Paper Citation Record · LEDGER

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation

As of 18 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2504.18012.

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

pith.paper-citation-record.v1
2504.18012 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:30:42.976683Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

15 of 15 outbound references displayed

verified exact0
verified fuzzy3
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9fa754d4-e2be-443e-a43f-05ed98468684 · outbound

This paper cites In Proceedings of the 55th Annual Meeting of the Association for Computational Lin- guistics (V olume 1: Long Papers), pages 1913–1924, Vancouver, Canada.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation In Proceedings of the 55th Annual Meeting of the Association for Computational Lin- guistics (V olume 1: Long Papers), pages 1913–1924, Vancouver, Canada

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:30:43.149130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 147b8382-a6f1-473a-a678-03e8a20a5aa2 · outbound

This paper cites an unresolved cited work.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:30:43.134163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 36961641-0da9-4b8a-bdad-d633bda7b437 · outbound

This paper cites How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation How Good Are GPT Models at Machine Translation? A Comprehensive Evaluation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.952976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee279e12-6637-4fee-a890-4abfc506a40b · outbound

This paper cites GPT-4 Technical Report.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation GPT-4 Technical Report

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.961271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23f9cc2a-4420-452c-bfbd-471e768eabae · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation Learning Transferable Visual Models From Natural Language Supervision

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.969602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7380e63c-9ce9-4d5c-944b-a3a2f7776c07 · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.973429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e7c5afb-0024-4401-bc19-a6183c0c14d8 · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Process- ing (EMNLP), pages 2685–2702, Online.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Process- ing (EMNLP), pages 2685–2702, Online

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:30:43.122345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 05476a88-35e3-4c6c-a441-ffd66d70feb1 · outbound

This paper cites In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Process- ing, pages 992–1003, Copenhagen, Denmark.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation In Proceedings of the 2017 Conference on Empirical Methods in Natural Language Process- ing, pages 992–1003, Copenhagen, Denmark

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:30:43.161794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4c7a1561-85d3-4559-aa99-2ebabcf4af5d · outbound

This paper cites an unresolved cited work.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:30:43.172215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f3009df0-9d1a-4059-a596-75f5d74a4ee8 · outbound

This paper cites Language Models are Few-Shot Learners.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation Language Models are Few-Shot Learners

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.924488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4f4c0e-5a67-4ac4-9cd6-ce8f9e74fbe6 · outbound

This paper cites Align before Fuse: Vision and Language Representation Learning with Momentum Distillation.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.957175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c32b4bf-3632-41b0-8427-01db988598a3 · outbound

This paper cites PaLM: Scaling Language Modeling with Pathways.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation PaLM: Scaling Language Modeling with Pathways

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.941471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62307c71-ef3c-4b0a-80fb-65d745eed17a · outbound

This paper cites PaLM 2 Technical Report.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation PaLM 2 Technical Report

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.919747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9a99931-4193-46cc-8b08-d4779376dff2 · outbound

This paper cites The Llama 3 Herd of Models.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation The Llama 3 Herd of Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.949179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8ea87a2-38ed-4b14-b7b1-f14f7f39c16e · outbound

This paper cites Qwen2.5 Technical Report.

Memory Reviving, Continuing Learning and Beyond: Evaluation of Pre-trained Encoders and Decoders for Multimodal Machine Translation Qwen2.5 Technical Report

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-16T10:30:42.965046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.