Paper Citation Record · LEDGER

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.19827.

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

pith.paper-citation-record.v1
2403.19827 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:13:18.204599Z

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

3
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 2d9bce03-50ff-4085-87d3-cee513cdf28b · inbound

A systematic framework for generating novel experimental hypotheses from language models cites this paper.

A systematic framework for generating novel experimental hypotheses from language models Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.880200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e733fd94-2847-4033-a8ca-95654a86d07f · inbound

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior cites this paper.

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-23T02:42:26.387443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a5f6e6b8-7597-42b6-a9d0-d5631b06de72 · inbound

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior cites this paper.

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:55:33.118408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation aebf94c6-0dcc-4975-9a8d-b3ee07eb6fc7 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:18.204599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36d5c235-384b-441b-887f-caf9453ece84 · inbound

Brain-LLM Alignment Tracks Training Data, Not Typology cites this paper.

Brain-LLM Alignment Tracks Training Data, Not Typology Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T05:45:22.981862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eacbbaa7-8fca-4445-9297-a386d5e8fbe3 · inbound

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography cites this paper.

Sparse Autoencoders Map Brain-LLM Alignment onto Cortical Semantic Topography Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T05:40:23.385706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61310885-15cf-4490-ac9b-9370b1dce0b3 · inbound

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models cites this paper.

Behavioral and Representational Evidence of Binomial Ordering Preferences in Large Language Models Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Reference 275

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:39:37.946292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71ad8e7c-758f-4520-8eb7-d5f9b6e1238b · inbound

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining cites this paper.

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T21:10:09.112691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.