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Paper Citation Record · LEDGER

GoEmotions: A Dataset of Fine-Grained Emotions

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2005.00547.

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

pith.paper-citation-record.v1
2005.00547 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 23 of 23 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:41:51.083989Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 722d47f9-6f1e-4f19-a1b7-9adf55f36fb2 · inbound

Synthetic Audio Helps for Cognitive State Tasks cites this paper.

Synthetic Audio Helps for Cognitive State Tasks GoEmotions: A Dataset of Fine-Grained Emotions

Reference 10

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no resolver link, observed 2026-08-08T14:41:51.083989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:41:51.083989Z digest=sha256:1ae29084dfddc1b2c3f9dae0be8695feb7adc952ebcb7380b11d6dcd0b56f473

Observation 6a0d6f06-b0df-4cc1-abc5-f73babb5d50c · inbound

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation cites this paper.

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation GoEmotions: A Dataset of Fine-Grained Emotions

Reference 20

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arxiv_id, observed 2026-05-22T17:05:00.376724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T17:04:00.508789Z digest=sha256:f9868982a1ce75e045d89d12bf2f25311f7e87c4a6f3e7224f360aec95e767a4

Observation 35e9eb2c-4337-4b34-9400-0b44211a2627 · inbound

The Super Emotion Dataset cites this paper.

The Super Emotion Dataset GoEmotions: A Dataset of Fine-Grained Emotions

Reference 1

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unresolved
no resolver link, observed 2026-08-07T15:21:32.279778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:21:32.279778Z digest=sha256:9488af445385ac724c0e0f05e229453703867b9c699a00d521a80dd34cae003a

Observation ba0e3324-869b-4cca-8bd2-939fa5b0cf13 · inbound

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning cites this paper.

MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning GoEmotions: A Dataset of Fine-Grained Emotions

Reference 2025

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unresolved
no resolver link, observed 2026-08-07T15:09:42.852146Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:09:42.852146Z digest=sha256:681e89f4bfafe0c0d2d18523cdfc842b29a2f7eca18fa69532e36bc5f4f30d85

Observation d4eb93cc-e80b-4bc4-b8cb-90455851fc98 · inbound

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models cites this paper.

SocialMaze: A Benchmark for Evaluating Social Reasoning in Large Language Models GoEmotions: A Dataset of Fine-Grained Emotions

Reference 35

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unresolved
no resolver link, observed 2026-08-07T12:45:14.387941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:14.387941Z digest=sha256:7e5b8d6c7b01f2851bd10854a4666fc3f8e38d5d1297b64ad3b65bbf494d7834

Observation f2ce6f27-64b6-415e-b1ef-c18ebcf43204 · inbound

Abstract Counterfactuals for Language Model Agents cites this paper.

Abstract Counterfactuals for Language Model Agents GoEmotions: A Dataset of Fine-Grained Emotions

Reference 9

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no resolver link, observed 2026-08-07T11:25:01.984585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:01.984585Z digest=sha256:947413f2155f044e663ee6aa197f01e017cfd8a6959e380f56231346ccdb4bf6

Observation d4f94772-cda4-4135-9d8d-2f81c1057e97 · inbound

Crowd-SFT: Crowdsourcing for LLM Alignment cites this paper.

Crowd-SFT: Crowdsourcing for LLM Alignment GoEmotions: A Dataset of Fine-Grained Emotions

Reference 9

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unresolved
no resolver link, observed 2026-08-07T10:54:09.049004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.049004Z digest=sha256:c3d79a36df68a7e3a268a987a971d54ef83514eb60fe0b37605c4363526b6861

Observation 3bcf2d31-2154-4cb4-98c0-99e592dd5a1a · inbound

Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIME cites this paper.

Analyzing Emotions in Bangla Social Media Comments Using Machine Learning and LIME GoEmotions: A Dataset of Fine-Grained Emotions

Reference 6

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no resolver link, observed 2026-08-07T04:38:00.256846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:38:00.256846Z digest=sha256:dd104170408b8eacaa2c5ea34a81907af566836f83069b4ae51efe718903752d

Observation cfd1066e-d359-45d9-94d7-e395dce3e7d6 · inbound

PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention cites this paper.

PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention GoEmotions: A Dataset of Fine-Grained Emotions

Reference 6

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metadata mismatch
arxiv_id, observed 2026-05-19T09:27:14.755433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T09:24:04.289799Z digest=sha256:98aa37c695c94455eb70340a5c2233e8d4ab748ce6e058aed7dd66f9ad32cede

Observation 04181dfa-1c90-48d7-be89-56d08dfba3ba · inbound

Investigating Algorithmic Bias in YouTube Shorts cites this paper.

Investigating Algorithmic Bias in YouTube Shorts GoEmotions: A Dataset of Fine-Grained Emotions

Reference 23

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unresolved
no resolver link, observed 2026-08-06T19:49:50.539841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:49:50.539841Z digest=sha256:b7396abe144ee3ab135252e027e7760c8fd7804e845fca7176f40be6cf0cb0cc

Observation ad029215-a9a1-4075-864e-e0ea22373327 · inbound

Moodifier: MLLM-Enhanced Emotion-Driven Image Editing cites this paper.

Moodifier: MLLM-Enhanced Emotion-Driven Image Editing GoEmotions: A Dataset of Fine-Grained Emotions

Reference 48

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unresolved
no resolver link, observed 2026-08-06T16:16:23.020247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:16:23.020247Z digest=sha256:1b625a7ee91ac5569f1a6c9f9969fef70f3ac17ea882d5bb9d109e15eee539e2

Observation 5c1e8bf0-1c86-4923-b53d-67cf078fb0c0 · inbound

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification cites this paper.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification GoEmotions: A Dataset of Fine-Grained Emotions

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:55:22.699072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:55:22.699072Z digest=sha256:b079b0ece3ce8cb94d8a2cc1e0359f889cbe5efc942f7fa8bfb20ad5943aba02

Observation 8ce0defb-fc2a-4dbc-bd85-feb08f5ebb60 · inbound

AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries cites this paper.

AI in Mental Health: Emotional and Sentiment Analysis of Large Language Models' Responses to Depression, Anxiety, and Stress Queries GoEmotions: A Dataset of Fine-Grained Emotions

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:06:12.210347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:06:12.210347Z digest=sha256:6175ad5213f997a59eacf561db30019116cc6f5750fe69be0e5d098d9d407074

Observation 136324f2-3ebe-4807-9f2d-833f6f0b79e5 · inbound

MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset cites this paper.

MVRS: The Multimodal Virtual Reality Stimuli-based Emotion Recognition Dataset GoEmotions: A Dataset of Fine-Grained Emotions

Reference 51

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unresolved
no resolver link, observed 2026-08-05T13:06:04.313237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:06:04.313237Z digest=sha256:2a16e69ebdef9c6a73288c84d23115e7562e39bde8554350f84e83c6979cccbc

Observation 0d4e58ec-a935-4ea1-80c1-6c747aa350d3 · inbound

T-FIX: Text-Based Explanations with Features Interpretable to eXperts cites this paper.

T-FIX: Text-Based Explanations with Features Interpretable to eXperts GoEmotions: A Dataset of Fine-Grained Emotions

Reference 2

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verified exact
arxiv_id, observed 2026-05-21T19:50:33.898607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T19:46:55.059973Z digest=sha256:0b05ec59036d982232832e0247dab7e2fe76fd74d2f22bf8dafb3a61014adf08

Observation 61afb2d4-bf7f-4fd5-8f93-9350630c4f55 · inbound

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving cites this paper.

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving GoEmotions: A Dataset of Fine-Grained Emotions

Reference 11

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unresolved
no resolver link, observed 2026-08-03T18:37:02.966502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:02.966502Z digest=sha256:6df1e5adb56bf9ee73e358f1de4667a456572023ffd95313d66ff3c778b18329

Observation 488ca922-cbbb-415a-88de-c8a4fec7a234 · inbound

Meta-Harness: End-to-End Optimization of Model Harnesses cites this paper.

Meta-Harness: End-to-End Optimization of Model Harnesses GoEmotions: A Dataset of Fine-Grained Emotions

Reference 16

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metadata mismatch
arxiv_id, observed 2026-05-13T16:15:58.006035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T16:15:57.877354Z digest=sha256:3c34819caec8ec6aa3436d1d7e7a14935b812c5413e82f3ffbf09ca1ea575c4f

Observation fa0d1a09-5aad-4d19-8212-cf88fcf365b9 · inbound

Semantic Data Processing with Holistic Data Understanding cites this paper.

Semantic Data Processing with Holistic Data Understanding GoEmotions: A Dataset of Fine-Grained Emotions

Reference 10

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metadata mismatch
arxiv_id, observed 2026-05-13T19:08:09.582503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T19:07:49.756349Z digest=sha256:074a47c87c2326efce641131a7c3451416a0afe26389e4e97a0a89702b51f6d0

Observation 12c4a778-c090-449a-ae75-ba8d92b46d36 · inbound

SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs cites this paper.

SUMMIR: A Hallucination-Aware Framework for Ranking Sports Insights from LLMs GoEmotions: A Dataset of Fine-Grained Emotions

Reference 13

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arxiv_id, observed 2026-05-14T02:13:37.499907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T02:09:14.816875Z digest=sha256:577342cd5f41cca68e1e4eb0d06228e4350a762aa5e17e03182567605c84e980

Observation bd5e5c3a-2655-40ca-a263-65e4acfa424c · inbound

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models cites this paper.

AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models GoEmotions: A Dataset of Fine-Grained Emotions

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-08T23:19:24.621502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T06:22:38.252677Z digest=sha256:0681067a9412bc4c7bb13eb03a40d7a822adc662b302701692bf9efd307c0eb3

Observation 49e1957e-6117-406c-be4b-e16115795452 · inbound

When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts cites this paper.

When Jokes Cross the Line: Analyzing Regular Humor and Dark Humor in YouTube Shorts GoEmotions: A Dataset of Fine-Grained Emotions

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T07:45:28.880964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T07:36:53.225202Z digest=sha256:c97c4d2427226365bd85f9c1a29712528cb7ff276f044928ff6e661a293e381b

Observation 75a370da-3e41-4511-bc4a-06a0382ecb2f · inbound

A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment cites this paper.

A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment GoEmotions: A Dataset of Fine-Grained Emotions

Reference 12

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metadata mismatch
arxiv_id, observed 2026-06-30T07:44:21.552286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T07:43:17.004227Z digest=sha256:decd0bbbf41d5a6623682698dfd0bab160476c89419a514c1555056c63ad975a

Observation 462c59d3-ae5b-4e5b-84e5-7f5bcc2f8214 · inbound

Video2Reaction: Mapping Video to Audience Reaction Distribution in the Wild cites this paper.

Video2Reaction: Mapping Video to Audience Reaction Distribution in the Wild GoEmotions: A Dataset of Fine-Grained Emotions

Reference 8

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local_arxiv, observed 2026-07-09T23:56:38.435966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-09T23:51:55.422232Z digest=sha256:6b87401fa12e9f4b8dd13bfb4df9d825d2894ed80d55ff83ae9d2d7a451e0f43