Paper Citation Record · LEDGER

How Smooth Is Attention?

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.14820.

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

pith.paper-citation-record.v1
2312.14820 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:46:51.523721Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:27:09.089504Z

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 2e35bfe4-9551-431f-afd1-6be179ed9eb5 · inbound

Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers cites this paper.

Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers How Smooth Is Attention?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T18:46:51.523721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aff418a-db5e-494e-8d9b-aa07aad35ff0 · inbound

Memory Limitations of Prompt Tuning in Transformers cites this paper.

Memory Limitations of Prompt Tuning in Transformers How Smooth Is Attention?

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T13:55:34.581643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5161079d-d1c1-42d9-b06c-511f99ed4183 · inbound

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation cites this paper.

Mixture of Sequence: Theme-Aware Mixture-of-Experts for Long-Sequence Recommendation How Smooth Is Attention?

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T17:31:22.273009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 34346875-7dfa-4f41-96d0-5e82faeda62f · inbound

Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching cites this paper.

Semantic Cache Distillation: Efficient State Transfer via Reuse and Selective Patching How Smooth Is Attention?

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:09.090837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.