Paper Citation Record · LEDGER

Do Large Language Models Advocate for Inferentialism?

As of 13 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2412.14501.

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

pith.paper-citation-record.v1
2412.14501 v2

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:14:34.738515Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T18:53:14.491630Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T18:57:31.406548Z

Reference resolution

14 of 14 outbound references displayed

verified exact2
verified fuzzy3
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5afe2e75-6661-4bac-adcb-1a4f63acf298 · outbound

This paper cites Information.

Do Large Language Models Advocate for Inferentialism? Information

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:14:34.993078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0ed68f65-f842-44b3-8568-da0ff2bdecf2 · outbound

This paper cites Language Models as Models of Language.

Do Large Language Models Advocate for Inferentialism? Language Models as Models of Language

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.731479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc78cf1f-ca9c-4876-8546-e5d1673dd1b1 · outbound

This paper cites Robert Brandom on Concepts.

Do Large Language Models Advocate for Inferentialism? Robert Brandom on Concepts

Reference 5

Resolution: metadata mismatch; raw_fallback, observed 2026-08-11T12:14:34.966565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 691f0a1b-7724-4e46-9949-65cddb5ff3c6 · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Do Large Language Models Advocate for Inferentialism? A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 9

Resolution: verified exact; doi, observed 2026-08-11T12:14:34.770272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9865c280-382f-4d57-b49b-fcad103a85a8 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Do Large Language Models Advocate for Inferentialism? Efficient Estimation of Word Representations in Vector Space

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.727974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90fd10ec-02c1-44e4-b031-aafe03644f77 · outbound

This paper cites The Semantic Conception of Truth: and the Foundations of Semantics.

Do Large Language Models Advocate for Inferentialism? The Semantic Conception of Truth: and the Foundations of Semantics

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:14:34.975253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 78ee2358-e14c-4cf3-b2c6-4f79a5f9e400 · outbound

This paper cites Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers.

Do Large Language Models Advocate for Inferentialism? Are LLMs Models of Distributional Semantics? A Case Study on Quantifiers

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.706195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8e777f8-91d6-40b0-bc22-246e6c7e9c91 · outbound

This paper cites Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions.

Do Large Language Models Advocate for Inferentialism? Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.738515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0afa44f8-99c1-4c95-a688-6ab94e6b0390 · outbound

This paper cites Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs.

Do Large Language Models Advocate for Inferentialism? Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.720548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12d4c69-48be-43e1-af90-b1d4082f0269 · outbound

This paper cites A Loosely Wittgensteinian Conception of the Linguistic Understanding of Large Language Models Like Bert, Gpt-3, and Chatgpt.

Do Large Language Models Advocate for Inferentialism? A Loosely Wittgensteinian Conception of the Linguistic Understanding of Large Language Models Like Bert, Gpt-3, and Chatgpt

Reference 71

Resolution: verified exact; doi, observed 2026-08-11T12:14:34.781080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6d3676f7-cb62-43cb-add9-32da49fcafbb · outbound

This paper cites Distributional Structure.

Do Large Language Models Advocate for Inferentialism? Distributional Structure

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.714415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b490e7e0-2763-418c-a8ac-3dbd8a2c9d64 · outbound

This paper cites Reply to Jerry Fodor and Ernest Lepore’s.

Do Large Language Models Advocate for Inferentialism? Reply to Jerry Fodor and Ernest Lepore’s

Reference 676

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T12:14:34.984670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f48af0ed-c7f3-4af7-ae84-f6e396f7a7eb · outbound

This paper cites Small Language Models: Survey, Measurements, and Insights.

Do Large Language Models Advocate for Inferentialism? Small Language Models: Survey, Measurements, and Insights

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.724721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074f1b80-9977-423f-82ba-f259f1d4e270 · outbound

This paper cites Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI.

Do Large Language Models Advocate for Inferentialism? Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T12:14:34.695608Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c73a819f-f8f2-44fd-ad53-42328cabcf9f · inbound

Adversarial Social Epistemology for Assemblies of Humans and Large Language Models cites this paper.

Adversarial Social Epistemology for Assemblies of Humans and Large Language Models Do Large Language Models Advocate for Inferentialism?

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-10T18:57:31.408555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.