Paper Citation Record · LEDGER

Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2503.01868.

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

pith.paper-citation-record.v1
2503.01868 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:02.110682Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:46:31.161003Z

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 f68bc3b7-2d58-4537-b05b-2049462507a3 · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:02.110682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a45b6e6-2076-4106-a871-08beef6aac9b · inbound

Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences cites this paper.

Evaluating DNA function understanding in genomic language models using evolutionarily implausible sequences Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T04:36:20.539070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec345752-9761-472f-9b57-9f0a80de8e03 · inbound

In Search of Lost DNA Sequence Pretraining cites this paper.

In Search of Lost DNA Sequence Pretraining Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:53:03.590468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 991bbd09-2d3e-47df-98c6-f11256a270bc · inbound

Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation cites this paper.

Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:31.257232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc47cc7e-0ac2-41f7-8052-6854f104bda1 · inbound

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions cites this paper.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T09:17:43.968620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84566fb7-414f-4f06-bbdf-6b75fe2f65fa · inbound

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions cites this paper.

Native Multi-Dimensional Subquadratic Operators via Input Dependent Long Convolutions Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T02:08:16.871787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.