Paper Citation Record · LEDGER

Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2206.01078.

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

pith.paper-citation-record.v1
2206.01078 v2

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 2026-08-07T06:34:17.273281+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:21:09.115676Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:23:39.711207Z

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 9d3ee8eb-25de-469a-9b4b-b40c15e53e24 · inbound

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement cites this paper.

Optimal Return-to-Go Guided Decision Transformer for Auto-Bidding in Advertisement Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T22:21:09.115676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fbb0660-e539-4f30-93da-fcf734f3e99a · inbound

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

Reinforcement Learning in hyperbolic space for multi-step reasoning Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:24:26.214913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6efe8b81-53be-4678-afdb-761eb0947c5c · inbound

HAVEN: Hierarchical Adversary-aware Visibility-Enabled Navigation with Cover Utilization using Deep Transformer Q-Networks cites this paper.

HAVEN: Hierarchical Adversary-aware Visibility-Enabled Navigation with Cover Utilization using Deep Transformer Q-Networks Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T02:58:54.780867Z

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.

Observation 562bb0a1-d161-408a-bbcb-ca67aa7b062c · inbound

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

Transformer-Enhanced Reinforcement Learning: Fundamentals and Applications in Communication Networks Deep Transformer Q-Networks for Partially Observable Reinforcement Learning

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:23:39.712638Z

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.