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Paper Citation Record · LEDGER

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models

As of 20 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2501.04286.

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

pith.paper-citation-record.v1
2501.04286 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:39:38.324195Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy9
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0de319b2-f0c5-4213-9eef-8af26bb01d74 · outbound

This paper cites The boundary of neural network trainability is fractal.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models The boundary of neural network trainability is fractal

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:38.259249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2c4db621-eeb7-41f6-a16d-5cfb9a90c62c · outbound

This paper cites Fractals everywhere.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Fractals everywhere

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.566619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2d232722-613e-4d26-b8c1-53dafd1c8ae5 · outbound

This paper cites Fractal geometry: mathematical foundations and applications.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Fractal geometry: mathematical foundations and applications

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.550020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c68fed81-5235-4a88-b7cd-bb62832cfc7e · outbound

This paper cites an unresolved cited work.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:39:38.534924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 6d4f88f8-acc3-4fe2-8d9f-819e8b2e4af3 · outbound

This paper cites Chaos and fractals: new frontiers of science, volume 106.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Chaos and fractals: new frontiers of science, volume 106

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.520444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T21:39:38.277540Z digest=sha256:7899358d837224e96d85487ded7f3aff03fa0e4babc2c97999ec3f244aae8c9d

Observation d2a6f768-8f3e-42ee-8d97-10e17313a55f · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Adam: A Method for Stochastic Optimization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:38.283162Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:38.283162Z digest=sha256:fc32eecdbc4fbc4c80cc91a26fa7c4fa1d6f81359dac7fae7675cf0e036be4fa

Observation 64c1b5bd-8a77-4b45-8d14-587680064038 · outbound

This paper cites an unresolved cited work.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T21:39:38.503012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a3abfa19-0714-43b8-a095-544556dd51f9 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.488253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T21:39:38.292777Z digest=sha256:813f4e9949fdc5568b7642f3cbd3f7519c119b4ec02302b55a35705c9fe093ba

Observation 43924027-19c4-4c81-9c38-e8036f8935ea · outbound

This paper cites Improving language understanding by gen- erative pre-training.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Improving language understanding by gen- erative pre-training

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.469672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T21:39:38.296850Z digest=sha256:ef6ea82f32d09fbdfd3476b636f24a380164c66b2310540fb08b65ed56ae1e93

Observation b0bb0346-03c8-4fb8-963e-79e244d150de · outbound

This paper cites Language models are unsupervised multitask learners.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Language models are unsupervised multitask learners

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.455868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8acde8bc-9190-46d1-bafd-876b03685a53 · outbound

This paper cites Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.442168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 877da02f-80c1-48bc-adcc-29077dd86267 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:38.310080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:38.310080Z digest=sha256:48c8e10e3386857b5aae4e456e7858923acc70cca1b48fac05bfde26594d387f

Observation 1af2cb79-2777-482c-b2d2-b1fe22e41d6e · outbound

This paper cites Speech-transformer: a no-recurrence sequence-to-sequence model for speech recognition.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Speech-transformer: a no-recurrence sequence-to-sequence model for speech recognition

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.428592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-10T21:39:38.315092Z digest=sha256:1f9f915bd704043ace14ba2a248d0848c1e184db65ddd6a0fad054cc9a5d61bd

Observation 63a69c62-7267-4e37-b04c-f0129c9372f4 · outbound

This paper cites Large Batch Optimization for Deep Learning: Training BERT in 76 minutes.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T21:39:38.319433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:39:38.319433Z digest=sha256:289f51cc780fa33f9ccb6418560c6f06030195a8428bade8e8b15973b9436677

Observation 26808fe6-00f7-44fb-b4f3-cb5a6b312d29 · outbound

This paper cites The Complete Works of William Shakespeare.

Mapping the Edge of Chaos: Fractal-Like Boundaries in The Trainability of Decoder-Only Transformer Models The Complete Works of William Shakespeare

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:39:38.412185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Pith citing papers

No inbound Pith citation observations are available.