Pith. sign in

Paper Citation Record · LEDGER

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

As of 16 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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.600589Z digest=sha256:1315958eda2e4ffa1d3a0f16528f93084bd3b34fc67d71e69df9aaaf78d78431

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

Resolution
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:c4db167bc6d1b1706dbfbbf76b69f5f487f928e74c71a5353505b3ac648b88ed

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

Resolution
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=sha256:510d8764e16c2c451e6f5dd158ffb6146de5f81d91e96256c604b88df4946900

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=sha256:10e48aba0a4d0dbaff4aa58f7899301941a1329a0d2caba1756f1f848beca9d8

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=sha256:651613b8b8d986f879bd27bfb83be3cb531185cae3a9e7ed6adad2cb3047535e

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=sha256:6f2cfb1ee9bb3cf3d2859d428aa11c39f0342c883e6a41ab4014a5837e3b18ac

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

Resolution
unresolved
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=sha256:72c505610a1286a30516938025aec2b95edfbdcbe9d9ced0179632272f77954e

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
unresolved
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=sha256:967989fc3ace9d53a26bdf4ff149ac07e2a7f27232293204256819722d763964

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=sha256:89189633d255f93797a3b0a3100028e364a2e22ed0828860d551a2c61fa02b44

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.631091Z digest=sha256:00aa5684de75aeaf936c8056b620169005e138c2fd98b0ddb63b1501c2beea24

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

Resolution
unresolved
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:af309315f2f15a4de6b495e5358eed6c7bf9764b007a5bc921fad98059d6f192

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

Resolution
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=sha256:293298d0738f8890d8044633e91d6000bd1ba8e90f5bd1b47d15b88f5b910d4f

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
unresolved
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:a51a3d67c6aad533b87b94f224911af11f59d0c8a2edea19b934d113c8d4bc37

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=sha256:50544f7651bd890ad1e18b0887490780d1e6a907e2f42b03d2f26d5f8f299116

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=sha256:80c44892fe6c8085b5f1c53b42da2be6e26893e4d05f4d47a2b44d7852d45a39

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.650672Z digest=sha256:c797c5a4f69592238a52c8ad43f0f66bddd369263074625e3add055116de9f61

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

Resolution
unresolved
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:a0b71f3a5e28eab70ff91cc278a2eaa035f5c6a4b9ed354c815311fa81d6c751

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=sha256:0a3f44b359aea89ea9505af2ba4965bc5a35908e119fd9af21aea5ec3805d5a1

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=sha256:94cd21fc3be3e0dd7861ff03672e5027bf60bfb7a7f8942f92b0e409a85b3e35

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
unresolved
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=sha256:255e244c453d56bd80c1f6d24fa0057d47e86a7c0fd0b71e4f63223438b34412

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.666661Z digest=sha256:9fa78076828d334e65f60cf08e55101f3216abfc86c1b5e91eecb7a1b3182a03

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.669552Z digest=sha256:1469f319a98e378c4d149528482cf94904133d434e3c36b8de4a271c99478f34

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

Resolution
unresolved
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=sha256:5156b5c395844011a0ecee4623b875ff651325297ca9f398b488769db008dc96

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

Resolution
unresolved
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=sha256:3883a71c09b567c7a8f1417e6640624a342a2a79d9424071277be35260c73577

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
unresolved
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=sha256:6ef8b04bc2046a63805b05854f42aed228ae37a500484d4155d99581da0d716b

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

Resolution
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=sha256:6919ae596b7d46c506af319764a148c42c94fbc1508fd06146f67ced9ad29392

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

Resolution
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=sha256:2a987324fd3da013373f291cc4e7a39df74af05e14b6518c01f10c2af371c6f0

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:e1170321d857853cd02e54d501a7074d7491d87eabe0f97ba266092e32c39eb9

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.691697Z digest=sha256:d090dfc8879d609a7ff37d910c61434ea7ca1ce136ad35a3f38a39ad3ca02eb3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T22:34:22.694949Z digest=sha256:6d05d8d09d2b5caca4e95421c48d55076aa406d69b4153c3bc5de8b4cd809c14

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

Resolution
unresolved
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:ba1ff8f690f245af38ef290f2482e088f80e0d8b7ea4350a069a5a284c21e76c

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

Resolution
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:b5a64c61116a15d5ca006411a0a366843e7ef720f9397ef6daca7304393ca554

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

Resolution
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=sha256:0bfe380bad19b16e4972152233494798781a91e9518206f628c3153e0720e835

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

Resolution
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=sha256:1a8936bf43abbfacda0dbc9222ebc1c57ab07436a593bca8eae15d03b5c9b074

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

Resolution
unresolved
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:bd0573b8c5759a13813064cfc7bf7fcddab7ceea91ed98c24a8d9c282c5622af

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

Resolution
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:b7283193fa52f5949951ff1167070028798cc4a02f2b2558cc94533294adfaf0

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

Resolution
unresolved
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:dc3f5cf5c8c8180ab62ae02de243417f005d4e6b66c5c69b56006f177314f967

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.720247Z digest=sha256:c224a905e0efda850bf3da5a606cccce75a1fc6ea965049febc2ec417cd089ae

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.723268Z digest=sha256:f38a2ab5286d499a803adc627729c5f3a1a876f1328362625e0cfdbe85960957

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:34:22.726530Z digest=sha256:8c5d5698c0aaf183ae69a5840b084dea4fadef9cd28869ce81b61ac705c7a643

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

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-05T16:19:08.131851Z digest=sha256:b06c2e6203ad9dbf6c2ff078c4fad44417ca77535c22e5ece89b623b70b2e096