Pith. sign in

Paper Citation Record · LEDGER

Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.08801.

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

pith.paper-citation-record.v1
2404.08801 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T23:29:02.457697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 6d2d3949-b278-4456-9897-4b2c998629c3 · inbound

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision cites this paper.

FlashAttention-3: Fast and Accurate Attention with Asynchrony and Low-precision Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:45:36.488402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=pdf_text observed=2026-05-20T19:45:36.337956Z digest=sha256:06d7ed472e8b9eb15291602adbe9637bb4a061f26ad3f63ea4f1359550b1ec26

Observation 9b249aca-03dc-451b-bd9e-f95c98800d91 · inbound

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers cites this paper.

Contribution Weights: A Geometrical Analysis of Self-Attention Transformers Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length

Reference 138

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:32:46.466586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

source=arxiv_source observed=2026-06-28T23:29:02.457697Z digest=sha256:f7b380727e1d745027c358d57890f95f74806362eeaf8c19bae906e13a2e7cf3