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Paper Citation Record · LEDGER

Prospect Personalized Recommendation on Large Language Model-based Agent Platform

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.18240.

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

pith.paper-citation-record.v1
2402.18240 v2

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 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:18:34.339707Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:07:43.211618Z

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 ae4da650-8e3f-4b9d-9c9a-add9577f757c · inbound

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents cites this paper.

From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents Prospect Personalized Recommendation on Large Language Model-based Agent Platform

Reference 255

Resolution
unresolved
no resolver link, observed 2026-08-11T22:18:34.339707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:18:34.339707Z digest=sha256:851eba55fbc66d24a9ea545efea273fed8c00365032e0ef4e1d1e63ace4d15ea

Observation f2413d56-64ff-4ac0-aad7-866ec922ffa9 · inbound

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

A Survey on LLM-powered Agents for Recommender Systems Prospect Personalized Recommendation on Large Language Model-based Agent Platform

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T19:39:03.914106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:39:03.914106Z digest=sha256:1f449ec6263f10fba26a07d7c392443c8170facd38cfa40cfd606480ea032e73

Observation c304d746-6e18-411c-82ef-291192539bed · inbound

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.

The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems Prospect Personalized Recommendation on Large Language Model-based Agent Platform

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-06T20:43:24.348419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:24.348419Z digest=sha256:0b043eee3942870f435b8a198575066a3feb13dd1255d0d9591e9f715d8df484

Observation 85b5c48f-bdc5-48ce-85aa-e2c0d52a8c54 · inbound

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity cites this paper.

Attacking and Defending Multi-Agent Collaborative Filtering Systems Through Connectivity Prospect Personalized Recommendation on Large Language Model-based Agent Platform

Reference 71

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:07:43.217930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T22:07:42.346584Z digest=sha256:7e31b70adf1a4fdfae1be0a467ca32ff69005278fec6caf57a49e2c93fbd9ea8