Paper Citation Record · LEDGER

Datasets: A Community Library for Natural Language Processing

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2109.02846.

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

pith.paper-citation-record.v1
2109.02846 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 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 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:48:52.564869Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:50:00.022142Z

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 ba65e906-b8ee-408b-85e5-10b20f974cb1 · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Datasets: A Community Library for Natural Language Processing

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T14:48:08.600672Z

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.

Observation f32f75e3-67a2-49bb-8db4-79d313a9d93b · inbound

Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications cites this paper.

Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications Datasets: A Community Library for Natural Language Processing

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T01:08:41.912576Z

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.

Observation 6ff19ee1-aef8-4748-a449-0d8613a83934 · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Datasets: A Community Library for Natural Language Processing

Reference 151

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:15:16.309494Z

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.

Observation e9b948a3-6ad5-44d8-9d17-585963eabae9 · inbound

In-Context Learning (and Unlearning) of Length Biases cites this paper.

In-Context Learning (and Unlearning) of Length Biases Datasets: A Community Library for Natural Language Processing

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T14:48:52.564869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2e4fe03-9cd3-4012-b665-9745b1159398 · inbound

Defending against Backdoor Attacks via Module Switching cites this paper.

Defending against Backdoor Attacks via Module Switching Datasets: A Community Library for Natural Language Processing

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T20:32:04.738762Z

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.

Observation c870f26a-3973-4ed8-b586-29029ab0b941 · inbound

Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction cites this paper.

Beyond Simple Concatenation: Fairly Assessing PLM Architectures for Multi-Chain Protein-Protein Interactions Prediction Datasets: A Community Library for Natural Language Processing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:04:44.497007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec7ef6f0-768c-4196-b2de-863cf6d6e03b · inbound

LLM Performance for Code Generation on Noisy Tasks cites this paper.

LLM Performance for Code Generation on Noisy Tasks Datasets: A Community Library for Natural Language Processing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:42.162519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2457075-569a-4577-ad65-8e7d28d26839 · inbound

Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs cites this paper.

Leveraging Self-Attention for Input-Dependent Soft Prompting in LLMs Datasets: A Community Library for Natural Language Processing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:23.552355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e26d6800-9d60-4262-b3b4-ef343fb65ceb · inbound

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs cites this paper.

PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs Datasets: A Community Library for Natural Language Processing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:35:20.199005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc6a6b26-7110-43ad-9421-a3cc1965a40a · inbound

ATGen: A Framework for Active Text Generation cites this paper.

ATGen: A Framework for Active Text Generation Datasets: A Community Library for Natural Language Processing

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:48.526197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a167f797-a694-43dc-877a-0a8473d7862a · inbound

Stylometry recognizes human and LLM-generated texts in short samples cites this paper.

Stylometry recognizes human and LLM-generated texts in short samples Datasets: A Community Library for Natural Language Processing

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:09.745405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb93a26c-f2e6-4bc6-a0f2-092cd198f537 · inbound

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion cites this paper.

FedProxy: Federated Fine-Tuning of LLMs via Proxy SLMs and Heterogeneity-Aware Fusion Datasets: A Community Library for Natural Language Processing

Reference 113

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:56:05.885090Z

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.

Observation 72923882-f9d1-4ce9-9c09-617ee86ba6d9 · inbound

StarCLR: Contrastive Learning Representation for Astronomical Light Curves cites this paper.

StarCLR: Contrastive Learning Representation for Astronomical Light Curves Datasets: A Community Library for Natural Language Processing

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:06:22.170254Z

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.

Observation 8fa80390-28ca-429d-85fa-2f293f282bfb · inbound

Toeplitz MLP Mixers are Low Complexity, Information-Rich Sequence Models cites this paper.

Toeplitz MLP Mixers are Low Complexity, Information-Rich Sequence Models Datasets: A Community Library for Natural Language Processing

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T04:45:56.328704Z

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.

Observation e80ad890-648f-4139-b659-cfa220561300 · inbound

Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science cites this paper.

Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science Datasets: A Community Library for Natural Language Processing

Reference 124

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T01:37:55.964847Z

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.

Observation 695dc119-e159-4a1b-b59e-08e27fde3d02 · inbound

UniD$^3$: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning cites this paper.

UniD$^3$: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning Datasets: A Community Library for Natural Language Processing

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-06-28T17:02:24.229511Z

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.

Observation d4f24e84-76c1-4ff4-a490-b4ca3b50516e · inbound

Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence cites this paper.

Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence Datasets: A Community Library for Natural Language Processing

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:25:40.668382Z

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.

Observation 3d6b0dcc-a852-420e-ac55-b41ce04bc10e · inbound

Can Scale Save Us From Plasticity Loss in Large Language Models? cites this paper.

Can Scale Save Us From Plasticity Loss in Large Language Models? Datasets: A Community Library for Natural Language Processing

Reference 139

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:50:00.023793Z

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.

Observation 782316c9-8659-4938-b8fd-4b1be4aea7ce · inbound

Building the Ipseome: Large, Free, Open, Human Identity Data cites this paper.

Building the Ipseome: Large, Free, Open, Human Identity Data Datasets: A Community Library for Natural Language Processing

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T01:47:31.078443Z

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.

Observation 9fa5740a-222a-454e-897f-60a759649040 · inbound

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes Datasets: A Community Library for Natural Language Processing

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:39.938390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.