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Paper Citation Record · LEDGER

Just read twice: closing the recall gap for recurrent language models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2407.05483.

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

pith.paper-citation-record.v1
2407.05483 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:34.712201Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:30:07.247439Z

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 96709be4-6d70-4dfa-8038-31a303768764 · inbound

Gated Delta Networks: Improving Mamba2 with Delta Rule cites this paper.

Gated Delta Networks: Improving Mamba2 with Delta Rule Just read twice: closing the recall gap for recurrent language models

Reference 297

Resolution
verified exact
arxiv_id, observed 2026-05-13T14:50:24.355897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T14:50:23.991809Z digest=sha256:7ba49daad5998c5c3d958766a2464e80788349250a7a523634d01ace4709ef51

Observation 7e4e5e93-2df0-4c68-8909-a77e8e23a17c · inbound

SCBench: A KV Cache-Centric Analysis of Long-Context Methods cites this paper.

SCBench: A KV Cache-Centric Analysis of Long-Context Methods Just read twice: closing the recall gap for recurrent language models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T16:14:05.513213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:14:05.513213Z digest=sha256:945c8dfef23483d6591e5b97f2f7d9b855e76c4d5c57d90d3869514617346a3b

Observation 882493b5-5b1d-4c92-9ea1-206280a6203f · inbound

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models cites this paper.

Expansion Span: Combining Fading Memory and Retrieval in Hybrid State Space Models Just read twice: closing the recall gap for recurrent language models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T13:17:49.870263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:17:49.870263Z digest=sha256:9ebf24203d1e4871603731077d202e62baf67e5d68b26ce16246940d5a89a078

Observation 86b416ae-2ac7-42d1-906c-40a7941ad941 · inbound

Autoregressive Universal Video Segmentation Model cites this paper.

Autoregressive Universal Video Segmentation Model Just read twice: closing the recall gap for recurrent language models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-05T15:52:16.392102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:52:16.392102Z digest=sha256:cf3c4cc8c5d59850cda85ea4bb9fce52685797fdd54cf005d2176a86df09b1b8

Observation 098d6866-3cb3-4c4f-842e-fd8db4b92909 · inbound

StateX: Enhancing RNN Recall via Post-training State Expansion cites this paper.

StateX: Enhancing RNN Recall via Post-training State Expansion Just read twice: closing the recall gap for recurrent language models

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-18T12:31:22.205582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T12:27:06.616920Z digest=sha256:05216e8b7320478109013f30a2b814d0c1c07acf04e7d13f30cb03e38a9aaada

Observation 6e049d7e-d541-4901-a43f-5631b65a9810 · inbound

Controllably Efficient Language Models cites this paper.

Controllably Efficient Language Models Just read twice: closing the recall gap for recurrent language models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-03T23:33:52.586902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:33:52.586902Z digest=sha256:8049e056b81420b439bbee73043ebe2b0a668a2b1684658808b8c494e38fffff

Observation 4dd7e7e3-acac-4748-8680-85f607e66a8b · inbound

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers cites this paper.

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers Just read twice: closing the recall gap for recurrent language models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T15:22:46.912619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:22:46.912619Z digest=sha256:c1b1d28552c7b3400c30c16fca682cffa498c600ae04636de389a7f87d0a2fdd

Observation 6bf7e841-3e84-4fba-a1aa-67913bcc7bcc · inbound

Transformers with Selective Access to Early Representations cites this paper.

Transformers with Selective Access to Early Representations Just read twice: closing the recall gap for recurrent language models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:46:54.778750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-07T16:16:42.491035Z digest=sha256:c7049e3af0c110161be6ab0ab8fce6bfb134b3d415f95a8167f90edad4444874

Observation 6b988dba-1c42-4798-b278-a40b34554178 · inbound

Transformers with Selective Access to Early Representations cites this paper.

Transformers with Selective Access to Early Representations Just read twice: closing the recall gap for recurrent language models

Reference 7

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T06:45:40.984693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-08T18:10:31.448311Z digest=sha256:060aee3858f365a829e94e858f41fdfbca3a964775c2b2dd0f5f05964f07dd75

Observation e38bb359-6662-46c6-8417-47f9135820ca · inbound

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention cites this paper.

OSDN: Improving Delta Rule with Provable Online Preconditioning in Linear Attention Just read twice: closing the recall gap for recurrent language models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T19:09:23.225904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-14T19:08:18.768344Z digest=sha256:c6dfe8a1ee078f766bece0391926dddd8498a4402bc3eb83ecc28f478b297925

Observation af400358-f4b6-4868-9c6c-bedff45e27d8 · inbound

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention cites this paper.

Lifelong In-Context Learning with Transformers Requires Parametric Forms of Attention Just read twice: closing the recall gap for recurrent language models

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T19:30:07.248922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-25T21:19:30.138022Z digest=sha256:782e59dc7d6620675f8f5faadaca55dd5938c2a0b43661ff28ec9dfe39ad7654

Observation dce9d604-c3c5-43ce-9d00-ce7b969e388c · inbound

PARTREP: Learning What to Repeat for Decoder-only LLMs cites this paper.

PARTREP: Learning What to Repeat for Decoder-only LLMs Just read twice: closing the recall gap for recurrent language models

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T15:18:32.806728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-07-03T15:15:07.275852Z digest=sha256:9a4760992bf13fb626375235d1e2c39f7950a001ab4e7bdf084818b7cd2ea28c

Observation cde16a2e-2a9b-48ae-b816-d593fcaf3994 · inbound

Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus cites this paper.

Massive Activations in Hybrid Linear Attention Large Language Models: Pre-Attention Spikes and Inter-Spike Plateaus Just read twice: closing the recall gap for recurrent language models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:34.712201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:18:34.712201Z digest=sha256:ea20741517d2c02fc6ab23202be0c9f7bed601978abad38ed2175473d472ce29