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Paper Citation Record · LEDGER

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.20027.

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

pith.paper-citation-record.v1
2410.20027 v2

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 2026-08-07T19:39:03.415656Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:14:11.201362Z

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 4a17a174-4c29-4932-8b0f-7625e4ebcf14 · inbound

A Survey on LLM-powered Agents for Recommender Systems cites this paper.

A Survey on LLM-powered Agents for Recommender Systems Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T19:39:03.415656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:39:03.415656Z digest=sha256:b8c6245e9e473a349bbe47adc98d62e2ca44b2937b238858d77dc87228a8377b

Observation a0533185-82bc-44b9-952a-af2472311409 · inbound

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems cites this paper.

AgentRecBench: Benchmarking LLM Agent-based Personalized Recommender Systems Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:14:11.242099Z

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=2026-08-07T14:14:10.525771Z digest=sha256:2a81d8f87b1a1cf4dda4f6c06313933dd5739d97ad442549916a482e637fcdf9