Pith. sign in

Paper Citation Record · LEDGER

A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.13410.

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

pith.paper-citation-record.v1
2411.13410 v1

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 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:49:31.040589Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:52:10.203651Z

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 9faa6ac4-da25-47ec-a49f-093ca02ed54f · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:52:10.206920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:c3ee8bec10055e8d0fb23896e6eeadb3271889213f90f08fa89b6be6367814b6

Observation 8f4ded18-1345-48f0-99d2-3ef83c081391 · inbound

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning cites this paper.

MARCO: Meta-Reflection with Cross-Referencing for Code Reasoning A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:49:31.040589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:49:31.040589Z digest=sha256:8dffd0222e41f88ab0353e8aa12915142356702da6d3b2d52371a560f3f10f25

Observation 693244ae-1063-432e-a529-52d44d492358 · inbound

LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation cites this paper.

LLM-Guided Reinforcement Learning: Addressing Training Bottlenecks through Policy Modulation A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:38.995783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:53:38.995783Z digest=sha256:2d2cb0d08051064451fb60e1a1cc9c28c15bad5f61bc711b83f65f187b1ca34b

Observation 2af1b1a6-5461-4764-9987-518e640f6b4c · inbound

Evaluation of LLMs for mathematical problem solving cites this paper.

Evaluation of LLMs for mathematical problem solving A Survey On Enhancing Reinforcement Learning in Complex Environments: Insights from Human and LLM Feedback

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:03.514978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:03.514978Z digest=sha256:27079291fded9e0399e7b2b0bea755d3a6ef97f33d6209fe790e14302dd32991