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Paper Citation Record · LEDGER

A Survey on Transformers in Reinforcement Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2301.03044.

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

pith.paper-citation-record.v1
2301.03044 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:24:26.139099Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:23:39.723318Z

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 5e830ed3-05f7-46a7-94de-7c13c3a107a4 · inbound

Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures cites this paper.

Attention-Based Deep Reinforcement Learning for Qubit Allocation in Modular Quantum Architectures A Survey on Transformers in Reinforcement Learning

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-24T00:05:52.975075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-24T00:04:27.182687Z digest=sha256:f168117f92108e81de0c67b2097bd4374681a4082357d76c4e8dc8b89da3bf9b

Observation 5700f723-f5e9-4840-b5d7-8340f3c30fef · inbound

Reinforcement Learning in hyperbolic space for multi-step reasoning cites this paper.

Reinforcement Learning in hyperbolic space for multi-step reasoning A Survey on Transformers in Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T15:24:26.139099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:24:26.139099Z digest=sha256:c886cfc1916973d13436432b611dc475dca44049a9b90af4aad9488b25d2fb27

Observation 191a9673-57c7-434c-94f7-645f5ba200b0 · inbound

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning cites this paper.

Odysseus: Scaling VLMs to 100+ Turn Decision-Making in Games via Reinforcement Learning A Survey on Transformers in Reinforcement Learning

Reference 71

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:16:09.320345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-09T20:22:58.061772Z digest=sha256:4785dc566b022ae598a68b82e75eae393f766d13a8f17636a38dcf522b29cb23

Observation 0ff01b6a-2f5f-4d95-aa4f-2abd7c9efed6 · inbound

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks cites this paper.

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks A Survey on Transformers in Reinforcement Learning

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-06-29T16:23:39.724737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T16:14:25.741686Z digest=sha256:59fcf0970439159e362d922719cec7c8e8243d2dd1745b52d3a2a7e279be3e5e