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Paper Citation Record · LEDGER

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning

As of 13 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2412.03343.

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

pith.paper-citation-record.v1
2412.03343 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:34:22.726530Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:19:08.131851Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T16:19:09.883490Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 21d99b7d-7343-414d-b25f-b760d269f3fa · outbound

This paper cites PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:34:22.976744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.600589Z digest=sha256:2e2d6e9034a3d16b077c3d38c95c0baac618aa14aca9f1cbadf025c0833d227f

Observation a5809bd2-7d5c-4501-81c8-2c2f65dfb2ab · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-08-11T22:34:22.604391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.604391Z digest=sha256:7dbc96db8933d7b9f73affccea18878d6096f832666d1228c0942765e6acd5c9

Observation e852d19f-d76a-4972-968d-0f95d5fa1024 · outbound

This paper cites Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions

Reference 3

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unresolved
no resolver link, observed 2026-08-11T22:34:22.608150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.608150Z digest=sha256:845b9ed1d4a9182c459d772ce42bce9439352fcb19802c91f61142ff1d8baa01

Observation 3cca9553-65b4-4ca3-876f-97e4fa59f875 · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.611519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.611519Z digest=sha256:33a0122bdbb2132abc5aef28f1d689800d6aa81d7210a0d891d112c4487265ad

Observation 8ed6b7ce-1fe9-47c0-bb43-18f457d781b3 · outbound

This paper cites Wizard of Wikipedia: Knowledge-Powered Conversational agents.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Wizard of Wikipedia: Knowledge-Powered Conversational agents

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.614565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.614565Z digest=sha256:808fe0c8c770ffa93e93bf28cd26f892c8a83f2f8a341a4de2a86c8e043b3050

Observation 084c0722-2fb8-401d-b4ca-8f1f7e6aeefd · outbound

This paper cites Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.618042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.618042Z digest=sha256:7f475fee97a1aa600a6ca4eb38eaf402cce006406292eed3ab691a1484043fdd

Observation c0387260-0ec7-41a6-8e44-88f1afbaa954 · outbound

This paper cites Towards Measuring the Representation of Subjective Global Opinions in Language Models.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Towards Measuring the Representation of Subjective Global Opinions in Language Models

Reference 7

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no resolver link, observed 2026-08-11T22:34:22.621540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.621540Z digest=sha256:863d78345604f88362be7938f66cda600aa81375bd31ae8dc3166de7241da2a5

Observation c8518463-7bec-46a2-bfcc-debe2c61bf17 · outbound

This paper cites Hierarchical Neural Story Generation.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Hierarchical Neural Story Generation

Reference 8

Resolution
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no resolver link, observed 2026-08-11T22:34:22.624789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.624789Z digest=sha256:5fe4681460e48ebcaf3e407d6744a10d2b5539f117f9479a4895ef829dd38000

Observation be77ffde-d3c5-4915-968b-368b2febfbc3 · outbound

This paper cites Bias and Fairness in Large Language Models: A Survey.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Bias and Fairness in Large Language Models: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.627897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.627897Z digest=sha256:245af41c82386f107be0142ea2f1a97a3d6c8089aee7a1797034ccb2a8e11fd9

Observation 5f09c962-8bcc-407a-8ebf-da88a964de2e · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:34:23.048946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.631091Z digest=sha256:be55a6570729c2bc7f2cea0cb586a8cce2e60f9a9162f3eef8000f6f60b4d649

Observation 3f5f3433-53b4-40f3-82bd-374f76e6a4e3 · outbound

This paper cites Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Topical-Chat: Towards Knowledge-Grounded Open-Domain Conversations

Reference 11

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no resolver link, observed 2026-08-11T22:34:22.634252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.634252Z digest=sha256:e74987b245899a426fd221be1da4d5913c8ca6f642d0e5a7ee1c88e5948b803d

Observation d58796b1-76d8-4aed-832b-16901aea5c78 · outbound

This paper cites How Far Can We Extract Diverse Perspectives from Large Language Models?.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning How Far Can We Extract Diverse Perspectives from Large Language Models?

Reference 12

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unresolved
no resolver link, observed 2026-08-11T22:34:22.637467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.637467Z digest=sha256:48ed04c31d208ca08672012d52151e1b49e8554033447982da80f914ded72f46

Observation b5f25927-f888-4fdc-b431-da216536dec4 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning The Curious Case of Neural Text Degeneration

Reference 13

Resolution
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no resolver link, observed 2026-08-11T22:34:22.641190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.641190Z digest=sha256:2663a4de6a21626675c31f51ab2b9e607b72749580933c81f76cb458359e207c

Observation 80ef7f0b-a81d-4b11-94cf-a16ef90e5eba · outbound

This paper cites Mistral 7B.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Mistral 7B

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.644319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.644319Z digest=sha256:b1e13f38218408a9eafdc1771b8ba32862c687cbf966509bd034bce0d4bf5894

Observation d39d3099-6448-4b74-9df5-e6f21061fc90 · outbound

This paper cites Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Improving Diversity of Demographic Representation in Large Language Models via Collective-Critiques and Self-Voting

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.647697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.647697Z digest=sha256:52a1d3ef7846e6182fa006a07aabfc358a983274e8931795a08e8bb1fa229889

Observation f6bf8e75-bf15-4213-9cc3-dff61b66d41d · outbound

This paper cites An Empirical Bayes Framework for Open-Domain Dialogue Generation.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning An Empirical Bayes Framework for Open-Domain Dialogue Generation

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:34:22.878189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.650672Z digest=sha256:9d82372c1d643ab690ad9c2b6a0c49397e2fc697ecc9812dacea8ff76fa55165

Observation a4489ab0-07ac-4e84-9621-6485396c773e · outbound

This paper cites How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation

Reference 17

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no resolver link, observed 2026-08-11T22:34:22.653677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.653677Z digest=sha256:5ec7f7be1e85f23ce53e2faa3752c9546062caf24ba41c8e20e350a32d8262d4

Observation bb5b828e-eb20-4277-a82e-74af18c6cf9c · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.656668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.656668Z digest=sha256:97a07bd6ad7dc6cec27d02a70bb775c29a9cc1ac82386e798bab8378b28117f9

Observation 09340b38-feee-44a3-9544-66011ba8cd8c · outbound

This paper cites Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Causally Testing Gender Bias in LLMs: A Case Study on Occupational Bias

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.659844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.659844Z digest=sha256:179baa7999dff4eb18dca9f3ed91bf738e5f06162f1987df173ddccb3adfeec1

Observation 12c2767d-461b-4961-926a-47184f13741b · outbound

This paper cites A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories

Reference 20

Resolution
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no resolver link, observed 2026-08-11T22:34:22.662982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.662982Z digest=sha256:b94fadac4ecfdfdf67068be9fc63d95b8e91ba426b4cf78bb36c9ad6f0cecbbc

Observation 6878eb1c-0308-4779-9214-a9a8b3cf5e45 · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:34:23.034599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.666661Z digest=sha256:ee6ac0ff0835110bf931ed321cd881151706c4334ac97ca2b9a353d5cc6ea210

Observation 58fe43ba-f3de-4330-b10f-3ddf7296c319 · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:34:23.025836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.669552Z digest=sha256:99e87f31375e29a5a7502907049e22ab39ae0ca95fa422361b68ce282596ed0d

Observation dd1788b1-11e2-49e3-a150-4e6905db4ff4 · outbound

This paper cites GPT-4 Technical Report.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning GPT-4 Technical Report

Reference 23

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no resolver link, observed 2026-08-11T22:34:22.672373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.672373Z digest=sha256:725276645ad42ef630bab4e0920cfb18cbd9a79fb810b0d199a4fd8172ef2278

Observation 6fe55501-400e-4019-9a85-93cf51147c63 · outbound

This paper cites Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Towards Empathetic Open-domain Conversation Models: a New Benchmark and Dataset

Reference 24

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no resolver link, observed 2026-08-11T22:34:22.675915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.675915Z digest=sha256:5433b4f29ca1492e9addcf4925a84bc53f0ef3009a0885acfabdb516d30b680c

Observation 75acf080-51c7-49d8-9239-d86a0d6da485 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 25

Resolution
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no resolver link, observed 2026-08-11T22:34:22.679046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.679046Z digest=sha256:8c979a6bd1edac32c1db49e1136d46c2bd593092556179d2f27168a5dbd280cc

Observation 8cc78361-3c2a-450b-b8ba-70aa9ab982e7 · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 26

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unresolved
no resolver link, observed 2026-08-11T22:34:22.682101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.682101Z digest=sha256:297424569e1e6af1e0f10ee12432b759ddab2a61c03afc5156500726d1c953c9

Observation 219a1d50-8195-4c23-b940-277036ca8c13 · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 27

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unresolved
no resolver link, observed 2026-08-11T22:34:22.685414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.685414Z digest=sha256:2c2b62183fc1be39772f7df37fd7c009b0237841f425cd4bab03ce43f78d5a05

Observation 44bff137-9439-461d-9d50-2c0a42f47d5b · outbound

This paper cites Long and Diverse Text Generation with Planning-based Hierarchical Variational Model.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Long and Diverse Text Generation with Planning-based Hierarchical Variational Model

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.688364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.688364Z digest=sha256:fcacd3e1bbdabb7e94a864885356af3b996c02c16d1916992797f702775b8341

Observation 3ff19832-0b99-4119-ad02-dfb34623d7ad · outbound

This paper cites Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-11T22:34:22.811115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.691697Z digest=sha256:714d07bd212358d089930e0eba2b292c9d16f73c76f5aeb139dbd5475c900225

Observation 08b86653-94a2-4b78-a849-13e958a79b79 · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:34:23.006355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.694949Z digest=sha256:17b0fe3556a195efefb02301c17beb255dc4ffede31fc9d812023344ffdfd694

Observation 1f2f306c-38f2-4a96-996d-41e2b8bd4a12 · outbound

This paper cites Contrastive Search Is What You Need For Neural Text Generation.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Contrastive Search Is What You Need For Neural Text Generation

Reference 31

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no resolver link, observed 2026-08-11T22:34:22.698266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.698266Z digest=sha256:afd4879cb0fde39e33b3d412147e30d26c18e62c544221ad28241ee98e7d318e

Observation 43c9733c-e281-41fd-a359-6b05d29bcc24 · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 32

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unresolved
no resolver link, observed 2026-08-11T22:34:22.701564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.701564Z digest=sha256:896b228aeb26f6e0db07fcbe8d2b1d80cc8790a06a962ae814a46a2a758984f9

Observation 66902a52-8cc7-4761-8da2-98741ca1ff5c · outbound

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

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning LLaMA: Open and Efficient Foundation Language Models

Reference 33

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unresolved
no resolver link, observed 2026-08-11T22:34:22.704563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.704563Z digest=sha256:de9c4bce51e4b85a2cfe4089b3e80ce502eebae9eba8f668aa90efacacb81ef3

Observation 48966ddd-1b11-40cc-ba5e-e0c907655878 · outbound

This paper cites Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Reference 34

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unresolved
no resolver link, observed 2026-08-11T22:34:22.707718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.707718Z digest=sha256:2f7f80f5f5786e568be32fc665f1b3871de609dd2d00dafaf0b680ad974c3756

Observation 20b84153-8f34-4ef7-a021-6a0b626abafc · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 35

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no resolver link, observed 2026-08-11T22:34:22.711050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.711050Z digest=sha256:71a0a9bd3ec2028ec91cc93a317f0dcdc39ba40e75d6f916e15bb40f8f5b4192

Observation 07e9fdc8-14a3-427e-8b59-0907adeadaa7 · outbound

This paper cites Neural Text Generation with Unlikelihood Training.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Neural Text Generation with Unlikelihood Training

Reference 36

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unresolved
no resolver link, observed 2026-08-11T22:34:22.714145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.714145Z digest=sha256:23996824ed3946f9c84ff9614fc4b0940d0c85ed53f9afa00d5589c9af53a716

Observation 5925c7e5-4d8c-4164-b491-37667352558e · outbound

This paper cites an unresolved cited work.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Unresolved cited work

Reference 37

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no resolver link, observed 2026-08-11T22:34:22.717192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.717192Z digest=sha256:8ca009e884a5f73cee7615b029d8d55e571d804662d3e357ad20c81993221e8b

Observation eb7e5178-cc53-473b-9958-7fa2b52594dd · outbound

This paper cites Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning Counterfactual Data Augmentation for Mitigating Gender Stereotypes in Languages with Rich Morphology

Reference 38

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unresolved
no resolver link, observed 2026-08-11T22:34:22.720247Z

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source=arxiv_source observed=2026-08-11T22:34:22.720247Z digest=sha256:1382981c5d5ff0c5d857aae6b3265c01801b76e7c589e55a86f2bd87af37bfdd

Observation fea9c93f-65aa-4c86-a89f-73f74926c6a8 · outbound

This paper cites online" 'onlinestring :=.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning online" 'onlinestring :=

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.723268Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T22:34:22.723268Z digest=sha256:06f6c4849aefd637286d77bf20dfbdf1f9fb8ce53170539d557c8c54cb951cb8

Observation e4d8bcb3-9d16-45d6-b422-de62c771f9f5 · outbound

This paper cites write newline.

Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning write newline

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T22:34:22.726530Z

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source=arxiv_source observed=2026-08-11T22:34:22.726530Z digest=sha256:742c37eaec1ead3d01ad2b15be08aec8f5c44a43c51ea3bec92ba4a4a8d65f70

Pith citing papers

Observation 4f7e80b4-4a07-477d-aa8e-b3e9dd47e477 · inbound

Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models cites this paper.

Beyond Quality: Unlocking Diversity in Ad Headline Generation with Large Language Models Improving Linguistic Diversity of Large Language Models with Possibility Exploration Fine-Tuning

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T16:19:09.956193Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-05T16:19:08.131851Z digest=sha256:6b203c4b6fb361791895fc45e6ffcb4ffb7dd763cf52208d117165d7f9e18707