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Paper Citation Record · LEDGER

LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.21352.

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

pith.paper-citation-record.v1
2410.21352 v2

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:18:00.343574Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:35:01.544324Z

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 2bc95866-01f3-46fe-b86c-6e67c75a4723 · inbound

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression cites this paper.

Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-07T14:18:00.343574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:18:00.343574Z digest=sha256:0b328e33a2b67d8e787bf6b871ba1eb5a6499f8b453f6ea505a03572c31bc77a

Observation 7bb93c8a-aa06-44ee-a5d2-5247173e11e6 · inbound

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding cites this paper.

Event-Priori-Based Vision-Language Model for Efficient Visual Understanding LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T05:35:01.553729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:35:01.450581Z digest=sha256:0e71e553de74a1ebf2d43ebc0c4a4b770126b9552448f092665e59b8d74f959b