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Paper Citation Record · LEDGER

Towards Integrated Alignment

As of 18 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2508.06592.

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

pith.paper-citation-record.v1
2508.06592 v1

Coverage vector

measured 3 of 3 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:56:28.187316Z

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

3 of 3 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation be23f11c-aa99-4441-881a-a78550e90ab1 · outbound

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

Towards Integrated Alignment Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T22:56:28.183707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:56:28.183707Z digest=sha256:bf4bfa35eaaa401457b180279edf6413ab47219dc048fc1a9fc52c2d5cb73197

Observation 607080ba-3337-4ebf-9fee-1b5d0d7c9046 · outbound

This paper cites On the Diversity of Synthetic Data and its Impact on Training Large Language Models.

Towards Integrated Alignment On the Diversity of Synthetic Data and its Impact on Training Large Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T22:56:28.179383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:56:28.179383Z digest=sha256:2bff4b518505692a48fa18ebb01f7fe7389d93381d7deca1eec6f18f90a413e0

Observation 79694803-20ba-4bc8-a100-c1970821ae51 · outbound

This paper cites Tamper-Resistant Safeguards for Open-Weight LLMs.

Towards Integrated Alignment Tamper-Resistant Safeguards for Open-Weight LLMs

Reference 2025

Resolution
malformed identifier
no resolver link, observed 2026-08-05T22:56:28.187316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:56:28.187316Z digest=sha256:ff4186e129a36e3623ed0487ce5d65c838ac087dba903e28d3d7f9313bfe1b27

Pith citing papers

No inbound Pith citation observations are available.