Paper Citation Record · LEDGER

Scaling Transformer to 1M tokens and beyond with RMT

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2304.11062.

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

pith.paper-citation-record.v1
2304.11062 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T18:32:03.863224Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T17:42:25.966370Z

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 00b41bfd-684b-466a-a165-cbaa6bfddd65 · inbound

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding cites this paper.

LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding Scaling Transformer to 1M tokens and beyond with RMT

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-12T20:22:10.684872Z

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 4df51d89-88e3-4e02-9fab-abc1cba32f41 · inbound

Language Modeling Is Compression cites this paper.

Language Modeling Is Compression Scaling Transformer to 1M tokens and beyond with RMT

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:36:13.465426Z

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 a2434118-77ee-4d3c-821c-d9873c6315df · inbound

Mamba: Linear-Time Sequence Modeling with Selective State Spaces cites this paper.

Mamba: Linear-Time Sequence Modeling with Selective State Spaces Scaling Transformer to 1M tokens and beyond with RMT

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:53:06.625521Z

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 4952204a-48e1-4565-b871-b3998a2ead14 · inbound

RULER: What's the Real Context Size of Your Long-Context Language Models? cites this paper.

RULER: What's the Real Context Size of Your Long-Context Language Models? Scaling Transformer to 1M tokens and beyond with RMT

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:55:20.480965Z

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 3f42f879-9407-4507-a0e4-014c3f5b6a66 · inbound

Titans: Learning to Memorize at Test Time cites this paper.

Titans: Learning to Memorize at Test Time Scaling Transformer to 1M tokens and beyond with RMT

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:15.256649Z

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 bfc8af83-5c8e-4bfe-8fe3-18baa59785d5 · inbound

M+: Extending MemoryLLM with Scalable Long-Term Memory cites this paper.

M+: Extending MemoryLLM with Scalable Long-Term Memory Scaling Transformer to 1M tokens and beyond with RMT

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T18:32:03.863224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ddd33a6b-8d60-44c0-92be-2c1a2ba7c93d · inbound

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer cites this paper.

Zero-shot Meta-learning for Tabular Prediction Tasks with Adversarially Pre-trained Transformer Scaling Transformer to 1M tokens and beyond with RMT

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T22:21:07.797144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05f51207-8fb8-4987-ad90-6c51c653e708 · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Scaling Transformer to 1M tokens and beyond with RMT

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T11:17:24.454691Z

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 7363cb93-8f8d-4753-bec9-fa025fd4da4b · inbound

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent cites this paper.

MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-based Memory Agent Scaling Transformer to 1M tokens and beyond with RMT

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-06T20:40:12.411155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a192912-edb9-4595-bd27-737fbdc12e45 · inbound

RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies cites this paper.

RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies Scaling Transformer to 1M tokens and beyond with RMT

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:30:07.811114Z

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 5c773ac9-c1c9-4fa4-8789-f6fef9995af2 · inbound

RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies cites this paper.

RoboMME: Benchmarking and Understanding Memory for Robotic Generalist Policies Scaling Transformer to 1M tokens and beyond with RMT

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-15T15:08:31.217309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bbb8b8e-2783-4340-bb0b-31b0cdfd7e5d · 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 Scaling Transformer to 1M tokens and beyond with RMT

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:06:04.557240Z

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 eeb9014b-e857-47ec-af54-340a1f8093f3 · inbound

Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue cites this paper.

Connecting the Dots: Benchmarking Reflective Memory in Long-Horizon Dialogue Scaling Transformer to 1M tokens and beyond with RMT

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T17:42:25.968638Z

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.