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Paper Citation Record · LEDGER

You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2205.15967.

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

pith.paper-citation-record.v1
2205.15967 v2

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 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:52:14.243975Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T12:02:41.030808Z

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 8862e074-d44a-4521-a4bf-34ddff2549f7 · inbound

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers cites this paper.

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-12T18:52:14.243975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:52:14.243975Z digest=sha256:484bbb677fe7ab777dbbc628f1b5e89d085376607613f4c524b5b5a2b96a9479

Observation 665db456-95e9-4dce-a217-8390a05d83f6 · inbound

Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence cites this paper.

Multi-Objective Reinforcement Learning for Automated Resilient Cyber Defence You Can't Count on Luck: Why Decision Transformers and RvS Fail in Stochastic Environments

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-12T12:02:41.035913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-12T12:02:40.885992Z digest=sha256:bf49eb4f0fdeb52d3319c22c583472f8f5044bbd7df3ce3b2604e9a01f74f609