Paper Citation Record · LEDGER

Transformers are Multi-State RNNs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2401.06104.

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

pith.paper-citation-record.v1
2401.06104 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:46:11.411181Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eb1af497-7763-481c-b9cc-695444dde576 · inbound

Gated Linear Attention Transformers with Hardware-Efficient Training cites this paper.

Gated Linear Attention Transformers with Hardware-Efficient Training Transformers are Multi-State RNNs

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:15:14.156799Z

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 7b21014a-8b4f-447a-a90c-9c9e34f39312 · inbound

Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference cites this paper.

Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference Transformers are Multi-State RNNs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-15T14:12:20.906064Z

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 92e6b6c2-8183-4301-8eab-e3804da67195 · inbound

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU cites this paper.

InfiniteHiP: Extending Language Model Context Up to 3 Million Tokens on a Single GPU Transformers are Multi-State RNNs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T23:19:37.902581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00232cfb-b8d0-4ffd-92b7-ac3239210597 · inbound

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification cites this paper.

Unveiling Simplicities of Attention: Adaptive Long-Context Head Identification Transformers are Multi-State RNNs

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-08T13:46:11.411181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8187306-dc17-460f-b73e-463d1aec41f5 · inbound

MoBA: Mixture of Block Attention for Long-Context LLMs cites this paper.

MoBA: Mixture of Block Attention for Long-Context LLMs Transformers are Multi-State RNNs

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:15:46.269719Z

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 c33b358f-77c5-4223-bb69-6eaff1831127 · inbound

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression cites this paper.

Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache Compression Transformers are Multi-State RNNs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:17.009571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acd58307-ba1d-475d-989c-cde40fe46f23 · inbound

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models cites this paper.

Dynamic Chunking and Selection for Reading Comprehension of Ultra-Long Context in Large Language Models Transformers are Multi-State RNNs

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T12:03:42.533672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0e8cf90-f4e9-4d22-b575-2d56dd548708 · inbound

AhaKV: Adaptive Holistic Attention-Driven KV Cache Eviction for Efficient Inference of Large Language Models cites this paper.

AhaKV: Adaptive Holistic Attention-Driven KV Cache Eviction for Efficient Inference of Large Language Models Transformers are Multi-State RNNs

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:02:05.812475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4e08f49-c96b-4585-bffa-050c6b1f3ab3 · inbound

Cartridges: Lightweight and general-purpose long context representations via self-study cites this paper.

Cartridges: Lightweight and general-purpose long context representations via self-study Transformers are Multi-State RNNs

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:33.321894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68a3ec76-a728-43d3-a209-688f3381f75f · inbound

Think Clearly: Improving Reasoning via Redundant Token Pruning cites this paper.

Think Clearly: Improving Reasoning via Redundant Token Pruning Transformers are Multi-State RNNs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:18.564246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99117483-cd98-46ce-bc6c-8348b4157fd5 · inbound

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models cites this paper.

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models Transformers are Multi-State RNNs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T17:33:20.696069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a51bea7-5360-48d8-995f-7b83e8aec3b8 · inbound

TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference cites this paper.

TPLA: Tensor Parallel Latent Attention for Efficient Disaggregated Prefill and Decode Inference Transformers are Multi-State RNNs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T17:55:06.525852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc49c771-0dae-4a86-a69e-05b535178225 · inbound

The Pitfalls of KV Cache Compression cites this paper.

The Pitfalls of KV Cache Compression Transformers are Multi-State RNNs

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T11:32:35.105944Z

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 0da759d6-e3a3-47f4-8bed-dee80839d12a · inbound

OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference cites this paper.

OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference Transformers are Multi-State RNNs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T10:57:43.739935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbbe9cf3-856f-4f15-ae92-43e88bceab4c · inbound

DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context Reasoning cites this paper.

DELTA: Dynamic Layer-Aware Token Attention for Efficient Long-Context Reasoning Transformers are Multi-State RNNs

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T07:26:02.911734Z

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 5ebeb06c-dd57-482e-9dd1-c700f1f3d813 · inbound

Learning to Evict from Key-Value Cache cites this paper.

Learning to Evict from Key-Value Cache Transformers are Multi-State RNNs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T01:18:04.039897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 493ee67c-1b0b-4b32-bb7b-885bdd991d67 · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference Transformers are Multi-State RNNs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:00:17.921407Z

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 ae59597a-eb62-4a02-b206-5c0b9a19dbd7 · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference Transformers are Multi-State RNNs

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:50:09.524907Z

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 1a5cab8b-0878-4fba-aa6d-38b027148999 · inbound

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference cites this paper.

RAT+: Train Dense, Infer Sparse -- Recurrence Augmented Attention for Dilated Inference Transformers are Multi-State RNNs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T22:05:43.031477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc1e841-1654-4da3-bcbf-63cb8c3123b6 · inbound

Stem: Rethinking Causal Information Flow in Sparse Attention cites this paper.

Stem: Rethinking Causal Information Flow in Sparse Attention Transformers are Multi-State RNNs

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T02:39:29.428722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74978e6a-de28-433d-a557-e81d6837965f · inbound

Transactional Attention: Semantic Sponsorship for KV-Cache Retention cites this paper.

Transactional Attention: Semantic Sponsorship for KV-Cache Retention Transformers are Multi-State RNNs

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:10:30.674922Z

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 68e5b953-cc61-4190-9508-23742921cc3e · inbound

AQPIM: Breaking the PIM Capacity Wall for LLMs with In-Memory Activation Quantization cites this paper.

AQPIM: Breaking the PIM Capacity Wall for LLMs with In-Memory Activation Quantization Transformers are Multi-State RNNs

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.533339Z

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 7d39eab4-515e-473e-84d7-78f822fabc8f · inbound

Long Context Pre-Training with Lighthouse Attention cites this paper.

Long Context Pre-Training with Lighthouse Attention Transformers are Multi-State RNNs

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T20:11:09.305982Z

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 3c6a7848-cc99-4c76-a756-5e0081d6b7d6 · inbound

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing cites this paper.

ReST-KV: Robust KV Cache Eviction with Layer-wise Output Reconstruction and Spatial-Temporal Smoothing Transformers are Multi-State RNNs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:26:30.124036Z

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 adbe79b1-3ddb-4618-b1fa-2d23c66e2ec8 · inbound

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference cites this paper.

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference Transformers are Multi-State RNNs

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T22:03:59.894407Z

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 716d21de-9384-4131-aa96-0b597c708455 · inbound

HACK++: Towards More Effective Head-Aware Key-Value Compression for Efficient Visual Autoregressive Modeling cites this paper.

HACK++: Towards More Effective Head-Aware Key-Value Compression for Efficient Visual Autoregressive Modeling Transformers are Multi-State RNNs

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:27:24.380935Z

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 075db97b-afd7-43b0-ba76-71eb3d78ff6e · inbound

Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding cites this paper.

Dustin: Draft-Augmented Sparse Verification for Efficient Long-Context Generation with Speculative Decoding Transformers are Multi-State RNNs

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T16:49:58.011184Z

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 e953ea22-6f25-489a-86e2-59e1f78e8454 · inbound

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents cites this paper.

What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents Transformers are Multi-State RNNs

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-07-10T01:36:44.005016Z

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 ea27f054-3853-440c-a141-84780c5d90fd · inbound

MemDecay: Region-Aware KV Cache Eviction for Efficient LLM Agent Inference cites this paper.

MemDecay: Region-Aware KV Cache Eviction for Efficient LLM Agent Inference Transformers are Multi-State RNNs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-14T10:41:08.967261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b2fe512-ee50-4301-acee-4e5e2a4cda4e · inbound

Error Certificates for KV-Cache Eviction via Randomized Design cites this paper.

Error Certificates for KV-Cache Eviction via Randomized Design Transformers are Multi-State RNNs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T07:23:39.162227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c45e05-256e-4f45-aed1-31751a9dd61c · inbound

Training-Free Hashing-Based Attention via Binary Principal Components cites this paper.

Training-Free Hashing-Based Attention via Binary Principal Components Transformers are Multi-State RNNs

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T00:45:48.501586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.