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Paper Citation Record · LEDGER

Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2502.13909.

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

pith.paper-citation-record.v1
2502.13909 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:39:29.577431Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T03:50:52.098774Z

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 f1ec966e-f56e-41e4-85cf-5df9e6a21aa5 · inbound

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models cites this paper.

Bidirectional Knowledge Distillation for Enhancing Sequential Recommendation with Large Language Models Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:29.577431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:29.577431Z digest=sha256:657b42a532b026859524ada9e0795c5fd80ed6d34d28bb3538d415cb5fcde19b

Observation 7b50f6c0-3850-4100-9469-44cadc6e242c · 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 Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T20:32:07.568303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:32:07.568303Z digest=sha256:2b380b06f63202991957fbac6558b6c0a866413272a3baf4dc9588530cec44f0

Observation 5599bdff-276b-4821-a13a-32370598670f · inbound

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation cites this paper.

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T11:02:13.396208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:02:13.396208Z digest=sha256:25ddb644415f4fe390f9e56a331f3dac50365df954d9ab0b7d5a09c9a456fd38

Observation ec26deb2-c6df-4740-8975-2d6b8fe9d407 · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks Lost in Sequence: Do Large Language Models Understand Sequential Recommendation?

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.101030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:ef8b9da274415a343fc70fcba5bd20e7414242593082871960662c9cc4ee0d8a