Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-10T15:22:21.955640Z
Paper Citation Record · LEDGER
Transformers Learn Latent Mixture Models In-Context via Mirror Descent
As of 16 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2604.10848.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
5 of 5 outbound references displayed
- verified exact0
- verified fuzzy4
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation fe242d53-4e3a-4b84-98e4-bc8ac54c0e9a · outbound
This paper cites Transformers on Markov Data: Constant Depth Suffices.
Transformers Learn Latent Mixture Models In-Context via Mirror Descent Transformers on Markov Data: Constant Depth Suffices
Reference 1
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T10:41:05.038608Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 212bbb76-5681-4c23-a220-48789a0d8d77 · outbound
This paper cites It represents the theoretical performance limit for inference under the MTD model assumptions, providing a gold-standard benchmark against which other estimators can be compared.
Transformers Learn Latent Mixture Models In-Context via Mirror Descent It represents the theoretical performance limit for inference under the MTD model assumptions, providing a gold-standard benchmark against which other estimators can be compared
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T02:40:41.893072Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 449fe2f6-50c6-4cef-9bd1-ac964298f925 · outbound
This paper cites no evidence.
Transformers Learn Latent Mixture Models In-Context via Mirror Descent no evidence
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T02:40:41.889593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation d30ed26a-c687-4074-abbf-9cf3569d7c1d · outbound
This paper cites Using equation 43 we get the upper bound∥c t∥2 2 ≤m·1 2 =mfor everyt.
Transformers Learn Latent Mixture Models In-Context via Mirror Descent Using equation 43 we get the upper bound∥c t∥2 2 ≤m·1 2 =mfor everyt
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T02:40:41.896390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b752d62d-d8ee-4a70-9892-056bfa49f1f3 · outbound
This paper cites Using this inequality we obtain, for everyt, m2 S2 t ∥ct∥2 2 ≤ m2 S2 t S2 t =m 2.
Transformers Learn Latent Mixture Models In-Context via Mirror Descent Using this inequality we obtain, for everyt, m2 S2 t ∥ct∥2 2 ≤ m2 S2 t S2 t =m 2
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-18T02:40:41.900041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Pith citing papers
No inbound Pith citation observations are available.