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Paper Citation Record · LEDGER

MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.04960.

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

pith.paper-citation-record.v1
2407.04960 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:07:45.509477Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T12:06:04.778635Z

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 c85ec8a9-a7dd-4303-ae1c-fa2384edd2ce · inbound

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.

OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-12T10:20:46.853640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:20:46.853640Z digest=sha256:2652a6bf420c14a84eee871ee51fe2fff3dd70cf350c3d194efce172a01b13c5

Observation b62e5c42-cfc9-4d59-ac1e-70363f5330e1 · inbound

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts cites this paper.

Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T12:07:45.509477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:07:45.509477Z digest=sha256:1c85904b089e193ddeadbf38ba639eb1e500c4b562102bad0fca8b503932c851

Observation b9fc9dcf-38a2-4315-bd15-a527398b4725 · inbound

On Mitigating Data Sparsity in Conversational Recommender Systems cites this paper.

On Mitigating Data Sparsity in Conversational Recommender Systems MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T21:20:04.763816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:20:04.763816Z digest=sha256:9677c6eddd971463986275d0b19e14d60b0bb7f1ad507bea948423a3b473f28b

Observation 5b05ff25-586b-4e75-a44c-df6157be5095 · inbound

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations cites this paper.

Modular Representation Compression: Adapting LLMs for Efficient and Effective Recommendations MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:06:04.781885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T04:09:10.125285Z digest=sha256:eb64e02078952e7bad2b4fa8d1fae373e6f6ed7d61c477baa6455f20c4cbf5e4