Paper Citation Record · LEDGER

Personalized LLM Response Generation with Parameterized Memory Injection

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.03565.

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

pith.paper-citation-record.v1
2404.03565 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:21.082618Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4ff8b348-5d85-43c2-8aa7-f707397c1930 · inbound

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search cites this paper.

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search Personalized LLM Response Generation with Parameterized Memory Injection

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:21.082618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64bdb40a-1ee2-4198-affa-13d07bfc9a5b · inbound

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs cites this paper.

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs Personalized LLM Response Generation with Parameterized Memory Injection

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T10:26:12.398957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da700912-f022-4f12-8a5e-b883d8c1af28 · inbound

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation cites this paper.

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation Personalized LLM Response Generation with Parameterized Memory Injection

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-10T16:50:36.414182Z

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.

Observation 025bfbdb-bc84-4bb8-b736-ac5547fdc057 · inbound

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization cites this paper.

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization Personalized LLM Response Generation with Parameterized Memory Injection

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:56:20.618326Z

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.

Observation cb00e9af-34d6-45e7-9d8c-8bbc4785d2d9 · inbound

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization cites this paper.

CoPersona: Collaborative Persona Graphs for Robust LLM Personalization Personalized LLM Response Generation with Parameterized Memory Injection

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-03T18:28:48.445088Z

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.

Observation 194918f0-d35b-4f26-9e73-6866338f75bf · inbound

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging cites this paper.

Personalized Image Aesthetic Assessment via Preference-rich Sample Mining and Cohort Merging Personalized LLM Response Generation with Parameterized Memory Injection

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T22:28:28.334745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.