Paper Citation Record · LEDGER

Mission: Impossible Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.06416.

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

pith.paper-citation-record.v1
2401.06416 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:48:03.254783Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9fd1dea6-3b15-4455-ae69-4c2fdd2094e9 · inbound

Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text cites this paper.

Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text Mission: Impossible Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T19:02:02.782745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f341b96-1fa4-45ec-805a-4ceaba0aa2bd · inbound

Training Bilingual LMs with Data Constraints in the Targeted Language cites this paper.

Training Bilingual LMs with Data Constraints in the Targeted Language Mission: Impossible Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-12T17:04:34.374922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 662e7857-0d13-498e-ad93-528a5f92c744 · inbound

Why do language models perform worse for morphologically complex languages? cites this paper.

Why do language models perform worse for morphologically complex languages? Mission: Impossible Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-12T15:29:49.444554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 188d1188-47b3-4365-8483-e882c343d04a · inbound

Tree Transformers are an Ineffective Model of Syntactic Constituency cites this paper.

Tree Transformers are an Ineffective Model of Syntactic Constituency Mission: Impossible Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T12:43:26.124404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbbc3c9-49e4-4da0-b441-d37f4a99ddfc · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Mission: Impossible Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:01.723763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0626f47-a581-453b-a61f-d09b86731957 · inbound

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens cites this paper.

Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens Mission: Impossible Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T11:48:03.254783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89600225-6c25-434d-a726-6362d2be766e · inbound

Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies cites this paper.

Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies Mission: Impossible Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T21:55:30.255464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26dbe4ed-f434-47e7-9f17-8ffccf83c58d · inbound

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining cites this paper.

Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining Mission: Impossible Language Models

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-04T13:24:15.278209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 527bddb7-1b7f-498c-8cf7-f2517b082b9a · inbound

Finding Meaning in Embeddings: Concept Separation Curves cites this paper.

Finding Meaning in Embeddings: Concept Separation Curves Mission: Impossible Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.282182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d20555ad-4ebd-487e-8f86-ee673586a3fd · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models Mission: Impossible Language Models

Reference 243

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:18:58.918696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.