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Paper Citation Record · LEDGER

MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.08818.

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

pith.paper-citation-record.v1
2407.08818 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:23:18.465648Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T08:07:34.337501Z

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 6f6878c7-4c7f-4bf3-a70a-5bf21ad2c671 · inbound

Beyond Literal Token Overlap: Token Alignability for Multilinguality cites this paper.

Beyond Literal Token Overlap: Token Alignability for Multilinguality MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T15:23:18.465648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:23:18.465648Z digest=sha256:32ffcb6ddd4c1d58d22dfdda96c70dd670422768b4ced299ad6913480cbe7df8

Observation a6e835f4-a804-4501-a480-56ff5a8da5ef · inbound

Synergy: End-to-end Concept Model cites this paper.

Synergy: End-to-end Concept Model MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T16:45:33.629105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:45:33.629105Z digest=sha256:a903c739d0bfaf082bd932f570c2a273d9b794fb23334a1c4e424fce9076150c

Observation 09f43bff-3e4f-4aad-95ce-3127dd2ff1f1 · inbound

Proxy Compression for Language Modeling cites this paper.

Proxy Compression for Language Modeling MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:07:34.339555Z

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=2026-05-16T08:03:01.274736Z digest=sha256:e34dacf731b75600f20ac51bc72958e5db5f4aafaa14c71d82cc1e2a282ae455

Observation a5b37670-bc1b-42e1-9b35-d2fcf54fbf07 · inbound

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models cites this paper.

Scratchpad Patching: Decoupling Compute from Patch Size in Byte-Level Language Models MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:36:29.152842Z

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=2026-05-12T04:05:28.713898Z digest=sha256:c9db35d2c18217615679b4f2af4744f9c27648604cc4f6da9d75a46db2ca5314