Paper Citation Record · LEDGER

Large Language Model Can Interpret Latent Space of Sequential Recommender

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2310.20487.

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

pith.paper-citation-record.v1
2310.20487 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:47:37.819546Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:25:33.408326Z

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 521ebe10-ad1d-4391-ac6d-6ac5b79c7e0d · inbound

A Survey on Sequential Recommendation cites this paper.

A Survey on Sequential Recommendation Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 153

Resolution: unresolved; no resolver link, observed 2026-08-11T13:47:37.819546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b04f3fe-86a3-46fe-8fc1-c32f230aaa4b · inbound

Multi-Grained Patch Training for Efficient LLM-based Recommendation cites this paper.

Multi-Grained Patch Training for Efficient LLM-based Recommendation Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-10T14:41:39.339936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddac3236-d1b7-4cea-9f91-648b969370c2 · inbound

LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation cites this paper.

LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-09T20:58:46.170476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 721b456b-dfcb-428e-b369-8d51b7a1b936 · inbound

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations cites this paper.

Can Explanations Improve Recommendations? Evidence from Prediction-Informed Explanations Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 98

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:05:20.868568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f3d3c597-11e8-4b8f-b67b-b342d722c2d3 · inbound

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning cites this paper.

Enhancing Temporal Sensitivity of Large Language Model for Recommendation with Counterfactual Tuning Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:09.430825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c933860-7d4c-4f93-b07e-26b8a7f55d60 · inbound

DynamicPO: Dynamic Preference Optimization for Recommendation cites this paper.

DynamicPO: Dynamic Preference Optimization for Recommendation Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:46:08.563054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e9aba6b-4034-4665-930e-3f2a4ad7589b · inbound

DynamicPO: Dynamic Preference Optimization for Recommendation cites this paper.

DynamicPO: Dynamic Preference Optimization for Recommendation Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-01T08:25:33.409808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bdffab7b-5f34-453d-831d-3ae899a4a8a0 · inbound

Efficient LLM-based Advertising via Model Compression and Parallel Verification cites this paper.

Efficient LLM-based Advertising via Model Compression and Parallel Verification Large Language Model Can Interpret Latent Space of Sequential Recommender

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:04.208160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.