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Paper Citation Record · LEDGER

Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2503.06594.

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

pith.paper-citation-record.v1
2503.06594 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:43:40.696475Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T21:42:11.352055Z

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 5bfdc8be-e49c-472f-ba2f-311a816a47b4 · inbound

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation cites this paper.

Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 164

Resolution
verified exact
arxiv_id, observed 2026-05-22T21:42:11.354948Z

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=2026-05-22T21:38:29.497183Z digest=sha256:a56e2928a98fa08837c3384b9e07b2d645c267f961d556ee1c83d2728068fff8

Observation 0ee97ad5-331a-4129-a39e-8065775dce87 · inbound

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code cites this paper.

VeriLoC: Line-of-Code Level Prediction of Hardware Design Quality from Verilog Code Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:40.696475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:43:40.696475Z digest=sha256:30a00dc3101bbec5001a2761a14cf77a1eabb3ddfdb9307730e5a430df814adc

Observation c1f2b532-5498-4861-9ba1-89c110d61814 · inbound

Attention2Probability: Attention-Driven Terminology Probability Estimation for Robust Speech-to-Text System cites this paper.

Attention2Probability: Attention-Driven Terminology Probability Estimation for Robust Speech-to-Text System Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T16:21:56.296458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:21:56.296458Z digest=sha256:4835ee8ce40aa89da4cc07293c445a93354f8558de0a9f2b56cd3394d4ceac01

Observation 05d79e7d-2b5a-4490-b112-262cd2cb96a2 · inbound

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs cites this paper.

NiuTrans.LMT: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:45:30.636529Z

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=2026-05-17T23:44:57.222772Z digest=sha256:3a382a67623ab105c55db9c34210f678c759fd655d09e18d4bb8ec6909b59fb6

Observation 267c52bd-43f3-40d2-b00e-ee636677471a · inbound

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models cites this paper.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:01:49.455674Z

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=arxiv_source observed=2026-05-10T06:57:03.100519Z digest=sha256:52eb413b813e5187997de99196d1223586f2dc4902120685192de73628033e14