Paper Citation Record · LEDGER

MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:59:25.481718Z

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 876b4ea9-2a32-4fdf-b65a-26a5958ca3f3 · inbound

Scaling Particle Collision Data Analysis cites this paper.

Scaling Particle Collision Data Analysis MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T10:34:25.093269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe5946b5-a58e-4d93-8cc2-6d28d41dd271 · inbound

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

Synergy: End-to-end Concept Model MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T16:45:35.749317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c98384-9b4d-475c-b113-1333c85bd11e · inbound

SpeLLM: Character-Level Multi-Head Decoding cites this paper.

SpeLLM: Character-Level Multi-Head Decoding MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:19:16.940215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65337461-5d63-4e10-b756-0c38205a0dbe · inbound

Modality Agnostic Efficient Long Range Encoder cites this paper.

Modality Agnostic Efficient Long Range Encoder MEGABYTE: Predicting Million-byte Sequences with Multiscale Transformers

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T17:59:25.481718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-17T06:30:58.91139+00:00.

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 2026-08-17T06:30:58.91139+00:00.

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.