Paper Citation Record · LEDGER

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.12452.

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

pith.paper-citation-record.v1
2506.12452 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:55:30.571055Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

38 of 38 outbound references displayed

verified exact9
verified fuzzy22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dcd95ddc-b358-41c9-9817-43a48a91ee44 · outbound

This paper cites Toward expert-level medical question answering with large language models,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Toward expert-level medical question answering with large language models,

Reference 1

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Observation f1d5261a-7201-487a-ae53-8cbc91120e0b · outbound

This paper cites Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction for industrial domain,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Knowledge enhanced graph inference network based entity-relation extraction and knowledge graph construction for industrial domain,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.123051Z

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Observation d4717611-c5ba-4122-9531-3d7c204fb0df · outbound

This paper cites Gap: A novel generative context-aware prompt-tuning method for relation extraction,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Gap: A novel generative context-aware prompt-tuning method for relation extraction,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.111461Z

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Observation 26f8fd3a-4587-4bc0-b056-40a453930be7 · outbound

This paper cites Causalbench: A comprehensive benchmark for evaluating causal reasoning capabilities of large language models,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Causalbench: A comprehensive benchmark for evaluating causal reasoning capabilities of large language models,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.099273Z

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Observation 36a564f8-249b-432c-a7fc-7fab3e278752 · outbound

This paper cites Matching the Blanks: Distributional Similarity for Relation Learning.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Matching the Blanks: Distributional Similarity for Relation Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.880448Z

Source-reported events for the cited work

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Observation 0dc86689-8cc2-4535-8906-bff2870cc904 · outbound

This paper cites Kpi-edgar: A novel dataset and accompanying metric for relation extraction from financial documents,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Kpi-edgar: A novel dataset and accompanying metric for relation extraction from financial documents,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.086729Z

Source-reported events for the cited work

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Observation 40571839-f8a5-4e53-b682-e6bffccb7f53 · outbound

This paper cites FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making

Reference 7

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Observation 67923ec2-37f7-4956-ad28-f598acd4f124 · outbound

This paper cites Refind: Relation extraction financial dataset,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Refind: Relation extraction financial dataset,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.074805Z

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Observation ab1d7459-5792-49c6-a409-af125c0caf3d · outbound

This paper cites Is positive sentiment in corporate annual reports informative? evidence from deep learning,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Is positive sentiment in corporate annual reports informative? evidence from deep learning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.064209Z

Source-reported events for the cited work

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Observation d3e004b2-2a22-4aea-9216-cbdf52707cc0 · outbound

This paper cites iMETRE: Incorporating Markers of Entity Types for Relation Extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction iMETRE: Incorporating Markers of Entity Types for Relation Extraction

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.856161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6bad8e4c-71ef-4801-b23d-adc9dc871ea8 · outbound

This paper cites Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Ahead of the Text: Leveraging Entity Preposition for Financial Relation Extraction

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.843925Z

Source-reported events for the cited work

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Observation f3370306-85a6-4ea8-a028-e2f9ac7fe1c1 · outbound

This paper cites Classifying rela- tions via long short term memory networks along shortest dependency paths,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Classifying rela- tions via long short term memory networks along shortest dependency paths,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.052920Z

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Observation 5bb7d8cb-a53f-4fb3-8331-233e05cf3f85 · outbound

This paper cites Lexicalized dependency paths based super- vised learning for relation extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Lexicalized dependency paths based super- vised learning for relation extraction

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.036491Z

Source-reported events for the cited work

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Observation bdbb22b6-1fea-4309-b601-19a3341306dd · outbound

This paper cites Sentfin 1.0: Entity-aware sentiment analysis for financial news,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Sentfin 1.0: Entity-aware sentiment analysis for financial news,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.026009Z

Source-reported events for the cited work

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Observation 50e82578-80c4-44bd-8403-7dd469bd211e · outbound

This paper cites Multi-task learning for features extraction in financial annual reports,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Multi-task learning for features extraction in financial annual reports,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.015968Z

Source-reported events for the cited work

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Observation 71204699-338b-44b5-9ca4-8fe60d847a06 · outbound

This paper cites Sentiment-aware multimodal pre-training for multimodal sentiment analysis,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Sentiment-aware multimodal pre-training for multimodal sentiment analysis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:31.005596Z

Source-reported events for the cited work

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Observation 6d06985d-9b6f-41d4-8bc7-6add66390146 · outbound

This paper cites Emge: Entities and mentions gradual enhancement with semantics and connection modelling for document-level relation extraction,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Emge: Entities and mentions gradual enhancement with semantics and connection modelling for document-level relation extraction,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.995513Z

Source-reported events for the cited work

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Observation fb9c27d0-f663-48aa-a129-508ce5f1a23c · outbound

This paper cites Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-Speech.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-Speech

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.829765Z

Source-reported events for the cited work

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Observation 4da8e239-a402-4bed-8c98-125f6a64eff1 · outbound

This paper cites Relation extraction of medical concepts using categorization and sen- timent analysis,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Relation extraction of medical concepts using categorization and sen- timent analysis,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.985114Z

Source-reported events for the cited work

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Observation 1a38609e-dc10-4a14-853c-1ddeed430cdd · outbound

This paper cites Sentiment classification with modified roberta and recurrent neural networks,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Sentiment classification with modified roberta and recurrent neural networks,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.975517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67e31977-ef65-4b3c-88f0-49e0b592f2cc · outbound

This paper cites Enhancing relation extraction using multi-task learning with sdp evidence,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Enhancing relation extraction using multi-task learning with sdp evidence,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.965206Z

Source-reported events for the cited work

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Observation ea761fd4-5079-4583-b7a8-5357b360d667 · outbound

This paper cites A simple approach to financial relation classification with pre-trained language models,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction A simple approach to financial relation classification with pre-trained language models,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.954460Z

Source-reported events for the cited work

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Observation 6ae8dd28-5372-4cfc-b234-be6243a242a3 · outbound

This paper cites Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Nearest Neighbor Search over Vectorized Lexico-Syntactic Patterns for Relation Extraction from Financial Documents

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.815533Z

Source-reported events for the cited work

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Observation e2e371e3-c8e7-4359-9f21-1bf8bfa129f9 · outbound

This paper cites Paddlepaddle: An open-source deep learning platform from industrial practice,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Paddlepaddle: An open-source deep learning platform from industrial practice,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.944143Z

Source-reported events for the cited work

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Observation bc750b99-65e4-4c51-8f44-1165a841f358 · outbound

This paper cites TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction TACRED Revisited: A Thorough Evaluation of the TACRED Relation Extraction Task

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.801152Z

Source-reported events for the cited work

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Observation 9bb75d46-6cf7-4c7e-969e-a005366747c3 · outbound

This paper cites Finbert: A pre-trained financial language representation model for financial text mining,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Finbert: A pre-trained financial language representation model for financial text mining,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.933652Z

Source-reported events for the cited work

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Observation 2b184f76-d103-4d10-8410-c8da8784272f · outbound

This paper cites Spanbert: Improving pre-training by representing and predicting spans,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Spanbert: Improving pre-training by representing and predicting spans,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.922540Z

Source-reported events for the cited work

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Observation de21becd-33ac-4eee-93d8-0e1270bcf39e · outbound

This paper cites DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 28

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 29

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Source-reported events for the cited work

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Observation cdd783b0-da1c-426b-9194-9107c6414f0c · outbound

This paper cites Attention- based bidirectional long short-term memory networks for relation clas- sification,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Attention- based bidirectional long short-term memory networks for relation clas- sification,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.911774Z

Source-reported events for the cited work

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Observation c75454b2-7317-4f00-8e6a-eb78a3225dc8 · outbound

This paper cites An Improved Baseline for Sentence-level Relation Extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction An Improved Baseline for Sentence-level Relation Extraction

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.767905Z

Source-reported events for the cited work

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Observation b0cbfc28-e7e2-4334-965d-083b9eda3ca6 · outbound

This paper cites Enriching pre-trained language model with entity information for relation classification,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Enriching pre-trained language model with entity information for relation classification,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.901110Z

Source-reported events for the cited work

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Observation eb8ef3bc-c6f1-40ce-aed3-55362f3a0e7a · outbound

This paper cites A Causal View of Entity Bias in (Large) Language Models.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction A Causal View of Entity Bias in (Large) Language Models

Reference 33

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Source-reported events for the cited work

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Observation 1244cd76-3c9d-4bfd-a6c7-7fc4455332ff · outbound

This paper cites Position- aware attention and supervised data improve slot filling,.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Position- aware attention and supervised data improve slot filling,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:55:30.890615Z

Source-reported events for the cited work

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Observation a4ed8145-eb8b-4791-ae75-655a72fb6cb3 · outbound

This paper cites Graph Convolution over Pruned Dependency Trees Improves Relation Extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Graph Convolution over Pruned Dependency Trees Improves Relation Extraction

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.742439Z

Source-reported events for the cited work

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Observation efcff6d3-7aaa-4313-802c-8ffbf7074bd7 · outbound

This paper cites Attention Guided Graph Convolutional Networks for Relation Extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction Attention Guided Graph Convolutional Networks for Relation Extraction

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:30.563418Z

Source-reported events for the cited work

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Observation a68c08cb-e20f-46ba-8ed4-fbd40d052932 · outbound

This paper cites A Frustratingly Easy Approach for Entity and Relation Extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction A Frustratingly Easy Approach for Entity and Relation Extraction

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:55:30.567165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f177506d-0854-43a3-8c19-d563a54221e6 · outbound

This paper cites On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction.

A Pluggable Multi-Task Learning Framework for Sentiment-Aware Financial Relation Extraction On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T00:55:30.704186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.