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Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 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 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:52:16.392102Z

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-13T14:50:23.991809Z digest=sha256:3599475be4b82513ed7033a695d625a68ceed8cae7df814d0363ff88488bea68

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:ab1c29960347fd6139703cb2000e97ddf5b083f97fe40fd4549b2f5d74fce804

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T12:27:06.616920Z digest=sha256:233cb09109673768879d99bab072af245f79111546a5035bbab2ed57a1136470

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=sha256:37fd88d810530e8740cd8198c9ef1a7fab3f3952280adf650e37ac643b81952c

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=sha256:2947e81ba965b58fca4634d80240421e33c05a7519c2658a44f2668dc20b38ac

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-07T16:16:42.491035Z digest=sha256:c81db68ca377c7bba0ca6cd36633a6d3821da2a39bf7af0637467db6c08ddf0f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T18:10:31.448311Z digest=sha256:22115633bebe0f505166a8bca550945d9db238590a86898af2532dded1304900

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T19:08:18.768344Z digest=sha256:824c067be03cbbf6cc2e1c8996d80380d0d0a105fe0dc09abda4a029929ea8da

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T21:19:30.138022Z digest=sha256:5f348dc4f0a5c4420822b7ccf040eb2085b84268f3fbb09959f265d851373804

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-03T15:15:07.275852Z digest=sha256:b1e53db392ead76f017a1f0f5f5ca91c91ada3130806b86a4da17098c90a7ea0