Paper Citation Record · LEDGER

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification

As of 20 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.18970.

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

pith.paper-citation-record.v1
2505.18970 v2

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:59.776884Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy4
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0ba5dbc4-8ffb-4e97-9dcc-8e37969031ec · outbound

This paper cites Advancing Interpretability in Text Classification through Prototype Learning.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Advancing Interpretability in Text Classification through Prototype Learning

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:26:00.195981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 37d8a4fb-e058-40f5-a6a7-3543012d51ac · outbound

This paper cites Distill-and-compare: Auditing black-box models using transparent model distillation.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Distill-and-compare: Auditing black-box models using transparent model distillation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:00.909053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4bbd563a-57a1-4a01-887f-87447161fcfb · outbound

This paper cites Transformer Interpretability Beyond Attention Visualization.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Transformer Interpretability Beyond Attention Visualization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:59.035682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0e2adda-f70e-4e90-a616-433f58bc8942 · outbound

This paper cites Decoupled Weight Decay Regularization.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Decoupled Weight Decay Regularization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:59.218876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe230bf9-7fe2-45b9-8e3c-30701e3f88ee · outbound

This paper cites Sofia Serrano and Noah A.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Sofia Serrano and Noah A

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:59.313078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 493680b2-0473-46c3-9eb8-ebc08f00c2f8 · outbound

This paper cites 12 George Chrysostomou and Nikolaos Aletras.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification 12 George Chrysostomou and Nikolaos Aletras

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:59.423695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c7e4e4-a7bb-413f-bdce-b0c7d9d5c760 · outbound

This paper cites David Alvarez-Melis and Tommi S.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification David Alvarez-Melis and Tommi S

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:59.525004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd9e91a9-ebbf-4013-b28e-294a054f7c5c · outbound

This paper cites Nils Reimers and Iryna Gurevych.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Nils Reimers and Iryna Gurevych

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:59.580886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64ca418a-9f8d-4ab2-b84d-3bd36125aa13 · outbound

This paper cites The Prospect of Detecting Volcanic Signatures on an ExoEarth Using Direct Imaging.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification The Prospect of Detecting Volcanic Signatures on an ExoEarth Using Direct Imaging

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:25:59.941338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation de4a957a-6af8-4ff4-9110-0d1adc7a42e9 · outbound

This paper cites Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Sentence-t5: Scalable sentence encoders from pre-trained text-to-text models

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:00.591063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4e1e52e3-61a7-45ad-bbb8-390011332d55 · outbound

This paper cites Person,” “Animal,.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Person,” “Animal,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:00.445917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8840c355-ee4b-4c85-9923-a8486773ca94 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:58.824793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 394c4432-7dca-4a6e-a3ea-baae2d603e04 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:59.112260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24c8cb1-c54f-41c7-9967-fcc4a35e5c16 · outbound

This paper cites Are self-explanations from Large Language Models faithful?.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Are self-explanations from Large Language Models faithful?

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:58.494261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e43cbe43-037c-42f2-8ae6-84a388858cf4 · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:58.641605Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d4fd754-d4a6-4e54-a11f-c0a587430d62 · outbound

This paper cites Text embeddings by weakly-supervised contrastive pre-training.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Text embeddings by weakly-supervised contrastive pre-training

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:26:00.775413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c3b5a41d-8b20-4d28-aacd-f08facc66744 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Learning to Explain: Prototype-Based Surrogate Models for LLM Classification Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:58.557935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.