Paper Citation Record · LEDGER

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation

As of 5 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2605.26612.

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

pith.paper-citation-record.v1
2605.26612 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

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

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact12
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

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

This paper cites PeReGrINE: Evaluating Personalized Review Fidelity with User Item Graph Context.

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 2026-08-05T06:32:48.257954+00:00.

Observation 71711f2c-a313-4153-afbd-5fe37e5c3e7e · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:43:50.803157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c6894e6-0e26-4f9f-aaf7-7331b2d870f4 · outbound

This paper cites Learning phrase representations using RNN encoder-decoder for statistical machine translation.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Learning phrase representations using RNN encoder-decoder for statistical machine translation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-29T18:36:50.012434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 653bc5ad-d97e-46fc-a32e-14b66d546720 · outbound

This paper cites PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Synthesis in Question Answering

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.821505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1c607434-e5fa-48ab-8129-bdf42e67f4e3 · outbound

This paper cites The Llama 3 Herd of Models.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation The Llama 3 Herd of Models

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:43:50.805810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e8ce53d2-938d-4d71-86e2-1f449c584202 · outbound

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

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:43:50.816634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation db9f05eb-89c3-49e7-858f-59cd0ea58885 · outbound

This paper cites LongLaMP: A Benchmark for Personalized Long-form Text Generation.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation LongLaMP: A Benchmark for Personalized Long-form Text Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.824137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b876cb46-5edc-4f71-9154-987646d7c66b · outbound

This paper cites Evaluating Very Long-Term Conversational Memory of LLM Agents.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Evaluating Very Long-Term Conversational Memory of LLM Agents

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T18:43:50.818865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c3e3e67-8c46-42ca-a33b-a09b77168077 · outbound

This paper cites Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.814262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 71104885-0a07-4fbd-afe3-d2cc6d3bb2b7 · outbound

This paper cites User-LLM: Efficient LLM Contextualization with User Embeddings.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.811474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 9a04e0d6-0f6a-4878-9494-710ad87d7363 · outbound

This paper cites Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.796988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9cf2a11-1504-4aab-b5d1-3f1261de6548 · outbound

This paper cites Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.804838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cd7d5f5f-d9fe-4555-99a8-ce8186faed5b · outbound

This paper cites LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T18:43:50.812805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb316280-4a3c-491f-9ef7-f7f1ba2a42ca · outbound

This paper cites Qwen3 Technical Report.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Qwen3 Technical Report

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T18:43:50.817680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ea6033dc-1ddc-46ca-aab6-ba8dfb09571c · outbound

This paper cites Memorycd: Benchmarking long-context user memory of llm agents for lifelong cross-domain personalization.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Memorycd: Benchmarking long-context user memory of llm agents for lifelong cross-domain personalization

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T18:43:50.815369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f70217f5-a5f6-4864-be9d-de8aa35aa926 · outbound

This paper cites A beautiful and thoughtful book with an interesting plot and compelling characters. The writing is well crafted and the themes resonate.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation A beautiful and thoughtful book with an interesting plot and compelling characters. The writing is well crafted and the themes resonate

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-29T18:36:50.012434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.