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Paper Citation Record · LEDGER

Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.10779.

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

pith.paper-citation-record.v1
2311.10779 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:42:09.519771Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:14:54.060003Z

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 45baf873-c5c2-46d0-a1e4-ca6f9a177ed0 · inbound

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion cites this paper.

GRAM: Generative Recommendation via Semantic-aware Multi-granular Late Fusion Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T11:42:09.519771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:42:09.519771Z digest=sha256:4357f139d2689143666687457db0821c8a77dd522f324e94d631b2e7a4c7edcd

Observation a7bced7a-0b29-49b7-a975-30ee6a5c31a0 · inbound

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models cites this paper.

PageLLM: A Multi-Grained Reward Framework for Whole-Page Optimization with Large Language Models Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:14:54.067221Z

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=2026-08-07T05:14:53.895417Z digest=sha256:5fe5ba5c0629cc663ea26e8ba26333e6a909e2802226f7a0cf8d79a5940e9d1c