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Paper Citation Record · LEDGER

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling

As of 13 August 2026, this Paper Citation Record lists 11 of 11 outbound references and 0 inbound Pith citation observations for arXiv:2604.25578.

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

pith.paper-citation-record.v1
2604.25578 v1

Coverage vector

measured 11 of 11 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T16:09:56.385920Z

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

11 of 11 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved1
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a1527537-2e69-4220-a0af-05f817a79eb5 · outbound

This paper cites The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants , url =.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants , url =

Reference 1

Resolution
verified exact
doi, observed 2026-05-09T02:04:35.060418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:c865c4a8895775b5bf5ab813f338aaf91437559e4b2ba83826a0772255727aff

Observation 1ce6847e-de6d-4497-a9ce-ff3afe128122 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling Scaling Instruction-Finetuned Language Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:23:37.463337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:6bb56787c6d8fade021d5a432f3544dc08bed9712dda66b6b51bbd777a229f30

Observation 9919ab2b-dd30-4a7c-8485-b523104e8135 · outbound

This paper cites B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling B ool Q : Exploring the Surprising Difficulty of Natural Yes/No Questions

Reference 3

Resolution
metadata mismatch
doi, observed 2026-05-09T02:04:35.079638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:1a97cc4765873292dee170b18044b03cb9127f70ba0d16f604e2212aa446180b

Observation f1460dfb-5971-42da-b539-dea1c5c47832 · outbound

This paper cites The State and Fate of Linguistic Diversity and Inclusion in the NLP World.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling The State and Fate of Linguistic Diversity and Inclusion in the NLP World

Reference 4

Resolution
metadata mismatch
doi, observed 2026-05-09T02:04:35.090337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:a9dd1ec8ad88ff1d33bce0c0b6c1ae4f989b84b9f50dd37d5f07d999bc480419

Observation a2326c02-d09e-4909-95b4-6c6787723322 · outbound

This paper cites Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling Okapi: Instruction-tuned Large Language Models in Multiple Languages with Reinforcement Learning from Human Feedback

Reference 5

Resolution
metadata mismatch
doi, observed 2026-05-09T02:04:35.064336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:ed1df271b1cf828ccb6e930fb7b5a4a21cf0484a54a6b5d199288956ce00d01d

Observation 9d28e757-5ab0-45ee-bcd0-d36aac858d6b · outbound

This paper cites Knowledge-Centric Hallucination Detection.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling Knowledge-Centric Hallucination Detection

Reference 6

Resolution
verified exact
doi, observed 2026-05-09T02:04:35.115880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:3685697cf981aaa72d015939647e202664837f481f3a42c428d3ea11442c1289

Observation 057493a7-3825-417d-85d9-240e2dcfdcf0 · outbound

This paper cites Social IQ a: Commonsense reasoning about social interactions.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling Social IQ a: Commonsense reasoning about social interactions

Reference 7

Resolution
metadata mismatch
doi, observed 2026-05-09T02:04:35.085774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:5d56c19012f2bfc91dd93def3e90958a27114cf21789e61435222d2db99b32da

Observation b0c55cdb-3e4f-42d2-b1c1-1b7a02f5923e · outbound

This paper cites doi: 10.18653/v1/n19-1421.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling doi: 10.18653/v1/n19-1421

Reference 8

Resolution
verified exact
doi, observed 2026-05-09T02:04:35.070457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:e81569501c5a91d52a1005e3838b2ed63457f7fcca741e1d98e92a2cc7cfb43b

Observation 6edd78d3-9082-4059-928e-3d61b6d33953 · outbound

This paper cites In: Zong, C., Xia, F., Li, W., Navigli, R.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling In: Zong, C., Xia, F., Li, W., Navigli, R

Reference 10

Resolution
malformed identifier
doi, observed 2026-05-09T02:04:35.067642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:3cf7cc6918ace5393fdc83b991bdc4dbe4efac1ed6cadb6521a3de21d1f02371

Observation 3615aa69-eb5a-4077-89a8-0c5e7c7d01dc · outbound

This paper cites an unresolved cited work.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-05-27T02:28:43.385975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:9f3243c91a898c04988dd154d3847a2e37756f3cb07c516c53cc21fd5ceb2167

Observation 8890cfc9-b6db-4618-aa01-5de0b6001eb0 · outbound

This paper cites intermediate.

Marco-MoE: Open Multilingual Mixture-of-Expert Language Models with Efficient Upcycling intermediate

Reference 12

Resolution
malformed identifier
raw_fallback, observed 2026-05-27T02:28:43.390826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-07T16:09:56.385920Z digest=sha256:b7effcc2007fede8169895b8ab324096d94b91b72a4131123573fb03f353c520

Pith citing papers

No inbound Pith citation observations are available.