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Paper Citation Record · LEDGER

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.07185.

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

pith.paper-citation-record.v1
2305.07185 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T05:09:55.974479Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T23:56:24.011336Z

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 ec119a11-0052-4d8d-9462-49b8e9f18285 · inbound

Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models cites this paper.

Kronecker Embeddings: Byte-Level Structured Token Representations for Parameter-Efficient Language Models MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:13.412916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T07:50:25.019889Z digest=sha256:b781d62b3d1084de3809854ce5141512b9aa5a2a23883e4f128cbe2bf0b629d2

Observation 9321d14e-024c-4e3c-8f74-caec8aba6b63 · inbound

Large Byte Model: Teaching Language Models About Compiled Code cites this paper.

Large Byte Model: Teaching Language Models About Compiled Code MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-01T23:56:24.013068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-28T13:47:15.984105Z digest=sha256:1578952050964562aed94dd28760d620b68f096b6e335433cd16a4b70227bf40

Observation 88ffc778-30f8-497c-b9b9-12c6a14425af · inbound

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization cites this paper.

Cross-Tokenizer On-Policy Distillation via Byte-Prefix Marginalization MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T05:09:55.974479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:09:55.974479Z digest=sha256:961f3785d1dfdd6cf8c3cab9f62a9aff622a6394b5c0a9b2bf774e3c6cd95dcc