Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-20T22:04:15.518405Z
Paper Citation Record · LEDGER
The Routing and Filtering Structure of Attention
As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2605.18826.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-11T01:22:42.362833Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-11T01:27:45.987053Z
Reference resolution
28 of 28 outbound references displayed
- verified exact9
- verified fuzzy16
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 9d61c582-5575-4070-b416-70dd472127d0 · outbound
This paper cites Attention is all you need.
The Routing and Filtering Structure of Attention Attention is all you need
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.926190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b6a66969-09da-4c5d-abe2-55f53d2f5bcd · outbound
This paper cites Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models.
The Routing and Filtering Structure of Attention Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:09:07.685433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fc25026a-2459-4649-b3a8-640968e02361 · outbound
This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.
The Routing and Filtering Structure of Attention Jamba: A Hybrid Transformer-Mamba Language Model
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T22:09:07.725947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e1fae2d7-c4ea-4e00-96f4-2c0b0b29b0dd · outbound
This paper cites Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models.
The Routing and Filtering Structure of Attention Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T22:09:07.720892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 532fb9b7-f140-4b55-9b32-7302f87ea9c1 · outbound
This paper cites Zamba: A Compact 7B SSM Hybrid Model.
The Routing and Filtering Structure of Attention Zamba: A Compact 7B SSM Hybrid Model
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:09:07.715921Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a90d796-e53b-4142-9145-615ed7564584 · outbound
This paper cites RecurrentGemma: Moving Past Transformers for Efficient Open Language Models.
The Routing and Filtering Structure of Attention RecurrentGemma: Moving Past Transformers for Efficient Open Language Models
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T22:09:07.710312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation da269b65-1d00-4fb6-8094-6c471bc5ed03 · outbound
This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.
The Routing and Filtering Structure of Attention Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T22:09:07.704589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 178b9683-0c2c-4e92-8972-11bcd618db49 · outbound
This paper cites Language models are unsupervised multitask learners.
The Routing and Filtering Structure of Attention Language models are unsupervised multitask learners
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.908693Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 51240789-eb95-460f-ae58-514c1054fe1e · outbound
This paper cites BERT: Pre-training of deep bidirectional transformers for language understanding.
The Routing and Filtering Structure of Attention BERT: Pre-training of deep bidirectional transformers for language understanding
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.947219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c4f03c69-2e10-445c-84c8-0559c39513cb · outbound
This paper cites Layer Normalization.
The Routing and Filtering Structure of Attention Layer Normalization
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T22:09:07.700222Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 8a33c44e-7afb-442b-9fe3-fe8fd471ea7c · outbound
This paper cites Interpretable Physics Extraction from Data for Linear Dynamical Systems using Lie Generator Networks.
The Routing and Filtering Structure of Attention Interpretable Physics Extraction from Data for Linear Dynamical Systems using Lie Generator Networks
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:09:07.695917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation cd0f5456-ce79-4103-a863-b283459363db · outbound
This paper cites Lie Generator Networks for Nonlinear Partial Differential Equations.
The Routing and Filtering Structure of Attention Lie Generator Networks for Nonlinear Partial Differential Equations
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:09:07.690700Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 437458a5-2bd4-4903-802e-b6d7b1b807f8 · outbound
This paper cites Gokaslan and V.
The Routing and Filtering Structure of Attention Gokaslan and V
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.944600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4ea1a121-b9e1-4da1-bb35-6358c26c673f · outbound
This paper cites Pointer sentinel mixture models.
The Routing and Filtering Structure of Attention Pointer sentinel mixture models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.942621Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b94d705e-2067-4c09-ba85-e422d35390b2 · outbound
This paper cites FlashAttention: Fast and memory-efficient exact attention with IO-awareness.
The Routing and Filtering Structure of Attention FlashAttention: Fast and memory-efficient exact attention with IO-awareness
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.940132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a022f8de-411f-4729-9ec6-e57944501792 · outbound
This paper cites Transformers are RNNs: Fast autoregressive transformers with linear attention.
The Routing and Filtering Structure of Attention Transformers are RNNs: Fast autoregressive transformers with linear attention
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.935443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dfa321bc-56ab-409a-850b-5483c70dcb02 · outbound
This paper cites Efficiently modeling long sequences with structured state spaces.
The Routing and Filtering Structure of Attention Efficiently modeling long sequences with structured state spaces
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.930440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c514e94e-ff70-446c-935c-042f9e92a9b4 · outbound
This paper cites Gated linear attention transformers with hardware- efficient training.
The Routing and Filtering Structure of Attention Gated linear attention transformers with hardware- efficient training
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.928209Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 76ecafe3-7333-4a8b-bb2f-34481a235b2e · outbound
This paper cites Rethinking attention with Performers.
The Routing and Filtering Structure of Attention Rethinking attention with Performers
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.924218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3b6b1093-9b9b-432e-810f-1b4bc2800616 · outbound
This paper cites RWKV: Reinventing RNNs for the transformer era.
The Routing and Filtering Structure of Attention RWKV: Reinventing RNNs for the transformer era
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.910915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4a4c6822-a450-4988-9ef5-4af66e15c6a2 · outbound
This paper cites Retentive Network: A Successor to Transformer for Large Language Models.
The Routing and Filtering Structure of Attention Retentive Network: A Successor to Transformer for Large Language Models
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-05-20T22:09:07.730795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 59075ebd-ad7b-42c6-8658-b2724bc619d7 · outbound
This paper cites Pythia: A suite for analyzing large language models across training and scaling.
The Routing and Filtering Structure of Attention Pythia: A suite for analyzing large language models across training and scaling
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.921982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a601efdc-1474-46ad-91cc-f3cac4008274 · outbound
This paper cites The cat sat on the mat and then it slowly walked to the door.
The Routing and Filtering Structure of Attention The cat sat on the mat and then it slowly walked to the door
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.932961Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b0004037-9212-4cc2-915d-c82b3bf6a1bc · outbound
This paper cites an unresolved cited work.
The Routing and Filtering Structure of Attention Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T22:14:06.920037Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation fd9a283c-ef14-4984-8bd8-372ea954407d · outbound
This paper cites an unresolved cited work.
The Routing and Filtering Structure of Attention Unresolved cited work
Reference 25
- Resolution
- unresolved
- raw_fallback, observed 2026-05-20T22:14:06.917473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 91b37d2c-9255-4e83-a151-310fa761f2b5 · outbound
This paper cites She told him that the book he had lent her, which she had finally finished reading over the weekend, was one of the most thought-provoking novels she had encountered in years.
The Routing and Filtering Structure of Attention She told him that the book he had lent her, which she had finally finished reading over the weekend, was one of the most thought-provoking novels she had encountered in years
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.915495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 55e020c0-9dc5-4f24-8711-59200bd6e616 · outbound
This paper cites The quick brown fox jumps over the lazy dog.
The Routing and Filtering Structure of Attention The quick brown fox jumps over the lazy dog
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.913006Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 5afafbb1-17e1-4d0f-b379-ea73292d91ef · outbound
This paper cites Token counts reflect GPT-2 BPE tokenization.
The Routing and Filtering Structure of Attention Token counts reflect GPT-2 BPE tokenization
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-20T22:14:06.937973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
Observation 9cb175b6-b972-4743-97ea-589654c9ea5a · inbound
Fingerprint, Not Blueprint: How Positional Schemes Set the Default Spectral Algebra of Attention cites this paper.
Fingerprint, Not Blueprint: How Positional Schemes Set the Default Spectral Algebra of Attention The Routing and Filtering Structure of Attention
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-07-11T01:27:46.012609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.