Pith. sign in

Paper Citation Record · LEDGER

Transformers as Support Vector Machines

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.16898.

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

pith.paper-citation-record.v1
2308.16898 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T20:21:58.376213Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:18:13.066258Z

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 e2fdbd2e-5a2b-49cb-96a9-87b326e24c70 · inbound

Solving Empirical Bayes via Transformers cites this paper.

Solving Empirical Bayes via Transformers Transformers as Support Vector Machines

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T20:21:58.376213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:21:58.376213Z digest=sha256:2f36fc3fb80835ae95168cee9868c74beeb4265caf3ab0d7a1faa71d4e9bd702

Observation 2b50d96b-e00c-4ba8-9ca7-4a4b3b64e704 · inbound

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization cites this paper.

A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization Transformers as Support Vector Machines

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:20.263719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:20.263719Z digest=sha256:3ffaacdbc1b0fc0403650966c40b4fa18a2bacbace9eb0bb492189534dda9f78

Observation 07fe91b1-d007-47f5-8691-5f1cf0e73c51 · inbound

Harnessing Optimization Dynamics for Curvature-Informed Model Merging cites this paper.

Harnessing Optimization Dynamics for Curvature-Informed Model Merging Transformers as Support Vector Machines

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-04T17:03:17.985792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:03:17.985792Z digest=sha256:d304f7a2fdfcee0387ce5863b32ce9330a8b97bdb6ecd34bb0fcef7bd01a741c

Observation 93817fb6-e601-4ce0-93cc-2b2fdcd1cfb7 · inbound

Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation cites this paper.

Bilevel Data Curation for LLM Fine-tuning: Offline Selection and Online Self-Refining Generation Transformers as Support Vector Machines

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-03T20:12:52.437823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T20:12:52.437823Z digest=sha256:eec769b61f57b0fa1cdd6494c7d1659bcf4454b35461440acbf3669f78dc1f6a

Observation 4284b47c-05ef-4417-8c97-49b6a6591963 · inbound

Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge cites this paper.

Breaking the Reversal Curse in Autoregressive Language Models via Identity Bridge Transformers as Support Vector Machines

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-03T05:27:44.313983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:27:44.313983Z digest=sha256:abf750c342742c2749657a7e33af26d33a7183f505dfb7f90d11f87400765efa

Observation 05e6f10a-8aec-477a-9e57-9ffc25a7b167 · inbound

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems cites this paper.

The Vision Wormhole: Latent-Space Communication in Heterogeneous Multi-Agent Systems Transformers as Support Vector Machines

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-02T22:58:10.372848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:58:10.372848Z digest=sha256:cc7e2f536c452d69d4aa0a0f52006e798cf8750de1921320d64eb8a33a75bcf0

Observation 1f989db2-7ee9-42ce-a9c8-08e7071c195a · inbound

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs cites this paper.

Transformers Learn the Optimal DDPM Denoiser for Multi-Token GMMs Transformers as Support Vector Machines

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:56:02.695029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T16:23:50.751356Z digest=sha256:7d02db79cf63cf135251a641c957dc55b0ce7ffb15889d43882edbf235d67653

Observation 023a0426-4a55-44c8-a0d0-33d006fe45e0 · inbound

The Implicit Bias of Depth: From Neural Collapse to Softmax Codes cites this paper.

The Implicit Bias of Depth: From Neural Collapse to Softmax Codes Transformers as Support Vector Machines

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:26:38.909933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-25T05:26:15.556205Z digest=sha256:eef38a470ea40a61aff75b6b89bae15fd96cf05aeb012d8bc29930fa96865f48

Observation 646c3f99-da1e-4d72-9e11-0c8a26d83dc1 · inbound

Tight Sample Complexity of Transformers cites this paper.

Tight Sample Complexity of Transformers Transformers as Support Vector Machines

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:57:29.147616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T17:33:48.373948Z digest=sha256:4a5b2bdf5156fc347a797b89abcdd53b1d147a03b992e4b0d2b446ee74f00edd

Observation 5d8fb22b-1525-4501-bf10-fa9568080a4e · inbound

Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence cites this paper.

Phase Transitions in Attention: A Bayesian Theory of Copy Head Emergence Transformers as Support Vector Machines

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:18:13.068660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T08:13:40.546738Z digest=sha256:3be78ac2459ed2b0086fb4359e3285e319a2c00de416ddd167690f52440d6b5e

Observation 0a6e143c-3a8b-4c0a-a4b2-e8967f3a26b6 · inbound

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D cites this paper.

Frontier Language Models Struggle to Copy: Text Can Be Better Viewed in 2D Transformers as Support Vector Machines

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T21:30:58.130989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:30:58.130989Z digest=sha256:65036646389996cc39c230e661532b363f371ab1aa9ef214028a48d3606e970f

Observation ca89681d-e3e9-4c19-97de-d86074f75c14 · inbound

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex cites this paper.

Training with (Swap) Regret Loss in a Single-Layer Self-Attention Model: A Case Study on the Probability Simplex Transformers as Support Vector Machines

Reference 202

Resolution
unresolved
no resolver link, observed 2026-07-31T23:52:06.947791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:52:06.947791Z digest=sha256:27cb2441ea1e59299402a60392ce0dbd6678015975b95405a2cc025f287d3266