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Paper Citation Record · LEDGER

FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2001.06781.

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

pith.paper-citation-record.v1
2001.06781 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:51:35.773348Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T19:58:21.615308Z

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 3eb569e2-74e1-4e2e-b5be-a6537b2ea515 · inbound

Contextual bandits with entropy-based human feedback cites this paper.

Contextual bandits with entropy-based human feedback FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T23:51:35.773348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:51:35.773348Z digest=sha256:904c497a767d792f156bbd93957b70598bf1257fb4077ff77f999bbc478ae63b

Observation 71d44aa7-5877-4d8c-92cb-277a1e0e7ac9 · inbound

Where to Intervene: Action Selection in Deep Reinforcement Learning cites this paper.

Where to Intervene: Action Selection in Deep Reinforcement Learning FRESH: Interactive Reward Shaping in High-Dimensional State Spaces using Human Feedback

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:58:21.676126Z

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=2026-08-06T19:58:20.970823Z digest=sha256:d2157e1d2d537c6a94589b0fef44dc6d88de7e9896b593556cd489c51f7594f5