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Paper Citation Record · LEDGER

Neural Network Acceptability Judgments

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 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 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:59:31.965263Z

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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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 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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-12T21:24:14.913907Z digest=sha256:96289438e39a257ab53abe8256b4fab0816bfc91f743b25b7937582203940699

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T01:34:10.604864Z digest=sha256:8bb39a37c921fcd31f1f9164e7d4cc0f3a1300e0e5ebf28d81630c38082fedb8

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T04:47:43.784327Z digest=sha256:4ff0f2d518b278d8c262ae757bc84db1c95ef46f13f001a5ded4826b2db22a32

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:59:31.965263Z digest=sha256:1915a913074161340d03613a0b1bd6625ee80afaa2953728568bf03786c11c43

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:03.443285Z digest=sha256:623fb0a9ad74c6489e25b06fc03a9d8db4b6377c7eb3c806bb38b939a7a00eea

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T12:26:58.015594Z digest=sha256:5db4f117e89a38e0e15f25a96a5bdf03b0a72def7e8aa0b6dcb5314862eee797

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T14:53:58.963468Z digest=sha256:2e002175732a3f15dc01f8066744e5c1441038320f772bdc81fcdc18c74d569f

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-13T00:14:58.134513Z digest=sha256:d1c9b9baffca3fd405cc61ee2d4e7ec01bfbe1da050438765d85da693072a72d

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T10:26:47.593122Z digest=sha256:67901a9050f78e7e99220b952af4801bf0f59365d86582e14641ca358784043a

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-09T05:01:39.906340Z digest=sha256:fae0f2212408c130450f8d5f9bcca6176fb2e798330389d06fede0731d21f4c3

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T20:53:16.720145Z digest=sha256:239932788c56bae7fa6f940838861b4b1c22062728bfcc84ecebefa5d343bf46

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:58:20.832836Z digest=sha256:e6c7845b5a645c77500a83b88a62bc3e6da652e1cf5fd5cc913084417e05fd66

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:29:09.439000Z digest=sha256:e14e00a91b2f1e0ad92df1cdcc3019742170cbd5e3597a85fa165e40499b3801

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T22:06:28.521305Z digest=sha256:04c82d2932cff957a2c53d7cded8a6d3fef0f30186d6b5ac8a7b40562a8f23de

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:55:43.889822Z digest=sha256:88c1e0d6f780088216538384551156c125ea5095a5a16b6f165fbd5e716cffd9

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:56:43.897876Z digest=sha256:9d1c53f487c1f752aa84041da58e4d0615dda2e1290df7a832fb8d71f1faba51

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T14:52:24.312828Z digest=sha256:e81f1afdab59b97971146b7cff61afb9f27c4547e92a8ea296f81ce524bc4dcd

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T20:54:10.631118Z digest=sha256:ab38a600819396345d2d7245c5599a03d31c549e0aa32e96d15774388504bf4c

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T18:36:48.376877Z digest=sha256:e1a8441d348eabc49ff8b763705bc669f5eb5f7845d09389d246a1488e11ad13

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:03:13.700940Z digest=sha256:99a82705711f10600fd49fc972c3c4923af1c0bca37e4aa244bb7bdefdfdb7fb

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:29:44.993184Z digest=sha256:f448233a64e2cf52022c8888b2154c9aa56a83d60449ab27915e90a22ff87d31

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:17:08.284180Z digest=sha256:91f75a4ac242f801e8cc3ccdb6f37cb6fb306b242a2115d59ec5a4bb66a5fa57

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:43:37.997828Z digest=sha256:9d63138922b971730660502542eb5cf83fe38beae96b555bf10d79dc3fe28321

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-18T13:44:09.263459Z digest=sha256:16a978fee8126659de82e51b6e9d06ecbff886cd347df6098e66d1040fe5deac

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T12:03:17.862705Z digest=sha256:a8eb901d1d008d1903449057a0d873bbe34bc05f977e64b8792ed2487013a904

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T03:53:56.401646Z digest=sha256:27023b5d07b564e8ec0c6e2d6630cdb2dbb67fb2e9945149213a99c25aaea34d

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-08T17:24:04.123827Z digest=sha256:8093f09c3bdedb27efa028935771ef55e697e9d4eac0bcf2dfa2c40df0d5b7ca

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-15T05:25:38.967645Z digest=sha256:50a28524a4c64d387ee8d23df293395ff2066eabe6f6d4b38454c43355887534

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-20T18:48:15.774746Z digest=sha256:edcf7eb4821556d6314fb9597c29747a126ba7b2616d7dcd60c7ead262ce3b76

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

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T18:28:35.162934Z digest=sha256:529b2f63caf8b5ef6b7127f84d28d2c21a083d612533d81d942030bc40fbf3cc

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

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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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-07-09T21:11:02.461038Z digest=sha256:dd462a492c854442b66f4d51dea48c47bfd50bdbc6fedebe08884b50e9eef672

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:15:30.865807Z digest=sha256:815e7d45b729338e6586da9bd7d74c7358507dbb982dba1f6c77d7bd3f96a479