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Paper Citation Record · LEDGER

Understanding Learning Dynamics Of Language Models with SVCCA

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1811.00225.

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

pith.paper-citation-record.v1
1811.00225 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:23:15.296574Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:23.476101Z

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 16a900d8-031c-41b7-a902-9071a4ea7b04 · 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 Understanding Learning Dynamics Of Language Models with SVCCA

Reference 216

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:23.480269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:6430ecfbb03c7ec6c88cb8de1c94e81e55a09b9ba67c7a0fbd02cb827b277530

Observation 8003afbf-2c4d-4590-9484-f88e7b687de5 · inbound

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining cites this paper.

Estimating the Effects of Sample Training Orders for Large Language Models without Retraining Understanding Learning Dynamics Of Language Models with SVCCA

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T13:23:15.296574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:23:15.296574Z digest=sha256:f5252994f0d3ceed5f13f16cf11de1f08c11a24c4db50c093fdc40c31948d2ac

Observation e5acbd63-fc17-4bdf-955b-db35440ac7a1 · inbound

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion cites this paper.

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion Understanding Learning Dynamics Of Language Models with SVCCA

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:21.019943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:21.019943Z digest=sha256:78ed5021c32d2eab68315be4e897a1d9a7a8eecb801edf7300c0032633b25d1b