Paper Citation Record · LEDGER

Neural Network Acceptability Judgments

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 39 inbound Pith citation observations for arXiv:1805.12471.

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

pith.paper-citation-record.v1
1805.12471 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 39 of 39 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:43.589516Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T21:16:34.237758Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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malformed identifier0
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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 62cde0dc-7632-42da-9e6a-e2fb60406040 · inbound

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding cites this paper.

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Neural Network Acceptability Judgments

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-12T21:24:15.591032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5e81cfa2-e8a4-4634-8a2b-c7395bd2cb82 · inbound

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems cites this paper.

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems Neural Network Acceptability Judgments

Reference 147

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:34:10.786302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a47ce014-e42f-4cb9-b107-931ebce220dd · inbound

RoBERTa: A Robustly Optimized BERT Pretraining Approach cites this paper.

RoBERTa: A Robustly Optimized BERT Pretraining Approach Neural Network Acceptability Judgments

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-09T04:47:44.491477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6927b9a2-8151-4cfb-8842-5a86d5c179b8 · inbound

On Identifiability in Transformers cites this paper.

On Identifiability in Transformers Neural Network Acceptability Judgments

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-14T13:58:53.274383Z

Source-reported events for the cited work

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Observation 6d67b1f7-5ba4-4885-8734-c47f26d2f32b · inbound

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding cites this paper.

StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding Neural Network Acceptability Judgments

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T13:42:20.402688Z

Source-reported events for the cited work

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Observation 2989673e-44be-48dd-ba9e-da4aadbbbd02 · inbound

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing cites this paper.

Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Neural Network Acceptability Judgments

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-14T13:08:08.556068Z

Source-reported events for the cited work

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Observation 0e17075b-b0e0-402d-bb5d-86f4e9a2a6f4 · inbound

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks cites this paper.

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks Neural Network Acceptability Judgments

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-14T10:47:14.385299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 973b62cf-8b9d-4227-aaab-8490481578c9 · inbound

Semantics-aware BERT for Language Understanding cites this paper.

Semantics-aware BERT for Language Understanding Neural Network Acceptability Judgments

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-14T04:59:31.965263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5effc7cf-f301-4326-9326-08b324eb5037 · inbound

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs cites this paper.

Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs Neural Network Acceptability Judgments

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-14T04:50:03.443285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3e36867-c1b9-46a2-8274-49604f21458a · inbound

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations cites this paper.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations Neural Network Acceptability Judgments

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T12:26:58.126204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c30a404-4683-4192-8f31-3770bfeb9542 · inbound

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

HuggingFace's Transformers: State-of-the-art Natural Language Processing Neural Network Acceptability Judgments

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:53:59.351203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 42bb24f5-4697-4f22-bb05-cfabbc907bef · inbound

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension cites this paper.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension Neural Network Acceptability Judgments

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-13T00:14:58.163693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e194d56d-7b41-4ece-a038-d9c7b57ebdaf · inbound

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators cites this paper.

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators Neural Network Acceptability Judgments

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:26:47.647143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aacf01b6-d9a8-4cd4-846d-32280a01a86c · inbound

LoRA: Low-Rank Adaptation of Large Language Models cites this paper.

LoRA: Low-Rank Adaptation of Large Language Models Neural Network Acceptability Judgments

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:01:40.825462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 702c6908-308b-40e4-8b73-9b63c904e4ec · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Neural Network Acceptability Judgments

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T20:53:17.222272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de7fcc87-342a-4b3a-bb3a-b8d1fbb31a47 · inbound

LoRA-Mini : Adaptation Matrices Decomposition and Selective Training cites this paper.

LoRA-Mini : Adaptation Matrices Decomposition and Selective Training Neural Network Acceptability Judgments

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-12T13:58:20.832836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dea8aa5-1fcd-4795-82b6-d9c2de06451b · inbound

HeteroTune: Efficient Federated Learning for Large Heterogeneous Models cites this paper.

HeteroTune: Efficient Federated Learning for Large Heterogeneous Models Neural Network Acceptability Judgments

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-12T13:29:09.439000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53eaa213-3f9a-44e9-97e9-f71cdb38f441 · inbound

Weak-to-Strong Generalization Through the Data-Centric Lens cites this paper.

Weak-to-Strong Generalization Through the Data-Centric Lens Neural Network Acceptability Judgments

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-11T22:06:28.521305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09919709-2096-41a3-b227-d0b6617d62c8 · inbound

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension cites this paper.

A Comparative Study of Learning Paradigms in Large Language Models via Intrinsic Dimension Neural Network Acceptability Judgments

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T19:55:43.889822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09ea29ae-43e2-4c64-99c0-20fb8c43146c · inbound

A General Framework for Inference-time Scaling and Steering of Diffusion Models cites this paper.

A General Framework for Inference-time Scaling and Steering of Diffusion Models Neural Network Acceptability Judgments

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T20:56:43.897876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 600f3437-2ef5-41e2-9932-cfbdf4ce259c · inbound

Harmonic Loss Trains Interpretable AI Models cites this paper.

Harmonic Loss Trains Interpretable AI Models Neural Network Acceptability Judgments

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T14:52:24.312828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0254b9ec-3565-4b91-8db5-7bf555c043f3 · inbound

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model cites this paper.

SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model Neural Network Acceptability Judgments

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T20:54:10.631118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b15a6572-a69e-4b56-b3b0-90f329ac5c5d · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Neural Network Acceptability Judgments

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:36:59.086711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b1bc142d-d17d-48a6-a4c3-d20793e2c83a · inbound

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks cites this paper.

The Ripple Effect: On Unforeseen Complications of Backdoor Attacks Neural Network Acceptability Judgments

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T20:55:43.589516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 516e593b-35b5-4d4e-8022-29ea2b71cb22 · inbound

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? cites this paper.

Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? Neural Network Acceptability Judgments

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T20:31:40.332787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 099b5deb-fa5d-498b-a030-d986393a59b0 · inbound

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging cites this paper.

Unraveling LoRA Interference: Orthogonal Subspaces for Robust Model Merging Neural Network Acceptability Judgments

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-07T13:03:13.700940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a9f4e5-0caa-4643-80c8-0ee51cb33f37 · inbound

Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective cites this paper.

Dissecting Bias in LLMs: A Mechanistic Interpretability Perspective Neural Network Acceptability Judgments

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:44.993184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62133c6a-1246-493c-b6fa-ad151b2a17cf · inbound

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future cites this paper.

The Evolution of Natural Language Processing: How Prompt Optimization and Language Models are Shaping the Future Neural Network Acceptability Judgments

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T19:07:06.941728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8ee5b01-8fdd-4f66-a609-acde727c652e · inbound

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models cites this paper.

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models Neural Network Acceptability Judgments

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T13:17:08.284180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34db74f8-349a-420f-9e8f-527b2237dc6e · inbound

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models cites this paper.

Sensitivity-LoRA: Low-Load Sensitivity-Based Fine-Tuning for Large Language Models Neural Network Acceptability Judgments

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T19:43:37.997828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39b41d6-d5c7-4a4e-b3ff-3c6d906ef6bc · inbound

HyperAdapt: Simple High-Rank Adaptation cites this paper.

HyperAdapt: Simple High-Rank Adaptation Neural Network Acceptability Judgments

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:46:25.936427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad1bd63c-066a-4881-9b45-8ad0f3484be9 · inbound

Calibrating Microgrid Simulations for Energy-Aware Computing Systems cites this paper.

Calibrating Microgrid Simulations for Energy-Aware Computing Systems Neural Network Acceptability Judgments

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-15T12:05:33.596957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eb504a6e-6396-43b7-ab80-676bdf5f0b7e · inbound

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style cites this paper.

Can You Make It Sound Like You? Post-Editing LLM-Generated Text for Personal Style Neural Network Acceptability Judgments

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:56:11.005192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation afd8fee2-e7a3-4b3d-9357-ddf8eada8671 · inbound

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference cites this paper.

On the (In-)Security of the Shuffling Defense in the Transformer Secure Inference Neural Network Acceptability Judgments

Reference 70

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T17:36:06.634884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e71d4bb-e23e-4504-ae70-71ccab984c87 · inbound

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts cites this paper.

PEML: Parameter-efficient Multi-Task Learning with Optimized Continuous Prompts Neural Network Acceptability Judgments

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:29:48.204626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a8f9126-3ffa-4e7f-ab2a-a67307063f6e · inbound

Convex Dataset Valuation for Post-Training cites this paper.

Convex Dataset Valuation for Post-Training Neural Network Acceptability Judgments

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:48:53.219618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8db466cf-528f-488d-aed3-16f2f09a3e90 · inbound

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning cites this paper.

STAR: Rethinking MoE Routing as Structure-Aware Subspace Learning Neural Network Acceptability Judgments

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:07:26.922351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3a8cd40f-d486-4e07-9006-bd4e5cf6934e · inbound

Riemannian Geometry for Pre-trained Language Model Embeddings cites this paper.

Riemannian Geometry for Pre-trained Language Model Embeddings Neural Network Acceptability Judgments

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-07-09T21:16:34.238910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4d75f6e-7f1a-4681-9345-92cdfd594636 · inbound

Verbalizable Representations Form a Global Workspace in Language Models cites this paper.

Verbalizable Representations Form a Global Workspace in Language Models Neural Network Acceptability Judgments

Reference 172

Resolution: unresolved; no resolver link, observed 2026-08-01T23:15:30.865807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.