Pith. sign in

Paper Citation Record · LEDGER

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis

As of 16 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2412.08489.

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

pith.paper-citation-record.v1
2412.08489 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:49:44.663027Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:33:00.575754Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved26
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

0
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

Observation a1be524f-edb9-4ebb-8840-629987b7a75b · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.498826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.498826Z digest=sha256:455d48b6f2d3d1f5a2f3ca35b77d1dc6751b70a1edb28b6110d5ca839a999462

Observation d41d86c9-965d-4231-88f7-926b1cefda43 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.283994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.504623Z digest=sha256:71c105219eb580a3f463fa182241af0f7df17cb45587ec95b47928add71fd54d

Observation 9a5a1462-f623-4061-805a-f4cecd216c3e · outbound

This paper cites Cambria, Soujanya Poria, Rajiv Bajpai, and Bj \"o rn Schuller.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Cambria, Soujanya Poria, Rajiv Bajpai, and Bj \"o rn Schuller

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:49:45.267435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.509853Z digest=sha256:1ea7c9d011acf4166d15999925a93974f0a51ef3224433c3bb76e86837373f11

Observation 0c0640f5-ac48-4fe7-8188-12bff4422087 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.249444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.515053Z digest=sha256:64729073b6b73e7d907757b9a169c57c70ff2625fe47460f9af7ea500f81eb60

Observation 94d3ad06-af24-41e5-9972-e30c5d289e90 · outbound

This paper cites DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis DeepSentiBank: Visual Sentiment Concept Classification with Deep Convolutional Neural Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.521297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.521297Z digest=sha256:21531f05a64dace87046f4ea848dcb779ee1f45ee387360420e5d1b3bef4f3d9

Observation 09be215d-2a25-4c8f-90cb-d787f7bb13f0 · outbound

This paper cites Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.527030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.527030Z digest=sha256:d7fa8f07fa6c2fcd188fd44c0f0089b262442bf3e64db4a42c03ef4507e64736

Observation e97bae99-b477-46f0-93b2-297304520ee2 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.532241Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.532241Z digest=sha256:d21e93d9e08fe6aa6b847efdd605c283aa17d5347afbef009da9811d62344d9c

Observation 913c6765-2a59-43f2-8780-3548832bad2f · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.230860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.536691Z digest=sha256:66f6b1d465051d7a25ffd46857c913b9a327126c6b48f6832c0fcfdf94888c9b

Observation b141fc6c-76a0-4a38-afad-9fc3e223c5bd · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.541578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.541578Z digest=sha256:154054eca29a44e5530eee3c9ea5a1ab72f5e09712cfbf57f201dac80cc583dc

Observation c23d2fc6-7299-4f0c-9960-e4526eaf84bc · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.191887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.545985Z digest=sha256:77c068a2f4f5b24135fd3911537c0044e843296a247a952189d6b344eacb2771

Observation f3eb4b7e-520a-442e-8c65-3ab1891bfa6d · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.550812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.550812Z digest=sha256:31e9eb2b79ee82ae13b23fe4407a61d92f02ee5f3f4a1dfc90ca00e487367ad9

Observation dd0ec9ed-3c59-4926-a8e8-08c918797629 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.170059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.555819Z digest=sha256:2d693cb2500fd25de7e3245d5b040eb9a67867163d867f00f7f2debfac960785

Observation b9f09ee8-e904-4493-8c97-524377d813dd · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.143159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.561149Z digest=sha256:8a1de23ae164e93b91f5fccb4ce96d1f00f52afe1bccb27da30cb165e993d157

Observation a98b8c2e-ef7f-4d66-a5c5-e88233b39e04 · outbound

This paper cites Competence-based Curriculum Learning for Neural Machine Translation.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Competence-based Curriculum Learning for Neural Machine Translation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.566281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.566281Z digest=sha256:4be99a2d0fa7019fc9366337fb967d7b5354ecb4accfd0fa67f6b2ee57628c93

Observation bf05d6f0-6974-4454-b284-6261d806a4df · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.572609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.572609Z digest=sha256:9728b2e53f96db41d19f831fb9af5cd6c71726b963a0dc1f062747d9fc72596b

Observation 607fbf43-ecf1-47a3-9150-770e1e8c7fcd · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.577873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.577873Z digest=sha256:1ce7cc98ec5593cb7d1e26998414f72f90cbd788ef4d1134468799a34fa10e6b

Observation 4a70ac6a-a65f-42c4-8f8b-ad14b573ea1f · outbound

This paper cites RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis RpBERT: A Text-image Relation Propagation-based BERT Model for Multimodal NER

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-11T17:49:44.802960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.582726Z digest=sha256:755d66a4ac5237b73ceee1d30c0fad9e7fb6b2ce0a966dfb3d3f28ef11256f4f

Observation 04375add-699e-44a4-9bd3-f09718cdcb62 · outbound

This paper cites Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T17:49:44.777397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.588171Z digest=sha256:7377ca6fdd653a6b96f9e4052d32c4fcd0e83673f26477dab2afabad88bc81b5

Observation abe027a1-fdff-4fad-b03f-ac90721a2898 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.066390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.594757Z digest=sha256:5f5c1302fd21e10c345d1524bb8b22ea6c8c5e5f384e546ccb6de9e86e0b26e9

Observation 044181d2-b35e-4ffe-bec7-04fa870eb108 · outbound

This paper cites Cai, Junying Chen, Ho fung Leung, and Qing Li.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Cai, Junying Chen, Ho fung Leung, and Qing Li

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T17:49:45.042997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.600183Z digest=sha256:acd0ebdaf05e878c8d2b620b4041a1badf6aff1905d52d30fa67c22b0f3a60a7

Observation 5ebc9568-e695-4e6c-a620-c9905b5c266b · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:45.020358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.605774Z digest=sha256:0ad6fea474e857d2ead90a1911104e67a76300756ef4f2addd5236ebbf1f2d66

Observation a2cbe7dc-5c28-47c0-ab42-339626bfe55c · outbound

This paper cites A Unified Generative Framework for Aspect-Based Sentiment Analysis.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis A Unified Generative Framework for Aspect-Based Sentiment Analysis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.610939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.610939Z digest=sha256:836564efe846aa59c6c4d5cbeac796f597578e246c73f525096c3b67e9adecd9

Observation 8745ee6a-e84a-4115-971d-a312295575fc · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:44.998239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.617730Z digest=sha256:8eab35b782cbbabf3387b293b91a5943f2ed4c6e3a833157cd85910028a2314f

Observation ef72fa8e-6ddf-47bc-a405-4a2c0cffface · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:44.978633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.622619Z digest=sha256:f76c49004265886113273c260686ba753d8c94cde032f1cfac01c8a4f71ddfd3

Observation 5b5556a7-22d9-4272-979b-28a261590f84 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:44.962226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.627399Z digest=sha256:c8bda7b7c62fbdcc17676d6e0fe58935c88c68ee03fd1146fac52b987f876f38

Observation 8514bc4f-eaea-4869-8671-bb4ac4c1f4d0 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 26

Resolution
verified exact
doi, observed 2026-08-11T17:49:44.720778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.632213Z digest=sha256:d7149d51eb8253497b92284b27b5903f8719123c408c2c20ba1325e1ed50da26

Observation b3268506-c19d-4132-8ba0-a6d65a919632 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:44.944680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.636928Z digest=sha256:066791c6ea2036c827fe58dcb4616a817125b2a8a105af6361135afa6e0b252c

Observation b7e349db-bca1-47b5-b887-87a83e10db34 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:44.927651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.642555Z digest=sha256:6ee7d6ca01f52e0a5a795c65dc54be2b951736bde2d3e3eb2a1d0d2f526bf568

Observation 6131d362-3dd8-4d71-9f61-43fdea89d8f7 · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 29

Resolution
verified exact
doi, observed 2026-08-11T17:49:44.703389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.647593Z digest=sha256:9c268e753fbe31a4d09b75c833fabd0ad39f8c06a820ff7381c6a89e1b74b9b1

Observation a4a2baf6-422a-4410-b793-bee007e410dd · outbound

This paper cites an unresolved cited work.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T17:49:44.908593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.652464Z digest=sha256:c7aa1ecf04f4214d58750bc33b981bb515e79f3af331d41001e8423600942ecd

Observation fd446d86-6722-4b1f-a642-f06db7950343 · outbound

This paper cites online" 'onlinestring :=.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis online" 'onlinestring :=

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.657488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.657488Z digest=sha256:00434d270bbce6f88596d74dd7b915335f11f7d4896cd42521cfccf83677e633

Observation c0858204-553b-487c-af35-8b67747628f4 · outbound

This paper cites write newline.

A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis write newline

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T17:49:44.663027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:49:44.663027Z digest=sha256:e6e03e8ce0d7fd3849f1788555fce7255ccd3dd8f0887a1c5a6dd968f544be55

Pith citing papers

Observation 260f25aa-c3c4-4660-90da-b9f1ebd54390 · inbound

CLAMP: Contrastive Learning with Adaptive Multi-loss and Progressive Fusion for Multimodal Aspect-Based Sentiment Analysis cites this paper.

CLAMP: Contrastive Learning with Adaptive Multi-loss and Progressive Fusion for Multimodal Aspect-Based Sentiment Analysis A Dual-Module Denoising Approach with Curriculum Learning for Enhancing Multimodal Aspect-Based Sentiment Analysis

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:33:00.694103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T15:33:00.575754Z digest=sha256:e5f3593518989634c032aa975bddc4200e9e8d6d9cf7d73ce24cc4dafe079d11