Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Model Compression and Efficient Inference for Large Language Models: A Survey
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.09748.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:33.625921Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:56:27.554566Z
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 d24ca4ff-f888-49d9-811d-5557fb4027a4 · inbound
A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.
A Survey on the Memory Mechanism of Large Language Model based Agents Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T07:21:39.769822Z
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.
Observation 835075e9-1ccd-4deb-ae0f-2736f3b201c6 · inbound
A Survey on Efficient Inference for Large Language Models cites this paper.
A Survey on Efficient Inference for Large Language Models Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T02:39:33.448971Z
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.
Observation e42e9059-5993-418e-b343-be9a7a8d1a32 · inbound
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs cites this paper.
SmoothRot: Combining Channel-Wise Scaling and Rotation for Quantization-Friendly LLMs Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:47:33.625921Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 672c3344-f7a9-49ba-95cb-9c901ddbcfe5 · inbound
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones cites this paper.
Projectable Models: One-Shot Generation of Small Specialized Transformers from Large Ones Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:20:23.498590Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0c3594e-3379-4cdf-940e-f6ebc5f120d6 · inbound
Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code cites this paper.
Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T00:01:55.806760Z
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.
Observation 0b1e59f2-78c2-4de4-aa9b-8cc03e553711 · inbound
Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training cites this paper.
Crown, Frame, Reverse: Layer-Wise Scaling Variants for LLM Pre-Training Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:33:35.117902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a70f26f-42a2-4858-8760-ff0151d0109d · inbound
Less LLM, More Documents: Searching for Improved RAG cites this paper.
Less LLM, More Documents: Searching for Improved RAG Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T11:16:19.195844Z
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.
Observation a3eccf1f-c30e-4128-a5f4-2a3659e5b6db · inbound
Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models cites this paper.
Evolution Strategy-Based Calibration for Low-Bit Quantization of Speech Models Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:35:50.708362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 595d78a1-daf7-4559-a298-6c6e163dae39 · inbound
Averaged Evaluation Masks Capability Trade-Offs: Multi-Source Calibration for High-Sparsity LLM Pruning cites this paper.
Averaged Evaluation Masks Capability Trade-Offs: Multi-Source Calibration for High-Sparsity LLM Pruning Model Compression and Efficient Inference for Large Language Models: A Survey
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:56:27.557198Z
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.