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Paper Citation Record · LEDGER

Representational Strengths and Limitations of Transformers

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2306.02896.

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

pith.paper-citation-record.v1
2306.02896 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:18:21.336902Z

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

12
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 c477d43d-df05-43f5-a99c-dda98e38cdf9 · inbound

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models cites this paper.

H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models Representational Strengths and Limitations of Transformers

Reference 102

Resolution
verified exact
arxiv_id, observed 2026-05-17T18:00:50.281507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T18:00:50.053377Z digest=sha256:216523445bf750632f62f007e8c9d2b833c45aae164235a7ab6a35e8e6aa52fa

Observation 894bbf27-de65-4495-aee5-38626bc0f641 · inbound

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers cites this paper.

Pause Tokens Strictly Increase the Expressivity of Constant-Depth Transformers Representational Strengths and Limitations of Transformers

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T13:52:59.088184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:52:59.088184Z digest=sha256:63b9d8b310553fb0cd47770d11fa95c7ec67a795ade479b34cf14a902375b07f

Observation 9e29a8a8-5a31-4110-b43b-ed1dbccdd87e · 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 Representational Strengths and Limitations of Transformers

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T06:10:19.882192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T06:10:19.882192Z digest=sha256:d01e1ecab5d4bebaf6721e09223d402fe723da1fe7feab1b562f2b3d40a3188a

Observation 422963d4-cb7f-4378-a360-7421dd77f6e6 · inbound

How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers cites this paper.

How Much Cache Does Reasoning Need? Depth-Cache Tradeoffs in KV-Compressed Transformers Representational Strengths and Limitations of Transformers

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-10T09:28:39.188829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T05:17:52.344313Z digest=sha256:0a3736e2b694bdbdad3e36732cd12ca13924de0ec654952dd90d705e28b8d775

Observation d97f301c-2f25-4162-885a-0d5760b17940 · inbound

A Sharper Picture of Generalization in Transformers cites this paper.

A Sharper Picture of Generalization in Transformers Representational Strengths and Limitations of Transformers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:03:59.153525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T06:01:03.524290Z digest=sha256:78d10597baa4537ed547c11a66dd747f620b541b024eb397a3ba34f40b25e0a4

Observation 0907f4ab-5d81-448e-80d2-38608b8c324f · inbound

A Sharper Picture of Generalization in Transformers cites this paper.

A Sharper Picture of Generalization in Transformers Representational Strengths and Limitations of Transformers

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-06-30T17:24:56.424574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T17:22:30.861739Z digest=sha256:6122e7e3bc66ccd471f8c99b7842bd72a56f7cb99e0f180e985b57dcbdbc8e33

Observation 86ab37cb-49d5-42fb-af24-be20ace948a2 · inbound

Keyless Attention: Value-Space Routing and Value-Only Caching for Efficient Transformers cites this paper.

Keyless Attention: Value-Space Routing and Value-Only Caching for Efficient Transformers Representational Strengths and Limitations of Transformers

Reference 32

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T07:59:40.289591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T12:20:42.292943Z digest=sha256:ec4b304c2661d0195deb022b785fcbcf593654e19e08aa8de821dd4af162a81c

Observation dd0e4ca4-6e73-4829-b879-28505d654207 · inbound

Structure Before Collapse: Transient semantic geometry in next-token prediction cites this paper.

Structure Before Collapse: Transient semantic geometry in next-token prediction Representational Strengths and Limitations of Transformers

Reference 102

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:29:51.076087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T05:14:07.208255Z digest=sha256:14008a531298d1619a5d04936a7a2ad19da4da74f01468c322ff30e0baf98fae

Observation d33e055e-3c73-4dd4-b5af-c34cfbdbbfa7 · inbound

Attention-based representations for multi-task computation cites this paper.

Attention-based representations for multi-task computation Representational Strengths and Limitations of Transformers

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T00:18:21.336902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:18:21.336902Z digest=sha256:d43c87a2e1799db5f42c55fa2b737d9fdb4b94da7b2a6395abdf5ea821aeb6c4