Pith. sign in

Paper Citation Record · LEDGER

Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.05434.

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

pith.paper-citation-record.v1
2410.05434 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:36:14.477806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:46:56.112041Z

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 1d4189ef-0bfb-401f-9c73-96bf7b58654b · inbound

Process Reward Models for LLM Agents: Practical Framework and Directions cites this paper.

Process Reward Models for LLM Agents: Practical Framework and Directions Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T18:39:37.915767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T18:39:37.915767Z digest=sha256:11982eb707427bc13a4f487511548fff7fcfd3c17f3016c99f92e92f0aba3ee1

Observation 91a286e6-aff4-4a5e-9e77-2a1946c0938e · inbound

Distilling Realizable Students from Unrealizable Teachers cites this paper.

Distilling Realizable Students from Unrealizable Teachers Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T21:36:14.477806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:36:14.477806Z digest=sha256:dedfdcf1be81a94c180d1d81a8b6c38fd3ddbc2109756c4a90f0aed0a3b8fc4e

Observation ecbf1cf4-c8e1-4328-9614-e6e5d7fd85a0 · inbound

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents cites this paper.

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:46:56.113701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-28T02:53:54.942603Z digest=sha256:5247057de479238a7349b78e33a029ee8985fa3aef6cc48164d56d79d71587c3

Observation 36ce16a8-6d34-4799-8027-8ad98fdeaa75 · inbound

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents cites this paper.

Autoregressive Diffusion World Models for Off-Policy Evaluation of LLM Agents Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-02T12:24:48.742647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:24:48.742647Z digest=sha256:ec996075b8b4d44525640f316a9c88fbe0ef9d5f5d8e4ad03ae2a863fc1d72e5

Observation 9aca5b12-4705-4e12-ada8-02c4c6bee91f · inbound

What Drives Interactive Improvement from Feedback? cites this paper.

What Drives Interactive Improvement from Feedback? Better than Your Teacher: LLM Agents that learn from Privileged AI Feedback

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T12:05:43.492852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-07-01T02:36:20.649687Z digest=sha256:bf2723b0bbe219a3c309031db07134d8504369ad4b6d13e449f42b458c330e87