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Paper Citation Record · LEDGER

Addressing Some Limitations of Transformers with Feedback Memory

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2002.09402.

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

pith.paper-citation-record.v1
2002.09402 v3

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 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:01:30.621873Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

31
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c0c77734-1a1c-4e55-be5c-ad7b434d6e72 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Addressing Some Limitations of Transformers with Feedback Memory

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-12T15:39:41.151438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:895cbef5599fa5f120beed57cc3a23d08b1764de0d05d0d14986af3cac5ac6b9

Observation 3893c571-7756-419b-a713-d39188771d29 · inbound

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations cites this paper.

ContextQFormer: A New Context Modeling Method for Multi-Turn Multi-Modal Conversations Addressing Some Limitations of Transformers with Feedback Memory

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:56:44.790395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:56:44.790395Z digest=sha256:c6e0fe83aa5459d1dce6db1cdfe879a6ef50acd127117ea20a946fee9b4e4130

Observation 969bdb83-dbdb-4a88-a9b6-ce72814d594c · inbound

Sessa: Selective State Space Attention cites this paper.

Sessa: Selective State Space Attention Addressing Some Limitations of Transformers with Feedback Memory

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-10T04:50:23.016501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T04:45:43.948266Z digest=sha256:cc959f92a16bfeb830045c412e0ea70fbe554ebb24d2e05782c2a50aca58cba3

Observation a4913417-eabc-404d-b76f-d920faa57039 · inbound

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding cites this paper.

The Recurrent Transformer: Greater Effective Depth and Efficient Decoding Addressing Some Limitations of Transformers with Feedback Memory

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:21:04.633928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-09T22:03:35.260373Z digest=sha256:78903f032ad6b4d72e7cd141b3534564c2db7d95be0afcf018aab7eeae318e33

Observation 99c4b0bc-06bf-42fb-8651-5f97cf7b9336 · inbound

Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior cites this paper.

Latent Recurrent Transformer: Architecture Exploration, Training Strategies, and Scaling Behavior Addressing Some Limitations of Transformers with Feedback Memory

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:43:54.933744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-29T19:36:13.559393Z digest=sha256:845ebe6100634c217a5ce0dcaf42170e49fa8ec971bacbf97dc80e36c85c6837

Observation aa46f9a3-61f5-4665-9571-c703316f2796 · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence Addressing Some Limitations of Transformers with Feedback Memory

Reference 29

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:26:56.659109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T02:09:01.018909Z digest=sha256:9806a9e8f1a5f04f27df8ca92530680f80c1419e4667aab7daa4d620ce4e7aac

Observation 537b1618-cd4d-4042-ac1d-3c99d3d19f31 · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence Addressing Some Limitations of Transformers with Feedback Memory

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T12:20:55.459963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:20:55.459963Z digest=sha256:09625e6f578a934a4bd580233a539171333dbee4576079eddeaa3eb580aa3b3b

Observation 36103b3e-0959-4946-aa7f-37bfa524a16e · inbound

Maglev: Sliding Recurrent Memory cites this paper.

Maglev: Sliding Recurrent Memory Addressing Some Limitations of Transformers with Feedback Memory

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-15T15:01:30.621873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:01:30.621873Z digest=sha256:35b8927e099ba90914db7e8fb57219388328effb17dcab251bffde211fd229f5

Observation 7f85b002-bd9d-489f-abf9-c4833fef4a1c · inbound

Full-bandwidth transformer cites this paper.

Full-bandwidth transformer Addressing Some Limitations of Transformers with Feedback Memory

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T04:27:56.487651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:27:56.487651Z digest=sha256:5e57de13ce89b7ca3093a9b271169b31778e680c6efa42c5cc8d8c2e547e44ff