Paper Citation Record · LEDGER

A Survey on Transformer Compression

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.05964.

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

pith.paper-citation-record.v1
2402.05964 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:12:14.563587Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:36:17.329300Z

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 e5340ae3-5225-4259-a177-bacab80a4daf · inbound

A Survey on Efficient Inference for Large Language Models cites this paper.

A Survey on Efficient Inference for Large Language Models A Survey on Transformer Compression

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:33.600583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a8167720-6f32-4f08-a8fe-57a3f9f7af08 · inbound

Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models cites this paper.

Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models A Survey on Transformer Compression

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:34.067027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 66aa30a7-72a9-4c8d-bd1d-bdd1aa3a9284 · inbound

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models A Survey on Transformer Compression

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:44:26.532491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c5f89143-76b1-4882-abdf-869b49aab718 · inbound

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization cites this paper.

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization A Survey on Transformer Compression

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T13:12:14.563587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e89911bd-6ab5-478a-8be7-90820dc3534d · inbound

Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction cites this paper.

Distill-then-Replace: Efficient Task-Specific Hybrid Attention Model Construction A Survey on Transformer Compression

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T10:12:43.502045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8240d2a2-a042-43a1-9d48-a0ae110b3cc1 · inbound

D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs cites this paper.

D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs A Survey on Transformer Compression

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:37:28.951036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d403bebb-903f-4fb2-b790-235b821540f0 · inbound

Depth Adaptive Efficient Visual Autoregressive Modeling cites this paper.

Depth Adaptive Efficient Visual Autoregressive Modeling A Survey on Transformer Compression

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:26:27.622851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 1e29b0d3-ed6f-48e1-91d7-e77941baf7c3 · inbound

Do Transformers Need Three Projections? Systematic Study of QKV Variants cites this paper.

Do Transformers Need Three Projections? Systematic Study of QKV Variants A Survey on Transformer Compression

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:36:17.330967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3f32ec1b-36c5-44d4-b315-a9b0c5d86c85 · inbound

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers cites this paper.

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers A Survey on Transformer Compression

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-31T02:57:29.274601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.