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Paper Citation Record · LEDGER

General-Purpose In-Context Learning by Meta-Learning Transformers

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2212.04458.

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

pith.paper-citation-record.v1
2212.04458 v2

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 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:07:28.175188Z

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

6
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 423896a3-6eb8-4971-b577-5a1a10735762 · inbound

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution cites this paper.

Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 182

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:12:31.690732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T08:12:30.984870Z digest=sha256:2a39ec8d49d0dc1e174af6bd60720c0e43dc4c01dfa07dba54e0ede6d60c7660

Observation a9ae3bbe-9ac9-454d-b401-1f88ad2006bb · inbound

Model Organisms for Emergent Misalignment cites this paper.

Model Organisms for Emergent Misalignment General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:07:28.175188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:28.175188Z digest=sha256:abf77072b8f18c92d6ba779d1a355a8a14a88b838474f3aa6eb3a5303a36eeab

Observation d311f207-c96c-4db0-bcd6-872853083b06 · inbound

Distributionally robust minimization in meta-learning for system identification cites this paper.

Distributionally robust minimization in meta-learning for system identification General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T23:29:06.514830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:29:06.514830Z digest=sha256:d057ee04353cc339ea19ab7d039ecc38106adb27c6af40d3fff6a40bcd7db93d

Observation 9e1ff532-0e1c-4910-87b6-d7b9124a70b2 · inbound

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning cites this paper.

Prompt Informed Reinforcement Learning for Visual Coverage Path Planning General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T17:39:45.093231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:39:45.093231Z digest=sha256:d516bb11534231fb3ebbd09d3297ef99efdc1cba3e547e5afcd6baa82b117168

Observation b0fb77fe-8fd0-4cb2-b171-cc76dc4ea49f · inbound

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos cites this paper.

MimicDroid: In-Context Learning for Humanoid Robot Manipulation from Human Play Videos General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T18:51:36.022159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:51:36.022159Z digest=sha256:86cf0d52685f653724e6ce6f2205c87df637203645a7af0da7a22a1b153e9b57

Observation fc348d6c-1682-40c8-aa43-f1978f6a7622 · inbound

Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights cites this paper.

Mixture-of-Top-k Attention: Efficient Attention via Scalable Fast Weights General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:52:37.602814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-16T08:51:25.375847Z digest=sha256:33f565bd50e16c93838c21c6d460b820676e5af02d4f69e2951cccb071965a5a

Observation edf7c143-4fd1-472e-9873-61480e322c2a · inbound

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior cites this paper.

Manifold Steering Reveals the Shared Geometry of Neural Network Representation and Behavior General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 292

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:16:06.822346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T17:47:09.591001Z digest=sha256:4a1fa726971f9b23dd1f7b615a782021c68b46aa8a5e190da32703dd0d0c11d7

Observation 228daa8c-2b66-43b0-8d33-e554bf4fb108 · inbound

In-Context Learning Operates as Concept Subspace Learning cites this paper.

In-Context Learning Operates as Concept Subspace Learning General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:39:03.543029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T21:34:43.735483Z digest=sha256:3b6cf191d272bbc406267dc154cc3073610f83081242c07aa422983820e450c1

Observation 6ca98f2c-7a5a-4606-94a3-5409b4549cb3 · inbound

Advancing Graph Few-Shot Learning via In-Context Learning cites this paper.

Advancing Graph Few-Shot Learning via In-Context Learning General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-06-30T13:54:43.810223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T13:53:02.176807Z digest=sha256:7afb2a3420e4bc7668868d879bc07286585c920020faaf0e003dbc8787cae87b

Observation 473bfbe1-4da4-4236-bbb3-96d745ad27cd · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.515776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T02:09:01.018909Z digest=sha256:d05ae58d7758056648ac97148c8509353c4ed8b2fcd5ceadb34f15a8b6c5f799

Observation 34502c1b-60ee-4164-bd24-425dcc381ed3 · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-02T12:20:55.674249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:20:55.674249Z digest=sha256:f90edd63e0fbfa534dd599c1fe73e38d29d14ba0b30ef3fcc3e15a5c9a03ab8f

Observation bc6b1c94-e28f-4591-bf23-1030d8aa54af · inbound

Multi-Task Bayesian In-Context Learning cites this paper.

Multi-Task Bayesian In-Context Learning General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T03:49:30.498683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-26T17:36:43.694401Z digest=sha256:bcb8f8486a0e712faa2e4e1dc339fe7f6437e491dd360d3d2076d16dd1c16faf

Observation 58402ca9-7846-47b2-8aad-fa8369839c6b · inbound

Grounding latent algorithm routing in transformer reasoning cites this paper.

Grounding latent algorithm routing in transformer reasoning General-Purpose In-Context Learning by Meta-Learning Transformers

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-31T14:04:25.189307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T14:04:25.189307Z digest=sha256:21e0163d431beb9c5999d5e63e849efc0786492ce182bb5837a697fb8a932bc8