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Paper Citation Record · LEDGER

Transformers, parallel computation, and logarithmic depth

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.09268.

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

pith.paper-citation-record.v1
2402.09268 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T07:31:49.256416Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.211693Z

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 4795f215-a575-4255-99cb-a7da638fba73 · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Transformers, parallel computation, and logarithmic depth

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T07:43:11.752374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-15T07:43:11.620446Z digest=sha256:1cf9bff13107ac69643c724b60592f56fb97a47a46e218b804cb797ff37f99aa

Observation b287e471-de71-4da2-8c35-00b51f7fa60c · inbound

Scaling Latent Reasoning via Looped Language Models cites this paper.

Scaling Latent Reasoning via Looped Language Models Transformers, parallel computation, and logarithmic depth

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-04T07:31:49.256416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:31:49.256416Z digest=sha256:c05edf81d8a4d458bbaf02d561d5840be6cedd1bcf0fce344209427595698a4e

Observation 008b7f8f-7945-4c3e-ad8a-2123a4bb20e1 · inbound

Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory cites this paper.

Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory Transformers, parallel computation, and logarithmic depth

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-14T23:38:16.437964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-14T23:37:33.106390Z digest=sha256:603b221d7bd58fcf95ed15aa031e9219a5d5a9b44ec99d9eb7a41690d392153e

Observation 0ea6c3b7-73dc-4237-862e-3ae78d4a7e37 · 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 Transformers, parallel computation, and logarithmic depth

Reference 15

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T09:28:39.196418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T05:17:52.344313Z digest=sha256:c3d653e11f45e739b5e530a8d8378a070867d6e5ffc4d2b6f68bd84b46462ca3

Observation 6fe944a4-c69a-4f0d-91b1-702e31184b13 · inbound

There Will Be a Scientific Theory of Deep Learning cites this paper.

There Will Be a Scientific Theory of Deep Learning Transformers, parallel computation, and logarithmic depth

Reference 245

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:21:08.869630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-09T20:11:17.616190Z digest=sha256:b08a0629a681c152808c35ee22735b359edbc52b3eb4d01bfca9107e06fa0856

Observation e1af48db-cec8-4cc4-81c1-a229ba5be22f · inbound

Transformer Approximations from ReLUs cites this paper.

Transformer Approximations from ReLUs Transformers, parallel computation, and logarithmic depth

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:30.235337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-08T04:02:37.785615Z digest=sha256:1d69974a3f8110c1406906297de62d526e309a9ef07a80ce85bc0f20b23bfeb7

Observation f1e7a1e4-cf99-4443-8a46-9ee9405a8274 · inbound

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers cites this paper.

Lost in Tokenization: Fundamental Trade-offs in Graph Tokenization for Transformers Transformers, parallel computation, and logarithmic depth

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:04:41.417376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=arxiv_source observed=2026-05-22T07:03:52.438466Z digest=sha256:66ae0b58a77b41a36c99434c69c2af8c2af340bfff78527f0533b51d5a5e4522

Observation 8b2a5a20-3c25-48d6-a28c-d383d34b606c · inbound

Higher-Order Token Interactions via Quantum Attention cites this paper.

Higher-Order Token Interactions via Quantum Attention Transformers, parallel computation, and logarithmic depth

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-03T11:18:03.213135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-27T09:40:42.581423Z digest=sha256:56d77f8280e2c5b86f176e773a980fcf3e8119770818dbee9a7693d45be4e702