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Paper Citation Record · LEDGER

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach

As of 15 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2507.02205.

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

pith.paper-citation-record.v1
2507.02205 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:40:01.600512Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved6
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5718c254-6aec-4455-ae8d-c268ebe69a71 · outbound

This paper cites Wavlm: Large-scale self- supervised pre-training for full stack speech processing.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Wavlm: Large-scale self- supervised pre-training for full stack speech processing

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:05.751255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:39:59.591333Z digest=sha256:944541f352ca453a2572e5f4355f54e607b946ea91ad88caca55ab96c5d09432

Observation 5c575b66-501c-45a9-b200-1b8bdfbc3c96 · outbound

This paper cites Transformers are ssms: gener- alized models and efficient algorithms through structured state space duality.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Transformers are ssms: gener- alized models and efficient algorithms through structured state space duality

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:05.601559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:39:59.701502Z digest=sha256:6053478e2135a08dcfecd3098d7a7a2334c808489ad2680131037eb1d9bbe714

Observation 499e9145-795c-4b03-91c2-ebd09bec9d3d · outbound

This paper cites ABAW: Valence-arousal estimation, ex- pression recognition, action unit detection & multi-task learning challenges.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach ABAW: Valence-arousal estimation, ex- pression recognition, action unit detection & multi-task learning challenges

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:05.421912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:39:59.808357Z digest=sha256:34bd046e87e4b5c0eeaa3afdbd8151950c818f2bae21c28eac7fcf5369ce46df

Observation 66861f33-4a8f-44ca-944a-160b884ba7a2 · outbound

This paper cites ABAW: Learning from synthetic data & multi-task learning challenges.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach ABAW: Learning from synthetic data & multi-task learning challenges

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:05.246209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:39:59.872940Z digest=sha256:4e95ad97bdec306684ee3987db7446050899c6488504177076bd3a5d2fb23ed0

Observation 5742ca1a-d8c5-45e9-8b73-942aa8cd99e1 · outbound

This paper cites Multi-label compound expression recog- 6 nition: C-EXPR database & network.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Multi-label compound expression recog- 6 nition: C-EXPR database & network

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:05.082047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:39:59.944848Z digest=sha256:5e9d6e838be3a926b84827f80e13ca1e462f0f313cb415feb00477cf91b916f3

Observation 92a119e0-7a61-49e3-ac91-c593b14d840f · outbound

This paper cites Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Affect Analysis in-the-wild: Valence-Arousal, Expressions, Action Units and a Unified Framework

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.027476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.027476Z digest=sha256:2e4fd78ab243e8a061b0feabdc43895f17c8d3e93ea5a4515b666a5369859aa3

Observation 4f82ec77-5296-465f-b052-123ca55041ef · outbound

This paper cites Analysing affec- tive behavior in the second ABAW2 competition.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Analysing affec- tive behavior in the second ABAW2 competition

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:04.794495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f05307f-ec58-4037-aa3a-64adf0861ce1 · outbound

This paper cites Analysing affective behavior in the first abaw 2020 competition.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Analysing affective behavior in the first abaw 2020 competition

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:04.530227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:00.210130Z digest=sha256:bd8542d8955e15f756a4c777c58c58d819d0cb327c698684fb695bd7fb94a02f

Observation 9b183f85-a045-41f7-8105-59608261b6b1 · outbound

This paper cites Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Distribution Matching for Heterogeneous Multi-Task Learning: a Large-scale Face Study

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.334982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d0525a77-f3d7-46dc-9f1f-614afac288a3 · outbound

This paper cites ABAW: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach ABAW: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:04.218380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:00.428668Z digest=sha256:56ec9956e6455c9793b2eeae799a95f91e98e511e61ce4e6d82947fd2bd1a1b0

Observation 390dd9b4-a98d-4789-96b6-cfc01f55153f · outbound

This paper cites Distribution matching for multi-task learning of classification tasks: a large-scale study on faces & beyond.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Distribution matching for multi-task learning of classification tasks: a large-scale study on faces & beyond

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:03.958515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:00.528487Z digest=sha256:12da312a37bf10022fc4a359dcf1a28e7fa6d840b729fb5a6beb1e8057febe33

Observation eb513b84-890e-479a-b3a8-f0ee24021bdf · outbound

This paper cites The 6th affective behav- ior analysis in-the-wild (abaw) competition.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach The 6th affective behav- ior analysis in-the-wild (abaw) competition

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:03.678488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:00.584972Z digest=sha256:4cb8a62ff8b9dce203664b5a0412768ed8393cbc1b9ac66f307f85b8118d11be

Observation 6ac21f2e-bdcd-403b-a761-f94ac6c32002 · outbound

This paper cites 7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach 7th ABAW Competition: Multi-Task Learning and Compound Expression Recognition

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.634017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.634017Z digest=sha256:7ee0a96e87f5c2276134b0837fbbc4acf5733b2e803f52a5f52c975272109067

Observation a4119882-8400-43e3-9f5c-2714479a7099 · outbound

This paper cites DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach DVD: A Comprehensive Dataset for Advancing Violence Detection in Real-World Scenarios

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:00.706801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:00.706801Z digest=sha256:bcfad25d3343ef8eea915c53ed2644e511245f069ae564507357ab5f737cd368

Observation bf608305-8ecc-45a4-87a7-3d5016d67d99 · outbound

This paper cites Ad- vancements in affective and behavior analysis: The 8th abaw workshop and competition.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Ad- vancements in affective and behavior analysis: The 8th abaw workshop and competition

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:03.461826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:00.830337Z digest=sha256:7f4729016705bf2768e823864e626b70cc59ed4b734608e0dfc8447591acbc58

Observation 17fca7e8-1cf5-4a13-b8c0-942893fcee58 · outbound

This paper cites Compound expression recognition via curriculum learning.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Compound expression recognition via curriculum learning

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:03.271586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:00.936374Z digest=sha256:a8b4a3eff9aee4600cecd8785db6327d9035b97486f5ba6393bcb1fdab12fcc8

Observation 0bbc3bdb-fe08-4f93-b678-461a60565875 · outbound

This paper cites Abaw7 challenge: A facial affect recognition approach based on transformer encoder and multilayer perceptron.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Abaw7 challenge: A facial affect recognition approach based on transformer encoder and multilayer perceptron

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:03.044780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.046922Z digest=sha256:a928ea2a1b5267643bd2deea99a236795f0aa43d2eb7d18d2d4e09a71d986107

Observation 20fd050f-54cf-415b-a057-53d91052698d · outbound

This paper cites MediaPipe: A Framework for Building Perception Pipelines.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach MediaPipe: A Framework for Building Perception Pipelines

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.116132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.116132Z digest=sha256:adfdc5e3e737b105db762a45c4aacff3832ad7b90f83258c95ec32de2f84cee5

Observation 7f6121c5-6004-454e-87c7-ff6a216ccf3c · outbound

This paper cites Learn- ing transferable visual models from natural language super- vision.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Learn- ing transferable visual models from natural language super- vision

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:02.669385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.175740Z digest=sha256:3670622d189582cee69e60fcd9a075fa4b3f3f2cdf6df07681d82298794b51fa

Observation 2e2efd7e-1fb2-4d4a-a251-d790a7d917a1 · outbound

This paper cites Textualized and feature-based models for compound multimodal emo- tion recognition in the wild.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Textualized and feature-based models for compound multimodal emo- tion recognition in the wild

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:02.356040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.239307Z digest=sha256:5a28d75fd5138df80cfb68c1dc7c0ab08e92a88c2f84822cc43cdc01bb769a54

Observation 5ccc9c5e-9990-4e9e-b31b-869bf641b91d · outbound

This paper cites In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:02.258579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.297256Z digest=sha256:ae683879f76409ce257f142501801daa79c5070708a35676264de151f752e074

Observation 30c06cf6-bd49-41af-90c0-c417fabeea72 · outbound

This paper cites Zero-shot audio-visual compound expression recognition method based on emotion probability fusion.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Zero-shot audio-visual compound expression recognition method based on emotion probability fusion

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:02.139734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.354641Z digest=sha256:c51a4318d1d3ce37a94637ff346aa4469094ecc76ba8203d682f1615fe1358c5

Observation 9e92ac6a-5be4-41bd-8061-f7721edff202 · outbound

This paper cites Smoothing predictions of multi-task emotinet models for compound facial expression recogni- tion.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Smoothing predictions of multi-task emotinet models for compound facial expression recogni- tion

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:02.041626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.420266Z digest=sha256:1e43ee2046ed78b52f052175b067266e2358535f4f9f6bb29c1bf92a8638bd3b

Observation 0ff7f9f8-bc35-4b85-8e2d-30519fed307d · outbound

This paper cites jina-embeddings-v3: Multilingual Embeddings With Task LoRA.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach jina-embeddings-v3: Multilingual Embeddings With Task LoRA

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T20:40:01.484714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:40:01.484714Z digest=sha256:0aee60b08a2cf707f22d810f04c9f07ced6bd9eca72c49199590d7d0cbefcfcc

Observation 5f8fe50c-88bb-407a-af02-28e8860a007b · outbound

This paper cites Attention is all you need.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Attention is all you need

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:01.912851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.536398Z digest=sha256:b9f11dfc32966c5b2a96c334f3be11e92c0210aca2ca1cbd3e119d2fe20a4282

Observation d5949ac1-f217-46ff-98bc-e93aa637ad20 · outbound

This paper cites Soft focal loss: Evaluating sample quality for dense object detection.

Team RAS in 9th ABAW Competition: Multimodal Compound Expression Recognition Approach Soft focal loss: Evaluating sample quality for dense object detection

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T20:40:01.800052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T20:40:01.600512Z digest=sha256:f23e5b5d93525cbcb0b75acccd415ba5d1a4551c8b0ac022369648a26f29ede3

Pith citing papers

No inbound Pith citation observations are available.