Pith. sign in

Paper Citation Record · LEDGER

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition

As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2505.19694.

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

pith.paper-citation-record.v1
2505.19694 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:14:45.630980Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

  • verified exact0
  • verified fuzzy53
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d062d7b0-e3bf-41df-949c-ba2a834a6228 · outbound

This paper cites One-shot unsupervised domain adaptation with personalized diffusion models.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition One-shot unsupervised domain adaptation with personalized diffusion models

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:56.127971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.321505Z digest=sha256:03cc764efbb7811f9004b74ec6758ff5fae2061deb62ad8a6a2f4096ca3aa78c

Observation 5ecc21a0-07af-43af-9e09-ca3506460422 · outbound

This paper cites Uniemox: Cross- modal semantic-guided large-scale pretraining for universal scene emotion perception, 2024.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Uniemox: Cross- modal semantic-guided large-scale pretraining for universal scene emotion perception, 2024

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.969082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.423573Z digest=sha256:c6888919384bee8495ca5875e265302dc5c9e054e0ebc6903487c6298e179d2f

Observation 52c271be-05ea-4b82-9708-9fd698d7f975 · outbound

This paper cites TGCA-PVT: Topic-guided context-aware pyramid vision transformer for sticker emotion recognition.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition TGCA-PVT: Topic-guided context-aware pyramid vision transformer for sticker emotion recognition

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.833122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.496823Z digest=sha256:e8bf9e970850ad9a86479eecb93a8f7f9048edbc0ee88e5c727aeb2a82657b24

Observation 6344787d-e654-42d3-95de-caf1bfc1901b · outbound

This paper cites Perceiving causality in character perception: A metaphorical study of causation in film.Metaphor and Symbol, 31:107 – 91, 2016.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Perceiving causality in character perception: A metaphorical study of causation in film.Metaphor and Symbol, 31:107 – 91, 2016

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.743528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.600653Z digest=sha256:b9faa7781d050e186d2079e035ca9b1f965b1db3c5e1078158a62c09bc9ee094

Observation 36e0f08e-eff4-4222-9a71-f4166b9262b2 · outbound

This paper cites Instructblip: towards general-purpose vision-language models with instruction tuning.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Instructblip: towards general-purpose vision-language models with instruction tuning

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.599615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.649654Z digest=sha256:b2c1f8ba227f5d45d4a64d5199852d15e931385e9c4227e3b115029f0de725e0

Observation 17cdb531-1a04-4e67-8048-465a31105ed9 · outbound

This paper cites Domain-agnostic mutual prompting for unsu- pervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Domain-agnostic mutual prompting for unsu- pervised domain adaptation

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.513863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.707742Z digest=sha256:b3e3e479131012ce1f812d0a5422d39dab716a4da88d5d35779b65bd75eca1bf

Observation 5563daca-9623-48d0-8c24-396357dc2358 · outbound

This paper cites Boosting object detection with zero-shot day-night domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Boosting object detection with zero-shot day-night domain adaptation

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.422530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.830160Z digest=sha256:db352f0e03059e2c67923c888570efbc66bfee22036b544e293f4fbf144b7ebc

Observation dd815e80-f9a2-42e8-8c63-61acd759fbfd · outbound

This paper cites Csda: Learning category-scale joint feature for domain adaptive object detection.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Csda: Learning category-scale joint feature for domain adaptive object detection

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.255777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:40.922518Z digest=sha256:457ff0db2f858c6976cab68ccbbd472740a8ba0f1f3a4fd64153b70a1c57c3e3

Observation 2e58742e-c92e-4341-974e-3a54c16ea484 · outbound

This paper cites Liu, Matthew Peters, Michael Schmitz, and Luke S.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Liu, Matthew Peters, Michael Schmitz, and Luke S

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:55.125904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.026140Z digest=sha256:95cf1856d90f7e26b50f05e44b4d865f5b4606401f7c1742b17611d3793201ea

Observation 92664869-17ec-43df-bfbb-b2600a5e530a · outbound

This paper cites Kingdom: Knowledge-guided domain adaptation for senti- ment analysis.ACL, pages 3198–3210, 2020.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Kingdom: Knowledge-guided domain adaptation for senti- ment analysis.ACL, pages 3198–3210, 2020

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:54.937915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.095422Z digest=sha256:47dfdde4e983a0e6adf283d27fbf6e4a142ee4d8f71f3e85b95f31d482483fbc

Observation 6a666828-d394-4af0-824b-718b6f47c4aa · outbound

This paper cites Prompting Diffusion Representations for Cross-Domain Semantic Segmentation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Prompting Diffusion Representations for Cross-Domain Semantic Segmentation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:41.207368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:41.207368Z digest=sha256:8184b983b1281b1ecea11c6d987c4edab21663dc5e04564be74ef03a82756e9e

Observation e4ef989d-ab61-4772-8686-a9b2df05910b · outbound

This paper cites One network for multi-domains: Domain adaptive hashing with intersectant generative adversarial net- work.IJCAI, page 2477–2483, 2019.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition One network for multi-domains: Domain adaptive hashing with intersectant generative adversarial net- work.IJCAI, page 2477–2483, 2019

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:54.550890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.299674Z digest=sha256:0cb342378ac488d23381cae201b99eeb9125d69402f4213d6999ec829f599b3b

Observation dcfb84bf-11e4-45c1-a444-5302bbffb315 · outbound

This paper cites To- wards open-vocabulary scene graph generation with prompt- based finetuning.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition To- wards open-vocabulary scene graph generation with prompt- based finetuning

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:54.240287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.367711Z digest=sha256:a30817e5a7f39e1b20a92f2c97c277ed5c46633ac018a4e683376d32b6469057

Observation c37e7c8c-12ce-4849-aa89-18cb8ee10ebc · outbound

This paper cites Denoising diffu- sion probabilistic models.NeurIPS, 2020.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Denoising diffu- sion probabilistic models.NeurIPS, 2020

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:41.513757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:41.513757Z digest=sha256:adc3f676013987786626dd88e90cb3d9e4ab68ce69cd8ff2ea1c5f986ead46e4

Observation b635d505-124f-4ca3-a9d0-d56bd271a67e · outbound

This paper cites Lora: Low-rank adaptation of large language models.ICLR,.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Lora: Low-rank adaptation of large language models.ICLR,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:41.572754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:41.572754Z digest=sha256:09b6531744cab4419f85858cb87b91b1c83913232bb437a595e8f4b7d60dc777

Observation 7e7f37e4-5b5f-4163-8780-233260afedf4 · outbound

This paper cites Busson, ´Alan Livio Guedes, S´ergio Colcher, and Ruy Luiz Milidi´u.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Busson, ´Alan Livio Guedes, S´ergio Colcher, and Ruy Luiz Milidi´u

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:53.999519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.608887Z digest=sha256:c268e996c4aeae576bbbd56948244afe9f1e002b17c731bf05d7ebe203668a39

Observation 4b6638d7-4162-4763-9a36-3ff67ad7dc1e · outbound

This paper cites Dgin- style: Domain-generalizable semantic segmentation with image diffusion models and stylized semantic control.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Dgin- style: Domain-generalizable semantic segmentation with image diffusion models and stylized semantic control

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:53.733603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.646702Z digest=sha256:62dfc9cb36d96368b7301e05172b386059f23e748e7e7baf811ecfcc02434b7e

Observation 85f8be14-e785-4f3f-b945-8c170529c1bd · outbound

This paper cites Difnet: Semantic segmentation by diffusion networks.NeurIPS, 31, 2018.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Difnet: Semantic segmentation by diffusion networks.NeurIPS, 31, 2018

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:53.576139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.751850Z digest=sha256:91fa517c811bda2eec7918c88e53604b39d5ef21ef52200dda9ac8a092da6efd

Observation 4c90b5dc-fc2d-4f44-bc9d-ec4db18dbd48 · outbound

This paper cites Podia- 3d: Domain adaptation of 3d generative model across large domain gap using pose-preserved text-to-image diffusion.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Podia- 3d: Domain adaptation of 3d generative model across large domain gap using pose-preserved text-to-image diffusion

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:53.346203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.844268Z digest=sha256:d57cb69a71c6117c5b715c3440c9700dbe1d5a4a630f8d767ff54deaa7fb61db

Observation 315d86e1-00e1-453c-be94-50e0e2d4a732 · outbound

This paper cites Text-image align- ment for diffusion-based perception.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Text-image align- ment for diffusion-based perception

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:53.085119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.921918Z digest=sha256:c97f6e57d7f2f2d8464629c7ee4b9e73ea07387d962c465a3ebefef32529a986

Observation ae984ebe-fd08-4e02-bb7a-68a0bdaa31c4 · outbound

This paper cites Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Padclip: Pseudo-labeling with adaptive debiasing in clip for unsupervised domain adaptation

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:52.840142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:41.985333Z digest=sha256:00bf46ca071413b935cdbd130b38d60b09c9078eec9ca0d4e300dd2b4099eb35

Observation e652fbf2-5078-4b5c-8ad6-75d5279dc6a2 · outbound

This paper cites Diffusiongan3d: Boosting text-guided 3d gen- eration and domain adaptation by combining 3d gans and diffusion priors.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Diffusiongan3d: Boosting text-guided 3d gen- eration and domain adaptation by combining 3d gans and diffusion priors

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:52.663548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.062314Z digest=sha256:f0fd92d761c55814a793f76d1eb2a2f1bd58e9ed8a4883353bccdd4fed000c56

Observation d819ca9c-52f6-499b-8625-ed1cb986855d · outbound

This paper cites an unresolved cited work.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T14:14:52.460285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.133538Z digest=sha256:6f2afdca7d6d38eacb790d3c7cde52ecd4069d9244d18fea5d82ee1f431d5056

Observation d5f7fbf1-cc17-40a6-b181-02378959aab1 · outbound

This paper cites Split to merge: Unifying separated modalities for unsupervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Split to merge: Unifying separated modalities for unsupervised domain adaptation

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:52.277424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.194928Z digest=sha256:beedd1b703755a2f17167d0b4c9d32c5bfaf722e23513a533ce74da8c718a16a

Observation fab1e0e1-b0b3-4a2a-8877-60440665d796 · outbound

This paper cites Feature pyramid networks for object detection.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Feature pyramid networks for object detection

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:42.275820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:42.275820Z digest=sha256:a3615bce39094001306095a50bfd9fc800700f51c11c976ada29b52a60b2a092

Observation 8818da89-dac6-4d96-8ae0-2fcacaefb96c · outbound

This paper cites Visual instruction tuning.NeurIPS, 36, 2024.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Visual instruction tuning.NeurIPS, 36, 2024

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:52.018156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.380683Z digest=sha256:6443f50c7ea0476c0e7f3e05e71a3e8a617f915c26ffe4d220b66c4c3af077b6

Observation 45284e57-d492-47bc-bc8f-44742afdddfe · outbound

This paper cites SER30K: A large-scale dataset for sticker emotion recognition.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition SER30K: A large-scale dataset for sticker emotion recognition

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:51.846676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.460907Z digest=sha256:1c4fc25c538ad14f397815a3ceaee7a411fa72c643e5b81d469883a1b9e12caa

Observation 1d349a3d-5187-4f5f-b10e-7a2bd9762f8e · outbound

This paper cites Affective image classi- fication using features inspired by psychology and art theory.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Affective image classi- fication using features inspired by psychology and art theory

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:51.629495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.533540Z digest=sha256:a9eed3dd5070ef169931b63c06b5d3782ba3217daddd21fd45ab9af906f702db

Observation d20271aa-371a-40db-9936-bdc15f6c1df0 · outbound

This paper cites Schmidt, and Tim Fingscheidt.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Schmidt, and Tim Fingscheidt

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:51.438802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.611380Z digest=sha256:3e61a29372cf346e552955e4fbb69989942034db9f8a6ee30442d8316232d4be

Observation 584a7432-e040-41c6-8408-e0d2b8bc3100 · outbound

This paper cites Roy-Chowdhury.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Roy-Chowdhury

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:51.276933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.662599Z digest=sha256:ea3ebdafe3ca10a93637d8d288a04795fef6217354bee27e1117ae19923ad35f

Observation e50cfdd4-4a2b-43f5-8cbe-31193d5332e7 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Pytorch: An imperative style, high-performance deep learning library

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:42.731639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:42.731639Z digest=sha256:ea9e59d95cac7e2d654a5e688e4357241031d39c3ef3cb8dab7568bf082a6486

Observation 2268ea21-4a69-407c-bb4a-55070f33285b · outbound

This paper cites Models, reasoning and inference.Cam- bridge, UK: CambridgeUniversityPress, 19(2):3, 2000.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Models, reasoning and inference.Cam- bridge, UK: CambridgeUniversityPress, 19(2):3, 2000

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:51.080966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.802258Z digest=sha256:77d3a35925c5db72e2a95ca87a613609b064df35b128481c6c77813a7c339dbf

Observation ed7d3b33-1fe2-4360-ba5f-64c8e142ffb6 · outbound

This paper cites Flype: Multitask prompt tuning for multimodal human understanding of social media.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Flype: Multitask prompt tuning for multimodal human understanding of social media

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.834784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.930489Z digest=sha256:01fc940ac7d78a53212c1a9d061ba94a227f456d6104f70b69ec99c1b4fb04d2

Observation a9b6a9d5-29ba-435b-ad20-f746ecf89cb3 · outbound

This paper cites Gallagher.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Gallagher

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.607763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:42.997363Z digest=sha256:d38a74c7736a59383da222f7fa37055ba23c91f939c32b6b15c4163270a9d4ed

Observation b4f2b14b-029f-45e0-843d-63aeb5d8d08a · outbound

This paper cites Where do emotions come from? predicting the emotion stimuli map.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Where do emotions come from? predicting the emotion stimuli map

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.344752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.083453Z digest=sha256:69f8f228c5241ed9a97eafac55d4dffbc6811024fc039e48ba350a9455977c29

Observation 0a3cc9f9-0444-498a-b722-b5dc00a9d1ea · outbound

This paper cites Hierarchical Text-Conditional Image Generation with CLIP Latents.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:43.158515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:43.158515Z digest=sha256:8960bee9e30810139d5ac862cc61e89646981115dd6e169aff6b01831b214434

Observation 8ca4504b-a1ea-449f-a5df-3765b841b0f4 · outbound

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

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition High-resolution image syn- thesis with latent diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:50.145708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.236613Z digest=sha256:570c232be83c15e6bc51e1d291fc0d8b24c4de3f353987924a1a669071e4101c

Observation f934d2b2-61f5-4cc3-b524-c09180633f99 · outbound

This paper cites Rosin, and Liang Wang.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Rosin, and Liang Wang

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.936038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.285648Z digest=sha256:4a219407395e57354a0b94c2176292ce0bacc72664b13e359a1a1c798c5caf38

Observation 5592426a-b67d-4d4f-9c35-49ca29740af6 · outbound

This paper cites Ad-clip: Adapting domains in prompt space using clip.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Ad-clip: Adapting domains in prompt space using clip

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.728728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.344187Z digest=sha256:15114fe93f907a5a8827605f945218eac76cd01592504a41d578bfa64bbab84f

Observation 97a5a24e-7b55-44ff-9d99-b1b7b214abad · outbound

This paper cites Deep discrete hashing with self-supervised pairwise labels.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Deep discrete hashing with self-supervised pairwise labels

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.508838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.400669Z digest=sha256:8e47fd9a54f2a917cd0493828de7fe4e00435fa5e0060284c5f3f31972cb3bf6

Observation 590cde79-cdae-4102-af9a-717c2531dc43 · outbound

This paper cites SKEP: Sentiment knowl- edge enhanced pre-training for sentiment analysis.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition SKEP: Sentiment knowl- edge enhanced pre-training for sentiment analysis

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.279607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.461263Z digest=sha256:43759b33cc5bb86b79b7cf2473e75f0ef80dddefbda1e8499e6be6ea5b350c11

Observation 72674baa-836d-43c9-a8c9-1163322f4532 · outbound

This paper cites Neural discrete representation learning.NeurIPS, 30, 2017.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Neural discrete representation learning.NeurIPS, 30, 2017

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:49.057783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.504170Z digest=sha256:9aa3e88e7d6bf77b2259cbd7e52bb190105bb092a46ce9a5f5834a0a076ed449

Observation e87a55ca-35b8-47f3-ab41-23f670dc6e24 · outbound

This paper cites Visualizing data using t-sne.JMLR, 9(11), 2008.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Visualizing data using t-sne.JMLR, 9(11), 2008

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.828546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.553869Z digest=sha256:165d9dd331649eb0a17ab1c4d67e9000d961ea703ce11751f0c102e590083969

Observation a7fe95c0-b04c-472c-b58f-9490558ec40d · outbound

This paper cites Attention is all you need.NeurIPS, 30, 2017.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Attention is all you need.NeurIPS, 30, 2017

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:43.611471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:43.611471Z digest=sha256:8fb44cf63906e3c3c168bb4132f1f46b875c3a2f3cc4e28d30fb055cc83debca

Observation 1c115e0d-b149-493c-b72c-a076d632a586 · outbound

This paper cites Metaalign: Coordinating domain alignment and classifica- tion for unsupervised domain adaptation.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Metaalign: Coordinating domain alignment and classifica- tion for unsupervised domain adaptation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.564114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.664539Z digest=sha256:e38c6352e30de0953786ab9290396bd3e960de8ce8b96d719455d132dcaea829

Observation 90056322-b70c-4348-b25b-19a4e62cc8a7 · outbound

This paper cites Imagine that! abstract-to-intricate text-to-image syn- thesis with scene graph hallucination diffusion.NeurIPS, 36,.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Imagine that! abstract-to-intricate text-to-image syn- thesis with scene graph hallucination diffusion.NeurIPS, 36,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.404803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.744936Z digest=sha256:5539b17328e60c1c61f0638420c171d68bc4ea7b3b69a702a3aa0191e76c1b9e

Observation 141e5ff5-f365-4ecb-948c-52f5828c36c4 · outbound

This paper cites Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Diffumask: Synthesizing images with pixel-level annotations for semantic segmentation using dif- fusion models

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.235527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:43.884658Z digest=sha256:c62096a6940a8c2c1861c443d9893e12b2b0ca695a27d32d2e74269f36732ad0

Observation 6cac7199-0b3b-46d1-82cd-de77c6b0156b · outbound

This paper cites Emovit: Revolutionizing emotion insights with vi- sual instruction tuning.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Emovit: Revolutionizing emotion insights with vi- sual instruction tuning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:48.066866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:44.082231Z digest=sha256:f3ca04bff87d18c86b3733306642eee24b86f4bc49dfc1b707618187771a58f8

Observation a46f0c50-cb89-4097-b402-cd14eb9151b4 · outbound

This paper cites MDAN: multi-level dependent attention network for visual emotion analysis.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition MDAN: multi-level dependent attention network for visual emotion analysis

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.933362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:44.179957Z digest=sha256:c279d4e63819b6d51882fb5657ac55f1773d94236842b8934de208f6837e003e

Observation 4df1a523-28e7-4b63-9663-e208fde2341b · outbound

This paper cites Robust emotion recog- nition in context debiasing.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Robust emotion recog- nition in context debiasing

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.756380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:44.311229Z digest=sha256:7ae83f4c974ab0a1c8f5427728170d4e1d1a82b83a2649b63029656919c6e437

Observation ba386c3b-62f4-4238-acfe-32c59c838cb9 · outbound

This paper cites Stimuli-aware visual emotion analysis.IEEE TIP, 30:7432–7445, 2021.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Stimuli-aware visual emotion analysis.IEEE TIP, 30:7432–7445, 2021

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.597226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:44.452542Z digest=sha256:4a3981989f14cc4f00034d3835afa437697bb1dc34e083bd5ab5ac02bf0f2779

Observation e4e70c4e-daec-4e1b-b48a-0e4284934f87 · outbound

This paper cites Emoset: A large- scale visual emotion dataset with rich attributes.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Emoset: A large- scale visual emotion dataset with rich attributes

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.360967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:44.601550Z digest=sha256:2d8d4edf9eb9d728e37e97d73dedee73a2d4aa90eb6d600430e7e4e8a0542330

Observation 1f7a40f5-ca07-4e39-805f-c644f5f09582 · outbound

This paper cites Emogen: Emo- tional image content generation with text-to-image diffusion models.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Emogen: Emo- tional image content generation with text-to-image diffusion models

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:47.154575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:44.749948Z digest=sha256:8e6f13865f1a07ad7b92b5fec917a1aeff18e2fee04f28006ed8c28e5d4cfb14

Observation 58252644-6b6d-4f4f-9d33-a1423eccbfe2 · outbound

This paper cites Visual sentiment analysis by attending on local image regions.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Visual sentiment analysis by attending on local image regions

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.979820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:44.896223Z digest=sha256:a20c2af674cb9132a0f4323a0e41cbbd142f82c6efcd4f7f4b141aaa16063507

Observation d6bad192-53c6-4d76-9570-d497c18a1265 · outbound

This paper cites Zero-shot emotion recognition via affec- tive structural embedding.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Zero-shot emotion recognition via affec- tive structural embedding

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.767160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:45.013929Z digest=sha256:9c6ecdb6a262ed1754261d3257054c9c7930ebf3fe569fe0d4981a397eead90b

Observation 09efe03d-4b48-4652-bcca-295fe04079d6 · outbound

This paper cites Learning emo- tion representations from verbal and nonverbal communica- tion.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Learning emo- tion representations from verbal and nonverbal communica- tion

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.567114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:45.104802Z digest=sha256:d174f29926873501e98d95e816d18d32bab4936a7bc52748e56496ecf39d43ed

Observation 3219b782-3187-4b58-8a04-e137a074ca12 · outbound

This paper cites Pdanet: Polarity-consistent deep attention network for fine-grained visual emotion regression.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Pdanet: Polarity-consistent deep attention network for fine-grained visual emotion regression

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.396004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:45.186362Z digest=sha256:bc9c094e96029bbe6038950639e886715b867a0e5b09a1a5f47534de0fc810cc

Observation c8345f1f-9fad-410a-88ab-546a129585d3 · outbound

This paper cites Cycleemotiongan: Emotional semantic consistency preserved cyclegan for adapting image emotions.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Cycleemotiongan: Emotional semantic consistency preserved cyclegan for adapting image emotions

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.246924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:45.271887Z digest=sha256:4dad9f8b77ecd303694f47d6648e6ced8278d76db893d83f629015a60cbff112

Observation af660e4b-b24b-431b-af18-e009589c03c7 · outbound

This paper cites Sticker820K: Empowering Interactive Retrieval with Stickers.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Sticker820K: Empowering Interactive Retrieval with Stickers

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T14:14:45.368377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:14:45.368377Z digest=sha256:0064c471cad102a1241eecc449d6f20353b55ad6abc22694cada8ede87b01eb1

Observation eb379445-b8d0-442e-a210-8483d8c93ce9 · outbound

This paper cites Unleashing text-to-image diffusion models for visual perception.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Unleashing text-to-image diffusion models for visual perception

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:46.116676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:45.436854Z digest=sha256:085a5a759625881c24d67cd61d72cf082c080ebd05396181ca1faa20b9d70fe1

Observation bd24879e-6156-4100-b583-c268b08286c2 · outbound

This paper cites A fa- cial expression-aware multimodal multi-task learning frame- work for emotion recognition in multi-party conversations.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition A fa- cial expression-aware multimodal multi-task learning frame- work for emotion recognition in multi-party conversations

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:45.972224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:45.557229Z digest=sha256:36859a584f860380b2ff9c00608f044c8ef0cc147cd0a9327ea0fa5c03fa2075

Observation b5536fa0-70fe-4335-a2f8-c964d1bc1cae · outbound

This paper cites Bridge then begin anew: Generating target-relevant interme- diate model for source-free visual emotion adaptation.AAAI,.

Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition Bridge then begin anew: Generating target-relevant interme- diate model for source-free visual emotion adaptation.AAAI,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:14:45.812684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T14:14:45.630980Z digest=sha256:2c6e63e893ac8edbbea4fc067a03eb09cf7513a636439f62ae61e158f9eabaef

Pith citing papers

No inbound Pith citation observations are available.