Paper Citation Record · LEDGER

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 1 inbound Pith citation observation for arXiv:2505.16491.

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

pith.paper-citation-record.v1
2505.16491 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:02.810106Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T06:19:16.590915Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T06:21:26.947708Z

Reference resolution

20 of 20 outbound references displayed

verified exact1
verified fuzzy8
unresolved10
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eff3f527-8a41-4255-abbe-da5e53508490 · outbound

This paper cites 2.Calculate Dataset Statistics: (a) Compute the label distribution to main- tain the proportion of samples for each label in the original dataset.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing 2.Calculate Dataset Statistics: (a) Compute the label distribution to main- tain the proportion of samples for each label in the original dataset

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:04.714481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 966b5bad-3662-45bb-94a7-e3cd307a9c63 · outbound

This paper cites Association for Computational Linguistics.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Association for Computational Linguistics

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:05.387049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6700bb0a-622d-4a20-b845-eb1e9ebe3aa0 · outbound

This paper cites (b) Random sample to select the required number of samples for each label.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing (b) Random sample to select the required number of samples for each label

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:04.530136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b4a2a6ce-7573-43ec-86a0-96c0444f8d7e · outbound

This paper cites If the av- erage sentence length exceeded the specified constraint, an error was raised, indicating the need for further adjustments.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing If the av- erage sentence length exceeded the specified constraint, an error was raised, indicating the need for further adjustments

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:04.369915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d6bb94c-4867-4526-9cf6-1ca37f2daa2a · outbound

This paper cites an unresolved cited work.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:03:04.227305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4323cfb4-4106-4bc1-bc41-298425082401 · outbound

This paper cites an unresolved cited work.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T15:03:04.107385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f0a12ca-4c05-4ca0-a4a5-f8cebfa12fe3 · outbound

This paper cites User:"Classify the sentiment of the following text: ‘{text}’.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing User:"Classify the sentiment of the following text: ‘{text}’

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:03.975844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3ade6d2a-36b9-41ed-a7ad-498427887f89 · outbound

This paper cites an unresolved cited work.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Unresolved cited work

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 69c5a234-c29e-4873-94ae-18033396a78a · outbound

This paper cites Published as a conference paper at ACL 2025 Main F Layer-wise pooling methods confidence accuracy on SST-2, IMDB, Rotten Tomatoes, and Emotion datasets.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Published as a conference paper at ACL 2025 Main F Layer-wise pooling methods confidence accuracy on SST-2, IMDB, Rotten Tomatoes, and Emotion datasets

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation eef034fb-441e-4695-afff-a554b4e23705 · outbound

This paper cites GPT-4 Technical Report.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing GPT-4 Technical Report

Reference 751

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:01.570296Z

Source-reported events for the cited work

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Observation bbd65b93-2e11-4070-a667-71e59bf58db6 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing LLaMA: Open and Efficient Foundation Language Models

Reference 1145

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Source-reported events for the cited work

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Observation 4cf1345c-e3f4-4612-b02d-f6809ada2e67 · outbound

This paper cites The Llama 3 Herd of Models.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing The Llama 3 Herd of Models

Reference 1373

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Source-reported events for the cited work

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Observation a988456a-bc3c-4453-ab99-a5d266d9f8fe · outbound

This paper cites Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 1751

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Source-reported events for the cited work

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Observation f8cb90cd-0014-4b48-9041-bf1978ea3044 · outbound

This paper cites Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations

Reference 1804

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1759c1c3-4498-4802-944f-7a5df5aa80cf · outbound

This paper cites InACL, pages 174–181.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing InACL, pages 174–181

Reference 1997

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:05.171107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a962d68e-df74-4c93-960e-0ddb4d94c26e · outbound

This paper cites InEMNLP, pages 79– 86.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing InEMNLP, pages 79– 86

Reference 2002

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:04.861947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78387d85-9f73-4529-a226-8203ee6eacf3 · outbound

This paper cites InHLT-NAACL, pages 746–.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing InHLT-NAACL, pages 746–

Reference 2013

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:03:04.996646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6d09384c-684d-48ae-b2bd-27a850103967 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Representation Engineering: A Top-Down Approach to AI Transparency

Reference 2023

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db99f0f-dbf2-4ddd-aafa-95c9c23c1f03 · outbound

This paper cites FinBERT: Financial Sentiment Analysis with Pre-trained Language Models.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing FinBERT: Financial Sentiment Analysis with Pre-trained Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:00.744567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42e2eea9-042f-4a83-8dd6-ae7cf9d88ed4 · outbound

This paper cites Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:01.072575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation be84dcec-577f-43c4-b270-2d62ea1cc732 · inbound

Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering cites this paper.

Are Emotion and Rhetoric Neurons in LLM? Neuron Recognition and Adaptive Masking for Emotion-Rhetoric Prediction Steering LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:21:26.948836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.