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Paper Citation Record · LEDGER

A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.04879.

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

pith.paper-citation-record.v1
2406.04879 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:27:15.046470Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:07:41.665933Z

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 5647d77d-8fcb-4be3-9ed2-b50b3c8d46ed · inbound

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference cites this paper.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-11T12:27:15.046470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:15.046470Z digest=sha256:9a1bcede3170cb1d497c25b7d16e954d777c96ffd80a379fd868a8b56cd41255

Observation 400e92c7-d45f-4fa1-a428-3c9eff4cf0bb · inbound

Position: Theory of Mind Benchmarks are Broken for Large Language Models cites this paper.

Position: Theory of Mind Benchmarks are Broken for Large Language Models A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment Techniques

Reference 107

Resolution
metadata mismatch
local_arxiv, observed 2026-08-11T00:07:41.670852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T00:07:41.474552Z digest=sha256:2507a5a1a4766057c5bcd7a331d53bcfa84e884573ab9e121eda329583c91d0a