Pith. sign in

Paper Citation Record · LEDGER

Investigating Recurrence and Eligibility Traces in Deep Q-Networks

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1704.05495.

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

pith.paper-citation-record.v1
1704.05495 v1

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 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T21:45:43.298829Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

6
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6aa40849-180f-49ba-a9ad-3d22da974035 · inbound

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning cites this paper.

Peng's Q($\lambda$) for Conservative Value Estimation in Offline Reinforcement Learning Investigating Recurrence and Eligibility Traces in Deep Q-Networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-01T14:25:45.855564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-30T21:45:43.298829Z digest=sha256:0039642d87dff33b438ae4f351075abfad75cab08241490486ef2e33f438393d

Observation 5399b261-9c58-4bd8-ab45-c87706d8d9df · inbound

Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning cites this paper.

Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning Investigating Recurrence and Eligibility Traces in Deep Q-Networks

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-06-28T07:41:45.473692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-06-28T07:37:08.423086Z digest=sha256:8e85c1700c75ab6f21faaa6386cdc82abadd4493bae91ba9f9e9c53aac4c3356