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Paper Citation Record · LEDGER

Compression of Neural Machine Translation Models via Pruning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1606.09274.

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

pith.paper-citation-record.v1
1606.09274 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:56:19.032603Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T00:15:00.872479Z

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 3a51ec5e-ebf9-45d9-a28d-ab1019eb4ae5 · inbound

Implicit Deep Learning cites this paper.

Implicit Deep Learning Compression of Neural Machine Translation Models via Pruning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T12:56:19.032603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:56:19.032603Z digest=sha256:aa8e51e9594e17fd228832e8b1a3f3b2446e0a478ae3751556625036be18ccba

Observation 0edde89a-3d42-4a8e-a9a0-a985f170644d · inbound

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads cites this paper.

Quantifying Energy and Cost Benefits of Hybrid Edge Cloud: Analysis of Traditional and Agentic Workloads Compression of Neural Machine Translation Models via Pruning

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T17:30:29.592524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:30:29.592524Z digest=sha256:5e327a45475c39ba6cbf650bffe9ad2491dbf5415f2e51c2fa9dc32951f9168b

Observation ab07f22f-8929-4368-8702-a9837140da90 · inbound

Growing Neural Networks: Dynamic Evolution through Gradient Descent cites this paper.

Growing Neural Networks: Dynamic Evolution through Gradient Descent Compression of Neural Machine Translation Models via Pruning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T01:13:15.258005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T01:13:15.258005Z digest=sha256:edc684b4282e509c70a6dae99d4c654fbe66eda53d7f65a858eac499d31e7568

Observation 620f3a9a-e8a7-4487-8596-2dd3cba85de5 · inbound

TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination cites this paper.

TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination Compression of Neural Machine Translation Models via Pruning

Reference 13

Resolution
metadata mismatch
local_arxiv, observed 2026-05-18T04:15:51.327259Z

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=2026-07-11T11:50:26.030339Z digest=sha256:4651f680dd14c014ddf9fe6494b86d468587b5d6c2544c11b1498c2db7076da1

Observation 61dc2da5-a52f-4f05-8315-2305e5a2d0d4 · inbound

TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability cites this paper.

TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability Compression of Neural Machine Translation Models via Pruning

Reference 42

Resolution
metadata mismatch
local_arxiv, observed 2026-05-22T10:11:23.168880Z

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=arxiv_source observed=2026-05-22T10:09:46.259358Z digest=sha256:62aa183e327c18565d7898bf95a075dce218b064d169000a4f1e0c641dc71c73

Observation 7b5f9550-cdda-4a21-8272-6ba26bccbef2 · inbound

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? cites this paper.

Are the High-weight Neurons the Important Ones in Image Classification Neural Networks? Compression of Neural Machine Translation Models via Pruning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-01T02:17:12.127232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:17:12.127232Z digest=sha256:0c8067bfff26e9446f204a5911219685a13d54e53a2ac155933bbee02b188875