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Paper Citation Record · LEDGER

Avoiding Tampering Incentives in Deep RL via Decoupled Approval

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2011.08827.

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

pith.paper-citation-record.v1
2011.08827 v1

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 2026-08-07T10:31:58.792853Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T11:14:23.193451Z

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 04ac25a7-d05f-4256-9fdd-14d51e4f80f8 · inbound

Solving math word problems with process- and outcome-based feedback cites this paper.

Solving math word problems with process- and outcome-based feedback Avoiding Tampering Incentives in Deep RL via Decoupled Approval

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-24T11:14:23.195998Z

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.

source=pdf_text observed=2026-05-24T11:10:40.864420Z digest=sha256:99c094554f9ddf2f3f657b51bd23ad1f8225e06e4164d6d87b5b04ca23ad2327

Observation ba0a7c1f-bd17-4b2c-876b-4e66dcebbc31 · inbound

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models cites this paper.

Sycophancy to Subterfuge: Investigating Reward-Tampering in Large Language Models Avoiding Tampering Incentives in Deep RL via Decoupled Approval

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T14:43:30.081240Z

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.

source=arxiv_source observed=2026-05-17T14:43:29.496457Z digest=sha256:e098fb3d5b367033418ab0771bacf12ee93e7e1f059bb9240125cf6ab7a48bc8

Observation b2132ac7-0138-43b4-9e8b-6ed0322c2619 · inbound

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation cites this paper.

RIVAL: Reinforcement Learning with Iterative and Adversarial Optimization for Machine Translation Avoiding Tampering Incentives in Deep RL via Decoupled Approval

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:58.792853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:31:58.792853Z digest=sha256:52bced12522081e84f3004342b460bc316330f382414244b1c15be1b0ea9898f

Observation e0e3261d-bf2f-4a2e-9222-932ec166022a · inbound

Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI cites this paper.

Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI Avoiding Tampering Incentives in Deep RL via Decoupled Approval

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-01T05:03:41.453576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T05:03:41.453576Z digest=sha256:0ee3abb433bb4f1df57de6bd0421e0d4363a92599d60801e989eb86de51e1f2b