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Paper Citation Record · LEDGER

A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.00333.

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

pith.paper-citation-record.v1
2406.00333 v2

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 2026-08-18T06:34:40.430872+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:00.791382Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:57:45.027662Z

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 c276173a-d865-4133-931d-3de52849c5f7 · inbound

ULMRec: User-centric Large Language Model for Sequential Recommendation cites this paper.

ULMRec: User-centric Large Language Model for Sequential Recommendation A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-11T20:40:43.566149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:40:43.566149Z digest=sha256:01e69de0601e6f686c8cd353e3ccb9c4da964366edbb54648258af533b865af4

Observation 6157599c-5fd3-48e6-a1f5-a4c5eee181bb · inbound

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

Large Language Model Enhanced Recommender Systems: A Survey A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T13:11:48.635132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T13:11:48.635132Z digest=sha256:19a584a46d2c99be2247026f7727fd87cb1ef79467a253b196d404d4d6c04ce5

Observation e336d4a2-e56b-432a-81d0-bc52c64e40c1 · inbound

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation cites this paper.

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T10:22:00.791382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:22:00.791382Z digest=sha256:a4fed88f39677a8cc686acd12c600cfdc33e1554528bb1d8c8ba1e15f071cfb9

Observation 61c5c129-f5f5-42da-956f-4405d644893a · inbound

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation cites this paper.

LLM2Rec: Large Language Models Are Powerful Embedding Models for Sequential Recommendation A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T20:05:22.725027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:05:22.725027Z digest=sha256:91215727889177ffb0fe7c3e3863229ecb9011ee0bc6f90fbed6316a7ccc65b2

Observation a1f62bb3-9184-4040-a5e0-ba69673c0ccb · inbound

Generative Archetype-Grounded Item Representations for Sequential Recommendation cites this paper.

Generative Archetype-Grounded Item Representations for Sequential Recommendation A Practice-Friendly LLM-Enhanced Paradigm with Preference Parsing for Sequential Recommendation

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:57:45.029137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-27T11:24:01.684703Z digest=sha256:e2091835b7e751d1b39807a7c7578b473c4ed8580ed8aef2be0964e4d5a1c95e