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Paper Citation Record · LEDGER

LLM Augmented Hierarchical Agents

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.05596.

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

pith.paper-citation-record.v1
2311.05596 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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:11.987957Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T20:49:38.259372Z

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 81968371-a8ce-4b7a-8669-77e41c57c582 · inbound

Feedback-Induced Performance Decline in LLM-Based Decision-Making cites this paper.

Feedback-Induced Performance Decline in LLM-Based Decision-Making LLM Augmented Hierarchical Agents

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:48:11.987957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:48:11.987957Z digest=sha256:397f66bba93a34970b356f2c6a46e6cf8765d1d828a95d071adcdba5656abede

Observation 251ee647-48b4-4447-bdd0-a77c3aaaf30a · inbound

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing cites this paper.

Accelerating Reinforcement Learning Algorithms Convergence using Pre-trained Large Language Models as Tutors With Advice Reusing LLM Augmented Hierarchical Agents

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-08-04T20:49:38.262797Z

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=2026-08-04T20:49:37.898683Z digest=sha256:93abe92e3499f77b885bd57100fc5d85dcf08aefe666daf1c6f3dabfb0cbdd7b