Paper Citation Record · LEDGER

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance

As of 8 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2602.10217.

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

pith.paper-citation-record.v1
2602.10217 v2

Coverage vector

measured 8 of 8 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T01:20:06.768825Z

measured 8 of 8 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

8 of 8 outbound references displayed

verified exact0
verified fuzzy0
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f13d7eac-6d23-431c-9125-eb259b7b8def · outbound

This paper cites Discriminative learning for differing training and test distributions.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance Discriminative learning for differing training and test distributions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.572462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd55a782-bc3a-4c2b-8c64-b16af2412c3a · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance Who's Harry Potter? Approximate Unlearning in LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.622090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d8dcfc2-6145-4cdf-b8b6-084fe5a12fdf · outbound

This paper cites Zero: Memory optimiza- tions toward training trillion parameter models.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance Zero: Memory optimiza- tions toward training trillion parameter models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.741005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0f0562d-8aaa-4074-b688-bb62d8303a8c · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance TOFU: A Task of Fictitious Unlearning for LLMs

Reference 267

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.714333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa6f9e4a-231e-448a-9354-8d2153a96480 · outbound

This paper cites The Llama 3 Herd of Models.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance The Llama 3 Herd of Models

Reference 291

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.677697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation faaef913-ff3c-479b-8cd1-8b06c67a0fd6 · outbound

This paper cites Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.650530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39672177-5a07-451f-ac53-8b833ba17a82 · outbound

This paper cites Extracting training data from large language models.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance Extracting training data from large language models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.594465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45dbac0a-04a9-428c-a1de-0b097007f597 · outbound

This paper cites Trust region policy optimization.

Temper-Then-Tilt: Principled Unlearning for Generative Models through Tempering and Classifier Guidance Trust region policy optimization

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T01:20:06.768825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.