Paper Citation Record · LEDGER

Random-Set Large Language Models

As of 18 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 2 inbound Pith citation observations for arXiv:2504.18085.

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

pith.paper-citation-record.v1
2504.18085 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:31:49.730633Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:13.677943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T05:17:18.159042Z

Reference resolution

84 of 84 outbound references displayed

verified exact0
verified fuzzy35
unresolved49
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 803e6cd7-ce34-4863-a1a5-686ba079667e · outbound

This paper cites write newline.

Random-Set Large Language Models write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.402205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17883381-7bac-41f8-af46-7267f958738d · outbound

This paper cites https://www.sbert.net/.

Random-Set Large Language Models https://www.sbert.net/

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.411617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08c3d1ce-91f4-470a-b88a-814559fb0128 · outbound

This paper cites GPT-4 Technical Report.

Random-Set Large Language Models GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.415832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 300896c3-d6f6-471f-8d9a-8ad670924ce4 · outbound

This paper cites R., Bl \"o mer, J., Kuntze, D., and Sohler, C.

Random-Set Large Language Models R., Bl \"o mer, J., Kuntze, D., and Sohler, C

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.420058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5474295a-f410-49aa-b152-e461bc6f0b46 · outbound

This paper cites PaLM 2 Technical Report.

Random-Set Large Language Models PaLM 2 Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.423754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e11b79f-69e8-4ac5-81b0-3ec5098f5ccd · outbound

This paper cites and Cuzzolin, F.

Random-Set Large Language Models and Cuzzolin, F

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.427728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12c29d0d-8b2c-4cc0-8068-6de08884ac28 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Random-Set Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.432193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0722cc8b-e0d4-476e-9034-77cdcee796c8 · outbound

This paper cites Uncertainty quantification in fine-tuned LLMs using LoRA ensembles.

Random-Set Large Language Models Uncertainty quantification in fine-tuned LLMs using LoRA ensembles

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.435715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c84ef91f-04a1-432b-8215-a76615f1af0e · outbound

This paper cites Benchmarking LLM powered Chatbots: Methods and Metrics.

Random-Set Large Language Models Benchmarking LLM powered Chatbots: Methods and Metrics

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.439924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2d6b323-0682-4f84-b87e-2e8f1ffd7563 · outbound

This paper cites Weight uncertainty in neural network.

Random-Set Large Language Models Weight uncertainty in neural network

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.443383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9796c20c-ae6d-4342-9ca2-2d7e3d14867f · outbound

This paper cites an unresolved cited work.

Random-Set Large Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:31:50.614478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ed3148b2-ded3-4e9f-b068-47ccb4ce3f26 · outbound

This paper cites and Klir, G.

Random-Set Large Language Models and Klir, G

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.601068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a93fe2c1-ce69-46fe-9173-04efe5b993a5 · outbound

This paper cites Credal Learning Theory.

Random-Set Large Language Models Credal Learning Theory

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.452729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56ab1f7-f6e6-4a6b-b9c5-3ec34c421ee3 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Random-Set Large Language Models INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.456549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 930498c7-6df2-412a-9b15-ac38a7b94ea0 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Random-Set Large Language Models Training Verifiers to Solve Math Word Problems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.460680Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3a05ef9-1e62-49cc-8710-a4af8b32f03b · outbound

This paper cites On the credal structure of consistent probabilities.

Random-Set Large Language Models On the credal structure of consistent probabilities

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.586865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8c0b1989-70a4-4dd5-8a45-69211c97bc51 · outbound

This paper cites Complexes of outer consonant approximations.

Random-Set Large Language Models Complexes of outer consonant approximations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.573761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 217a660f-fb7d-4bd7-b7cf-16404388fb07 · outbound

This paper cites Credal semantics of Bayesian transformations in terms of probability intervals.

Random-Set Large Language Models Credal semantics of Bayesian transformations in terms of probability intervals

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.560460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5014ac39-9818-4142-816e-323021deab03 · outbound

This paper cites Geometric conditioning of belief functions.

Random-Set Large Language Models Geometric conditioning of belief functions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.546892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 89c6c527-6e8c-44b0-a38d-60a29c822f52 · outbound

This paper cites The geometry of consonant belief functions: simplicial complexes of necessity measures.

Random-Set Large Language Models The geometry of consonant belief functions: simplicial complexes of necessity measures

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.535441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7ace9947-ba5b-47a9-a91a-0700fc0add0a · outbound

This paper cites Three alternative combinatorial formulations of the theory of evidence.

Random-Set Large Language Models Three alternative combinatorial formulations of the theory of evidence

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.523067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 812fa2b8-9943-43f5-a6a2-0e6d71408d97 · outbound

This paper cites On consistent approximations of belief functions in the mass space.

Random-Set Large Language Models On consistent approximations of belief functions in the mass space

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.511918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ec85916d-bdb9-40c6-b029-c36fde08ed88 · outbound

This paper cites Geometric conditional belief functions in the belief space.

Random-Set Large Language Models Geometric conditional belief functions in the belief space

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.498128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 57113d52-1328-4b91-a344-cf0901743029 · outbound

This paper cites Lp consonant approximations of belief functions.

Random-Set Large Language Models Lp consonant approximations of belief functions

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.485599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c24a668f-6383-474f-960b-168e0c8aae97 · outbound

This paper cites Belief functions: theory and applications.

Random-Set Large Language Models Belief functions: theory and applications

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.472361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56663488-8027-4327-9014-af5de2794f90 · outbound

This paper cites Generalised max entropy classifiers.

Random-Set Large Language Models Generalised max entropy classifiers

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.459125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0541fb14-e14a-4103-be63-61dac9e41ee6 · outbound

This paper cites Visions of a generalized probability theory.

Random-Set Large Language Models Visions of a generalized probability theory

Reference 27

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Source-reported events for the cited work

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Observation fe1bcbd8-38c8-4f3b-81f1-a3dc2e46c7c3 · outbound

This paper cites The Geometry of Uncertainty: The Geometry of Imprecise Probabilities.

Random-Set Large Language Models The Geometry of Uncertainty: The Geometry of Imprecise Probabilities

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.444747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b17f97c4-2c96-4d55-9a1e-620220cd7545 · outbound

This paper cites Reasoning with random sets: An agenda for the future.

Random-Set Large Language Models Reasoning with random sets: An agenda for the future

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.504317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c8d848b-c9b0-413f-a6b1-03401456446e · outbound

This paper cites Uncertainty measures: A critical survey.

Random-Set Large Language Models Uncertainty measures: A critical survey

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.430196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a8941d93-abd8-4ff6-8c6e-931491cd46aa · outbound

This paper cites and Frezza, R.

Random-Set Large Language Models and Frezza, R

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.416700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4eb67b19-e945-422f-ae31-671154645dd8 · outbound

This paper cites and Frezza, R.

Random-Set Large Language Models and Frezza, R

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.402779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 73822193-ddc9-4dd6-9c90-d033668b2366 · outbound

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Random-Set Large Language Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:31:50.389750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b3964c3b-424c-4cb4-a80a-840f5c114e97 · outbound

This paper cites Distributed combination of belief functions.

Random-Set Large Language Models Distributed combination of belief functions

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.376802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d67ca968-3d3a-46b9-b512-1bbbdd982779 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

Random-Set Large Language Models Detecting hallucinations in large language models using semantic entropy

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c723f5bc-baa1-48e1-9990-8c41ca9c8a01 · outbound

This paper cites and Ghahramani, Z.

Random-Set Large Language Models and Ghahramani, Z

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.359756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 56bac10c-312c-498b-a44e-94ffa5bd7106 · outbound

This paper cites C., Khan, S., Cuzzolin, F., and Lukasiewicz, T.

Random-Set Large Language Models C., Khan, S., Cuzzolin, F., and Lukasiewicz, T

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.348523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f605332f-b9c7-41e9-aab2-867b772f5ff4 · outbound

This paper cites Uncertainty-Aware Machine Translation Evaluation.

Random-Set Large Language Models Uncertainty-Aware Machine Translation Evaluation

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6ebd79-8e83-4303-9197-0ba5f8023ec3 · outbound

This paper cites and Cuzzolin, F.

Random-Set Large Language Models and Cuzzolin, F

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.337211Z

Source-reported events for the cited work

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Observation bead3bee-4a43-4257-9800-efa79e8782a4 · outbound

This paper cites trlx: A framework for large scale reinforcement learning from human feedback.

Random-Set Large Language Models trlx: A framework for large scale reinforcement learning from human feedback

Reference 40

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Source-reported events for the cited work

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Observation 461ae896-22b2-4108-b123-6e3916c8f941 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Random-Set Large Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 41

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Observation 0755c706-1a01-47a1-9ad7-9d78adf0a760 · outbound

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Random-Set Large Language Models and Waegeman, W

Reference 42

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Observation a84c267d-0b10-45a1-988e-90fce96b609a · outbound

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Random-Set Large Language Models Unresolved cited work

Reference 43

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Observation 690cf610-2bdf-4ccf-bb9b-4913b5cd6572 · outbound

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Random-Set Large Language Models Mistral 7B

Reference 44

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Observation ef9c34e6-07bb-4826-ac4d-81ad16b506ef · outbound

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Random-Set Large Language Models Language Models (Mostly) Know What They Know

Reference 45

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Observation ad8b7678-82e4-441e-b82b-27a8ec7d533f · outbound

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Random-Set Large Language Models and Gal, Y

Reference 46

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Observation fd6b4b7d-d209-4c3a-a4a0-5ef235696b34 · outbound

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Random-Set Large Language Models Unresolved cited work

Reference 47

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Observation 31b71195-9748-40a9-af00-d8529e4c82d0 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Random-Set Large Language Models Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 48

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This paper cites The enterprise of knowledge: An essay on knowledge, credal probability, and chance.

Random-Set Large Language Models The enterprise of knowledge: An essay on knowledge, credal probability, and chance

Reference 49

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Observation 76b4830f-4006-4ecf-a4c2-dc21d3296f1a · outbound

This paper cites Solving quantitative reasoning problems with language models.

Random-Set Large Language Models Solving quantitative reasoning problems with language models

Reference 50

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Source-reported events for the cited work

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Observation 25d06172-a773-4762-831b-ab70f5952dfb · outbound

This paper cites Teaching Models to Express Their Uncertainty in Words.

Random-Set Large Language Models Teaching Models to Express Their Uncertainty in Words

Reference 51

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Source-reported events for the cited work

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Observation 2d3fe1bc-5196-4414-9265-f98b43def211 · outbound

This paper cites Random-Set Neural Networks (RS-NN).

Random-Set Large Language Models Random-Set Neural Networks (RS-NN)

Reference 52

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Source-reported events for the cited work

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Random-Set Large Language Models K., Mubashar, M., Wang, K., Shariatmadar, K., and Cuzzolin, F

Reference 53

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Observation ae8787fa-95a8-4db4-b15d-76ea1e71d313 · outbound

This paper cites Random sets and integral geometry.

Random-Set Large Language Models Random sets and integral geometry

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.243535Z

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Observation 7348c3a1-b98b-4f18-b471-ab855cfcecdd · outbound

This paper cites On Faithfulness and Factuality in Abstractive Summarization.

Random-Set Large Language Models On Faithfulness and Factuality in Abstractive Summarization

Reference 55

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Source-reported events for the cited work

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Observation 323c904a-c8fa-40d6-afd8-5e22b819794e · outbound

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Random-Set Large Language Models Reducing conversational agents' overconfidence through linguistic calibration

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.611654Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afd106fc-7cc9-4303-b664-41391d0f8887 · outbound

This paper cites Can a suit of armor conduct electricity? a new dataset for open book question answering.

Random-Set Large Language Models Can a suit of armor conduct electricity? a new dataset for open book question answering

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.616168Z

Source-reported events for the cited work

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Observation 09d4f75d-b79e-43ff-bc01-b953b85ca6c4 · outbound

This paper cites Random sets and random functions.

Random-Set Large Language Models Random sets and random functions

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:31:50.225318Z

Source-reported events for the cited work

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Observation fb433943-313f-44d2-8e51-096f1a89181e · outbound

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Random-Set Large Language Models Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:31:50.212913Z

Source-reported events for the cited work

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Observation 187e0872-6710-4d99-9b08-3224d03aec85 · outbound

This paper cites Modern hierarchical, agglomerative clustering algorithms.

Random-Set Large Language Models Modern hierarchical, agglomerative clustering algorithms

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-16T10:31:49.630058Z

Source-reported events for the cited work

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This paper cites Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.

Random-Set Large Language Models Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Reference 61

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Reference 62

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This paper cites Fine-Tuning Language Models via Epistemic Neural Networks.

Random-Set Large Language Models Fine-Tuning Language Models via Epistemic Neural Networks

Reference 63

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Random-Set Large Language Models Probabilities of Chat LLMs Are Miscalibrated but Still Predict Correctness on Multiple-Choice Q&A

Reference 64

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Reference 65

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This paper cites Code Llama: Open Foundation Models for Code.

Random-Set Large Language Models Code Llama: Open Foundation Models for Code

Reference 66

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This paper cites Is the volume of a credal set a good measure for epistemic uncertainty? In Uncertainty in Artificial Intelligence, pp.\ 1795--1804.

Random-Set Large Language Models Is the volume of a credal set a good measure for epistemic uncertainty? In Uncertainty in Artificial Intelligence, pp.\ 1795--1804

Reference 67

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Observation cccd9254-3cb6-4889-b976-31667b58fa11 · outbound

This paper cites A mathematical theory of evidence, volume 42.

Random-Set Large Language Models A mathematical theory of evidence, volume 42

Reference 68

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Observation 42a9d1ee-f313-4f94-ab94-56919ee7dbee · outbound

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Random-Set Large Language Models A theory of statistical evidence

Reference 69

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Observation 77e6c16c-50ff-46a4-bdd1-4d7f1d82e78b · outbound

This paper cites Decision making in the tbm: the necessity of the pignistic transformation.

Random-Set Large Language Models Decision making in the tbm: the necessity of the pignistic transformation

Reference 70

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Observation 18f0ac3e-8d5d-4df8-bf4a-ddd9155902b9 · outbound

This paper cites Decision making in the TBM: the necessity of the pignistic transformation.

Random-Set Large Language Models Decision making in the TBM: the necessity of the pignistic transformation

Reference 71

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Observation 47e9f218-3ae9-4845-bcac-c3acafb3d4f7 · outbound

This paper cites and Kennes, R.

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Reference 72

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Observation aa039014-e081-496d-94e2-930f19ff79c6 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Random-Set Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 73

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This paper cites Credal deep ensembles for uncertainty quantification.

Random-Set Large Language Models Credal deep ensembles for uncertainty quantification

Reference 74

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Observation e02e2e49-3d22-405f-a191-e35215e6fd20 · outbound

This paper cites K., Cuzzolin, F., Moens, D., and Hallez, H.

Random-Set Large Language Models K., Cuzzolin, F., Moens, D., and Hallez, H

Reference 75

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Observation bbd0beb9-7ed1-47a4-a7d9-71763596a8f8 · outbound

This paper cites Uncertainty estimation and reduction of pre-trained models for text regression.

Random-Set Large Language Models Uncertainty estimation and reduction of pre-trained models for text regression

Reference 76

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Observation cf6c3e31-2c63-4524-b22b-a566ec5dd741 · outbound

This paper cites BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models.

Random-Set Large Language Models BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models

Reference 77

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Random-Set Large Language Models V., Zhou, D., et al

Reference 78

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Reference 79

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This paper cites A brief overview of chatgpt: The history, status quo and potential future development.

Random-Set Large Language Models A brief overview of chatgpt: The history, status quo and potential future development

Reference 80

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Observation c1f3087c-20cc-4a19-845f-d9bbd6ce3a79 · outbound

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Random-Set Large Language Models Unresolved cited work

Reference 81

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:31:50.062786Z

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Observation 80960e21-27a5-4022-bbc3-f6ae9dde5dc2 · outbound

This paper cites Bayesian Low-rank Adaptation for Large Language Models.

Random-Set Large Language Models Bayesian Low-rank Adaptation for Large Language Models

Reference 82

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Observation 93246ddc-c573-4cd5-b04c-ea5493b6a199 · outbound

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Random-Set Large Language Models H., Kolehmainen, J., Shivakumar, P

Reference 83

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Observation f000f887-1833-4d38-9dcf-bccc674a3e7a · outbound

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Random-Set Large Language Models and Fagiuoli, E

Reference 84

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Pith citing papers

Observation f92c8779-ca40-4534-9df7-7166a838f5d0 · inbound

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' cites this paper.

Epistemic Artificial Intelligence is Essential for Machine Learning Models to Truly 'Know When They Do Not Know' Random-Set Large Language Models

Reference 162

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Observation a1b1469e-2989-4229-b31d-7dbdbe0046a5 · inbound

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Random-Set Graph Neural Networks Random-Set Large Language Models

Reference 17

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