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Paper Citation Record · LEDGER

Block-Recurrent Transformers

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2203.07852.

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

pith.paper-citation-record.v1
2203.07852 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:07:54.831688Z

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

28
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 68e668c7-e742-40bc-b1f2-6369c30a19c3 · inbound

Massive Activations in Large Language Models cites this paper.

Massive Activations in Large Language Models Block-Recurrent Transformers

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-16T07:02:53.868612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-16T07:02:53.740597Z digest=sha256:2a3b31ad6cf55c850b86b0fd2825275c5589ee6d1569a23d09122b04e56c2bcd

Observation 10fb57b7-ceee-4260-ba51-c6762f382a86 · inbound

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel cites this paper.

StagFormer: Time Staggering Transformer Decoding for RunningLayers In Parallel Block-Recurrent Transformers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T14:07:54.831688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T14:07:54.831688Z digest=sha256:72ea4bd739634d7f62870024f6d563c21a7c69b7c0baee161f4c059ef379ee0a

Observation f53118ea-da55-4478-9a19-bd11537b28f2 · inbound

Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures cites this paper.

Efficient Language Modeling for Low-Resource Settings with Hybrid RNN-Transformer Architectures Block-Recurrent Transformers

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T18:21:31.540223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T18:21:31.540223Z digest=sha256:be3b83578cf3f9010062191007921b8710b23561738f8cb8d151bc2ee4c8369e

Observation ec9c06ed-241b-4eec-8117-a257684a2bb7 · inbound

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction cites this paper.

Doctoral Thesis: Geometric Deep Learning For Camera Pose Prediction, Registration, Depth Estimation, and 3D Reconstruction Block-Recurrent Transformers

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-05T12:10:09.155140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:10:09.155140Z digest=sha256:ba1bfbfe2db171ea8317b187c0e62704e71e8c19a043983d6b9b73000d37a2bc

Observation f3e977db-3a20-4819-8507-8456456e3937 · inbound

Sessa: Selective State Space Attention cites this paper.

Sessa: Selective State Space Attention Block-Recurrent Transformers

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T04:50:22.977359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T04:45:43.948266Z digest=sha256:f733c77e740ec54c31150bbcb25a7d47cd806fd19a4757fd3de141b99f88a506

Observation c161ec1f-f0c5-4703-939c-b9dcdc7b853a · inbound

Addressable Memory for Video World Models cites this paper.

Addressable Memory for Video World Models Block-Recurrent Transformers

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T05:06:51.822520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T05:06:51.822520Z digest=sha256:c953766f2614a771bc6120121ebd02cbdb3854e00153d8fd01384560e61a2647