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Paper Citation Record · LEDGER

What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2204.05832.

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

pith.paper-citation-record.v1
2204.05832 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:29:16.641264Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T09:14:16.427663Z

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 fc8f302e-f3aa-45ac-a88a-6216586923dd · inbound

Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 121

Resolution
verified exact
arxiv_id, observed 2026-05-12T04:22:30.301662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:22:30.008355Z digest=sha256:10709485d51affd7635647caf9e590c8847e425912dbb3c8ec8e443c76401288

Observation c2e2fcd7-b772-43f7-a518-6c368b7af8f0 · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 88

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:38:38.233526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T07:38:37.734402Z digest=sha256:6c939bab60b6dbc2f9de540c139cffc0431774c8ad6e9713110464a5965c1b9f

Observation ac462a33-3b21-43aa-9cf4-c6e06d0879dc · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-24T09:14:16.430799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-24T09:13:30.054153Z digest=sha256:716a85b86d7719e6a441f0086a59e4bdc63aba2d821b2bbf374bacb1145e2f0f

Observation 3228e870-568a-4312-94fc-2d83e6eb31b9 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 85

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T09:46:10.099858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T09:46:09.701440Z digest=sha256:e26046717c197eb9cf4157f96f6a6d42a294345f5539609b93c483a4072a1e00

Observation 4a3f76f2-50fa-42fa-a61b-ba30395046ff · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 154

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:10:41.115358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:a5703eb3d0a449bdf2b8ef3be89fbb2e4c35326f2281a280fa3105513c15005d

Observation dabb081f-ce5f-4125-99cb-800643504c8b · inbound

Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding cites this paper.

Top-Theta Attention: Sparsifying Transformers by Compensated Thresholding What Language Model Architecture and Pretraining Objective Work Best for Zero-Shot Generalization?

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T05:29:16.641264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T05:29:16.641264Z digest=sha256:69f4e02505d147a075d3d65790a03341cbf7bf0a79a1338073a786d8ca473839