Pith. sign in

Paper Citation Record · LEDGER

Large Language Model Can Interpret Latent Space of Sequential Recommender

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 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 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:32:09.430825Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-23T03:03:09.697466Z digest=sha256:231d7d1010ff168a2d9dabfbf9c3c928bad8030132458cac123b560e724b79e4

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.

source=pdf_text observed=2026-08-06T20:32:09.430825Z digest=sha256:1b9eaa6313a53ef9c55bad25b9a6b9f793d1fb20c233b14e4149255a7a12c5c4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-09T19:22:33.821638Z digest=sha256:50b9834e27cf304adb44d6de6921f58297f3fb7539fcc0d8fd035a793eaf41af

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T08:17:24.191953Z digest=sha256:e90f9efc5dfefeb7f36d24836b7685f8aaf86d8541e23b5ccd4eb27cabc36e04

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T01:43:57.722971Z digest=sha256:f205e5844925b65a1b227184f92f26c55558c05468617a5e9d1dc0c5cd2ee9d8