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Paper Citation Record · LEDGER

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts

As of 5 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2509.04982.

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

pith.paper-citation-record.v1
2509.04982 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:46:10.217012Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

23 of 23 outbound references displayed

  • verified exact6
  • verified fuzzy3
  • unresolved13
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8eacf09a-3668-459f-9a52-b7dc5f43a846 · outbound

This paper cites Alaparthi and M.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Alaparthi and M

Reference 1

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no resolver link, observed 2026-08-05T05:46:08.180931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b2d23a2-1177-460e-8a84-4b9a5e860203 · outbound

This paper cites an unresolved cited work.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-05T05:46:08.255505Z

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Observation eaa2650f-4d1a-4f27-ac37-d3cde0714a04 · outbound

This paper cites Bridging the gap in text-based emotion detection - se- meval 2025 task 11 - track a.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Bridging the gap in text-based emotion detection - se- meval 2025 task 11 - track a

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 31d7fc6b-97c6-4f6f-9c2a-e55d194ae773 · outbound

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

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c6c605e5-7ca5-4f0b-997f-264e0046da3d · outbound

This paper cites On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey

Reference 5

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verified exact
local_arxiv, observed 2026-08-05T05:46:11.003654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation c265b149-8436-4f1d-a70b-d0931e3f4e73 · outbound

This paper cites Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports

Reference 6

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verified exact
local_arxiv, observed 2026-08-05T05:46:10.923554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4a60f183-37dd-4939-a0b7-aeb3693cb8b9 · outbound

This paper cites Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b2e76720-974b-47e6-861d-079b52b94bc2 · outbound

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

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 8

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no resolver link, observed 2026-08-05T05:46:08.747125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d567ceea-748c-41c3-9a9b-7634f693ce4e · outbound

This paper cites an unresolved cited work.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unresolved cited work

Reference 9

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 661d5622-0aac-4816-9b02-25b3a71fb6da · outbound

This paper cites Mehrafarin, S.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Mehrafarin, S

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e5daadf1-658c-4ef8-a866-7fde0e68d812 · outbound

This paper cites an unresolved cited work.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unresolved cited work

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f81b1b1c-2929-4e85-a2d1-31d2e3356a71 · outbound

This paper cites an unresolved cited work.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unresolved cited work

Reference 12

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unresolved
raw_fallback, observed 2026-08-05T05:46:11.609775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6eee9f92-a15b-4184-bd1d-786b92837eb8 · outbound

This paper cites Rogulsky, N.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Rogulsky, N

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:46:11.397590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e04e3ae0-be4a-431c-9d0d-25328eebc643 · outbound

This paper cites BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts BERT and PALs: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 650c6b4b-4793-4eda-9bfa-6a10180ea15e · outbound

This paper cites How to Fine-Tune BERT for Text Classification?.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts How to Fine-Tune BERT for Text Classification?

Reference 15

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no resolver link, observed 2026-08-05T05:46:09.690338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 00a4a22c-cbce-49ce-9df6-3893b010b654 · outbound

This paper cites Data Augmentation Techniques for Process Extraction from Scientific Publications.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Data Augmentation Techniques for Process Extraction from Scientific Publications

Reference 16

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verified exact
local_arxiv, observed 2026-08-05T05:46:10.711231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 222d8101-c90c-4860-ac0c-b7d370ab0bc4 · outbound

This paper cites Susanti and M.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Susanti and M

Reference 17

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 1743b77a-2902-461f-863f-19725a681e94 · outbound

This paper cites an unresolved cited work.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unresolved cited work

Reference 18

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unresolved
raw_fallback, observed 2026-08-05T05:46:11.188535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 34c5ef6f-f63d-4b72-b46c-b67448cb4494 · outbound

This paper cites an unresolved cited work.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unresolved cited work

Reference 19

Resolution
verified exact
doi, observed 2026-08-05T05:46:10.331318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3435c1bf-1f35-4666-9565-5bdde962eaf3 · outbound

This paper cites Exceeding the Limits of Visual-Linguistic Multi-Task Learning.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Exceeding the Limits of Visual-Linguistic Multi-Task Learning

Reference 20

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verified exact
local_arxiv, observed 2026-08-05T05:46:10.571212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation d7b7c5b2-d7a4-4a85-8fa5-fc55c379e064 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation fbe97c03-276d-4c41-b523-89dc72bc42a4 · outbound

This paper cites Unsupervised Data Augmentation for Consistency Training.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unsupervised Data Augmentation for Consistency Training

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e5fc589-4442-4e70-9998-61c40ab0865c · outbound

This paper cites an unresolved cited work.

Optimizing Small Transformer-Based Language Models for Multi-Label Sentiment Analysis in Short Texts Unresolved cited work

Reference 2023

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unresolved
raw_fallback, observed 2026-08-05T05:46:12.100082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Pith citing papers

No inbound Pith citation observations are available.