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Paper Citation Record · LEDGER

Discovered Policy Optimisation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.05639.

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

pith.paper-citation-record.v1
2210.05639 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:39:32.043122Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-12T16:08:56.612640Z

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 32711b8f-26da-4763-9f72-9e998b7bbf33 · inbound

Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning cites this paper.

Learning in Low-Dimensional Subspaces: Orthogonal Bottlenecks for Reinforcement Learning Discovered Policy Optimisation

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-12T16:08:56.615108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-12T15:59:38.060900Z digest=sha256:be6e7e5b4c1f3042a847dcc1869a1646493f57ea82bb8ca1ab011971fc50cf79

Observation 751073d9-931d-4729-90ca-4845ccf9647a · inbound

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback cites this paper.

LEMUR: Learning to Align with Multi-Objective Reinforcement Learning from Preference Feedback Discovered Policy Optimisation

Reference 220

Resolution
unresolved
no resolver link, observed 2026-08-03T04:39:32.043122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T04:39:32.043122Z digest=sha256:e73f30eb6b144e90f0eebb71c2449caf0eb6de223134dbe7f45e19d5176fa870