Paper Citation Record · LEDGER

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer

As of 11 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2501.15570.

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

pith.paper-citation-record.v1
2501.15570 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:12:09.330745Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy1
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd45bb74-2fdf-41ca-9b0c-e68ed34e2115 · outbound

This paper cites Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.274935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cf72c39-56e3-4580-92ce-4b5fb40f27dd · outbound

This paper cites Hymba: A Hybrid-head Architecture for Small Language Models.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Hymba: A Hybrid-head Architecture for Small Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.285754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18d5dccf-1765-4ed5-81de-87a540fed9b1 · outbound

This paper cites Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Unlocking State-Tracking in Linear RNNs Through Negative Eigenvalues

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.290924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78e15a5c-d049-4bb8-9e1a-f3d13f650b40 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.295989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24283ca9-3110-4d8f-8cd4-f7c4a5bee0f7 · outbound

This paper cites Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.305901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7266d44-4367-4cd9-a15a-43d57ceda7f9 · outbound

This paper cites Does Representation Matter? Exploring Intermediate Layers in Large Language Models.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Does Representation Matter? Exploring Intermediate Layers in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.311351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9e7356a-b58e-43ec-9070-b21da643d96d · outbound

This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.316087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfdf35f7-d924-4c10-923a-abf2a84ecc06 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer A Survey on Knowledge Distillation of Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.321052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b88f967-2e68-46ea-b850-3de81b0e9cfd · outbound

This paper cites an unresolved cited work.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T14:12:09.524148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7d0bac67-8be8-45dc-b788-465f0ac245b9 · outbound

This paper cites The Illusion of State in State-Space Models.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer The Illusion of State in State-Space Models

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.300831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe699a78-8f89-4648-b91c-69a777607587 · outbound

This paper cites Parallelizing Linear Transformers with the Delta Rule over Sequence Length.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Parallelizing Linear Transformers with the Delta Rule over Sequence Length

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-10T14:12:09.325861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78a674c9-4d27-41dd-8a16-d7a1c867bfe3 · outbound

This paper cites Castin, P.

ARWKV: Pretrain is not what we need, an RNN-Attention-Based Language Model Born from Transformer Castin, P

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:12:09.539210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.