Paper Citation Record · LEDGER

ICLR: In-Context Learning of Representations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2501.00070.

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

pith.paper-citation-record.v1
2501.00070 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:52:24.247836Z

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

1
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 b53388a2-3ccf-4462-b05b-63196849e882 · inbound

Harmonic Loss Trains Interpretable AI Models cites this paper.

Harmonic Loss Trains Interpretable AI Models ICLR: In-Context Learning of Representations

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T14:52:24.247836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fee1d4d4-a77b-4914-9591-779585ae5ef3 · inbound

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs cites this paper.

Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs ICLR: In-Context Learning of Representations

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T00:04:57.375757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdb4c33e-d39a-4ca7-875c-f4926456ee38 · inbound

A Survey of Scaling in Large Language Model Reasoning cites this paper.

A Survey of Scaling in Large Language Model Reasoning ICLR: In-Context Learning of Representations

Reference 152

Resolution: verified exact; arxiv_id, observed 2026-05-22T21:22:08.734982Z

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 d3d6ecd3-ceff-424c-88bd-5cb7f759430a · inbound

On Entity Identification in Language Models cites this paper.

On Entity Identification in Language Models ICLR: In-Context Learning of Representations

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:39.260963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb59033-0b0e-47da-a17c-3453b7beacaf · inbound

Provable Low-Frequency Bias of In-Context Learning of Representations cites this paper.

Provable Low-Frequency Bias of In-Context Learning of Representations ICLR: In-Context Learning of Representations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:37:03.260977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ac701d-b4a0-4f9b-a380-65175412effb · inbound

A Markov Categorical Framework for Language Modeling cites this paper.

A Markov Categorical Framework for Language Modeling ICLR: In-Context Learning of Representations

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-19T02:36:59.925121Z

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 0934223d-ea0f-42ea-b9f9-43dd36198e80 · inbound

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement cites this paper.

ALAS: Adaptive Long-Horizon Action Synthesis via Async-pathway Stream Disentanglement ICLR: In-Context Learning of Representations

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:06:05.002199Z

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 67a62d91-c067-4665-97eb-002fe41e0563 · inbound

A framework for analyzing concept representations in neural models cites this paper.

A framework for analyzing concept representations in neural models ICLR: In-Context Learning of Representations

Reference 172

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T22:18:59.141723Z

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 689aa3bb-4778-4f13-9d7f-a1543783fed9 · inbound

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models cites this paper.

Uncovering and Shaping the Latent Representation of 3D Scene Topology in Vision-Language Models ICLR: In-Context Learning of Representations

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:55.026979Z

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 1ff63002-bf84-41ac-b4ce-1920cc4cf796 · inbound

Belief or Circuitry? Causal Evidence for In-Context Graph Learning cites this paper.

Belief or Circuitry? Causal Evidence for In-Context Graph Learning ICLR: In-Context Learning of Representations

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:41:23.966886Z

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 893d285e-9c96-4949-853d-b2c56c178cc3 · inbound

Yang-Mills-Higgs: A Geometric Theory of Binary Labels on Non-Contractible Spaces cites this paper.

Yang-Mills-Higgs: A Geometric Theory of Binary Labels on Non-Contractible Spaces ICLR: In-Context Learning of Representations

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:06:40.546568Z

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 7d93e54b-1075-4f79-b895-bd09716d3342 · inbound

Context Is King: How In-Context Specification Shapes the Geometry of Concepts cites this paper.

Context Is King: How In-Context Specification Shapes the Geometry of Concepts ICLR: In-Context Learning of Representations

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T15:17:59.813238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.