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Paper Citation Record · LEDGER

Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.12110.

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

pith.paper-citation-record.v1
2408.12110 v1

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T22:39:42.446147Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T22:43:51.635349Z

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 9da300ea-e37f-4b86-9d73-6aeb20c8f647 · inbound

Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation cites this paper.

Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:17:27.887876Z

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=2026-05-13T07:17:21.543713Z digest=sha256:374760d245ee35d774f91d77812657b38ceaea147e80607a34b6f453fab33be8

Observation a900ca25-4c98-45bb-81bb-a5e4e9d59e97 · inbound

Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation cites this paper.

Split the Differences, Pool the Rest: Provably Efficient Multi-Objective Imitation Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:43:51.638416Z

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=2026-05-20T22:39:42.446147Z digest=sha256:84650620293118b271420eefb1886e3fbde76ad11cb94aadf633fb09beefec7a