Pith. sign in

Paper Citation Record · LEDGER

Theory of Mind for Deep Reinforcement Learning in Hanabi

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2101.09328.

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

pith.paper-citation-record.v1
2101.09328 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:13:56.769082Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:13:58.673525Z

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 965e11a1-a822-4066-bed2-adcb33fd377f · inbound

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning cites this paper.

Towards Machine Theory of Mind with Large Language Model-Augmented Inverse Planning Theory of Mind for Deep Reinforcement Learning in Hanabi

Reference 2010

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:13:58.739311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:13:56.769082Z digest=sha256:47650809bc6927a9ec70a0b536c48b070bd853e09e1f9a28c5767c02b42cc9da