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Paper Citation Record · LEDGER

Compact Recurrent Transformer with Persistent Memory

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.00929.

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

pith.paper-citation-record.v1
2505.00929 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:37:37.866614Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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  • verified fuzzy23
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c6d7c577-1df7-445c-a746-2c507efd525d · outbound

This paper cites GPT-4 Technical Report.

Compact Recurrent Transformer with Persistent Memory GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 81e97b5f-8173-4a13-8788-658ac7da6022 · outbound

This paper cites A neural probabilistic language model.

Compact Recurrent Transformer with Persistent Memory A neural probabilistic language model

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 81bea73b-1759-45d5-9da9-2c288f1cad24 · outbound

This paper cites Is space-time attention all you need for video understanding? In ICML, page 4, 2021.

Compact Recurrent Transformer with Persistent Memory Is space-time attention all you need for video understanding? In ICML, page 4, 2021

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f57ba19a-dfd3-46ad-85b4-9495ba0574fa · outbound

This paper cites Recur- rent memory transformer.

Compact Recurrent Transformer with Persistent Memory Recur- rent memory transformer

Reference 4

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation bce8443b-d492-483b-bd9f-30726f9173dd · outbound

This paper cites Memory Transformer.

Compact Recurrent Transformer with Persistent Memory Memory Transformer

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 79de16fc-7e94-4ef2-a39e-b35532c20b4a · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Compact Recurrent Transformer with Persistent Memory Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 6

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no resolver link, observed 2026-08-16T04:37:37.712887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c70c22a6-447b-4c32-94e0-c3b91b20e01e · outbound

This paper cites Palm: Scaling language modeling with pathways.

Compact Recurrent Transformer with Persistent Memory Palm: Scaling language modeling with pathways

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation f3a60ef5-f204-488b-96f9-eb4d8fe47299 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

Compact Recurrent Transformer with Persistent Memory Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 8

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no resolver link, observed 2026-08-16T04:37:37.725286Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 86eeaa6b-8210-4e3b-becd-fbf92fd8b1d9 · outbound

This paper cites Toyota smarthome: Real-world activities of daily living.

Compact Recurrent Transformer with Persistent Memory Toyota smarthome: Real-world activities of daily living

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation e189047d-8baf-4972-8673-7b9c4730f5be · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Compact Recurrent Transformer with Persistent Memory BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 10

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unresolved
no resolver link, observed 2026-08-16T04:37:37.735641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5e6fd6b6-51b2-4ceb-a845-6551d63f9ad7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Compact Recurrent Transformer with Persistent Memory An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation efc0fb7b-95e6-4088-9b8b-6e4131d0d936 · outbound

This paper cites A theoretically grounded application of dropout in recurrent neural networks.

Compact Recurrent Transformer with Persistent Memory A theoretically grounded application of dropout in recurrent neural networks

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 71d7dc72-5eb1-4311-adf1-dace1d38bc93 · outbound

This paper cites Efficient softmax approximation for GPUs.

Compact Recurrent Transformer with Persistent Memory Efficient softmax approximation for GPUs

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation a33cef38-2e20-4cd2-8656-b698d53864ff · outbound

This paper cites Eigenvalue normalized recur- rent neural networks for short term memory.

Compact Recurrent Transformer with Persistent Memory Eigenvalue normalized recur- rent neural networks for short term memory

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation de195bcd-715c-4e47-9645-fbccd75211be · outbound

This paper cites Orthogo- nal recurrent neural networks with scaled cayley transform.

Compact Recurrent Transformer with Persistent Memory Orthogo- nal recurrent neural networks with scaled cayley transform

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation dc65799f-13b0-41ca-84e4-25014fcd9110 · outbound

This paper cites Long short-term memory.

Compact Recurrent Transformer with Persistent Memory Long short-term memory

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation fea36498-0254-49c3-aeb8-e527106d84ef · outbound

This paper cites Neural networks and physical systems with emergent collective computational abilities.

Compact Recurrent Transformer with Persistent Memory Neural networks and physical systems with emergent collective computational abilities

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5c8c8455-b761-4d10-bca7-432e9a261d85 · outbound

This paper cites Block-recurrent transformers.

Compact Recurrent Transformer with Persistent Memory Block-recurrent transformers

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d566c541-0d5a-438a-bb61-822d4bbff6cb · outbound

This paper cites Perceiver IO: A General Architecture for Structured Inputs & Outputs.

Compact Recurrent Transformer with Persistent Memory Perceiver IO: A General Architecture for Structured Inputs & Outputs

Reference 19

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation becfab31-65f5-48a8-b2c9-e53f9e96c841 · outbound

This paper cites Gated orthog- onal recurrent units: On learning to forget.

Compact Recurrent Transformer with Persistent Memory Gated orthog- onal recurrent units: On learning to forget

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a54810b4-58ac-4266-90df-68255081b1ec · outbound

This paper cites Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group.

Compact Recurrent Transformer with Persistent Memory Cheap orthogonal constraints in neural networks: A simple parametrization of the orthogonal and unitary group

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 67b58d7b-73f1-4f1c-b487-275bdf33748d · outbound

This paper cites Complex unitary recurrent neural networks using scaled cayley transform.

Compact Recurrent Transformer with Persistent Memory Complex unitary recurrent neural networks using scaled cayley transform

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 833e22c9-ee60-42e6-9ffb-b442871a7610 · outbound

This paper cites Building a large annotated corpus of english: The penn treebank.

Compact Recurrent Transformer with Persistent Memory Building a large annotated corpus of english: The penn treebank

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ba501b30-2e94-443e-81ef-259b022db71f · outbound

This paper cites Pointer Sentinel Mixture Models.

Compact Recurrent Transformer with Persistent Memory Pointer Sentinel Mixture Models

Reference 24

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41dd4914-2ef7-42c6-b529-b3d9a8ac9634 · outbound

This paper cites Hellicar, Ashfaqur Rahman, and James Bailey.

Compact Recurrent Transformer with Persistent Memory Hellicar, Ashfaqur Rahman, and James Bailey

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 15d64f17-8775-447a-8a12-f9c5790fab25 · outbound

This paper cites Recurrent neural network based language model.

Compact Recurrent Transformer with Persistent Memory Recurrent neural network based language model

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5e76e901-709c-4ae0-b1cc-501e9f12b529 · outbound

This paper cites Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation.

Compact Recurrent Transformer with Persistent Memory Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation ff1e0e41-b46d-4e9e-a633-6fd51abcbb7c · outbound

This paper cites Improving language understanding by gen- erative pre-training.

Compact Recurrent Transformer with Persistent Memory Improving language understanding by gen- erative pre-training

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 4528334c-9fff-4bb3-8f56-4cea9d48a122 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Compact Recurrent Transformer with Persistent Memory Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 29

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 90793bec-067f-431d-8728-1b2ef0ee7468 · outbound

This paper cites Just add?! pose induced video transformers for understanding activities of daily liv- ing.

Compact Recurrent Transformer with Persistent Memory Just add?! pose induced video transformers for understanding activities of daily liv- ing

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:37:38.207544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation d332eb6b-50c3-4795-8ffa-ce29d6c33339 · outbound

This paper cites Learning internal representations by error propagation,.

Compact Recurrent Transformer with Persistent Memory Learning internal representations by error propagation,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 728ca5bf-0c68-4ab7-9047-ad0bae88d03d · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

Compact Recurrent Transformer with Persistent Memory LaMDA: Language Models for Dialog Applications

Reference 32

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d162f896-872f-46c6-bb28-f296429daeb4 · outbound

This paper cites Attention is all you need.

Compact Recurrent Transformer with Persistent Memory Attention is all you need

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:37:38.173480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 79834780-cbc7-4db3-ae49-f830593c22ca · outbound

This paper cites R-Transformer: Recurrent Neural Network Enhanced Transformer.

Compact Recurrent Transformer with Persistent Memory R-Transformer: Recurrent Neural Network Enhanced Transformer

Reference 34

Resolution
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no resolver link, observed 2026-08-16T04:37:37.857059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:37.857059Z digest=sha256:d6a80c60bd8c7e6222c472e3e108aaf98d6302afed4dd4195c7fd72cbb00f2d3

Observation 2fcbe037-7abe-40d7-acfb-af6090c3adf2 · outbound

This paper cites Full-capacity unitary recurrent neu- ral networks.

Compact Recurrent Transformer with Persistent Memory Full-capacity unitary recurrent neu- ral networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:37:38.156229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 3ba706a9-90f9-439e-b17e-32cda2ca3f55 · outbound

This paper cites Memformer: The memory-augmented transformer.

Compact Recurrent Transformer with Persistent Memory Memformer: The memory-augmented transformer

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:37:38.138088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Pith citing papers

No inbound Pith citation observations are available.