Paper Citation Record · LEDGER

Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2203.17189.

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

pith.paper-citation-record.v1
2203.17189 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:38:51.255533Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T15:44:48.510903Z

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 d222309e-b5b7-47e6-8bed-50ef9a6c64c0 · inbound

PaLM: Scaling Language Modeling with Pathways cites this paper.

PaLM: Scaling Language Modeling with Pathways Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-10T23:45:07.351610Z

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 67e542c1-f4ab-4eea-8f1f-a5d9a0b15ff9 · inbound

GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:34:28.194926Z

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 7b1516aa-2e8a-48bf-8a11-bf5cda56a013 · inbound

PaLI: A Jointly-Scaled Multilingual Language-Image Model cites this paper.

PaLI: A Jointly-Scaled Multilingual Language-Image Model Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:29:06.126273Z

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 731aebce-2d5c-4184-9ac7-89b1c6dc61fe · inbound

Phenaki: Variable Length Video Generation From Open Domain Textual Description cites this paper.

Phenaki: Variable Length Video Generation From Open Domain Textual Description Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:43:34.065498Z

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 4ce0fe4a-32e1-4bf4-8b2d-45bafcfac55e · inbound

Fast Inference from Transformers via Speculative Decoding cites this paper.

Fast Inference from Transformers via Speculative Decoding Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:52:00.164714Z

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 a5886f98-9e55-4429-910e-7a75f63e791d · 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 Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-24T09:14:16.503648Z

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 e17d11e1-7384-4e11-9363-30a0e0bc2fcd · inbound

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints cites this paper.

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:53:59.479304Z

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 56c7bf49-a9e5-4797-a2f6-fbf23781cab7 · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 104

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:46:09.832479Z

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 6bdefad0-277a-470e-9d27-1166b80b3ee2 · inbound

Gemma: Open Models Based on Gemini Research and Technology cites this paper.

Gemma: Open Models Based on Gemini Research and Technology Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:54:09.005083Z

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 863817d1-b906-4e25-af65-e89d0c8dbec7 · inbound

Gemma 2: Improving Open Language Models at a Practical Size cites this paper.

Gemma 2: Improving Open Language Models at a Practical Size Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:11:16.525059Z

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 78fbb1dc-3de3-4d1a-989b-9598a5a3dfa4 · inbound

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality cites this paper.

Building Task Bots with Self-learning for Enhanced Adaptability, Extensibility, and Factuality Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-05T15:38:51.255533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bd20f32-ba94-4c48-acd9-b23fb3da076f · inbound

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models cites this paper.

Transformer Scalability Crisis: The First Comprehensive Empirical Analysis of Performance Walls in Modern Language Models Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:12:38.903095Z

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 42a2e913-e131-413e-a98e-a300fd8a95da · inbound

UniVL: Unified Vision-Language Embedding for Spatially Grounded Contextual Image Generation cites this paper.

UniVL: Unified Vision-Language Embedding for Spatially Grounded Contextual Image Generation Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:26:20.769472Z

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 ec1a6d90-e178-48dd-a811-c743da93328b · inbound

Orbax: Distributed Checkpointing with JAX cites this paper.

Orbax: Distributed Checkpointing with JAX Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:05:22.751918Z

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 5d2dca64-0724-4298-961f-3d281e20f5a9 · inbound

Orbax: Distributed Checkpointing with JAX cites this paper.

Orbax: Distributed Checkpointing with JAX Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:44:48.512477Z

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.