Paper Citation Record · LEDGER

Language Representations Can be What Recommenders Need: Findings and Potentials

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.05441.

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

pith.paper-citation-record.v1
2407.05441 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:31:00.914907Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T05:29:05.073028Z

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 77f43dc2-1d4d-433c-b312-39fab015ace9 · inbound

Unified Parameter-Efficient Unlearning for LLMs cites this paper.

Unified Parameter-Efficient Unlearning for LLMs Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-12T05:31:00.914907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e1b59be-cd46-4c59-931a-11152378c3dc · inbound

Large Language Model Enhanced Recommender Systems: A Survey cites this paper.

Large Language Model Enhanced Recommender Systems: A Survey Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T13:11:48.717110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1f02b2c-aa8a-42c3-b108-b15c62bd64ce · inbound

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis cites this paper.

Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T19:06:25.169938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f0bdd44-8ca8-4800-8d4f-d300c58a8315 · inbound

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization cites this paper.

BiFair: A Fairness-aware Training Framework for LLM-enhanced Recommender Systems via Bi-level Optimization Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:17.086620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 496a1b2a-5581-4d86-b04b-857db7e160b0 · inbound

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models cites this paper.

GR-LLMs: Recent Advances in Generative Recommendation Based on Large Language Models Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T19:06:05.949057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b85b661-031c-46ec-a7ab-afc739bbd4c3 · inbound

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View cites this paper.

Understanding Generative Recommendation with Semantic IDs from a Model-scaling View Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 1999

Resolution: unresolved; no resolver link, observed 2026-08-04T13:46:15.536041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc011f20-66c8-4d25-9831-d03951d2c6a3 · inbound

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion cites this paper.

Frozen LVLMs for Micro-Video Recommendation: A Systematic Study of Feature Extraction and Fusion Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T20:11:13.464001Z

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.

Observation 9384b8b6-242c-45a0-93d7-439253510ff9 · inbound

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer cites this paper.

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:29:05.075412Z

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.

Observation 3eb3f799-5fb8-4503-b524-c0e3a2a11b35 · inbound

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer cites this paper.

TextBridgeGNN: Pre-training Graph Neural Network for Cross-Domain Recommendation via Text-Guided Transfer Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T20:25:45.254270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22dfb71c-4ee1-4278-881d-10a80b0fc798 · inbound

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation cites this paper.

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation Language Representations Can be What Recommenders Need: Findings and Potentials

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:16:11.429028Z

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.