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Paper Citation Record · LEDGER

Associative Recurrent Memory Transformer

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:15:54.312377Z

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-14T22:08:14.982302Z digest=sha256:443934fb45112f9310a123dcd89621bbd18d93d6e0a0854fe183d1280e4a9282

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:d7596bef235e19bed1e3d1a6a4210d6feddf886b2c148cfc6d82164950018a19

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T20:49:26.966293Z digest=sha256:828e6128e71d672b83a3237ac19daa7e4b1b47fc536ffa0c9f1b5f75da50a923

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:b813140e46a1df15c7f2c507081aabaf65b1bc70b8558826089b3343bba6d81a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T23:27:49.126341Z digest=sha256:11cb10fb13f7b788b1ba16805ded70919779527bfd183dfaa70db24bbe51a645

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:d0d4ddb03a1635b89b6280d4e8c1b425a1b406098fd8f9dcaaa7d69a4d0f58a7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T10:56:13.058872Z digest=sha256:ff4872e9b2d1ce4425449904c1aa1c55b5c31cf146cfed0f58c94bff6b094cef

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=sha256:9fed1289ff08b8c501523d2e668945f3d0b39302f5a0b42e56202fdbbfc946f3

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=sha256:411964054cb16ad9e4ec73f822b2adcc4a582092ccc89c2d1642af0cb39084cd