Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Transformers generalize differently from information stored in context vs in weights
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2210.05675.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T10:30:35.998457Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:39:05.233326Z
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 70f284fa-ae30-4784-8de0-cf6494727451 · inbound
Can Transformers Learn Full Bayesian Inference in Context? cites this paper.
Can Transformers Learn Full Bayesian Inference in Context? Transformers generalize differently from information stored in context vs in weights
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T10:30:35.998457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3191c054-6843-42be-a1a1-84be8dbd1f98 · inbound
Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer cites this paper.
Is Random Attention Sufficient for Sequence Modeling? Disentangling Trainable Components in the Transformer Transformers generalize differently from information stored in context vs in weights
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:57:22.619625Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f2dc8e27-f690-4c76-9182-6213ac895bc4 · inbound
In-Context Iterative Policy Improvement for Dynamic Manipulation cites this paper.
In-Context Iterative Policy Improvement for Dynamic Manipulation Transformers generalize differently from information stored in context vs in weights
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:15:50.527032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07f225cd-e82c-419e-a5bb-cd98247736e9 · inbound
To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning cites this paper.
To See the Unseen: on the Generalization Ability of Transformers in Symbolic Reasoning Transformers generalize differently from information stored in context vs in weights
Reference 4
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T22:49:15.793055Z
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.
Observation 0fe43193-b1fc-4672-9961-1f3eb17f24f6 · 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 Transformers generalize differently from information stored in context vs in weights
Reference 300
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:16:06.563360Z
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.
Observation c6e1149b-f689-4092-a9b9-723fef9295b9 · inbound
Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space cites this paper.
Stories in Space: In-Context Learning Trajectories in Conceptual Belief Space Transformers generalize differently from information stored in context vs in weights
Reference 127
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:27:19.337224Z
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.
Observation 095840ca-8fd3-4a4d-ac67-ad66039fe297 · inbound
Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model cites this paper.
Learning Dynamics of Chain-of-Thought State Tracking in a Solvable Transformer Model Transformers generalize differently from information stored in context vs in weights
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:39:05.236068Z
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.
Observation 9279d21e-b780-4e6c-845b-cf9e0849f244 · inbound
Input Pathways Shape Few-Shot, Not Zero-Shot, Binding in Tiny Transformers: A Fully-Enumerable Study cites this paper.
Input Pathways Shape Few-Shot, Not Zero-Shot, Binding in Tiny Transformers: A Fully-Enumerable Study Transformers generalize differently from information stored in context vs in weights
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T11:22:48.469230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfb0a00d-e7eb-4a97-a324-00c9d77f9b10 · inbound
Can a Language Model Learn Facts Continually in Its Weights? cites this paper.
Can a Language Model Learn Facts Continually in Its Weights? Transformers generalize differently from information stored in context vs in weights
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:36:43.499258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.