Paper Citation Record · LEDGER

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context

As of 1 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 1 inbound Pith citation observation for arXiv:2604.07788.

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

pith.paper-citation-record.v1
2604.07788 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:53:27.737656Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-31T06:34:12.847434+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T18:36:50.012434Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T18:43:50.825299Z

Reference resolution

10 of 10 outbound references displayed

verified exact5
verified fuzzy2
unresolved0
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e502a94b-72d4-42f5-8af9-3cebbf515fcd · outbound

This paper cites Personalized text gen- eration with fine-grained linguistic control.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context Personalized text gen- eration with fine-grained linguistic control

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T08:24:18.283814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 104eff3a-16ee-4338-90c0-ed3dcafa081d · outbound

This paper cites Personalized Graph-Based Retrieval for Large Language Models.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context Personalized Graph-Based Retrieval for Large Language Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:55:57.540804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation b47a75da-fdf5-4989-97d8-8c33ebaf41ca · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-11T05:55:57.531371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation fb859703-c235-4660-a8fb-615400c5933d · outbound

This paper cites Person- aLLM: Investigating the ability of large language models to express personality traits.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context Person- aLLM: Investigating the ability of large language models to express personality traits

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T08:24:18.287047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 95e2dbe1-f81d-4e4d-992d-1cd6d39181ae · outbound

This paper cites PersonaLLM: Investigating the ability of large language models to express personality traits.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context PersonaLLM: Investigating the ability of large language models to express personality traits

Reference 5

Resolution: metadata mismatch; doi, observed 2026-05-10T20:40:48.138233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation d5bca224-1a07-4c71-ae60-b3af04d38d9c · outbound

This paper cites doi: 10.18653/v1/2024.customnlp4u-1.16.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context doi: 10.18653/v1/2024.customnlp4u-1.16

Reference 6

Resolution: verified exact; doi, observed 2026-05-10T20:40:48.150942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation d5c68a22-2674-4eb7-a679-dc2f8443784b · outbound

This paper cites L a MP : When Large Language Models Meet Personalization.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context L a MP : When Large Language Models Meet Personalization

Reference 7

Resolution: metadata mismatch; doi, observed 2026-05-10T20:40:48.144221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation bae97644-10d6-4e80-a694-0d828d59bc29 · outbound

This paper cites TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:55:57.517126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation bb70ef2d-40d6-40fa-9c0a-65caa7967218 · outbound

This paper cites doi: 10.18653/v1/P18-1205.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context doi: 10.18653/v1/P18-1205

Reference 9

Resolution: verified exact; doi, observed 2026-05-10T20:40:48.140644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Observation 0706c5d8-873c-4c0c-9f5d-1373b1299363 · outbound

This paper cites A.1 Pre-Processing and Graph Construction The raw dataset is sparse and noisy.

PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context A.1 Pre-Processing and Graph Construction The raw dataset is sparse and noisy

Reference 10

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T05:55:57.524093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.

Pith citing papers

Observation 29bbd318-0e6e-424f-9d3c-182df75f6144 · inbound

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation cites this paper.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:43:50.826687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.