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Paper Citation Record · LEDGER

Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.02992.

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

pith.paper-citation-record.v1
2411.02992 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:58:43.370741Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:52:16.252010Z

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 a8f87141-5611-4402-88d1-4f8073b255ec · inbound

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration cites this paper.

Teach Me How to Denoise: A Universal Framework for Denoising Multi-modal Recommender Systems via Guided Calibration Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T11:58:43.370741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:58:43.370741Z digest=sha256:26c4da37bb458b52d271231d3a55f2498ff495f9036bbd7c34937d3c91ad361c

Observation df20a036-0c49-47b4-9967-79fbad5d2642 · inbound

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval cites this paper.

The 1st EReL@MIR Workshop on Efficient Representation Learning for Multimodal Information Retrieval Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T11:43:54.796339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:43:54.796339Z digest=sha256:ac401760e836e8d75ca57d9f70628edfad35e90024fc6aa48c97fc531be5e13e

Observation 6575eda3-5343-4888-aed5-b0c5c45f7e7b · inbound

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations cites this paper.

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations Efficient and Effective Adaptation of Multimodal Foundation Models in Sequential Recommendation

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:52:16.342181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T20:52:12.334243Z digest=sha256:d781c00b9b22a1dae60f8bf0bf91d886f723acfe9798d64ac43599ff71d1328d