Pith. sign in

Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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=sha256:902a00a784185c204cb562d72c557c57e3051ce84e23038bdc00ee3b4dacce5f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.504623Z digest=sha256:8877fbfda2a867df8543b1a184c4f796a664da93b89079b23bb37bc09cbd85d1

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.509853Z digest=sha256:9a7561df0a685be56ea3cf7311487fcdbc0d34b0aa70bee0f01f478f51449044

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.515053Z digest=sha256:1c0801583406514d855f96f178ed9aea0a792df4626f206d240520de4daec8a2

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=sha256:8705171757566145001faaf10e82a415f884ceda69ef53067cb2c24c7851039f

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=sha256:9d9845e45b3ddf1598da8554b906f008baaeb5e6faa1c68548c10f55ef72a499

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=sha256:55bb13ce9262cd17ee5ebfa103ea0ebcdbd54811c25c462cc56b142a18b10862

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.536691Z digest=sha256:be48fe1efe17d2268f4b92dc5d262208cc342e721742506b0698ccd0b405fcaa

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=sha256:3ebc03617e4d6b58f1468616bfcfe1aa55e433827700e90ee15eee91d4e33186

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.545985Z digest=sha256:ad8c4cdbad11432ba9b442c4dc7f8b4524e4217c556d549d9465e5b29dc70957

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=sha256:410229872d7479013f63056507e62b0585d695f5cf47b35baf6e104473c9ee4c

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.555819Z digest=sha256:93a5ace6967e621d01f920159e24cbf99320133cfabc35a7966cbdcd53ae161a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.561149Z digest=sha256:6e804661b16a20ea82cc8348031e0388e811dc1a5729e7e8c124bf67deea982d

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:d4578640a48ba8fed6c491aff8920dd23504f66f0e7074a4fd68c666486de462

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:f2f68d86d9af79641b0383a6cd554e4593266f7c56b1ff52a9a841689eaff506

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=sha256:1faaea42d63b52694f975b73f629c0c4437a1b63ba428535f97d3ec7b2df6a12

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.582726Z digest=sha256:b11b57995fdec2fb0e925c62c6ca539e891c1463c8583ef3b6eff028db308546

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.588171Z digest=sha256:9c689dff54c95e2af26aa76f5e2673fb3b14c82b83d615bc506d26605d8f634f

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.594757Z digest=sha256:865024f5a06ca35ffc6d8fb9062de60454cc960f8a0818b8296b4508d1937160

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.600183Z digest=sha256:601232b4c04cbc937c86c5b96f1b474840497819da6c068b4182698cdf18e904

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.605774Z digest=sha256:f8838b37cadb08a080532d205e62ce3ce74a41573c9f708935c9dca58af816f7

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:dbf0f6495de97b6c23c903df9c423ad0806ec7fc7117ab74540d71851b955945

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.617730Z digest=sha256:3bc79d378a5a816fee6ade3ad326172b5398870bbfcb79feeef9add11d7c8bad

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.622619Z digest=sha256:d497360c3c08158b73b61348382166baf8110e7933d4c1bbffe6eac7574a7fe3

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.627399Z digest=sha256:271af9f64cac7dfba8bd10d24cccb12a5babf8c5aace08428ce27e27f9bd2048

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.632213Z digest=sha256:b89bf1d3322a6af8dc9f54548e1239be2d505daaa53ac29c2acebf81a6eb6588

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.636928Z digest=sha256:f802250311c687b86c5ecac57ed548713fa991f381885d12f96b96700fdf68aa

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.642555Z digest=sha256:a6a6e17fef8ae2fe0f86bf0e36377047447fc51f75c94d01742a804b5765ac67

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.647593Z digest=sha256:b52a1f09d8b9d78dd1e99b041905810056f611dc35191c013e26d3f8927ba880

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-11T17:49:44.652464Z digest=sha256:cb2f8ae38e44bae19caf35dcfe183c1a80da137da435184843033c1fde9f5ba2

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=sha256:8b9e89f225f55400a6542937d45403eb58476f6cfb1f63e38160bb8d4ea7c1a7

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:caef52eb3679870aa8c75c1e42cebc842f1dc8f872fda5e7ab7bc208af8d500a

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:33:00.575754Z digest=sha256:7ba09300b069b4d55a982b3cb73e215bfaa3e6295beedf29e281621e2b0d09a0