Paper Citation Record · LEDGER

Training Trajectories of Language Models Across Scales

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2212.09803.

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

pith.paper-citation-record.v1
2212.09803 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:41:46.230224Z

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

0
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 eca6dce9-0940-423c-bb4c-a39f29078657 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Training Trajectories of Language Models Across Scales

Reference 91

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:45:17.903448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50b8710f-c728-4e18-9c14-b2f87676ecc5 · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Training Trajectories of Language Models Across Scales

Reference 180

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T17:45:17.674417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7e2a865d-2e55-4b95-a984-98098a30b8f6 · inbound

Scaling Data-Constrained Language Models cites this paper.

Scaling Data-Constrained Language Models Training Trajectories of Language Models Across Scales

Reference 131

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:35:21.479135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 02c817c7-1e25-4563-88a2-6c11c8826ec6 · inbound

Predicting Emergent Capabilities by Finetuning cites this paper.

Predicting Emergent Capabilities by Finetuning Training Trajectories of Language Models Across Scales

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-12T13:41:46.230224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 177a0653-5804-4c5b-88cc-80f483b72fff · inbound

Predictable Emergent Abilities of LLMs: Proxy Tasks Are All You Need cites this paper.

Predictable Emergent Abilities of LLMs: Proxy Tasks Are All You Need Training Trajectories of Language Models Across Scales

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-11T19:11:48.516890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9bd4b689-2dfa-4773-81db-8605e8572abc · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Training Trajectories of Language Models Across Scales

Reference 219

Resolution: verified exact; arxiv_id, observed 2026-05-19T08:02:23.501537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 50842ce7-c236-41b2-a326-fb7d0b61af28 · inbound

How much do language models memorize? cites this paper.

How much do language models memorize? Training Trajectories of Language Models Across Scales

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:41.259204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 472b5137-f1ae-45ce-90c0-e4df3b90f4dd · inbound

Fairness Dynamics During Training cites this paper.

Fairness Dynamics During Training Training Trajectories of Language Models Across Scales

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:39:52.924492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87b1c8c5-13f9-4c96-aac4-392dacadbba9 · inbound

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law cites this paper.

Capability Salience Vector: Fine-grained Alignment of Loss and Capabilities for Downstream Task Scaling Law Training Trajectories of Language Models Across Scales

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:02.700113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e71ca646-0868-4ca5-873d-b501270a77b0 · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Training Trajectories of Language Models Across Scales

Reference 226

Resolution: verified exact; arxiv_id, observed 2026-05-20T01:32:55.873440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0a19b94e-d449-4f28-9d41-7f6768ef0bdb · inbound

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent cites this paper.

Feature Learning in Linear-Width Two-Layer Networks: Two vs. One Step of Gradient Descent Training Trajectories of Language Models Across Scales

Reference 226

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:40:24.922360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.