Paper Citation Record · LEDGER

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data

As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.14704.

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

pith.paper-citation-record.v1
2506.14704 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:51:54.976259Z

measured 33 of 33 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 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

33 of 33 outbound references displayed

verified exact6
verified fuzzy0
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b130a0c8-413b-4e53-8f9a-dbf4a6fdf310 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Deep Learning using Rectified Linear Units (ReLU)

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.807625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c954dbd2-7fb3-4e4a-b8d4-e09ec1ad14ba · outbound

This paper cites Physics of Language Models: Part 3.1, Knowledge Storage and Extraction.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Physics of Language Models: Part 3.1, Knowledge Storage and Extraction

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.813625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c079c27-4d63-45de-ad4f-3295e308e5b1 · outbound

This paper cites Ask the experts: sourcing high-quality datasets for nutritional counselling through Human-AI collaboration.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Ask the experts: sourcing high-quality datasets for nutritional counselling through Human-AI collaboration

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:51:55.089863Z

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 140bcb22-2156-4310-a94f-989b5778d0d7 · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:51:55.702723Z

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 6003f850-0924-4eb5-967f-bb98ceac3e64 · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:51:55.685849Z

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 745e6c97-194b-48f9-a955-717a0d386034 · outbound

This paper cites Language Models are Few-Shot Learners.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Language Models are Few-Shot Learners

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.835682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aae11b91-6dc0-4327-9e77-5b668b605f29 · outbound

This paper cites Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:51:55.545053Z

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 b35af356-9ae2-4c56-9ad4-ef501712587b · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.850894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99a498d4-9df2-4b79-a552-4e7593883226 · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.856057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd58ca1-1812-4db0-b2e5-60b03927a62a · outbound

This paper cites Breaking through the learning plateaus of in-context learning in Transformer.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Breaking through the learning plateaus of in-context learning in Transformer

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.861164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ee823d9-36de-4f3d-b154-2b323d67d3af · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 11

Resolution: verified exact; raw_fallback, observed 2026-08-15T19:51:55.502467Z

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 d2a06520-8f6f-4fe7-abeb-d45ac9abb5d7 · outbound

This paper cites What Matters in Transformers? Not All Attention is Needed.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data What Matters in Transformers? Not All Attention is Needed

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.871277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c242b52-bd62-4751-b0a7-e9c9ea43bdf3 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Gaussian Error Linear Units (GELUs)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.876930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 252af67f-7011-4e23-8f9e-907d47910961 · outbound

This paper cites Empirical Capacity Model for Self-Attention Neural Networks.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Empirical Capacity Model for Self-Attention Neural Networks

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:51:55.394274Z

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 160e3d09-3dd5-4082-90ce-0d0bf36c4832 · outbound

This paper cites ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.887324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5486e6a-889c-40d6-a020-6c4e994bbefd · outbound

This paper cites On the Optimal Memorization Capacity of Transformers.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data On the Optimal Memorization Capacity of Transformers

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.892242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2c79950-ad8d-4c38-aaf7-9988cbfd5204 · outbound

This paper cites Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.897012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0a6994-7fd9-4a72-91c0-51b7a7f177e9 · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:51:55.668381Z

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 a114cd2e-d84a-4079-917d-9b05e122c9a8 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Adam: A Method for Stochastic Optimization

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.906524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4c139d0-ba00-45f0-9a82-061ed2ef62ac · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.910995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 387f4de9-42a7-4fd9-bcde-37b5866ee7aa · outbound

This paper cites Memorization Capacity of Multi-Head Attention in Transformers.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Memorization Capacity of Multi-Head Attention in Transformers

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.915584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb09aea1-062c-4b28-855d-d90f7fb7bb21 · outbound

This paper cites The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data The Disharmony between BN and ReLU Causes Gradient Explosion, but is Offset by the Correlation between Activations

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:51:55.281475Z

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 e237f65c-0e56-48ac-a509-c79948188738 · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.925870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d946496c-4574-4620-ba8c-415dd49173f8 · outbound

This paper cites Transcoders Beat Sparse Autoencoders for Interpretability.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Transcoders Beat Sparse Autoencoders for Interpretability

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.930894Z

Source-reported events for the cited work

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Observation 552b15be-4f3b-4fa3-aa6f-1b1ad0fbf29d · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.936027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3357d297-d697-4d61-997f-74378effc196 · outbound

This paper cites A Study on ReLU and Softmax in Transformer.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data A Study on ReLU and Softmax in Transformer

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.940894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679547d8-9523-44ba-b034-bcfc09234216 · outbound

This paper cites Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.946026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 276973bf-4110-4aea-83d7-781db4a1e2b4 · outbound

This paper cites an unresolved cited work.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-15T19:51:55.638088Z

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 2c753d6c-4d9e-43a0-8517-a5d235361c98 · outbound

This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data HuggingFace's Transformers: State-of-the-art Natural Language Processing

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.955811Z

Source-reported events for the cited work

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Observation 147d481f-7612-4fd9-80fb-d6471351683e · outbound

This paper cites SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data SurgBox: Agent-Driven Operating Room Sandbox with Surgery Copilot

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:51:55.026102Z

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 dfaa7adb-f939-4a80-bd2d-395075990701 · outbound

This paper cites Empirical Evaluation of Rectified Activations in Convolutional Network.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data Empirical Evaluation of Rectified Activations in Convolutional Network

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.965979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2506143f-ac8f-4b43-9a29-0f1fd192659a · outbound

This paper cites online" 'onlinestring :=.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data online" 'onlinestring :=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.970946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92deb5c4-9d7b-40b3-bafc-787814447e82 · outbound

This paper cites write newline.

Capacity Matters: a Proof-of-Concept for Transformer Memorization on Real-World Data write newline

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-15T19:51:54.976259Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.