Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2311.09049.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:25:38.702222Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T05:06:39.800798Z
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 28048c4a-5ba9-4b3e-9e9b-3d95a016626d · inbound
MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender cites this paper.
MVIGER: Multi-View Variational Integration of Complementary Knowledge for Generative Recommender Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T22:23:31.434430Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9c09e7e1-7968-40bd-9652-6448c27c7f24 · inbound
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation cites this paper.
OMuleT: Orchestrating Multiple Tools for Practicable Conversational Recommendation Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:20:46.904071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2dd7c34-d94a-41af-912e-82ffc29bd39f · inbound
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization cites this paper.
Semantic Convergence: Harmonizing Recommender Systems via Two-Stage Alignment and Behavioral Semantic Tokenization Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:53:22.510857Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 190ab852-95ad-479d-b3c2-500b696aaad8 · inbound
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation cites this paper.
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:26:33.306860Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97639530-7c27-4edd-be49-ef78d13aa6d3 · inbound
LLMs Need Encoders for Semantic IDs Too cites this paper.
LLMs Need Encoders for Semantic IDs Too Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T20:42:37.364907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ec211011-c90e-40d8-8d69-55fe38313684 · inbound
VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders cites this paper.
VirtualMLE: A Virtual ML Engineer that Optimizes Sequential Recommenders Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T05:06:39.802171Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 65b8eea7-bb39-48d0-a1ad-eda3418c1277 · inbound
Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation cites this paper.
Beyond Fixed Depths and Widths: Optimizing Textual Decoding Tries in LLM-based Generative Recommendation Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:27:57.602949Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 938041a2-e239-41b8-b8bc-e2be8ed876a0 · inbound
Guess Where You Go: Generative Next Point-of-Interest Recommendation in Amap cites this paper.
Guess Where You Go: Generative Next Point-of-Interest Recommendation in Amap Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T06:52:13.693193Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b27ae927-5f33-4528-9087-5827b5b39098 · inbound
Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative Recommendation cites this paper.
Learning from Unreachable Rewards: Hint-Conditioned Reinforcement Learning for Generative Recommendation Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:25:38.702222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.