Paper Citation Record · LEDGER

Aligning Large Language Models through Synthetic Feedback

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.13735.

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

pith.paper-citation-record.v1
2305.13735 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:04.456416Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:38:37.188436Z

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 68e8bc6c-f75f-410b-9611-a8da166b9c12 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Aligning Large Language Models through Synthetic Feedback

Reference 299

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:38:37.191537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0a60f133-e2c8-4128-bf1d-35452e88f718 · inbound

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives Aligning Large Language Models through Synthetic Feedback

Reference 115

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:04.456416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97eacb36-d7ab-4c1f-9b79-8def244e34cb · inbound

CALMA: A Process for Deriving Context-aligned Axes for Language Model Alignment cites this paper.

CALMA: A Process for Deriving Context-aligned Axes for Language Model Alignment Aligning Large Language Models through Synthetic Feedback

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:10:17.344971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59a38bb7-c0e5-4670-8850-c1cb56ef7d22 · inbound

Are Today's LLMs Ready to Explain Well-Being Concepts? cites this paper.

Are Today's LLMs Ready to Explain Well-Being Concepts? Aligning Large Language Models through Synthetic Feedback

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T01:02:50.511049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.