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Paper Citation Record · LEDGER

On Improving Deep Reinforcement Learning for POMDPs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1704.07978.

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

pith.paper-citation-record.v1
1704.07978 v6

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 2026-08-05T14:31:35.087409Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T23:29:13.193347Z

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 df196e73-64fd-43da-aa25-4a7373d4756a · inbound

Convergence of regularized agent-state-based Q-learning in POMDPs cites this paper.

Convergence of regularized agent-state-based Q-learning in POMDPs On Improving Deep Reinforcement Learning for POMDPs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T14:31:35.087409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:31:35.087409Z digest=sha256:a23d97f6a48bf59111212ce67c81ce4787ecb81b8d95d521445e6722a896e2d6

Observation 4473a43d-2153-4e3b-acc8-4ff7754032d2 · inbound

Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access cites this paper.

Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access On Improving Deep Reinforcement Learning for POMDPs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T13:43:29.684346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:43:29.684346Z digest=sha256:2f6cefdb7d019d051ac6c3f2cc11c8d24c7e476adb4801869e901c2d21f1c0ed

Observation 20b36415-69e6-4bcf-a3b1-1be34dc60d37 · inbound

Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning cites this paper.

Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning On Improving Deep Reinforcement Learning for POMDPs

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-05-20T23:29:13.197038Z

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=2026-05-20T23:26:23.989545Z digest=sha256:fcdeeb1363c562401fcfdaa64fb260820a6a1d52618e72ecb3f8a442ef12385b

Observation 1e5e39d1-e1e7-474e-9e3b-55eee1360ad1 · inbound

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs cites this paper.

Deep Recurrent Q-Learning Based Beam Steering Strategy for Throughput Maximization in WPCNs On Improving Deep Reinforcement Learning for POMDPs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-01T16:57:46.204861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:57:46.204861Z digest=sha256:1eb0fa498237e03e03b47d7def7406954cd7e9a5f84e901f7826cf80b52253d2