Paper Citation Record · LEDGER

Inverse Reward Design

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1711.02827.

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

pith.paper-citation-record.v1
1711.02827 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:17:35.650751Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:25:39.890013Z

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 3c60cff5-5d80-4210-8030-745b67ad0e38 · inbound

Residual Reward Models for Preference-based Reinforcement Learning cites this paper.

Residual Reward Models for Preference-based Reinforcement Learning Inverse Reward Design

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:35.650751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff348be9-27de-427a-8ce6-a0f67c93a558 · inbound

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction cites this paper.

Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction Inverse Reward Design

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:49:56.182077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e66deb7-cddb-496e-8af6-af749f1b1163 · inbound

Failure Modes of Maximum Entropy RLHF cites this paper.

Failure Modes of Maximum Entropy RLHF Inverse Reward Design

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:02:39.835078Z

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.

Observation ebc9036f-b6cc-4e33-b64c-9027af34fc92 · inbound

Discovering Agentic Safety Specifications from 1-Bit Danger Signals cites this paper.

Discovering Agentic Safety Specifications from 1-Bit Danger Signals Inverse Reward Design

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:41:09.672520Z

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.

Observation e11c1503-d318-4112-9bcc-cb94808a1e4a · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Inverse Reward Design

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:11:17.567081Z

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.

Observation 6f4833c9-a915-4429-92f3-a025e1d96387 · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Inverse Reward Design

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:22:28.798431Z

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.

Observation a4ad54dd-6631-4b78-9b5e-62ffeeea874f · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Inverse Reward Design

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:25:39.892498Z

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.

Observation 78ba2229-b8ea-405b-a8ae-8c6fd44fdbbe · inbound

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers cites this paper.

The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Inverse Reward Design

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T15:29:47.104566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.