57-95e4-7c8b157dbee8 · outbound

This paper cites CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation CFG++: Manifold-constrained Classifier Free Guidance for Diffusion Models

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:01:11.080604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:c2c907e2cf641bafb7739477084c6a1b64c1151339c242f0c9712227ddf6b1d0

Observation ee364f6f-b42c-4b45-a243-30a18657619f · outbound

This paper cites Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:10.626417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:8240550d57919e4914e13d1cff142101a05ed7d0e92145c30c65c73916f1dc5e

Observation 9a50c7a0-1497-4c9e-b1f9-995d3a378a68 · outbound

This paper cites Erasing concepts from diffusion models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Erasing concepts from diffusion models

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.144967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:8bb945eda80da7379960a00c7221d5fc951d09705b432fb09040dc5686a5131e

Observation e76b753a-5572-4794-8b46-1a1266ea95a1 · outbound

This paper cites Unified concept editing in diffusion models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Unified concept editing in diffusion models

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.178474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:146010858bbcda5b9c9348d1a4bda8c880a81e6e21e56b33c7296432395a6edd

Observation da21acd5-f5ba-43bb-bf1c-1c76a7f74458 · outbound

This paper cites Preserve your own correlation: A noise prior for video diffusion models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Preserve your own correlation: A noise prior for video diffusion models

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.131962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:fcbf3b670d25cde22ad84de35b0e9a8d941de02ef2c6b252b514a29441b5c215

Observation d2706235-b757-457b-8195-09d8ec60f07d · outbound

This paper cites Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:09.626148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:022e19cda5ed79bfbeb08390fd4d6c0cb8a1a4cf81d21d61b9f3a8f0ebdbed0c

Observation 28e4e1a3-7fcf-4207-a900-01ffc6b1e623 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:27:43.523852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:c81d073b5e52d7369b0957ca72b4debaa43d164657d7fe3a27fdf649df5ad1be

Observation f97ee46b-7888-4c4f-80cb-392e6242b2c4 · outbound

This paper cites StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation StreamingT2V: Consistent, Dynamic, and Extendable Long Video Generation from Text

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:10.840384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:06a40036c7b11488cac3d6aa828f3fa86adc5283b38f84d47a9959fd24a00e5c

Observation a4a2be61-c6bb-47a8-bad2-24b35996c54b · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Imagen Video: High Definition Video Generation with Diffusion Models

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:01:11.104449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:f5e08fd28d7f7ff88342b56836be14bf3908ec1987b46e6fbafcd826b0d43c8a

Observation 5ed6e8cb-a3ad-4f6e-ad62-0c9aa37928c5 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.136961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:4c06cdf6a1936fed149e17d0cc27136edf950c2503fe93c7ff7c0c2b0386498c

Observation 75ebd5c5-5578-4d3d-be03-c57c121dc6bc · outbound

This paper cites Classifier-Free Diffusion Guidance.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Classifier-Free Diffusion Guidance

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:01:10.276198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:e2ae4980c617c21308c22b212745fe85969afad89deea17be3de07311434e687

Observation 5bd6538e-8328-46c9-bc9c-0d909de28d82 · outbound

This paper cites Video diffusion models.Advances in neural information processing systems, 35:8633–8646.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Video diffusion models.Advances in neural information processing systems, 35:8633–8646

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.150621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:ed3bac0fcf51613c20b96c17fdc3124c1e0cd105abd837ea7cea1cec4da827bf

Observation a2d75295-0e78-45a3-83c4-3f7fce91a97d · outbound

This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:01:09.745229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:791c11bc87f32120c26e0cde3433fa15488218e0aefefb039056c9d7380bc0cf

Observation fcfaac48-55d7-40ab-a59a-e91134af3501 · outbound

This paper cites Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality.Advances in neural information processing systems, 36:31096–31116.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality.Advances in neural information processing systems, 36:31096–31116

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.120381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:521d5075397d8b95ab6c99abdf2a3ba0ca9b9b979f745cf5b91aa96e00d94a92

Observation 35522887-25b6-425f-9d5c-f645133a9065 · outbound

This paper cites Negate: Constrained semantic guidance for linguistic negation in text-to- video diffusion.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Negate: Constrained semantic guidance for linguistic negation in text-to- video diffusion

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:11.071409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:03097b507b1be654cf02268d8c14fc72f52228294d00e7b8d29add204206643e

Observation bd614b13-229e-4832-8484-fc68af163108 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:01:11.165260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:c2891ab66833a5569ae5223d359e8955dc678079748a429b1140f8872b58c9bc

Observation b4b5a5a4-2626-4274-baf7-181e0af25896 · outbound

This paper cites LLM-grounded Video Diffusion Models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation LLM-grounded Video Diffusion Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:10.635266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:654b5952a97e1739b49484dcfa1f48b1b1b7b07e54d5681e1b6910a4704ae907

Observation 9f8aee22-3155-498b-ae63-c33036e60a19 · outbound

This paper cites Compositional visual generation with composable diffusion models.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Compositional visual generation with composable diffusion models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.124348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:365c0d8729caf4ae1ed14109e6701d380ae0894c4d044c276ce6cf40050c9879

Observation 62b617c8-7f9c-491b-9cbc-e45ce38d1c46 · outbound

This paper cites Video generation models as world simulators.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Video generation models as world simulators

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.088793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:08ec1c20b35bbff8d38f5774da3f759525b59208d3a0975659de55f6062b4ca6

Observation 2ff16788-28d6-49b4-aef3-bc743e08318d · outbound

This paper cites Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, and Yuming Du.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Sampson, Shikai Li, Simone Parmeggiani, Steve Fine, Tara Fowler, Vladan Petrovic, and Yuming Du

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.084658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:966df54fa76dd103064227895550c45bcf8c617f3bf1a7ab2e8b9f02e20e2a60

Observation cc888ba0-0b14-40fc-91f3-98e6e03805c9 · outbound

This paper cites FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation FreeNoise: Tuning-Free Longer Video Diffusion via Noise Rescheduling

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:11.247135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:769a021a221fe684f31b69d30d8634486228749c5c588c4537eca1df493a0bb9

Observation 5ca669e5-fb8c-433b-88fe-c952f2465763 · outbound

This paper cites Linguis- tic binding in diffusion models: Enhancing attribute correspondence through attention map alignment.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Linguis- tic binding in diffusion models: Enhancing attribute correspondence through attention map alignment

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.116336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:462fc202ef4c97e27cb73cc0f4e904a494fa4ed758b9da5bc7cf1b74ceda0c2f

Observation f2eb530d-5aeb-4ef5-ba26-5c4fcd75d5e6 · outbound

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

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation High-resolution image synthesis with latent diffusion models

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.068881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:c07dcea5af7bc4b9a5f08ff0165cfd3881222b939ec4d31a31267cb6b5afdca9

Observation 537eb4d4-85cc-4d1e-a174-9ea16c134c64 · outbound

This paper cites Photorealistic text-to- image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Photorealistic text-to- image diffusion models with deep language understanding.Advances in neural information processing systems, 35:36479–36494

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.076746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:5cbf9dd1588ca403593e99c3f41905559e622dc9a92d575ebaa3ed4c6fd9f503

Observation c15fa2aa-7515-4eb2-b2e4-f792016a2b25 · outbound

This paper cites an unresolved cited work.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-05-26T12:47:21.072327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:58bd9842ddc700f681b5f73b47c64feabcd61a2b87ea4773089fd5530b321762

Observation b84e1ffd-a1ca-40a5-b3cf-1821bf4041f9 · outbound

This paper cites Freeu: Free lunch in diffusion u-net.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Freeu: Free lunch in diffusion u-net

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.080421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:7c8519223de62c318d82944f45338cef0210f69cb0f46f120bb091387208e1ed

Observation 505f89d4-01f8-40cf-ae0a-5c800052d3ef · outbound

This paper cites Make-A-Video: Text-to-Video Generation without Text-Video Data.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Make-A-Video: Text-to-Video Generation without Text-Video Data

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:01:11.088006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:148fb1ae7adaec93d87b38fc9904140c431d64f13cc0bf72fb8e2a2a6e713205

Observation 7a0691ed-bbfc-4b2c-b571-97413047c161 · outbound

This paper cites Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Learn "No" to Say "Yes" Better: Improving Vision-Language Models via Negations

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:10.135984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:e71bf9083736d3476739ec1acf0d0844b6c0e154313a76c670da961687e329ea

Observation a79ff568-de1e-484c-8db8-bcc2e992f582 · outbound

This paper cites Winoground: Probing vision and language models for visio-linguistic compositionality.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Winoground: Probing vision and language models for visio-linguistic compositionality

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.104914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:37cc4241f68e781a16d95cc9e1d6cf540af6291f2ef6d1673c57585cff1056e8

Observation b769c67a-16cd-4027-86f1-227c046ef96b · outbound

This paper cites an unresolved cited work.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-05-26T12:47:21.108340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:da5d503401a0fd662c8ba039a4d4661a72ab909c1451dabee5fc4278211fa98e

Observation 2a680ab9-49f1-412f-9dbb-176530a984e8 · outbound

This paper cites Phenaki: Variable Length Video Generation From Open Domain Textual Description.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Phenaki: Variable Length Video Generation From Open Domain Textual Description

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:43:34.268786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:a318cab4fb5f7b7f02ce3009df6bfe9d6981d0236c0b007c3c377ea45420c3e7

Observation 75a45d37-569e-4ab3-8d10-27a78811c716 · outbound

This paper cites Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Gen-L-Video: Multi-Text to Long Video Generation via Temporal Co-Denoising

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:10.958565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:3c0cebe8a6793f500d25528a38c8b7bfb9cb8524d96ef64074b3bea73fff8be0

Observation eddb880c-ec50-40df-83d5-403170935ea8 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation ModelScope Text-to-Video Technical Report

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T19:47:29.701736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:748695007f2deeaa49c4d32171b6f111ba266e8b3d629ac60fd0a8ec1c381bea

Observation fa39fd29-f4b9-4800-b9ff-280d643c007e · outbound

This paper cites Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, pages 1–20.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Lavie: High-quality video generation with cascaded latent diffusion models.International Journal of Computer Vision, pages 1–20

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.112508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:1ab4bbf9bdc4290f73de9dc670952e34b13adde2e556012dec9634f8c9e3e060

Observation db06403d-836f-438b-8591-fb889395c645 · outbound

This paper cites HunyuanVideo 1.5 Technical Report.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation HunyuanVideo 1.5 Technical Report

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:31:35.128127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:c3ec47309a9f8b84625975378d66e104f9cb1983560571cb8233e69320cd590c

Observation efae2851-c46c-447c-aa35-8d5d9444ffd8 · outbound

This paper cites Not just what’s there: Enabling clip to comprehend negated visual descriptions without fine-tuning.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Not just what’s there: Enabling clip to comprehend negated visual descriptions without fine-tuning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.092597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:efd0f1d9a6d08cc14eb96e85390ea2a578d0111a6e18186878462945e856af6f

Observation daadc491-ccda-4785-9056-ad29b7e1e906 · outbound

This paper cites Dymo: Training-free diffusion model alignment with dynamic multi-objective scheduling.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Dymo: Training-free diffusion model alignment with dynamic multi-objective scheduling

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.096501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:ee61c18659f6184cf4535fac69356babe875530a6a0309f25d7a4b11170b4bc0

Observation 5b95cd39-ece4-4264-b2da-1d4315de2203 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-11T19:01:09.895192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:3c1c01e4b09fa2704dc521995411c78afb6cd4022152ae72c21455152ccc8e12

Observation 5fd61976-d684-4fb7-a2b1-815f2c3b182c · outbound

This paper cites When and why vision-language models behave like bags-of-words, and what to do about it?.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation When and why vision-language models behave like bags-of-words, and what to do about it?

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:01:11.745909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:82a5cac522761fe23472cfc9ac180129292bf006ad3cfb6bb9b594f981a2003e

Observation 37919aa1-cfb6-4dde-9f8a-76d73099a046 · outbound

This paper cites arXiv preprint arXiv:2502.05625 , year =.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation arXiv preprint arXiv:2502.05625 , year =

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:10.485837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:e0df9a0fa24cf90328c732bcd650232ca6b86d15d1878281afab621a3ddfb8c1

Observation 9ee71088-b62c-4626-aaa9-1b6346afb230 · outbound

This paper cites Constrained Diffusers for Safe Planning and Control.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation Constrained Diffusers for Safe Planning and Control

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:01:11.097282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:18a84cda8b280991a417b196b48054196903c1f8f3eb24b5f11d5eebba3db902

Observation 285d3e1f-e889-4f17-9c9f-799d77a5e2e2 · outbound

This paper cites A snowy beach with waves.

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation A snowy beach with waves

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T12:47:21.101167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:45ed12537e7f0a1d0358cf6da1171f562d95a50e2924d6ceed9ee9d320a94fc1

Pith citing papers

Observation 159937a0-1598-4e55-80f0-fabf6e38cb51 · inbound

TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models cites this paper.

TPD: Temporal Prior Decoupling for Text-to-Video Diffusion Models DCR: Counterfactual Attractor Guidance for Rare Compositional Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-30T23:29:03.330117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T23:29:03.330117Z digest=sha256:a6869cd3e7866de1e4877a322ceacffbf56f12450a06d34ba308e1bdd4292276