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Paper Citation Record · LEDGER

DCR: Counterfactual Attractor Guidance for Rare Compositional Generation

As of 2 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 2026-08-02T06:30:47.504484+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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:7658af282b28ea280836c2f0d756c3b5bbf4383bb4c184348511487fb3fd5606

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:56b14778518ed1d9fecab5859ae919b7a6e69f1f5409a33676811c04c710e35c

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:f19cd24c94f0ae7d53a5dc4233bd5ec2730c4152b0d14c6d41417ac027341bc4

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:9e557a00403ceddc23f2e971eefd5ff99d91a2eb4872dd97dba485ebc55e832a

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:9dff3b591672271a6d0af981b35e6b3aa02aaddebbb8986cf4a058bbb6acced5

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:255c22e1e1f17d2b051804f15a32b0ef594db7fa0444b2b06f0b41edf9c021ca

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:5c517586495e778aa8995c0c4aea237cc4304635c3bf5162d36a7e38d5d924ab

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:3139054ce10d95bf98cf0d504a3fba317b56e0358a472bcd6555a817c4fea9a0

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:1b6472e8032b83faee33108ab0fb304b9542707248a50cd4ea34eb27f79f66ee

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:e939cb5e0b5bd53cce84ba54afe6fff1fb967ed2134a003f8b3db570b90902d7

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:3ab6878c043eecb46683bb660636e41b505bfa2567726b1e55b1e3951f363bb5

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:53dbc2528330f4226d086475b4c64871bc139541d7020e842676d50ed3121131

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:84f640324fd1aa7a738a5c6e5a6e9b702afc8c2a17a1df83920c20db4d864df9

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:40484234fd694f3d979d5c51c6c4b38f83e5a10ff282d187f38cdb14abf18b5b

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:1b4201506832653cdc9b9759893b6a8f3e6bc7aead950738b6676999c21b1c59

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:a5ee641457e48069b4b119929eb00b86ae10a3b6860dfe59fdd85e785ca7d5ef

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:5ce76d76f5250c9d34ce4fd74efd6d5c9dc5346eaa85c5df273738bd1cb09c19

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:d14be304db62e058f4b266a7bb612ace9214620682a31f4072f78bebbcc50c1a

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:52ca6f9873255c8c2a4efbf561eb19e3ba3e50be43c6c34d188ecf7393cc7a9d

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:a701e1ae3e9d9e539c54791785526ada836434ec925a776f8f571e67376c8148

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:605a2327bfa2062cb0f489a9676eaa7c8a831fc71067ddb18ee05c1b5d4700b3

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:704491f3cfa5075897a6bc6ef51bfe32b41b96921afadc73e0f6207a3ab657c1

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:2123fa58405e68c73cc303d421f4e24f4402de11e94a12269335e4e006544644

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:d2255ab211a67939fe52ebe8ba098528a17b2c50716ecd811818d4b3e638ec86

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:ab94191e234107dd59594ba0075574285741867917fd1fb571822c770d7b63e8

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:616575be06610584d1a3d5f43adaf65c231890c9cb45f1c9fe54d5b07085d0ad

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:16608b382df5dbdacff33d234dff2c3bd58e5e68a9032838ef5a4779bdc0b7b9

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:cfb46d9d31ca90a6d90cb2ec1a88b6eba8ad5a0067f596e3813f1ebce44718d6

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:ec77eeea0d6c4e3ebccdd1c4bcb0d72070a8fd95a0796452de1547f3995047c7

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:2d8e391b28214d9f5aca3d64d334e32c6a44a39b95b3c9a2b0ae5c49b8c7fa9a

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:b220ee1b637bd9346b36018e547329c74049c3ba7651097b1539241e94e2cef3

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:f3fddcda0ddc26451b9416f15cf8cc5afadb49d5dd7a740abb9a89fc567c6aaa

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:bbe0e161ada6330ca6ddb7a3fba9b9e836df56c80daddd0e8a33d2f2e386cba7

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:c186b4286b37757adb3f14f0290a04ea59d4039b9adfee52a4f01eb60969cbc6

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:2ecaf8b3f62f38ce19480a6e272e8e4dcca88b0e7d44c48186d125828c0717a2

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:d09f340852f378fa7ef758f2e208bfb2d09724e97bd22a1186c81b8b93c6ff80

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:0453df66d215cdf2124269235514d74cd0701fe6e05a73e1ad610fc895ccc71d

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:d6ecd69f762944e5d45959f594f6a6fe5af4d587e50daae48f2b6ad4d5031f3d

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:c9dee0fc71ab5c71cce72a10a8287defa662c311d249c2ef80efb08abe1c2e03

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:46c9f9ceb2217783048e0349b7a2dcd082632c0eb22bd5ccfd96e016fbeda86c

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:5d05266be1626482077c035ff135f71f75d6fa2c333a3e92fdc130bd53e98fd3

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:63daef7c112aded1a8b8f7845031faa27392ccb1f48f1d7aece7e4e0d78ca84e

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:a747b7552136758462358258dc5de8efdd9b03978c023cfbc3b78fe44edddafe

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:786820e9040f499ca20b7aabe9ce4e470e3ad89ee745d07e5365aebe0c888b17

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:98ab7d9b8d058bf1f4938733cb44d10fb1f4b52d7f6080bb8fe3f675321b154b

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:8bf3f237efa45dc46d668b3e009c1b9629ad4375881db8df0b7d84ef58089b8b

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:f903ff93126044ebd367cf59eab5b5de88bb506ea4e11b2296e13db70e083f31

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:30ba715e20e5adb7d9057538c41d864d5100cffe99e08e1ae09509e3478d6e02

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 2026-08-02T06:30:47.504484+00:00.

source=pdf_text observed=2026-05-08T13:06:56.964670Z digest=sha256:5b6a7585d597afd3f2dcb86b727050d02b1dd128a03d99310eb534460a7c9098

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=sha256:2673ce5d859282331e6227700fb84dc3ddc493ae586aeabcf2822fce49dea602