Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Finetuning Pretrained Transformers into RNNs
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2103.13076.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T12:20:55.664977Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:26:56.591321Z
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 e6dcbff5-3c20-484e-b28c-06119112cac0 · inbound
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads cites this paper.
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads Finetuning Pretrained Transformers into RNNs
Reference 242
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T10:36:18.328367Z
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.
Observation db9ec858-602d-451c-9fa5-9eeb85bb7ab9 · inbound
Massive Activations in Large Language Models cites this paper.
Massive Activations in Large Language Models Finetuning Pretrained Transformers into RNNs
Reference 46
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-16T07:02:53.871604Z
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.
Observation 454486f0-dc62-4530-a308-9fe3979295f9 · inbound
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation cites this paper.
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation Finetuning Pretrained Transformers into RNNs
Reference 20
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T18:33:19.364814Z
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.
Observation 8517a5f9-d8ad-4990-b8a4-2f1e35d51633 · inbound
Attention to Mamba: A Recipe for Cross-Architecture Distillation cites this paper.
Attention to Mamba: A Recipe for Cross-Architecture Distillation Finetuning Pretrained Transformers into RNNs
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T23:08:24.886705Z
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.
Observation 019b1c12-c5d0-4474-a37b-7e61c76e7884 · inbound
Pretraining Recurrent Networks without Recurrence cites this paper.
Pretraining Recurrent Networks without Recurrence Finetuning Pretrained Transformers into RNNs
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:26:56.593090Z
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.
Observation e7296f9d-cba8-4904-9007-bb33cc31e46a · inbound
Pretraining Recurrent Networks without Recurrence cites this paper.
Pretraining Recurrent Networks without Recurrence Finetuning Pretrained Transformers into RNNs
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:20:55.664977Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.