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Paper Citation Record · LEDGER

Learning to (Learn at Test Time)

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.13807.

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

pith.paper-citation-record.v1
2310.13807 v2

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 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:26.905858Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:07:45.289034Z

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 17ed59ff-04d1-481c-89a6-a587fee4706b · inbound

TextGrad: Automatic "Differentiation" via Text cites this paper.

TextGrad: Automatic "Differentiation" via Text Learning to (Learn at Test Time)

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T11:27:58.244785Z

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=2026-05-13T11:27:58.098484Z digest=sha256:c4672e7764d6b307152ec81227621b60cf4006a379705ba2af2287487e71194e

Observation 5ec828bd-1430-4813-a2d1-4632c247fb90 · inbound

Learning to (Learn at Test Time): RNNs with Expressive Hidden States cites this paper.

Learning to (Learn at Test Time): RNNs with Expressive Hidden States Learning to (Learn at Test Time)

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:20:12.272079Z

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=2026-05-15T05:20:12.134340Z digest=sha256:32f128f641937c67d0159894eaf2f962adb0f87e9d2d6daa25cba1940afa17d8

Observation 365d0e5f-079e-4b1c-90ca-5370345dae00 · inbound

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models cites this paper.

UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models Learning to (Learn at Test Time)

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:55:26.905858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:55:26.905858Z digest=sha256:6e49c1ec6e8fae1b64de7a26a75cbcf08ac25b989457c8b01389abdd0a334c25

Observation 5dd43cf7-598d-4a59-8e54-d04d7a48a18f · inbound

SLOT: Sample-specific Language Model Optimization at Test-time cites this paper.

SLOT: Sample-specific Language Model Optimization at Test-time Learning to (Learn at Test Time)

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:38:16.990116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:38:16.990116Z digest=sha256:d254d03f992e36b396919dc926cdb25ed6aceed671bdb719cf8b8738531d8a2c

Observation 3b83103e-1e9f-461b-b9a5-dec1486b9aa3 · inbound

Learning to Discover at Test Time cites this paper.

Learning to Discover at Test Time Learning to (Learn at Test Time)

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-05-16T05:16:04.218082Z

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=2026-05-16T05:16:04.001700Z digest=sha256:86a2bbb41a9b87ab10208d3313085da4cbce47c494060866feed833e4aebdb5c

Observation 465aed49-f985-4b24-9cb0-7df9be896662 · inbound

Learning to Remember, Learn, and Forget in Attention-Based Models cites this paper.

Learning to Remember, Learn, and Forget in Attention-Based Models Learning to (Learn at Test Time)

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T03:16:07.222688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:16:07.222688Z digest=sha256:fb42a9be41aa5982f333f042b5f9d1f842bac2a138b7b715ccb0d4fb2d18ac38

Observation 311b67f4-b193-459b-818d-f9f1ab293636 · inbound

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences cites this paper.

Preconditioned DeltaNet: Curvature-aware Sequence Modeling for Linear Recurrences Learning to (Learn at Test Time)

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-10T00:19:46.613984Z

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=2026-05-10T00:19:24.366922Z digest=sha256:777bda99b9f5efcc3500032d1bb9faf20431f62bce6b7d55dc42d22142a538cd

Observation 787e484a-b38f-492a-8660-392a617c9d99 · inbound

Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction cites this paper.

Rethinking the State Update Gate for Long-Sequence Recurrent 3D Reconstruction Learning to (Learn at Test Time)

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:17:45.642857Z

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=2026-05-19T20:13:39.983216Z digest=sha256:da58ab264daabf259fa354222335d4c35f518bd51d2eb1dccc4dbd086c8d933b

Observation 6a7fa037-fb98-4923-81d5-74eb588972d6 · inbound

The Power of Test-Time Training for Approximate Sampling cites this paper.

The Power of Test-Time Training for Approximate Sampling Learning to (Learn at Test Time)

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-07-03T08:07:45.290443Z

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=2026-06-27T11:07:47.543592Z digest=sha256:cfd3120e6bc2bccc13c2a90da3b6ef80eb813ad51b3433e2be52b01439c6ac1a