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Paper Citation Record · LEDGER

Preprocessing Reward Functions for Interpretability

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.13553.

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

pith.paper-citation-record.v1
2203.13553 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:38:50.544516Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T18:40:03.554240Z

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 0bff0728-f114-4b9d-8edc-c33ad3690e8d · inbound

Reward Models in Deep Reinforcement Learning: A Survey cites this paper.

Reward Models in Deep Reinforcement Learning: A Survey Preprocessing Reward Functions for Interpretability

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T19:38:50.544516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:38:50.544516Z digest=sha256:a8e954db73c12de0f85cb772b8e7266041a40facf4da02ed2cca613b6b87ff5b

Observation 9b0315dc-b96a-4872-917c-73d29f70ef28 · inbound

A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs cites this paper.

A Survey of Explainable Reinforcement Learning: Targets, Methods and Needs Preprocessing Reward Functions for Interpretability

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-06T16:47:07.034858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:47:07.034858Z digest=sha256:dcb8f323addae42b39e5f4e1aecd6bc3a51e148386ae7ebfffd70601e1bd0667

Observation e65525f1-5cc0-4996-9572-77c732889771 · inbound

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges cites this paper.

Explainable AI for Next-Generation Wireless Physical Layer: Basics, State-of-the-Art, and Open Challenges Preprocessing Reward Functions for Interpretability

Reference 86

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:40:03.556242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-25T22:34:33.698421Z digest=sha256:6ff5ef4d19b69949a6bd5952d1fc2aacc2202322c6a50adaf2dfe32996d91964