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Paper Citation Record · LEDGER

ICPL: Few-shot In-context Preference Learning via LLMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.17233.

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

pith.paper-citation-record.v1
2410.17233 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T01:04:04.139176Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:34:48.358810Z

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 35ac569d-eb5e-48ca-be22-58e922b18a07 · inbound

Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning cites this paper.

Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning ICPL: Few-shot In-context Preference Learning via LLMs

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T01:04:04.139176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T01:04:04.139176Z digest=sha256:4f53f433bccc32200ce388d78744fe636bebb0c4c710bc72f3cbc052a5093061

Observation fdfc61a0-60bb-41b1-8192-1c5893abc6df · inbound

Activation Reward Models for Few-Shot Model Alignment cites this paper.

Activation Reward Models for Few-Shot Model Alignment ICPL: Few-shot In-context Preference Learning via LLMs

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-06T21:02:42.514668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:42.514668Z digest=sha256:c15ccdbc65d02f17aabc9a763119c35604c864fd560b460b9fed24721b2b00da

Observation c902bb4e-61ed-4509-897a-eafe7b31fed7 · inbound

Instant Preference Alignment for Text-to-Image Diffusion Models cites this paper.

Instant Preference Alignment for Text-to-Image Diffusion Models ICPL: Few-shot In-context Preference Learning via LLMs

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-05T16:51:04.929214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:51:04.929214Z digest=sha256:1fab4e8696fbea2b1075a74c2ed8c64a66d00851620fcf232fbe263474a22986

Observation 91b493c5-99e4-4dc2-b8cc-b3e93d65fb16 · inbound

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation cites this paper.

Music Recommendation with Large Language Models: Challenges, Opportunities, and Evaluation ICPL: Few-shot In-context Preference Learning via LLMs

Reference 180

Resolution
unresolved
no resolver link, observed 2026-08-03T21:09:32.774351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:09:32.774351Z digest=sha256:54083d7bc0f5a9a39248a2c3ad7dab9748cf7a7e406b0eff24fb38eaa84a3e9d

Observation 5e3cc442-442a-4630-9fed-a12af69297d4 · inbound

Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices cites this paper.

Would a Large Language Model Pay Extra for a View? Inferring Willingness to Pay from Subjective Choices ICPL: Few-shot In-context Preference Learning via LLMs

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T02:44:40.688443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:44:40.688443Z digest=sha256:a0fc6ecc7523bb7b1412544263185f1e36248d59759bff0979b0fbdb59bca094

Observation f88d8ead-841e-4841-851a-64c39869993e · inbound

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models cites this paper.

From Demonstrations to Rewards: Test-Time Prompt Optimization for VLM Reward Models ICPL: Few-shot In-context Preference Learning via LLMs

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-30T15:34:48.360181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T15:25:14.906470Z digest=sha256:6aee9971c0c4bb7004257a0082a430cd5583e77fa5f50d1706ac7fbee188ebb3