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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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:45f96a316dca8a98ff16785296ee64cd0e4d3ebfbeb4e2b27f765d94cd449465

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-10T04:45:43.948266Z digest=sha256:be6b188a6dde46aff7ac6385214d68cf78f8073c0534bf87249fa088787bb563

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-09T22:03:35.260373Z digest=sha256:7f4e2ca153df209f560abe22d9ab19f921a71732c620a8d3bd05046974583d3b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T19:36:13.559393Z digest=sha256:44ffc51e341f811195e3995cfea495a335b3b3bb88992ac15809333bd862c88d

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T02:09:01.018909Z digest=sha256:dbc6afb2dcbc312f8dbc21a97fdd736a8abe49e3fce0f06825b4e5a57e0b89d0

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