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Paper Citation Record · LEDGER

Benchmarks for Deep Off-Policy Evaluation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2103.16596.

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

pith.paper-citation-record.v1
2103.16596 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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T13:20:02.622343Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

25
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6bd423b6-7c46-4490-a2fb-e2ed170cc24a · inbound

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation cites this paper.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Benchmarks for Deep Off-Policy Evaluation

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-13T08:51:55.914100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T08:51:55.826747Z digest=sha256:cc19ee945c73a467b7a83497f3b63d84850ba409f17f04400b08318cbd172c47

Observation d99dedb5-1120-40e0-9929-76a754cae6b7 · inbound

MetaboNet: The Largest Publicly Available Consolidated Dataset for Type 1 Diabetes Management cites this paper.

MetaboNet: The Largest Publicly Available Consolidated Dataset for Type 1 Diabetes Management Benchmarks for Deep Off-Policy Evaluation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:20:57.361896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-16T13:20:02.622343Z digest=sha256:0c6ee426d8d0c126e75b5d2cb7a4a25439cd89d6822692c29b13dccf25a77f97