Paper Citation Record · LEDGER

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2505.19440.

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

pith.paper-citation-record.v1
2505.19440 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:02.317894Z

measured 20 of 20 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T20:38:18.005002Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T20:40:36.243740Z

Reference resolution

19 of 19 outbound references displayed

verified exact2
verified fuzzy4
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3b8a7d82-1a89-4df1-9fab-84469c787299 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models On the Opportunities and Risks of Foundation Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:59.501492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6bc4e23-6109-4e96-b86d-c08e39bc65b7 · outbound

This paper cites Zoom in: An introduction to circuits.Distill, 2020.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Zoom in: An introduction to circuits.Distill, 2020

Reference 2

Resolution: malformed identifier; no resolver link, observed 2026-08-07T14:18:59.614260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 827295b5-c950-4914-b42a-d894748d88f8 · outbound

This paper cites Emergent Abilities of Large Language Models.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Emergent Abilities of Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:59.724160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1f80ca3-2c47-4325-a52b-5d8403ded00c · outbound

This paper cites Scaling Laws for Neural Language Models.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Scaling Laws for Neural Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:18:59.900330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9eb9baa3-1cbb-48bd-8c24-987a8c4ded1d · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, and et al.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Brown, Benjamin Mann, Nick Ryder, and et al

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:04.218162Z

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 07569642-d758-4781-b842-74e258b06cb5 · outbound

This paper cites Mechanistic Permutability: Match Features Across Layers.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Mechanistic Permutability: Match Features Across Layers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:00.276739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f674371d-2d20-4c68-822b-28699c825627 · outbound

This paper cites A layer-wise analysis of transformer representations.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models A layer-wise analysis of transformer representations

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:03.941961Z

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 995d0c83-1955-4ccb-939b-581fcdc64688 · outbound

This paper cites Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers?

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:00.528159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7893a3ae-687a-4a2a-9b0a-f1b361134fc8 · outbound

This paper cites DriftGAN: Using historical data for Unsupervised Recurring Drift Detection.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models DriftGAN: Using historical data for Unsupervised Recurring Drift Detection

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:03.200867Z

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 f3617dcb-a042-450d-b326-b3088ede5db2 · outbound

This paper cites Tracking the Feature Dynamics in LLM Training: A Mechanistic Study.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Tracking the Feature Dynamics in LLM Training: A Mechanistic Study

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:00.848099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 390b4d66-aa63-4fc2-bae2-d60f43fd3fe6 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Measuring Massive Multitask Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:01.024124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73e77240-90fa-4e7c-a64d-892dd2599e11 · outbound

This paper cites Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:19:02.964582Z

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 fd4e08e8-d503-4d3b-9f0b-a2c7b8106637 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:01.433822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4dc1c2a3-5400-4b74-b8cd-c36546efb7eb · outbound

This paper cites Scaling and evaluating sparse autoencoders.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Scaling and evaluating sparse autoencoders

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:01.578593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fed19dd-47fa-4662-8b79-07f93776e121 · outbound

This paper cites Towards monosemanticity: Decomposing language models with dictionary learning.Transformer Circuits Thread, 2, 2023.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Towards monosemanticity: Decomposing language models with dictionary learning.Transformer Circuits Thread, 2, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:01.730011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57e094d0-71f7-49f7-a962-8e2c386523fc · outbound

This paper cites Schönemann.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Schönemann

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:03.674504Z

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 926af454-d867-4064-93f3-87a2d1c3fcff · outbound

This paper cites Turk-Browne.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Turk-Browne

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:19:03.442553Z

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 9b1b1d0f-6a15-475e-b6ab-21a7e249e3c1 · outbound

This paper cites In-context Learning and Induction Heads.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models In-context Learning and Induction Heads

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:02.164968Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b2073b9-4ecd-4dfe-8ad2-7cc204bddfeb · outbound

This paper cites Scattering-Passive Structure-Preserving Finite Element Method for the Boundary Controlled Transport Equation with a Moving Mesh.

The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models Scattering-Passive Structure-Preserving Finite Element Method for the Boundary Controlled Transport Equation with a Moving Mesh

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T14:19:02.649885Z

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.

Pith citing papers

Observation 5ac939a2-7f9a-40a2-aab4-286b6170b916 · inbound

Deep sequence models tend to memorize geometrically; it is unclear why cites this paper.

Deep sequence models tend to memorize geometrically; it is unclear why The Birth of Knowledge: Emergent Features across Time, Space, and Scale in Large Language Models

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-05-21T20:40:36.245567Z

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.