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Paper Citation Record · LEDGER

A Latent Space Theory for Emergent Abilities in Large Language Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2304.09960.

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

pith.paper-citation-record.v1
2304.09960 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:21:37.098271Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T06:57:27.809927Z

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 d3a02ee1-3937-426a-b3fa-ddb9522938c6 · inbound

A Survey on In-context Learning cites this paper.

A Survey on In-context Learning A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T12:58:27.514920Z

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=2026-05-12T12:58:27.430374Z digest=sha256:02a08db91dd062e131bd190f09654e1462e1d9ce32bc5ab9a308c91932eebfcb

Observation 08280556-9764-4d4d-b0a9-b52218e1f21e · inbound

The Role of Diversity in In-Context Learning for Large Language Models cites this paper.

The Role of Diversity in In-Context Learning for Large Language Models A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:37.098271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:21:37.098271Z digest=sha256:d09f15c12c3d62ed289b402f12cb34486ca453fef85d4b62983147178c2d5334

Observation 04cfe5c6-48d7-47bf-9ad2-f2da8a8e07b9 · inbound

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models cites this paper.

Transformers as Multi-task Learners: Decoupling Features in Hidden Markov Models A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T11:40:55.929001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:40:55.929001Z digest=sha256:4186029a9980001a631c1dccfdade9ff100e7a6ec194ddba62e6a6d6c6bac36e

Observation 3badab03-2211-481b-94bd-d1beadc38d01 · inbound

Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds cites this paper.

Autoregressive Learning in Joint KL: Sharp Oracle Bounds and Lower Bounds A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:57:27.812818Z

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=2026-05-13T06:55:33.934110Z digest=sha256:75fcb12fbf1da46b17d16b1214397352512f58d670ecde91050d70493814b8e4

Observation 5ef71018-6a83-4667-91ca-2e08960f1dab · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex A Latent Space Theory for Emergent Abilities in Large Language Models

Reference 124

Resolution
unresolved
no resolver link, observed 2026-07-31T23:52:00.268987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:52:00.268987Z digest=sha256:347096eddd1e3e6ededbe5548603236d64d857c7bc05633e4298418bdecf31ff