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Paper Citation Record · LEDGER

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.14852.

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

pith.paper-citation-record.v1
2212.14852 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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:44:22.157650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:29.139406Z

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 79dcd8b9-279d-4050-96f4-ef5abcf90655 · inbound

ATLAS: Learning to Optimally Memorize the Context at Test Time cites this paper.

ATLAS: Learning to Optimally Memorize the Context at Test Time An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:22.157650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:44:22.157650Z digest=sha256:a1135382689b90934a7a2bbfb2271d2f2c328f4390f9ce20062c2fda73c4245f

Observation 45937a89-d280-46e5-9f4e-0a22770602bb · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:38.775781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:38.775781Z digest=sha256:dd2952436a11f80925d8fe7236c2f1c3168693b35dda336dc6a1bd2eccef6414

Observation db982b39-b026-4152-ae4b-2ac260906692 · inbound

Spectrum-Adaptive Generalization Bounds for Trained Deep Transformers cites this paper.

Spectrum-Adaptive Generalization Bounds for Trained Deep Transformers An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Reference 33

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:35:58.851184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:13:25.378895Z digest=sha256:bc6880d04a199fb297bb64eeceb2cf0cff6c14cb32b7b585a9085755f5f8e676

Observation 8b2d48f4-d037-4317-a828-3a483cabe1f4 · inbound

Learning Theory of Transformers: Local-to-Global Approximation via Softmax Partition of Unity cites this paper.

Learning Theory of Transformers: Local-to-Global Approximation via Softmax Partition of Unity An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:31:26.455530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T02:37:39.822656Z digest=sha256:db2bdcf4f86bf7db2b7fadc73655eb2e79172798aa5cbc8a6f74eb02f0cf8abb

Observation 32c80667-1d79-4896-96de-fdf166cec9cd · inbound

Tight Sample Complexity of Transformers cites this paper.

Tight Sample Complexity of Transformers An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T23:57:29.140673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T17:33:48.373948Z digest=sha256:e93ea9ed6e9d4722c3ab68b9166109f8f81a3c8eec5a9d9dcaa5912035382bd1