Paper Citation Record · LEDGER

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation

As of 21 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2608.03077.

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

pith.paper-citation-record.v1
2608.03077 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:56:47.011515Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy4
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54333c48-7c3d-43a9-95d9-f90da542d764 · outbound

This paper cites an unresolved cited work.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.961523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb2c512-76d4-4809-9cdc-888512ae94b0 · outbound

This paper cites an unresolved cited work.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.966566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86b042ed-c959-4d5e-aadc-d5f4790f83dc · outbound

This paper cites an unresolved cited work.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.971694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a94604-3f93-4eb0-8288-2de673a309ff · outbound

This paper cites GPT-4o System Card.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation GPT-4o System Card

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.944038Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92228a6a-19e6-47f1-bc9f-ea4ba943fe9d · outbound

This paper cites Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Tower+: Bridging Generality and Translation Specialization in Multilingual LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.949943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27bbf911-5a1c-4efa-ab23-f0f0efd67482 · outbound

This paper cites errors": [ {.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation errors": [ {

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:56:47.178809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf618547-7192-4dae-8c1c-c285229a9454 · outbound

This paper cites •Non-translation Error: Translation is unassessable and unrelated to the Source.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation •Non-translation Error: Translation is unassessable and unrelated to the Source

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:56:47.205392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c13b9504-0a0f-4da0-b1f1-7a5c15855a0d · outbound

This paper cites an unresolved cited work.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.982551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00436b06-780b-4800-8f5a-6a5eb3ee185f · outbound

This paper cites an unresolved cited work.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.995541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f60aefbe-83df-4ec8-8f46-7b2214201938 · outbound

This paper cites an unresolved cited work.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-15T14:56:47.155249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a5f031da-7fad-4da8-8737-4087d6974f6b · outbound

This paper cites an unresolved cited work.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:47.006515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ade3c531-58cf-4172-a49c-62f98b7776aa · outbound

This paper cites tran- sitional period.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation tran- sitional period

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:56:47.256369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1456277e-0b63-4705-b063-5d79314fb02c · outbound

This paper cites level":.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation level":

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:56:47.129212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0e5494c2-1c61-41df-8ec9-96186cc38ff7 · outbound

This paper cites Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.932676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 146b9939-01ae-442f-b162-eb65b80f0eaa · outbound

This paper cites Let's Verify Step by Step.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation Let's Verify Step by Step

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.938930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a549887c-16f2-4b0b-9347-801406694a34 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

PAMT: Process-Aligned Reinforcement Learning for Multi-Domain Machine Translation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T14:56:46.927154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.