Paper Citation Record · LEDGER

Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2104.08771.

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

pith.paper-citation-record.v1
2104.08771 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:39:37.529785Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T10:27:56.869648Z

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 31b3a4f7-d5e1-4ab3-b6cf-59849bd93974 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.935383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e6bd5b49-6839-403b-a668-fbdc7677c71d · inbound

Generalizable Radio-Frequency Radiance Fields for Spatial Spectrum Synthesis cites this paper.

Generalizable Radio-Frequency Radiance Fields for Spatial Spectrum Synthesis Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:52:29.664581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ae4eea82-f5f5-4a74-a509-c016a9ae35b1 · inbound

Causal Fingerprints of AI Generative Models cites this paper.

Causal Fingerprints of AI Generative Models Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-18T15:31:33.686903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e69a5714-8108-4508-b397-fc032006951f · inbound

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization cites this paper.

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:27:59.206139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2a755685-540f-4bba-b0c9-afa0df7593ce · inbound

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization cites this paper.

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T10:39:37.529785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9f8285b-c8b4-4538-ae47-91d3ff49cc94 · inbound

Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations cites this paper.

Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:01:32.349501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 7005529e-ca52-432e-bd59-937f572b9022 · inbound

Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations cites this paper.

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:17:28.913162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed6b878f-c4a1-414a-9687-7578f0441b89 · inbound

Time-Conditioned and Multi-Time Survival Prediction from 2D PET/CT Projections in Lung Cancer cites this paper.

Time-Conditioned and Multi-Time Survival Prediction from 2D PET/CT Projections in Lung Cancer Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:27:56.871192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.