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Paper Citation Record · LEDGER

Asymptotics of Language Model Alignment

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.01730.

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

pith.paper-citation-record.v1
2404.01730 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:05:48.187495Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T23:57:54.516228Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e5212328-04eb-4a7d-ac0d-ed1f8725245c · inbound

Self-Improvement in Language Models: The Sharpening Mechanism cites this paper.

Self-Improvement in Language Models: The Sharpening Mechanism Asymptotics of Language Model Alignment

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-12T00:11:14.823508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:11:14.823508Z digest=sha256:53e8e32eb246901204787bfac9967de56542e2a8ea10be525d3dae7826444530

Observation 2e66e768-0e38-498c-a922-5e3849ddd6a7 · inbound

Time-Reversal Provides Unsupervised Feedback to LLMs cites this paper.

Time-Reversal Provides Unsupervised Feedback to LLMs Asymptotics of Language Model Alignment

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T23:21:06.714156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:21:06.714156Z digest=sha256:357b3aa1032ba948aadb8a438fdf6da60904de44546ae8cdf7efa59d8b4c9d18

Observation dc028ae7-2032-47b1-ae4c-ea9c11df428e · inbound

Time-Reversal Provides Unsupervised Feedback to LLMs cites this paper.

Time-Reversal Provides Unsupervised Feedback to LLMs Asymptotics of Language Model Alignment

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T23:21:06.719550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:21:06.719550Z digest=sha256:24ed5746bdec88db8f5792023b96347070df83834e20b31652acb6dc9950ce2d

Observation 683bfb0b-c6f6-4f26-85c5-593c773ca3c7 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Asymptotics of Language Model Alignment

Reference 218

Resolution
unresolved
no resolver link, observed 2026-08-11T22:57:02.108956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:57:02.108956Z digest=sha256:5a810f6fa36f743e88a70dfd738c6785adb599c7baa062ef092181be0519de86

Observation 3f19ea4a-8210-4e6a-8ea0-7611d522d089 · inbound

InfAlign: Inference-aware language model alignment cites this paper.

InfAlign: Inference-aware language model alignment Asymptotics of Language Model Alignment

Reference 64

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T23:57:54.520631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-10T23:57:54.428984Z digest=sha256:2990ef504f2d47b245bc740fce9d328d12c339a52f9f936ca18d7c733761c6f9

Observation d98e3fc8-7e38-45b1-b9b4-2aff231eb00f · inbound

Soft Best-of-n Sampling for Model Alignment cites this paper.

Soft Best-of-n Sampling for Model Alignment Asymptotics of Language Model Alignment

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T00:05:48.187495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:05:48.187495Z digest=sha256:b984bd1a481f26bf611f960072441a1c6f3a78eabcff7887a4f7627e26155686

Observation afb880f7-60a8-4599-9606-7720529be928 · inbound

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration cites this paper.

Beyond Post-Hoc Temperature Scaling: Bilevel Optimization for LLM Calibration Asymptotics of Language Model Alignment

Reference 148

Resolution
unresolved
no resolver link, observed 2026-08-15T14:33:57.456070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:33:57.456070Z digest=sha256:2501cbb5cbc1ac9dd2b02280aea63a9217cdcd008ca70b74b1bbd864b4151a72