Paper Citation Record · LEDGER

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2607.14111.

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

pith.paper-citation-record.v1
2607.14111 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T14:41:02.495796Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

13 of 13 outbound references displayed

verified exact0
verified fuzzy0
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6d64bd45-f16b-498f-b4b2-83caec73200d · outbound

This paper cites Looking Inward: Language Models Can Learn About Themselves by Introspection.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Looking Inward: Language Models Can Learn About Themselves by Introspection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:01.060123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b18f976d-cbfc-48db-a82c-2d973e88798e · outbound

This paper cites Uzay Macar, Li Yang, Atticus Wang, Peter Wallich, Emmanuel Ameisen, and Jack Lindsey.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Uzay Macar, Li Yang, Atticus Wang, Peter Wallich, Emmanuel Ameisen, and Jack Lindsey

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:01.984635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8acff31c-bc84-4564-85de-a4843888c3c2 · outbound

This paper cites Mechanisms of Introspective Awareness.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Mechanisms of Introspective Awareness

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:02.128579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6714a5b3-011e-4cda-8393-17b2a5290732 · outbound

This paper cites Meta AI Blog.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Meta AI Blog

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:02.204048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ad6c776-e846-413d-8777-d1cdc034f55f · outbound

This paper cites 14 Alexander Matt Turner, Lisa Thiergart, Gavin Leech, David Udell, Juan J.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect 14 Alexander Matt Turner, Lisa Thiergart, Gavin Leech, David Udell, Juan J

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:02.420907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de660273-d5e4-48bb-87e6-f07be1747891 · outbound

This paper cites Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:02.495796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b94b606-69ea-42b0-b16e-8d30f178bb56 · outbound

This paper cites an unresolved cited work.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Unresolved cited work

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:02.383510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2416c32-58bf-441d-a1d1-9b2cb09950a7 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Measuring Massive Multitask Language Understanding

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:01.375483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1c7096b6-d065-47c9-be64-76c84f30b3f4 · outbound

This paper cites Activation oracles: Training and evaluating LLMs as general-purpose activation explainers.arXiv preprint arXiv:2512.15674,.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Activation oracles: Training and evaluating LLMs as general-purpose activation explainers.arXiv preprint arXiv:2512.15674,

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:01.711299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7093ab82-e46b-455f-8108-ddaf0a7ccfc5 · outbound

This paper cites How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:02.279489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 233c0738-67ca-4a00-87b6-531f68fd16e4 · outbound

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

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Teaching Models to Express Their Uncertainty in Words

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:01.841763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06ed7db-62b2-42b5-a119-a149ebbfb89f · outbound

This paper cites Language Models (Mostly) Know What They Know.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Language Models (Mostly) Know What They Know

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:01.545439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e9d38b2-d208-43b3-bf03-f53f9d63c216 · outbound

This paper cites Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt.

Introspection Fine-Tuning (IFT): Training Small LLMs to Introspect Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-08-02T14:41:01.206300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.