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Paper Citation Record · LEDGER

Associative Recurrent Memory Transformer

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2407.04841.

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

pith.paper-citation-record.v1
2407.04841 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:00:45.770973Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:26:26.812515Z

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 b4155b73-60cd-4ad3-a912-7320c8b62e87 · inbound

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

Titans: Learning to Memorize at Test Time Associative Recurrent Memory Transformer

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-14T22:08:15.396819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T22:08:14.982302Z digest=sha256:3edb1c1df4490cdd25b5aa86b22a55461e233d5a0ec6ea04b32b63cf12c4bb6f

Observation 74be2733-a4b8-470b-9f6b-7cc82188614d · inbound

LM2: Large Memory Models cites this paper.

LM2: Large Memory Models Associative Recurrent Memory Transformer

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T17:00:45.770973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T17:00:45.770973Z digest=sha256:63b00b95746ef9a89066981b220e8e62bb7e0082c8d87085340d41ecd794a237

Observation 13fd3ee2-29fc-445a-b41e-25b5f59c1d9e · inbound

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures cites this paper.

Memory-Augmented Transformers: A Systematic Review from Neuroscience Principles to Enhanced Model Architectures Associative Recurrent Memory Transformer

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-05T20:15:54.312377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:15:54.312377Z digest=sha256:9ae4ada7a4fa0b56bb0875ac99898dd49b8ec2ddf0b9bedbf39e6c310f00bdc0

Observation f63351de-1b53-4019-a6da-a07ae012d26d · inbound

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling cites this paper.

Beyond Memorization: Extending Reasoning Depth with Recurrence, Memory and Test-Time Compute Scaling Associative Recurrent Memory Transformer

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-18T20:51:50.779036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T20:49:26.966293Z digest=sha256:21b69858156df5fc9e008bf45028c88377c8c5a8d0fb111d8a31b84235b767cb

Observation 4b34d851-4526-459b-a8bc-e246ae89bbe8 · inbound

Re:Frame -- Retrieving Experience From Associative Memory cites this paper.

Re:Frame -- Retrieving Experience From Associative Memory Associative Recurrent Memory Transformer

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:46.800455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:46.800455Z digest=sha256:dde5cee24491bc8fa8c95f0e48a45a235fab0015d5b7c1f267027c0759d061a8

Observation b844f2d0-1ec1-488b-be7b-8d641fb5c1c4 · inbound

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training cites this paper.

Q-RAG: Long Context Multi-step Retrieval via Value-based Embedder Training Associative Recurrent Memory Transformer

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:30:29.357940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T23:27:49.126341Z digest=sha256:3a0b640325b2b727962b4c07d338cd12f9584fd8a7e9a1a21274c62c8226b2d9

Observation fb7824f4-41d0-4d88-866a-39cd7b84ca47 · inbound

SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation cites this paper.

SeedPolicy: Horizon Scaling via Self-Evolving Diffusion Policy for Robot Manipulation Associative Recurrent Memory Transformer

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-02T18:47:52.169075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:47:52.169075Z digest=sha256:92c2e42dcfced1171bcc11fb80a37bba960b7d84e6f5d2451adcb4c94416e70b

Observation b875d4b2-6eff-4c96-afd4-46248ccc55ab · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Associative Recurrent Memory Transformer

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:26:26.814378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:ce3686b4e70d89dc8f58bf81c85e72c91c75a0809c0ce7bad3a6661241efcc02

Observation 56e43314-8eb2-4a2e-b970-8ae5ff403302 · inbound

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories cites this paper.

Language Models Need Sleep: Learning to Self-Modify and Consolidate Memories Associative Recurrent Memory Transformer

Reference 87

Resolution
unresolved
no resolver link, observed 2026-07-13T07:44:25.325808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T07:44:25.325808Z digest=sha256:bda04316475d3c9a50c694cfa59fd304bbd86032eab69ff83ca95630267a1a3e

Observation 5319cf97-f112-4f64-8528-16a1bbcb9e9a · inbound

Extending LLM Context via Associative Recurrent Memory cites this paper.

Extending LLM Context via Associative Recurrent Memory Associative Recurrent Memory Transformer

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-14T04:23:21.000846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T04:23:21.000846Z digest=sha256:baf2b859b090bcc0dd343b7d05616a665cffddf22f577fad6700dfb29f71f62c