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Paper Citation Record · LEDGER

Datasets: A Community Library for Natural Language Processing

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 29 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 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 29 of 29 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:38:35.349681Z

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
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  • 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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-16T14:48:08.508109Z digest=sha256:bdfb46b683786857b3f8640431d9bde9f4babfea427edf064625599e7a693331

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T01:06:48.298874Z digest=sha256:399936621cdb62d021bdb209514cfd868fc7a3790db3485f14bf36b25c842cac

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-14T21:15:16.112918Z digest=sha256:c126b22a50b031040f4fd1df6100068af34e22f12cebe34419d67170f40248e9

Observation 707f4840-854e-46e3-bd94-86e5be151a46 · inbound

Federated Continual Graph Learning cites this paper.

Federated Continual Graph Learning Datasets: A Community Library for Natural Language Processing

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T10:49:25.822913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:49:25.822913Z digest=sha256:3ad30fcc3f124eefe93ab106746358e11c5caa1beb1fa9550deeae3ecaa3818e

Observation a35190b0-bf25-4026-a574-2bb2e90f4901 · inbound

Multimodal Sentiment Analysis based on Video and Audio Inputs cites this paper.

Multimodal Sentiment Analysis based on Video and Audio Inputs Datasets: A Community Library for Natural Language Processing

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T17:09:02.694773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:09:02.694773Z digest=sha256:5b3594464093ce1e9d21dbfbb2d40ec98ef742c0e8f2b6246fe6d19d89c1c437

Observation c97c5f75-4c9c-4e0f-9390-2358802b8892 · inbound

LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering cites this paper.

LLM Distillation for Efficient Few-Shot Multiple Choice Question Answering Datasets: A Community Library for Natural Language Processing

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T16:47:09.370025Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:47:09.370025Z digest=sha256:3c172a77e135b67fc224a364f86680c7ce7889fde6cfe1f80dd3ed438d4bb058

Observation 6652db65-ac99-45f0-b09e-1caa247b29ac · inbound

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks cites this paper.

Graph Learning in the Era of LLMs: A Survey from the Perspective of Data, Models, and Tasks Datasets: A Community Library for Natural Language Processing

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T14:06:18.449062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:06:18.449062Z digest=sha256:dd70d68eccb709be6b6c1bd4e3a6641440404381954d09c125ed81f2fe36e061

Observation a958f3fd-f600-4289-9f90-46ed44845937 · inbound

Jasper and Stella: distillation of SOTA embedding models cites this paper.

Jasper and Stella: distillation of SOTA embedding models Datasets: A Community Library for Natural Language Processing

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T01:03:28.337153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T01:03:28.337153Z digest=sha256:267f386be91100f53972be21a24f44c2aba67bf903605f2b743357aa85587c43

Observation 88f028de-c1dd-48a4-ba2f-35ff39e8240f · inbound

OpenGU: A Comprehensive Benchmark for Graph Unlearning cites this paper.

OpenGU: A Comprehensive Benchmark for Graph Unlearning Datasets: A Community Library for Natural Language Processing

Reference 40

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unresolved
no resolver link, observed 2026-08-10T22:10:05.357860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:10:05.357860Z digest=sha256:4d67f44bc88831cfcc5547db700d0354236b6140b2cfc954c27c4c54783f2bed

Observation 265bd8e6-1408-4720-bae8-91dc2bf3c71e · inbound

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach cites this paper.

Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Datasets: A Community Library for Natural Language Processing

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T18:01:34.751965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:01:34.751965Z digest=sha256:54b96a91780716431bbbd27300cdb565e919d399e2199fd5096b5938f92f3aaa

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.

source=arxiv_source observed=2026-08-08T14:48:52.564869Z digest=sha256:7b82b7229943dfcbdc9963d930521db09a2e18d072023b134daf0010b04bc6d1

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-22T20:28:24.169272Z digest=sha256:4992daa624ea364cbc4ffeff92b84a0d367124f0517ff58708e0018ab7954e08

Observation 918e8620-4b0e-4d41-9263-0fe7a337a9b8 · inbound

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach cites this paper.

Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Datasets: A Community Library for Natural Language Processing

Reference 2010

Resolution
unresolved
no resolver link, observed 2026-08-16T04:38:35.349681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:38:35.349681Z digest=sha256:34cc18fe72c0bf8ca6161531ae78d2896419500807b5cea644e4c4d2997753db

Observation f2494901-9490-4903-b6f5-25c993a917a7 · inbound

AGI-Elo: How Far Are We From Mastering A Task? cites this paper.

AGI-Elo: How Far Are We From Mastering A Task? Datasets: A Community Library for Natural Language Processing

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:22.351795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:31:22.351795Z digest=sha256:94ba2d0d8798afed3d6401c70e0ba5bd2f64f84eb27e3e6f9b95a639588a7404

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.

source=pdf_text observed=2026-08-07T14:04:44.497007Z digest=sha256:30c4887826ffe20e16ea862fdc5c58c35a235c297954893696cbba5b495f0d4a

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.

source=pdf_text observed=2026-08-07T12:45:42.162519Z digest=sha256:e6516622b6103a853f0877df260a5f4aa23a4f6a330423d81622e7c839ee0f08

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.

source=arxiv_source observed=2026-08-07T10:17:23.552355Z digest=sha256:cda882933f122c3078493b853d0e9c84c2d672172cb2ca2cd8fc67a710455650

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:35:20.199005Z digest=sha256:446bf935ef41a05c67a1870098a9b136e443040759bc1ca9aadeb2da01eb54a4

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.

source=arxiv_source observed=2026-08-06T21:49:48.526197Z digest=sha256:ddb4b0fc04138166ee3f64a93ebd19240e6b611e236911c2fbcc31d8b852cd54

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.

source=arxiv_source observed=2026-08-06T21:15:09.745405Z digest=sha256:bd5a1636ef040dd2959b70df4dd49d6547bd83023ca37f3a2e8f1da17e86a8c9

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-10T02:35:40.593397Z digest=sha256:47999230a3b55d531178f20a77f53ee51f6bb863a08576e4d2a9c518c840b358

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-08T01:30:28.212867Z digest=sha256:82714ec6e59fc7c9bdabb24163ff2b358d22adf9d6451f82b841bd41dc254022

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-11T01:07:33.756985Z digest=sha256:a9a0523f4482dbe616250bb89c59ae3753b52e825bc855bbf3028495b0e585ac

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

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T01:35:03.885499Z digest=sha256:3041e7d0a810c0d0474ca37d164f5ead043931f426a753f838e19f3212005f8d

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

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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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-28T16:59:11.402443Z digest=sha256:bafb0b9e4e4dc2cba88ae6b2e709ed134bd77b93f716537fe3f6d36b64d65cb9

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-01T09:06:56.283831Z digest=sha256:0b02ca32add40fc9dbdfec62f384bf00525a9640d7fc33f6e5d390169e179df5

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-25T23:26:57.147374Z digest=sha256:57dd63e5d67eb8cb219e23dffb468a845d7a042b091f67e85ee574f9c29a35df

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-07-03T01:41:46.846499Z digest=sha256:0bd5b4b93177deb1f1d0112e3aecc55f6eb467e4404bfd9b7c32ff8fade474d7

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.

source=arxiv_source observed=2026-08-04T07:49:39.938390Z digest=sha256:75bd4172d34e82189d3a4071c710afae78cd4a7516acd1cc95cb99b34321d9b6