Paper Citation Record · LEDGER

BERTs are Generative In-Context Learners

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.04823.

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

pith.paper-citation-record.v1
2406.04823 v2

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 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:49:12.150658Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 363828df-81a1-4b4f-8f6c-d140611b2ba3 · inbound

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference cites this paper.

Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference BERTs are Generative In-Context Learners

Reference 179

Resolution: verified exact; arxiv_id, observed 2026-05-20T17:46:46.949599Z

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.

Observation 727558e6-826b-48f3-b14e-2ef42269f5aa · inbound

It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers cites this paper.

It's All in The [MASK]: Simple Instruction-Tuning Enables BERT-like Masked Language Models As Generative Classifiers BERTs are Generative In-Context Learners

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T00:49:12.150658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb74a02-3c28-4a66-999c-a45a4e69665b · inbound

Enabling Autoregressive Models to Fill In Masked Tokens cites this paper.

Enabling Autoregressive Models to Fill In Masked Tokens BERTs are Generative In-Context Learners

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T17:10:39.822853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e265842c-7e61-40cc-afc5-6409dd85f99f · inbound

Tiny Reward Models cites this paper.

Tiny Reward Models BERTs are Generative In-Context Learners

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T17:48:07.181168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cc58af5-d043-4767-bfcc-5e6feb01996c · inbound

TEN: Table Explicitization, Neurosymbolically cites this paper.

TEN: Table Explicitization, Neurosymbolically BERTs are Generative In-Context Learners

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-05T21:08:50.768262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.