Paper Citation Record · LEDGER

ListOps: A Diagnostic Dataset for Latent Tree Learning

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1804.06028.

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

pith.paper-citation-record.v1
1804.06028 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:57:17.654832Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-01T14:05:46.379510Z

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 8b4713d8-f853-4a5d-a5c0-72a8bc350723 · inbound

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.

The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 269

Resolution: unresolved; no resolver link, observed 2026-08-12T20:23:11.232422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23721247-848d-4962-b704-2f8d25f48ff0 · inbound

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction cites this paper.

Token Statistics Transformer: Linear-Time Attention via Variational Rate Reduction ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:18:28.961592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45d53c5-99e0-48f3-a384-05033de4f70d · inbound

Irrational Complex Rotations Empower Low-bit Optimizers cites this paper.

Irrational Complex Rotations Empower Low-bit Optimizers ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T16:49:47.126947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94e0fe1b-b746-4fa5-b1a1-0ce2f0cff237 · inbound

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain cites this paper.

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 1993

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:17.654832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e98dc78b-1873-4a4a-964b-623cc0186407 · inbound

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations cites this paper.

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 99

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:09:07.224335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2c33e206-5078-4268-9613-9810256df8a2 · inbound

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations cites this paper.

Hardware-Software Co-Design of Scalable, Energy-Efficient Analog Recurrent Computations ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 99

Resolution: verified exact; local_arxiv, observed 2026-07-01T14:05:46.382723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63bf1683-48b1-4c47-9435-98e0a23fdf13 · inbound

Towards Understanding Self-Pretraining for Sequence Classification cites this paper.

Towards Understanding Self-Pretraining for Sequence Classification ListOps: A Diagnostic Dataset for Latent Tree Learning

Reference 141

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T05:33:58.894117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.